Evidence map›Paper›PMID 35836192›Full record

ArticleJournal of translational medicine2022

SLC26A4 correlates with homologous recombination deficiency and patient prognosis in prostate cancer.

Cong Luo, Zhi Liu, Yu Gan, Xiaomei Gao, Xiongbing Zu, Ye Zhang, Wenrui Ye, Yi Cai

Open access · goldAbstract read
In one paragraph

Article in Journal of translational medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 28% 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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
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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 at 1 institution in 1 country.

Cong LuoDepartment of Urology, Disorders of Prostate Cancer Multidisciplinary Team, Xiangya Hospital, Central South University, No. 87 Xiangya Road, Changsha, 410008, Hunan, People's Republic of China.
Zhi LiuDepartment of Urology, Disorders of Prostate Cancer Multidisciplinary Team, Xiangya Hospital, Central South University, No. 87 Xiangya Road, Changsha, 410008, Hunan, People's Republic of China.
Yu GanDepartment of Urology, Disorders of Prostate Cancer Multidisciplinary Team, Xiangya Hospital, Central South University, No. 87 Xiangya Road, Changsha, 410008, Hunan, People's Republic of China.
Xiaomei GaoNational Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, No. 87 Xiangya Road, Changsha, 410008, Hunan, People's Republic of China.
Xiongbing ZuDepartment of Urology, Disorders of Prostate Cancer Multidisciplinary Team, Xiangya Hospital, Central South University, No. 87 Xiangya Road, Changsha, 410008, Hunan, People's Republic of China.
Ye ZhangNational Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, No. 87 Xiangya Road, Changsha, 410008, Hunan, People's Republic of China. yezhang90@163.com.
Wenrui YeNational Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, No. 87 Xiangya Road, Changsha, 410008, Hunan, People's Republic of China. yeevri@126.com.
Yi CaiDepartment of Urology, Disorders of Prostate Cancer Multidisciplinary Team, Xiangya Hospital, Central South University, No. 87 Xiangya Road, Changsha, 410008, Hunan, People's Republic of China. cai-yi@csu.edu.cn.ORCID 0000-0001-7773-2064
Central South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHomologous recombination deficiency (HRD) is closely associated with patient prognosis and treatment options in prostate cancer (PCa). However, there is a lack of quantitative indicators related to HRD to predict the prognosis of PCa accurately.

methodsWe screened HRD-related genes based on the HRD scores and constructed an HRD cluster system to explore different clinicopathological, genomic, and immunogenomic patterns among the clusters. A risk signature, HRDscore, was established and evaluated by multivariate Cox regression analysis. We noticed that SLC26A4, a model gene, demonstrated unique potential to predict prognosis and HRD in PCa. Multi-omics analysis was conducted to explore its role in PCa, and the results were validated by qRT-PCR and immunohistochemistry.

resultsThree HRD clusters were identified with significant differences in patient prognosis, clinicopathological characteristics, biological pathways, immune infiltration characteristics, and regulation of immunomodulators. Further analyses revealed that the constructed HRDscore system was an independent prognostic factor of PCa patients with good stability. Finally, we identified a single gene, SLC26A4, which significantly correlated with prognosis in three independent cohorts. Importantly, SLC26A4 was confirmed to distinguish PCa (AUC for mRNA 0.845; AUC for immunohistochemistry score 0.769) and HRD (AUC for mRNA 0.911; AUC for immunohistochemistry score 0.689) at both RNA and protein levels in our cohort.

conclusionThis study introduces HRDscore to quantify the HRD pattern of individual PCa patients. Meanwhile, SLC26A4 is a novel biomarker and can reasonably predict the prognosis and HRD in PCa.

Indexed as

Prostatic NeoplasmsHomologous RecombinationHumansMalePrognosisRNA, MessengerSulfate TransportersRNA, MessengerSLC26A4 protein, humanSulfate TransportersHomologous recombination deficiencyPARP inhibitorsPrognosisProstate cancerSLC26A4

Identifiers

PMID35836192
PMCPMC9281181
OpenAlexW4285386484

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.