Evidence map›Paper›PMID 33888644›Full record

ArticleAging2021

Development of a prognostic index and screening of prognosis related genes based on an immunogenomic landscape analysis of bladder cancer.

GenYi Qu, Zhengsheng Liu, Guang Yang, Yong Xu, Maolin Xiang, Cheng Tang

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 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
–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

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  10. Analysis of prognostic oncogene filaggrin (Translational andrology and urology · 2022
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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

6 authors.

GenYi QuDepartment of Urology, Zhuzhou Central Hospital, Zhuzhou 412007, China.
Zhengsheng LiuDepartment of Urology, The First Affiliated Hospital of Xiamen University, Xiamen 361003, China.
Guang YangDepartment of Urology, Zhuzhou Central Hospital, Zhuzhou 412007, China.
Yong XuDepartment of Urology, Zhuzhou Central Hospital, Zhuzhou 412007, China.
Maolin XiangDepartment of Urology, Zhuzhou Central Hospital, Zhuzhou 412007, China.
Cheng TangDepartment of Urology, Zhuzhou Central Hospital, Zhuzhou 412007, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBladder cancer (BLCA) is one of the most common urinary tract malignant tumors. It is associated with poor outcomes, and its etiology and pathogenesis are not fully understood. There is great hope for immunotherapy in treating many malignant tumors; therefore, it is worthwhile to explore the use of immunotherapy for BLCA.

methodsGene expression profiles and clinical information were obtained from The Cancer Genome Atlas (TCGA), and immune-related genes (IRGs) were downloaded from the Immunology Database and Analysis Portal. Differentially-expressed and survival-associated IRGs in patients with BLCA were identified using computational algorithms and Cox regression analysis. We also performed functional enrichment analysis. Based on IRGs, we employed multivariate Cox analysis to develop a new prognostic index.

resultsWe identified 261 IRGs that were differentially expressed between BLCA tissue and adjacent tissue, 30 of which were significantly associated with the overall survival (all P<0.01). According to multivariate Cox analysis, nine survival-related IRGs (MMP9, PDGFRA, AHNAK, OAS1, OLR1, RAC3, IGF1, PGF, and SH3BP2) were high-risk genes. We developed a prognostic index based on these IRGs and found it accurately predicted BLCA outcomes associated with the TNM stage. Intriguingly, the IRG-based prognostic index reflected infiltration of macrophages.

conclusionsAn independent IRG-based prognostic index provides a practical approach for assessing patients' immune status and prognosis with BLCA. This index independently predicted outcomes of BLCA.

Indexed as

AgedBiomarkers, TumorComputational BiologyFemaleGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansKaplan-Meier EstimateMaleMiddle AgedNeoplasm StagingPrognosisRNA-SeqTumor-Associated MacrophagesTumor MicroenvironmentUrinary BladderBiomarkers, Tumorbladder cancerimmune-related genesimmunogenomic landscapeprognostic indexThe Cancer Genome Atlas

Identifiers

PMID33888644
PMCPMC8109062

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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.