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PubMed2026

Application of a Translational Research Platform to Unveil Efficacy Signals and Mechanisms of Resistance of FGFR Inhibitors in Multiple FGFR-Altered Solid Tumors.

PURPOSE: The predictive value of fibroblast growth factor receptor (FGFR) amplifications (amp) and the role of FGFR mutations (mut) beyond known activating variants remain unclear. We aimed to establish a translational research platform to characterize FGFR alterations (alt) and explore their potential as predictive biomarkers for FGFR-targeted agents. EXPERIMENTAL DESIGN: This ambispective study included a retrospective analysis of patients with FGFR-alt tumors treated with selective FGFR inhibitors (FGFRi) and a prospective collection of longitudinal tumor samples. Patient-derived xenografts (PDX) were generated to investigate FGFRi mechanisms of action and resistance. Molecular characterization included genomic, transcriptomic, proteomic, and functional analyses using the Functional Annotation for Cancer Treatment (FACT) assay. RESULTS: Among 36 retrospectively analyzed patients, clinical benefit from FGFRis was observed in cases with FGFR mRNA overexpression or FGFR2/11q co-amp, but no association was found with the amplification levels. In archival tumor samples, exploratory proteomic analysis showed FGFR1-4 protein expression in 78% of FGFR1/2-amp tumors detected by fluorescence in situ hybridization. RNA sequencing identified a higher prevalence of FGFR mRNA overexpression than proteomic analysis. Among patients harboring FGFR-mut, only one bladder cancer with an FGFR3-mut S249C derived benefit. FACT assay supported the functional activity of selected variants, including FGFR3 T689M, and suggested potential resistance mechanisms involving PI3K/PTEN and MAPK pathway co-alterations. A prospective FGFR-alt PDX biorepository enabled exploratory biomarker analyses, supporting the hypothesis that FGFR1-4 mRNA expression may better reflect FGFR dependency than genomic alterations alone. CONCLUSIONS: These findings highlight the complexity of FGFR-driven oncogenesis and support integrative molecular approaches to refine patient selection for FGFR-targeted therapies.

Humans↗

PubMed2026

Molecular and Clinical Determinants of Targeted Therapy Treatment in Biliary Tract Cancer.

PURPOSE: Actionable genomic alterations occur in all anatomic subsets of biliary tract cancer; however, targeted therapies have not shown a survival advantage over cytotoxics, and resistance mechanisms require further characterization. EXPERIMENTAL DESIGN: We analyzed a prospectively maintained cohort of 1,254 patients with histologically confirmed biliary tract cancer who underwent molecular profiling using an FDA-authorized targeted next-generation sequencing (NGS) assay. We defined actionable alterations across anatomic subsets, compared outcomes with targeted therapy versus cytotoxics, and evaluated genomic correlates of resistance using longitudinal samples. RESULTS: Overall, 59% of patients harbored at least one OncoKB alteration, and 32.2% (intrahepatic 40%, extrahepatic 15%, and gallbladder 22%) had a level 1/2 alteration. Emerging targets included KRAS alterations (17%), MTAP deletions (12.8%), MDM2 amplification (6.5%), and MET amplification (1.5%). Targeted therapy was associated with improved progression-free survival but not overall survival. Co-occurring TP53/RAS pathway and SMAD4 alterations were associated with inferior outcomes in IDH1/FGFR2-and ERBB2-driven tumors, respectively. Longitudinal profiling demonstrated ERBB2 loss in ERBB2-driven tumors, whereas IDH-, FGFR-, BRAF-, and NTRK-driven tumors retained the primary oncogenic driver. Acquired resistance was associated with alterations in RAS, MEK, MET, MYC, and CDKN2A. CONCLUSIONS: This comprehensive molecular profiling study illustrates the real-world utility and limitations of targeted NGS of biliary tract cancer and affirms the use of precision medicine in patients with these diseases. Genomic heterogeneity and therapeutic resistance observed in this study has the potential to inform ongoing drug development efforts for biliary tract cancer.

Humans↗

PubMed2026

Epigenetic Liquid Biopsy Enables Universal Mutation-Agnostic Molecular Surveillance for High-Risk Neuroblastoma.

PURPOSE: Liquid biopsy monitoring in pediatric solid tumors is limited by low mutational burden and lack of trackable genomic drivers. We sought to develop a mutation-agnostic, methylation-based liquid biopsy framework enabling universal molecular surveillance of high-risk neuroblastoma. EXPERIMENTAL DESIGN: Using whole-genome Oxford Nanopore Technologies sequencing of high-risk neuroblastoma tumors, we compared tumor-derived methylation profiles with a comprehensive atlas of normal human cell types and identified 72 neuroblastoma-specific differentially methylated regions (meNBL) that were reliably detectable in cell-free DNA (cfDNA). Marker robustness and specificity were validated using independent neuroblastoma methylation datasets and assessed against methylation profiles from other cancer types. We established neuroblastoma as a distinct methylation entity within the reference atlas by integrating a panel of 25 meNBLs, enabling quantitative estimation of tumor-derived cfDNA. Assay performance was evaluated across diagnostic, remission, relapse, and healthy control samples and compared with mutation-based and copy number-based approaches. RESULTS: Neuroblastoma-derived cfDNA was consistently detected at diagnosis and relapse but was absent in healthy controls and during confirmed remission. Methylation-based deconvolution demonstrated high specificity, with no detectable background signal in controls, and improved performance relative to copy number-based tumor fraction estimation. Longitudinal profiling enabled early molecular detection of relapse and reliable disease monitoring. CONCLUSIONS: We establish a robust, mutation-independent methylation-based liquid biopsy strategy for neuroblastoma that enables accurate, quantitative disease monitoring across all high-risk patients, including those lacking trackable genomic alterations. This approach supports the clinical translation of methylation-based cfDNA deconvolution as a broadly applicable platform for pediatric precision oncology.

Humans↗

PubMed2026

High-Sensitivity ctDNA Analysis Uncovers Relevant Signals Missed by NGS in Pancreatic Cancer.

PURPOSE: Pancreatic ductal adenocarcinoma (PDAC) carries high mortality despite multimodal therapy, and improved biomarkers are needed to guide perioperative care. This study evaluated the prognostic significance of Kirsten rat sarcoma virus (KRAS)-mutant circulating tumor DNA (ctDNA) detected by next-generation sequencing (NGS) and digital droplet PCR (ddPCR) in localized PDAC. EXPERIMENTAL DESIGN: In this prospective cohort study (2020-2024), patients with localized PDAC undergoing neoadjuvant chemotherapy (NAC) were enrolled across multiple sites within Northwestern Medicine. Blood samples for ctDNA were assessed at diagnosis, after NAC, and after resection using tumor-agnostic NGS and ddPCR targeting KRAS G12D/V/R mutations. Overall survival (OS) was assessed using Kaplan-Meier analysis. RESULTS: The cohort included 106 patients. At diagnosis, KRAS ctDNA was detected in 17.2% (17/99) by NGS and 64.9% (63/97) by ddPCR. Detection by both platforms was associated with shorter OS, with the higher-sensitivity ddPCR assay providing greater prognostic discrimination by identifying additional patients with poor outcomes not captured by NGS (NGS median OS 11.2 vs. 30.5 months, P < 0.001; ddPCR median OS 24.7 vs. 70.9 months, P = 0.004). Stratified by detection method, median OS was shortest in patients with ctDNA detected by both NGS and ddPCR (10.9 months), longest in those not detected by either platform (40.7 months), and intermediate in patients detected only by ddPCR (26.9 months; P < 0.001). CONCLUSIONS: In localized PDAC, KRAS-mutant ctDNA detected by NGS or ddPCR was associated with worse survival. ddPCR identified additional patients missed by NGS. Integrating ddPCR with NGS ctDNA measures may improve perioperative risk stratification, although validation is needed before clinical implementation.

Humans↗

PubMed2026

Network-Integrated Platform for Clinical Trial Navigation from the New South Wales Early Phase Clinical Trials Alliance.

PURPOSE: Access to early-phase clinical trials (EPCT) is increasingly constrained by delays in genomic testing and lack of coordinated system-level navigation. The New South Wales Early Phase Clinical Trials Alliance (NECTA) was established to improve EPCT access. Practical Assessment of NECTA Network Assistance in Cancer Outpatient Trials Access (PANNA-COTA) prospectively evaluated whether integrating circulating tumor DNA (ctDNA) profiling with a real-time, cross-site molecular tumor board (MTB) facilitates EPCT enrollment. PATIENTS AND METHODS: In this multicenter prospective study across nine NECTA sites, patients referred for EPCT consideration underwent ctDNA testing using the Guardant360 74-gene assay. The results were reviewed at a fortnightly MTB incorporating cross-site trial mapping and dynamic eligibility review. The primary endpoint was proportion enrolled into EPCTs. Secondary endpoints included ctDNA findings and trial outcomes. RESULTS: Of 104 consented participants, 101 were eligible. Participants had advanced, heavily pretreated solid tumors; 48% lacked prior tumor next-generation sequencing. ctDNA alterations were detected in 85%, with actionable alterations in 44%. Therapeutic options were identified in 88%, and EPCTs were recommended in 76%. Despite this, only 7% of participants received genomically matched therapy. In contrast, 37% enrolled in EPCTs within 3 months and 47% overall [95% confidence interval (CI), 0.37-0.56]. Among evaluable participants on trial, the disease control rate was 81% and objective response rate was 33%. CONCLUSIONS: PANNA-COTA demonstrates that integrating liquid biopsy with real-time, network-level trial navigation enables high rates of EPCT enrollment despite low rates of genomically matched therapy. These findings indicate that clinical trial access is influenced by navigation, eligibility, and system-level coordination rather than genomic actionability alone.

Humans↗

PubMed2026

Biomarker Analysis from Patients with Metastatic PDAC Treated with TGFβ Antibody NIS793 plus Abraxane + Gemcitabine versus Abraxane + Gemcitabine Alone in a Phase II, Open-Label, Randomized Study.

PURPOSE: Transforming growth factor β (TGFβ) plays a dual role in cancer, acting as a tumor suppressor early in the disease but promoting progression and immune evasion when dysregulated. In pancreatic ductal adenocarcinoma (PDAC), TGFβ-driven desmoplasia fosters chemoresistance and immunosuppression, limiting therapeutic efficacy. NIS793, a fully human mAb targeting TGFβ, demonstrated antifibrotic and immunomodulatory activity in preclinical models and early-phase trials. PATIENTS AND METHODS: We conducted a randomized, open-label, phase II study in treatment-naïve patients with metastatic PDAC (mPDAC) to evaluate NIS793 ± spartalizumab (anti-PD-1) combined with nab-paclitaxel (or Abraxane)/gemcitabine (ABRA/GEM) versus ABRA/GEM alone. The primary endpoint was progression-free survival (PFS); secondary endpoints included overall survival (OS), safety, pharmacokinetics, and biomarker analyses. Exploratory assessments included paired tumor RNA sequencing, cell-free DNA profiling, and plasma proteomics. RESULTS: NIS793 demonstrated target engagement and suppression of TGFβ signaling, confirmed by transcriptomic and proteomic analyses. Stromal remodeling was evident, with significant downregulation of cancer-associated fibroblast markers (Acta2, Fap) and collagen-related signatures. Despite proof of mechanism, clinical efficacy was not observed: Median PFS and OS were comparable or numerically worse in the NIS793 arm versus control (HR for OS in NIS793 + ABRA/GEM vs. ABRA/GEM: 1.32; 95% confidence interval, 0.84-2.07). The safety profile was manageable, with no unexpected toxicities. Biomarker data revealed increased expression of neutrophil-related genes after treatment, suggesting potential induction of tumor-promoting inflammation. CONCLUSIONS: NIS793 effectively inhibited TGFβ signaling and led to stromal remodeling but failed to improve outcomes in mPDAC. These findings highlight the complexity of TGFβ biology and caution against its blockade in combination with chemotherapy for PDAC. Future strategies should consider context-dependent effects of TGFβ inhibition.

Humans↗

PubMed2026

A Phase II Feasibility Study Combining Pembrolizumab and Metformin in Patients with Metastatic Head and Neck Cancer.

PURPOSE: Survival for recurrent/metastatic head and neck squamous cell carcinoma (R/M HNSCC) remains low with <20% immunotherapy response. Metformin increases tumor-infiltrating CD8+ T and natural killer (NK) cells, which harbor PD-1. In this phase II clinical trial (NCT04414540), we combined metformin and pembrolizumab to evaluate the overall response rate (ORR) in R/M HNSCC and assess NK-cell activity. PATIENTS AND METHODS: Eligible patients were randomized 1:1 into two arms: (i) metformin extended-release (ER) dose escalation to 2,000 mg over 14 days followed by combination with pembrolizumab 200 mg every 3 weeks or (ii) pembrolizumab 200 mg every 3 weeks followed by combination with metformin ER 2,000 mg daily. The primary endpoint was ORR per RECIST 1.1. Nineteen evaluable patients were planned to estimate the proportion of approximately 32% ORR. Safety was evaluated according to Common Terminology Criteria for Adverse Events v5.0. The distribution, activation, and cytotoxic function of NK cells were analyzed via flow cytometry. RESULTS: Twenty-one patients were enrolled; 76% were male, 52% were smokers, and the median age was 64 years. Ten patients had oropharyngeal tumors, of which nine were p16+. Eighteen patients were evaluable for response, including four complete and five partial responses for an ORR of 50% [95% confidence interval (29-71)]. Combination therapy was well tolerated with no unexpected adverse events (AE). Five grade 3 AEs occurred: nausea, diarrhea, fatigue, and weight loss. Metformin led to increased peripheral NK-cell maturation and cytotoxic ability. CONCLUSIONS: The combination of metformin and pembrolizumab was well tolerated with mild gastrointestinal AEs and promising activity, warranting further investigation in a randomized trial.

Humans↗

PubMed2026

Clinical Validation of a Multiplex Urine Biomarker Assay for Surveillance of Recurrent Bladder Cancer.

PURPOSE: More than 50% of patients with non-muscle-invasive bladder cancer experience recurrence, requiring lifelong surveillance with repeated cystoscopy. Given the invasive nature and cost of cystoscopy, accurate noninvasive tools are needed to support risk-adapted monitoring. We evaluated the ability of Oncuria-Monitor, a multiplex urine biomarker assay, to detect recurrent bladder cancer during surveillance. PATIENTS AND METHODS: Between February 2017 and August 2020, six medical centers in the United States and Japan prospectively enrolled 300 patients with a history of bladder cancer, generating 1,248 serial urine samples. Participants were divided into training and validation cohorts. At each surveillance visit over 2 years, urine samples were analyzed in a blinded manner using Oncuria-Monitor and BladderChek, alongside urine cytology. Test performance was compared with cystoscopy and histopathology-confirmed recurrence. RESULTS: Recurrent bladder cancer was identified in 31% (93/300) of participants, with 143 total recurrences during follow-up, including 90 tumors in the validation cohort. In the validation cohort, Oncuria-Monitor achieved a sensitivity of 85.6% [95% confidence interval (CI), 78.1%-92.2%] and a negative predictive value (NPV) of 93% (95% CI, 89.2%-96.4%). In comparison, BladderChek demonstrated a sensitivity of 20.0% and an NPV of 88%, whereas urine cytology showed a sensitivity of 36.9% and an NPV of 91.6%. The number needed to evaluate to detect one recurrence was 3 for both cystoscopy and Oncuria-Monitor, compared with 15 for BladderChek and 8 for cytology. CONCLUSIONS: In this large prospective longitudinal study, Oncuria-Monitor demonstrated clinically actionable performance, enabling a rule-out strategy that could safely reduce cystoscopy in approximately 25% of surveillance visits. These findings support a paradigm shift toward biomarker-guided, risk-adapted surveillance in bladder cancer that reduces unnecessary invasive procedures while maintaining oncologic safety.

Humans↗

PubMed2026

State of Cardiovascular Disease and Stroke in Hispanic/Latino Adults in the United States: A Scientific Statement From the American Heart Association.

Cardiovascular disease became the leading cause of death among Hispanic individuals in the United States in 2022. Hispanic adults experience a disproportionate burden of cardiometabolic risk factors, including obesity, diabetes, and dyslipidemia. Hispanic populations are highly heterogeneous, with substantial variations in genetic ancestry and sociocultural influences that shape cardiovascular disease risk and outcomes. The "Hispanic paradox," describing lower cardiovascular disease mortality despite higher risk factor burden, is increasingly recognized as an oversimplification that does not apply uniformly across Hispanic heritage groups, sexes, or disease types. Disaggregated data reveal substantial differences in risk profiles and disease burden among Hispanic heritage groups, emphasizing the limitations of treating this population as a monolithic unit. Recent evidence demonstrates widening disparities in hypertension control, obesity, diabetes, and metabolic diseases among Hispanic populations, threatening this prior mortality advantage. Advancing cardiovascular and equitable health will require developing a deeper understanding of the unique drivers of cardiovascular disease within diverse Hispanic communities, addressing barriers such as language and insurance access, and implementing culturally tailored interventions and policies. This scientific statement summarizes current cardiovascular disease epidemiology in Hispanic populations, emphasizing heritage group variation and social and structural determinants of health, and presents strategies to improve prevention and healthcare delivery. Key priorities for advancing cardiovascular health in Hispanic adults include expanding disaggregated data collection, increasing representation in research, and ensuring equitable implementation of precision medicine approaches, including genomics, multi-omics, and artificial intelligence, while addressing environmental exposures, psychosocial stressors, and policy-related drivers of risk in order to achieve the American Heart Association's 2028 Impact Goals to advancing health and hope for everyone, everywhere.

AHA Scientific Statements↗

PubMed2026

Dysregulated Ribonucleoprotein Granules Impair Mitochondrial Function in RBM20-Related Dilated Cardiomyopathy.

BACKGROUND: Pathogenic variants in RBM20 cause severe dilated cardiomyopathy. Loss-of-function variants disrupt splicing; neomorphic gain-of-function (GoF) variants also mislocalize RBM20 to cytoplasmic ribonucleoprotein granules and are associated with more aggressive disease. The mechanism by which RBM20 mislocalization drives cardiac dysfunction remains unknown. METHODS: We investigated the effects of Rbm20 GoF and loss-of-function (LoF) variants using proteomic profiling, protein solubility assays, mitochondrial respiration and calcium flux analyses, and ultrastructural imaging in mouse models. Human induced pluripotent stem cell-derived cardioids were used to validate variant-specific phenotypes. RESULTS: Rbm20 GoF, but not LoF, variants caused posttranscriptional downregulation of soluble mitochondrial proteins, including the calcium efflux regulator TMEM65 (transmembrane protein 65), and reduced solubility of mitochondrial membrane proteins. Electron microscopy revealed enlarged mitochondria with cristae disorganization. Functional assays confirmed impaired oxidative phosphorylation, reduced mitochondrial membrane potential, and abnormal calcium handling in Rbm20 GoF models. Human cardioids reproduced these findings, demonstrating that cytoplasmic mislocalization, rather than splicing deficiency, drives mitochondrial dysfunction. CONCLUSIONS: Cytoplasmic mislocalization of RBM20 disrupts mitochondrial function by reducing mitochondrial protein abundance, leading to oxidative phosphorylation failure and abnormal mitochondrial calcium handling. This mechanism distinguishes RBM20 GoF from LoF variants and may explain the more severe heart failure phenotype observed in patients with RBM20 GoF variants. These insights advance the mechanistic understanding of RBM20-related cardiomyopathy and identify mitochondrial mRNA/protein regulation as a key node in cardiac energetics.

cardiomyopathy, dilated↗

PubMed2026

Corrigendum to Genome-wide CRISPR screen identifies a cytokine-enhancer circuit driving HIF-2α activation in renal cancer.

Explore the source record for details and available documents.

Published Erratum↗

PubMed2026

RCoxNet: A Deep Learning Framework Integrating Random Walk with Restart, Mutation, and Clinical Data for Cancer Survival Prediction.

Accurate survival prediction in cancer remains challenging due to the sparsity of somatic mutation profiles and the failure of existing models to capture higher-order gene-gene dependencies. Network diffusion methods such as Random Walk with Restart (RWR) can propagate mutation signals across protein-protein interaction (PPI) networks to address sparsity, yet their integration within a deep learning Cox survival framework has not been comprehensively benchmarked across multiple cancer cohorts. We present RCoxNet, a deep learning framework that maps somatic mutation profiles onto a ConsensusPathDB-derived PPI network via RWR, selects prognostic genes by log-rank filtering, and processes network-informed mutation scores through three fully connected hidden layers feeding into a Cox proportional hazards output. RCoxNet was evaluated on The Cancer Genome Atlas (TCGA) cohorts for four cancer types (breast invasive carcinoma [BRCA], lung adenocarcinoma [LUNG], glioblastoma multiforme [GBM], and ovarian serous cystadenocarcinoma [OV]) using 20 independent random splits. The model achieved mean C-index values of 0.807 ± 0.044 (BRCA), 0.750 ± 0.039 (LUNG), 0.704 ± 0.041 (GBM), and 0.668 ± 0.036 (OV), consistently outperforming DeepSurv, Cox-nnet, SurvivalNet, Cox Elastic-Net (Cox-EN), and DeepHit, with statistically significant gains over Cox-EN, Cox-nnet, SurvivalNet, and DeepHit across the majority of cohorts. RCoxNet demonstrates that embedding sparse mutation profiles into a PPI network context substantially improves cancer survival prediction and yields biologically interpretable prognostic features relevant to precision oncology.

cancer survival prediction↗

PubMed2026

Population genomics, demography, and circum-Baltic connectivity of Early Medieval southwestern Finland.

BACKGROUND: Knowledge of Early Medieval Finland (1050-1250 CE) relies primarily on archaeological evidence, as contemporary sources are scarce. The available evidence indicates two distinct cultural-economic zones: coastal and inland. Using newly generated genomic data from 34 ancient individuals alongside modern Finnish genomes, we characterise Late Iron Age and Early Medieval ancestry in southwestern Finland, reconstruct demographic patterns, and place individuals within a circum-Baltic relatedness network. RESULTS: Early Medieval ancestry in inland southwestern Finland was very similar to that of present-day inhabitants. Ancient coastal and inland individuals were genetically indistinguishable, whereas modern coastal populations showed substantially more Scandinavian ancestry, and less Baltic ancestry compared to their ancient counterparts. IBD (identity-by-descent) analyses also indicate a major genetic shift in the coastal zone since the Early Medieval Period. Effective population size increased throughout the study period and was ~ 13,000 by 1250 CE. IBD links between Scandinavia and Early Medieval Finland align with known archaeological connections. Furthermore, we identify IBD links between individuals from Early Medieval Finland and victims of the Kronan warship sinking. CONCLUSIONS: We demonstrate nearly a millenium of population continuity in the inland zone of southwestern Finland, contrasted by a large, contemporaneous genetic shift in the coastal zone. This ancestry shift corresponds with documented medieval emigration from Sweden to Finland. The regional population rapidly expanded during this time period, likely due to new agricultural practices and favourable climatic conditions. Our circum-Baltic IBD network indicates that southwestern Finland was firmly embedded into the wider, pre-modern Baltic world.

Humans↗

PubMed2026

From immature to mature epithelium: unveiling structural dynamics and transcriptional programs in rainbow trout intestinal barrier.

The intestinal epithelium is crucial for nutrient absorption, immune defense, and barrier function in farmed fish. However, the molecular mechanisms underlying its development and maturation in salmonids remain poorly characterized, hindering our ability to address pervasive gut health challenges in aquaculture. In this study, we use the RTgutGC cell line to implement an epithelial maturation model with the aim of characterizing the global transcriptional program in rainbow trout (Oncorhynchus mykiss). We evaluated in vitro culture conditions to generate a polarized epithelial barrier with high transepithelial electrical resistance (TEER = 75.8 Ω × cm2), low permeability (6.2 × 10-6 cm/s), and well-defined apical specializations, including microvilli-like structures and clusters of these structures (brush border). Comparative transcriptomic profiling between immature (7 days post-seeding, dps) and mature (28 dps) epithelia revealed 3,817 differentially expressed genes (DEGs). Functional enrichment analysis showed that maturation was characterized by the downregulation of proliferative and ribosomal pathways and the concerted upregulation of processes critical for barrier function, including transmembrane transport, proteolysis, cell adhesion, extracellular matrix organization, and tight junction assembly. We identified a core set of 60 genes indicators of epithelial maturation, encompassing solute transporters (slc26a6, slc43a2), tight junction proteins (tjp1, cldn1, cldn3, cldn5, cldn18, among others), and structural components essential for microvilli formation and polarization (cdhr5b, pard6a). By integrating ultrastructural, functional, and transcriptomic data, this study established a framework for future mechanistic investigations into gut development and maturation in vitro. This set of mature epithelium indicators has diverse applications, such as the design of nutritional and pharmacological interventions to improve gut health and resilience in farmed fish.

Animals↗

PubMed2026

Machine learning and multi-omics clustering to map cellular rewiring and immune evasion in ccRCC.

Immune checkpoint blockade (ICB) efficacy in clear cell renal cell carcinoma (ccRCC) is limited by tumor microenvironment (TME) heterogeneity. Because traditional bulk-derived models lack spatial resolution, we developed an integrated framework connecting macroscopic survival risks to microscopic TME structures. We applied ten algorithms to establish multi-omics subtypes and evaluated 101 machine-learning combinations across three independent cohorts to generate a Consensus Machine Learning-driven Signature (CMLS). The signature's spatial and cellular origins were decoded using spatial transcriptomics (ST) and a 140,000-cell scRNA-seq atlas. Expression of key genes was experimentally validated via RT-qPCR in 17 paired ccRCC clinical tissues. We identified two molecular subtypes with distinct clinical and epigenetic profiles. SuperPC optimization yielded a 24-gene CMLS serving as an independent prognostic factor. scRNA-seq and ST deconvolution revealed these signals predominantly originate from cancer-associated fibroblasts (CAFs) and malignant epithelial cells, which collaborate to drive spatial immune exclusion. RT-qPCR confirmed significant overexpression of five core CMLS genes in ccRCC versus adjacent normal tissues. Low CMLS scores correlated with enhanced ICB responsiveness, whereas high-CMLS tumors demonstrated specific vulnerability to dasatinib and dabrafenib. The CMLS translates spatial immune-exclusion dynamics into a quantifiable metric, outperforming tumor mutational burden in predicting ICB benefits, providing a robust tool for patient stratification in ccRCC.

Humans↗

PubMed2026

Comparative Effectiveness of Exercise Interventions for Hamstring Injury Prevention in Football Players: A Systematic Review and Network Meta-analysis.

BACKGROUND: Hamstring strain injury is a leading time-loss injury in football, yet trials have evaluated diverse exercise-based prevention programs with limited direct head-to-head evidence. This systematic review and network meta-analysis aimed to compare the effectiveness of exercise-based interventions for preventing hamstring injuries in football players using exposure-adjusted incidence rate ratios. METHODS: We conducted a PRISMA-aligned systematic review and random-effects network meta-analysis of randomized controlled trials in football players comparing exercise-based interventions to prevent hamstring injuries. Searches covered PubMed, Cochrane Library, Embase and Web of Science from inception to January 5, 2026. Interventions were modeled as separate nodes (Nordic hamstring exercise [NHE], FIFA 11, FIFA 11 + , FIFA 11 + Kids, bounding exercise program [BEP], usual training). The primary effect measure was incidence rate ratio (IRR) versus usual training, with ranking by P-scores; exploratory subgroup analyses were conducted by sex-restricted male-only evidence and age group. RESULTS: Eleven randomized controlled trials involving 9,282 participants were included. The network was connected but largely star-shaped, with most evidence comparing active interventions against usual training and no direct active-active comparisons. FIFA 11 + showed the most consistent exposure-adjusted association with reduced hamstring injury incidence versus usual training (IRR = 0.55, 95% CI 0.31-0.98; P-score = 0.84). FIFA 11 + Kids showed a favorable but imprecise estimate, whereas NHE showed a modest non-significant reduction and FIFA 11 and BEP showed no clear benefit. Male-only findings were broadly consistent with the primary analysis. Age-stratified analyses suggested that the apparent hierarchy was not fully identical across age strata, but subgroup networks were sparse and exploratory. RoB 2 judged three studies as high risk and eight as having some concerns; no trial was judged as overall low risk. Between-study heterogeneity was substantial, and treatment rankings were, therefore, interpreted cautiously. CONCLUSIONS: In this IRR-based network meta-analysis, FIFA 11 + showed the most consistent exposure-adjusted association with reduced hamstring injury incidence compared with usual training. However, certainty across the primary comparisons ranged from low to very low because of clinical and methodological heterogeneity, sparse direct evidence for several nodes, reliance on indirect active-active comparisons, substantial between-study heterogeneity, and moderate-to-high risk of bias across the included studies. The treatment hierarchy should, therefore, be interpreted as a low-to-very-low-certainty, population-level summary rather than as a basis for firm recommendations. Further well-reported, age- and population-specific head-to-head trials with consistent exposure, injury-definition, adherence, and intervention-dose reporting are needed. Registration Systematic review registration PROSPERO (CRD420251243576).

FIFA 11 + ↗

PubMed2026

Circulating Tumor DNA Profiling Defines Risk Classification in Patients With Ewing Sarcoma: A Report From the Children's Oncology Group and the LEOPARD Study.

PURPOSE: Identification of discrete risk groups remains a high priority for patients with Ewing sarcoma (EWS). We sought to prospectively validate circulating tumor DNA (ctDNA) as a prognostic factor and develop clinical-molecular risk groups. METHODS: We conducted a prospective investigator-initiated biology study for patients with localized EWS (LEOPARD) and embedded ctDNA analysis into the North American frontline metastatic study AEWS1221. Eligible patients were younger than 50 years with newly diagnosed EWS. All patients provided a baseline blood sample for analysis, which was subjected to ultralow-pass whole-genome sequencing and hybrid capture panel sequencing for ctDNA quantification, fusion detection, and characterization of STAG2 and TP53 alterations. Serial ctDNA sequencing was conducted on a subset of patients in each study. We tested for associations between ctDNA burden and secondary genomic events, and clinical features and outcomes. RESULTS: One hundred forty patients with localized disease and 255 with metastatic disease provided evaluable pretreatment samples for ctDNA analysis. Elevated baseline ctDNA was associated with stage, tumor size, primary site, indeterminate pulmonary nodules, and metastatic pattern. Elevated pretreatment ctDNA burden was associated with inferior outcomes in patients with localized (n = 140, hazard ratio [HR] = 2.36, P = .032) and metastatic disease (n = 255, HR = 2.15, P = .001). Patients with metastatic disease and TP53 variants and/or persistent on-therapy ctDNA had dismal outcomes. Patients with localized disease, low ctDNA, small tumors, and favorable genomics had no events and constitute a novel low-risk group. Among patients with metastatic disease, those with lung-only disease, low ctDNA, and favorable genomics represent an intermediate-risk group. CONCLUSION: This study prospectively validates pretreatment ctDNA burden as prognostic in EWS. Risk groups that integrate ctDNA burden with clinical-molecular features differentiate patients with low-, intermediate-, and high-risk disease.

Journal Article↗

PubMed2026

Phosphoproteomics identifies the DYRK1B protein kinase as a regulator of processing bodies.

Dual-specificity tyrosine-phosphorylation-regulated kinase 1B (DYRK1B) modulates the cell cycle and cell fate during development, and is deregulated in cancer and metabolic syndrome. However, only a few DYRK1B substrates have been defined, so we undertook a phosphoproteomics screen in cells that exhibit inducible DYRK1B expression. Motif analysis revealed enrichment for proline-directed serine or threonine phosphorylation sites (pSer-Pro or pThr-Pro), consistent with the consensus motif of class I DYRKs. Gene Ontology (GO) analysis revealed enrichment of proteins involved in mRNA binding, mRNA processing and ribonucleoprotein complexes. Several processing body (PB) components, including DCP1A, PATL1 (PAT1B), EDC3 and 4E-T (also known as EIF4ENIF1), were identified as DYRK1B-inducible phosphoproteins. DYRK1B also co-immunoprecipitated with DCP1A, PAT1B, EDC3, EDC4, DDX6 and XRN1. Super-resolution microscopy demonstrated that DYRK1B co-localised with DCP1A, DCP1B and DDX6 in PBs. Expression of DYRK1B increased PB abundance, whereas inhibition, depletion or knockout of DYRK1B reduced phosphorylation of DCP1A and 4E-T and decreased PB number. Re-expression of wild-type but not kinase-dead DYRK1B restored PB numbers in knockout cells. These findings reveal novel DYRK1B targets and establish DYRK1B as a regulator of PB abundance.

Dyrk Kinases↗