Identification of Ferroptosis-Related Prognostic Models and FDFT1 as a Potential Ferroptosis Driver in Colorectal Cancer

  • 0Department of Gastrointestinal Surgery, Xijing Hospital, Air Force Medical University, Xi'an, 710032, China.

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Summary

This summary is machine-generated.

This study developed ferroptosis-related gene (FRG) signatures to predict survival in colorectal cancer (CRC) patients. These signatures show promise for improving prognostic accuracy and guiding treatment strategies in CRC.

Area Of Science

  • Oncology
  • Molecular Biology
  • Genetics

Background

  • Prognostic prediction in colorectal cancer (CRC) remains a significant clinical challenge.
  • Ferroptosis, a distinct form of cell death, has emerged as a potential factor in cancer progression, but its role in CRC prognosis is largely unexplored.

Purpose Of The Study

  • To develop and validate ferroptosis-related gene (FRG) signatures for predicting overall survival (OS) and disease-free survival (DFS) in colorectal cancer (CRC) patients.
  • To establish a robust prognostic risk signature for CRC to enhance clinical prognostic precision.

Main Methods

  • Utilized The Cancer Genome Atlas (TCGA) colorectal cancer (CRC) cohorts for clinical data and mRNA expression profiles.
  • Employed the Lasso algorithm to construct OS and DFS prediction models based on FRGs.
  • Validated the predictive models using independent datasets (GSE38832) and assessed their robustness via multivariate Cox and ROC analyses.

Main Results

  • Identified significant differential expression of 85% of FRGs between CRC and adjacent normal tissues, pinpointing 11 prognostic genes.
  • Developed two risk models stratifying patients into low- and high-risk groups, validated as independent prognostic factors.
  • Functional analysis revealed associations with cancer pathways (e.g., WNT signaling) and immune status variations; identified 16 potential therapeutic drugs and confirmed FDFT1's tumor-suppressive role in CRC.

Conclusions

  • Ferroptosis-related genes play a crucial role in CRC pathogenesis, and FRG-based risk signatures offer potential for improved prognostic accuracy.
  • The developed signatures can aid in tailoring therapeutic strategies for colorectal cancer patients.
  • Further validation in real-world clinical studies is necessary to confirm the reliability and applicability of these predictive models.