MSMO1 promotes chemotherapy resistance through modulation of T-MAS metabolism via PERK/elF2α/ATF4/CHOP pathway

Hengyu Ren1,2, Xuliren Wang1,2, Zhibo Shao1,2

  • 1Department of Breast Surgery, Key Laboratory of Breast Cancer in Shanghai, Fudan University Shanghai Cancer Center, Shanghai 200032, China.

Iscience
|March 5, 2026
PubMed

Insights

This study reveals that exosomal Methylsterol monooxygenase 1 (MSMO1) levels can predict breast cancer chemotherapy response. Higher MSMO1 indicates resistance, suggesting new therapeutic strategies for personalized treatment.

Area of Science:

  • Oncology
  • Molecular Biology
  • Biochemistry

Background:

  • Tumor metabolism exhibits dynamic plasticity, yet tools to detect metabolic shifts across tumor stages are lacking.
  • This gap limits the application of targeted metabolic therapies in cancer treatment.

Purpose of the Study:

  • To develop a noninvasive liquid biopsy method using exosomes to assess tumor metabolic profiles at the transcriptome level.
  • To investigate the role of cholesterol synthesis and MSMO1 in breast cancer response to neoadjuvant chemotherapy.

Main Methods:

  • Utilized exosomes from liquid biopsies to analyze tumor metabolic profiles.
  • Correlated exosomal transcriptome data with neoadjuvant chemotherapy response in breast cancer patients.
  • Investigated the function of Methylsterol monooxygenase 1 (MSMO1) in chemotherapy resistance via the PERK/eIF2α/ATF4/CHOP pathway.

Main Results:

  • A significant correlation was found between cholesterol synthesis and non-pathologic complete response (non-pCR) in breast cancer.
  • MSMO1 was identified as a key factor influencing breast cancer chemosensitivity.
  • MSMO1 regulates 14-demethyllanosterol (T-MAS) metabolism, contributing to chemotherapy resistance.

Conclusions:

  • Plasma exosomal MSMO1 levels can serve as a predictive biomarker for breast cancer chemotherapy response.
  • MSMO1-mediated T-MAS metabolism is a potential target for overcoming chemotherapy resistance.
  • This approach offers a promising avenue for personalized breast cancer treatment strategies.

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