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Updated: May 29, 2025

Clinicopathological Analysis of miRNA Expression in Breast Cancer Tissues by Using miRNA In Situ Hybridization
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Characterization of novel sialylation-associated microRNA signature for prognostic assessment in breast cancer and

Yong-Zi Chen1, Shilei Xu1, Hailing Ren2

  • 1Laboratory of Tumor Cell Biology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer; Key Laboratory of Breast Cancer Prevention and Therapy, Tianjin Medical University, Ministry of Education; Key Laboratory of Cancer Prevention and Therapy, Tianjin; Tianjin's Clinical Research Center for Cancer, Tianjin 300060, China.

The Journal of Steroid Biochemistry and Molecular Biology
|February 3, 2025
PubMed
Summary

This study identifies an eight-microRNA (miRNA) signature that predicts breast cancer survival. This signature, linked to sialylation, can help personalize treatment strategies for patients, especially those with triple-negative breast cancer.

Keywords:
Breast cancerMiRNAMicroenvironmentNomogramSialylation

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Area of Science:

  • Biochemistry and Molecular Biology
  • Oncology
  • Genomics

Background:

  • Sialylation, a critical protein modification, influences tumor progression and immune response.
  • MicroRNAs (miRNAs) regulate gene expression and are implicated in breast cancer, but their prognostic role concerning sialylation is unclear.

Purpose of the Study:

  • To identify sialylation-related microRNAs (miRNAs) for breast cancer prognosis.
  • To develop and validate a miRNA-based risk signature for predicting patient survival.
  • To explore the biological pathways and immune microenvironment associated with the miRNA signature.

Main Methods:

  • Pearson correlation analysis to identify sialylation-related miRNAs.
  • Univariate and LASSO regression for risk signature development (TCGA dataset).
  • Validation in independent GEO datasets; nomogram construction; GSEA, GSVA, CIBERSORT, and TIMER for pathway and immune analysis.

Main Results:

  • An eight-miRNA risk signature independently predicted overall survival (OS), recurrence-free survival, and disease-free survival.
  • The risk score effectively predicted outcomes in independent cohorts and was integrated into a predictive nomogram.
  • High-risk patients showed increased macrophage and neutrophil infiltration, correlating with poorer prognosis, particularly in triple-negative breast cancer.

Conclusions:

  • The eight-miRNA signature serves as a robust prognostic biomarker for breast cancer.
  • This signature can identify high-risk patients and inform personalized treatment strategies.
  • The findings highlight the interplay between sialylation, miRNAs, and the immune microenvironment in breast cancer progression.