Cancer Medicine

ABSTRACT BACKGROUND: Next-generation sequencing (NGS) and the development of targeted therapies have revolutionized cancer treatment. Molecular Tumour Boards (MTB) serve as collaborative platforms to integrate individual clinical and molecular information to make recommendations for personalized treatment. METHOD: This is a single-center, retrospective cohort study of patients presented at the Jewish General Hospital (JGH) MTB between July 2018 and Dec 2022. Clinical, molecular/pathologic data, MTB recommendations, and treatment details were collected. Treatment response was determined by radiological evaluation and physician clinical assessment. Fishers exact test and Log-rank tests were used to assess differences between groups. RESULTS: A total of 328 patients were presented to the MTB, including 23 with repeat presentations, resulting in 355 case reviews. Tumour-agnostic biomarkers were detected in 18.9% of cases, most commonly high tumour mutational burden (TMB, 9.5%) and HER2 amplification (4.3%). The most frequent actionable mutations were PIK3CA (19.8%) and PTEN (13.1%), often leading to recommendations for mTOR inhibitor therapy (26.0%). Overall, therapeutic recommendations were issued in 84.5% (300/355) of cases, and implemented in 43.3% (130/300). Patients who received MTB-recommended therapies achieved significantly higher objective response rates (ORR) (14.2% vs. 4.2%; P = 0.047), longer real-world progression-free survival (rwPFS) (5.6 vs. 3.5 months; HR 0.57; 95% CI 0.390 - 0.828; P = 0.003), and improved median overall survival (OS) (12.8 vs. 5.2 months; HR 0.60, 95% CI 0.452 - 0.793; P < 0.001) compared with those treated without MTB guidance. CONCLUSION: MTB is effective in identifying biomarker-matched therapeutic recommendations for advanced malignancies where limited standard-of-care treatment option is available.

Background: Stroke risk is increased in cancer patients, but variations by stroke type, cancer characteristics, and treatment timing remain incompletely characterized. We investigated stroke incidence after cancer diagnosis and temporal patterns of ischemic stroke around treatments. Methods: We conducted a retrospective multicenter cohort study using linked cancer registry and administrative data from 68 cancer hospitals in Osaka, Japan. Patients diagnosed between 2019 and 2022 were followed for up to 1 year. In diagnosis-based analyses, standardized incidence ratios (SIRs) compared stroke incidence with the general population. In treatment-based analyses, ischemic stroke incidence rates and adjusted incidence rate ratios (IRRs) were estimated from 14 days before through 365 days after cancer treatments (surgery, chemotherapy, or radiotherapy). Results: Among 190,471 patients, 1660 strokes occurred: 1296 (78.0%) ischemic strokes, 315 (19.0%) intracerebral hemorrhages, and 49 (3.0%) subarachnoid hemorrhages. In diagnosis-based analyses, the overall stroke SIR was 2.13 (95% CI, 2.03?2.24), with a 1.01% 1-year cumulative incidence. SIRs were 2.37 (95% CI, 2.24?2.50), 1.72 (95% CI, 1.53?1.92), and 1.22 (95% CI, 0.91?1.62) for ischemic stroke, intracerebral hemorrhage, and subarachnoid hemorrhage, respectively. SIRs peaked immediately after diagnosis and declined thereafter. Excess risk persisted through 180 days for ischemic stroke, 30 days for intracerebral hemorrhage, and 7 days for subarachnoid hemorrhage. In treatment-based analyses, ischemic stroke incidence increased transiently around treatments. After surgery, the adjusted IRR peaked during days 0?7 (12.27 [95% CI, 8.50?17.71]) and remained elevated through days 31?90 versus days 181?365. A postoperative increase was observed even in early-stage disease. For chemotherapy, incidence was relatively high before treatment initiation. Conclusions: Stroke risk after cancer diagnosis varied by stroke type, cancer characteristics, and time since diagnosis. Ischemic stroke incidence increased transiently around cancer treatment, including an early postoperative increase in patients with early-stage disease. These findings identify periods and patient groups that may warrant heightened clinical vigilance.

PurposeTo identify dietary patterns among adult childhood cancer survivors (CCSs), examine their determinants, and assess whether they differ according to cardiovascular disease (CVD) risk profiles. MethodsCCSs from the Swiss Childhood Cancer Survivor Study diagnosed before age 21 years (1976-2005), surviving [&ge;]5 years and aged [&ge;]18 years in 2017, completed a food frequency questionnaire (SCCSS-Nutrition). Factor and hierarchical cluster analyses of 52 food groups identified dietary patterns. We categorised CCSs as having CVD, CVD risk factors (obesity, hypertension, diabetes, high cholesterol), or being CVD risk-free. Multinomial logistic regression assessed associations between dietary patterns and CVD risk profiles. ResultsAmong 802 CCSs (median age: 35 years; IQR: 29-41; 50% male), we identified five dietary patterns: Mediterranean-inspired diet (22%), Western indulgence diet (38%), Western sweet & fatty diet (26%), restrained indulgence diet (9%), plant-based & alcohol-rich diet (6%). Male sex, younger age, German-speaking region, smoking, and living with others were associated with Western indulgence, Western sweet & fatty, and restrained indulgence diets. Higher Swiss socioeconomic position (Swiss-SEP) and education, and not having children, were associated with the plant-based & alcohol-rich diet, higher Swiss-SEP was also associated with the Western indulgence diet. No associations were observed between dietary patterns and CVD risk profiles. ConclusionsDietary patterns among adult CCSs were socially patterned and differed according to sociodemographic and lifestyle characteristics, but were not associated with CVD risk profiles. Implications for Cancer SurvivorsDietary counselling and broader lifestyle support should be considered as part of long-term survivorship care for CCSs.

Objectives Contemporary oncology has achieved remarkable advances in biomedical treatment while increasingly emphasizing patient-centered care. Nevertheless, routine oncology consultations must address multiple competing clinical priorities, potentially limiting opportunities for patients' experiences to become visible. To address this gap, we established a Dialogue-Based Outpatient Clinic, a complementary patient-directed consultation model embedded within routine oncology care. This study explored the dimensions of patients' experiences that became visible through this consultation model. Methods We conducted a qualitative study of 44 consecutive patients who attended a Dialogue-Based Outpatient Clinic embedded within routine oncology care between 2021 and 2023. Patients attended the clinic either on their own initiative or following a recommendation from a healthcare professional who recognized that they were struggling. Regardless of how they came to the clinic, patients independently determined the consultation agenda. Results Of the 44 patients, 13 (29.5%) sought biomedical information regarding diagnosis, treatment, or adverse effects, whereas 31 (70.5%) discussed concerns extending beyond biomedical issues. Reflexive thematic analysis of these 31 patients identified four interconnected themes: (1) making sense of a cancer diagnosis within one's own life; (2) negotiating treatment in relation to personal values and life priorities; (3) being treated for disease but not seen as a person; and (4) reconstructing life and identity through the cancer journey. Across all themes, patient-directed dialogue consistently revealed how patients understood cancer within the broader context of their lives rather than as an isolated biomedical condition. Conclusions Patient-directed dialogue within routine oncology care revealed dimensions of patients' experiences that may be less readily recognized in conventional consultations. A complementary consultation model that allows patients to determine the agenda may provide opportunities for these experiences to become clinically recognizable.

Chronic alcohol consumption is associated with increased breast cancer risk; however, the long-term effects of alcohol exposure on DNA damage response (DDR) signaling and therapeutic vulnerability in breast epithelial cells remain incompletely understood. In the present study, we established a chronic alcohol exposure model using immortalized human breast epithelial MCF-10A cells to investigate persistent alterations in DNA damage signaling and sensitivity to poly (ADP-ribose) polymerase (PARP) inhibition. MCF-10A cells that chronically exposed to 0.2% alcohol for 20 weeks and then withdrew alcohol treatment for 4 weeks still retained elevated {gamma}H2AX levels and sustained activation of ATM/ATR-associated DDR pathways. Chronic alcohol-exposed cells also exhibited increased sensitivity to the PARP inhibitors olaparib and veliparib, as demonstrated by reduced cell viability, decreased clonogenic survival, and enhanced apoptosis. Mechanistically, olaparib induced greater G2/M checkpoint activation and replication-associated DNA damage in chronic alcohol-exposed cells compared with control cells. In addition, chronic alcohol exposure increased PARP expression and enhanced activation of DDR signaling following PARP inhibition. These findings demonstrate that chronic alcohol exposure induces persistent DNA repair stress and sensitizes breast epithelial cells to PARP inhibition. Our study suggests that chronic alcohol-associated genomic stress may create potential vulnerability to PARP inhibition.

Background: Adjuvant therapy decision in early-stage node-negative breast cancer remains one of the most challenging problems in oncology. Although most patients in this population achieve favorable outcomes with endocrine therapy alone, a subset remains at risk of relapse and may benefit from chemotherapy. Accurate identification of high-risk and low-risk patients is therefore essential to prevent both undertreatment and overtreatment. Methods: In this study, machine learning models were assessed using MSK-IMPACT (n=645) and METABRIC (n=503) cohorts comprising node-negative stage I-II breast cancer patients. Three experimental settings were evaluated: training on MSK-IMPACT and testing on METABRIC, the reverse direction, and five-fold cross-validation on the combined cohort. Sensitivity analysis and data harmonization were applied to identify and mitigate cohort-specific bias. Survival analysis, SHapley Additive exPlanations (SHAP) interpretability, and ablation analyses were performed to validate clinical relevance and characterize feature contributions. Results: The combined cohort model achieved an area under the receiver operating characteristic curve (AUC) of 0.788{+/-}0.028 across five-fold cross-validation, while bidirectional cross-cohort validation yielded AUC of 0.741 when testing on MSK-IMPACT and AUC of 0.714 when testing on METABRIC. Survival validation on METABRIC out-of-fold predictions from the combined cohort model showed hazard ratios of 3.01 (95\% CI: 2.28-3.98) for disease-free survival and 2.35 (95\% CI: 1.79-3.09) for overall survival, consistent across Luminal A, Luminal B, and Triple-Negative subtypes. Conclusion: Validated across two geographically independent cohorts, the proposed model enables cost-effective, gene expression-free identification of patients at high-risk of distant relapse and may facilitate adjuvant chemotherapy decision-making in early-stage node-negative breast cancer.

Chimeric antigen receptor (CAR) T cells are patient-derived T cells engineered to recognize specific antigens on malignant cells, representing a major breakthrough in personalized cancer immunotherapy. While CAR-T cell therapy is an established treatment for relapsed or refractory hematologic malignancies, understanding the rationale and methodology behind its development is essential for training the next generation of oncology researchers. Here, we describe a novel, hands-on small-enrollment laboratory course designed to teach upper-level undergraduate and graduate students about immunotherapies and CAR-T cell technology by paralleling a typical bench-scale development process. Students isolated T cells from porcine peripheral blood mononuclear cells (PBMCs) via immunomagnetic selection, followed by flow cytometry to assess purity, viability, and yield. Students then used pre-engineered B7H3 CAR-T cells to perform co-culture assays with U87 glioblastoma cells to evaluate tumor cell killing efficacy. Cytotoxicity was qualitatively evaluated using immunofluorescence microscopy, while IFN-gamma release was quantified using Enzyme-linked Immunosorbent Assay (ELISA). Student performance was evaluated through electronic laboratory notebooks, discussion questions, a capstone project, and student-generated data. Our results demonstrate students high academic performance across assignments and the successful execution of complex laboratory workflows. Collectively, these findings establish the feasibility and implementation of a research-integrated curriculum providing foundational exposure to immuno-oncology research tools and CAR-T cell production techniques.

Background: Cancer patients face a significantly elevated risk of severe COVID-19 outcomes. Although vaccination is a cornerstone of prevention, data on vaccination coverage and association with survival among Russian cancer patients remain scarce. We assessed COVID-19 vaccination coverage and its association with overall survival in a population-based cohort of cancer patients in Northwest Russia. Methods: This retrospective registry-based cohort study integrated data from the Population-Based Cancer Registry (PBCR) of the Arkhangelsk Region and the Nenets Autonomous Okrug, regional vaccination records, and an artificial intelligence (AI)-based analysis of chest computed tomography (CT) scans. The cohort consisted of 1,144 cancer patients who underwent CT between August 2020 and April 2021. Vaccination status was ascertained via data linkage. Overall survival (OS) was compared between vaccinated and unvaccinated patients using Kaplan-Meier analysis and multivariable Cox proportional hazards regression, adjusted for demographic, clinical, and AI-derived CT biomarkers. To mitigate immortal time bias, the primary analysis used a landmark approach restricted to patients alive on March1, 2021 (N=1,136). A sensitivity analysis used a November1, 2021 landmark (N=894). Vaccination status was defined as receipt of at least one dose before the landmark date. Results: Only 6.6% (n=76) of patients received at least one dose of a COVID-19 vaccine (Sputnik V or Sputnik Light). Vaccinated patients were more likely to have earlier-stage cancer and were less likely to be receiving active treatment. In the primary landmark analysis, vaccination was associated with a significantly higher 3-year OS (80.3% vs. 45.7%, p<0.001). In multivariable analysis, vaccination was independently associated with a 60% lower hazard of all-cause mortality (adjusted HR 0.40, 95% CI 0.25-0.64). AI-detected COVID-19 pneumonia on baseline CT was also an independent predictor of poorer survival (adjusted HR 1.32, 95% CI 1.09-1.59). In the sensitivity analysis (November1, 2021 landmark), the adjusted HR for vaccination was 0.56 (95% CI 0.34-0.92), showing a consistent but attenuated association. Conclusion: This study reveals critically low COVID-19 vaccination coverage among cancer patients in Northwest Russia. Nevertheless, vaccination was strongly associated with a substantial survival benefit, underscoring its importance as a potentially lifesaving intervention for this vulnerable population.

Deep learning (DL) applied to haematoxylin and eosin (H&E)-stained pathology images can predict microsatellite instability (MSI) in gastric cancer (GC). We evaluated its diagnostic accuracy and discriminative performance. PubMed, Embase, Cochrane Library and Web of Science were searched for studies applying DL to H&E images for MSI prediction in GC. The protocol was prospectively registered in PROSPERO (CRD420261503140). Risk of bias was assessed with QUADAS-2. Pooled sensitivity and specificity were estimated with a bivariate random-effects model, with subgroup analyses by validation strategy and data source; slide-level areas under the curve (AUCs) were pooled after logit transformation. Prespecified scenario analyses assessed robustness. Ten studies were included; seven independent datasets from six studies entered the primary synthesis. Pooled sensitivity, specificity and summary receiver operating characteristic AUC were 0.78 (95% CI 0.63-0.88), 0.85 (95% CI 0.77-0.90) and 0.89 (95% CI 0.86-0.91); nine studies contributed to the secondary AUC synthesis (pooled AUC 0.85, 95% CI 0.80-0.89). Hospital-derived cohorts showed numerically higher sensitivity (0.86) and diagnostic odds ratio (39.8) than TCGA-derived cohorts (0.71 and 11.5), but subgroup differences were limited by the small number of studies and substantial heterogeneity. DL models show good diagnostic accuracy for MSI prediction in GC, but clinical utility still requires confirmation in standardised multicentre, independent external and prospective studies.

Ovarian cancer stands out as one of the most lethal gynecological cancers among women in the United States. While patients with ovarian cancer often show positive responses to treatment, it is common for the cancer to reappear and develop resistance to treatment, so it is important to explore and create novel combinations to increase patient survival rates. ATRi (Ataxia telangiectasia and Rad3-related inhibitors) and ONC201 monotherapies have shown efficacy in ovarian cancer in preclinical models. We hypothesized that combining ATRi with ONC201 would enhance this efficacy. ONC201 induces apoptosis through the TRAIL-pathway following activation of the integrated stress response and inactivation of Akt which is upregulated in ovarian cancer. Six human ovarian cancer cell lines were treated alone and with the novel drug combination of ceralasertib (ATRi) and ONC201. We found an IC50 range of 0.88-20.16 microM for ONC201 and IC50 range of 0.55-54.75 microM for ceralasertib. The combination of ONC201 plus ceralasertib resulted in PARP cleavage consistent with apoptosis along with reduction in Bcl-XL, Xiap and p-Akt expression after 72 hours of treatment. Cytokine profiling showed a decrease in markers of inflammation and tumor progression. Our data provide evidence of synergy from the combination of ATRi ceralasertib and ONC201 against Ovarian cancer cells that merits further investigation including clinical translation.

Purpose: Metastatic pheochromocytoma and paraganglioma (PPGL) are rare neuroendocrine malignancies with limited systemic treatment options. Although inhibition of vascular endothelial growth factor (VEGF) signaling has demonstrated clinical benefit in metastatic PPGL, prospective data evaluating selective VEGF receptor inhibition remain limited. Axitinib is a potent and selective inhibitor of VEGFR-1, -2, and -3 with established activity in several solid tumors. We evaluated the efficacy and safety of axitinib in patients with progressive metastatic PPGL. Methods: Patients with progressive metastatic or unresectable PPGL were enrolled in a prospective, open-label, single-arm, phase II study (NCT03839498). Eligible patients had measurable disease according to RECIST version 1.1 and no prior treatment with a tyrosine kinase inhibitor. Axitinib was administered orally at an initial dose of 5 mg twice daily with protocol-defined dose modifications based on tolerability. The primary endpoints were objective response rate (ORR) and progression-free survival (PFS). Safety was assessed using the National Cancer Institute Common Terminology Criteria for Adverse Events (CTCAE). Results: Nineteen patients were enrolled, and 17 received study treatment. A confirmed partial response was achieved in 35.3% of treated patients. Median progression-free survival was 7.9 months (95% CI, 6.1-16.8 months), median duration of response was 7.4 months, median duration of treatment was 9.5 months, and median overall survival was 29 months. Hypertension, the most common treatment-related adverse event, occurring in 79% of patients, was effectively managed with antihypertensive therapy and dose modification. Other common treatment-related adverse events included fatigue, diarrhea, oral mucositis, and palmar-plantar erythrodysesthesia. No patient permanently discontinued treatment because of treatment-related toxicity. Conclusions: In patients with progressive metastatic PPGL, single-agent axitinib demonstrated clinically meaningful antitumor activity with a manageable safety profile. The observed efficacy compares favorably with sunitinib in this rare disease. The ability to maintain treatment despite predictable VEGF-associated toxicities suggests that axitinib represents a viable therapeutic option for patients with metastatic PPGL.

Objective: To determine how cohort versus nested case-control (NCC) design affects EHR-based prediction of a rare outcome. Materials and Methods: We compared two cohort and five NCC designs for predicting early-onset gastrointestinal cancer using L1-regularized logistic regression (LASSO), XGBoost, and multilayer perceptron (MLP). Models underwent nested five-fold cross-validation with model-specific hyperparameter tuning and temporal evaluation in a held-out prospective cohort representing intended deployment. Model discrimination was assessed using area under the receiver operating characteristic curve (AUROC) and area under the precision-recall curve (AUPRC). Model calibration was assessed using Brier scores and calibration plots before and after recalibration with isotonic regression. Feature-ranking similarity was quantified using rank-biased overlap. Results: The cohort development datasets included 256,854-415,529 patients, with 2-yr cumulative incidence of 0.12%-0.17%, compared with approximately 9% in the 1:10 matched NCC datasets. NCC designs generally produced higher internal discrimination, but temporal performance varied by algorithm and index-date definition. Cohort designs achieved the highest temporal AUPRC for LASSO (0.068), whereas diagnosis-anchored NCC achieved the highest temporal AUPRC for XGBoost (0.086) and MLP (0.070). Temporal AUPRC generally decreased as the required lead time before diagnosis increased. Raw predicted probabilities substantially overestimated observed risks in the temporal cohort. Isotonic recalibration improved probability scaling while largely preserving discrimination, although residual miscalibration remained. Cohort-based feature rankings were more consistent across algorithms, whereas NCC-based rankings depended more strongly on algorithm and index-date anchoring. Conclusion: Study design should be selected and evaluated according to the intended clinical prediction task and deployment setting.

Objective Based on the bioinformatics method of multi-database integration, this study systematically analyzes the expression characteristics, clinical pathological correlation, prognostic value, potential molecular mechanisms, and immune infiltration patterns of hepatocyte growth factor receptor (MET) in gastric cancer. Methods The UALCAN and GEPIA databases were employed to examine the differential expression of MET between gastric cancer and normal gastric mucosal tissues, as well as its associations with clinicopathological features. Kaplan-Meier Plotter was utilized to evaluate the impact of MET expression on overall survival (OS) and progression-free survival (PFS). Protein-protein interaction (PPI) network was constructed via LinkedOmics, followed by Gene Ontology (GO) functional annotation and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis of co-expressed genes. Four algorithms, TIMER, CIBERSORT, EPIC, and MCPcounter, were used to cross evaluate the correlation between MET expression and immune cell infiltration; Further validate the cell type specific expression of MET using the gastric cancer single-cell sequencing queues (GSE134520, GSE167297) built into the TISCH database. Results MET expression was significantly elevated in gastric cancer tissues compared with normal gastric mucosa (P < .05), and its expression level was significantly correlated with tumor grade and TNM stage. Patients with high MET expression exhibited significantly poorer OS and PFS than those with low MET expression (P < .05). The PPI network revealed that MET could interact with 20 key proteins, including EGFR, ERBB2, HGF, STAT3, and GRB2 etc. GO enrichment analysis suggests that differentially expressed genes are significantly enriched in functions such as the ERBB signaling pathway, cadherin binding, and DNA repair complexes; KEGG enrichment analysis showed that MET related genes were significantly enriched in pathways such as homologous recombination, nuclear cytoplasmic transport, mismatch repair, and oxidative phosphorylation. Immune infiltration analysis showed that the negative association between MET and B cells infiltration has cross algorithm robustness, while the association with neutrophils, CD8+ T cells, CD4+ T cells, and macrophages exhibits algorithmic heterogeneity or insignificance; There is no significant correlation between MET and common immune checkpoint molecules such as PD-1, PD-L1, CTLA4, etc. Single cell validation further confirmed that MET is mainly enriched in malignant epithelial cells and endothelial cells, and is almost not expressed in immune cells. Conclusions Multidimensional bioinformatic analyses demonstrate that elevated MET expression serves as an independent risk factor for unfavorable prognosis in gastric cancer. MET may mediate dual drug resistance in gastric cancer via crosstalk with multiple signaling molecules (including EGFR, ERBB2, HGF, STAT3 and GRB2) and dysregulation of the homologous recombination repair pathway. Results from multiple-algorithm immune infiltration analysis, single-cell dataset analysis and immune checkpoint correlation analysis indicate that MET exerts only modest direct regulatory effects on the gastric cancer immune microenvironment. This exploratory study offers systematic bioinformatic evidence supporting MET as a candidate prognostic biomarker and potential therapeutic target for gastric cancer. Further functional experiments and prospective cohort studies are required to validate its molecular mechanisms and clinical utility.

Background: Although perioperative fluorouracil, leucovorin, oxaliplatin and docetaxel (FLOT) is the standard neoadjuvant regimen for resectable gastric and gastro-oesophageal junction adenocarcinoma, evidence describing treatment delivery in routine clinical practice remains limited, particularly regarding relative dose intensity (RDI) and treatment completion. Objectives: To evaluate real-world delivery of preoperative FLOT chemotherapy, including treatment completion, progression to surgery, RDI, toxicity and exploratory changes in estimated lean body mass (LBM). Methods: A retrospective single-centre service evaluation included consecutive patients receiving neoadjuvant FLOT during 2024. Outcomes included treatment completion, surgery, RDI, toxicity, pathological response and estimated LBM. Descriptive statistics were used. Results: Twelve patients were included (median age 68.6 years; 91.7% male). Eleven (91.6%) completed all four preoperative cycles and proceeded to surgery. Mean RDI was 76.7%. Pre-emptive dose capping was the predominant dose modification strategy, with only one reactive dose reduction. Two grade 3 adverse events occurred. Major pathological response (Mandard grade 1-2) was observed in 2/12 patients (16.7%). Mean estimated LBM declined from 54.3 to 53.4 kg. Greater LBM loss appeared to coincide with poorer clinical outcomes. Conclusions: High treatment completion and progression to surgery were achieved despite reduced RDI. These findings support prospective evaluation of strategies to optimise chemotherapy delivery while maintaining tolerability in routine clinical practice.

Background: Total neoadjuvant therapy (TNT) is increasingly used for treatment of locally advanced rectal cancer (LARC) to improve treatment compliance, oncological outcomes and opportunities for organ preservation. However, evidence describing its implementation and outcomes in low- and middle-income countries remains limited. This study evaluated the feasibility, treatment delivery, oncological outcomes and organ preservation outcomes of TNT in a real-world South African setting. Methods: This was a retrospective review of a prospective cohort of adults with histologically confirmed, non-metastatic LARC treated with TNT at the Wits Donald Gordon Medical Centre, Johannesburg, between March 2022 and January 2026. Treatment was individualised following multidisciplinary review and included induction and/or consolidation systemic chemotherapy with either long- or short-course radiotherapy. Following TNT, treatment response was assessed clinically, endoscopically and radiologically. Patients with a clinical complete response (cCR) were offered watch-and-wait (WW) surveillance, while those with an incomplete response were recommended for total mesorectal excision (TME). The primary outcome was organ preservation, assessed as TME-free survival. Secondary outcomes included tumour regrowth, disease-free survival (DFS), overall survival (OS), and local recurrence-free survival (LRFS) following TME. Results: Forty-six patients were included; median age was 63 years, 67.4% were male, 82.6% had T3-T4 tumours and 80.4% had node-positive disease. TNT was completed as planned in 95.7% of patients. Grade [&ge;]3 toxicity occurred in 19.5% during chemotherapy and 8.9% during radiotherapy. Twenty-one patients (45.7%) achieved a cCR and entered WW surveillance. TME-free survival was 46% (95% CI 31-60) at 1-year and 18% (95% CI 8-32) at 3-years. Three-year OS and DFS were 87% (95% CI 64-96) and 76% (95% CI 53-89), respectively. Among patients managed with WW, 3-year regrowth-free survival was 53% (95% CI 26-75). Three-year LRFS following TME was 94% (95% CI 68-99), and all patients undergoing TME or completed salvage surgery achieved an R0 resection. Conclusion: TNT was feasible and well tolerated in this real-world South African cohort, with high treatment completion and favourable medium-term oncological outcomes. Although almost half of patients initially achieved a cCR, declining TME-free and regrowth-free survival demonstrated that durable organ preservation was less frequent, highlighting the importance of structured surveillance and timely access to salvage surgery. These findings support the feasibility of delivering contemporary multimodal rectal cancer care in an appropriately resourced African setting.

Background/Objectives: Aldehyde dehydrogenase 2 (ALDH2), a mitochondrial enzyme, mitigates cellular stress by detoxifying reactive aldehydes produced during alcohol exposure and endogenous metabolic processes. ALDH2*2 polymorphism, which results in deficient catalytic activity, is prevalent in East Asian populations and is associated with an increased risk of cancer and other diseases. While the effects of ALDH2 deficiency on cellular stress responses are well documented, the specific metabolic dysregulations arising from this deficiency require further investigation. Methods; An ALDH2 knockout subline of SKBR-3 cells was established using CRISPR/Cas9 strategy. The metabolomic profiles of control (SKBR-3/C) and ALDH2 knockout (SKBR-3/ADKO) cells were evaluated via ultra-high performance liquid chromatography-high resolution mass spectrometry (UHPLC-HRMS). Results: ALDH2 knockout in SKBR-3 cells resulted in increased cellular stress, evidenced by elevated levels of 8-OHdG, reactive oxygen species (ROS), and malondialdehyde (MDA). Metabolomic analysis of the paired cell lines assigned a total of 5,033 signals, of which 281 were significantly different (fold change [&ge;] 2, p-value <0.05) between the two groups. Pathway analysis with MetaboAnalyst identified significant metabolic pathways associated with ALDH2 deficiency, particularly those involving arginine biosynthesis, and arginine and proline metabolism. ALDH2 deficiency reprogramed arginine metabolism toward polyamine pathways while suppressing the urea cycle. Network analysis further revealed alterations in amino acid and lipid metabolism in ALDH2-deficient cells. Conclusions; This study provides a novel insight into the role of ALDH2 in cancer metabolism and may have broader implication for cancer biology.

Purpose Tarlatamab, a bispecific T-cell engager, has generated favorable response and survival outcomes in relapsed small cell lung cancer (SCLC). Factors influencing tarlatamab-associated treatment outcomes and toxicity have yet to be established. We performed a multivariate analysis to identify biomarkers associated with cytokine release syndrome (CRS) and immune effector cell associated neurotoxicity syndrome (ICANS) and integrated these variables into a novel risk stratification tool to identify patients at high risk of clinically significant toxicity. Patients and Methods Logistic and ordinal regression analyses evaluated the predictive value of variables contributing to the presence and severity, respectively, of CRS and ICANS in 115 patients with ES-SCLC receiving tarlatamab. Selected variables were then tuned using 5-fold cross-validation and incorporated into novel elastic net-based prediction models. Results Rates of observed CRS, ICANS, and dysgeusia were 46%, 28%, and 47%, respectively. ORR (overall response rate) and DCR (disease control rate) were 44% and 58.2%, while 6-month PFS (progression free survival) and OS (overall survival) rates were 30.4% and 54.9%, respectively. Excluding patients on tarlatamab <30 days, presence of dysgeusia was associated with a lower rate of disease progression (HR 0.44, p=0.00691) and death (HR 0.34, p=0.0145). The presence of, increased size and number of extracranial metastases as well as elevated baseline LDH were significantly associated with increased likelihood of CRS. Increased ECOG performance status, increased volume of brain metastases, development of CRS, and elevated baseline LDH were all associated with increased risk of developing ICANS. Our cross-validated risk model successfully predicted CRS grade [&ge;]2 and ICANS events with 90.9% and 75% sensitivity, respectively. Conclusions This exploratory analysis identified several predictive biomarkers of toxicity that successfully stratified low and high-risk populations as part of an internally validated novel risk scoring tool.

Purpose: Uveal melanoma (UM) is a rare but aggressive intraocular malignancy originating in the uvea (choroid, iris, and ciliary body). Despite primary treatment, 50% of UM patients develop metastases to the liver, lungs, bones, and skin. Topotecan, a topoisomerase I inhibitor, and SP141, an MDM2 inhibitor, have been studied in cancers, including retinoblastoma. This study explores a combined approach with these drugs in the 92-1 UM cell line. Methods: Primary choroidal melanoma-derived 92-1 cells were treated with topotecan and SP141 individually to determine IC50 values. Cell viability and proliferation were assessed using the MTT assay and the xCELLigence real-time monitoring system. The synergistic effects were analyzed quantitatively using the Loewe Additivity and Highest Single-Agent (HSA) models. Flow cytometry was employed to analyze cell cycle distribution, while cell death and apoptosis were monitored via high-throughput, real-time quantitative analysis using the IncuCyte live-cell kinetic imaging system. Results: Both Topotecan and SP141 induced significant cell death in 92-1 cells. xCELLigence showed dose- and time-dependent inhibition of proliferation. Combining sub-IC50 concentrations of topotecan and SP141 exhibited significant synergistic effects, markedly reducing growth. Cell cycle analysis revealed that topotecan causes a dose-dependent biphasic arrest in G2 and S phases, while SP141 causes G2/M arrest, leading to cell death. Cytotoxicity assays corroborated increased cell death following combination therapy, and the Caspase 3/7 assay indicated that apoptosis is the mechanism underlying cell death. Conclusions: The multi-targeted approach combining topotecan and SP141 drugs demonstrated synergistic therapeutic effects in 92-1 cells, suggesting a potential treatment strategy for managing UM.

Background: Severe hepatotoxicity has been reported when sotorasib follows immune checkpoint inhibitor (ICI) therapy, and fixed washout intervals have been proposed. We assessed prior ICI exposure and the ICI-to-sotorasib interval as separate risk factors. Materials and methods: We searched PubMed, Europe PMC, Embase, Web of Science, Scopus, CENTRAL, and meeting proceedings for comparative studies of grade 3 or higher hepatotoxicity after KRAS G12C inhibitors. Matched risk ratios (RRs) and unadjusted cohort data were synthesized separately, the latter with an exact conditional odds ratio (OR). Certainty was rated with GRADE. Results: Of 530 unique records screened, seven sources were included, all involving sotorasib. In the only matched analysis (meeting abstract, 386 patients per arm), prior ICI exposure was associated with higher risk (13.2% vs 4.4%, RR 3.00, 95% CI 1.76-5.10), whereas matched comparisons at 6 weeks (RR 1.11, 0.61-2.03) and 12 weeks (RR 1.08, 0.52-2.27) detected no difference but could not exclude important effects. All five unadjusted cohorts showed higher risk with shorter intervals, including 21/74 versus 8/75 patients in the earlier versus later interval quartiles of the CodeBreaK 200 trial, although effect sizes were heterogeneous (exact homogeneity P=0.006). Certainty was very low throughout. Conclusions: Prior ICI exposure was associated with higher risk of severe sotorasib-associated hepatotoxicity, with very low certainty. A shorter interval was associated with higher risk in unadjusted data only, and current evidence does not establish a mandatory washout period. Liver-test monitoring per the prescribing information applies to all patients, whereas additional surveillance after ICI exposure remains an untested precaution.

PurposeMen with pathogenic BRCA1 and BRCA2 variants (BRCA+) have an elevated lifetime risk of male breast cancer (MBC) yet data regarding mammography in this population remain limited. MethodsWe performed a retrospective cohort study of BRCA+ assigned male at birth individuals (males) at Penn (1/1/2008-5/1/2024) and the Veterans Administration (VA, 10/1/2002-1/1/2026) for mammography uptake. Mammography results and MBC characteristics were compared between BRCA+ and BRCA-males. ResultsAmong 810 BRCA+ males, 19% had a documented mammogram for screening or symptoms. Among 562 BRCA+ males age-eligible for mammogram without prior MBC, most (63%) had documentation of a mammography-related discussion and 16% completed mammogram, of whom 25% were BRCA1+ and 75% were BRCA2+. Among mammograms obtained for screening of 97 BRCA+ males, there were few BI-RADS 4/5 (N=1, 1%) and no MBC was detected. Symptom-indicated mammograms in 59 BRCA+ compared to 228 BRCA-males yielded BI-RADS 4/5 findings in 35% versus 25%, p<0.0001, and MBC diagnoses in 29% versus 21%, p=0.219. The positive predictive value (PPV) of BI-RADS 4/5 lesions was similar in BRCA+ vs BRCA-males (71% vs 74% and 100% vs 93%, respectively). Among 22 BRCA+ and 57 BRCA-MBC, 55% and 42% were node positive and 82% and 86% were ER+Her2-, respectively. ConclusionScreening mammography utilization among BRCA+ males was low despite elevated hereditary risk. Regardless of BRCA status, nearly all MBC were diagnosed based on symptoms, and a high proportion of MBC were diagnosed at advanced stages. Our findings identify a critical need for both improved identification of males at high risk for breast cancer and improved screening practices of high-risk men.