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Updated: Feb 7, 2026

Systems Biology of Metabolic Regulation by Estrogen Receptor Signaling in Breast Cancer
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Extracellular Matrix-receptor Interaction Signaling Genes Associated with Inferior Breast Cancer Survival

Ming-Hsin Yeh1,2,3, Yau-Jin Tzeng4,5, Ting-Ying Fu6

  • 1Department of Surgery, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan, R.O.C.

Anticancer Research
|August 1, 2018
PubMed
Abstract

Insights

This study identified HMMR and SDC1 as key genes in breast cancer progression. High expression of these genes indicates a poorer prognosis, suggesting their potential as prognostic biomarkers.

Area of Science:

  • Oncology
  • Genomics
  • Molecular Biology

Background:

  • Breast cancer is a prevalent malignancy in women, with metastasis often leading to treatment failure.
  • Identifying reliable prognostic biomarkers is crucial for improving patient outcomes and therapeutic strategies.

Purpose of the Study:

  • To identify optimal differentially expressed genes (DEGs) as prognostic biomarkers for breast cancer using next-generation sequencing (NGS).
  • To investigate the correlation between gene expression and clinicopathological features and overall survival in breast cancer patients.

Main Methods:

  • Transcriptome profiles of breast cancer tissues and adjacent normal tissues from three patients were analyzed using NGS.
  • Differentially expressed genes (DEGs) were identified based on fold change, and their association with clinicopathological parameters and overall survival was evaluated.

Main Results:

  • Fifteen DEGs involved in extracellular matrix (ECM)-receptor interaction signaling were identified.
  • High HMMR expression correlated with poor pathological stage and larger tumor size.
  • High COL6A6 and Reelin (RELN) expression correlated with early pathological stage.
  • High HMMR and SDC1 expression levels were significantly associated with poor overall survival (OS).
  • Combined high expression of HMMR and SDC1 showed a significant correlation with poor OS in breast cancer patients.

Conclusions:

  • HMMR and SDC1, involved in the ECM-receptor interaction signaling pathway, show potential as effective independent prognostic biomarkers for breast ductal carcinoma.
  • These genes could aid in predicting patient outcomes and guiding treatment decisions for breast cancer.
Keywords:
Breast cancerbiomarkersextracellular matrix

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