A Novel Risk Factor Model Based on Glycolysis-Associated Genes for Predicting the Prognosis of Patients With Prostate Cancer

A Novel Risk Factor Model Based on Glycolysis-Associated Genes for Predicting the Prognosis of Patients With Prostate Cancer

BackgroundProstate cancer (PCa) is one of the most prevalent cancers among males, and its mortality rate is increasing due to biochemical recurrence (BCR). Glycolysis has been proven to play an important regulatory role in tumorigenesis. Although several key regulators or predictors involved in PCa...

Full description

Bibliographic Details
Main Authors: Kaixuan Guo, Cong Lai, Juanyi Shi, Zhuang Tang, Cheng Liu, Kuiqing Li, Kewei Xu
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-09-01
Series:Frontiers in Oncology
Subjects:
glycolysis
prostate cancer
biochemical recurrence
prognosis
risk score
prediction model
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2021.605810/full

Similar Items

Similar Items