Identification of CDK2 as a key apoptotic gene for predicting cervical cancer prognosis using bioinformatics and machine learning

This study identified CDK2 as a key apoptosis - related gene with strong diagnostic and prognostic value in cervical cancer. CDK2 promotes tumor progression and is associated with poor survival, suggesting its potential as a biomarker and therapeutic target for personalized treatment strategies in CC.

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Publication Details

Journal
American Journal of Cancer Research
Published
2025-01-01
DOI
https://doi.org/10.62347/ruxj3980
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
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article

Identification of CDK2 as a key apoptotic gene for predicting cervical cancer prognosis using bioinformatics and machine learning

Miaomiao Li
American Journal of Cancer Research
Radiomics and Machine Learning in Medical Imaging
article

Identification of CDK2 as a key apoptotic gene for predicting cervical cancer prognosis using bioinformatics and machine learning

Miaomiao Li
article en

Abstract

This study identified CDK2 as a key apoptosis - related gene with strong diagnostic and prognostic value in cervical cancer. CDK2 promotes tumor progression and is associated with poor survival, suggesting its potential as a biomarker and therapeutic target for personalized treatment strategies in CC.

American Journal of Cancer ResearchVol. 15(6)
Weifang Medical University (CN), Fourth People’s Hospital of Jinan (CN), Jinan City People's Hospital (CN), Shandong First Medical University (CN)
Good health and well-being
Openalex Percentile: Top 77%
Radiomics and Machine Learning in Medical Imaging
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