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Editor’s Choice Articles

Editor’s Choice articles are based on recommendations by the scientific editors of MDPI journals from around the world. Editors select a small number of articles recently published in the journal that they believe will be particularly interesting to readers, or important in the respective research area. The aim is to provide a snapshot of some of the most exciting work published in the various research areas of the journal.

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12 pages, 1593 KB  
Review
Next-Generation CAR-T and TCR-T Cell Therapies for Solid Tumors: Innovations, Challenges, and Global Development Trends
by Tomomi Sanomachi, Yuki Katsuya, Tetsuya Nakatsura and Takafumi Koyama
Cancers 2025, 17(12), 1945; https://doi.org/10.3390/cancers17121945 - 11 Jun 2025
Cited by 4 | Viewed by 8229
Abstract
Chimeric antigen receptor (CAR)-T and T-cell receptor (TCR)-engineered T-cell (TCR-T) therapies have revolutionized the treatment of hematological malignancies; however, their application to solid tumors remains a formidable challenge. The immunosuppressive tumor microenvironment, antigen heterogeneity, and manufacturing complexity limit the clinical efficacy and scalability [...] Read more.
Chimeric antigen receptor (CAR)-T and T-cell receptor (TCR)-engineered T-cell (TCR-T) therapies have revolutionized the treatment of hematological malignancies; however, their application to solid tumors remains a formidable challenge. The immunosuppressive tumor microenvironment, antigen heterogeneity, and manufacturing complexity limit the clinical efficacy and scalability of these treatment modalities. This review provides a comprehensive analysis of the current clinical development strategies for CAR-T and TCR-T cell therapies for solid tumors. Herein, we discuss recent breakthroughs and highlight the potential of TCR-T cell therapy. Furthermore, innovative approaches for enhancing CAR-T cell function in solid tumors (e.g., in vivo engineering; induced pluripotent stem cell-derived allogeneic CAR-T cells; armored CAR constructs; dual-antigen targeting; and combination regimens with checkpoint inhibitors, chemotherapy, radiotherapy, and oncolytic viruses) are explored. We also present trends in global patent activity, revealing a marked acceleration in CAR-T- and TCR-T-related innovations, with the United States and China leading with respect to application volumes. This field is increasingly characterized by multidisciplinary collaborations between academia and industry, driving the development of next-generation platforms, including messenger RNA-based and off-the-shelf cell therapies. Although no CAR-T product has been approved for solid tumors, these findings underscore the accelerating momentum and translational promise of adoptive cell therapies. Addressing the unique biological and logistical challenges of solid tumors is essential for realizing the full potential of these transformative immunotherapies. Full article
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11 pages, 561 KB  
Review
Current Progress and Future Perspectives of RNA-Based Cancer Vaccines: A 2025 Update
by Matthias Magoola and Sarfaraz K. Niazi
Cancers 2025, 17(11), 1882; https://doi.org/10.3390/cancers17111882 - 4 Jun 2025
Cited by 11 | Viewed by 12468
Abstract
RNA-based cancer vaccines have emerged as transformative immunotherapeutic platforms, leveraging advances in mRNA technology and personalized medicine approaches. Recent clinical breakthroughs, particularly the success of mRNA-4157 combined with pembrolizumab in melanoma patients, have demonstrated significant improvements in efficacy, with a 44% reduction in [...] Read more.
RNA-based cancer vaccines have emerged as transformative immunotherapeutic platforms, leveraging advances in mRNA technology and personalized medicine approaches. Recent clinical breakthroughs, particularly the success of mRNA-4157 combined with pembrolizumab in melanoma patients, have demonstrated significant improvements in efficacy, with a 44% reduction in recurrence risk compared to checkpoint inhibitor monotherapy. Breakthrough results from pancreatic cancer vaccines and novel glioblastoma treatments using layered nanoparticle delivery systems mark 2024–2025 as a pivotal period for RNA cancer vaccine development. Current RNA vaccine platforms include conventional mRNA, self-amplifying RNA, trans-amplifying RNA, and emerging circular RNA technologies, with over 120 clinical trials currently underway across various malignancies. Critical advances in delivery optimization include next-generation lipid nanoparticles with tissue-specific targeting and novel nanoengineered systems achieving rapid immune system reprogramming. Manufacturing innovations focus on automated platforms, reducing production timelines from nine weeks to under four weeks for personalized vaccines, while costs remain challenging at over $ 100,000 per patient. Artificial intelligence integration is revolutionizing neoantigen selection through advanced algorithms and CRISPR-enhanced platforms, while regulatory frameworks are evolving with new FDA guidance for therapeutic cancer vaccines. Non-coding RNA applications, including microRNA and long non-coding RNA therapeutics, represent emerging frontiers with potential for enhanced immune modulation. With over 60 candidates in clinical development and the first commercial approvals anticipated by 2029, RNA cancer vaccines are positioned to become cornerstone therapeutics in personalized oncology, offering transformative hope for cancer patients worldwide. Full article
(This article belongs to the Special Issue Advances in Drug Delivery for Cancer Therapy)
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14 pages, 3146 KB  
Article
A High Performing Biomarker Signature for Detecting Early-Stage Pancreatic Ductal Adenocarcinoma in High-Risk Individuals
by Norma A. Palma, Aimee L. Lucas, Bryson W. Katona, Alcibiade Athanasiou, Natasha M. Kureshi, Lisa Ford, Thomas Keller, Stephen Weber, Ralph Schiess, Thomas King, Diane M. Simeone and Randall Brand
Cancers 2025, 17(11), 1866; https://doi.org/10.3390/cancers17111866 - 2 Jun 2025
Cited by 4 | Viewed by 2556
Abstract
Background/Objectives: Early detection of pancreatic cancer can improve patient survival, and blood-based biomarkers to aid in this are a significant need. The goal of this study was to develop and evaluate the performance of a 4- to 6-plex biomarker signature for detection of [...] Read more.
Background/Objectives: Early detection of pancreatic cancer can improve patient survival, and blood-based biomarkers to aid in this are a significant need. The goal of this study was to develop and evaluate the performance of a 4- to 6-plex biomarker signature for detection of early-stage pancreatic ductal adenocarcinoma (PDAC) that performs well in high-risk controls. Methods: Enzyme-linked immunosorbent assays were used to measure 10 previously identified serum protein biomarker candidates in Stage I and II PDAC cases (n = 128), high-risk controls (n = 465), and normal-risk controls (n = 30). Various combinations of biomarker candidates (models) were trained using machine learning and tested for robustness in differentiating cases from controls on the full cohort and in clinically relevant sub-types including those with diabetes, those ≥65 years of age, and low producers of carbohydrate antigen 19-9 (CA 19-9). Results: At 98% specificity, the top performing model, which was comprised of tissue inhibitor of metalloproteinase 1 (TIMP1), intracellular adhesion molecule 1 (ICAM1), thrombospondin 1 (THBS1), cathepsin D (CTSD), and CA 19-9, achieved 85% sensitivity in the full cohort and sensitivities of 91% in diabetics, 90% in ≥65 years of age, and 60% in low CA 19-9 producers. This model demonstrated significantly higher sensitivity in detecting PDAC in the full cohort and all sub-populations compared to CA 19-9 alone (p < 0.001). Conclusions: Our findings demonstrate the feasibility of a blood-based assay for detecting early-stage PDAC in high-risk individuals and key sub-populations, representing an important step towards improving diagnostic success for early-stage disease. Full article
(This article belongs to the Section Cancer Biomarkers)
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34 pages, 4621 KB  
Review
Lymphatic Metastasis of Esophageal Squamous Cell Carcinoma: The Role of NRF2 and Therapeutic Strategies
by Yahui Li, Zachary Ladd, Zhaohui Xiong, Candice Bui-Linh, Chorlada Paiboonrungruang, Boopathi Subramaniyan, Huan Li, Haining Wang, Curt Balch, David D. Shersher, Francis Spitz and Xiaoxin Chen
Cancers 2025, 17(11), 1853; https://doi.org/10.3390/cancers17111853 - 31 May 2025
Cited by 3 | Viewed by 3410
Abstract
The lethality of esophageal squamous cell carcinoma (ESCC), and other epithelial cancers, is primarily due to its aggressive nature and frequent lymphatic metastasis, both of which impact prognosis. In this review, we explore the underlying molecular mechanisms of ESCC lymphatic metastasis, specifically, the [...] Read more.
The lethality of esophageal squamous cell carcinoma (ESCC), and other epithelial cancers, is primarily due to its aggressive nature and frequent lymphatic metastasis, both of which impact prognosis. In this review, we explore the underlying molecular mechanisms of ESCC lymphatic metastasis, specifically, the functional role of NRF2 and therapeutic strategies. Current data suggest that NRF2 hyperactivation (NRF2high) may promote lymphatic metastasis of ESCC by affecting the extracellular matrix (ECM), epithelial–mesenchymal transition (EMT), lymphangiogenesis, immune evasion, metabolic programming, and Hippo signaling. We also update the latest developments in NRF2 inhibitors, their mechanisms of action, screening strategies, and approaches for evaluating compound efficacy. Finally, we highlight the utility of animal models for mechanistic studies and therapeutic development. We believe elucidation of the functional role of NRF2 in ESCC lymphatic metastasis and developing proper NRF2 inhibitors will greatly improve the clinical prognosis of ESCC in human patients. Full article
(This article belongs to the Special Issue Advances in Esophageal Cancer)
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20 pages, 578 KB  
Review
Harnessing Artificial Intelligence in Pediatric Oncology Diagnosis and Treatment: A Review
by Mubashir Hassan, Saba Shahzadi and Andrzej Kloczkowski
Cancers 2025, 17(11), 1828; https://doi.org/10.3390/cancers17111828 - 30 May 2025
Cited by 3 | Viewed by 2203
Abstract
Artificial intelligence (AI) is rapidly transforming pediatric oncology by creating new means to improve the accuracy and efficacy of cancer diagnosis and treatment in children. This review critically examines current applications of AI technologies like machine learning (ML) and deep learning (DL) to [...] Read more.
Artificial intelligence (AI) is rapidly transforming pediatric oncology by creating new means to improve the accuracy and efficacy of cancer diagnosis and treatment in children. This review critically examines current applications of AI technologies like machine learning (ML) and deep learning (DL) to the main types of pediatric cancers. However, the application of AI to pediatric oncology is prone to certain challenges, including the heterogeneity and rarity of pediatric cancer data, rapid technological development in imaging, and ethical concerns pertaining to data privacy and algorithmic transparency. Collaborative efforts and data-sharing schemes are important to surpass these challenges and facilitate effective training of AI models. This review also points to emerging trends, including AI-based radiomics and proteomics applications, and provides future directions to realize the full potential of AI in pediatric oncology. Finally, AI is a promising paradigm shift toward precision medicine in childhood cancer treatment, which can enhance the survival rates and quality of life for pediatric patients. Full article
(This article belongs to the Section Cancer Informatics and Big Data)
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13 pages, 1624 KB  
Article
Proportional Correlation Between Systemic Inflammation Response Index and Gastric Cancer Recurrence Time: A Retrospective Study
by Kyungryun In, Sunhyung Kang, Hyunseok Lee, Hyuksoo Eun, Heeseok Moon, Eaumseok Lee, Seokhyun Kim, Jaekyu Sung and Byungseok Lee
Cancers 2025, 17(9), 1415; https://doi.org/10.3390/cancers17091415 - 23 Apr 2025
Cited by 2 | Viewed by 1084
Abstract
Background: Disease recurrence is the primary cause of death in patients with gastric cancer who have undergone complete surgical resection. No prognostic factors for recurrence, other than the Tumor, Node, and Metastasis stage, have been established. However, recurrence rates differ even within the [...] Read more.
Background: Disease recurrence is the primary cause of death in patients with gastric cancer who have undergone complete surgical resection. No prognostic factors for recurrence, other than the Tumor, Node, and Metastasis stage, have been established. However, recurrence rates differ even within the same Tumor, Node, and Metastasis stage. Therefore, we aimed to develop a new prognostic confidence measure for gastric cancer recurrence and demonstrate its practical utility. Methods: This was a retrospective study based on the medical records of the Chungnam National University Hospital, Republic of Korea. We enrolled patients diagnosed with stage II/III gastric cancer who underwent complete surgical resection and adjuvant chemotherapy over the past 12 years. The association between seven variables, including the systemic inflammation response index (SIRI) and gastric cancer recurrence, was analyzed. Results: A total of 296 patients were enrolled in this study. Although other factors did not exhibit significant correlations, SIRI showed a significant positive correlation with gastric cancer recurrence risk, confirmed through Cox regression testing (hazard ratio, 1.231; 95% confidence interval, 1.04–1.45). Linear regression analysis revealed a significant association between higher SIRI values and shorter recurrence time (p = 0.044; β = −0.225). Conclusions: In this study, other than SIRI, effective prognostic factors related to gastric cancer recurrence were not verified, thus indicating SIRI as a potential independent prognostic factor. Full article
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27 pages, 15911 KB  
Article
Pro-Inflammatory Cytokines Transactivate Glycosylated Cytokine Receptors on Cancer Cells to Induce Epithelial–Mesenchymal Transition to the Metastatic Phenotype
by Leili Baghaie, David A. Bunsick, Emilyn B. Aucoin, Elizabeth Skapinker, Abdulrahman M. Yaish, Yunfan Li, William W. Harless and Myron R. Szewczuk
Cancers 2025, 17(7), 1234; https://doi.org/10.3390/cancers17071234 - 5 Apr 2025
Cited by 2 | Viewed by 1364
Abstract
Background/Objectives: The significance of cytokine signaling on cancer progression and metastasis has raised interest in cancer research over the last few decades. Here, we analyzed the effects of three cytokines that we previously reported are significantly upregulated rapidly after the surgical removal of [...] Read more.
Background/Objectives: The significance of cytokine signaling on cancer progression and metastasis has raised interest in cancer research over the last few decades. Here, we analyzed the effects of three cytokines that we previously reported are significantly upregulated rapidly after the surgical removal of primary breast, colorectal, and prostate cancer. We also investigated the regulation of their cognate receptors. Methods: All experiments were conducted using the PANC-1, SW620, and MCF-7 cell lines, treated with three different cytokines (TGF-β1, HGF, and IL-6). The effect of these cytokines on the expression of epithelial–mesenchymal transition (EMT) cell surface markers and neuraminidase-1 activity was measured via fluorescent microscopy and image analysis software. Results: The findings show that these cytokines increase the expression of mesenchymal markers while reducing epithelial markers, corresponding to the EMT process. A strong link between cytokine receptor signaling and the Neu-1-MMP-9-GPCR crosstalk was identified, suggesting that cytokine receptor binding leads to increased Neu-1 activity and subsequent signaling pathway activation. Oseltamivir phosphate (OP) prevented sialic acid hydrolysis by neuraminidase-1 (Neu-1), leading to the downregulation of these signaling cascades. Conclusions: In concert with the previous work revealing the role of Neu-1 in regulating other glycosylated receptors implicated in cancer cell proliferation and EMT, targeting Neu-1 may provide effective treatment against a variety of malignancies. Most significantly, the treatment of patients with specific inhibitors of Neu-1 soon after primary cancer surgery may improve our ability to cure early-stage cancer by inhibiting the EMT process and disrupting the ability of any residual cancer cell population to metastasize. Full article
(This article belongs to the Special Issue Role of Cytokines in Cancer)
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21 pages, 1679 KB  
Review
Advances in Non-Invasive Screening Methods for Gastrointestinal Cancers: How Continued Innovation Has Revolutionized Early Cancer Detection
by Dushyant Singh Dahiya, Sheza Malik, Ruchir Paladiya, Sidra Ahsan, Haniya Wasim, Hareesha Rishab Bharadwaj, Abhishek Goel, Ali Jaan, Umar Hayat, Fariha Hasan, Sneh Sonaiya and Hassam Ali
Cancers 2025, 17(7), 1085; https://doi.org/10.3390/cancers17071085 - 24 Mar 2025
Cited by 4 | Viewed by 4398
Abstract
The early diagnosis of gastrointestinal cancers is essential for better survival and to reduce the burden of malignancies worldwide [...] Full article
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19 pages, 2212 KB  
Review
IL-10-Directed Cancer Immunotherapy: Preclinical Advances, Clinical Insights, and Future Perspectives
by Adel G. El-Shemi, Afnan Alqurashi, Jihan Abdullah Abdulrahman, Hanin Dhaifallah Alzahrani, Khawlah Saad Almwalad, Hadeel Hisham Felfilan, Wahaj Saud Alomiri, Jana Ahmed Aloufi, Ghadeer Hassn Madkhali, Sarah Adel Maqliyah, Jood Bandar Alshahrani, Huda Taj Kamal, Sawsan Hazim Daghistani, Bassem Refaat and Faisal Minshawi
Cancers 2025, 17(6), 1012; https://doi.org/10.3390/cancers17061012 - 17 Mar 2025
Cited by 4 | Viewed by 5312
Abstract
Interleukin-10 (IL-10) is a dimeric cytokine encoded by the IL-10 gene on chromosome 1 [...] Full article
(This article belongs to the Section Cancer Immunology and Immunotherapy)
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17 pages, 8138 KB  
Article
Deep Learning Models Based on Pretreatment MRI and Clinicopathological Data to Predict Responses to Neoadjuvant Systemic Therapy in Triple-Negative Breast Cancer
by Zhan Xu, Zijian Zhou, Jong Bum Son, Haonan Feng, Beatriz E. Adrada, Tanya W. Moseley, Rosalind P. Candelaria, Mary S. Guirguis, Miral M. Patel, Gary J. Whitman, Jessica W. T. Leung, Huong T. C. Le-Petross, Rania M. Mohamed, Bikash Panthi, Deanna L. Lane, Huiqin Chen, Peng Wei, Debu Tripathy, Jennifer K. Litton, Vicente Valero, Lei Huo, Kelly K. Hunt, Anil Korkut, Alastair Thompson, Wei Yang, Clinton Yam, Gaiane M. Rauch and Jingfei Maadd Show full author list remove Hide full author list
Cancers 2025, 17(6), 966; https://doi.org/10.3390/cancers17060966 - 13 Mar 2025
Cited by 6 | Viewed by 2511
Abstract
Purpose: To develop deep learning models for predicting the pathologic complete response (pCR) to neoadjuvant systemic therapy (NAST) in patients with triple-negative breast cancer (TNBC) based on pretreatment multiparametric breast MRI and clinicopathological data. Methods: The prospective institutional review board-approved study [NCT02276443] included [...] Read more.
Purpose: To develop deep learning models for predicting the pathologic complete response (pCR) to neoadjuvant systemic therapy (NAST) in patients with triple-negative breast cancer (TNBC) based on pretreatment multiparametric breast MRI and clinicopathological data. Methods: The prospective institutional review board-approved study [NCT02276443] included 282 patients with stage I–III TNBC who had multiparametric breast MRI at baseline and underwent NAST and surgery during 2016–2021. Dynamic contrast-enhanced MRI (DCE), diffusion-weighted imaging (DWI), and clinicopathological data were used for the model development and internal testing. Data from the I-SPY 2 trial (2010–2016) were used for external testing. Four variables with a potential impact on model performance were systematically investigated: 3D model frameworks, tumor volume preprocessing, tumor ROI selection, and data inputs. Results: Forty-eight models with different variable combinations were investigated. The best-performing model in the internal testing dataset used DCE, DWI, and clinicopathological data with the originally contoured tumor volume, the tight bounding box of the tumor mask, and ResNeXt50, and achieved an area under the receiver operating characteristic curve (AUC) of 0.76 (95% CI: 0.60–0.88). The best-performing models in the external testing dataset achieved an AUC of 0.72 (95% CI: 0.57–0.84) using only DCE images (originally contoured tumor volume, enlarged bounding box of tumor mask, and ResNeXt50) and an AUC of 0.72 (95% CI: 0.56–0.86) using only DWI images (originally contoured tumor volume, enlarged bounding box of tumor mask, and ResNet18). Conclusions: We developed 3D deep learning models based on pretreatment data that could predict pCR to NAST in TNBC patients. Full article
(This article belongs to the Special Issue Advances in Triple-Negative Breast Cancer)
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16 pages, 3685 KB  
Article
ASPH Is a Metastatic Factor and Therapeutic Target in Chondrosarcoma
by Xiaojuan Sun, Jesse Hart, Ross Taliano, Janine Molino, Joseph H. Schwab, Sjoerd Nota, Katsuya Nagaoka, Songhua Zhang, Mark Olsen, Rolf Carlson, Jack Wands and Richard M. Terek
Cancers 2025, 17(6), 951; https://doi.org/10.3390/cancers17060951 - 12 Mar 2025
Cited by 2 | Viewed by 1575
Abstract
Background: Chondrosarcoma (CS) is a highly aggressive primary malignant bone tumor for which there are no effective systemic treatments. We assessed aspartate β-hydroxylase (ASPH) as a potential treatment target. ASPH is a transforming cell surface receptor, but its role in chondrosarcoma has not [...] Read more.
Background: Chondrosarcoma (CS) is a highly aggressive primary malignant bone tumor for which there are no effective systemic treatments. We assessed aspartate β-hydroxylase (ASPH) as a potential treatment target. ASPH is a transforming cell surface receptor, but its role in chondrosarcoma has not been evaluated. Our goals were to analyze the expression of ASPH in conventional chondrosarcoma, evaluate its utility as a biomarker, and determine if ASPH inhibition diminishes tumor progression in a preclinical model. Methods: An annotated tissue microarray was constructed with conventional chondrosarcoma tissues. ASPH expression was quantified with immunohistochemistry. A small molecule inhibitor (SMI) designed to inhibit ASPH activity was evaluated in two CS cell lines with intact ASPH expression and after knockout. Cell viability, invasion, and matrix metalloproteinase (MMP) expression were measured. A mouse xenograft chondrosarcoma model was used to evaluate the effect of the SMI on tumor growth, MMP activity in tumors, and lung metastatic burden. Results: Higher ASPH scores were associated with a greater risk of death and metastasis. The SMI decreased CS cell proliferation, invasion, and secretion of MMPs in vitro, and the effects were lost after ASPH knockout. In vivo, systemic administration of the SMI decreased tumor growth, MMP activity and content in xenograft tumors, and lung metastatic burden. Conclusions: These data validate ASPH as a biomarker in CS and as a factor in the metastatic phenotype. Systemic treatment with an SMI directed against ASPH inhibits tumor progression in a preclinical model, suggesting that ASPH-targeted therapy may be a new treatment strategy for chondrosarcoma expressing ASPH. Full article
(This article belongs to the Special Issue Molecular Targeted Therapy in Cancer)
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16 pages, 6502 KB  
Article
Perceived Gaps in Oncologic Emergency Care for Patients with Cancer: A Qualitative Comparison of Emergency Medicine and Oncologist Physician Perspectives
by Monica K. Wattana, Moira Davenport, Jason J. Bischof, Angela B. Lindsay, Nicholas R. Pettit, Jazmin R. Menendez, Kelsey Harper, Demis N. Lipe and Aiham Qdaisat
Cancers 2025, 17(5), 828; https://doi.org/10.3390/cancers17050828 - 27 Feb 2025
Cited by 1 | Viewed by 1453
Abstract
Objective: Providing high-quality, safe, and consistent care for patients with cancer in the emergency department (ED) poses unique challenges. To better understand these challenges, we surveyed oncologists and emergency medicine (EM) physicians across five institutions to identify key areas for improvement in oncologic [...] Read more.
Objective: Providing high-quality, safe, and consistent care for patients with cancer in the emergency department (ED) poses unique challenges. To better understand these challenges, we surveyed oncologists and emergency medicine (EM) physicians across five institutions to identify key areas for improvement in oncologic EM. Methods: In this multi-institutional, cross-sectional qualitative study, a semi-structured survey was administered to EM attending and resident physicians and medical and surgical oncologists across five institutions in 2023. We assessed the open-ended questionnaire responses using thematic analysis; codes were created and collated to generate initial themes. The themes were then reviewed according to specialty for coherence and non-repetition and finalized. Results: Of the 302 surveys accessed, 185 (61.3%) had complete responses. Three main domains of issues emerged: systems-based challenges, direct patient care-related issues, and knowledge gaps. The issues most frequently perceived by oncologist survey respondents were long delays in care (41%), variability in care (25%), and communication issues between the EM physician and oncologist (14%). The issues most frequently perceived by EM physician survey respondents were knowledge gaps in cancer therapeutics (40%) and in general oncologic emergencies (23%); physician comfort level (14%); the timing and/or location of initial discussions about goals of care (13%); and challenges with the follow-up process (12%). Conclusions: Incorporating an interdisciplinary approach to patient care in the ED, improved EM oncologic education, and the development of oncologic specialized EDs may enhance the quality, safety, and consistency of care for patients with cancer in the ED. Full article
(This article belongs to the Section Cancer Survivorship and Quality of Life)
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32 pages, 2615 KB  
Review
The Role of the Gut Microbiota in Modulating Signaling Pathways and Oxidative Stress in Glioma Therapies
by Aleksandra Krawczyk, Gabriela Elzbieta Sladowska and Barbara Strzalka-Mrozik
Cancers 2025, 17(5), 719; https://doi.org/10.3390/cancers17050719 - 20 Feb 2025
Cited by 4 | Viewed by 2863
Abstract
Tumors of the central nervous system (CNS), especially gliomas, pose a significant clinical challenge due to their aggressive nature and limited therapeutic options. Emerging research highlights the critical role of the gut microbiota in regulating CNS health and disease. The composition of the [...] Read more.
Tumors of the central nervous system (CNS), especially gliomas, pose a significant clinical challenge due to their aggressive nature and limited therapeutic options. Emerging research highlights the critical role of the gut microbiota in regulating CNS health and disease. The composition of the gut microbiota is essential for maintaining CNS homeostasis, as it modulates immune responses, oxidative status, and neuroinflammation. The microbiota–gut–brain axis, a bidirectional communication network, plays a pivotal role in cancer and CNS disease treatment, exerting its influence through neural, endocrine, immunological, and metabolic pathways. Recent studies suggest that the gut microbiota influences the solidification of the tumor microenvironment and that dysbiosis may promote glioma development by modulating systemic inflammation and oxidative stress, which contributes to tumorigenesis and CNS tumor progression. This review interrogates the impact of the gut microbiota on glioma, focusing on critical pathways such as NF-κB, MAPK, PI3K/Akt/mTOR, and Kynurenine/AhR that drive tumor proliferation, immune evasion, and therapy resistance. Furthermore, we explore emerging therapeutic strategies, including probiotics and microbiota-based interventions, which show potential in modulating these pathways and enhancing immunotherapies such as checkpoint inhibitors. By focusing on the multifaceted interactions between the gut microbiota, oxidative stress, and CNS tumors, this review highlights the potential of microbiota-targeted therapies and their manipulation to complement and enhance current treatments. Full article
(This article belongs to the Section Molecular Cancer Biology)
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15 pages, 735 KB  
Review
Revolutionizing MASLD: How Artificial Intelligence Is Shaping the Future of Liver Care
by Nicola Pugliese, Arianna Bertazzoni, Cesare Hassan, Jörn M. Schattenberg and Alessio Aghemo
Cancers 2025, 17(5), 722; https://doi.org/10.3390/cancers17050722 - 20 Feb 2025
Cited by 5 | Viewed by 2451
Abstract
Metabolic dysfunction-associated steatotic liver disease (MASLD) is emerging as a leading cause of chronic liver disease. In recent years, artificial intelligence (AI) has attracted significant attention in healthcare, particularly in diagnostics, patient management, and drug development, demonstrating immense potential for application and implementation. [...] Read more.
Metabolic dysfunction-associated steatotic liver disease (MASLD) is emerging as a leading cause of chronic liver disease. In recent years, artificial intelligence (AI) has attracted significant attention in healthcare, particularly in diagnostics, patient management, and drug development, demonstrating immense potential for application and implementation. In the field of MASLD, substantial research has explored the application of AI in various areas, including patient counseling, improved patient stratification, enhanced diagnostic accuracy, drug development, and prognosis prediction. However, the integration of AI in hepatology is not without challenges. Key issues include data management and privacy, algorithmic bias, and the risk of AI-generated inaccuracies, commonly referred to as “hallucinations”. This review aims to provide a comprehensive overview of the applications of AI in hepatology, with a focus on MASLD, highlighting both its transformative potential and its inherent limitations. Full article
(This article belongs to the Special Issue The Applications of Artificial Intelligence in Gastroenterology)
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17 pages, 1172 KB  
Systematic Review
Methylation Biomarkers of Lung Cancer Risk: A Systematic Review and Meta-Analysis
by Jacopo Dolcini, Manuela Chiavarini, Giorgio Firmani, Kasey J. M. Brennan, Andres Cardenas, Andrea A. Baccarelli and Pamela Barbadoro
Cancers 2025, 17(4), 690; https://doi.org/10.3390/cancers17040690 - 18 Feb 2025
Cited by 5 | Viewed by 2288
Abstract
Background: Lung cancer (LC) is the leading cause of cancer deaths worldwide among both men and women, and represents a major public health challenge. DNA methylation (DNAm) has shown potential in identifying individuals at higher risk of LC, but the overall evidence [...] Read more.
Background: Lung cancer (LC) is the leading cause of cancer deaths worldwide among both men and women, and represents a major public health challenge. DNA methylation (DNAm) has shown potential in identifying individuals at higher risk of LC, but the overall evidence has not been systematically evaluated. This review and meta-analysis aims to evaluate and summarize existing research on the association between blood DNAm levels and LC risk. Methods: Searches were conducted in PubMed, Web of Science, and Scopus for studies published until February 2024, following PRISMA and MOOSE guidelines. Eleven studies met the eligibility criteria. Results: Using a random effects model, our pooled analysis showed a significant association between increased DNAm levels and LC risk (OR 1.24, 95% CI 1.10–1.39; I2 = 93.90%, p = 0.0001). Stratifying the results by study design showed a stronger association in two prospective cohort studies (OR 1.61; 95% CI 1.36–1.90; I2 = 14.42%, p = 0.32), while case–control studies showed a weaker association (OR 1.05; 95% CI 0.99–1.11; I2 = 70.57%, p = 0.0001). Sensitivity analyses indicated that omitting individual studies did not significantly alter the LC risk estimates. Conclusions: These findings suggest that higher blood DNAm levels are associated with an increased risk of LC, especially in long-term cohort studies. Further research is recommended to explore the potential of DNAm as a screening biomarker for LC and to clarify the role of other influencing factors. Full article
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25 pages, 2664 KB  
Review
Applications of Artificial Intelligence for the Prediction and Diagnosis of Cancer Therapy-Related Cardiac Dysfunction in Oncology Patients
by Isabel G. Scalia, Girish Pathangey, Mahmoud Abdelnabi, Omar H. Ibrahim, Fatmaelzahraa E. Abdelfattah, Milagros Pereyra Pietri, Ramzi Ibrahim, Juan M. Farina, Imon Banerjee, Balaji K. Tamarappoo, Reza Arsanjani and Chadi Ayoub
Cancers 2025, 17(4), 605; https://doi.org/10.3390/cancers17040605 - 11 Feb 2025
Cited by 3 | Viewed by 2739
Abstract
Cardiovascular diseases and cancer are the leading causes of morbidity and mortality in modern society. Expanding cancer therapies that have improved prognosis may also be associated with cardiotoxicity, and extended life span after survivorship is associated with the increasing prevalence of cardiovascular disease. [...] Read more.
Cardiovascular diseases and cancer are the leading causes of morbidity and mortality in modern society. Expanding cancer therapies that have improved prognosis may also be associated with cardiotoxicity, and extended life span after survivorship is associated with the increasing prevalence of cardiovascular disease. As such, the field of cardio-oncology has been rapidly expanding, with an aim to identify cardiotoxicity and cardiac disease early in a patient who is receiving treatment for cancer or is in survivorship. Artificial intelligence is revolutionizing modern medicine with its ability to identify cardiac disease early. This article comprehensively reviews applications of artificial intelligence specifically applied to electrocardiograms, echocardiography, cardiac magnetic resonance imaging, and nuclear imaging to predict cardiac toxicity in the setting of cancer therapies, with a view to reduce early complications and cardiac side effects from cancer therapies such as chemotherapy, radiation therapy, or immunotherapy. Full article
(This article belongs to the Section Cancer Causes, Screening and Diagnosis)
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19 pages, 1624 KB  
Article
A New Blood-Based Epigenetic Diagnostic Biomarker Test (EpiSwitch®® NST) with High Sensitivity and Positive Predictive Value for Colorectal Cancer and Precancerous Polyps
by Ewan Hunter, Heba Alshaker, Cicely Weston, Mutaz Issa, Shekinah Bautista, Abel Gebregzabhar, Anya Virdi, Ann Dring, Ryan Powell, Jayne Green, Roshan Lal, Vamsi Velchuru, Kamal Aryal, Muhammad Radzi Bin Abu Hassan, Goh Tiong Meng, Janisha Suriakant Patel, Shameera Pharveen Mohamed Gani, Chun Ren Lim, Thomas Guiel, Alexandre Akoulitchev and Dmitri Pchejetskiadd Show full author list remove Hide full author list
Cancers 2025, 17(3), 521; https://doi.org/10.3390/cancers17030521 - 4 Feb 2025
Cited by 3 | Viewed by 2949
Abstract
Background/Objectives: Colorectal cancer (CRC) arises from the epithelial lining of the colon or rectum, often following a progression from benign adenomatous polyps to malignant carcinoma. Screening modalities such as colonoscopy, faecal immunochemical tests (FIT), and FIT-DNA are critical for early detection and prevention, [...] Read more.
Background/Objectives: Colorectal cancer (CRC) arises from the epithelial lining of the colon or rectum, often following a progression from benign adenomatous polyps to malignant carcinoma. Screening modalities such as colonoscopy, faecal immunochemical tests (FIT), and FIT-DNA are critical for early detection and prevention, but non-invasive methods lack sensitivity to polyps and early CRC. Chromosome conformations (CCs) are potent epigenetic regulators of gene expression. We have previously developed an epigenetic assay, EpiSwitch®®, that employs an algorithmic-based CCs analysis. Using EpiSwitch®® technology, we have shown the presence of cancer-specific CCs in peripheral blood mononuclear cells (PBMCs) and primary tumours of patients with melanoma and prostate cancer. EpiSwitch®®-based commercial tests are now available to diagnose prostate cancer with 94% accuracy (PSE test) and response to immune checkpoint inhibitors across 14 cancers with 85% accuracy (CiRT test). Methods/Results/Conclusions: Using blood samples collected from n = 171 patients with CRC, n = 44 patients with colorectal polyps and n = 110 patients with a ‘clear’ colonoscopy we performed whole Genome DNA screening for CCs correlating to CRC diagnosis. Our findings suggest the presence of two eight-marker CC signatures (EpiSwitch®® NST) in whole blood that allow diagnosis of CRC and precancerous polyps, respectively. Independent validation cohort testing demonstrated high accuracy in identifying colorectal polyps and early versus late stages of CRC with an exceptionally high sensitivity of 79–90% and a high positive prediction value of 60–84%. Linking the top diagnostic CCs to nearby genes, we have built pathways maps that likely underline processes contributing to the pathology of polyp and CRC progression, including TGFβ, cMYC, Rho GTPase, ROS, TNFa/NFκB, and APC. Full article
(This article belongs to the Special Issue New Biomarkers in Cancers 2nd Edition)
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15 pages, 566 KB  
Article
The Impact of Preoperative Radiotherapy and Chemotherapy on Autologous Breast Reconstruction Outcomes—A Retrospective Single-Center Study
by Caterina M. Nava, Jérôme Martineau, Edward T. C. Dong, Gauthier Zinner and Carlo M. Oranges
Cancers 2025, 17(3), 512; https://doi.org/10.3390/cancers17030512 - 4 Feb 2025
Cited by 3 | Viewed by 1634
Abstract
Background: While radiotherapy (RT) and chemotherapy (CT) significantly improve breast cancer outcomes, they may affect breast reconstruction by causing vascular damage and delayed wound healing. This retrospective study evaluates how preoperative RT, CT, or the combination of both impacts intraoperative and postoperative outcomes [...] Read more.
Background: While radiotherapy (RT) and chemotherapy (CT) significantly improve breast cancer outcomes, they may affect breast reconstruction by causing vascular damage and delayed wound healing. This retrospective study evaluates how preoperative RT, CT, or the combination of both impacts intraoperative and postoperative outcomes in immediate or delayed deep inferior epigastric perforator (DIEP) flap breast reconstructions. Methods: We conducted a single-center review of all patients undergoing autologous DIEP flap reconstruction after mastectomy between 2018 and 2024. Patients were divided into four groups: RT only, CT only, a combination of RT and CT, and a control group with no preoperative therapies. Intraoperative and postoperative outcomes were then compared among these groups, with statistical significance defined as p < 0.05. Results: We included 114 patients representing 141 DIEP-flap breast reconstructions. Flap survival rate was 98.5%. In the univariate analysis, total microvascular recipient site complications were significantly higher in the RT + CT group (14.0%, p = 0.021). Donor-site complication rates differed significantly among the four groups (p = 0.025), with the highest rate observed in the RT + CT group (44.7%). In the logistic regression analysis, ischemia time was found as an independent risk factor for total recipient site complications, but not for microvascular complications (OR = 1.019, 95%-CI = 1.004–1.035, p = 0.014). Conclusions: Combined RT + CT significantly increased microsurgical complications. Ischemia time correlated with higher odds of total recipient site complications. Individualized patient management and diminished ischemia time are likely to improve flap survival. Full article
(This article belongs to the Section Clinical Research of Cancer)
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21 pages, 4327 KB  
Article
Interval Analysis-Based Optimization: A Robust Model for Intensity-Modulated Radiotherapy (IMRT)
by Andrés Camilo Sevilla-Moreno, María Eugenia Puerta-Yepes, Niklas Wahl, Rafael Benito-Herce and Gonzalo Cabal-Arango
Cancers 2025, 17(3), 504; https://doi.org/10.3390/cancers17030504 - 3 Feb 2025
Cited by 1 | Viewed by 2092
Abstract
Background: Cancer remains one of the leading causes of mortality worldwide, with radiotherapy playing a crucial role in its treatment. Intensity-modulated radiotherapy (IMRT) enables precise dose delivery to tumors while sparing healthy tissues. However, geometric uncertainties such as patient positioning errors and [...] Read more.
Background: Cancer remains one of the leading causes of mortality worldwide, with radiotherapy playing a crucial role in its treatment. Intensity-modulated radiotherapy (IMRT) enables precise dose delivery to tumors while sparing healthy tissues. However, geometric uncertainties such as patient positioning errors and anatomical deformations can compromise treatment accuracy. Traditional methods use safety margins, which may lead to excessive irradiation of healthy organs or insufficient tumor coverage. Robust optimization techniques, such as minimax approaches, attempt to address these uncertainties but can result in overly conservative treatment plans. This study introduces an interval analysis-based optimization model for IMRT, offering a more flexible approach to uncertainty management. Methods: The proposed model represents geometric uncertainties using interval dose influence matrices and incorporates Bertoluzza’s metric to balance tumor coverage and organ-at-risk (OAR) protection. The θ parameter allows controlled robustness modulation. The model was implemented in matRad, an open-source treatment planning system, and evaluated on five prostate cancer cases. Results were compared against traditional Planning Target Volume (PTV) and minimax robust optimization approaches. Results: The interval-based model improved tumor coverage by 5.8% while reducing bladder dose by 4.2% compared to PTV. In contrast, minimax robust optimization improved tumor coverage by 25.8% but increased bladder dose by 23.2%. The interval-based approach provided a better balance between tumor coverage and OAR protection, demonstrating its potential to enhance treatment effectiveness without excessive conservatism. Conclusions: This study presents a novel framework for IMRT planning that improves uncertainty management through interval analysis. By allowing adjustable robustness modulation, the proposed model enables more personalized and clinically adaptable treatment plans. These findings highlight the potential of interval analysis as a powerful tool for optimizing radiotherapy outcomes, balancing treatment efficacy and patient safety. Full article
(This article belongs to the Special Issue The Future of Radiation Research in Cancers, 2nd Edition)
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30 pages, 1104 KB  
Review
Heterogeneity in Cancer
by William J. MacDonald, Connor Purcell, Maximilian Pinho-Schwermann, Nolan M. Stubbs, Praveen R. Srinivasan and Wafik S. El-Deiry
Cancers 2025, 17(3), 441; https://doi.org/10.3390/cancers17030441 - 28 Jan 2025
Cited by 11 | Viewed by 7956
Abstract
Cancer heterogeneity is a major challenge in oncology, complicating diagnosis, prognostication, and treatment. The clinical heterogeneity of cancer, which leads to differential treatment outcomes between patients with histopathologically similar cancers, is attributable to molecular diversity manifesting through genetic, epigenetic, transcriptomic, microenvironmental, and host [...] Read more.
Cancer heterogeneity is a major challenge in oncology, complicating diagnosis, prognostication, and treatment. The clinical heterogeneity of cancer, which leads to differential treatment outcomes between patients with histopathologically similar cancers, is attributable to molecular diversity manifesting through genetic, epigenetic, transcriptomic, microenvironmental, and host biology differences. Heterogeneity is observed between patients, individual metastases, and within individual lesions. This review discusses clinical implications of heterogeneity, emphasizing need for personalized approaches to overcome challenges posed by cancer’s diverse presentations. Understanding of emerging molecular diagnostic and analytical techniques can provide a view into the multidimensional complexity of cancer heterogeneity. With over 90% of cancer-related deaths associated with metastasis, we additionally explore the role heterogeneity plays in treatment resistance and recurrence of metastatic lesions. Molecular insights from next-generation sequencing, single-cell transcriptomics, liquid biopsy technology, and artificial intelligence will facilitate the development of combination therapy regimens that can potentially induce lasting and even curative treatment outcomes. Full article
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17 pages, 3414 KB  
Article
TLR2-Bound Cancer-Secreted Hsp70 Induces MerTK-Mediated Immunosuppression and Tumorigenesis in Solid Tumors
by Ahmet Kaynak, Subrahmanya D. Vallabhapurapu, Harold W. Davis, Eric P. Smith, Petr Muller, Borek Vojtesek, Robert S. Franco, Wen-Hai Shao and Xiaoyang Qi
Cancers 2025, 17(3), 450; https://doi.org/10.3390/cancers17030450 - 28 Jan 2025
Cited by 4 | Viewed by 2139
Abstract
Background: A hallmark of cancer is the presence of an immunosuppressive tumor microenvironment (TME). Immunosuppressive M2 macrophages (MΦs) in the TME facilitate escape from immune surveillance and promote tumor growth; therefore, TME-induced immunosuppression is a potent immunotherapeutic approach to treating cancer. Methods [...] Read more.
Background: A hallmark of cancer is the presence of an immunosuppressive tumor microenvironment (TME). Immunosuppressive M2 macrophages (MΦs) in the TME facilitate escape from immune surveillance and promote tumor growth; therefore, TME-induced immunosuppression is a potent immunotherapeutic approach to treating cancer. Methods: Cancer cell-secreted proteins were detected by using liquid chromatography–mass spectrometry (LC-MS). Neutralizing antibodies (nAbs) were used to assess which proteins were involved in MΦs polarization and differentiation. The protein–protein interaction was characterized using co-immunoprecipitation and immunofluorescence assays. Cancer-secreted heat shock protein 70 (Hsp70) protein was quantified using an enzyme-linked immunosorbent assay (ELISA). MΦ polarization and tumor growth were assessed in vivo with subcutaneous LLC-GFP tumor models and toll-like receptor 2 (TLR2) knockout mice; in vitro assessments were conducted using TLR2 knockout and both LLC-GFP and LN227 lentiviral-mediated knockdown (KD) cells. Results: Cancer cells released a secreted form of Hsp70 that acted on MΦ TLR2 to upregulate Mer receptor tyrosine kinase (MerTK) and induce MΦ M2 polarization. Hsp70 nAbs led to a reduction in CD14 expression by 75% in THP-1 cells in response to Gli36 EMD-CM. In addition, neutralizing TLR2 nAbs resulted in a 30% and 50% reduction in CD14 expression on THP-1 cells in response to MiaPaCa-2 and Gli36 exosome/microparticle-depleted conditioned media (EMD-CMs), respectively. Hsp70, TLR2, and MerTK formed a protein complex. Tumor growth and intra-tumor M2 MΦs were significantly reduced upon cancer cell Hsp70 knockdown and in TLR2 knockout mice. Conclusions: Cancer-secreted Hsp70 interacts with TLR2, upregulates MerTK on MΦs, and induces immunosuppressive MΦ M2 polarization. This previously unreported action of secreted Hsp70 suggests that disrupting the Hsp70-TLR2-MerTK interaction could serve as a promising immunotherapeutic approach to mitigate TME immunosuppression in solid cancers. Full article
(This article belongs to the Special Issue Heat Shock Proteins in Cancers)
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34 pages, 1418 KB  
Review
Advances in the Repurposing and Blood–Brain Barrier Penetrance of Drugs in Pediatric Brain Tumors
by Julian S. Rechberger, Stephanie A. Toll, Subhasree Biswas, Hyo Bin You, William D. Chow, Nicholas Kendall, Pournima Navalkele and Soumen Khatua
Cancers 2025, 17(3), 439; https://doi.org/10.3390/cancers17030439 - 27 Jan 2025
Cited by 3 | Viewed by 5182
Abstract
Central nervous system (CNS) tumors are the leading cause of cancer-related mortality in children, with prognosis remaining dismal for some of these malignancies. Though the past two decades have seen advancements in surgery, radiation, and targeted therapy, major unresolved hurdles continue to undermine [...] Read more.
Central nervous system (CNS) tumors are the leading cause of cancer-related mortality in children, with prognosis remaining dismal for some of these malignancies. Though the past two decades have seen advancements in surgery, radiation, and targeted therapy, major unresolved hurdles continue to undermine the therapeutic efficacy. These include challenges in suboptimal drug delivery through the blood–brain barrier (BBB), marked intra-tumoral molecular heterogeneity, and the elusive tumor microenvironment. Drug repurposing or re-tasking FDA-approved drugs with evidence of penetration into the CNS, using newer methods of intracranial drug delivery facilitating optimal drug exposure, has been an area of intense research. This could be a valuable tool, as most of these agents have already gone through the lengthy process of drug development and the evaluation of safety risks and the optimal pharmacokinetic profile. They can now be used and tested in clinics with an accelerated and different approach. Conclusions: The next-generation therapeutic strategy should prioritize repurposing oncologic and non-oncologic drugs that have been used for other indication, and have demonstrated robust preclinical activity against pediatric brain tumors. In combination with novel drug delivery techniques, these drugs could hold significant therapeutic promise in pediatric neurooncology. Full article
(This article belongs to the Special Issue Advances in Drug Repurposing to Overcome Cancers)
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20 pages, 2817 KB  
Systematic Review
Fluorescence-Guided Surgery to Detect Microscopic Disease in Ovarian Cancer: A Systematic Review with Meta-Analysis
by Evrim Erdemoglu, Carrie L. Langstraat, Amanika Kumar, Stuart A. Ostby, Marlene E. Girardo, Andrea Giannini and Kristina A. Butler
Cancers 2025, 17(3), 410; https://doi.org/10.3390/cancers17030410 - 26 Jan 2025
Cited by 1 | Viewed by 2274
Abstract
Background: The objective in epithelial ovarian cancer is to reach maximal cytoreduction with no visible residual tumor. Tumor detection during cytoreductive surgery depends on visual inspection, palpation, or blind biopsy, methods that lack reliability for identifying microscopic disease. Although the importance of [...] Read more.
Background: The objective in epithelial ovarian cancer is to reach maximal cytoreduction with no visible residual tumor. Tumor detection during cytoreductive surgery depends on visual inspection, palpation, or blind biopsy, methods that lack reliability for identifying microscopic disease. Although the importance of microscopic disease in epithelial ovarian cancer is controversial, it may harbor chemoresistant cells and explain the high recurrence rates. Fluorescence-guided surgery (FGS) is an emerging approach. However, the potential in ovarian cancer remains underexplored; the majority of the existing evidence pertains to gastrointestinal tumors and a limited group of ovarian cancer patients. Their comparative effectiveness is still uncertain. Objective: To systematically review and evaluate the role of fluorescence-guided surgical techniques in detecting microscopic disease in ovarian cancer and compare their efficacy to total peritonectomy. Data Sources: A systematic search was made in three databases (PubMed, Web of Science, and Embase). The search was conducted from 1975 to 2024, including randomized controlled trials, observational studies, and conference abstracts in the last 25 years. Study Selection: Clinical studies published in English involving ovarian cancer patients undergoing FGS or total peritonectomy were included. Case reports, reviews, animal studies, and studies involving mixed cancer populations without ovarian cancer-specific data were excluded. Two independent reviewers screened 631 studies, yielding 12 eligible studies for final analysis. Data Extraction and Synthesis: Data were extracted and synthesized in accordance with PRISMA and MOOSE guidelines, using random-effects models for independent analysis. Sensitivity, specificity, positive predictive value (PPV), and odds ratios (ORs) were grouped, accompanied by subgroup analyses based on the fluorescence agent employed. For quality assessment, we utilized the NIH quality tool. Main Outcome(s) and Measure(s): The primary outcome was the rate of change in surgical management due to fluorescence guidance or total peritonectomy. Secondary outcomes comprised lesion-level sensitivity, specificity, and PPV. Safety outcomes included adverse events associated with fluorescence agents. Results: There were 12 studies involving 429 ovarian cancer patients. FGS improved the detection of microscopic disease compared to standard visualization methods, with a pooled sensitivity of 0.77. Folate receptor-targeted agents had high sensitivity (84%) but low specificity (26%). Aminolevulinic acid (5-ALA) showed superior diagnostic accuracy with a sensitivity of 84% and a specificity of 96%. Total peritonectomy showed no significant advantage over FGS for detecting microscopic disease. The adverse events were mild, with no serious events reported. We observed a high heterogeneity across studies and methodologies. Conclusions and Relevance: Fluorescence-guided surgery utilizing fluorescence tracers demonstrates potential in improving the detection of microscopic disease and may change surgical management in epithelial ovarian cancer, particularly with 5-ALA. Variability in performance and limited data on survival outcomes necessitates additional research. Total peritonectomy does not offer further advantage in the detection of microscopic disease. Future trials should focus on standardizing methodology and evaluating the effects of microscopic disease removal on survival outcomes. Registration: The study was registered to PROSPERO as CRD42024578274. Full article
(This article belongs to the Special Issue Paradigm Shifts in Gynaecological Oncology Surgery)
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21 pages, 1715 KB  
Review
Exploring Artificial Intelligence Biases in Predictive Models for Cancer Diagnosis
by Aref Smiley, C. Mahony Reategui-Rivera, David Villarreal-Zegarra, Stefan Escobar-Agreda and Joseph Finkelstein
Cancers 2025, 17(3), 407; https://doi.org/10.3390/cancers17030407 - 26 Jan 2025
Cited by 16 | Viewed by 2779
Abstract
The American Society of Clinical Oncology (ASCO) has released the principles for the responsible use of artificial intelligence (AI) in oncology emphasizing fairness, accountability, oversight, equity, and transparency. However, the extent to which these principles are followed is unknown. The goal of this [...] Read more.
The American Society of Clinical Oncology (ASCO) has released the principles for the responsible use of artificial intelligence (AI) in oncology emphasizing fairness, accountability, oversight, equity, and transparency. However, the extent to which these principles are followed is unknown. The goal of this study was to assess the presence of biases and the quality of studies on AI models according to the ASCO principles and examine their potential impact through citation analysis and subsequent research applications. A review of original research articles centered on the evaluation of predictive models for cancer diagnosis published in the ASCO journal dedicated to informatics and data science in clinical oncology was conducted. Seventeen potential bias criteria were used to evaluate the sources of bias in the studies, aligned with the ASCO’s principles for responsible AI use in oncology. The CREMLS checklist was applied to assess the study quality, focusing on the reporting standards, and the performance metrics along with citation counts of the included studies were analyzed. Nine studies were included. The most common biases were environmental and life-course bias, contextual bias, provider expertise bias, and implicit bias. Among the ASCO principles, the least adhered to were transparency, oversight and privacy, and human-centered AI application. Only 22% of the studies provided access to their data. The CREMLS checklist revealed the deficiencies in methodology and evaluation reporting. Most studies reported performance metrics within moderate to high ranges. Additionally, two studies were replicated in the subsequent research. In conclusion, most studies exhibited various types of bias, reporting deficiencies, and failure to adhere to the principles for responsible AI use in oncology, limiting their applicability and reproducibility. Greater transparency, data accessibility, and compliance with international guidelines are recommended to improve the reliability of AI-based research in oncology. Full article
(This article belongs to the Section Methods and Technologies Development)
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38 pages, 2883 KB  
Review
Hepatic Iron Overload and Hepatocellular Carcinoma: New Insights into Pathophysiological Mechanisms and Therapeutic Approaches
by Elena Chatzikalil, Konstantinos Arvanitakis, Georgios Kalopitas, Matilda Florentin, Georgios Germanidis, Theocharis Koufakis and Elena E. Solomou
Cancers 2025, 17(3), 392; https://doi.org/10.3390/cancers17030392 - 24 Jan 2025
Cited by 6 | Viewed by 4498
Abstract
Hepatocellular carcinoma (HCC), the most common form of primary liver cancer, is rising in global incidence and mortality. Metabolic dysfunction-associated steatotic liver disease (MASLD), one of the leading causes of chronic liver disease, is strongly linked to metabolic conditions that can progress to [...] Read more.
Hepatocellular carcinoma (HCC), the most common form of primary liver cancer, is rising in global incidence and mortality. Metabolic dysfunction-associated steatotic liver disease (MASLD), one of the leading causes of chronic liver disease, is strongly linked to metabolic conditions that can progress to liver cirrhosis and HCC. Iron overload (IO), whether inherited or acquired, results in abnormal iron hepatic deposition, significantly impacting MASLD development and progression to HCC. While the pathophysiological connections between hepatic IO, MASLD, and HCC are not fully understood, dysregulation of glucose and lipid metabolism and IO-induced oxidative stress are being investigated as the primary drivers. Genomic analyses of inherited IO conditions reveal inconsistencies in the association of certain mutations with liver malignancies. Moreover, hepatic IO is also associated with hepcidin dysregulation and activation of ferroptosis, representing promising targets for HCC risk assessment and therapeutic intervention. Understanding the relationship between hepatic IO, MASLD, and HCC is essential for advancing clinical strategies against liver disease progression, particularly with recent IO-targeted therapies showing potential at improving liver biochemistry and insulin sensitivity. In this review, we summarize the current evidence on the pathophysiological association between hepatic IO and the progression of MASLD to HCC, underscoring the importance of early diagnosis, risk stratification, and targeted treatment for these interconnected conditions. Full article
(This article belongs to the Special Issue Advanced Research in Oncology in 2024)
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15 pages, 1392 KB  
Review
Unraveling the Role of Fusobacterium nucleatum in Colorectal Cancer: Molecular Mechanisms and Pathogenic Insights
by Linda Galasso, Fabrizio Termite, Irene Mignini, Giorgio Esposto, Raffaele Borriello, Federica Vitale, Alberto Nicoletti, Mattia Paratore, Maria Elena Ainora, Antonio Gasbarrini and Maria Assunta Zocco
Cancers 2025, 17(3), 368; https://doi.org/10.3390/cancers17030368 - 23 Jan 2025
Cited by 26 | Viewed by 8391
Abstract
Fusobacterium nucleatum, a gram-negative anaerobic bacterium, has emerged as a significant player in colorectal cancer (CRC) pathogenesis. The bacterium causes a persistent inflammatory reaction in the colorectal mucosa by stimulating the release of pro-inflammatory cytokines like IL-1β, IL-6, and TNF-α, creating an [...] Read more.
Fusobacterium nucleatum, a gram-negative anaerobic bacterium, has emerged as a significant player in colorectal cancer (CRC) pathogenesis. The bacterium causes a persistent inflammatory reaction in the colorectal mucosa by stimulating the release of pro-inflammatory cytokines like IL-1β, IL-6, and TNF-α, creating an environment conducive to cancer progression. F. nucleatum binds to and penetrates epithelial cells through adhesins such as FadA, impairing cell junctions and encouraging epithelial-to-mesenchymal transition (EMT), which is associated with cancer advancement. Additionally, the bacterium modulates the host immune system, suppressing immune cell activity and creating conditions favorable for tumor growth. Its interactions with the gut microbiome contribute to dysbiosis, further influencing carcinogenic pathways. Evidence indicates that F. nucleatum can inflict DNA damage either directly via reactive oxygen species or indirectly by creating a pro-inflammatory environment. Additionally, it triggers oncogenic pathways, especially the Wnt/β-catenin signaling pathway, which promotes tumor cell growth and longevity. Moreover, F. nucleatum alters the tumor microenvironment, impacting cancer cell behavior, metastasis, and therapeutic responses. The purpose of this review is to elucidate the molecular mechanisms by which F. nucleatum contributes to CRC. Understanding these mechanisms is crucial for the development of targeted therapies and diagnostic strategies for CRC associated with F. nucleatum. Full article
(This article belongs to the Special Issue Novel Approaches and Advances in Interventional Oncology)
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12 pages, 1306 KB  
Article
Comprehensive Molecular Profiling of Metastatic Pancreatic Adenocarcinomas
by Vijay Antony, Tong Sun, Darin Dolezal and Guoping Cai
Cancers 2025, 17(3), 335; https://doi.org/10.3390/cancers17030335 - 21 Jan 2025
Cited by 1 | Viewed by 2084
Abstract
Background: Pancreatic ductal adenocarcinoma (PDAC) is often diagnosed late, with an extremely poor prognosis. Treatment options like surgery, radiation, and chemotherapy are rarely curative. Tumor progression from primary to metastatic PDAC remains poorly understood at the molecular level. Methods: In the current study, [...] Read more.
Background: Pancreatic ductal adenocarcinoma (PDAC) is often diagnosed late, with an extremely poor prognosis. Treatment options like surgery, radiation, and chemotherapy are rarely curative. Tumor progression from primary to metastatic PDAC remains poorly understood at the molecular level. Methods: In the current study, we analyzed the molecular profiles of metastatic PDAC obtained via the Oncomine Comprehensive Assay in comparison to primary PDAC. Results: The current study cohort consisted of 115 metastatic PDAC cases, of which 71 (62%) cases succeeded in molecular testing while the remaining 44 (38%) cases contained insufficient tumor cells. Molecular profiling of 71 cases revealed a total of 239 molecular alterations, 3.4 alterations per case on average, predominantly in the form of gene mutations. The most common gene mutations included KRAS (86%) and TP53 (83%) mutations. Gene copy number alterations were also detected in 19 (27%) cases involving genes such as CCNE1 and ERBB2. Compared to the molecular profiles of primary PDAC reported in our prior study and TCGA database, there seemed to be increased rates of TP53, ARID1A, BRAF, and PIK3CA mutations in the metastatic diseases. Conclusions: These findings suggest that metastatic PDAC possesses unique genetic characteristics, offering potential therapeutic targets in advanced-stage pancreatic cancer. Full article
(This article belongs to the Special Issue Histology and Pathology of Pancreatic Cancer)
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37 pages, 2321 KB  
Review
Triple-Negative Breast Cancer Progression and Drug Resistance in the Context of Epithelial–Mesenchymal Transition
by Ewa Błaszczak, Paulina Miziak, Adrian Odrzywolski, Marzena Baran, Ewelina Gumbarewicz and Andrzej Stepulak
Cancers 2025, 17(2), 228; https://doi.org/10.3390/cancers17020228 - 12 Jan 2025
Cited by 19 | Viewed by 8399
Abstract
Triple-negative breast cancer (TNBC) is one of the most difficult subtypes of breast cancer to treat due to its distinct clinical and molecular characteristics. Patients with TNBC face a high recurrence rate, an increased risk of metastasis, and lower overall survival compared to [...] Read more.
Triple-negative breast cancer (TNBC) is one of the most difficult subtypes of breast cancer to treat due to its distinct clinical and molecular characteristics. Patients with TNBC face a high recurrence rate, an increased risk of metastasis, and lower overall survival compared to other breast cancer subtypes. Despite advancements in targeted therapies, traditional chemotherapy (primarily using platinum compounds and taxanes) continues to be the standard treatment for TNBC, often with limited long-term efficacy. TNBC tumors are heterogeneous, displaying a diverse mutation profile and considerable chromosomal instability, which complicates therapeutic interventions. The development of chemoresistance in TNBC is frequently associated with the process of epithelial–mesenchymal transition (EMT), during which epithelial tumor cells acquire a mesenchymal-like phenotype. This shift enhances metastatic potential, while simultaneously reducing the effectiveness of standard chemotherapeutics. It has also been suggested that EMT plays a central role in the development of cancer stem cells. Hence, there is growing interest in exploring small-molecule inhibitors that target the EMT process as a future strategy for overcoming resistance and improving outcomes for patients with TNBC. This review focuses on the progression and drug resistance of TNBC with an emphasis on the role of EMT in these processes. We present TNBC-specific and EMT-related molecular features, key EMT protein markers, and various signaling pathways involved. We also discuss other important mechanisms and factors related to chemoresistance in TNBC within the context of EMT, highlighting treatment advancements to improve patients’ outcomes. Full article
(This article belongs to the Special Issue Triple Negative Breast Cancer Therapy Resistance and Metastasis)
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24 pages, 13647 KB  
Article
Blockade of LIF and PD-L1 Enhances Chemotherapy in Preclinical PDAC Models
by Jian Ye, Shuyang S. Qin, Angela L. Hughson, Gary Hannon, Tara G. Vrooman, Maggie L. Lesch, Sarah L. Eckl, Lauren Benoodt, Bradley N. Mills, Edith M. Lord, Brian A. Belt, David C. Linehan, Nadia Luheshi, Jim Eyles and Scott A. Gerber
Cancers 2025, 17(2), 204; https://doi.org/10.3390/cancers17020204 - 9 Jan 2025
Cited by 1 | Viewed by 2274
Abstract
Background/Objectives: Pancreatic ductal adenocarcinoma (PDAC), expecting to be the second leading cause of cancer deaths by 2030, resists immune checkpoint therapies due to its immunosuppressive tumor microenvironment (TME). Leukemia inhibitory factor (LIF) is a key target in PDAC, promoting stemness, epithelial–mesenchymal transition [...] Read more.
Background/Objectives: Pancreatic ductal adenocarcinoma (PDAC), expecting to be the second leading cause of cancer deaths by 2030, resists immune checkpoint therapies due to its immunosuppressive tumor microenvironment (TME). Leukemia inhibitory factor (LIF) is a key target in PDAC, promoting stemness, epithelial–mesenchymal transition (EMT), and therapy resistance. Phase 1 clinical trials showed anti-LIF therapy is safe but with limited efficacy, suggesting better outcomes when combined with chemotherapy, radiotherapy, or immunotherapy. Methods: We assessed the combination of chemotherapy (gemcitabine/nab-paclitaxel) and dual blockade of LIF and PD-L1 on tumor growth and survival in orthotopic and spontaneous PDAC models. Flow cytometry and scRNA-seq were utilized to monitor the antitumor immune response. The role of key immune cells was further confirmed by depleting these immune cells, including CD4, CD8, or inflammatory monocytes. Results: Sequential treatment with chemotherapy (gemcitabine/nab-paclitaxel) and dual blockade of LIF and PD-L1 significantly improved antitumor efficacy compared to monotherapy or dual combinations of these therapies. This chemo/anti-LIF/anti-PD-L1 approach reduced EMT in tumor cells and enhanced the antitumor immune response, primarily through CD8 T cells, as depleting CD8 cells largely abrogated the effect of treatment. This combination therapy also shifted macrophages and dendritic cells towards an antitumor phenotype. Conclusions: The combination of chemotherapy, anti-LIF, and anti-PD-L1 not only targeted tumor cells but also augmented the anti-tumor immune response. These findings strongly support advancing chemo/anti-LIF/anti-PD-L1 combination therapy to clinical trials in PDAC. Full article
(This article belongs to the Section Cancer Immunology and Immunotherapy)
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29 pages, 1367 KB  
Review
Current Paradigm and Future Directions in the Management of Nodal Disease in Locally Advanced Cervical Cancer
by Elki Sze-Nga Cheung and Philip Yuguang Wu
Cancers 2025, 17(2), 202; https://doi.org/10.3390/cancers17020202 - 9 Jan 2025
Cited by 3 | Viewed by 2586
Abstract
Approximately 36% of patients with cervical cancer present with regional nodal metastasis at diagnosis, which is associated with adverse survival outcomes after definitive treatment. In the modern era of chemoradiotherapy (CRT) and image-guided adaptive brachytherapy (IGABT), where excellent local control is achieved for [...] Read more.
Approximately 36% of patients with cervical cancer present with regional nodal metastasis at diagnosis, which is associated with adverse survival outcomes after definitive treatment. In the modern era of chemoradiotherapy (CRT) and image-guided adaptive brachytherapy (IGABT), where excellent local control is achieved for patients with locally advanced cervical cancer (LACC), nodal failure remains a major challenge to cure. To optimize treatment outcomes for node-positive LACC and reduce the incidence of nodal failure, various treatment approaches have been explored, including methods of surgical nodal staging or dissection, RT dose escalation strategies, such as intensity-modulated radiotherapy (IMRT) with simultaneous integrated boost (SIB) to involved nodes, and elective treatment of subclinical para-aortic (PAO) disease. Additionally, there is growing interest in emerging precision RT techniques, such as magnetic resonance-guided radiotherapy (MRgRT) and proton therapy, which may allow for further improvement in the therapeutic ratio. This review outlines the various methods of detection of nodal metastasis, treatment options for node-positive LACC, techniques of nodal radiotherapy and their clinical evidence in efficacy and toxicity profiles. Furthermore, recent advances in systemic therapy and promising novel therapeutic directions that may shape the management of node-positive LACC are discussed. Full article
(This article belongs to the Special Issue Advanced Research in Oncology in 2024)
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32 pages, 382 KB  
Review
Management of Patients with Vulvar Cancers: A Systematic Comparison of International Guidelines (NCCN–ASCO–ESGO–BGCS–IGCS–FIGO–French Guidelines–RCOG)
by Stefano Restaino, Giulia Pellecchia, Martina Arcieri, Giorgio Bogani, Cristina Taliento, Pantaleo Greco, Lorenza Driul, Vito Chiantera, Rosa Pasqualina De Vincenzo, Giorgia Garganese, Francesco Sopracordevole, Violante Di Donato, Andrea Ciavattini, Paolo Scollo, Giovanni Scambia, Giuseppe Vizzielli and Gynecologic Oncology Group
Cancers 2025, 17(2), 186; https://doi.org/10.3390/cancers17020186 - 8 Jan 2025
Cited by 12 | Viewed by 8694
Abstract
Background: Vulvar carcinoma is an uncommon gynecological tumor primarily affecting older women. Its treatment significantly impacts the quality of life and, not least, aesthetics because of the mutilating surgery it requires. Objectives: The management requires a multidisciplinary team of specialists who know how [...] Read more.
Background: Vulvar carcinoma is an uncommon gynecological tumor primarily affecting older women. Its treatment significantly impacts the quality of life and, not least, aesthetics because of the mutilating surgery it requires. Objectives: The management requires a multidisciplinary team of specialists who know how to care for the patient in her entirety, not neglecting psychological aspects and reconstructive surgery. How do the guidelines address multidisciplinarity, team surgical management, passing through preoperative diagnosis, and follow-up in such a challenging rare tumor to treat? Methods: To answer these questions, we compared the main scientific recommendations to identify similarities and differences in diagnostic and therapeutic management to provide an overview of the gaps that there are currently in European and American international recommendations in providing management guidance in a cancer that is both among the rarest and most difficult to manage. In this way, we aim to encourage an update in practices based on the latest scientific evidence. Results: A review of various international guidelines, some dating back to 2014, shows significant variation in approaches, ranging from initial diagnostic procedures to managing relapses. The most recent guidelines also lacked references to the latest literature, indicating that more robust scientific evidence is needed before new treatments, such as electrochemotherapy for palliation and reconstructive surgery post exenteration, can be widely adopted. Conclusions: From the systematic comparison of the main international guidelines, a strong heterogeneity emerged in the diagnostic and therapeutic recommendations as well as for the multidisciplinary approach that today is essential. Our work certainly stimulated an update of the main guidelines. Full article
(This article belongs to the Section Cancer Survivorship and Quality of Life)
19 pages, 792 KB  
Review
Recurrent and Metastatic Head and Neck Cancer: Mechanisms of Treatment Failure, Treatment Paradigms, and New Horizons
by William T. Barham, Marshall Patrick Stagg, Rula Mualla, Michael DiLeo and Sagar Kansara
Cancers 2025, 17(1), 144; https://doi.org/10.3390/cancers17010144 - 5 Jan 2025
Cited by 4 | Viewed by 3530
Abstract
Background: Head and neck cancer is a deadly disease with over 500,000 cases annually worldwide. Metastatic head and neck cancer accounts for a large proportion of the mortality associated with this disease. Many advances have been made in our understanding of the mechanisms [...] Read more.
Background: Head and neck cancer is a deadly disease with over 500,000 cases annually worldwide. Metastatic head and neck cancer accounts for a large proportion of the mortality associated with this disease. Many advances have been made in our understanding of the mechanisms of metastasis. The application of immunotherapy to locally recurrent or metastatic head and neck cancer has not only improved oncologic outcomes but has also provided valuable insights into the mechanisms of immune evasion and ultimately treatment failure. Objectives: This review paper will review our current understanding of biological mechanisms of treatment failure and metastasis. Published and ongoing clinical trials in the management of metastatic head and neck cancer will also be summarized. Methods: A narrative review was conducted to address the current understanding of the mechanisms of treatment failure and current treatment paradigms in recurrent and metastatic head and neck carcinoma. Conclusions: Our understanding of treatment failure in this disease is rapidly evolving. Immunotherapy represents a valuable new tool in the fight against recurrent and metastatic head and neck squamous cell carcinoma. Integrating patient and tumor specific data via artificial intelligence and deep learning will allow for a precision oncology approach, thereby achieving better prognostication and management of patients with this deadly disease. Full article
(This article belongs to the Collection Advances in Diagnostics and Treatment of Head and Neck Cancer)
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32 pages, 3337 KB  
Review
Exploring the Metabolic Impact of FLASH Radiotherapy
by Febe Geirnaert, Lisa Kerkhove, Pierre Montay-Gruel, Thierry Gevaert, Inès Dufait and Mark De Ridder
Cancers 2025, 17(1), 133; https://doi.org/10.3390/cancers17010133 - 3 Jan 2025
Cited by 7 | Viewed by 3866
Abstract
FLASH radiotherapy (FLASH RT) is an innovative modality in cancer treatment that delivers ultrahigh dose rates (UHDRs), distinguishing it from conventional radiotherapy (CRT). FLASH RT has demonstrated the potential to enhance the therapeutic window by reducing radiation-induced damage to normal tissues while maintaining [...] Read more.
FLASH radiotherapy (FLASH RT) is an innovative modality in cancer treatment that delivers ultrahigh dose rates (UHDRs), distinguishing it from conventional radiotherapy (CRT). FLASH RT has demonstrated the potential to enhance the therapeutic window by reducing radiation-induced damage to normal tissues while maintaining tumor control, a phenomenon termed the FLASH effect. Despite promising outcomes, the precise mechanisms underlying the FLASH effect remain elusive and are a focal point of current research. This review explores the metabolic and cellular responses to FLASH RT compared to CRT, with particular focus on the differential impacts on normal and tumor tissues. Key findings suggest that FLASH RT may mitigate damage in healthy tissues via altered reactive oxygen species (ROS) dynamics, which attenuate downstream oxidative damage. Studies indicate the FLASH RT influences iron metabolism and lipid peroxidation pathways differently than CRT. Additionally, various studies indicate that FLASH RT promotes the preservation of mitochondrial integrity and function, which helps maintain apoptotic pathways in normal tissues, attenuating damage. Current knowledge of the metabolic influences following FLASH RT highlights its potential to minimize toxicity in normal tissues, while also emphasizing the need for further studies in biologically relevant, complex systems to better understand its clinical potential. By targeting distinct metabolic pathways, FLASH RT could represent a transformative advance in RT, ultimately improving the therapeutic window for cancer treatment. Full article
(This article belongs to the Special Issue Feature Paper in Section “Cancer Therapy” in 2024)
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13 pages, 432 KB  
Review
Advancing Thoracic Surgical Oncology in the Era of Precision Medicine
by Giacomo Argento, Erino Angelo Rendina and Giulio Maurizi
Cancers 2025, 17(1), 115; https://doi.org/10.3390/cancers17010115 - 2 Jan 2025
Cited by 1 | Viewed by 1611
Abstract
The landscape of surgical oncology is rapidly evolving with the advent of precision medicine, driven by breakthroughs in genomics and proteomics. This article explores how integrating molecular data is transforming surgical decision-making and enabling personalized treatment strategies. We examine emerging technologies such as [...] Read more.
The landscape of surgical oncology is rapidly evolving with the advent of precision medicine, driven by breakthroughs in genomics and proteomics. This article explores how integrating molecular data is transforming surgical decision-making and enabling personalized treatment strategies. We examine emerging technologies such as next-generation sequencing, proteomic analysis, and molecular imaging, which provide critical insights into tumor biology and guide surgical interventions. The article also highlights the application of genomic and proteomic data in preoperative planning and the development of personalized resection strategies. Additionally, we will address the current challenges and future opportunities in this rapidly evolving field, emphasizing the need for continuous education, interdisciplinary collaboration, and ongoing research to fully realize the potential of precision medicine in thoracic surgical oncology, paving the way for more effective and individualized cancer treatments. Full article
(This article belongs to the Special Issue Oncogenomic and Multi-Omic Data Science and Data Engineering)
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20 pages, 2716 KB  
Article
Machine Learning and Computed Tomography Radiomics to Predict Disease Progression to Upfront Pembrolizumab Monotherapy in Advanced Non-Small-Cell Lung Cancer: A Pilot Study
by Ian Janzen, Cheryl Ho, Barbara Melosky, Qian Ye, Jessica Li, Gang Wang, Stephen Lam, Calum MacAulay and Ren Yuan
Cancers 2025, 17(1), 58; https://doi.org/10.3390/cancers17010058 - 28 Dec 2024
Cited by 3 | Viewed by 3435
Abstract
Background/Objectives: Pembrolizumab monotherapy is approved in Canada for first-line treatment of advanced NSCLC with PD-L1 ≥ 50% and no EGFR/ALK aberrations. However, approximately 55% of these patients do not respond to pembrolizumab, underscoring the need for the early intervention of non-responders to optimize [...] Read more.
Background/Objectives: Pembrolizumab monotherapy is approved in Canada for first-line treatment of advanced NSCLC with PD-L1 ≥ 50% and no EGFR/ALK aberrations. However, approximately 55% of these patients do not respond to pembrolizumab, underscoring the need for the early intervention of non-responders to optimize treatment strategies. Distinguishing the 55% sub-cohort prior to treatment is a real-world dilemma. Methods: In this retrospective study, we analyzed two patient cohorts treated with pembrolizumab monotherapy (training set: n = 97; test set: n = 17). The treatment response was assessed using baseline and follow-up CT scans via RECIST 1.1 criteria. Results: A logistic regression model, incorporating pre-treatment CT radiomic features of lung tumors and clinical variables, achieved high predictive accuracy (AUC: 0.85 in training; 0.81 in testing, 95% CI: 0.63–0.99). Notably, radiomic features from the peritumoral region were found to be independent predictors, complementing the standard CT evaluations and other clinical characteristics. Conclusions: This pragmatic model offers a valuable tool to guide first-line treatment decisions in NSCLC patients with high PD-L1 expression and has the potential to advance personalized oncology and improve timely disease management. Full article
(This article belongs to the Special Issue Advances in Oncological Imaging)
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12 pages, 1137 KB  
Article
Prognostic Value of Blood-Based Inflammatory Markers in Cancer Patients Receiving Immune Checkpoint Inhibitors
by Mustafa Murat Midik, Damla Gunenc, Pınar Fatma Acar and Burcak Saziye Karaca
Cancers 2025, 17(1), 37; https://doi.org/10.3390/cancers17010037 - 26 Dec 2024
Cited by 6 | Viewed by 2001
Abstract
Background: Although immune checkpoint inhibitors (ICIs) have significantly improved cancer treatment, a substantial proportion of patients do not benefit from these therapies, revealing the crucial need to identify reliable biomarkers. Inflammatory markers, such as the neutrophil-to-lymphocyte ratio (NLR), systemic immune-inflammation index (SII), pan-immune [...] Read more.
Background: Although immune checkpoint inhibitors (ICIs) have significantly improved cancer treatment, a substantial proportion of patients do not benefit from these therapies, revealing the crucial need to identify reliable biomarkers. Inflammatory markers, such as the neutrophil-to-lymphocyte ratio (NLR), systemic immune-inflammation index (SII), pan-immune inflammation value (PIV), systemic inflammation response index (SIRI), lactate dehydrogenase (LDH), and C-reactive protein (CRP), may provide insights into treatment outcomes. Objectives: This study aimed to evaluate the prognostic value of multiple inflammatory markers in patients with cancer receiving ICI-based therapies. Methods: A retrospective analysis was performed on 226 patients treated with ICI-based therapies at a single center between 2012 and 2023. The inflammatory markers NLR, PIV, SII, SIRI, LDH, CRP, and albumin were assessed. Cut-off values were determined using maximally selected rank statistics, and overall survival (OS) and progression-free survival (PFS) were evaluated using the Kaplan–Meier method and Cox regression analysis. Results: High NLR, PIV, SII, SIRI, LDH, and CRP, as well as low albumin levels, were associated with worse OS and PFS (p < 0.001). In the multivariate analysis, high CRP, LDH, NLR, PIV, and SII independently predicted worse OS. Conclusions: Our findings confirm the prognostic utility of several inflammatory biomarkers in patients with cancer receiving ICIs, highlighting their potential for treatment stratification. Further studies are necessary to standardize cut-off values and validate these findings across broader, more diverse populations. Full article
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24 pages, 1923 KB  
Article
Predictive Mortality and Gastric Cancer Risk Using Clinical and Socio-Economic Data: A Nationwide Multicenter Cohort Study
by Seong Uk Kang, Seung-Joo Nam, Oh Beom Kwon, Inhyeok Yim, Tae-Hoon Kim, Na Young Yeo, Myoung Nam Lim, Woo Jin Kim and Sang Won Park
Cancers 2025, 17(1), 30; https://doi.org/10.3390/cancers17010030 - 25 Dec 2024
Cited by 4 | Viewed by 2085
Abstract
Background/Objectives: Gastric cancer is a leading cause of cancer-related mortality, particularly in East Asia, with a notable burden in Republic of Korea. This study aimed to construct and develop machine learning models for the prediction of gastric cancer mortality and the identification of [...] Read more.
Background/Objectives: Gastric cancer is a leading cause of cancer-related mortality, particularly in East Asia, with a notable burden in Republic of Korea. This study aimed to construct and develop machine learning models for the prediction of gastric cancer mortality and the identification of risk factors. Methods: All data were acquired from the Korean Clinical Data Utilization for Research Excellence by multiple medical centers in South Korea. A total of 23,717 gastric cancer patients were divided into two groups by cause of mortality (all-cause of 2664 and disease-specific of 1620) and investigated. We used comprehensive data integrating clinical, pathological, lifestyle, and socio-economic factors. Cox proportional hazards analysis was conducted to estimate hazard ratios for mortality. Five machine learning models (random forest, gradient boosting machine, XGBoost, light GBM, and cat boosting) were developed to predict mortality. The models were interpreted by SHAP, one of the explainable AI techniques. Results: For all-cause mortality, the gradient-boosting machine learning model demonstrated the highest performance with an AUC-ROC of 0.795. For disease-specific mortality, the light GBM model outperformed others, achieving an AUC-ROC of 0.867. Significant predictors included the AJCC7 stage, tumor size, lymph node count, and lifestyle factors such as smoking, drinking, and diabetes. Conclusions: This study underscores the importance of integrating both clinical and lifestyle data to enhance mortality prediction accuracy in gastric cancer patients. The findings highlight the need for personalized treatment approaches in the Korean population and emphasize the role of demographic-specific data in predictive modeling. Full article
(This article belongs to the Section Clinical Research of Cancer)
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21 pages, 911 KB  
Review
Insights into the Relationship Between the Gut Microbiome and Immune Checkpoint Inhibitors in Solid Tumors
by Sona Ciernikova, Aneta Sevcikova, Maria Novisedlakova and Michal Mego
Cancers 2024, 16(24), 4271; https://doi.org/10.3390/cancers16244271 - 23 Dec 2024
Cited by 4 | Viewed by 6080
Abstract
Immunotherapy with immune checkpoint inhibitors represents a revolutionary approach to the treatment of solid tumors, including malignant melanoma, lung cancer, and gastrointestinal malignancies. Anti-CTLA-4 and anti-PD-1/PDL-1 therapies provide prolonged survival for cancer patients, but their efficacy and safety are highly variable. This review [...] Read more.
Immunotherapy with immune checkpoint inhibitors represents a revolutionary approach to the treatment of solid tumors, including malignant melanoma, lung cancer, and gastrointestinal malignancies. Anti-CTLA-4 and anti-PD-1/PDL-1 therapies provide prolonged survival for cancer patients, but their efficacy and safety are highly variable. This review focuses on the crucial role of the gut microbiome in modulating the efficacy and toxicity of immune checkpoint blockade. Studies suggest that the composition of the gut microbiome may influence the response to immunotherapy, with specific bacterial strains able to promote an anti-tumor immune response. On the other hand, dysbiosis may increase the risk of adverse effects, such as immune-mediated colitis. Interventions aimed at modulating the microbiome, including the use of probiotics, prebiotics, fecal microbial transplantation, or dietary modifications, represent promising strategies to increase treatment efficacy and reduce toxicity. The combination of immunotherapy with the microbiome-based strategy opens up new possibilities for personalized treatment. In addition, factors such as physical activity and nutritional supplementation may indirectly influence the gut ecosystem and consequently improve treatment outcomes in refractory patients, leading to enhanced patient responses and prolonged survival. Full article
(This article belongs to the Special Issue Immunotherapy of Solid Tumors and New Ideas of Anti-tumor Metastasis)
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24 pages, 4058 KB  
Review
Targeting of Non-Classical Human Leukocyte Antigens as Novel Therapeutic Strategies in Cancer
by Javier David Benitez Fuentes, Jorge Bartolome Arcilla, Kauzar Mohamed Mohamed, Alfonso Lopez de Sa, Alicia de Luna Aguilar, Kissy Guevara-Hoyer, Pablo Ballestin Martinez, Antonio David Lazaro Sanchez, Edgardo D. Carosella, Alberto Ocaña and Silvia Sánchez-Ramon
Cancers 2024, 16(24), 4266; https://doi.org/10.3390/cancers16244266 - 22 Dec 2024
Cited by 4 | Viewed by 7905
Abstract
Human leukocyte antigens (HLAs) are essential regulators of immune responses against cancer, with classical HLAs well-documented for their role in tumor recognition and immune surveillance. In recent years, non-classical HLAs—including HLA-E, HLA-F, HLA-G, and HLA-H—have emerged as critical players in the immune landscape [...] Read more.
Human leukocyte antigens (HLAs) are essential regulators of immune responses against cancer, with classical HLAs well-documented for their role in tumor recognition and immune surveillance. In recent years, non-classical HLAs—including HLA-E, HLA-F, HLA-G, and HLA-H—have emerged as critical players in the immune landscape of cancer due to their diverse and less conventional functions in immune modulation. These molecules exhibit unique mechanisms that enable tumors to escape immune detection, promote tumor progression, and contribute to therapeutic resistance. This review provides a comprehensive examination of the current understanding of non-classical HLAs in solid cancers, focusing on their specific roles in shaping the tumor microenvironment and influencing immune responses. By analyzing how HLA-E, HLA-F, HLA-G, and HLA-H modulate interactions with immune cells, such as T cells, natural killer cells, and antigen-presenting cells, we highlight key pathways through which these molecules contribute to immune evasion and metastasis. Additionally, we review promising therapeutic strategies aimed at targeting non-classical HLAs, including emerging immunotherapies that could potentially enhance cancer treatment outcomes by reversing immune suppression within tumors. Understanding the influence of these non-classical HLAs in solid cancers may offer new insights into cancer immunology and may lead to the development of innovative and more effective immunotherapeutic approaches. This review underscores the importance of non-classical HLAs as potential therapeutic targets, providing a necessary foundation for future studies in the evolving field of cancer immunotherapy. Full article
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27 pages, 17565 KB  
Article
Ulcerative Colitis, LAIR1 and TOX2 Expression, and Colorectal Cancer Deep Learning Image Classification Using Convolutional Neural Networks
by Joaquim Carreras, Giovanna Roncador and Rifat Hamoudi
Cancers 2024, 16(24), 4230; https://doi.org/10.3390/cancers16244230 - 19 Dec 2024
Cited by 7 | Viewed by 2844
Abstract
Background: Ulcerative colitis is a chronic inflammatory bowel disease of the colon mucosa associated with a higher risk of colorectal cancer. Objective: This study classified hematoxylin and eosin (H&E) histological images of ulcerative colitis, normal colon, and colorectal cancer using artificial intelligence (deep [...] Read more.
Background: Ulcerative colitis is a chronic inflammatory bowel disease of the colon mucosa associated with a higher risk of colorectal cancer. Objective: This study classified hematoxylin and eosin (H&E) histological images of ulcerative colitis, normal colon, and colorectal cancer using artificial intelligence (deep learning). Methods: A convolutional neural network (CNN) was designed and trained to classify the three types of diagnosis, including 35 cases of ulcerative colitis (n = 9281 patches), 21 colon control (n = 12,246), and 18 colorectal cancer (n = 63,725). The data were partitioned into training (70%) and validation sets (10%) for training the network, and a test set (20%) to test the performance on the new data. The CNNs included transfer learning from ResNet-18, and a comparison with other CNN models was performed. Explainable artificial intelligence for computer vision was used with the Grad-CAM technique, and additional LAIR1 and TOX2 immunohistochemistry was performed in ulcerative colitis to analyze the immune microenvironment. Results: Conventional clinicopathological analysis showed that steroid-requiring ulcerative colitis was characterized by higher endoscopic Baron and histologic Geboes scores and LAIR1 expression in the lamina propria, but lower TOX2 expression in isolated lymphoid follicles (all p values < 0.05) compared to mesalazine-responsive ulcerative colitis. The CNN classification accuracy was 99.1% for ulcerative colitis, 99.8% for colorectal cancer, and 99.1% for colon control. The Grad-CAM heatmap confirmed which regions of the images were the most important. The CNNs also differentiated between steroid-requiring and mesalazine-responsive ulcerative colitis based on H&E, LAIR1, and TOX2 staining. Additional classification of 10 new cases of colorectal cancer (adenocarcinoma) were correctly classified. Conclusions: CNNs are especially suited for image classification in conditions such as ulcerative colitis and colorectal cancer; LAIR1 and TOX2 are relevant immuno-oncology markers in ulcerative colitis. Full article
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18 pages, 4694 KB  
Article
BNIP3 Downregulation Ameliorates Muscle Atrophy in Cancer Cachexia
by Claudia Fornelli, Marc Beltrà, Antonio Zorzano, Paola Costelli, David Sebastian and Fabio Penna
Cancers 2024, 16(24), 4133; https://doi.org/10.3390/cancers16244133 - 11 Dec 2024
Cited by 4 | Viewed by 2415
Abstract
Background and Aims: Cancer cachexia is a complex syndrome affecting most cancer patients and is directly responsible for about 20% of cancer-related deaths. Previous studies showed muscle proteolysis hyper-activation and mitophagy induction in tumor-bearing animals. While basal mitophagy is required for maintaining muscle [...] Read more.
Background and Aims: Cancer cachexia is a complex syndrome affecting most cancer patients and is directly responsible for about 20% of cancer-related deaths. Previous studies showed muscle proteolysis hyper-activation and mitophagy induction in tumor-bearing animals. While basal mitophagy is required for maintaining muscle mass and quality, excessive mitophagy promotes uncontrolled protein degradation, muscle loss and impaired function. BNIP3, a key mitophagy-related protein, is significantly increased in the muscles of both mice and human cancer hosts. This study aimed to define the potential of mitigating mitophagy via BNIP3 downregulation in preserving mitochondrial integrity, counteracting skeletal muscle loss in experimental cancer cachexia. Methods: Two in vivo gene delivery methods were performed to knock down muscle BNIP3: electroporation of a BNIP3-specific shRNA expression vector or adenovirus injection. Results: The electroporation effectively reduced muscle BNIP3 in healthy mice but was ineffective in C26 tumor-bearing mice. In contrast, adenovirus-mediated BNIP3 knockdown successfully decreased BNIP3 levels also in tumor hosts. Although BNIP3 knockdown did not impact overall on body or muscle mass, it improved muscle fiber size in C26-bearing miceh2, suggesting partial prevention of muscle atrophy. Mitochondrial respiratory chain complexes (OxPhos) and TOM20 protein levels were consistently rescued, indicating improvements in mitochondrial mass, while H2O2 levels were unchanged among the groups, suggesting that BNIP3 downregulation does not impair the endogenous control of oxidative balance. Conclusions: These findings suggest that a fine balance between mitochondrial disposal and biogenesis is fundamental for preserving muscle homeostasis and highlight a potential role for BNIP3 modulation against cancer-induced muscle wasting. Full article
(This article belongs to the Section Molecular Cancer Biology)
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12 pages, 665 KB  
Review
Sex Disparities in Bladder Cancer Diagnosis and Treatment
by Géraldine Pignot, Philippe Barthélémy and Delphine Borchiellini
Cancers 2024, 16(23), 4100; https://doi.org/10.3390/cancers16234100 - 7 Dec 2024
Cited by 7 | Viewed by 2027
Abstract
Gender differences in prevalence, tumor invasiveness, response to treatment, and clinical outcomes exist in different types of cancer. The aim of this article is to summarize the sex disparities in bladder cancer diagnosis and treatment and try to suggest areas for improvement. Although [...] Read more.
Gender differences in prevalence, tumor invasiveness, response to treatment, and clinical outcomes exist in different types of cancer. The aim of this article is to summarize the sex disparities in bladder cancer diagnosis and treatment and try to suggest areas for improvement. Although men are at a higher risk of developing bladder tumors, women tend to be diagnosed with more advanced stages at diagnosis and are more likely to present with upfront muscle-invasive disease. Non-urothelial histological subtypes are more frequently reported in women. Regarding non-muscle-invasive bladder cancer (NMIBC), several studies have shown that women have a higher risk of disease recurrence after treatment with Bacillus Calmette–Guerin, due to different immunogenicities. In localized muscle-invasive bladder cancer (MIBC), neoadjuvant chemotherapy and cystectomy are less likely to be performed on women and sexual-sparing procedures with neobladder diversion are rarely offered. Finally, women appear to have a poorer prognosis than men, potentially due to the sex-associated intrinsic features of hosts and tumors that may drive differential therapeutic responses, particularly to immune-based therapies. Women are also more likely to develop severe adverse events related to systemic therapies and are underrepresented in randomized studies, leading to a gap between the real world and trials. In conclusion, studies investigating the role of sex and gender are urgently needed to improve the management of urothelial carcinoma. Full article
(This article belongs to the Special Issue Sex Differences in Cancer)
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20 pages, 1081 KB  
Review
Implication of the Extracellular Matrix in Metastatic Tumor Cell Dormancy
by Chloe Redoute-Timonnier and Patrick Auguste
Cancers 2024, 16(23), 4076; https://doi.org/10.3390/cancers16234076 - 5 Dec 2024
Cited by 5 | Viewed by 8128
Abstract
Metastasis is the main cause of cancer-related deaths. The formation and growth of metastasis is a multistep process. Tumor cells extravasating in the secondary organ are in contact with a new microenvironment and a new extracellular matrix (ECM), called the metastatic niche. Some [...] Read more.
Metastasis is the main cause of cancer-related deaths. The formation and growth of metastasis is a multistep process. Tumor cells extravasating in the secondary organ are in contact with a new microenvironment and a new extracellular matrix (ECM), called the metastatic niche. Some components of the ECM, such as periostin, can induce tumor cell growth in macrometastasis. In contrast, other components, such as Thrombospondin 1 (TSP-1), can maintain isolated cells in a dormant state. During dormancy, intracellular signaling activation, such as p38, maintains tumor cells arrested in the cell-cycle G0 phase for years. At any moment, stress can induce ECM modifications and binding to their specific receptors (mainly integrins) and reactivate dormant tumor cell growth in macrometastasis. In this review, we describe the tumor microenvironment of the different niches implicated in tumor cell dormancy. The role of ECM components and their associated receptors and intracellular signaling in the reactivation of dormant tumor cells in macrometastasis will be emphasized. We also present the different methodologies and experimental approaches used to study tumor cell dormancy. Finally, we discuss the current and future treatment strategies to avoid late metastasis relapse in patients. Full article
(This article belongs to the Special Issue Extracellular Matrix Proteins in Cancer)
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20 pages, 2728 KB  
Review
P53 and the Ultraviolet Radiation-Induced Skin Response: Finding the Light in the Darkness of Triggered Carcinogenesis
by Carla Carvalho, Rita Silva, Teresa M. V. D. Pinho e Melo, Alberto Inga and Lucília Saraiva
Cancers 2024, 16(23), 3978; https://doi.org/10.3390/cancers16233978 - 27 Nov 2024
Cited by 11 | Viewed by 7035
Abstract
This review delves into the significant cellular and molecular responses triggered by UVR exposure in human skin, emphasizing the pivotal role of mutant p53 (mutp53) in the carcinogenic process elicited by radiation. By underlining the role of a functional p53 in safeguarding skin [...] Read more.
This review delves into the significant cellular and molecular responses triggered by UVR exposure in human skin, emphasizing the pivotal role of mutant p53 (mutp53) in the carcinogenic process elicited by radiation. By underlining the role of a functional p53 in safeguarding skin cells from UVR-induced damage, this work underscores the potential significance of targeting mutp53, aiming to restore its wild-type-like activity (reactivation), as a protective strategy against skin cancer (SC), particularly NMSC. Most importantly, an interesting crosstalk between p53 and its vitamin D receptor (VDR) transcriptional target is also highlighted in the suppression of skin carcinogenesis, which opens the way to promising chemopreventive strategies involving synergistic combinations between mutp53 reactivators and vitamin D. Collectively, this review not only opens new avenues for future research, but also offers promising prospects for the development of novel beneficial approaches in the field of SC. Full article
(This article belongs to the Special Issue Advances in Molecular Oncology and Therapeutics)
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19 pages, 2052 KB  
Article
Uterine Carcinosarcoma (UCS): A Literature Review and Survival Analysis from a Retrospective Cohort Study
by Mauro Francesco Pio Maiorano, Gennaro Cormio, Brigida Anna Maiorano and Vera Loizzi
Cancers 2024, 16(23), 3905; https://doi.org/10.3390/cancers16233905 - 21 Nov 2024
Cited by 5 | Viewed by 5435
Abstract
Background/Objectives: Uterine carcinosarcomas (UCSs) are rare and aggressive malignancies with limited epidemiological data. This study aims to evaluate the clinical and pathological features and prognostic factors of UCS in a retrospective cohort of 80 patients, contributing to improved management strategies. Methods: We conducted [...] Read more.
Background/Objectives: Uterine carcinosarcomas (UCSs) are rare and aggressive malignancies with limited epidemiological data. This study aims to evaluate the clinical and pathological features and prognostic factors of UCS in a retrospective cohort of 80 patients, contributing to improved management strategies. Methods: We conducted a retrospective analysis of UCS cases treated from 1995 to 2024 at three institutions. Data on demographics, clinical features, histopathology, treatment, and outcomes were collected. Overall survival (OS) and prognostic factors were assessed using Kaplan–Meier and Cox proportional hazards regression analyses. Results: The median age of patients was 66 years, with a median overall survival of 34.5 months. Disease recurrence occurred in 32.5% of cases, with a median disease-free interval of 17.92 months. Age, tumour stage, and size emerged as significant predictors of survival. Stage I–II patients had a significantly better prognosis than those with Stage III–IV (HR = 0.438, p = 0.008). Tumour size >4 cm was associated with increased mortality (HR = 2.154, p = 0.019). Lymphadenectomy was not independently associated with improved survival. Adjuvant chemotherapy, mainly carboplatin and paclitaxel, was administered to 67.5% of patients, achieving a complete response in 66.67%. Conclusions: Tumour stage and age are significant independent predictors of survival in UCS, underscoring the need for early diagnosis and intervention. Tumour size is also crucial in determining prognosis. The role of lymphadenectomy remains uncertain, emphasizing the importance of individualized treatment approaches. Future research should explore molecular profiling to further refine prognostication and therapeutic strategies for this challenging malignancy. Full article
(This article belongs to the Section Molecular Cancer Biology)
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14 pages, 2192 KB  
Systematic Review
Prostate-Specific Membrane Antigen (PSMA) PET/CT in the Detection and Diagnosis of Hepatocellular Carcinoma (HCC): A Systematic Review and Meta-Analysis
by Nicholas Hannah, Catherine Yu, Leya Nedumannil, James Haridy, Grace Kong, Alex Boussioutas and Siddharth Sood
Cancers 2024, 16(22), 3865; https://doi.org/10.3390/cancers16223865 - 19 Nov 2024
Cited by 5 | Viewed by 3652
Abstract
Prostate-specific membrane antigen (PSMA) positron emission tomography (PET) is widely used in prostate cancer. Recent studies indicate hepatocellular carcinoma (HCC) demonstrates PSMA PET uptake. The diagnostic accuracy of PSMA PET for HCC is not known. We conducted a systematic review and meta-analysis of [...] Read more.
Prostate-specific membrane antigen (PSMA) positron emission tomography (PET) is widely used in prostate cancer. Recent studies indicate hepatocellular carcinoma (HCC) demonstrates PSMA PET uptake. The diagnostic accuracy of PSMA PET for HCC is not known. We conducted a systematic review and meta-analysis of studies assessing 68Ga-PSMA-11 in HCC. Nine studies were included, with 196 patients and a total of 491 HCC lesions. Per-patient analysis yielded a pooled sensitivity of 89.8% (95% CI 78.5–95.5). Specificity was poorly reported, with insufficient data. When per-lesion level analysis was performed on seven studies, the pooled sensitivity was 94.5% (95% CI 82.9–98.4), and specificity was again poorly reported with insufficient data. Among the three studies with adequate data for full per-lesion meta-analysis, 115 lesions in 41 patients demonstrated sensitivity of 97.1% (95% CI 87.8–99.4), while specificity was 42.2% (95% CI 0.3–99.4). Two studies provided sufficient data for meta-analysis on a per-patient level (n = 50 patients), demonstrating a sensitivity of 92.5% (95% CI 64.0–98.9) and specificity of 72.4% (95% CI 1.3–99.8). PSMA PET demonstrates a high sensitivity for HCC and shows promise as an imaging modality for diagnosis and staging of HCC. However, the existing literature does not provide enough data to confidently evaluate its specificity and, therefore, accuracy. Further prospective studies are necessary, with a focus on the accurate reporting of benign lesions and inclusion of patients with an intermediate probability of HCC. Full article
(This article belongs to the Special Issue New Approaches in Radiotherapy for Cancer)
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12 pages, 601 KB  
Article
First-Line Combination of R-CHOP with the PDE4 Inhibitor Roflumilast for High-Risk DLBCL
by Adolfo E. Diaz Duque, Pedro S. S. M. Ferrari, Purushoth Ethiraj, Carine Jaafar, Zhijun Qiu, Kenneth Holder, Mathew J. Butler, Gabriela Huelgas-Morales, Anand Karnad, Patricia L. M. Dahia and Ricardo C. T. Aguiar
Cancers 2024, 16(22), 3857; https://doi.org/10.3390/cancers16223857 - 18 Nov 2024
Cited by 1 | Viewed by 2382
Abstract
Background: Diffuse large B-cell lymphoma (DLBCL) is a common and often fatal malignancy. The standard-of-care immunochemotherapy, R-CHOP, cures only about 60% of DLBCL patients. Improving this cure rate will likely require the effective translation of basic biology knowledge into clinical activities. We previously [...] Read more.
Background: Diffuse large B-cell lymphoma (DLBCL) is a common and often fatal malignancy. The standard-of-care immunochemotherapy, R-CHOP, cures only about 60% of DLBCL patients. Improving this cure rate will likely require the effective translation of basic biology knowledge into clinical activities. We previously identified the cyclic-AMP/phosphodiesterase 4 (PDE4) axis as an important modulator of lymphomagenic processes. We also showed that the FDA-approved PDE4 inhibitor roflumilast can suppress B-cell receptor (BCR) signals, phosphoinositide 3-kinase (PI3K) activity and angiogenesis. These data suggested that combining roflumilast with R-CHOP may be beneficial in DLBCL. Methods: We conducted a single-center, single-arm, open-label, phase 1 study of roflumilast in combination with the standard of care, R-CHOP (Ro+R-CHOP), in pathologically proven, treatment-naïve, high-risk DLBCL patients. Results: Ro+R-CHOP was safe, and at a median follow-up time of 44 months, 70% of patients were alive and disease free (median OS not reached, PFS 44% (95% CI, 21–92). In this pilot series, we found that the addition of roflumilast suppressed PI3K activity in peripheral blood mononuclear cells, and VEGF-A secretion in the urine. We also encountered preliminary evidence to suggest that the Ro+R-CHOP combination may be particularly beneficial to patients diagnosed with high-risk genetic subtypes of DLBCL, namely MCD and A53. Conclusions: These initial findings suggest that roflumilast may be an alternative agent able to inhibit BCR/PI3K activity and angiogenesis in DLBCL, and that the testing of Ro+R-CHOP in a larger series of genetically characterized tumors is warranted. This study was registered at ClinicalTrials.gov, number NCT03458546. Full article
(This article belongs to the Special Issue PI3K Pathway in Cancer)
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17 pages, 2527 KB  
Review
Tracing Quiescent Cancer Cells In Vivo
by Moon Jong Kim
Cancers 2024, 16(22), 3822; https://doi.org/10.3390/cancers16223822 - 14 Nov 2024
Cited by 4 | Viewed by 5358
Abstract
QCCs have long gained significant interest as potential “seeds” for recurrent cancers. Clinical evidence suggests that a subset of cancer cells exits the cell cycle and enters a quiescent state following anti-cancer treatment. These microscopic-residual QCCs are extremely challenging to trace and detect [...] Read more.
QCCs have long gained significant interest as potential “seeds” for recurrent cancers. Clinical evidence suggests that a subset of cancer cells exits the cell cycle and enters a quiescent state following anti-cancer treatment. These microscopic-residual QCCs are extremely challenging to trace and detect within patients. Additionally, QCCs resist conventional anti-cancer therapies due to the lack of cell activity. Notably, upon the unknown environmental cues in unknown time points, sometimes decades later, QCCs can reactivate, triggering cancer relapse at primary or secondary sites. Currently, no targeted therapies or diagnostic tools exist for QCCs, and their molecular regulatory mechanisms remain largely unknown. The major challenge in understanding QCCs lies in the limited availability of human-relevant pre-clinical models that trace and collect QCCs in vivo. This review provides an overview of existing QCC tracing systems and analyzes their limitations. It also cautiously proposes potential improvements for tracing QCCs in vivo based on recent advancements in QCC studies and lineage-tracing techniques. Developing human-relevant and easily accessible in vivo tracing systems will be a crucial step in advancing QCC diagnostics and therapeutic strategies. Full article
(This article belongs to the Special Issue Cancer Cells Fostered Microenvironment in Metastasis)
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21 pages, 1704 KB  
Review
Therapeutic Landscape of FOXM1 in Triple-Negative Breast Cancer and Aggressive Solid Cancers
by Sayra Dilmac, Zuhal Hamurcu and Bulent Ozpolat
Cancers 2024, 16(22), 3823; https://doi.org/10.3390/cancers16223823 - 14 Nov 2024
Cited by 8 | Viewed by 6020
Abstract
Triple-negative breast cancer (TNBC) is one of the most aggressive forms of breast cancer, lacking common treatment targets such as estrogen (ER), progesterone (PR), and HER2 receptors. This subtype is associated with significant heterogeneity, chemoresistance, early recurrence, metastasis, and poor patient survival. FOXM1 [...] Read more.
Triple-negative breast cancer (TNBC) is one of the most aggressive forms of breast cancer, lacking common treatment targets such as estrogen (ER), progesterone (PR), and HER2 receptors. This subtype is associated with significant heterogeneity, chemoresistance, early recurrence, metastasis, and poor patient survival. FOXM1 is a cancer-promoting transcription factor that plays a critical role in TNBC and other highly aggressive cancers by driving cell proliferation, invasion, metastasis, and drug resistance. In TNBC, mutations in the TP53 gene—detected in approximately 80% of patients—lead to the overexpression of FOXM1, making it a promising therapeutic target. Beyond TNBC, FOXM1 is implicated in other solid cancers, such as brain (glioblastoma), lung, and pancreatic cancers, and is considered an Achilles’ heel of aggressive cancers. Despite its potential as a therapeutic target, there are currently no FDA-approved FOXM1 inhibitors, and none have advanced to clinical trials. This review explores the role of FOXM1 in cancer progression and highlights the current status of efforts to develop effective FOXM1 inhibitors. Full article
(This article belongs to the Collection Targeting Solid Tumors)
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24 pages, 2009 KB  
Review
Harnessing Bacterial Agents to Modulate the Tumor Microenvironment and Enhance Cancer Immunotherapy
by Christina James Thomas, Kaylee Delgado, Kamlesh Sawant, Jacob Roy, Udit Gupta, Carly Shaw Song, Rayansh Poojary, Paul de Figueiredo and Jianxun Song
Cancers 2024, 16(22), 3810; https://doi.org/10.3390/cancers16223810 - 13 Nov 2024
Cited by 15 | Viewed by 8527
Abstract
Cancer immunotherapy has revolutionized cancer treatment by leveraging the immune system to attack tumors. However, its effectiveness is often hindered by the immunosuppressive tumor microenvironment (TME), where a complex interplay of tumor, stromal, and immune cells undermines antitumor responses and allows tumors to [...] Read more.
Cancer immunotherapy has revolutionized cancer treatment by leveraging the immune system to attack tumors. However, its effectiveness is often hindered by the immunosuppressive tumor microenvironment (TME), where a complex interplay of tumor, stromal, and immune cells undermines antitumor responses and allows tumors to evade immune detection. This review explores innovative strategies to modify the TME and enhance immunotherapy outcomes, focusing on the therapeutic potential of engineered bacteria. These bacteria exploit the unique characteristics of the TME, such as abnormal vasculature and immune suppression, to selectively accumulate in tumors. Genetically modified bacteria can deliver therapeutic agents, including immune checkpoint inhibitors and cytokines, directly to tumor sites. This review highlights how bacterial therapeutics can target critical immune cells within the TME, such as myeloid-derived suppressor cells and tumor-associated macrophages, thereby promoting antitumor immunity. The combination of bacterial therapies with immune checkpoint inhibitors or adoptive cell transfer presents a promising strategy to counteract immune suppression. Continued research in this area could position bacterial agents as a powerful new modality to reshape the TME and enhance the efficacy of cancer immunotherapy, particularly for tumors resistant to conventional treatments. Full article
(This article belongs to the Topic Gut Microbiota and Cancer)
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