A tricarboxylic acid cycle-based machine learning model to select effective drug targets for the treatment of esophageal squamous cell carcinoma

Background: The tricarboxylic acid cycle (TCA cycle) is an important metabolic pathway and closely related to tumor development. However, its role in the development of esophageal squamous cell carcinoma (ESCC) has not been fully investigated. Methods: The RNA expression profiles of ESCC samples wer...

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Detalles Bibliográficos
Autores principales: Liang, Yicheng, Tan, Binghua, Du, Minjun, Wang, Bing, Gao, Yushun, Wang, Minghui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Pharmacology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10294223/
https://www.ncbi.nlm.nih.gov/pubmed/37383713
http://dx.doi.org/10.3389/fphar.2023.1195195

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10294223/
https://www.ncbi.nlm.nih.gov/pubmed/37383713
http://dx.doi.org/10.3389/fphar.2023.1195195

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