BMC Cancer

Purpose The Karolinska Liver Metastases (KaroLiver) cohort was established to investigate associations between clinical characteristics and histopathological features in patients treated with curative intent for colorectal cancer liver metastases (CRLM). The cohort combines whole-slide digital histopathology images with detailed oncological, surgical, radiological and survival data, enabling comprehensive analyses of treatment trajectories, clinical outcomes and metastatic tumour biology. Participants KaroLiver is a retrospective observational cohort comprising all consecutive patients who received curative-intent, liver-directed treatment for CRLM at Karolinska University Hospital in Stockholm, Sweden. The hospital is the primary regional referral centre for HPB surgery, serving the population of approximately 2.5 million people in the Stockholm-Gotland healthcare region. Patient enrolment is continuously updated in accordance with amended ethical approvals and evolving scientific questions. The cohort currently comprises 811 patients who underwent 1204 liver interventions between February 2012 and January 2022. Detailed clinical, oncological, surgical, pathological, molecular, recurrence and survival data are collected. Findings to date Median overall survival (OS) in the current cohort is 51.0 months (95% CI 46.2-57.1 months), and median recurrence-free survival (RFS) is 10.4 months (95% CI 9.2-11.9 months). The five-year OS rate is 44.9% (95% CI 41.2-48.8%). Studies using the cohort have so far identified a liver injury-derived stromal capsule in a subset of metastases, associated with improved survival. The cohort has also enabled the identification of histopathological markers of tumour biology, sex-based differences in treatment and survival, and associations between post-hepatectomy liver failure and oncological outcomes. Future plans Current research priorities include advanced histology-based prognostic scoring, sex differences in recurrence and retreatment, tumour biology and outcomes in early-onset versus average-onset CRLM, as well as CT- and MRI-based radiomics, all integrated within KaroLiver's histopathological framework. Data sharing is supported, given that regulatory requirements are met. Retrospective accrual and outcome updates will continue for current and future studies, subject to the required approvals.

Background: Gastric carcinoma remains a major cause of cancer related mortality worldwide, with tumor progression increasingly recognized as a consequence of complex interactions within the tumor microenvironment. Hypoxia induced signaling, cancer associated fibroblast (CAF) heterogeneity, and immune checkpoint activation play critical roles in tumor progression and immune evasion. However, their integrated relationship in gastric carcinoma remains insufficiently characterized. Objectives: To evaluate the expression of Hypoxia inducible factor 1 alpha and its association with cancer-associated fibroblast subtypes and Programmed death-ligand 1 expression in gastric carcinoma. Methods: This cross sectional analytical study included 100 histologically confirmed gastric carcinoma cases from Satkhira Medical College. Immunohistochemistry was performed for HIF 1 alpha, smooth muscle actin (SMA), fibroblast activation protein (FAP), and PD L1. CAFs were subclassified into myofibroblastic CAFs (myCAFs) and inflammatory CAFs (iCAFs). Associations between biomarkers and clinicopathological variables were analyzed using chi square test, Spearman correlation, and multivariate logistic regression. Receiver operating characteristic (ROC) curve analysis was used to assess model performance. Result: High HIF 1 alpha expression was observed in 55% of cases and demonstrated significant association with poor differentiation (p = 0.001), advanced tumor stage (p = 0.002), and lymph node metastasis (p = 0.001). iCAF predominance was significantly associated with poor differentiation (p = 0.003), advanced stage (p = 0.004), and nodal metastasis (p = 0.004). High PD L1 expression was significantly associated with poor differentiation (p = 0.03), advanced stage (p = 0.001), and lymph node metastasis (p = 0.002). Multivariate logistic regression identified high HIF 1 alpha expression (OR = 3.8, p = 0.001), iCAF dominance (OR = 4.5, p < 0.001), and advanced tumor stage (OR = 2.9, p = 0.004) as independent predictors of high PD L1 expression. Combined high HIF 1 alpha expression and CAF activation demonstrated the highest rate of PD L1 positivity (76.7%, p < 0.001). ROC curve analysis demonstrated good predictive performance of the model with an area under the curve of 0.81. Conclusion: The present study demonstrates a significant interaction between hypoxia, stromal remodeling, and immune checkpoint activation in gastric carcinoma. High HIF 1 alpha expression and inflammatory CAF predominance are strongly associated with aggressive clinicopathological features and increased PD L1 expression, supporting the existence of a coordinated hypoxia stroma immune axis in gastric carcinoma progression. These findings may have potential implications for prognostic stratification and combined targeted therapeutic strategies.

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.

Objective: The purpose of this study is to determine how family history of cancer, genetic mutations, presenting symptoms, and comorbidity burden collectively influence cancer outcomes in patients with epithelial ovarian cancer. Methods: A retrospective analysis was conducted on all patients with epithelial ovarian cancer treated at the University of Missouri and Ellis Fischel Cancer Center between 2008 and 2024. Patient charts were reviewed for histological subtypes, stage of cancer, status of metastasis, CA-125 values, presenting symptoms, comorbidities, family history of cancer, genetic mutations, and survival outcome. Cox regression and association analyses were performed. Results: In this cohort of patients, comorbidities and genetic mutations did not influence ovarian cancer survival. While histological subtypes, CA-125 levels, and cancer stage remained strongly associated with survival. Significant associations were observed between certain presenting symptoms and cancer histological subtype, a family history of breast cancer, stage of cancer at diagnosis, the status of metastasis, and CA-125 levels. Conclusion: Comorbidities and genetic mutations were not significantly associated with ovarian cancer survival. Presenting symptoms were associated with several clinical and pathological variables linked to ovarian cancer diagnosis.

Purpose: Metastatic pancreatic ductal adenocarcinoma (PDAC) portends a poor prognosis. Prior studies have assessed the association of socioeconomic deprivation (SED) in PDAC often with large geographic areas. This study employed a causal framework to characterize neighborhood SED on treatment receipt and survival in metastatic PDAC. Methods: Using the incidence-based Florida Cancer Data System, metastatic PDAC patients diagnosed from 2007-2015 were identified. The Area Deprivation Index, a composite measure of SED that ranks neighborhoods from 1-100 (higher scores = higher deprivation), was used to assess receipt of systemic therapy and overall survival (OS). Exposures and covariates were assessed using descriptive statistics and a causal inference framework. Results: Overall, 9,574 patients met inclusion criteria. 46.6% of patients received systemic therapy, ranging 39.4% to 54% in the highest and lowest SED quartiles, respectively. After adjustment, the lowest quartile had increased odds of systemic therapy relative to the highest (OR 1.93; 95% CI 1.70-2.18). Median OS was 3.8 months for the lowest quartile and 2.4 months for the highest (p = 0.01). Patients in the highest quartile had an estimated 32% higher hazard of death than the lowest (HR 1.32, 95% bootstrap CI 1.20-1.40). Conclusion: In an incidence-based statewide cohort, most patients did not receive treatment for metastatic PDAC and median OS was poor-2.9 months. Using a causal inference framework, higher SED led to lower rates of systemic therapy receipt and worse overall survival in metastatic PDAC. Future research should focus on the mechanisms that shape these findings.

Tumour hypoxia is associated with increased invasiveness, metastasis, and drug resistance; however, its impact on drug-metabolising enzymes remains poorly understood. This study investigated the effect of hypoxia on the expression of selected aldehyde dehydrogenase (ALDH) isoforms (ALDH1A1, 1A2, 1A3, 1B1, 2, 3A1, and 7A1) in colorectal cancer (CRC) cells. CRC cell lines (HT29, DLD-1, SW480, and HCT116) were cultured under normoxic and hypoxic (0.1% O2) conditions, while HT29 and DLD-1 cells were additionally grown as multicellular spheroids (MCS). Expression of ALDH isoforms was assessed at the mRNA and protein levels. Functional studies included siRNA-mediated knockdown of ALDH1A1, ALDH3A1, and ALDH7A1, measurement of reactive oxygen species (ROS), and stable overexpression of ALDH7A1 in H1299 cells. ALDH7A1 was consistently upregulated at both transcript and protein levels in HT29 and DLD-1 cells exposed to hypoxia. Elevated ALDH7A1 expression was also observed in hypoxic regions of MCS and CRC xenografts (HT29, DLD-1, HCT116, SW620, and COLO205). Knockdown of ALDH7A1 in DLD-1 cells reduced proliferation, increased ALDH3A1 expression, and significantly elevated ROS levels, indicating a role in redox homeostasis and suggesting functional crosstalk between these isoforms. Conversely, stable overexpression of ALDH7A1 in H1299 cells markedly reduced ROS levels. Taken together, these findings identify ALDH7A1 as a hypoxia-responsive enzyme that promotes adaptation to oxidative stress and may contribute to CRC cell survival within the hypoxic tumour microenvironment.

Introduction Patients undergoing polypectomy at colonoscopy remain at risk of metachronous neoplasia despite surveillance guided by histopathological features. Mutational profiling of adenomas, including canonical driver mutations in APC, KRAS, and TP53, may offer additional predictive value. This study aimed to determine whether mutational status in index adenomas was associated with metachronous lesion risk. Methods The INCISE cohort included patients aged 50 to 74 years who underwent polypectomy within the Scottish Bowel Screening Programme and subsequent surveillance colonoscopy within 6 years. Targeted next-generation sequencing was performed on formalin-fixed paraffin-embedded polyps. Driver mutation frequency, tumour mutational burden (TMB), and variant allele frequency (VAF) were analysed and correlated with histopathological features and metachronous outcomes using appropriate statistical models. Results A total of 895 adenomas from 723 patients were analysed. In conventional adenomas, as the number of high-risk histopathological features (size >=10mm, villous architecture, and high-grade dysplasia) increased there was a stepwise increase in the proportion of samples with a mutation in KRAS from 13% to 51% (padj<0.001) and TP53 from 8% to 35% (padj<0.001). However, neither mutation frequency (p=0.901), nor median tumour mutation burden (TMB) (2.27 vs 2.15 mut/Mb, p=0.242), in index adenomas was associated with the development of metachronous lesions. Conclusions While classical driver mutations reflect histopathological progression within adenomas, they do not predict metachronous lesion risk post-polypectomy. Targeted mutation profiling alone is insufficient for surveillance risk stratification, highlighting the need for integrated molecular approaches in this setting.

Background: Pancreatic ductal adenocarcinoma (PDAC) has remained one of the most serious malignancies and is still a leading cause of cancer-related deaths worldwide. Great attention has been paid to the relationship between diabetes mellitus and PDAC. The aim of our study was to analyse the mutual association of PDAC and diabetes mellitus in the entire population of the Czech Republic within a 5-year period. Methods: The incidence of PDAC in 2018-2022 was estimated based on the individual population data from the Czech National Cancer Registry. Another data source, the National Registry of Reimbursed Health Services that collects data from health insurance companies, was used to identify individuals recently diagnosed with diabetes mellitus. For the purpose of this study, diagnosis of new-onset of diabetes mellitus was defined as the time of the first prescription of any antidiabetic drug or another related health care service. Subsequently, patients diagnosed with PDAC in 2022 were followed retrospectively to see if they had been diagnosed with diabetes mellitus in the last five years before diagnosis of pancreatic cancer. Results: In 2022, 2,189 patients aged 60 years or older were diagnosed with pancreatic cancer. New-onset diabetes was observed in 17.4% within five years prior to diagnosis, with the highest occurrence (12.4%) within the last three years. Among patients aged 60-74 years, the respective proportions were 14.4% within three years and 5.7% four to five years prior to pancreatic cancer diagnosis. Conclusion: The incidence of pancreatic cancer in the Czech Republic is among the highest in Europe. One-fifth of PDAC cases are diagnosed following new-onset diabetes mellitus in patients over sixty. Unintended significant weight loss combined with new-onset diabetes thus must not be overlooked, as these can be early signs of PDAC. An individualised diagnostic work-up should follow without any unnecessary delay.

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.

Background: Patients aged [&le;]50 years with early-stage HR+/HER2- breast cancer are considered to have an aggressive disease biology and are treated with chemotherapy. However, a subset may still experience favourable outcomes without chemotherapy. Commercially available prognostic tests help guide such treatment decisions, but most are developed and validated predominantly in Western populations, with an underrepresentation of Asian patients. In this study, we explore the prognostic value of CanAssist Breast (CAB), a proteomic prognostic test, in optimal treatment management of patients aged [&le;]50 years. Methods: This study includes a previously published retrospective cohort. The performance of CAB was evaluated using Kaplan-Meier analysis, with 5-year Distant recurrence-free interval (DRFI) from diagnosis as the endpoint; the study also used multivariate analysis to evaluate the independent prognostic value of CAB. Results: In the retrospective cohort, CAB identified 70% as low-risk (LR) and 30% as high-risk (HR) with DRFI of 93.1% (P<0.0001); further classification showed 64% LR and 36% HR in the Asian and 75% LR and 25% HR in the Caucasian subgroup. In patients with N0 disease, CAB identified 85% as LR and 15% as HR. In N+ patients, CAB identified 49% as LR. All CAB LR patients have an acceptable DRFI of >90% at 5 years from diagnosis. Conclusions: Based on the results presented, CAB adds prognostic value for patients [&le;]50 years and can be used as a treatment guidance tool for these patients.

Background Zinc finger protein 36-like 1 (ZFP36L1) is an AU-rich element-binding RNA-binding protein that regulates post-transcriptional gene expression and has been implicated in tumor progression, cell-cycle regulation, and DNA damage responses. However, its functional role in triple-negative breast cancer (TNBC) remains poorly understood. This study investigated the effects of CRISPR/Cas9-mediated ZFP36L1 knockout on cell proliferation, doxorubicin (DOX) sensitivity, cell-cycle progression, and DNA damage responses in MDA-MB-231 TNBC cells. Methods Wild-type (WT) and CRISPR/Cas9-generated ZFP36L1 knockout (KO) MDA-MB-231 cells were cultured under standard conditions. Cellular proliferation was evaluated by cell counting over three weeks. Cell viability following DOX treatment was determined using the MTT assay, and half-maximal inhibitory concentration (IC50) values were calculated. Cell-cycle distribution was assessed by propidium iodide flow cytometry after 24 h of DOX exposure, while DNA damage was quantified by {gamma}-H2AX flow cytometric analysis. Statistical significance was determined using Student's t-test with P < 0.05 considered significant. Results ZFP36L1 knockout reduced the proliferative capacity of MDA-MB-231 cells compared with WT cells. Both cell lines exhibited dose-dependent decreases in viability following DOX treatment. KO cells demonstrated a higher mean IC50 than WT cells (9.64 vs. 8.40 M), indicating a trend toward reduced DOX sensitivity; however, this difference was not statistically significant (P = 0.569). Flow cytometric analysis revealed enhanced accumulation of KO cells in the S and G2/M phases following DOX treatment, suggesting altered cell-cycle checkpoint regulation. Furthermore, KO cells exhibited elevated basal {gamma}-H2AX expression and greater DOX-induced {gamma}-H2AX accumulation than WT cells, indicating increased DNA damage and impaired maintenance of genomic stability. Conclusions CRISPR/Cas9-mediated loss of ZFP36L1 suppresses proliferation, alters cell-cycle checkpoint dynamics, and enhances DNA damage accumulation in MDA-MB-231 TNBC cells. These findings indicate that ZFP36L1 plays a context-dependent role in regulating genomic stability and cellular responses to genotoxic stress, highlighting its potential as a biomarker and therapeutic target in triple-negative breast cancer.

Background Therapy resistance in pancreatic ductal adenocarcinoma (PDAC) is facilitated by the desmoplastic tumor microenvironment (TME) orchestrated by cancer associated fibroblasts (CAFs). Upon activation, pancreatic stellate cells (PSCs) deplete their intracellular retinoic acid (RA)-containing lipid droplets and secrete stromal remodeling proteins like pentraxin 3 (PTX3), leading to cancer progression. Preclinical evidence indicates that all-trans RA (ATRA) reprograms the TME, while circulating vitamin A and PTX3 were proposed as biomarkers for ATRA response in PDAC. To support further clinical development of RA-based therapies in PDAC, we studied the effects of ATRA on CAFs and patient-derived organoids (PDO) and evaluated the clinical relevance of these biomarkers in PDAC patients. Methods We employed viability assays in human and murine organoid mono- and co-culture models to explore the efficacy of adding ATRA to gemcitabine (GEM). In parallel, we conducted a prospective observational study and assessed vitamin A and PTX3 as response biomarkers in peripheral blood collected before first treatment and at cycles 2 and 4 of treatment among patients with advanced PDAC receiving GEM with or without nab-paclitaxel (NAB-P). Results In PDO monocultures, a significant additive effect of ATRA in combination with GEM on viability was observed in 5 (41%) of 12 PDOs and this effect was numerically more frequent in organoids from patients who had clinically responded to GEM. In human and murine 3D PDO+PSC/CAF co-cultures, ATRA demonstrated an additional direct impact on the viability of stromal cells. Clinically, among 18 patients with PDAC treated with GEM+/-NAB-P, patients with no treatment response (n=10) showed an increase in PTX3 and concomitant decrease in vitamin A levels under therapy. In contrast, response was associated with stable vitamin A levels and a trend towards lower PTX3 levels during chemotherapy. Conclusions Our preclinical data support the repurposing of ATRA, an agent with favorable toxicity profile, to potentiate the efficacy of GEM in PDAC treatment. Complementing these results, our clinical data suggest vitamin A and PTX3 as promising response biomarkers in PDAC treatment, not restricted to ATRA containing regimens.

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.

BackgroundRadiotherapy can provide durable local control for optic pathway-hypothalamic glioma (OPHG), but its use is limited by concern regarding delayed vascular, endocrine, visual, oncological, and neurological toxicities. ObjectiveTo systematically characterize and quantify the safety of radiotherapy and radiosurgery for OPHG and explore clinically relevant modifiers of treatment-related toxicity. MethodsPubMed, Scopus, Web of Science, Embase, Cochrane, Google Scholar, and ClinicalTrials.gov were searched from inception through 1 June 2026. Eligible non-randomized studies reporting safety outcomes after radiotherapy or radiosurgery were included. Random-effects binomial-normal generalized linear mixed-effects models were used to pool proportions, with exact conditional models for sparse comparative analyses. ResultsThirty-five studies were included, of which 31 contributed event-level data to at least one quantitative safety outcome. The pooled incidence of any treatment-related toxicity was 8.46% (95% CI, 1.37-38.01%). Vasculopathy occurred in 9.44% (95% CI, 5.22-16.49%). Secondary neoplasms occurred in 5.41% (95% CI, 2.23-12.53%), decreasing to 2.83% under a strict malignant-event definition. Incident endocrinopathy had the highest pooled estimate at 21.19% (95% CI, 4.72-59.31%) and increased with longer follow-up. Treatment-related visual toxicity was 2.26%, whereas radiation-related mortality was 0.59%. Radiation necrosis, severe toxicity, and treatment-attributed neurocognitive toxicity were sparsely reported. ConclusionLate toxicity following radiotherapy for OPHG is heterogeneous, with endocrinopathy, vasculopathy, and secondary neoplasms representing the principal quantifiable safety concerns. Treatment decisions should therefore be individualized, with prolonged vascular, endocrine, visual, and oncological surveillance and further prospective evaluation of contemporary radiation techniques.

Purpose/Objective There is paucity of data reporting outcomes of breast cancers with initial internal mammary nodal involvement and no visceral metastases, treated with curative hypofractionated radiotherapy . We report the outcomes from a tertiary centre alongside spatial patterns of recurrences in the above group Material/Methods For this retrospective cross-sectional study, consecutive patients contoured as per the ESTRO 2013 guidelines, treated between 2016-2022 were eligible if their diagnostic imaging demonstrated involvement of the internal mammary nodes. Radiotherapy (40 Gy/15#/3 weeks) was delivered to the residual breast / thoracic wall, SCF region corresponding to the ESTRO lymph node level 4 and internal mammary chain nodes. Residual IMN/ level 4 nodes received a boost of 10Gy/5#. Spatial mapping of sites of recurrence at the local site and three nodal sites (axilla, SCF and IMN) was performed using deformable image registration. Sites of recurrence at the local site and three nodal levels were contoured separately. Volumetric intersection of the recurrent gross tumour volume (GTV_recurrence) with treated clinical target volume (CTV) was calculated. Actuarial overall (OS), disease free survival (DFS) & cumulative incidence of local (LR), regional (RR) and loco-regional recurrence(LRR) were calculated using Kaplan Meier method. Univariate comparison of outcomes with or without residual disease was performed using the log rank test. Results The median age of the 61 eligible women was 49 years. 77% received neoadjuvant chemotherapy and the rest adjuvant chemotherapy. 82% patients had a mastectomy. Axillary lymph node dissection was done in 96.7%. Boosts to residual IMN and SCF nodes were delivered to 21(34.4%) and 2 (3.3%) respectively. Median follow up was 3.6 years. Out of the 61 patients, 42 patients were disease free with an estimated 3 year disease free survival of 75% (95% CI 64, 88%). Spatial mapping of locoregional recurrence was possible in all but 1 patient with local (only) recurrence who was lost to follow-up after mammogram only. Among the patients with loco regional recurrence 1 had recurrence in local site + SCF +axilla, 3 had recurrence in the SCF+axilla, 2 in the SCF+IMN and 1 in the axilla+SCF+IMN. Only one patient had isolated axillary recurrence or isolated SCF recurrence. There were no IMN only recurrences. Among the 8 patients with nodal recurrence, a total of 27 individual GTV_recurrence were identified in the axilla(n=11), SCF(n=11) and IMN (n=5). IMN recurrences showed complete or partial overlap with CTV. SCF recurrences were a mix with predominantly in-field recurrences while axillary recurrences occurred outside the treated volume.Four (6.6%) patients had Grade 2 lymphoedema as documented late side effect. Conclusion Aggressive treatment of IMN disease with adjuvant radiation is effective with good locoregional control. Systemic recurrences are common and may benefit from intensification strategies.

Background: Patient-reported measures (PRMs), including patient-reported outcome and experience measures, capture patients perspectives on their health status and healthcare experiences. In cancer genetics, PRMs have been used to assess genetic knowledge, psychosocial outcomes, and decision-making. However, patients must understand these measures to provide useful information, an ability which is influenced by general and health literacy levels. Readability guidelines recommend that patient-facing materials be written at or below a Grade 6 level. This study evaluated the readability of PRMs used in a cancer genetic testing context. Objective: To assess whether PRMs used in heritable cancer genetic testing meet recommended readability levels using validated indices. Methods: PRMs were identified from a recent systematic review of PRMs used in heritable cancer genetic testing, which reported 83 instruments across eight categories. English-language PRMs containing structured question items and response scales were eligible for extraction and converted into plain text for analysis. Readability was assessed using four validated indices: Flesch Kincaid Grading Level (FKGL), FORd, CAylor, and STicht (FORCAST) formula, Flesch Reading Ease Score (FRES), and Simple Measure of Gobbledygook (SMOG) via an automated readability software. Descriptive analysis and numerical comparison evaluated readability levels across PRM categories and against the recommended Grade 6 reading level. Results: Sixty-five PRMs met the eligibility criteria, with most, including validated instruments, exceeding the recommended Grade 6 reading level. Across the eight categories, genetics-specific PRMs required the highest readability levels, indicating higher readability demands. Conclusions: Most PRMs, particularly those specific to genetics, do not meet readability guidelines. This may limit their accessibility to individuals with limited general and health literacy. Development of PRMs specific to genetics should consider strategies to improve readability, such as plain-language approaches and involvement of individuals with limited general or health literacy. Keywords: readability, patient-reported measures, cancer, genetic testing, health literacy

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.

Objective: Tumor protein D52 (TPD52) is aberrantly expressed in various malignancies; however, its systematic expression profile, prognostic significance, tumor microenvironment associations, and functional mechanisms in breast cancer remain poorly defined. Methods: GEO and TCGA breast cancer expression datasets were integrated to identify differentially expressed genes (DEGs). We evaluated the diagnostic performance of TPD52 via protein-protein interaction (PPI) network analysis, GO/KEGG enrichment analysis and eleven machine learning algorithms. Immunohistochemistry verified TPD52 protein expression in clinical specimens, and Kaplan-Meier analysis assessed its prognostic significance. Analysis of single-cell transcriptomic data (GSE176078) revealed the cell-type-specific distribution of TPD52 and its intercellular communication network in the breast cancer microenvironment. Weighted gene co-expression network analysis (WGCNA) explored relationships between TPD52 and tumor microbiome, hypoxia signatures as well as microsatellite instability. Moreover, TPD52 was knocked down by siRNA in MCF7 cells, and its impacts on cell migration, invasion, proliferation and the MAPK/ERK signaling pathway were examined through wound healing, Transwell, CCK-8 and Western blot assays. Results: TPD52 was significantly overexpressed in breast cancer tissues at both the mRNA and protein levels. A random forest-based diagnostic model demonstrated high accuracy across multiple datasets. Kaplan-Meier analysis revealed that elevated TPD52 expression was associated with longer overall survival in specific subgroups, including the basal-like subtype, invasive lobular carcinoma, and N0/N1 stages. Single-cell analysis showed that TPD52 was predominantly expressed in tumor epithelial cells, which occupied a central position within the intercellular communication network. WGCNA further identified a positive correlation between TPD52 and a hypoxia-associated microbial module, as well as a negative correlation with a microsatellite instability module. In vitro functional assays confirmed that TPD52 knockdown significantly suppressed the migration, invasion, and proliferation of MCF7 cells, and led to reduced p-ERK1/2 protein levels. Conclusion: TPD52 promotes the malignant phenotypes of breast cancer cells through activation of the MAPK/ERK signaling pathway, yet its prognostic significance is subtype- and microenvironment-dependent. These findings establish TPD52 as both a diagnostically valuable biomarker and a mechanistically defined potential therapeutic target.

MicroRNAs (miRNAs) are small non-coding RNAs that regulate gene expression primarily in the cytoplasm. However, emerging evidence highlights their additional roles in the nucleus. In particular, spliceosomal miRNAs have been implicated in novel regulatory functions, including the modulation of gene expression. Here, we investigate the nuclear role of spliceosomal miR-99b in breast cancer cells, focusing on its interaction with the long non-coding RNA (lncRNA) SPACA6-AS1. Using non-tumorigenic (MCF-10A) and breast cancer cell lines (MCF-7 and MDA-MB-231), we demonstrate that spliceosomal miR-99b expression increases with malignancy and correlates with elevated SPACA6-AS1 pre-mRNA levels. Notably, miR-99b exhibits full complementarity to the 5-prime splice junction of SPACA6-AS1, suggesting a direct role in splicing regulation. Functional assays reveal that inhibition of miR-99b reduces SPACA6-AS1 pre-mRNA levels, whereas its overexpression enhances pre-mRNA accumulation, indicating that miR-99b promotes the formation or stabilization of the unspliced transcript. Furthermore, increased miR-99b expression is associated with altered ratios of SPACA6 isoforms, supporting a broader role in RNA-level regulation of gene expression. Phenotypically, miR-99b enhances breast cancer cell migration and is required for efficient invasion, particularly in highly aggressive cancerous cells. Our findings uncover a novel nuclear function of miR-99b in modulating lncRNA splicing and gene expression. This spliceosomal miR-99b-SPACA6-AS1 axis represents a previously unrecognized regulatory pathway that contributes to breast cancer progression and may provide a potential target for diagnostic and therapeutic strategies.

Purpose Modified FOLFIRINOX (FFX) and gemcitabine plus nab-paclitaxel (GNP) are standard first-line treatments for metastatic pancreatic ductal adenocarcinoma (PDAC), but no validated biomarker guides treatment selection. We developed MULTIPL, a multimodal machine learning system, and established the PASS-01 Challenge to benchmark prognostic and predictive biomarkers. Patients and Methods MULTIPL was trained in the COMPASS study (N=268), integrating clinical, digitized histopathology, whole-genome, and RNA-seq data. MULTIPL, PurIST, hENT1 expression, and HRDetect were evaluated in the PASS-01 trial, a randomized phase II trial of FFX versus GNP (N=160), within the Challenge. The primary endpoint was differential treatment benefit measured by concordance-for-benefit for progression-free survival. Results MULTIPL had the highest concordance index for OS among individually evaluated biomarkers (0.595; 95% confidence interval [CI], 0.55-0.65) and separated high- versus low-risk patients (hazard ratio, 1.62; 95% CI, 1.13-2.33; P=0.009). Patients recommended for GNP by MULTIPL had significantly longer OS with GNP than with FFX (hazard ratio, 0.47; 95% CI, 0.28-0.82; P=0.007), whereas patients recommended for FFX had similar OS between treatments. Interpretability analysis of MULTIPL in COMPASS identified KDM6A alterations and SSTR1 expression as prognostic biomarkers, which were validated in PASS-01. However, none of the tested biomarkers significantly predicted differential treatment benefit in the PASS-01 Challenge. Conclusion MULTIPL demonstrated robust prognostic performance in external validation, identified a subgroup enriched for benefit from GNP, and enabled discovery and validation of prognostic biomarkers in metastatic PDAC. However, no biomarker met the primary endpoint for differential treatment benefit, underscoring the value of the PASS-01 Challenge.