Metabolism-associated marker gene-based predictive model for prognosis, targeted therapy, and immune landscape in ovarian cancer: an integrative analysis of single-cell and bulk RNA sequencing with spatial transcriptomics
The MRG-based prognostic model constructed through the combined analysis of glycolysis metabolism, lipid metabolism, choline metabolism, and sphingolipid metabolism is potentially effective as a prognostic biomarker. Furthermore, candesartan and PD-123319 may be potential therapeutic drugs for OC, possibly acting on the target ATGR2.
Authors
- Bimeng Zhang (ORCID: https://orcid.org/0000-0002-8236-4435)
- Lele Ling (ORCID: https://orcid.org/0000-0002-6782-4181)
- Kaiyong Zhang (ORCID: https://orcid.org/0000-0002-1343-8584)
- Peng Liu
- Siwen Li (ORCID: https://orcid.org/0000-0003-0784-134X)
- Te Liu (ORCID: https://orcid.org/0000-0003-3976-3489)
- Yinjie Hu
- Bingrong Li
- Boliang Ke
Institutions
- University of Shanghai for Science and Technology (CN)
- Shanghai Jiao Tong University (CN)
- Shanghai East Hospital (CN)
- Shanghai First People's Hospital (CN)
- Shanghai Sixth People's Hospital (CN)
Publication Details
- Journal
- BMC Women s Health
- Published
- 2025-05-17
- DOI
- https://doi.org/10.1186/s12905-025-03750-y
- Citations
- 2
- Primary Topic
- Cancer-related molecular mechanisms research
- Type
- article
- Field-Weighted Citation Impact
- 1.87