Search Results (3,939)

MYC is a key oncogenic driver frequently overexpressed in non-small cell lung carcinoma (NSCLC) and other cancers, where its protein levels often exceed what would be expected from MYC mRNA levels alone, suggesting post-transcriptional regulation. Strategies to inhibit MYC function by targeting mRNA translation hold potential for therapeutics utility in Myc-dependent cancers. We developed TranslationLight, a high-content imaging platform which detects MYC mRNA translation in human cells. Using this system, we conducted a high-throughput screen of ~100,000 compounds to identify small molecules that selectively modulate MYC translation. Candidate compounds were evaluated by immunofluorescence, ribosome profiling, RNA sequencing, cellular thermal shift assays (CETSA), and subcellular localization studies of mRNA and RNA-binding proteins. We identified a lead compound, CMP76, that potently reduces Myc protein without substantially decreasing its mRNA abundance. Mechanistic investigations showed that the compound induces relocalization of MYC mRNA into stress granules, accompanied by translational silencing. CETSA identified hnRNPK as a primary protein target, and compound treatment triggered its cytoplasmic relocalization together with formation of hnRNPK-containing granules colocalizing with MYC mRNA. Analysis across cancer cell lines revealed that sensitivity to CMP76 was significantly associated with RBM42 dependency. This work establishes a novel therapeutic strategy to inhibit MYC translation mediated by hnRNPK, offering a translationally targeted approach to cancer therapy. Full article

Background: Gefitinib is a third-generation epidermal growth factor receptor tyrosine kinase inhibitor (EGFR-TKI) targeting EGFR-mutated non-small cell lung cancer (NSCLC) and is a current first-line treatment for NSCLC. However, acquired resistance leads to the failure of treatment and remains a challenge. Therefore, identifying novel therapeutic approaches to combat EGFR-TKI resistance is crucial. Methods: The Cancer Genome Atlas (TCGA) database analysis and gefitinib-resistant cell lines were used to analyze VDR expression in NSCLC. Cell proliferation and apoptosis were assessed via MTT assay, colony formation assay, and flow cytometry. Immunofluorescence, qPCR, and Western blotting were used to measure mRNA and protein expression levels of VDR and other related molecules. Xenograft tumors in BALB/c nude mice were employed to investigate the effects of VDR and 1,25-dihydroxyvitamin D3 (1,25(OH)₂D₃) on gefitinib-resistant tumors in vivo. Results: We found that VDR was significantly upregulated in EGFR-TKI-resistant NSCLC cells. Patients with high VDR expression exhibited poor prognosis. VDR knockdown significantly inhibited cell proliferation, tumor growth, and reduced gefitinib resistance, whereas VDR overexpression enhanced resistance. VDR knockdown downregulated EGFR and FASN expression. Silencing either EGFR or FASN confirmed the existence of a positive feedback regulatory loop involving VDR, EGFR, and FASN. Treatment with 1,25(OH)₂D₃ increased VDR levels but decreased EGFR and FASN expression. VDR knockdown significantly enhanced the inhibitory effect of 1,25(OH)₂D₃ on gefitinib resistance. The combination of VDR knockdown and 1,25(OH)₂D₃ treatment was more effective than either treatment alone in suppressing EGFR and FASN expression. Conclusions: VDR promotes NSCLC resistance to EGFR-TKIs by regulating EGFR and FASN expression through a positive feedback loop. Knocking down VDR effectively enhances the ability of 1,25(OH)₂D₃ to overcome gefitinib resistance, mediated by the synergistic downregulation of EGFR and FASN expression. Targeting VDR represents a potential strategy to enhance the efficacy of 1,25(OH)₂D₃ in overcoming EGFR-TKI resistance. Full article

Immune checkpoint inhibitors (ICIs) are a key treatment for advanced non-small cell lung cancer (NSCLC), but most patients will ultimately experience disease progression due to acquired resistance to ICI. Clinically, it is relevant to differentiate between systemic progression (SP) and oligoprogression (OP). Following SP, ICI treatment is usually discontinued, while in OP, patients are preferably treated with local ablative treatment with continuation of the ICI treatment. However, with progressive disease, it remains difficult to differentiate between true OP or SP. Circulating tumor DNA (ctDNA) analysis provides an accurate real-time reflection of the tumor burden. It remains elusive if ctDNA abundance and/or dynamics can discriminate between OP and SP. Therefore, the aim of this exploratory cohort study is to evaluate whether the sequential molecular tumor profiling of ctDNA is suitable for discriminating between true OP and SP in advanced NSCLC. Patients with stage III/IV NSCLC showing progression after ≥3 months of ICI were included. OP was defined retrospectively by RECIST response ≥ 6 months after local treatment and continued ICIs. Serial plasma samples were analyzed using the AVENIO ctDNA Expanded NGS assay targeting 77 cancer-related genes. Twenty patients (6 OP, 14 SP) were included. Somatic alterations were detected in 16 patients (median 4 mutations). No significant differences in baseline ctDNA levels, changes at progression, or mutation patterns were observed between OP and SP. Although ctDNA levels generally decreased early after the start of ICI treatment, and were increased at disease progression, mutational profiles of the 77 genes using the AVENIO Expanded ctDNA panel did not distinguish OP from SP. Full article

Mistletoe (Viscum album L.) has been used in complementary cancer therapy for decades, but its mechanisms remained poorly understood until recently. This review synthesizes transformative advances in mistletoe cancer research from 2020 to 2025, focusing on newly discovered molecular mechanisms, immunomodulatory properties, and clinical applications. We conducted a comprehensive analysis of controlled studies, mechanistic investigations, and real-world evidence published between 2020 and 2025. The discovery of mistletoe-induced immunogenic cell death (ICD) represents a paradigm shift in understanding its anticancer effects. Mistletoe extracts trigger endoplasmic reticulum stress, leading to calreticulin exposure in 18–51% of cancer cells and a 7-fold increase in adenosine triphosphate (ATP) release. Three-dimensional culture models revealed enhanced macrophage reprogramming effects, with a 15.8% increase in pro-inflammatory interleukin (IL)-6 and a 26.4% reduction in immunosuppressive IL-10. Real-world evidence from over 400 non-small-cell lung cancer patients shows that combining mistletoe with programmed death-1/programmed death-ligand 1 (PD-1/PD-L1) inhibitors doubles median overall survival (6.8 to 13.8 months), with biomarker-selected populations experiencing up to a 91.2% reduction in death risk. The Johns Hopkins Phase I trial established intravenous administration safety at 600 mg three times weekly. Advanced analytical approaches including metabolomics, chronobiology, and machine learning are enabling precision medicine applications. These findings position mistletoe as a scientifically validated component of integrative oncology, bridging traditional medicine with evidence-based cancer care. Future research should focus on ferroptosis mechanisms, single-cell immune profiling, and standardized clinical protocols. Full article

Objectives: This study aimed to assess the precision of dose delivery to the target in adaptive carbon ion radiotherapy (CIRT) for locally advanced non-small cell lung cancer (LA-NSCLC) in cumulative dosimetry. Methods: Forty-six patients who received CIRT were included (64 Gy[relative biological effectiveness, RBE] in 16 fractions) with treatment plan computed tomography (CT) and weekly CT scans. Offline adaptive radiotherapy (ART) was administered if the dose distribution significantly worsened. Daily doses were calculated from weekly CTs and integrated into plan CT scans using deformable image registration. The dosimetry parameters were compared between the as-scheduled plan and adaptive replan in patients receiving ART. Survival outcomes and toxicity were compared between the ART and non-ART groups. Results: ART was implemented for 27 patients in whom adaptive replans significantly increased the median V_98% of the clinical tumor volume from 96.5% to 98.1% and D_98% from 60.5 to 62.7 Gy(RBE) compared with the as-scheduled plans (p < 0.001). The conformity and uniformity of the dose distribution improved (p < 0.001), with no significant differences in the doses to normal tissues (lungs, heart, esophagus, and spinal cord) from the as-scheduled plans (p > 0.05). The ART and non-ART groups demonstrated comparable local control, progression-free survival, and overall survival (p > 0.05). No grade 3 or higher radiation-related toxicities were observed. Conclusions: ART enhanced target dose coverage while maintaining acceptable normal tissue exposure, supporting weekly CT monitoring integration during CIRT for the timely intervention for anatomical variations, ensuring precise dose delivery in LA-NSCLC. Full article

Background: Accurate and timely molecular testing in patients with non-small cell lung cancer (NSCLC) is mandatory for targeted therapies and improved outcomes. Real-world obstacles, including geographic distance from specialized lung cancer services, along with comorbidities, may delay molecular diagnosis and subsequent treatment, therefore hampering survival. Methods: We conducted a retrospective, multi-departmental observational study of 927 patients with newly diagnosed NSCLC that were referred to a tertiary hospital in western Greece between January 2021 and December 2024. Patients were classified based on distance of residence (<30 km vs. ≥30 km). Clinical characteristics, time elapsed from pathological to final molecular diagnosis, and survival outcomes were analyzed and compared. Multivariable Cox regression was used to identify independent predictors of overall survival. Results: Patients residing ≥30 km away (61.2%) experienced delays in molecular testing (median 31 vs. 26 days, p = 0.002) and were less likely to undergo such testing (p = 0.012) compared to those residing <30km. Patients residing >30 km also had a higher prevalence of COPD (42.5% vs. 31.2%, p = 0.002). Median survival from initial pathological diagnosis to death was significantly shorter in non-urban patients (129 vs. 215 days, p = 0.010). A molecular testing delay >35 days was independently associated with worse survival (HR = 0.684, 95% CI: 0.508–0.923, p = 0.013). No differences in TNM stage distribution were observed between geographical groups. Conclusions: Geographic disparities significantly impact access to advanced lung cancer services and molecular diagnostics and may provisionally affect prognosis in NSCLC. Improving testing pathways, incorporating reflex testing in pathological molecular analysis, and optimizing referral systems in rural areas may help to reduce inequalities and improve patient outcomes. Full article

Background: EphA2 is a receptor tyrosine kinase that contributes to tumor growth and metastasis and has been identified as a viable target for many solid cancers. Investigating EphA2’s impact on the host immune system may advance our understanding of tumor immune evasion and the consequences of targeting EphA2 on the tumor microenvironment. Methods: Here, we examine how tumor-specific EphA2 affects the activation and infiltration of immune cell populations and the cytokine and chemokine milieu in murine models of non-small cell lung cancer (NSCLC). Results: Although EphA2 overexpression in NSCLC cells did not display proliferative advantage in vitro, it conferred a growth advantage in vivo. Analysis of lung tumor infiltrates via flow cytometry revealed decreased natural killer and T cells in the EphA2-overexpressing tumors, as well as increased myeloid populations, including tumor-associated macrophages (TAMs). T-cell activation, particularly in CD8+ T cells, was decreased, while PD-1 expression was increased. These changes were accompanied by increased monocyte-attracting chemokines, specifically CCL2, CCL7, CCL8, and CCL12, and immunosuppressive proteins TGF-β and arginase 1 in RNA expression analyses. Conclusions: Our studies suggest EphA2 on tumor cells recruits monocytes and promotes their differentiation into TAMs that likely inhibit the activation and infiltration of cytotoxic lymphocytes, promoting tumor immune escape. Full article

Combining immune checkpoint inhibitors (ICIs) and anti-angiogenic pharmacologic agents is an encouraging therapeutic approach in the treatment of non-small cell lung cancer (NSCLC). Currently, the only FDA-approved therapy combining an immune checkpoint inhibitor and a vascular endothelial growth factor (VEGF) inhibitor is atezolizumab, bevacizumab, and chemotherapy in first-line metastatic NSCLC patients. However, the combination of nivolumab, a programmed death-1 (PD-1) inhibitor, and bevacizumab has also shown encouraging results in patients with NSCLC with minimal adverse effects, respectively. This communication aims to highlight the efficacy of nivolumab and bevacizumab in NSCLC patients without sensitizing mutations in epidermal growth factor receptor (EGFR), anaplastic lymphoma kinase (ALK), or ROS proto-oncogene 1 (ROS1). In addition, the combination of nivolumab/atezolizumab and bevacizumab with other therapeutic agents is also discussed. We also underscore the adverse effects and limitations of such combinations in NSCLC patients. Future studies should focus on large-scale trials and biomarker identification to establish the benefits of these combination therapies in NSCLC patients. Full article

Objectives: To evaluate outcomes of patients undergoing lung segmentectomy using open thoracotomy, Video-Assisted Thoracoscopic Surgery (VATS), or Robotic-Assisted Thoracoscopic Surgery (RATS) approaches. Methods: A total of 157 patients (mean age: 68.7 years; 58% male) who underwent lung segmentectomy from 2015 to 2024 at the Thoracic Surgery of Siena were retrospectively enrolled and divided into groups based on the surgical approach: thoracotomy (n = 60), VATS (n = 58), and RATS (n = 39). No significant differences were observed between groups in terms of age, gender, or tumor stage. Peri-operative outcomes, and, in patients with non-small cell lung cancer (NSCLC, n = 104), long-term outcomes, were analyzed. Group comparisons were conducted using Kruskal–Wallis, Dunn’s test, Chi-squared, or Fisher’s exact test and Kaplan–Meier analysis with log-rank test. Results: Conversion rate was 13% and 0% for VATS and RATS, respectively (p = 0.005). Pleural effusion on first post-operative day was lower in RATS than VATS (p = 0.0006) and open (p < 0.0001). The maximum Visual Analogue Scale (VAS) value recorded was lower in RATS than open (p = 0.016) and VATS (p = 0.013). Surgery time was longer for RATS than open (p = 0.001) and VATS (p = 0.013). No differences were found in hospital stay and post-operative complications. In patients with NSCLC, the median follow-up was 25 months. The 90-day mortality rate was 9.5% in thoracotomy, 0% in VATS and RATS (p = 0.05). The 1- and 2-year overall survival was higher in VATS and RATS groups than thoracotomy (p = 0.001 and p = 0.040, respectively). The number of harvested lymph nodes was larger in the open group (p = 0.010), while a higher number of stations were harvested in RATS and open than VATS (p = 0.001). No differences were found in local recurrence (p= 0.08). Conclusions: RATS segmentectomy ensures a lower conversion rate, less post-operative pain, reduced daily pleural effusion, and a greater number of harvested lymph node stations compared to VATS, providing comparable peri-operative outcomes. RATS and VATS segmentectomy offer an advantage over the open approach in short- and long-term survival. Full article

Platinum-based complexes, as one of the mainstay chemotherapeutic agents in oncology, have evolved from first-generation Cisplatin to third-generation Oxaliplatin, with numerous platinum complexes currently under clinical investigation. This review systematically evaluates all existing platinum complexes for lung cancer treatment, including three generations of approved agents and investigational candidates, with comprehensive analysis of therapeutic efficacy and toxicity profiles. Our assessment aims to provide novel insights for developing next-generation platinum complexes with optimal therapeutic potential. Full article

Background/Objectives: Immunotherapy is a viable therapeutic approach for non-small cell lung cancer (NSCLC). Despite the significant survival benefit of immune checkpoint inhibitors PD-1/PD-L1, on average; the objective response rate is around 20% as monotherapy and around 50% in combination with chemotherapy. While PD-L1 IHC is used as a predictive biomarker, its accuracy is subpar. Methods: In this work, we develop a machine learning (ML) method to predict response to immunotherapy in NSCLC from multimodal clinicopathological biomarkers, tumor and peritumoral radiomic biomarkers from CT images. We further learn a graph structure to understand the associations between biomarkers and treatment response. The graph is then used to create sentences with clinical hypotheses that are finally used in a Large Language Model (LLM) that explains the treatment response predicated on the biomarkers that are comprehensible to clinicians. From a retrospective study, a training dataset of NSCLC with n = 248 tumors from 140 subjects was used for feature selection, ML model training, learning the graph structure, and fine-tuning LLM. Results: An AUC = 0.83 was achieved for prediction of treatment response on a separate test dataset of n = 84 tumors from 47 subjects. Conclusions: Our study therefore not only improves the prediction of immunotherapy response in patients with NSCLC from multimodal data but also assists the clinicians in making clinically interpretable predictions by providing language-based explanations. Full article

Background/Objectives: PROX1 (prospero homeobox 1) is a transcription factor involved in lymphangiogenesis and cellular differentiation. Its role in cancer biology appears to be highly context-dependent, with it exhibiting both tumor-promoting and -suppressive functions across various malignancies. Nonetheless, the clinical significance of PROX1 expression in non-small cell lung cancer (NSCLC) remains poorly elucidated. The objective of this study is to evaluate the immunohistochemical expression of PROX1 in NSCLC, specifically in the adenocarcinoma and squamous cell carcinoma subtypes, and to assess its correlation with clinicopathologic features and overall survival (OS). Methods: This retrospective study included surgically resected specimens from 121 patients with histologically confirmed NSCLC. PROX1 expression was assessed via immunohistochemistry on formalin-fixed, paraffin-embedded specimens. Staining intensity (graded 0– National and Kapodistrian University of Athens 3) and the percentage of positive tumor cells were recorded. Correlations with histological subtype, tumor characteristics, and OS were analyzed using chi-square tests, one-way ANOVA, and Kaplan–Meier survival analysis with log-rank testing. Results: Low PROX1 intensity (level 1) was significantly associated with P63 positivity (p = 0.028), while high PROX1 intensity (level 3) correlated with nodal metastasis to station 3 (S3+) (p = 0.025). Additionally, alveolar-pattern adenocarcinomas exhibited intermediate PROX1 expression (26–50%) (p = 0.010). Although PROX1 positivity did not differ among mucinous and non-mucinous adenocarcinomas (p = 0.152), its distribution across defined expression subgroups was statistically significant (p = 0.002). Tumors with low PROX1 expression (0–24%) were associated with a larger maximum tumor diameter (p = 0.026). PROX1 expression was not independently associated with OS (p > 0.05). Factors significantly associated with improved survival included an age < 50 years, female sex, the absence of necrosis, fewer than 10 positive lymph nodes, a lymph node ratio < 0.5, and the absence of extensive nodal involvement in stations 5, 10, 11, and 12. Conclusions: Although PROX1 expression is variably associated with specific histologic subtypes and nodal metastases in NSCLC, it does not independently predict overall survival. Its expression patterns suggest a potential role in tumor differentiation and lymphatic spread. Further mechanistic and immunologic studies are warranted to elucidate the functional significance of PROX1 in lung cancer biology. Full article

Background: Advances in screening programs have led to increased detection of early-stage non-small cell lung cancer (NSCLC), including synchronous or metachronous nodules amenable to surgical resection. Patients requiring contralateral anatomical lung resections present a unique surgical challenge due to potential impairments in lung function and the complexities of one-lung ventilation. This study evaluates the feasibility, safety, and perioperative outcomes of robotic-assisted thoracic surgery (RATS) for contralateral anatomical lung resections in patients with NSCLC. Methods: A retrospective analysis was conducted on 20 patients who underwent RATS contralateral anatomical resection between January 2019 and June 2024. Preoperative pulmonary function, perioperative characteristics, and oncological outcomes were assessed. Operative parameters, including conversion rates, intraoperative oxygenation, need for extracorporeal membrane oxygenation (ECMO), and postoperative complications, were recorded. Results: Seventy percent of the patients underwent surgery for metachronous tumors. The median forced expiratory volume in 1 s (FEV1) was 75.94% (66.62–89.24). The most common resection was segmentectomy (65.0%). The median operative time was 148.0 min (108.0–194.75). There were no conversions to open surgery or ECMO requirements. Intraoperative parameters remained stable (median FiO₂: 0.8; lowest SaO₂: 92.0%). Complications occurred in 25% of the patients, mostly Clavien–Dindo grade 2. No in-hospital, 30-day, or 90-day mortality was observed. Conclusions: Robotic-assisted contralateral anatomical lung resection is a feasible and safe approach for patients with previous contralateral surgery, supporting its role as a minimally invasive alternative for complex surgical cases. Full article

Steroid hormones play critical roles in the development and progression of NSCLC through both genomic and non-genomic pathways. This review summarizes the expression profiles and molecular functions of estrogen, progesterone, androgen, and glucocorticoid receptors in NSCLC. Estrogen and progesterone receptors exhibit gender-specific prognostic significance, while glucocorticoid receptors influence tumor growth and immune responses. Emerging evidence supports the use of anti-estrogen therapies and glucocorticoids as adjuncts to existing treatment strategies, including immunotherapy. The crosstalk between hormone signaling and oncogenic pathways such as EGFR or immune checkpoints offers opportunities for novel combination therapies. However, challenges remain in biomarker development, drug resistance, and managing the dual effects of glucocorticoids. A deeper understanding of hormone–tumor–immune interactions is essential to optimize hormone-targeted interventions in NSCLC. Full article

Objectives: Non-small cell lung cancer (NSCLC), the most prevalent type of lung cancer, includes subtypes such as adenocarcinoma (ADC) and squamous cell carcinoma (SCC), which require distinct management approaches. Accurately differentiating NSCLC subtypes based on diagnostic imaging remains challenging. However, the extraction of radiomic features—such as first-order statistics (FOS), second-order statistics (SOS), and fractal dimension texture analysis (FDTA) features—from magnetic resonance (MR) images supports the development of quantitative NSCLC assessments. Methods: This study aims to evaluate whether the integration of FDTA features with FOS and SOS texture features in MR image analysis improves machine learning classification of NSCLC into ADC and SCC subtypes. The study was conducted on 274 MR images, comprising ADC (n = 122) and SCC (n = 152) cases. From the segmented MR images, 93 texture features were extracted. The random forest algorithm was used to identify informative features from both FOS/SOS and combined FOS/SOS/FDTA datasets. Subsequently, the k-nearest neighbors (kNN) algorithm was applied to classify MR images as ADC or SCC. Results: The highest performance (accuracy = 0.78, precision = 0.81, AUC = 0.89) was achieved using 37 texture features selected from the combined FOS/SOS/FDTA dataset. Conclusions: Incorporating fractal descriptors into the texture-based classification of lung MR images enhances the differentiation of NSCLC subtypes. Full article