Integrated analysis and experiments uncover the function of disulfidptosis in predicting immunotherapy effectiveness and delineating immune landscapes in uterine corpus endometrial carcinoma
This study has designed a classification system and a disulfidptosis model for UCEC, in addition to identifying a new biomarker, LRPPRC, for UCEC. These advancements serve as reliable and positive indicators for predicting outcomes and the efficacy of immunotherapy for each UCEC patient.
Authors
- Xiangqian Gao
- Yilin Li (ORCID: https://orcid.org/0000-0002-2486-4394)
- Baolin Zhang (ORCID: https://orcid.org/0000-0002-2238-3351)
- Yingjiang Xu (ORCID: https://orcid.org/0000-0001-6492-9132)
- Ping Yi (ORCID: https://orcid.org/0000-0002-4055-0459)
- Weiwei Chen (ORCID: https://orcid.org/0000-0002-8423-1177)
- Fei Wang (ORCID: https://orcid.org/0000-0002-0947-008X)
- Lei Han (ORCID: https://orcid.org/0000-0002-2411-880X)
- Yitong Pan
- Huishu Xu
- Guo Liu
- Yu Huang
- Yanjie Yu
Institutions
- Binzhou Medical University (CN)
- University of Electronic Science and Technology of China (CN)
- Shandong University of Aeronautics (CN)
- Chinese Academy of Sciences (CN)
- Beijing Institute of Genomics (CN)
- Chongqing Medical University (CN)
Publication Details
- Journal
- Frontiers in Immunology
- Published
- 2024-10-09
- DOI
- https://doi.org/10.3389/fimmu.2024.1454730
- Citations
- 4
- Primary Topic
- Cancer-related molecular mechanisms research
- Type
- article
- Field-Weighted Citation Impact
- 1.14
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Shandong Province