Article

Personalized <i>in-silico</i> drug response prediction based on the genetic landscape of muscle-invasive bladder cancer

2020-05-26

Abstract excerpt

In bladder cancer (BLCA) there are, to date, no reliable diagnostics available to predict the potential benefit of a therapeutic approach. The extraordinarily high molecular heterogeneity of BLCA might explain its wide range of therapy responses to empiric treatments. To better stratify patients for treatment response, we present a highly automated workflow for in-silico drug response prediction based on a tumor’...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 42d008b2-4921-56d6-ba01-de9ea661dacc
DOI: 10.1101/2020.05.22.101428

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Personalized <i>in-silico</i> drug response prediction based on the genetic landscape of muscle-invasive bladder cancerDOI 10.1101/2020.05.22.101428Read

A showcase study on personalized in silico drug response prediction based on the genetic landscape of muscle invasive bladder cancer.Semantic proximity Read

Molecular correlates of cisplatin-based chemotherapy response in muscle invasive bladder cancer by integrated multi-omics analysis.Semantic proximity Read

Multi-omics consensus ensemble refines the classification of muscle-invasive bladder cancer with stratified prognosis, tumour microenvironment and distinct sensitivity to frontline therapiesSemantic proximity Read

A Five-Gene Stromal-EMT Signature Predicts Prognosis, Immunotherapy Resistance, and Therapeutic Vulnerability in Bladder CancerSemantic proximity Read

Transcriptomics-Driven Machine Learning Models Accurately Predict Chemotherapy Response in Muscle-invasive Bladder CancerSemantic proximity Read

Defining muscle-invasive bladder cancer immunotypes by introducing tumor mutation burden, CD8+ T cells, and molecular subtypesSemantic proximity Read

Identification of an immunotherapy-responsive molecular subtype of bladder cancer.Semantic proximity Read

ADME gene-driven prognostic model for bladder cancer: a breakthrough in predicting survival and personalized treatmentSemantic proximity Read

The Role of COL5A2 in Patients With Muscle-Invasive Bladder Cancer: A Bioinformatics Analysis of Public Datasets Involving 787 Subjects and 29 Cell LinesSemantic proximity Read

Defining muscle-invasive bladder cancer immunotypes by introducing tumor mutation burden, CD8+ T cells, and molecular subtypes.Semantic proximity Read

EGFR as a potential therapeutic target for a subset of muscle-invasive bladder cancers presenting a basal-like phenotype.Semantic proximity Read

National Comprehensive Cancer Network Recommendations on Molecular Profiling of Advanced Bladder Cancer.Semantic proximity Read