Evidence map›Paper›PMID 37612283›Full record

SynthesisNature communications2023

Androgen receptor binding sites enabling genetic prediction of mortality due to prostate cancer in cancer-free subjects.

Shuji Ito, Xiaoxi Liu, Yuki Ishikawa, David D Conti, Nao Otomo, Zsofia Kote-Jarai, Hiroyuki Suetsugu, Rosalind A Eeles, Yoshinao Koike, Keiko Hikino and 14 more

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
3.6field-weighted citation impact, top 6% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Article
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  5. Article
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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

24 authors at 20 institutions in 3 countries.

Shuji ItoRIKEN Center for Integrative Medical Sciences, The Laboratory for Statistical and Translational Genetics, Yokohama, Japan.
Xiaoxi LiuRIKEN Center for Integrative Medical Sciences, The Laboratory for Statistical and Translational Genetics, Yokohama, Japan.
Yuki IshikawaRIKEN Center for Integrative Medical Sciences, The Laboratory for Statistical and Translational Genetics, Yokohama, Japan.ORCID http://orcid.org/0000-0002-6514-8239
David D ContiCenter for Genetic Epidemiology, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Nao OtomoRIKEN Center for Integrative Medical Sciences, The Laboratory for Statistical and Translational Genetics, Yokohama, Japan.
Zsofia Kote-JaraiThe Institute of Cancer Research, London, UK.
Hiroyuki SuetsuguRIKEN Center for Integrative Medical Sciences, The Laboratory for Statistical and Translational Genetics, Yokohama, Japan.
Rosalind A EelesThe Institute of Cancer Research, London, UK.ORCID http://orcid.org/0000-0002-3698-6241
Yoshinao KoikeRIKEN Center for Integrative Medical Sciences, The Laboratory for Statistical and Translational Genetics, Yokohama, Japan.ORCID http://orcid.org/0000-0002-5431-5572
Keiko HikinoRIKEN Center for Integrative Medical Sciences, The Laboratory for Pharmacogenomics, Yokohama, Japan.ORCID http://orcid.org/0000-0002-4852-2401
Soichiro YoshinoRIKEN Center for Integrative Medical Sciences, The Laboratory for Statistical and Translational Genetics, Yokohama, Japan.
Kohei TomizukaRIKEN Center for Integrative Medical Sciences, The Laboratory for Statistical and Translational Genetics, Yokohama, Japan.
Momoko HorikoshiRIKEN Center for Integrative Medical Sciences, The Laboratory for Genomics of Diabetes and Metabolism, Yokohama, Japan.ORCID http://orcid.org/0000-0002-7103-2267
Kaoru ItoRIKEN Center for Integrative Medical Sciences, The Cardiovascular Genomics and Informatics, Yokohama, Japan.ORCID http://orcid.org/0000-0003-1843-773X
Yuji UchioDepartment of Orthopedic Surgery, Shimane University, Izumo, Japan.
Yukihide MomozawaRIKEN Center for Integrative Medical Sciences, The Laboratory for Genotyping Development, Yokohama, Japan.ORCID http://orcid.org/0000-0001-5638-3504
Michiaki KuboHaradoi Hospital, Fukuoka, Japan.
BioBank Japan Project
Yoichiro KamataniLaboratory of Complex Trait Genomics, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan.ORCID http://orcid.org/0000-0001-8748-5597
Koichi MatsudaInstitute of Medical Science, The University of Tokyo, Laboratory of Genome Technology, Human Genome Center, Tokyo, Japan.ORCID http://orcid.org/0000-0001-7292-2686
Christopher A HaimanCenter for Genetic Epidemiology, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Shiro IkegawaRIKEN Center for Integrative Medical Sciences, The Laboratory for Bone and Joint Diseases, Yokohama, Japan.
Hidewaki NakagawaRIKEN Center for Integrative Medical Sciences, Laboratory for Cancer Genomics, Yokohama, Japan.ORCID http://orcid.org/0000-0003-1807-772X
Chikashi TeraoRIKEN Center for Integrative Medical Sciences, The Laboratory for Statistical and Translational Genetics, Yokohama, Japan. chikashi.terao@riken.jp.ORCID http://orcid.org/0000-0002-6452-4095
RIKEN Center for Integrative Medical Sciences · JPNihon University · JPThe University of Tokyo · JPFukuoka Tokushukai Hospital · JPJuntendo University · JPUniversity of Southern California · USAso Iizuka Hospital · JPKyushu University · JPOsaka National Hospital · JPShiga University of Medical Science · JPShimane University · JPUniversity of Shizuoka · JPHaradoi Hospital · JPHokkaido University · JPInstitute of Cancer Research · GBIwate Medical University · JPJapan Anti Tuberculosis Association · JPKeio University · JPRoyal Marsden NHS Foundation Trust · GBThe Cancer Institute Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prostate cancer (PrCa) is the second most common cancer worldwide in males. While strongly warranted, the prediction of mortality risk due to PrCa, especially before its development, is challenging. Here, we address this issue by maximizing the statistical power of genetic data with multi-ancestry meta-analysis and focusing on binding sites of the androgen receptor (AR), which has a critical role in PrCa. Taking advantage of large Japanese samples ever, a multi-ancestry meta-analysis comprising more than 300,000 subjects in total identifies 9 unreported loci including ZFHX3, a tumor suppressor gene, and successfully narrows down the statistically finemapped variants compared to European-only studies, and these variants strongly enrich in AR binding sites. A polygenic risk scores (PRS) analysis restricting to statistically finemapped variants in AR binding sites shows among cancer-free subjects, individuals with a PRS in the top 10% have a strongly higher risk of the future death of PrCa (HR: 5.57, P = 4.2 × 10

Indexed as

Neoplasms, Second PrimaryProstatic NeoplasmsAndrogensBinding SitesHumansMaleMultifactorial InheritanceReceptors, AndrogenAndrogensAR protein, humanReceptors, Androgen

Identifiers

PMID37612283
PMCPMC10447511
OpenAlexW4386092784

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.