Evidence map›Paper›PMID 33048468›Full record

ArticleJournal of cellular and molecular medicine2020

Identification of a prognostic gene signature based on an immunogenomic landscape analysis of bladder cancer.

Yongwen Luo, Liang Chen, Qiang Zhou, Yaoyi Xiong, Gang Wang, Xuefeng Liu, Yu Xiao, Lingao Ju, Xinghuan Wang

Open access · goldAbstract read
In one paragraph

Article in Journal of cellular and molecular medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
5.9field-weighted citation impact, top 3% of its field
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

21 citing papers in PubMed, 32 citations in OpenAlex.

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  3. [High expression of secretogranin II increases oxaliplatin resistance of colorectal cancer cells].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2023
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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

9 authors at 2 institutions in 2 countries.

Yongwen LuoDepartment of Urology, Zhongnan Hospital of Wuhan University, Wuhan, China.
Liang ChenDepartment of Urology, Zhongnan Hospital of Wuhan University, Wuhan, China.
Qiang ZhouDepartment of Urology, Zhongnan Hospital of Wuhan University, Wuhan, China.
Yaoyi XiongDepartment of Urology, Zhongnan Hospital of Wuhan University, Wuhan, China.
Gang WangDepartment of Biological Repositories, Zhongnan Hospital of Wuhan University, Wuhan, China.
Xuefeng LiuDepartment of Pathology, Lombardi Comprehensive Cancer Center, Georgetown University Medical School, Washington, DC, USA.
Yu XiaoDepartment of Urology, Zhongnan Hospital of Wuhan University, Wuhan, China.ORCID 0000-0003-1377-9685
Lingao JuDepartment of Biological Repositories, Zhongnan Hospital of Wuhan University, Wuhan, China.ORCID 0000-0003-0813-3628
Xinghuan WangDepartment of Urology, Zhongnan Hospital of Wuhan University, Wuhan, China.ORCID 0000-0003-3497-0024
Wuhan University · CNGeorgetown University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer immune plays a critical role in cancer progression. Tumour immunology and immunotherapy are one of the exciting areas in bladder cancer research. In this study, we aimed to develop an immune-related gene signature to improve the prognostic prediction of bladder cancer. Firstly, we identified 392 differentially expressed immune-related genes (IRGs) based on TCGA and ImmPort databases. Functional enrichment analysis revealed that these genes were enriched in inflammatory and immune-related pathways, including in 'regulation of signaling receptor activity', 'cytokine-cytokine receptor interaction' and 'GPCR ligand binding'. Then, we separated all samples in TCGA data set into the training cohort and the testing cohort in a ratio of 3:1 randomly. Data set GSE13507 was set as the validation cohort. We constructed a prognostic six-IRG signature with LASSO Cox regression in the training cohort, including AHNAK, OAS1, APOBEC3H, SCG2, CTSE and KIR2DS4. Six IRGs reflected the microenvironment of bladder cancer, especially immune cell infiltration. The prognostic value of six-IRG signature was further validated in the testing cohort and the validation cohort. The results of multivariable Cox regression and subgroup analysis revealed that six-IRG signature was a clinically independent prognostic factor for bladder cancer patients. Further, we constructed a nomogram based on six-IRG signature and other clinicopathological risk factors, and it performed well in predict patients' survival. Finally, we found six-IRG signature showed significant difference in different molecular subtypes of bladder cancer. In conclusions, our research provided a novel immune-related gene signature to estimate prognosis for patients' survival with bladder cancer.

Indexed as

Gene Expression Regulation, NeoplasticAgedArea Under CurveBiomarkers, TumorDisease ProgressionFemaleGene Expression ProfilingGenomicsHumansInflammationLigandsMaleMiddle AgedPrognosisProportional Hazards ModelsReproducibility of ResultsBiomarkers, TumorLigandsbladder cancerimmunogenomic landscapeoverall survivalprognosisthe cancer genome atlas

Identifiers

PMID33048468
PMCPMC7701570
OpenAlexW3092222195

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Registered trials

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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.