Affiliation:
1. Department of Urology, Minhang Hospital, Fudan University, 170 Xin-Song Road, Shanghai 201199, China
Abstract
Background::
BLCA is a common urothelial malignancy characterized by a high recurrence
rate. Despite its prevalence, the molecular mechanisms underlying its development remain
unclear.
Aims::
This study aimed to explore new prognostic biomarkers and investigate the underlying
mechanism of bladder cancer (BLCA).
Objective::
The objective of this study is to identify key prognostic biomarkers for BLCA and to
elucidate their roles in the disease.
Methods::
We first collected the overlapping DEGs from GSE42089 and TCGA-BLCA samples
for the subsequent weighted gene co-expression network analysis (WGCNA) to find a key module.
Then, key module genes were analyzed by the MCODE algorithm, prognostic risk model, expression
and immunohistochemical staining to identify the prognostic hub gene. Finally, the hub gene
was subjected to clinical feature analysis, as well as cellular function assays.
Results::
In WGCNA on 1037 overlapping genes, the blue module was the key module. After a
series of bioinformatics analyses, POLE2 was identified as a prognostic hub gene in BLCA from
potential genes (TROAP, POLE2, ANLN, and E2F8). POLE2 level was increased in BLCA and
related to different clinical features of BLCA patients. Cellular assays showed that si-POLE2 inhibited
BLCA proliferation, and si-POLE2+ 740Y-P in BLCA cells up-regulated the PI3K and
AKT protein levels.
Conclusion::
In conclusion, POLE2 was identified to be a promising prognostic biomarker as an
oncogene in BLCA. It was also found that POLE2 exerts a promoting function by the PI3K/AKT
signaling pathway in BLCA.
Publisher
Bentham Science Publishers Ltd.
Subject
Organic Chemistry,Computer Science Applications,Drug Discovery,General Medicine