Prediction of recurrence free survival for esophageal cancer patients using a protein signature based risk model

Background: Biomarkers to predict the risk of disease recurrence in Esophageal squamous cell carcinoma (ESCC) patients are urgently needed to improve treatment. We developed proteins expression-based risk model to predict recurrence free survival for ESCC patients. Methods: Alterations in Wnt pathwa...

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Detalles Bibliográficos
Autores principales: Hasan, Raghibul, Srivastava, Gunjan, Alyass, Akram, Sharma, Rinu, Saraya, Anoop, Chattopadhyay, Tushar K., DattaGupta, Siddartha, Walfish, Paul G., Chauhan, Shyam S., Ralhan, Ranju
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2022
Materias:
Research Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9477219/
https://www.ncbi.nlm.nih.gov/pubmed/36128326
http://dx.doi.org/10.18632/oncotarget.10656

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9477219/
https://www.ncbi.nlm.nih.gov/pubmed/36128326
http://dx.doi.org/10.18632/oncotarget.10656

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