Characterization of G2/M checkpoint classifier for personalized treatment in uterine corpus endometrial carcinoma
In summary, our study developed a classifier for identifying G2MC subtypes, and this finding holds promise for advancing precision treatment strategies for UCEC.
Authors
- Xiaoxue Shi
- Chang Lu (ORCID: https://orcid.org/0009-0008-6107-6099)
- Dejia Chen
- Ge Lou (ORCID: https://orcid.org/0000-0002-0976-415X)
- Yusi Wang (ORCID: https://orcid.org/0000-0003-0198-5553)
- Yiming Liu (ORCID: https://orcid.org/0000-0001-7503-246X)
- Wenjing Pan (ORCID: https://orcid.org/0009-0008-6331-7837)
- Yue Zhao (ORCID: https://orcid.org/0000-0003-3800-5408)
- Shu Tan
- Wen Jing-lin
- Zhaoyang Jia (ORCID: https://orcid.org/0000-0001-8814-9691)
Institutions
- Harbin Medical University (CN)
- Suihua University (CN)
- Third Affiliated Hospital of Harbin Medical University (CN)
- Second Affiliated Hospital of Harbin Medical University (CN)
Publication Details
- Journal
- Cancer Cell International
- Published
- 2025-02-07
- DOI
- https://doi.org/10.1186/s12935-025-03667-4
- Citations
- 1
- Primary Topic
- Endometrial and Cervical Cancer Treatments
- Type
- article
- Field-Weighted Citation Impact
- 2.06
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Heilongjiang Province