Metabolic reprogramming and prognostic insights in molecular landscapes driven by glycolysis in ovarian cancer

  • 0Institute of Blood Transfusion, Chinese Academy of Medical Sciences and Peking Union Medical College, Chengdu, 610052, Sichuan, China.

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Summary

This summary is machine-generated.

Identifying glycolysis-related genes (GRGs) in ovarian cancer (OC) offers new prognostic insights. A ten-gene signature accurately predicts patient outcomes, guiding personalized treatment strategies for this fatal gynecological malignancy.

Area Of Science

  • Oncology
  • Molecular Biology
  • Genetics

Background

  • Ovarian cancer (OC) is a leading cause of cancer death, often diagnosed late with limited treatment options.
  • Aberrant glycolysis, including the Warburg effect, drives OC progression, immune evasion, and microenvironment changes.
  • Identifying glycolysis-related genes (GRGs) is crucial for understanding OC prognosis and developing new therapies.

Purpose Of The Study

  • To identify differentially expressed GRGs in OC.
  • To analyze the prognostic significance of GRGs and develop a predictive signature.
  • To explore tumor microenvironment heterogeneity and potential therapeutic targets in OC.

Main Methods

  • Utilized transcriptomic and clinical data from TCGA, GTEx, and GEO databases.
  • Identified differentially expressed GRGs, analyzed prognostic values, and performed consensus clustering.
  • Developed and validated a ten-gene GRG signature using LASSO-Cox regression; conducted immune and single-cell RNA sequencing analyses.

Main Results

  • Identified 457 differentially expressed GRGs, with 30 significantly linked to OC prognosis.
  • Characterized three molecular subtypes, with one showing the worst prognosis and activated tumor pathways.
  • Developed and validated a robust ten-gene prognostic signature (LMCD1, L1CAM, MYCN, GALT, IDO1, RPL18, XBP1, LPAR3, RUNX3, PLCG1) with significant predictive efficacy.

Conclusions

  • The ten-gene GRG signature provides a reliable tool for OC risk assessment and personalized treatment planning.
  • Targeting glycolytic pathways presents a promising strategy to improve OC management and patient outcomes.
  • Further experimental and clinical validation is required for translating these findings into practice.

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