Mitochondrial-Localized Protein Transcript Abundance can Predict the Prognosis of Endometrial Carcinoma: A Retrospective Analysis

Mitochondrial-Localized Protein Transcript Abundance can Predict the Prognosis of Endometrial Carcinoma: A Retrospective Analysis

Background: Uterine corpus endometrial carcinoma (UCEC) is among the most common malignant tumors affecting women’s reproductive systems. Patients’ postoperative survival results differ greatly because of the significant heterogeneity of UCEC. The activity of mitochondria in UCEC and normal endometr...

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Bibliographic Details
Main Authors: Weifei Liang, Hong Lin, Donglin Sun, Minghui Tang
Format: Article
Language:English
Published: IMR Press 2023-04-01
Series:Clinical and Experimental Obstetrics & Gynecology
Subjects:
endometrioid carcinoma
prognosis
nomograms
computational biology
Online Access:https://www.imrpress.com/journal/CEOG/50/4/10.31083/j.ceog5004087

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https://www.imrpress.com/journal/CEOG/50/4/10.31083/j.ceog5004087

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