Evidence map›Paper›PMID 32909077›Full record

ArticleCancer immunology, immunotherapy : CII2021

Immune checkpoint-related serum proteins and genetic variants predict outcomes of localized prostate cancer, a cohort study.

Qinchuan Wang, Yuanqing Ye, Hao Yu, Shu-Hong Lin, Huakang Tu, Dong Liang, David W Chang, Maosheng Huang, Xifeng Wu

Open access · hybridAbstract read
In one paragraph

Article in Cancer immunology, immunotherapy : CII, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 5 pooled it
4.7field-weighted citation impact, top 4% 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

36 citing papers in PubMed, 5 syntheses or guidelines pooled it, 54 citations in OpenAlex.

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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 6 institutions in 2 countries.

Qinchuan Wang *Department of Surgical Oncology, Affiliated Sir Run Run Shaw Hospital and Department of Epidemiology and Health Statistics School of Public Health, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Yuanqing Ye *Center for Clinical Big Data and Analytics, Bioinformatics and Big Data, The Second Affiliated Hospital and School of Public Health, Zhejiang University School of Medicine, 866 Yuhangtang Rd, Hangzhou, 310058, PR China.
Hao YuDepartment of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Shu-Hong LinDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA.
Huakang TuDepartment of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Dong LiangDepartment of Pharmaceutical Sciences, Texas Southern University, Houston, TX, USA.
David W Chang *Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Maosheng HuangDepartment of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Xifeng Wu *Center for Clinical Big Data and Analytics, Bioinformatics and Big Data, The Second Affiliated Hospital and School of Public Health, Zhejiang University School of Medicine, 866 Yuhangtang Rd, Hangzhou, 310058, PR China. xifengw@zju.edu.cn.ORCID http://orcid.org/0000-0003-2980-8129
The University of Texas MD Anderson Cancer Center · USNational Cancer Institute · USSecond Affiliated Hospital of Zhejiang University · CNSir Run Run Shaw Hospital · CNTexas Southern University · USZhejiang University · CN

Funding

Targeting Tumor Microenvironment-Induced Therapy Resistance in Prostate Cancer Bone MetastasisP50CA140388 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI LOGOTHETIS, CHRISTOPHER J., THOMPSON, TIMOTHY CHARLES · 2009 to 2022
$23.4M
NCI NIH HHS P50 CA140388
6 · The paper itself

Abstract

backgroundThe clinical predictors and biological mechanisms for localized prostate cancer (PCa) outcomes remain mostly unknown. We aim to evaluate the role of serum immune-checkpoint-related (ICK) proteins and genetic variations in predicting outcomes of localized PCa.

methodsWe profiled the serum levels of 14 ICK-related proteins (BTLA, GITR, HVEM, IDO, LAG-3, PD-1, PD-L1, PD-L2, Tim-3, CD28, CD80, 4-1BB, CD27, and CTLA-4) in 190 patients with localized PCa. The genotypes of 97 single nucleotide polymorphisms (SNPs) from 19 ICK-related genes were analyzed in an extended population (N = 1762). Meta-data from ArrayExpress and TCGA was employed to validate and to probe functional data. Patients were enrolled and tumor aggressiveness, biochemical recurrence (BCR), and progression information were obtained. Statistical analyses were performed analyzing associations between serum biomarkers, genotypes, mRNA and outcomes.

resultsWe showed that serum (s)BTLA and sTIM3 levels were associated with PCa aggressiveness (P < 0.05). sCD28, sCD80, sCTLA4, sGITR, sHVEM and sIDO correlated with both BCR and progression risks (all P < 0.05). We further identified ICK variants were significantly associated with aggressiveness, BCR and progression. Among them, 4 SNPs located in CD80 (rs7628626, rs12695388, rs491407, rs6804441) were not only associated with BCR and progression risk, but also correlated with sCD80 level (P < 0.01). rs491407 was further validated in an independent cohort. The CD80 mRNA expression was associated with BCR (HR, 1.85, 95% CI 1.06-3.22, P = 0.03) in meta-analysis of validation cohorts.

conclusionWe highlight the prognostic value of serum ICK-related proteins for predicting aggressiveness, BCR and progression of PCa. The genetic variations and mRNA expression in CD80 could be predictors and potential targets of localized PCa.

Indexed as

Genetic VariationAgedBiomarkersCohort StudiesDisease ProgressionDisease SusceptibilityGenotypeHumansImmune Checkpoint ProteinsImmunophenotypingKaplan-Meier EstimateMaleMiddle AgedNeoplasm StagingPrognosisProstatic NeoplasmsBiomarkersImmune Checkpoint ProteinsReceptors, Antigen, B-CellAggressivenessBiochemical recurrenceGenetic variationsLocalized prostate cancerProgression free survivalSerum immune checkpoint

Identifiers

PMID32909077
PMCPMC7907032
OpenAlexW3085128374

What OpenQuestion holds

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LicenceCC BY
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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.