Onco

Small cell lung cancer (SCLC) is a highly aggressive neuroendocrine disease marked by rapid growth, early metastatic spread, and poor outcomes. The addition of immune checkpoint inhibitors (ICIs) targeting the PD-1/PD-L1 axis to first-line chemotherapy has recently reshaped the treatment landscape for extensive-stage SCLC (ES-SCLC); however, the resulting survival gains remain modest compared with non-small lung cancer (NSCLC). This review explores the molecular features of the SCLC immune landscape that contribute to its predominantly “cold” tumor phenotype, including low MHC class I expression, T-cell exhaustion, and a profoundly immunosuppressive tumor microenvironment (TME). We summarize key clinical findings from landmark trials and examine mechanisms of both primary and acquired resistance against ICIs in SCLC. In addition, we have reviewed the growing role of precision medicine in SCLC, including molecular subtyping (SCLC-A, -N, -P, and -I) and the development of next-generation immunotherapies such as bispecific T-cell engagers (BiTEs), B7-H3, targeted therapy, and antibody–drug conjugates. By combining existing clinical evidence with new molecular insights, this review article presents strategies to overcome the existing therapeutic plateau and enhance personalized immunotherapy approaches in SCLC. Full article

Cervical cancer is strongly associated with persistent infection by high-risk human papillomavirus (HPV). Recent advances in immunotherapy have redefined the therapeutic landscape of this disease. We aim to review the biological rationale, clinical evidence, and biomarker standardization supporting the use of immune checkpoint inhibitors (ICIs) in cervical cancer. A comprehensive review of recent literature and pivotal phase II–III clinical trials was performed, focusing on the PD-1/PD-L1 and CTLA-4 pathways, mechanisms of immune evasion, and predictive biomarkers. Persistent HPV infection leads to immune dysregulation and PD-L1 upregulation through E6/E7-mediated activation of the PI3K/AKT/mTOR and JAK/STAT pathways. ICIs have demonstrated significant improvements in overall survival, progression-free survival, and objective response rates in advanced and recurrent disease. PD-L1 immunohistochemistry using standardized assays such as 22C3 pharmDx and SP263 remains the key biomarker for treatment selection, while emerging molecular markers (TMB, MSI, HLA-I expression) are under investigation. Immunotherapy represents a major step forward in cervical cancer management, integrating molecular diagnostics and immune modulation into clinical practice. Continued efforts to refine biomarkers, optimize combination strategies, and expand global access will be essential to achieve equitable outcomes and disease elimination goals. Full article

Introduction: Radiotherapy plays a critical role in the management of head and neck squamous-cell carcinoma (HNSCC); however, the influence of overall treatment time on patient outcomes remains an area of ongoing investigation. The use of radiation, either in conjunction with concurrent chemotherapy or on its own, is crucial when treating HNSCC. Despite the longstanding hypothesis that treatment gaps may adversely affect tumor response and overall survival, there is a paucity of literature on this particular area. This study aims to bridge the knowledge gap and assess the correlation of treatment gaps on recurrences in HNSCC patients. Materials and Methodology: This retrospective study is based on an analysis of data obtained from a single institution between 2017 and 2021. Patients were selected on the basis of the presence of treatment gaps. Data were extracted from medical records and analyzed to evaluate the association between overall treatment time and various patient and treatment-related factors. Various factors thought to contribute to treatment gaps, such as age, TNM Stage, radiation dose, and use of concurrent chemotherapy, were also examined. Results: A total of 212 patients with treatment gaps were evaluated. Of these, 80 individuals experienced recurrences. It was observed that compared to distant metastases, locoregional failure was more frequent (n = 2, 4.2% vs. n = 45, 95.74%). The patients underwent both adjuvant and definitive therapy and were treated with a dose range of 60–70 Gy and concurrent cisplatin chemotherapy. It was noticed that this cohort had a range of 4–43 days of treatment gaps. Notably, 19 out of 47 patients had treatment gaps ≤ 5 days, while 28 out of 47 had gaps exceeding 5 days. It was also observed that patients with treatment gaps of >5 days had poorer quality of life and overall survival. Conclusions: This study identified that the Overall Treatment Time (OTT) had a strong statistical correlation with the development of recurrences. Further, the age of the patient, presence of neutropenia and the duration of the treatment gap were also identified to significantly correlate with the chance of developing recurrences. Full article

Most clinical cancer therapy trials do not specifically consider the effect of patient age on treatment outcomes, and many even exclude older individuals. This is despite the fact that solid cancers are age-associated diseases and that there are many shared hallmarks between biological ageing and cancer. Thus, there is an increasing awareness of the serious gaps remaining in our knowledge of how older adults respond to cancer treatments, particularly immunotherapies. Emerging evidence suggests that it is not only the physiological and immunological changes associated with chronological ageing that impacts cancer treatment, but also those heterogeneous differences that impact treatment outcomes, such as frailty, comorbidities, and more generally, biological ageing. Importantly, it remains unclear which of these factors are negative or positive contributors, as has been illuminated by recent evidence pertaining to the incidence and severity of immune-related adverse events and survival. Much of our information on older patients in this context is essentially anecdotal, mostly deriving from the treatment of older adults in real-world practice or clinical trials that happened to include some older patients. Given the lack of comprehensive articles on the heterogeneity of ageing as a core determinant of cancer treatment outcomes, we briefly consider the state of the art of cancer research and treatment in the older patient, with an emphasis on immunotherapy and geriatric oncology. Full article

In the context of advanced BRAF-mutant melanoma, the treatment landscape has undergone a paradigm shift due to the impact of immune checkpoint inhibitors and BRAF/MEK inhibitors. This article presents three clinically illustrative melanoma cases that served as focal points for in-depth discussions during 12 expert meetings held across Spain. These include a treatment-naïve metastatic melanoma patient, a patient experiencing a recurrence while on anti-PD-1 adjuvant therapy, and a third patient whose melanoma relapsed ≥6 months after the end of adjuvant therapy. The discussions revolved around optimal treatment sequencing, emphasizing the challenges and alternatives discussed in each scenario. The common view aligned towards a nuanced approach that involves navigating the complexities of treatment choices. The conclusions underscore the need for personalized therapeutic strategies and highlight the ongoing challenge of refining real-life evidence-based algorithms for the management of metastatic BRAF-mutant melanoma. Full article

Background: The belief that “sugar feeds cancer” is widespread and has strongly influenced public perceptions, patient behavior, and dietary recommendations, despite uncertainty regarding its scientific validity. This belief largely stems from misinterpretation of the Warburg effect, which describes altered glucose metabolism in cancer cells rather than dietary sugar dependence. The objective of this review was to critically evaluate whether dietary sugar intake directly contributes to cancer development or progression by examining the totality of epidemiological, experimental, and mechanistic evidence. Methods: We conducted a narrative review of human epidemiological studies, experimental animal and cell-based models, and mechanistic investigations published between 1980 and July 2025. Evidence was synthesized across cancer types, sugar sources, and biological pathways, with careful consideration of study design, exposure relevance, and key confounders, including obesity, insulin resistance, and overall dietary patterns. Results: Across cancer types, epidemiological evidence showed predominantly null or inconsistent associations between sugar intake and cancer risk or outcomes, with positive findings largely confined to metabolically susceptible subgroups and often attenuated after adjustment for adiposity and energy intake. Experimental studies suggested potential tumor-promoting effects under non-physiological conditions, while mechanistic data indicated that sugar influences cancer risk indirectly through insulin signaling, inflammation, and metabolic dysfunction rather than direct tumor fueling. Conclusions: Current evidence does not support the hypothesis that dietary sugar directly “feeds” cancer in humans. Overemphasis on sugar avoidance risks nutritional and psychological harm, particularly among cancer patients. Evidence-based guidance should prioritize overall dietary quality, metabolic health, and patient well-being rather than isolated sugar restriction. Full article

Immunotherapy has revolutionized the management of patients with cancer. Immune checkpoint inhibition (ICI) is a promising treatment option that targets the molecular mechanisms that cancer cells exploit to prevent immune-mediated elimination. ICI therapy can cause exceptional long-term tumor remissions, in some cases, even after treatment discontinuation. Despite its success, many patients acquire resistance or fail to respond due to immune escape mechanisms mediated by the tumor and its microenvironment. Pre-existing immunity status of individuals seems to play a fundamental role in immunotherapy response and eventually tumor progression, as it orchestrates tumor-immune interactions. Different immune cell subsets, both in the tumor microenvironment and the peripheral blood, are established mediators that contribute to immune escape in various tumor types. Based on these findings, the elucidation of the mechanisms implicated in the regulation of these immune cells has become a priority for investigators focused on improving the efficacy of ICI. This will be essential for identifying responders as well as for developing novel therapeutic modalities to improve clinical outcomes. Herein, we summarize preclinical and clinical evidence proposing a predictive role of pre-existing immunity for clinical responses to immunotherapies. Full article

Background: There are approximately 5.4 M basal cell (BCC) and squamous cell (SCC) carcinomas diagnosed each year, and the number is increasing. Currently, the gold standard for skin cancer diagnosis is histopathology, which requires the surgical excision of the tumor followed by pathological evaluation of a tissue biopsy. The three-dimensional (3D) nature of human tissue suggests that two-dimensional (2D) cross sections may be insufficient in some cases to represent the complex structure due to sampling bias. There is a need for new techniques that can be used to classify skin lesion types and margins noninvasively. Methods: We use optical coherence tomography volume scan images and AI to noninvasively create 3D images of basal cell and squamous cell carcinomas. Results: Three-dimensional optical coherence tomography images can be broken down into a series of cross sections that can be classified as benign or cancerous using convolutional neural network models developed in this study. These models can identify cancerous regions as well as clear edges. Cancerous regions can also be verified based on visual review of the color-coded images and the loss of the green and blue subchannel pixel intensities. Conclusions: Three-dimensional optical coherence tomography cross sections of cancerous lesions can be collected noninvasively, and AI can be used to classify skin lesions and detect clear lesion edges. These images may provide a means to speed up treatment and promote better patient screening, especially in older patients who will likely develop several lesions as they age. Full article

The tumor microenvironment (TME) plays an important role in the development, progression, and treatment response of pediatric cancers, yet remains less elucidated compared to adult malignancies. Pediatric tumors are unique with a low mutational burden, an immature immune landscape, and unique stromal interactions. The resultant “cold” immune microenvironments limits the effectiveness of conventional immunotherapies. This review summarizes the key cellular and non-cellular components of the pediatric TME—including T cells, NK cells, tumor-associated macrophages, cancer-associated fibroblasts, extracellular matrix remodeling, angiogenesis, and hypoxia—and describes how these elements shape tumor behavior and therapy resistance. The role of TME in common pediatric cancers like leukemia, lymphoma, neuroblastoma, brain tumors, renal tumors, and sarcomas is discussed. Emerging therapeutic strategies targeting immune checkpoints, macrophage polarization, angiogenic pathways, and stromal barriers are discussed. Full article

Background: Melanoma and triple-negative breast cancer (TNBC) are the most aggressive skin and breast cancers, often diagnosed at late stages with limited treatment options. The melanoma-associated antigen melanotransferrin (MTf) is overexpressed in these solid tumors, where it drives tumorigenesis, progression, and chemoresistance. Its inhibition correlates with tumor regression, making MTf a promising therapeutic target. This study aimed to develop a novel, selectively targeted antibody–drug conjugate (ADC) against MTf-expressing melanoma and TNBC cancer cells using SNAP-tag fusion protein conjugation technology. Methods: We generated an L49(scFv)-SNAP-tag antibody fusion protein engineered through the genetic fusion of a humanized anti-MTf single-chain variable fragment (scFv) with a SNAP-tag fusion protein capable of site-specific self-labelling with O⁶-benzylguanine (BG) modified substrates in 1:1 stoichiometry. Binding and internalization of the conjugate labeled with BG-Alexa 488 (L49(scFv)-SNAP-Alexa488) were assessed by confocal microscopy and flow cytometry in MTf-overexpressing cell lines. Cytotoxicity was evaluated using the cell viability XTT assay after conjugating the SNAP-fusion protein to the potent monomethyl auristatin-F (BG-AURIF). Results: The L49(scFv)-SNAP-Alexa488 conjugate demonstrated specific binding and internalization into MTf-positive melanoma and TNBC cells. The corresponding ADC, L49(scFv)-SNAP-Linker-AURIF, exerted potent, antigen and dose-dependent cytotoxicity, with IC₅₀ values in the nanomolar range (4.77–34.43 nM). Conclusions: We successfully generated a novel SNAP-tag-based ADC that selectively eliminates MTf-overexpressing tumor cells. This proof-of-concept highlights MTF’s value as a therapeutic target and demonstrates that a smaller-format, non-cleavable linker SNAP-tag-based ADC can achieve potent nanomolar cytotoxicity, supporting further development of MTF-targeted immunotherapies for melanoma and TNBC. Full article

Background: Ovarian cancer is one of the most lethal gynecological malignancies, often diagnosed at an advanced stage. The prognosis is generally poor, with high recurrence rates and limited long-term survival. Understanding the genetic and molecular mechanisms underlying ovarian cancer is crucial for improving early diagnosis, developing targeted therapies, and enhancing patient outcomes. Methods: In this study, the clinical molecular reports of 50 ovarian cancer patients referred to the experimental cancer unit at Herlev Hospital were analyzed. The aim was to assess the number of patients being potential candidates for targeted biological therapy. Additionally, using the reports, we aimed to identify patients with potential germline mutations in cancer-predisposing genes. The possible consequences were annotated using gene lists from four hospitals in Denmark. Each hospital had its own distinct, published gene list, reflecting the genes that it considered potential carriers of germline mutations predisposing to cancer. Results: A total of twenty out of fifty patients (40%) had targetable biomarkers for biological treatment. CCNE1 amplification was identified as the most frequent variant (43%). Seven out of fifty patients (14%) had potential germline mutations in cancer-predisposing genes. Conclusions: In conclusion, the finding of a potential germline mutation in the SMARCA4 gene highlights how differences in hospital-specific gene lists may impact patient referral for genetic counseling. Full article

Hematological malignancies such as acute myeloid leukemia (AML), chronic myeloid leukemia (CML), lymphomas, and multiple myeloma remain difficult to model ex vivo because conventional two-dimensional (2D) cultures and murine systems fail to reproduce the spatial, metabolic, vascular, and immune complexity of human bone marrow and lymphoid niches. Recent advances in three-dimensional (3D) platforms—including spheroids, engineered organoid-like marrow models, and microfluidic niche-on-a-chip systems—now allow for a more physiological replication of stromal, endothelial, and immune interactions that drive resistance and relapse. In this review, we introduce explicit definitions distinguishing spheroids, organoid-like constructs, true hematopoietic organoids, and microfluidic devices to establish a unified framework for hematologic 3D modeling. We synthesize applications across AML, CML, lymphoma, and myeloma, highlighting mechanistic insights, strengths, and limitations unique to each disease. Finally, we outline a translational roadmap that integrates bioprinting, perfusable vasculature, immune reconstitution, and AI-driven analytics toward next-generation patient-specific platforms. These innovations position 3D marrow-mimetic systems as essential tools for precision oncology in blood cancers. Full article

Background: Colorectal cancer (CRC) is a major contributor to cancer-related mortality globally. Despite significant advances in therapeutic strategies, CRC continues to exhibit high recurrence rates. This underscores the urgent need for reliable, non-invasive biomarkers to improve diagnostic precision, early detection, and clinical outcomes. Methods: Gene expression datasets from the GEO database were analyzed to identify differentially expressed genes between CRC and normal tissue samples. Hub genes were identified through an integrative approach combining module membership, gene significance, differential expression, and network centrality. Prognostic significance was assessed via overall survival analysis, and diagnostic utility through ROC curve and AUC. Further integrative analysis included immune cell infiltration, promoter methylation, genetic alterations, and regulatory network construction. Results: An integrated approach identified 989 candidate hub genes. Of these, 128 genes demonstrated significant prognostic potential: 67 were associated with poor overall survival and 61 with favorable outcomes. These genes exhibited patterns of co-expression and positive correlations with immune cell infiltration, particularly B cells, dendritic cells, macrophages, mast cells, and monocytes. Twenty-three hub genes, including MACC1, YEATS4, HMMR, TIGD2, CENPE, GNL3, GMPS, NCAPG, RRM1, DLGAP5, YARS2, CCT8, MET, ZWILCH, KPNA2, KIF15, TRUB1, AURKA, NUDT21, PBK, TOMM20, KIAA1549, and MCM4, showed high diagnostic accuracy in distinguishing CRC from normal tissues. Furthermore, 18 hub genes exhibited statistically significant differential promoter methylation and may serve as promising candidates for epigenetic biomarkers in CRC. Conclusions: Our findings provide a strong foundation for developing more accurate multi-gene prognostic and diagnostic panels and personalized therapies for CRC, with the goal of improving clinical outcomes and reducing the global burden of this disease. Full article

Gallbladder cancer (GBC), an aggressive malignancy of the biliary tract, is characterized by pronounced geographical variation and a poor prognosis, with a five-year survival rate below 20%. Despite its low global incidence, it ranks as the fifth most prevalent gastrointestinal cancer. The aim of this review is to provide a comprehensive understanding of the molecular mechanisms underpinning GBC progression, with a particular focus on the pivotal role of transcription factors (TFs) in its pathogenesis. This review delineates how aberrant regulation of TFs contributes to tumor initiation, progression, and therapeutic resistance, and to discuss the translational potential of targeting these factors for clinical benefit. Tumor suppressor TFs such as p53 and p16 frequently undergo genetic alterations, including mutations, deletions, or epigenetic silencing, leading to impaired cell cycle control, DNA repair, and apoptosis. Conversely, oncogenic TFs including TCF4, MYBL2, NF-kB, AP-1, Snail, c-MYC, SP1, FOXK1, KLF-5, STAT3 and BIRC7 are often upregulated in GBC, promoting unchecked proliferation, epithelial–mesenchymal transition (EMT), metastasis, and therapeutic resistance. This review aims to bridge current molecular insights with emerging therapeutic approaches, with particular emphasis on innovative interventions such as proteolysis-targeting chimeras (PROTACs), RNA-based therapeutics, CRISPR-driven genome editing, and epigenetic modulators, which collectively represent promising strategies for achieving more effective and personalized treatment outcomes in patients with GBC. Full article

The inflammatory milieu surrounding tumors plays a pivotal yet paradoxical role in promoting carcinogenesis. Rather than simply acting as a host defense mechanism, chronic low-grade inflammation actively nurtures tumor development and supports hallmarks such as sustained proliferative signaling, apoptosis resistance, angiogenesis, and metastasis. Obesity, characterized by a chronic inflammatory state, exacerbates this tumor-promoting environment through metabolic imbalances like insulin resistance, hyperglycemia, and dyslipidemia. These conditions stimulate oncogenic signaling pathways and reshape the tumor microenvironment. Obesity-associated cytokines, altered adipokines, and insulin-related growth signals synergistically enhance processes such as epithelial-to-mesenchymal transition (EMT) and matrix remodeling. This review explores the mechanistic interplay between obesity-induced inflammation and insulin resistance in cancer progression, discusses the molecular pathways involved, and highlights emerging therapeutic approaches targeting these intersecting tumor promotion axes. Full article

Background: Ovarian cancer remains a major contributor to cancer-related morbidity and mortality worldwide. Primary cytoreductive surgery is the cornerstone of treatment, and accurate preoperative assessment of tumor resectability is critical to guiding optimal therapeutic strategies in patients with advanced tubo-ovarian cancer. Methods: A narrative review about the role of ultrasound for assessing tumor spread and prediction of tumor resectability was performed. Results: The ISAAC study represents the largest prospective multicenter trial to date comparing the diagnostic performance of ultrasound (US), computed tomography (CT), and whole-body diffusion-weighted magnetic resonance imaging (WB-DWI/MRI) in predicting non-resectability, using surgical and histopathological findings as the reference standard. Key strengths of the study include the use of standardized imaging and intraoperative reporting protocols across ESGO-accredited high-volume oncologic centers. All three imaging modalities were performed within four weeks prior to surgery by independent, blinded expert operators. US demonstrated diagnostic accuracy comparable to that of CT and WB-DWI/MRI. The study also defined modality-specific thresholds for the Peritoneal Cancer Index (PCI) and Predictive Index Value (PIV), offering quantitative tools to support surgical decision-making. A noteworthy secondary finding was patient preference: in a cohort of 144 participants who underwent all three imaging modalities, nearly half preferred US, while WB-DWI/MRI was the least favored due to discomfort and examination duration. Conclusions: The ISAAC study represents a significant advancement in imaging-based prediction of surgical non-resectability in tubo-ovarian cancer. Its findings suggest that, in expert hands, ultrasound can match or even surpass cross-sectional imaging for preoperative staging, supporting its integration into routine clinical practice, particularly in resource-constrained settings. Full article

Colorectal liver metastases (CRLM) management remains a complex conundrum in the context of potential curable disease. The combination of systemic therapy and surgery, with overall survival outcomes up to 58% at five years, has become the gold standard. Locoregional therapies have gained evidence in complementing surgery or even substituting it in selected cases. Adequate patient selection is paramount, but prognostic models have certain limitations that prevent their full implementation in clinical practice. A plethora of prognostic factors exists, with variable evidence supporting their definitive role. Thus, CRLM management decisions frequently vary depending on multidisciplinary team experience and hospital access to systemic and locoregional treatments. Definition of resectability has evolved in recent years due to technical developments in surgical and non-surgical approaches. Complexity is added when trying to fully understand the integration between local and systemic treatment. Whereas evidence in the context of resectable disease has been attempted in several phase III trials, definitive conclusions regarding the best approach to potentially resectable disease cannot be drawn. In addition, liver transplantation has gained evidence and is proposed in selected patients, raising a challenge regarding its integration and wider implementation. In this review, current standards in the management of CRLM regarding patient selection, resectability, surgical and non-surgical locoregional strategies, as well as the best systemic approach are covered. Full article

Pancreatic cancer is expected to become the second leading cause of death by 2030 in Western countries. There is a need to pinpoint high-risk populations since extensive screening would be economically impractical. Methods: This study, conducted on liquid biopsies of patients affected by pancreatic ductal adenocarcinoma (PDAC), sequenced, by NGS, the main genes involved in pancreatic carcinogenesis. Results: The study was discontinued due to a low recruitment rate. NGS analysis, conducted on included patients, revealed the TP53 variant rs1042522 in 30 out of 35 patients, with a cytosine (C) replaced by a guanine (G), hence inserting an Arginine in the final protein instead of a Proline. The presence of the rs1042522 variant confers an odds ratio of 6.11 for PaC and an OR of 20 for homozygosity G/G when comparing our cohort of PaC patients to a healthy population from the 1000GenomeProject. Conclusion: These findings could identify a very-high-risk population deserving of being screened for PDAC, even though a wider validation of rs1042522 as a risk factor is needed. Impact: These preliminary data may open the way for identification of a population more prone to developing pancreatic cancer. Full article