Plasma Proteomics and Metabolomics of Aromatase Inhibitors-Related Musculoskeletal Syndrome in Early Breast Cancer

Feng Jing1, Lingyun Jiang1, Yuling Cao1

  • 1School of Nursing, Fudan University and Fudan University Centre for Evidence-Based Nursing: A Joanna Briggs Institute Centre of Excellence, Shanghai 200032, China.

Metabolites
|March 26, 2025
PubMed
Abstract

Insights

Aromatase inhibitors-related musculoskeletal syndrome (AIMSS) in breast cancer patients may be predicted by protein and metabolite biomarkers. This study identified key pathways and molecules offering new therapeutic targets for AIMSS.

Area of Science:

  • Oncology
  • Endocrinology
  • Biochemistry

Background:

  • Aromatase inhibitors-related musculoskeletal syndrome (AIMSS) is a frequent side effect of endocrine therapy for early breast cancer.
  • AIMSS can lead to treatment discontinuation and reduced quality of life for patients.

Purpose of the Study:

  • To characterize AIMSS, explore its pathogenesis, and identify protein and metabolic biomarkers.
  • To discover potential targets for monitoring and treating AIMSS.

Main Methods:

  • Peripheral blood samples were collected from 60 breast cancer patients undergoing aromatase inhibitor therapy (30 with AIMSS, 30 without).
  • Proteomics and untargeted metabolomics were performed using 4D-DIA LC-MS.
  • Analysis identified 3473 proteins and 1247 metabolites.

Main Results:

  • Significant protein differences were observed in pathways including chemokine signaling, cytokine-cytokine receptor interaction, complement and coagulation cascades, neuroactive ligand-receptor interaction, and estrogen signaling.
  • Metabolomic analysis revealed significant alterations in GnRH secretion, sphingolipid signaling, estrogen signaling, and steroidogenesis pathways.
  • Potential biomarkers such as Complement C3, platelet factor 4, KRT10, KRT14, beta-estradiol, testosterone, sphingosine, and 1-stearoyl-2-arachidonoyl-sn-glycerol were identified.

Conclusions:

  • This research provides novel insights into the mechanisms of AIMSS.
  • Identified biomarkers may aid in predicting and managing AIMSS in breast cancer patients.
  • Findings pave the way for improved intervention strategies for AIMSS.