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Single-cell transcriptome analysis identifies subclusters and signature with N-glycosylation in endometrial cancer

  • 0Department of Gynecology and Obstetrics, Renmin Hospital of Wuhan University, Wuhan, 430060, Hubei, China.
Clinical & Translational Oncology : Official Publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico +

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November 26, 2024

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November 26, 2024

View abstract on PubMed

Summary

This summary is machine-generated.

N-glycosylation-related genes significantly impact endometrial cancer (EC) cell heterogeneity and patient survival. Identifying specific gene signatures can predict prognosis and response to immunotherapy, paving the way for personalized EC treatments.

Area Of Science

  • Gynecologic Oncology
  • Molecular Biology
  • Immunotherapy

Background

  • Endometrial cancer (EC) is a common gynecologic malignancy with increasing incidence and mortality.
  • N-glycosylation, a key post-translational modification, plays a role in cancer progression and immune modulation.
  • Understanding N-glycosylation's role is crucial for improving EC patient outcomes.

Purpose Of The Study

  • To investigate the impact of N-glycosylation-related genes on endometrial cancer (EC) cell heterogeneity.
  • To identify prognostic markers for EC patients.
  • To evaluate the association between N-glycosylation and response to immunotherapy in EC.

Main Methods

  • Single-cell RNA sequencing (scRNA) data from five EC patients were analyzed.
  • Nonnegative matrix factorization (NMF) identified N-glycosylation-related cell subtypes.
  • A consensus prognostic signature was developed using machine learning algorithms.
  • Immunotherapy response was assessed using multiple computational approaches.

Main Results

  • 34 N-glycosylation-related differentially expressed genes (DEGs) were significantly associated with overall survival (OS) in EC.
  • scRNA analysis revealed eight distinct cell clusters, including T cells and epithelial cells.
  • NMF identified four malignant cell subtypes, with O-GalNAc-C2 showing high metabolic activity.
  • A prognostic model with eight DEGs predicted immunotherapy response, with low-risk scores indicating better outcomes.

Conclusions

  • N-glycosylation-related genes are critical determinants of EC prognosis and immunotherapy response.
  • The identified gene signature may aid in developing targeted therapies for EC.
  • This study provides a foundation for personalized treatment strategies in endometrial cancer.

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