Evidence map›Paper›PMID 35143414›Full record

ArticleAging2022

Identification and validation of an immune-related gene pairs signature for three urologic cancers.

Biao Xie, Kangjie Li, Hong Zhang, Guichuan Lai, Dapeng Li, Xiaoni Zhong

Abstract read
In one paragraph

Article in Aging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

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  11. TRIM family proteins: dual roles in tumor immunity.Frontiers in cell and developmental biology · 2026
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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.

Biao XieDepartment of Biostatistics, School of Public Health and Management, Chongqing Medical University, Chongqing, China.
Kangjie LiDepartment of Biostatistics, School of Public Health and Management, Chongqing Medical University, Chongqing, China.
Hong ZhangDepartment of Biostatistics, School of Public Health and Management, Chongqing Medical University, Chongqing, China.
Guichuan LaiDepartment of Biostatistics, School of Public Health and Management, Chongqing Medical University, Chongqing, China.
Dapeng LiInstitute of Hepatology, National Clinical Research Center for Infectious Disease, Shenzhen Third People's Hospital, Shenzhen, China.
Xiaoni ZhongDepartment of Biostatistics, School of Public Health and Management, Chongqing Medical University, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reliable biomarkers are needed to recognize urologic cancer patients at high risk for recurrence. In this study, we built a novel immune-related gene pairs signature to simultaneously predict recurrence for three urologic cancers. We gathered 14 publicly available gene expression profiles including bladder, prostate and kidney cancer. A total of 2,700 samples were classified into the training set (n = 1,622) and validation set (n = 1,078). The 25 immune-related gene pairs signature consisting of 41 unique genes was developed by the least absolute shrinkage and selection operator regression analysis and Cox regression model. The signature stratified patients into high- and low-risk groups with significantly different relapse-free survival in the meta-training set and its subpopulations, and was an independent prognostic factor of urologic cancers. This signature showed a robust ability in the meta-validation and multiple independent validation cohorts. Immune and inflammatory response, chemotaxis and cytokine activity were enriched with genes relevant to the signature. A significantly higher infiltration level of M1 macrophages was found in the high-risk group versus the low-risk group. In conclusion, our signature is a promising prognostic biomarker for predicting relapse-free survival in patients with urologic cancer.

Indexed as

Biomarkers, TumorKidney NeoplasmsHumansMaleNeoplasm Recurrence, LocalPrognosisProportional Hazards ModelsTranscriptomeBiomarkers, Tumorbladder cancerimmune-related gene pairskidney cancerprostate cancerurologic cancer

Identifiers

PMID35143414
PMCPMC8876921

What OpenQuestion holds

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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.