A novel cervix carcinoma biomarker: Pathological-epigenomics, integrated analysis of MethylMix algorithm and pathology for predicting response to cancer immunotherapy

Herein, A non-invasive pathomics approach was developed to reveal the methylation status in patients with cervical squamous cell carcinoma and predict clinical outcomes and treatment response. Using the MethylMix algorithm, 14 methylation-driven genes were selected for further analysis. We confirmed...

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Detalles Bibliográficos
Autores principales: Yu, Yu-Chong, Shi, Tian-Ming, Gu, Sheng-Lan, Li, Yu-Hong, Yang, Xiao-Ming, Fan, Qiong, Wang, Yu-Dong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9667097/
https://www.ncbi.nlm.nih.gov/pubmed/36408176
http://dx.doi.org/10.3389/fonc.2022.1053800

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9667097/
https://www.ncbi.nlm.nih.gov/pubmed/36408176
http://dx.doi.org/10.3389/fonc.2022.1053800

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