Single-cell-derived ferroptosis signature predicts prognosis and therapy response in esophageal squamous cell carcinoma - Summary - MDSpire

Single-cell-derived ferroptosis signature predicts prognosis and therapy response in esophageal squamous cell carcinoma

  • By

  • Qin Xu

  • Yu Ma

  • Xuanqi Huang

  • Elyar abdukirim

  • Meng Yang

  • Chunli Song

  • Meng Liu

  • July 17, 2026

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Objective:

To develop a ferroptosis-related prognostic model for esophageal squamous cell carcinoma (ESCC) using single-cell RNA sequencing and bulk transcriptomic data, addressing the need for improved prognostication in this aggressive malignancy.

Approach:
  • Data Integration: Integrated single-cell RNA sequencing and bulk transcriptomic data to identify ferroptosis-active cellular subpopulations, enhancing understanding of tumor microenvironment dynamics.
  • Prognostic Model Construction: Constructed a ferroptosis-related prognostic model using LASSO-Cox regression, validated across independent cohorts to ensure robustness.
  • In Vitro Experiments: Conducted functional experiments in vitro with ESCC cell lines to validate the prognostic core genes, providing insights into their biological roles.
  • Western Blot Analysis: Examined expression levels of ferroptosis-related proteins following CDCA3 knockdown to elucidate the molecular mechanisms involved.
Key Findings:
  • Identified four ferroptosis-related genes (CBS, CDCA3, GALNT14, IDO1) that stratified patients into high- and low-risk groups, with significant implications for survival outcomes.
  • CDCA3 knockdown inhibited proliferation and migration of ESCC cells and induced ferroptosis, highlighting its potential as a therapeutic target.
  • The identified genes were significantly upregulated in tumor cells at single-cell resolution and validated in clinical ESCC tissue samples, reinforcing their relevance in patient stratification.
  • Knockdown of CDCA3 led to downregulation of ferroptosis inhibitor-related genes and upregulation of ferroptosis-promoting genes, suggesting a shift in cellular response.
Interpretation:

The study presents a single-cell-resolved ferroptosis gene signature, contributing to the understanding of ESCC biology.

Limitations:
  • The study relies on data from specific cohorts and may not be generalizable to all ESCC populations.
  • Further clinical validation is necessary to confirm the utility of the prognostic model.
Conclusion:

The ferroptosis-related gene signature provides a foundation for developing targeted therapeutic strategies in ESCC.

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