Publications

Journal Article Review Epublish

PubMed: 40191206 DOI: 10.3389/fimmu.2025.1573686

Organoid models of ovarian cancer: resolving immune mechanisms of metabolic reprogramming and drug resistance.

Front Immunol 16:1573686

Authors: Lanyue Zhang, Jiangnan Zhao, Chunyu Su, Jianxi Wu, Lai Jiang, Hao Chi, Qin Wang

Affiliations

  • Clinical Medical College, Southwest Medical University, Luzhou, China.
  • Department of Preventive Medicine, Southwest Medical University, Luzhou, China.
  • Sichuan Provincial Center for Gynecology and Breast Diseases (Gynecology), Affiliated Hospital of Southwest Medical University, Luzhou, China.

Abstract

Metabolic reprogramming is a hallmark of ovarian cancer, enabling tumor progression, immune evasion and drug resistance. The tumor microenvironment (TME) further shapes metabolic adaptations, enabling cancer cells to withstand hypoxia and nutrient deprivation. While organoid models provide a physiologically relevant platform for studying these processes, they still lack immune and vascular components, limiting their ability to fully recapitulate tumor metabolism and drug responses. In this study, we investigated the key metabolic mechanisms involved in ovarian cancer progression, focusing on glycolysis, lipid metabolism and amino acid metabolism. We integrated metabolomic analyses and drug sensitivity assays to explore metabolic-TME interactions using patient-derived, adult stem cell-derived and iPSC-derived organ tissues. Among these, we found that glycolysis, lipid metabolism and amino acid metabolism play a central role in tumor progression and chemotherapy resistance. We identified methylglyoxal (MGO)-mediated BRCA2 dysfunction as a driver of immune escape, a role for sphingolipid signaling in tumor proliferation and a role for kynurenine metabolism in CD8+ T cell suppression. In addition, PI3K/AKT/mTOR and Wnt/β-catenin pathways promote chemoresistance through metabolic adaptation. By elucidating the link between metabolic reprogramming and immune evasion, this study identifies key metabolic vulnerabilities and potential drug targets in ovarian cancer. Our findings support the development of metabolically targeted therapies and increase the utility of organoid-based precision medicine models.

MeSH

Cells, Pharmaceutical Preparations, Amino Acids, Neoplasms, Organoids, Immune System Diseases, Ovarian Neoplasms, Drug Resistance, Immune Evasion

Cited by