Integrative machine learning frameworks to uncover specific protein signature in neuroendocrine cervical carcinoma
This study uncovers the significance of kNsDEPs and elucidates their regulated networks in the context of NECC. It highlights the pivotal role of kNsDEPs in NECC diagnosis, thus offering promising prospects for the development of diagnostic biomarkers for NECC.
Authors
- Feiyun Jiang (ORCID: https://orcid.org/0000-0002-1661-2146)
- Yanqiang Wei (ORCID: https://orcid.org/0000-0003-1301-528X)
- Tao Shen (ORCID: https://orcid.org/0000-0002-1129-533X)
- Yu‐Qiang Ding (ORCID: https://orcid.org/0000-0003-1202-4635)
- Wen Cai
- Qiao Wang (ORCID: https://orcid.org/0000-0002-0661-6215)
- Haiyang Wang
- Yi Ding (ORCID: https://orcid.org/0009-0000-5975-7495)
- Xinyi Zhu (ORCID: https://orcid.org/0009-0006-8106-4277)
- Bin Tang (ORCID: https://orcid.org/0000-0002-1762-3883)
- Sufen Wang (ORCID: https://orcid.org/0000-0002-0650-8556)
- Tingting Dong (ORCID: https://orcid.org/0000-0002-3564-3685)
- Jiqian Zhang (ORCID: https://orcid.org/0000-0002-1062-0460)
Institutions
- Wannan Medical College (CN)
- Wuhu Fourth People Hospital (CN)
- First Affiliated Hospital of Wannan Medical College (CN)
- Anhui Normal University (CN)
- East China Normal University (CN)
Publication Details
- Journal
- BMC Cancer
- Published
- 2025-01-10
- DOI
- https://doi.org/10.1186/s12885-025-13454-z
- Citations
- 4
- Primary Topic
- Neuroendocrine Tumor Research Advances
- Type
- article
- Field-Weighted Citation Impact
- 5.42
Funders
- National Natural Science Foundation of China