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Machine learning developed a CD8+ exhausted T cells signature for predicting prognosis, immune infiltration and drug sensitivity in ovarian cancer

  • 0Department of Obstetrics and Gynecology, Shanghai Fifth People's Hospital, Fudan University, Shanghai, 200240, China.
Scientific Reports +

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March 9, 2024

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March 9, 2024

View abstract on PubMed

Summary

This summary is machine-generated.

This study developed a novel prognostic signature for ovarian cancer (OC) using CD8+ exhausted T cells (CD8+ Tex). This signature predicts patient outcomes and response to immunotherapy, offering new insights into OC

Area Of Science

  • Oncology
  • Immunology
  • Bioinformatics

Background

  • CD8+ exhausted T cells (CD8+ Tex) are crucial in cancer progression and treatment response.
  • Limited understanding exists regarding CD8+ Tex-related genes in ovarian cancer (OC).

Purpose Of The Study

  • To construct and validate a CD8+ Tex-related prognostic signature (TRPS) for ovarian cancer.
  • To evaluate the TRPS's ability to predict patient prognosis, immune infiltration, and immunotherapy benefits in OC.

Main Methods

  • Integrative machine learning using 10 methods on multiple ovarian cancer datasets (TCGA, GSE14764, GSE26193, GSE26712, GSE63885, GSE140082).
  • Analysis of immunotherapy benefit indicators: Tumor Immune Dysfunction and Exclusion (TIDE) score, immunophenoscore (IPS), TMB score, and tumor escape score.
  • Validation of TRPS performance against clinical factors and existing signatures using C-index.

Main Results

  • A TRPS developed by Enet (alpha=0.3) effectively predicted OC patient outcomes as an independent risk factor.
  • Low TRPS scores correlated with increased CD8+ T cells, B cells, M1 macrophages, NK cells, and better immunotherapy response indicators (higher IPS, TMB; lower TIDE, tumor escape).
  • High TRPS scores were associated with activated cancer hallmarks like angiogenesis, EMT, hypoxia, glycolysis, and notch signaling.

Conclusions

  • A novel TRPS for ovarian cancer was successfully constructed.
  • The TRPS serves as a valuable indicator for predicting prognosis, immune infiltration, and immunotherapy response in OC patients.

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