Bladder and Urothelial Cancer Treatments

SH2D2A is an indicator of favourable prognosis in bladder cancer and is enriched in Treg cells

The paper identifies SH2D2A as a favourable prognosis marker in bladder cancer, enriched in Treg cells, and suggests its role in immunotherapy targets.

Heterogeneous Effects of Src Inhibition on Determinants of Metastasis in Preclinical Models of Human Bladder Cancer

The paper investigates SRC's role in bladder cancer metastasis across molecular subtypes, finding subtype-specific effects on migration but no overall impact on metastasis.

3D-UHU-TU: A Three-Dimensional Bladder Cancer Model in a Healthy Urothelial Environment

The paper introduces a 3D bladder cancer model in a human urothelial environment to better test cancer treatments and improve translational research.

A versatile and upgraded version of the LundTax classification algorithm applied to independent cohorts

The paper develops and evaluates a classifier for urothelial carcinoma subtypes that is robust across different platforms and preprocessing methods.

An Integrative Study to Investigate Sex-Specific Biomarkers in Bladder Cancer Patients

This study identifies sex-specific biomarkers in bladder cancer by analyzing genomic, expression, and clinical data from TCGA and GTEx, revealing distinct pathways and hub genes associated with male and female patients.

Global and local redistribution of somatic mutations enable the prediction of functional XPD mutations in bladder cancer

The paper identifies how XPD mutations alter somatic mutation patterns in bladder cancer and develops a machine-learning model to predict pathogenic XPD mutations with 100% accuracy in an independent cohort.

Transcriptomics-Driven Machine Learning Models Accurately Predict Chemotherapy Response in Muscle-invasive Bladder Cancer

The paper develops a machine learning model using transcriptomic data to predict chemotherapy response in muscle-invasive bladder cancer with high accuracy.

A systematic review on diagnostic and prognostic biomarkers for bladder cancer

This study reviews biomarkers for bladder cancer detection, identifying gene and protein candidates that may reduce reliance on cystoscopy.

The Origin of Bladder Cancer from Mucosal Field Effects

This study identifies molecular changes in bladder mucosa that initiate cancer, revealing inflammation's role and mutation patterns linked to early carcinogenesis.

A Machine Learning Approach for Long-Term Prognosis of Bladder Cancer based on Clinical and Molecular Features

This study develops a machine learning model to predict 10-year overall survival in bladder cancer patients using clinical and molecular features, without relying on tumor grade classification.

Dysregulation of EMT Drives the Progression to Clinically Aggressive Sarcomatoid Bladder Cancer

This study identifies distinct genomic and molecular features of sarcomatoid bladder cancer, linking EMT dysregulation to aggressive behavior and immune infiltration.