Evidence map›Paper›PMID 29100285›Full record

ArticleOncotarget2017

Genetic risk score to predict biochemical recurrence after radical prostatectomy in prostate cancer: prospective cohort study.

Jong Jin Oh, Seunghyun Park, Sang Eun Lee, Sung Kyu Hong, Sangchul Lee, Tae Jin Kim, In Jae Lee, Jin-Nyoung Ho, Sungroh Yoon, Seok-Soo Byun

Abstract read
In one paragraph

Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
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  6. International journal of medical sciences · 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

10 authors.

Jong Jin OhDepartment of Urology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam, Korea.
Seunghyun ParkDepartment of Electrical and Computer Engineering, Seoul National University, Seoul, Korea.
Sang Eun LeeDepartment of Urology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam, Korea.
Sung Kyu HongDepartment of Urology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam, Korea.
Sangchul LeeDepartment of Urology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam, Korea.
Tae Jin KimDepartment of Urology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam, Korea.
In Jae LeeDepartment of Urology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam, Korea.
Jin-Nyoung HoDepartment of Urology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam, Korea.
Sungroh YoonDepartment of Electrical and Computer Engineering, Seoul National University, Seoul, Korea.
Seok-Soo ByunDepartment of Urology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo investigate the genetic risk score (GRS) from a large-scale exome-wide association study as a tool of prediction for biochemical recurrence (BCR) after radical prostatectomy (RP) in prostate cancer (PCa).

resultsThe 16 SNPs were selected as significant predictors of BCR. The GRS in men experiencing BCR was -1.21, significantly higher than in non-BCR patients (-2.43) ( MATERIALS AND

methodsTotal 912 PCa patients were enrolled who had received RP and genotype analysis using Exome chip (HumanExome BeadChip). Genetic results were obtained by the methods of logistic regression analysis which measured the odds ratio (OR) to BCR. The GRS was calculated by the sum of each weighted-risk allele count multiplied by the natural logarithm of the respective ORs. Survival analyses were performed using the GRS. We compared the accuracy of separate multivariate models incorporating clinicopathological factors that either included or excluded the GRS.

conclusionsGRS had additional predictive gain of BCR after RP in PCa. The addition of personally calculated GRS significantly increased the BCR prediction rate. After validation of these results, GRS of BCR could be potential biomarker to predict clinical outcomes.

Indexed as

genetic risk scorepredictive valueprostate cancerrecurrence

Identifiers

PMID29100285
PMCPMC5652679

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.