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Identification And Validation Of Prognostic Model For Tumor Microenvironment-associated Genes In Bladder Cancer Based On Single-cell Rna Sequencing Data Sets.

Home
Research Domains
Biomedical And Clinical Sciences
Oncology And Carcinogenesis
Predictive And Prognostic Markers
Identification And Validation Of Prognostic Model For Tumor Microenvironment-associated Genes In Bladder Cancer Based On Single-cell Rna Sequencing Data Sets.

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Identification and Validation of Prognostic Model for Tumor Microenvironment-Associated Genes in Bladder Cancer Based on Single-Cell RNA Sequencing Data Sets.

Imran Safder¹, Henkel Valentine², Nicole Uzzo²

¹Case Western Reserve School of Medicine, Cleveland, OH.

JCO Precision Oncology

|August 16, 2024

View abstract on PubMed

Summary

This summary is machine-generated.

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An Orthotopic Bladder Cancer Model for Gene Delivery Studies

An Orthotopic Bladder Cancer Model for Gene Delivery Studies

Published on: December 1, 2013

This study reveals key biomarkers within the tumor microenvironment (TME) for bladder cancer (BLCA) progression. The developed prognostic model accurately predicts patient outcomes, aiding in BLCA management.

Area of Science:

Oncology
Genomics
Bioinformatics

Background:

The tumor microenvironment (TME) significantly influences bladder cancer (BLCA) progression.
Understanding cellular diversity within the TME is crucial for identifying prognostic markers.

Purpose of the Study:

To investigate the relationship between the TME and cellular diversity in BLCA.
To identify prognostic biomarkers and develop a predictive model for BLCA using single-cell RNA sequencing (scRNA-seq) data.

Main Methods:

Analysis of scRNA-seq data from normal and tumor bladder cells.
Identification of differentially expressed genes and assessment of their prognostic significance.
Construction and validation of a prognostic model using LASSO and Cox regression analyses.

Main Results:

The prognostic model reliably predicted patient outcomes with significant independent prognostic value (HR=2.97, P < .001).
Validation cohorts demonstrated strong predictive performance (AUCs at 1, 2, and 3 years: 0.74, 0.74, 0.72).
Gene set enrichment analysis and immune cell infiltration supported the model's efficacy.

Conclusions:

Identified potential prognostic biomarkers for bladder cancer.
The study provides a foundation for further in vitro validation and therapeutic strategies.
Enhanced understanding of BLCA-associated genes may improve prognostic accuracy.