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The diagnostic value of a breast cancer diagnosis model based on serum MiRNAs and serum tumor markers.

Xiaohui Li1, Feng Wang1,2, Faquan Lin3

  • 1Department of Biochemistry and Molecular Biology, Guangxi Medical University, Nanning, Guangxi, People's Republic of China.

World Journal of Surgical Oncology
|March 29, 2025
PubMed
Summary
This summary is machine-generated.

This study identifies novel serum microRNAs (miRNAs) and tumor markers for breast cancer (BCa) diagnosis. A combined miRNA and tumor marker panel demonstrated superior diagnostic accuracy for BCa.

Keywords:
Breast cancerDiagnosisHsa-miR-4804-3pHsa-miR-548ao-5pTumor markers

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Area of Science:

  • Biomarkers
  • Oncology
  • Molecular Diagnostics

Background:

  • Breast cancer (BCa) remains a leading cause of cancer-related mortality in women globally.
  • MicroRNAs (miRNAs) show significant potential as diagnostic and prognostic tools in oncology.
  • This research focuses on the utility of serum miRNAs and tumor markers for accurate BCa detection.

Purpose of the Study:

  • To investigate the diagnostic role of specific serum miRNAs and tumor markers in breast cancer.
  • To develop and evaluate diagnostic models combining miRNAs and tumor markers.
  • To explore the correlation between miRNA expression and BCa clinical characteristics.

Main Methods:

  • High-throughput sequencing identified differentially expressed miRNAs in BCa patients' serum.
  • Quantitative real-time PCR (qRT-PCR) measured the expression of four candidate miRNAs (hsa-miR-1911-3p, hsa-miR-4694-5p, hsa-miR-548ao-5p, hsa-miR-4804-3p).
  • Serum tumor-associated antigens were quantified, and logistic regression models were built for diagnostic assessment using ROC, PR, and DCA analyses.

Main Results:

  • Four serum miRNAs were newly associated with breast cancer.
  • A miRNA panel (hsa-miR-548ao-5p and hsa-miR-4804-3p) exhibited higher diagnostic effectiveness (AUC=0.816) than a tumor marker panel (CA125, CA153; AUC=0.777).
  • A combined miRNA and tumor marker panel achieved the highest diagnostic accuracy (AUC=0.870) and showed correlations with key clinical features like HER2, ER, PR status, and advanced stage.

Conclusions:

  • Serum miR-548ao-5p and miR-4804-3p demonstrate potential as novel biomarkers for breast cancer diagnosis.
  • Combining miRNAs with tumor markers significantly enhances diagnostic performance.
  • These biomarkers may aid in early detection and personalized treatment strategies for breast cancer.