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Related Experiment Video

Updated: Sep 19, 2025

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
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Molecular biomarkers for the prognosis of breast cancer: role of amino acid metabolism genes.

Yudong Zhou1,2, Shibo Yu1,3, Lizhe Zhu1,2

  • 1Department of Breast Surgery, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, Shaan'xi Province, China.

Journal of Physiology and Biochemistry
|June 10, 2025
PubMed
Summary

This study identifies amino acid metabolism genes as key predictors for breast cancer prognosis and survival. These genes also correlate with the tumor immune microenvironment, offering new therapeutic targets.

Keywords:
Amino acid metabolism-related genesBreast cancerImmune microenvironmentMachine learningPrognosis

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Area of Science:

  • Oncology
  • Molecular Biology
  • Bioinformatics

Background:

  • Accurate breast cancer prognosis is crucial for effective treatment.
  • Molecular biomarkers can significantly improve patient outcomes.
  • The interplay between tumor metabolism and the immune microenvironment is complex.

Purpose of the Study:

  • To investigate amino acid metabolism-related genes (AAMRGs) as predictive markers for breast cancer prognosis.
  • To explore the association between AAMRGs and the immune-tumour microenvironment.
  • To develop and validate a prognostic risk model based on AAMRGs.

Main Methods:

  • Utilized advanced machine learning algorithms and bioinformatics analysis.
  • Examined the impact of AAMRGs on patient immune status and overall survival.
  • Established and validated a risk model using specific genes (AIMP2, IYD, QARS1).

Main Results:

  • The validated risk model accurately predicted patient outcomes at 1, 3, and 5 years.
  • Evidence suggests QARS1 influences breast cancer cell proliferation via methionine metabolism.
  • Identified significant associations between AAMRGs, prognosis, and the immune microenvironment.

Conclusions:

  • Amino acid metabolism genes are significant prognostic biomarkers for breast cancer.
  • AAMRGs offer potential as therapeutic targets for personalized treatment strategies.
  • Understanding AAMRG roles enhances insights into breast cancer mechanisms and immune interactions.