International Journal of Cancer

Background and objective: Colorectal cancer (CRC) is the third leading cause of cancer deaths worldwide. Early identification of high-risk individuals allows targeted prevention and early detection. Design: We constructed a polygenic risk score (PRS) for CRC risk using data from 1,448,354 individuals (103,401 cases). We evaluated its performance for identifying high-risk individuals in 6 major ancestries. Results: The PRS was strongly associated with CRC risk in Europeans (OR per SD =2.13, 95%CI=1.98-2.28), Africans (OR=1.35, 95%CI=1.11-1.64), Hispanics (OR=1.97, 95%CI =1.48-2.61), East Asians (OR=1.98, 95%CI=1.35-2.91), South Asians (OR=1.85, 95%CI=1.44 -2.37), and Middle Easterners (OR=3.10, 95%CI=1.38-6.95). Europeans in the top 10% genetic risk had 14-fold and 5-fold higher CRC risks compared to the bottom 10% (OR=13.50, 95%CI=8.67-21.00), and average (20-70%) risk groups (OR=4.64, 95%CI=3.89-5.52), respectively. The CRC risk in the top 10% individuals was equivalent to having three affected first degree relatives with CRC diagnosed at any age. Genetically high-risk individuals developed CRC up to 15 years earlier than the average. The PRS was strongly associated with early onset CRC risk e.g. in AFR (OR=3.22, 95%CI=1.79-5.81), and improved its prediction e.g. by 9% beyond clinical predictors in EUR. Conclusion: A comprehensive genetic prediction of CRC risk provides insights that could streamline screening and prevention guidelines.

Background Conversion surgery for stage IV gastric cancer is supported by a pooled overall survival hazard ratio of 0.36 (95% confidence interval 0.32-0.40) and, in the largest international cohort, median survival of 36.7 versus 12.5-13.8 months on chemotherapy. Survival is measured from diagnosis; the median diagnosis-to-gastrectomy interval is 124 days, which patients must survive to be counted surgical. Methods We simulated cohorts of 3,177 stage IV gastric cancer patients from published parameters: background median survival 14.5 months; median diagnosis-to-surgery interval 124 days (category-specific 92-174 days). Surgery had no effect (true hazard ratio 1.00 by construction). Data were analysed as the literature analyses them (exposure fixed at baseline, follow-up from diagnosis), and by time-varying Cox and landmark analysis. Confounding by indication was added in a second scenario. Results Under immortal time bias alone the naive analysis returned a hazard ratio of 0.794 (95% simulation interval 0.743-0.851), median survival 16.8 versus 12.8 months. Time-varying Cox recovered 1.000 and landmark analysis 1.000-1.004. Bias scaled with the interval: 0.849 at 92 days, 0.715 at 174 days. Adding confounding, the naive estimate fell to 0.601 (0.560-0.644) at strength 0.5 and 0.356 (0.323-0.385) at strength 1.5, overlapping the published estimate; median survival 21.9 versus 8.7 months. Correcting immortal time alone left residual bias (hazard ratio 0.439). Conclusions The reported survival advantage of conversion surgery is reproducible where the operation does nothing; published estimates cannot distinguish benefit from bias. Resolving this requires individual patient data analysed with methods that assign person-time correctly, or completion of JCOG2301.

Background: Several breast cancer (BC) risk prediction models have been developed to provide personal risk assessments. Though individually validated, their performance has not been systematically evaluated across a wide range of populations or ages. Methods: We harmonized individual-level baseline questionnaire data and incident BC diagnoses from 21 cohorts from North America, Europe, and Australia participating in the Breast Cancer Risk Prediction Project. Five-year absolute risk of invasive BC was estimated for five established risk prediction models using classical risk factors only. Discrimination was evaluated by area under the curve (AUC). Calibration was assessed using average and risk-decile specific expected to observed (E/O) ratios. Performance metrics were meta-analyzed across cohorts and models. Metaregression tested associations between cohort characteristics and performance metrics. Results: This analysis included 1,595,977 women aged 20-75 years, enrolled in studies between 1976-2015, with 19,062 (1.2%) invasive BC cases ascertained within 5 years from exposure assessment. Age-adjusted AUCs were similar across models and cohorts (pooled AUCs by model: 0.57-0.58), while E/O ratios varied substantially (pooled E/O ratios by model: 0.83-1.25). Overestimation was common among predicted high-risk individuals (>3%). No appreciable differences in model performance by cohort age, birth year, race, and variable missingness emerged. Calibration improved after assigning race-specific incidence rates. Conclusion: Existing BC risk prediction models provided similar risk discrimination across multiple cohorts, although there was overestimation of risk for high-risk individuals. Performance variation across cohorts was not driven by specific characteristics, which supports development of a unified risk model for diverse populations that leverages appropriate incidence rates.

Purpose Kaposi sarcoma (KS) remains one of the most common HIV-associated malignancies in sub-Saharan Africa (SSA). While loss to follow-up (LTFU) has been well documented among KS patients managed within HIV primary care, little is known about retention after patients transition into specialized oncology care, where treatment pathways, toxicities, costs, and follow-up schedules differ substantially. Because LTFU is unlikely to occur at random, patients who disengage from care may differ systematically from those retained with respect to disease severity, treatment response, and mortality risk, potentially biasing survival estimates and underestimating cancer-related mortality. This study aimed to estimate the cumulative incidence of LTFU among patients with KS receiving care at Tanzanias national cancer referral center, accounting for death as a competing event, and to identify factors associated with LTFU. Methods This retrospective cohort study included 251 patients with KS treated at Ocean Road Cancer Institute (ORCI) between January 2021 and December 2023. The primary outcome was LTFU, with death treated as a competing event. Cumulative incidence of LTFU at 6, 12, 18, and 24 months was estimated using the cumulative incidence function. Predictors of LTFU were assessed using univariable and multivariable Fine-Gray subdistribution hazards regression. Results Among 251 patients, 214 (85.3%) had epidemic (HIV-associated) KS and 37 (14.7%) had endemic (non-HIV-associated) KS. Males accounted for 62.2%. Accounting for death as a competing event, the cumulative incidence of LTFU was 27.6% (95% CI, 22.0-33.1) at 6 months, 36.4% (95% CI, 30.5-42.4) at 12 months, 43.3% (95% CI, 37.2-49.4) at 18 months, and 46.6% (95% CI, 40.4-52.7) at 24 months. In multivariable Fine-Gray regression, absence of oral involvement (adjusted subdistribution hazard ratio [aSHR], 0.37), reachable telephone contact (aSHR, 0.54), and initial chemotherapy rather than radiotherapy (aSHR, 0.44) were independently associated with lower risk of LTFU. Conclusion Nearly half of patients with KS were LTFU within two years, substantially limiting reliable assessment of cancer outcomes in this setting. Strengthening retention strategies, including maintaining reliable patient contact information and implementing routine phone-based follow-up, may offer feasible, scalable approaches to improve continuity of care, enhance survival monitoring, and strengthen cancer surveillance in resource-limited settings.

Background: We examined ethnic differences in age-standardised net survival (ANS) for eight common cancers diagnosed in England between 2010 and 2019. Methods: Analyses included 247,428 patients aged [≥]40 years diagnosed with breast, prostate, lung, colorectal, cervical, ovarian, myeloma, and oesophagogastric cancers. Net survival was estimated at one, three, and five years using the Pohar-Perme estimator and age-standardised with International Cancer Survival Standards weights across four age bands. Results: Compared with White patients, Black patients had higher ANS for lung and prostate cancers at all time points, for myeloma at one year, and for oesophagogastric cancer at one and three years. However, they had lower ANS for breast cancer at three years. Asian patients had higher ANS for lung, prostate, and oesophagogastric cancers at all time points, and for other sites at varying follow-up times. Patients in the Mixed group had higher ANS for most cancers, whereas those in the Other ethnic group generally had lower ANS compared with White patients. Conclusions: Ethnic minority groups in England do not consistently experience poorer cancer survival, with varying patterns observed by cancer site. Universal healthcare access may reduce disparities observed elsewhere, highlighting the importance of context-specific research and public policy.

Metastasis-associated lung adenocarcinoma transcript 1 (MALAT1) is a long non-coding RNA (lncRNA) implicated in cancer progression. In thyroid cancer, MALAT1 has been proposed as a potential biomarker, but its role in disease progression remains incompletely understood. Here, we analyzed MALAT1 RNA levels in paired tumoral and adjacent non-tumoral thyroid samples from a Chilean patient cohort. We found a positive correlation of MALAT1 levels with lymphatic infiltration that was not replicated when modeling MALAT1 expression in a larger cohort obtained from the TCGA-THCA database. An exploratory RNA-seq comparison of one matched tumor-adjacent tissue pair confirmed higher tumor abundance of MALAT1 and the epithelial-to-mesenchymal transition-marker VIM, together with lower abundance of cell-adhesion gene PCDH10. To investigate the impact of MALAT1 on thyroid cancer and cellular metabolism, we targeted MALAT1 in the papillary thyroid cancer cell line TPC1. MALAT1 knock-down reduced proliferation and migration while enhancing mitochondrial respiration with no changes in glycolysis. Notably, although MALAT1 was not localized within mitochondria, its silencing modulated the expression of transcripts associated with mitochondrial dynamics and mitophagy. Consistent with these results, transcriptomic correlation analysis in the TCGA-THCA cohort showed that MALAT1 expression was largely uncoupled from oxidative phosphorylation and glycolysis gene programs, while negatively correlating with core regulators of mitophagy and mitochondrial dynamics, pointing to a link with mitochondrial quality control rather than direct bioenergetic reprogramming. Our findings highlight MALAT1 as a contributor to thyroid cancer aggressiveness and reveal a link between MALAT1 and mitochondrial quality control independent of direct mitochondrial localization. Besides, our results support a tissue-specific mechanism and population-specific role of MALAT1 in cancer biology.

Background: Evidence suggests chronic distress influences ovarian cancer (OC) etiology and metabolomic profiles. Here, we evaluated the association of a metabolite-based distress score (MDS) and OC risk. Methods: We included two matched case-control studies nested within the Nurses' Health Studies (N=584) and the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial (N=348). Metabolites were measured 3-27 years before diagnosis using liquid-chromatography tandem mass spectrometry. We examined the association of quintiles of MDS and 19 constituent metabolites with OC risk using unconditional logistic regression and stratified by tumor histotype, menopausal status, and age at diagnosis. Results: We observed women in the highest versus lowest quintile of MDS had an increased OC risk (OR=1.62,95%CI=1.03-2.54,ptrend=0.07), and type 2 tumors (OR=1.71,95%CI=1.03-2.83,ptrend=0.11). Associations were suggestively stronger for premenopausal and <69-year-old women, and driven by pseudouridine, and N2,N2-dimethylguanosine. Conclusion: Our findings suggest chronic distress-associated metabolic dysregulation may represent a novel OC risk factor, especially among younger women.

Despite advances in screening and treatment, breast cancer remains a leading cause of cancer-related mortality. APOBEC enzymes, particularly APOBEC3B (A3B), are upregulated in many cancers, contributing to a characteristic C-to-T mutational signature found in 30-50% of breast cancers. However, the relationship between A3B mutational signatures and A3B expression across subtypes, and the resulting potential biologic consequences, have not been fully defined. Using TCGA and ICGC datasets, we analyzed DNA and RNA expression data to assess the relationship between A3B mRNA expression and APOBEC enrichment scores. Pathway enrichment analyses (KEGG, GO, Reactome) were performed to identify biological processes associated with high A3B expression, specifically stratifying by breast cancer intrinsic subtypes (HR+/HER2-, HR+/HER2+, HR-/HER2+, and TNBC). Over 64% of tumors with enriched A3B mutational genomic signatures demonstrated above-median A3B mRNA expression (p < 0.001). High A3B-expressing tumors exhibited specific alterations in drug metabolism pathways. Notably, we observed reduced expression of CYP2D6 and CYP3A isoforms which is required for the conversion of tamoxifen to its active metabolites. Conversely, genes involved in pyrimidine metabolism, including IMPDH1, NME1, TK1, and DPYS, were downregulated in high A3B tumors. Elevated A3B expression correlates with mutational signatures and may contribute to impaired tamoxifen activation and endocrine resistance, while concurrently creating metabolic vulnerabilities to pyrimidine-based chemotherapies. Targeting A3B or exploiting these metabolic dependencies may improve therapeutic response in selected patient subsets.

Importance: Chronic stress may contribute to adverse health outcomes through cumulative physiologic dysregulation. Allostatic load (AL), a composite measure of multisystem physiologic burden, may capture biologic effects of structural, social, and psychosocial stress not reflected by self-reported measures. Objective: To evaluate racial and ethnic differences in AL among women with familial cancer risk and examine how socioeconomic status, psychosocial factors, clinical characteristics, and health behaviors contribute to variations in AL. Design: Cross-sectional study of underrepresented minority participants enrolled in the HERSTORY cohort from October 2023 through September 2025, with comparison participants from the UCLA ATLAS biobank. Setting: UCLA academic health system. Participants: The study included 303 racially and ethnically diverse female HERSTORY participants aged [&ge;]35 years with a family history of cancer and matched non-Hispanic White female ATLAS participants (n=709). Exposures: Race and ethnicity, age, neighborhood deprivation, cancer history and stage, depression, perceived stress, cancer worry, and physical activity. Main Outcomes and Measures: The primary outcome was AL, calculated from cardiometabolic and organ-function measures. A secondary index incorporated race- and ethnicity-specific neutrophil-to-lymphocyte ratio (NLR) derived from 326,826 women in the UCLA Health population. Multivariable regression models evaluated factors associated with elevated AL. Results: Compared with matched non-Hispanic White participants, Black and Asian/Pacific Islander HERSTORY participants had significantly higher AL after adjustment. Hispanic/Latina participants did not have significantly elevated AL. Older age, greater area-level socioeconomic deprivation, and depression were independently associated with higher AL. Prior cancer diagnosis, cancer worry and perceived stress were not significantly associated with AL, whereas regular physical activity was associated with lower AL. Among cancer patients, advanced stage was associated with greater AL. Conclusions and Relevance: This study demonstrates elevated AL among understudied racial/ethnic minority groups with familial cancer risk and identifies associations with neighborhood deprivation, depression, and physical activity. The association between cancer stage and AL suggests that physiologic stress may reflect variation in cancer burden. The lack of association with perceived stress and cancer worry further indicates that physiologic and self-reported psychosocial measures capture distinct dimensions of stress. The development of race/ethnicity-specific NLR thresholds derived from large population samples provide a benchmark for future studies.

Many factors including ionizing radiation and iodine deficiency are known to increase thyroid carcinogenesis risk. Our dataset analysis of The Cancer Genome Atlas (TCGA) showed that lower mRNA expression of NK2 homeobox 1 (NKX2-1) transcription factor, a master regulator of genesis, homeostasis, and function of thyroid, is linked to poor prognosis of papillary thyroid cancer patients. Here we provide the findings that thyroid-specific Nkx2-1 conditional knockout (Nkx2-1{Delta}T) mice develop thyroid adenoma and carcinoma in higher frequency with combined exposure to radiation and iodine deficiency than control Nkx2-1fl/fl mice. Iodine deficiency caused oxidative stress, which subsequently resulted in DNA damage, leading to transformation of thyroid follicular cells. RNA-seq gene set enrichment analysis indicated higher production of reactive oxygen species (ROS) in the thyroids of Nkx2-1{Delta}T as compared to Nkx2-1fl/fl mice with combined exposure to radiation and iodine deficiency. This was accompanied by a feedback induction of SOD3 (superoxide dismutase 3) and GPX2 (glutathione peroxidase 2). These antioxidants were naturally expressed at higher levels in the thyroids of Nkx2-1{Delta}T than Nkx2-1fl/fl mice without iodine deficiency or radiation. Nkx2-1{Delta}T thyroids exhibited abnormal follicle architecture and up-regulation of Acox2 (encoding acyl-CoA oxidase 2), which produces hydrogen peroxide. These results suggest that loss of NKX2-1 may contribute to excess ROS production, which elevates basal oxidative stress resulting in the promotion of ROS-induced carcinogenesis. We propose a role for NKX2-1 as a regulator of ROS production homeostasis in the thyroid. Its disturbance would dispose thyroid follicular cells more vulnerable to the ROS-producing carcinogens.

Background: Peptide cancer vaccines can elicit antigen-specific immunity, but peripheral immunogenicity often does not translate into durable tumor control. Methods: We analyzed transcriptomic profiles across three public human peptide-vaccine cohorts: C1/GSE278476, a MUC1 plus Poly-ICLC PBMC RNA-seq cohort with ordered anti-MUC1 IgG response classes; C2/GSE85698, manufactured dendritic-cell vaccine preparations linked to TARP ELISpot response; and C3/GSE53922, baseline PBMC expression linked to overall survival after personalized peptide vaccination in castration-resistant prostate cancer. Prespecified gene modules were summarized as mean standardized scores and tested with endpoint-appropriate cohort-level models with within-family FDR control. Results: Baseline immune-readiness was favorable in C1 (beta=0.301, p=0.0072, q=0.093; permutation p=0.0088) and associated with longer survival in C3 (HR=0.662, 95% CI 0.532-0.823, p=0.000206, q=0.00126). Baseline erythroid/inflammatory drag showed the opposite direction in C1 (beta=-0.258, p=0.031, q=0.202; permutation p=0.0324) and was associated with inferior survival in C3 (HR=1.390, 95% CI 1.181-1.636, p=0.0000755, q=0.000982). In C2, lower tolerogenic/myeloid dendritic-cell product-state expression was observed in strong ELISpot responders (8/19 focused genes q<0.05). At C1 week 2, a priming/costimulation/mTOR-AKT module showed an FDR-significant cross-sectional association with response class (permutation p=0.0026), but paired within-person change was not significant. Conclusions: Public peptide-vaccine transcriptomic data support a phase-linked model in which host readiness, erythroid/inflammatory drag, dendritic-cell product state, and early priming are measurable response-linked layers. These retrospective cohorts do not establish causality, biomarker status, clinical utility, or durable tumor control.

PurposeHigh dietary fibre intake has been linked to lower cancer risk, yet its role in prostate cancer treatment responses and radiotherapy tolerance remains unclear. We evaluated the effects of dietary fibres (inulin, pectin, {beta}-glucan) on prostate tumour growth, gut microbiota and intestinal response to ionising radiation (IR) in murine models. MethodsMale FVB and C57BL/6J mice were injected with murine Myc-CaP (FVB), RM-1 or DVL3 (C57BL/6J) prostate tumour cells and fed a low-fibre (0.2% cellulose) or high-fibre diet (10% inulin, pectin or {beta}-glucan). Some mice had tumour irradiation (6 Gy). Tumour volume, caecal weight and faecal microbiota relative abundance (by 16S rRNA gene sequencing) were analysed. Caecal contents fermentation acids were quantified by gas chromatography. The effects of dietary fibre on intestinal acute normal tissue toxicity post-irradiation (10-14 Gy) were assessed by intestinal crypt assay. ResultsInulin delayed average tumour growth in all models. Inulin and {beta}-glucan prolonged post-IR tumour control versus 0.2% cellulose (all p <0.05), in some but not all mice. Inulin, pectin and {beta}-glucan increased faecal acetate concentrations post-IR and mice demonstrated responder (R) vs non-responder (NR) phenotypes to diet/IR, associated with Bifidobacterium (inulin-R), Lactobacillus and Parasutterella (pectin-R) and Muribaculacaeae and Muribaculum ({beta}-glucan-R). High fibre-fed mice had enhanced intestinal crypt regeneration following 12 Gy compared to 0.2% cellulose-fed mice. ConclusionsHigh fibre diets slowed prostate tumour growth both alone and following 6 Gy IR, while protecting small intestines from radiation-induced injury. Effects may have been mediated via increased microbiota-driven metabolite production and enhanced epithelial regeneration, but more mechanistic work is required to explore causality. The differences in individual responses to various fibres should be investigated further, as this may have relevance to adopting dietary fibre supplementation strategies in human radiotherapy patients, and may reflect the recognised importance of an individuals baseline microbiota on dietary effects.

Background: Population-scale molecular profiling integrated into routine healthcare could accelerate biomarker discovery, validation, and implementation, but the feasibility and sustainability of such an approach have rarely been demonstrated prospectively. The Sweden Cancerome Analysis Network - Breast (SCAN-B) Initiative was established to integrate prospective molecular profiling with population-based breast cancer care and create an infrastructure for translating molecular discoveries into clinical practice (ClinicalTrials.gov identifier NCT02306096). Methods: We evaluated the first 10 full calendar years of SCAN-B, encompassing patients with primary invasive breast cancer enrolled between August 30, 2010 and December 31, 2020. Enrollment and biospecimen collection were compared with all eligible breast cancer diagnoses in participating hospitals to assess population coverage and representativeness. Clinicopathological characteristics, treatments, recurrence-free survival, overall survival, RNA-sequencing-based molecular subtypes and risk-of-recurrence, and somatic mutations were evaluated. We additionally report the translation of SCAN-B molecular profiling from the research setting into routine clinical diagnostics. Results: Among 16,381 estimated eligible breast cancer diagnoses, 13,940 patients (85.1%) were prospectively enrolled across participating Swedish hospitals. Baseline blood samples were obtained from 98.4% of enrolled patients and tumor specimens from 71.1%; 9,323 tumors (94.0% of submitted tumor specimens) underwent RNA-sequencing. The enrolled cohort was broadly representative of the underlying breast cancer population across major clinicopathological characteristics. Integration of longitudinal clinical data with molecular profiling enabled characterization of real-world treatment patterns, long-term outcomes, molecular subtypes, risk-of-recurrence, and the somatic mutational landscape in this population-based cohort. Building on prospective real-time RNA-sequencing and subsequent development and validation of single-sample molecular subtype and risk-of-recurrence predictors, the SCAN-B workflow was transferred into routine clinical molecular diagnostics in Sk[a]ne and Blekinge in 2021. Through January 2026, more than 3,000 patients had received clinical RNA-sequencing-based molecular subtype and risk-of-recurrence reports, while prospective SCAN-B enrollment and transfer of samples and molecular data into the research infrastructure continued. Patient enrollment continues prospectively, with over 23,000 patients accrued as of January 2026. Conclusions: A prospective, population-based molecular profiling program can be integrated into routine breast cancer care at scale while maintaining high population coverage and representativeness. Over more than a decade, SCAN-B progressed from prospective biosampling and molecular profiling through biomarker development and validation to implementation of RNA sequencing-based testing in routine healthcare. This model establishes a continuous framework linking population-based molecular research, biomarker discovery and validation, and clinical implementation, and provides a strategy for integrating precision oncology research with routine cancer care.

Human papillomavirus (HPV)-related and HPV-unrelated oropharyngeal squamous cell carcinomas (OPCs) are distinct entities with different clinical outcomes. While p16 immunohistochemistry (IHC) is widely used as a surrogate marker for HPV-driven OPC, a subset of HPV-unrelated OPCs also overexpress p16, and the biological basis of this discordance remains unclear. Here, we performed integrated clinicopathological, transcriptomic, genomic, and functional analyses of OPCs and demonstrated that dysregulation of the p16-CDK6 axis characterizes HPV-unrelated p16-positive OPCs. Although these tumors closely resembled HPV-unrelated p16-negative OPCs in their clinicopathological and transcriptomic characteristics, they exhibited a more favorable prognosis. CDK6 was recurrently upregulated in HPV-unrelated OPC regardless of p16 status and was already detectable in high-grade dysplastic leukoplakia, suggesting that CDK6 activation is an early event in HPV-unrelated tumorigenesis. In experimental models, CDK6 overexpression induced compensatory p16 upregulation, creating selective pressure for subsequent CDKN2A inactivation. Consistent with this model, homozygous CDKN2A loss predominated in p16-negative tumors. We further identified CDKN2A frameshift mutations generating p14ARF-p16 chimeric proteins that retain p16 immunoreactivity despite functional loss of wild-type p16, revealing a previously unrecognized diagnostic pitfall of p16 IHC. These findings provide a biological framework for p16 overexpression in HPV-unrelated OPC and suggest that assessment of the p16-CDK6 axis may refine molecular classification and risk stratification beyond p16 IHC alone.

Biomarkers perturbed by exercise-mediated molecular mechanisms, in women with early-stage (stage I-III, non-metastatic) breast cancer are poorly defined, and especially in under-represented Asian cohorts. In this exploratory Breast Cancer Exercise Intervention (BREXINT) pilot study, 15 Asian women were randomized to a combined aerobic and resistance exercise intervention program (n=8) and a control group (n=7). Fasting blood sampling was performed at baseline, 8,16, and 24-week timepoints. Blood parameters were imputed, transformed and screened for intervention-specific variations using IQR-trimmed, paired Wilcoxon tests. Twenty-one blood parameters were found to meet a differential change rule (significance observed in 1 group but not the other). Exercise-associated signatures displayed hematological and cytokine remodeling at 16-weeks. Control-associated signatures include adipokine and renal markers at 16 and 24-weeks. Of note, exercise-driven decrease of IL-10 at 16-weeks (p=0.022) retained significance following linear mixed effects confirmation among screened candidates. IL-10-centred modulation is the most convergent exercise-associated blood derived signature but warrants further validation in larger exercise oncology trials.

Background: Biological sex and endocrine signaling influence cancer biology, immune response, and therapeutic outcomes. Recent evidence suggests that testosterone signaling may exert brain context dependent protective effects in glioblastoma through the hypothalamic-pituitary-adrenal axis, reduced glucocorticoid-mediated immune suppression, and altered tumor-immune interactions. We assessed whether testosterone replacement therapy (TRT) exposure was associated with survival in solid tumor central nervous system (CNS) metastases and glioblastoma (GBM, IDHwildtype, WHO grade 4), settings in which post-diagnosis survival and TRT timing can be clinically defined. Methods: We performed a retrospective Mayo Clinic cohort study of adult patients with molecularly confirmed glioblastoma and solid tumor CNS metastases confirmed from neuroimaging reports using large language model-assisted adjudication. TRT exposure was defined by testosterone-specific prescription evidence within prespecified peri-diagnostic windows. Overall survival was evaluated using propensity score-matched Cox models, 24 month administratively censored Cox models, time-dependent Cox sensitivity analyses, and 24 month restricted mean survival time. Results: In the pooled solid tumor CNS metastasis cohort, TRT exposure was associated with improved overall survival after propensity score matching (HR 0.80, 95% CI 0.65 to 0.98, p=0.029) and a 3.22-month improvement in 24 month restricted mean survival time. In glioblastoma, TRT exposure was similarly associated with improved overall survival after propensity score matching (HR 0.56, 95% CI 0.38 to 0.82, p=0.003) and a 5.81-month improvement in 24 month restricted mean survival time. Conclusions: TRT exposure was associated with improved survival in CNS metastases and glioblastoma. These hypothesis-generating findings support prospective studies incorporating TRT timing, hormone levels, corticosteroid exposure, immune correlates, and tumor-specific stratification.

To evaluate the cost-utility and 5-year budget impact of first-line olaparib plus abiraterone versus abiraterone alone for metastatic castration-resistant prostate cancer (mCRPC) in China after the eleventh round of volume-based procurement (VBP). The intention-to-treat (ITT) population was assigned primary decision-analytic weight; the prespecified BRCA1/2-mutated (BRCAm) subgroup was a supporting analysis.

Gene expression-based prognostic models have shown promise for predicting recurrence in colorectal cancer (CRC), but their clinical implementation remains limited. The NanoString nCounter platform provides a practical alternative to RNA sequencing and microarrays through standardized, cost-effective gene expression profiling that is compatible with routine clinical samples. In this study, we evaluated whether NanoString nCounter gene expression data improve prediction of recurrence following curative CRC surgery. Gene expression profiles from the NanoString PanCancer IO 360 panel were analyzed in two independent CRC cohorts (cohort A, n = 189; cohort B, n = 131). Differential gene expression analyses and Cox proportional hazards models were used to assess the prognostic value of gene expression alone and in combination with established clinical risk factors. Model performance was evaluated by five-fold cross-validation and external validation between cohorts using the concordance index (C-index) and Kaplan-Meier risk stratification. The two cohorts differed significantly in recurrence-free survival, and differential expression analysis demonstrated marked cohort-specific transcriptional patterns. Ninety-one recurrence-associated genes were identified in cohort A, whereas no significant genes were detected in cohort B, with poor agreement in gene-level differential expression between cohorts (Pearson r = 0.128). Across all prediction models, external performance was modest, and inclusion of gene expression data did not improve prediction beyond clinical variables. The clinical baseline model, incorporating age, UICC stage, and tumor site, consistently achieved the highest cross-cohort performance, with UICC stage emerging as the strongest predictor of recurrence. Although overall discrimination was moderate, the baseline model successfully stratified patients into significantly different high- and low-risk groups across cohorts. These findings indicate that prognostic gene expression signatures derived from NanoString data showed limited reproducibility across independent cohorts and provided little additional predictive value beyond established clinical factors. The results highlight the importance of external validation and suggest that robust clinical variables remain the most reliable predictors of recurrence risk in this setting.

Bioactive vitamin D (1,25-dihydoxyvitamin D or 1,25(OH)2D) is synthesized from its inert circulating form 25-hydroxyvitamin D (25(OH)D) by the enzyme 1--hydroxylase in the kidneys and in other tissues including breast. Because breast cancer is associated with changes in intra-tumoral lipid composition and vitamin D is known to affect lipid metabolism, we investigated the potential role of tumor-produced 1,25(OH)2D on lipid profile expression during breast tumor progression. For that purpose, we used the MMTV-PyMT mouse model which mimics the four phases of tumor progression seen in human breast cancer (hyperplasia, adenoma/mammary intraepithelial neoplasia (MIN), early carcinoma and late carcinoma). In previous studies we showed that conditional ablation of the gene encoding 1--hydroxylase (Cyp27b1), specifically in the mammary epithelium of this MMTV-PyMT mouse model, resulted in enhanced spontaneous tumor initiation and progression. In the present study, we used mass spectrometry imaging to compare lipid composition in the mammary glands of Cyp27b1 ablated and non-ablated MMTV-PyMT mice. In non-ablated control animals, we observed changes to specific lipid signals linked to stages of tumor progression. In particular, several discriminatory lipid signals were significantly up regulated throughout tumor progression. In ablated mice, absence of Cyp27b1 in the mammary epithelium was accompanied by different lipid signals in hyperplastic lesions. Several lipid signals were exclusively detected in non-ablated tumors but absent in hyperplasia. Our findings suggest that the tumor-produced 1,25(OH)2D known to play a key role in mammary tumor progression is mechanistically related to early changes in lipid composition seen prior to the development of hyperplasia.

Introduction: Tumor mutational burden (TMB) is a biomarker for immune checkpoint inhibitor therapy, traditionally measured in tissue (tTMB). Blood-based TMB (bTMB), derived from circulating tumor DNA, is minimally invasive but shows modest concordance with tTMB. The significance of blood-tissue TMB discordance remains unclear. Methods: We retrospectively analyzed 105 patients with advanced NSCLC who underwent pretreatment blood and tissue next-generation sequencing between October 2020 and September 2024. The blood-to-tissue TMB ratio was defined as ln[(1 + bTMB)/(1 + tTMB)]. Outcomes were overall survival (OS) and progression-free survival (PFS). Survival was assessed using Kaplan-Meier methods and multivariable Cox models. Results: Median follow-up was 10 months. Patients in the lowest ratio tertile had longer OS than those in the upper two tertiles (median, 33 vs 11 months; hazard ratio [HR], 0.55; 95% confidence interval [CI], 0.32-0.97; p = 0.04), whereas PFS did not differ (HR, 0.89; p = 0.62). A higher ratio, analyzed continuously, was independently associated with shorter OS (HR per 1-unit increase, 1.60; 95% CI, 1.10-2.31; p = 0.01), but not PFS. The association persisted after adjustment for metastatic organ count and radiographic tumor burden. The high-bTMB/low-tTMB subgroup had the poorest OS (HR, 3.17 vs low-bTMB/high-tTMB; p = 0.01). Conclusions: A higher blood-to-tissue TMB ratio was independently associated with worse OS in advanced NSCLC. Directional discordance between bTMB and tTMB may reflect tumor heterogeneity and provide prognostic information beyond either measure alone.