Renal cell carcinoma treatment

Preoperative thymic output and T cell repertoire diversity are associated with recurrence after nephrectomy for localized renal cell carcinoma

Combined Loss of VHL and TSC1 Drives Clear Cell Renal Cell Carcinoma with Metabolic and Redox Reprogramming that Creates an NRF2 Dependency

This study creates a mouse model of VHL-/-TSC1-/- ccRCC, identifies metabolic and redox reprogramming, and highlights NRF2 as a therapeutic target.

TFE3 fusions drive expression of CD44 and SPP1 in Translocation Renal Cell Carcinoma

The paper shows TFE3 fusions upregulate CD44 and SPP1 in tRCC, with potential therapeutic implications.

Decoding the Plasma Proteomic Landscape of Clear Cell Renal Cell Carcinoma Reveals Diagnostic and Prognostic Liquid Biopsy Biomarkers

This paper identifies plasma proteomic biomarkers for diagnosing and prognosticating clear cell renal cell carcinoma through longitudinal mass spectrometry profiling.

Absolute quantitative proteomics guides patient-stratified drug repurposing in clear cell and papillary renal cell carcinoma.

This paper uses absolute quantitative proteomics to identify patient-specific drug repurposing strategies for clear cell and papillary renal cell carcinoma.

Single-cell gene programs define subtype identity and metastatic trajectories in renal cell carcinoma

This study identifies 59 gene expression programs in RCC that reveal subtype identity and metastatic trajectories, including a metastatic signature linked to poor clinical outcomes.

Site-Dependent Decoupling of Drug-Biomarker Associations in Clear Cell Renal Cell Carcinoma Revealed by Functional Profiling of Patient-Derived Cell Models

The paper identifies site-dependent drug-biomarker associations in ccRCC using patient-derived models and multi-omic data, revealing discrepancies between genomic predictions and functional drug responses.

Not All Predictors Of RCC Clusters Are The Same: An individual sample predictive model to classify patients with metastatic renal cell carcinoma

The paper develops a machine learning model to predict treatment response in RCC patients using individual-sample RNAseq data, finding that standardization methods affect cluster predictions.

Single-Cell Multi-Omics Dissection of Malignant Evolutionary Mechanisms and Construction of a Prognostic Model for Clear Cell Renal Cell Carcinoma

The paper integrates single-cell multi-omics data to identify prognostic markers and mechanisms of progression in clear cell renal cell carcinoma.

Differential Transcript Usage Reveals Isoform-Level Remodeling of Tumor Biology in Clear Cell Renal Cell Carcinoma

The paper identifies isoform-level changes in ccRCC using DTU analysis, revealing subgroups with distinct survival outcomes and potential biomarkers.

Sexually dimorphic effects of mutations in ccRCC driver genes in renal proximal tubule cells

The paper investigates sex-specific effects of Vhl and Vhl/Pbrm1 mutations in renal proximal tubule cells, revealing differences in lipid droplet accumulation and clonal expansion between males and females.

Profilin-1 Promotes Chromophobe Renal Cell Carcinoma Malignancy

This study identifies Profilin-1 as a driver of chromophobe renal cell carcinoma progression by promoting proliferation, invasion, and resistance to oxidative stress.

Fibroblast-derived Collagen VI shapes the structure and function of the tumor-immune microenvironment in clear cell renal cell carcinoma

This study identifies collagen VI as a key ECM component in ccRCC stroma, showing its role in shaping tumor structure, function, and immune response, with implications for TKI therapy.

A minimal transcriptomic signature predicts intravascular tumor extension in renal cell carcinoma

The paper identifies a 13-gene transcriptomic signature that predicts intravascular tumor extension in renal cell carcinoma using RNA sequencing data from multiple cohorts.

Transcriptomic evaluation of immune-infiltrated patient-derived tumor organoids as preclinical models in renal cell carcinoma

The paper evaluates immune-infiltrated patient-derived tumor organoids as preclinical models for renal cell carcinoma, showing they retain immune signatures and hypoxic signaling relevant to the original tumors.

Integrative transcriptomic profiling of the phosphatome identifies DUSP15 as a chromophobe renal cell carcinoma-selective epithelial biomarker associated with an immune-metabolic tumour state

The paper identifies DUSP15 as a chRCC-selective biomarker through transcriptomic analysis and links it to an immune-metabolic tumor state.

Proteomic characterization of sporadic clear cell renal cell carcinoma reveals a matrix-dense pseudocapsule and heterogeneous tumor subtypes

This study uses proteomics to characterize sporadic ccRCC, identifying a matrix-dense pseudocapsule and five tumor subtypes with distinct biological features.

Phenotypic screening converges on CDK9 inhibition as a therapeutic strategy in translocation renal cell carcinoma

The paper identifies CDK9 inhibition as a therapeutic strategy for translocation renal cell carcinoma through phenotypic screening and mechanistic analysis.

Bisantrene potentiates tyrosine kinase inhibitor activity in clear cell renal cell carcinoma

This study shows bisantrene enhances the effectiveness of tyrosine kinase inhibitors in ccRCC by sustaining AKT inhibition and overcoming TKI resistance.

Dual Inhibition of CDK4/6 and mTORC1 Establishes a Preclinical Strategy for Translocation Renal Cell Carcinoma

This study identifies CDK4/6 and mTORC1 pathway activation in tRCC and shows that their dual inhibition synergistically suppresses tRCC cell growth in vitro and xenografts in vivo.

Spatial analysis reveals a novel inflammatory tumor transition state which promotes a macrophage-driven induction of sarcomatoid renal cell carcinoma

The paper identifies a transcriptional transition state in ccRCC cells that drives sarcomatoid transformation and enhances immunotherapy response via macrophage and T-cell interactions.

A systems-level machine learning approach uncovers therapeutic targets in clear cell renal cell carcinoma

This paper develops a machine learning framework for therapeutic target discovery in ccRCC, identifying 16 targets and novel mechanisms with superior efficacy to standard-of-care drugs.

Machine Learning-Enhanced Extraction of Protein Signatures of Renal Cell Carcinoma from Proteomics Data

The paper uses proteomics data and machine learning to identify protein signatures distinguishing renal cell carcinomas from normal tissues and different subtypes.

Deep visual multi-omics profiling reveals mechanisms that underlie cancer cell differentiation and aggressiveness in clear cell renal cell carcinoma

This study uses AI-based image analysis and multi-omics profiling to link morphological features with molecular changes in ccRCC, identifying unique molecular profiles in aggressive rhabdoid tumors.

Identification of a novel papillary renal cell carcinoma molecular subtype characterized by HIF-pathway over-activation

This paper identifies a novel molecular subtype of papillary renal cell carcinoma (pRCC) characterized by HIF-pathway overactivation, associated with poor prognosis and distinct biological features.

DNA methylation subtypes inferred from transcriptomes guide sunitinib and immunotherapy selection in renal cancer

The paper identifies DNA methylation subtypes from transcriptomes to guide sunitinib and immunotherapy selection in renal cancer, finding hyper-methylated tumors respond better to atezolizumab plus bevacizumab.

Fibroblast Activation Protein Defines an Aggressive, Immunosuppressive EMT-associated Tumor Subtype in Highly Inflamed Localized Clear Cell Renal Cell Carcinoma

The paper identifies FAP-expressing EMT-associated cancer cells in highly inflamed localized ccRCC as an aggressive, immunosuppressive subtype linked to poor prognosis and metastasis.

Long-read Spatial Transcriptomic Profiling of Patient-derived ccRCC Tumoroids Reveals Heterogeneity in Isoform and Gene Expression

The paper uses long-read spatial transcriptomics on ccRCC tumoroids to reveal gene and isoform expression heterogeneity, identifying distinct functional tumor clusters and isoform-specific patterns.

Characterization of alternative mRNA splicing associated with tumor thrombus in clear-cell renal cell carcinoma

The paper analyzes RNAseq data to identify alternative splicing patterns associated with tumor thrombus formation in clear-cell renal cell carcinoma.

Identification Cure Hub Genes of Chromophobe Cell Renal Carcinoma : A study based on Weighted Gene Co-expression Network Analysis (WGCNA) and the Cure Defective Models

This study identifies hub genes associated with cure in chromophobe cell renal carcinoma using WGCNA and the defective Gompertz model, finding ten genes with strong predictive value.