Mitochondria-related chemoradiotherapy resistance genes-based machine learning model associated with immune cell infiltration on the prognosis of esophageal cancer and its value in pan-cancer

Mitochondria-related chemoradiotherapy resistance genes-based machine learning model associated with immune cell infiltration on the prognosis of esophageal cancer and its value in pan-cancer

Esophageal cancer, known for its high incidence and low five-year survival rate, poses significant treatment challenges. A key aspect of this challenge is the close link between mitochondria and resistance to chemoradiotherapy (CRT). Currently, there is a scarcity of biomarkers for predicting CRT re...

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Bibliographic Details
Main Authors: Ziyu Liu, Zahra Zeinalzadeh, Tao Huang, Yingying Han, Lushan Peng, Dan Wang, Zongjiang Zhou, DIABATE Ousmane, Junpu Wang
Format: Article
Language:English
Published: Elsevier 2024-04-01
Series:Translational Oncology
Subjects:
Chemoradiotherapy resistance
Mitochondria-related genes
Esophageal Cancer
Machine Learning Models
CTSL
Online Access:http://www.sciencedirect.com/science/article/pii/S1936523324000226

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