Evidence map›Paper›PMID 32850407›Full record

ArticleFrontiers in oncology2020

Prognostic Value of Immune-Related Genes in the Tumor Microenvironment of Bladder Cancer.

Faping Li, Haolin Teng, Mingdi Liu, Bin Liu, Difei Zhang, Zhixiang Xu, Yishu Wang, Honglan Zhou

Abstract read
In one paragraph

Article in Frontiers in oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

24 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

8 authors.

Faping LiDepartment of Urology, The First Hospital of Jilin University, Changchun, China.
Haolin TengDepartment of Urology, The First Hospital of Jilin University, Changchun, China.
Mingdi LiuKey Laboratory of Pathobiology, Ministry of Education, Jilin University, Changchun, China.
Bin LiuDepartment of Urology, The First Hospital of Jilin University, Changchun, China.
Difei ZhangDepartment of Urology, The First Hospital of Jilin University, Changchun, China.
Zhixiang XuKey Laboratory of Pathobiology, Ministry of Education, Jilin University, Changchun, China.
Yishu WangKey Laboratory of Pathobiology, Ministry of Education, Jilin University, Changchun, China.
Honglan ZhouDepartment of Urology, The First Hospital of Jilin University, Changchun, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The tumor microenvironment (TME) is a complex system that plays an important role in tumor development and progression, but the current knowledge about its effect on bladder cancer (BC) is scarce. In this study, we performed a comprehensive analysis of the relationship between the TME and gene expression profiles to identify prognostic biomarkers for BC. The ESTIMATE algorithm was used to calculate immune and stromal scores of BC patients who were obtained from the Gene Expression Omnibus database. We found that the immune and stromal scores were associated with clinical characteristics and the prognosis of BC patients. Based on these scores, 104 immune-related differentially expressed genes were identified. Further, functional enrichment analysis revealed that these genes were mainly involved in the immune-related biological processes and signaling pathways. Three prognostic genes were then identified and used to establish a risk prediction model using Cox regression analyses. Kaplan-Meier survival analysis showed that the expression levels of COL1A1, COMP, and SERPINE2 significantly correlated with cancer-specific survival and overall survival of BC patients. Additionally, we validated the prognostic values of these genes using two independent cohorts from The Cancer Genome Atlas and Gene Expression Omnibus databases. Finally, the relationships between the three prognostic genes and several immune cells were evaluated using Tumor Immune Estimation Resource, indicating that the expression levels of COL1A1, COMP, and SERPINE2 correlated positively with the tumor infiltration levels of CD4

Indexed as

bladder cancercancer-specific survivalimmune scoreoverall survivalprognosisstromal scoretumor microenvironment

Identifiers

PMID32850407
PMCPMC7399341

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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.