Depleted-MLH1 Expression Predicts Prognosis and Immunotherapeutic Efficacy in Uterine Corpus Endometrial Cancer: An In Silico Approach

Depleted-MLH1 Expression Predicts Prognosis and Immunotherapeutic Efficacy in Uterine Corpus Endometrial Cancer: An In Silico Approach

Uterine corpus endometrial carcinoma (UCEC) poses significant clinical challenges due to its high incidence and poor prognosis, exacerbated by the lack of effective screening methods. The standard treatment for UCEC typically involves surgical intervention, with radiation and chemotherapy as potenti...

Full description

Bibliographic Details
Main Authors: Tesfaye Wolde, Jing Huang, Peng Huang, Vijay Pandey, Peiwu Qin
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:BioMedInformatics
Subjects:
DNA methylation
immunotherapeutic efficacy
MLH1
prognosis
Uterine Corpus Endometrial Cancer
Online Access:https://www.mdpi.com/2673-7426/4/1/19

Internet

https://www.mdpi.com/2673-7426/4/1/19

Similar Items