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Epithelial Cell-Specific Prognostic Signature (FTH1, RIT1, WASL, NDRG2, KIFC3) Stratifies Cervical Cancer Patients

Xuegu Wang1, Xingchen Pan2, Xiang Li3

  • 1Department of Obstetrics and Gynecology (Center for Reproductive Medicine), The First Affiliated Hospital of Bengbu Medical University, Bengbu, China, bbmc.edu.cn.

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|February 9, 2026
PubMed
Summary

This study developed a novel epithelial cell (EpC)-specific gene signature for cervical cancer (CC) that accurately predicts patient survival and informs treatment strategies. The signature aids in stratifying patients and understanding tumor microenvironment alterations for improved clinical outcomes.

Keywords:
Riskscore modelcervical cancercomputational analysesepithelial cellprognostic biomarker

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Area of Science:

  • Oncology
  • Genomics
  • Immunology

Background:

  • Cervical cancer (CC) is a significant global health concern, primarily driven by human papillomavirus targeting epithelial cells (EpCs).
  • Understanding EpC heterogeneity and tumor immune microenvironment (TME) alterations is crucial for improving CC clinical outcomes.

Purpose of the Study:

  • To develop an EpC-specific risk model for cervical cancer to enhance clinical decision-making.
  • To investigate tumor immune microenvironment alterations associated with EpC subtypes in CC.

Main Methods:

  • Single-cell RNA sequencing (scRNA-seq) data were analyzed using Seurat and Harmony for normalization and batch correction.
  • EpC heterogeneity was explored through subclustering, pseudotime analysis, and cell-cell communication inference (CellChat).
  • Weighted gene co-expression network analysis (WGCNA) identified EpC-specific modules, and prognostic genes were selected via Cox and LASSO regression to build a risk model.

Main Results:

  • EpCs were classified into three subclusters with distinct biological pathways and developmental trajectories.
  • A five-gene prognostic signature (FTH1, RIT1, WASL, NDRG2, KIFC3) was constructed, effectively stratifying patients into high- and low-risk groups with differential overall survival.
  • The high-risk group showed altered immune infiltration and correlated with sensitivity to chemotherapeutic agents; FTH1 knockdown inhibited CC cell proliferation and invasion.

Conclusions:

  • An EpC-specific gene signature for cervical cancer has been developed, demonstrating potential for clinical application.
  • This signature aids in patient stratification and provides insights into TME dynamics, supporting improved clinical management of CC.