Integrative machine learning frameworks to uncover specific protein signature in neuroendocrine cervical carcinoma

Integrative machine learning frameworks to uncover specific protein signature in neuroendocrine cervical carcinoma

Abstract Objective Neuroendocrine cervical carcinoma (NECC) is a rare but highly aggressive tumor. The clinical management of NECC follows neuroendocrine neoplasms and cervical cancer in general. However, the diagnosis and prognosis of NECC remain dismal. The aim of this study was to identify a spec...

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Bibliographic Details
Main Authors: Tao Shen, Tingting Dong, Haiyang Wang, Yi Ding, Jianuo Zhang, Xinyi Zhu, Yeping Ding, Wen Cai, Yalan Wei, Qiao Wang, Sufen Wang, Feiyun Jiang, Bin Tang
Format: Article
Language:English
Published: BMC 2025-01-01
Series:BMC Cancer
Subjects:
Neuroendocrine cervical carcinoma
Cervical cancer
Proteomics
Machine learning algorithms
Predictive model
Online Access:https://doi.org/10.1186/s12885-025-13454-z
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https://doi.org/10.1186/s12885-025-13454-z

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