2022
DOI: 10.1155/2022/3387671
|View full text |Cite
|
Sign up to set email alerts
|

Identification of MAN1B1 as a Novel Marker for Bladder Cancer and Its Relationship with Immune Cell Infiltration

Abstract: Bladder cancer (BC) is a common malignant tumor of the genitourinary system, and there are not enough tumor biomarker tests that are specific, trustworthy, and noninvasive for the diagnosis and prognosis. The purpose of this study is to investigate the clinical relevance, prognostic value, and immunological signature of Mannosidase alpha class 1B member 1(MAN1B1) expressions in BC. The Cancer Genome Atlas (TCGA) and Genotype-Tissue Expression (GTEx) databases provided the raw information that was used to analy… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2022
2022
2022
2022

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 30 publications
(29 reference statements)
0
1
0
Order By: Relevance
“…developed a novel signature based on pyroptosis-related lncRNAs in BC, playing vital roles in cancer immunology and serving as potential therapeutic targets [ 32 ]. MAN1B1 was also revealed as a new biomarker for BC and strongly linked with immune cells infiltration degree [ 33 ]. As for this study, it was the first time for us to build a predictive signature for BC based on ARGs and to explore the correlations between our established signature and clinicopathological features.…”
Section: Discussionmentioning
confidence: 99%
“…developed a novel signature based on pyroptosis-related lncRNAs in BC, playing vital roles in cancer immunology and serving as potential therapeutic targets [ 32 ]. MAN1B1 was also revealed as a new biomarker for BC and strongly linked with immune cells infiltration degree [ 33 ]. As for this study, it was the first time for us to build a predictive signature for BC based on ARGs and to explore the correlations between our established signature and clinicopathological features.…”
Section: Discussionmentioning
confidence: 99%