Evidence map›Paper›PMID 34329197›Full record

ArticleAging2021

Identification of immune-related genes that predict prognosis and risk of bladder cancer: bioinformatics analysis of TCGA database.

Liqiang Guo, Qiong Wu, Zhen Ma, Mingzhen Yuan, Shengtian Zhao

Abstract read
In one paragraph

Article in Aging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Liqiang GuoShandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.
Qiong WuDepartment of Gastroenterology, The Second Hospital of Shandong University, Jinan, China.
Zhen MaCheeloo College of Medicine, Shandong University, Jinan, China.
Mingzhen YuanDepartment of Urology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.
Shengtian ZhaoBinzhou Medical University, Binzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBladder cancer (BLCA) is the major tumor of the urinary system, and immune-related genes (IRGs) contribute significantly to its initiation and prognosis.

resultsA total of 51 prognostic IRGs significantly associated with overall survival were identified. Functional enrichment analysis revealed that these genes were actively involved in tumor-related functions and pathways. Using multivariate Cox regression analysis, we detected 11 optimal IRGs (ADIPOQ, PPY, NAMPT, TAP1, AHNAK, OLR1, PDGFRA, IL34, MMP9, RAC3, and SH3BP2). We validated the prognostic value of this signature in two validation cohorts: GSE13507 (n = 165) and GSE32894 (n = 224). Furthermore, we performed a western blot and found that the expression of these IRGs matched their mRNA expression in TCGA. Moreover, correlations between risk score and immune-cell infiltration indicated that the prognostic signature reflected infiltration by several types of immune cells.

conclusionWe identified and validated an 11-IRG-based risk signature that may be a reliable tool to evaluate the prognosis of BLCA patients and help to devise individualized immunotherapies.

methodsBioinformatics analysis was performed using TCGA and ImmPort databases. Cox regression was used to identify prognostic signatures. Two external GEO cohorts and western blotting of samples were performed to validate the IRG signature.

Indexed as

AgedCell Line, TumorComputational BiologyFemaleGene Expression Regulation, NeoplasticHumansMaleMiddle AgedPrognosisProportional Hazards ModelsRisk FactorsUrinary Bladder Neoplasmsbioinformatics analysisbladder cancerimmune-related genesprognosisThe Cancer Genome Atlas

Identifiers

PMID34329197
PMCPMC8386543

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.