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Related Concept Videos

  1. Home
  2. Research Domains
  3. Biomedical And Clinical Sciences
  4. Oncology And Carcinogenesis
  5. Predictive And Prognostic Markers
  6. Development Of A Propionate Metabolism-related Gene-based Molecular Subtypes And Scoring System For Predicting Prognosis In Bladder Cancer.
  1. Home
  2. Research Domains
  3. Biomedical And Clinical Sciences
  4. Oncology And Carcinogenesis
  5. Predictive And Prognostic Markers
  6. Development Of A Propionate Metabolism-related Gene-based Molecular Subtypes And Scoring System For Predicting Prognosis In Bladder Cancer.

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Development of a propionate metabolism-related gene-based molecular subtypes and scoring system for predicting prognosis in bladder cancer.

Fuchun Zheng1,2, Zhipeng Wang1,2, Sheng Li1,2

  • 1Department of Urology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330000, China.

European Journal of Medical Research
|July 29, 2024

View abstract on PubMed

Summary
This summary is machine-generated.

This study identifies two bladder cancer subtypes and a gene signature for predicting patient outcomes. It also highlights HSD17B1 as a potential target for inhibiting cancer spread.

Keywords:
Bladder cancerPrognosisPropionateRisk signature

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Area of Science:

  • Oncology
  • Metabolic pathways
  • Genomics

Background:

  • Bladder cancer (BLCA) is a common malignancy.
  • Propionate metabolism is implicated in cancer development.
  • A clear understanding of propionate metabolism-related genes (PMRGs) in BLCA is needed.

Purpose of the Study:

  • To investigate the role of PMRGs in bladder cancer.
  • To identify prognostic biomarkers for BLCA.
  • To explore HSD17B1 as a therapeutic target.

Main Methods:

  • Utilized TCGA and GEO data for BLCA patient subgroup analysis via NMF.
  • Developed a prognostic model using Cox and LASSO regression.
  • Validated findings through survival analysis, TME, drug sensitivity, and in vitro assays.
Target

Main Results:

  • Identified two distinct BLCA subtypes (CA and CB) with differing survival rates.
  • Six PMRGs were identified as prognostic factors.
  • High-risk PMRG scores correlated with poorer prognosis and altered TME.
  • HSD17B1 suppression inhibited bladder cancer cell invasion.

Conclusions:

  • Proposes molecular subtypes and a PMRG-based score for BLCA prognosis.
  • HSD17B1 plays a key role in bladder cancer metastasis and invasion.
  • HSD17B1 is a potential therapeutic target for BLCA.