Article

Multi-Omics Analysis Identifies the Heterogeneity and Prognosis in Bladder Cancer

2021-11-02

Abstract excerpt

<title>Abstract</title> <p>Background The multi-omics integrated analysis can help researchers understand the biological behavior of bladder cancer(BCa) in a more systematic and comprehensive manner, and further provide new clues for finding valuable tumor markers and therapeutic targets. Methods In this study, we applied the DNA methylation data to construct a prognosis classifier and stratified the BCa patien...

Topics

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

Identifiers and source

Literature Corpus work: 35bd9324-96db-523e-8535-0e2360222863
DOI: 10.21203/rs.3.rs-1023596/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Multi-Omics Analysis Identifies the Heterogeneity and Prognosis in Bladder CancerDOI 10.21203/rs.3.rs-1023596/v1Read

DNA methylation-based classification and identification of bladder cancer prognosis-associated subgroupsSemantic proximity Read

Integrating Multi-dimensional RNA Sequencing to Construct a Prognostic Risk Model for Bladder CancerSemantic proximity Read

Identification of Prognostic Biomarkers for Bladder Cancer Based on DNA Methylation ProfileSemantic proximity Read

Multi-omics Perspective on the Tumor Microenvironment based on PD-L1 and CD8 T-Cell Infiltration in Urothelial CancerSemantic proximity Read

Exploring prognostic DNA methylation genes in bladder cancer: a comprehensive analysisSemantic proximity Read

5mC regulator-mediated molecular subtypes depict the hallmarks of the tumor microenvironment and guide precision medicine in bladder cancerSemantic proximity Read

Telomere maintenance-related genes are important for survival prediction and subtype identification in bladder cancerSemantic proximity Read

DNA Methylation Modification Map to Predict Tumor Molecular Subtypes and Efficacy of Immunotherapy in Bladder CancerSemantic proximity Read

Development of an m6A subtype classifier to guide precision therapy for patients with bladder cancerSemantic proximity Read

New exploration of bladder cancer-related immune gene biomarkers in predicting the prognosis of urinary system tumorsSemantic proximity Read

Mining TCGA database for tumor mutation burden and their clinical significance in bladder cancer.Semantic proximity Read

STAT1 is a key gene in a gene regulatory network related to immune phenotypes in bladder cancer: An integrative analysis of multi-omics data.Semantic proximity Read