Evidence mapPaperPMID 33925895Full record

ArticleCancers2021

Associations between Genetically Predicted Circulating Protein Concentrations and Endometrial Cancer Risk.

Jingjing Zhu, Tracy A O'Mara, Duo Liu, Veronica Wendy Setiawan, Dylan Glubb, Amanda B Spurdle, Peter A Fasching, Diether Lambrechts, Daniel Buchanan, Pik Fang Kho and 13 more

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

14 citing papers in PubMed, 19 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

23 authors at 14 institutions in 6 countries.

Jingjing ZhuPopulation Sciences in the Pacific Program, Cancer Epidemiology Division, University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu, HI 96813, USA.ORCID 0000-0002-9691-6034
Tracy A O'MaraDepartment of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, QLD 4006, Australia.ORCID 0000-0002-5436-3232
Duo LiuPopulation Sciences in the Pacific Program, Cancer Epidemiology Division, University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu, HI 96813, USA.
Veronica Wendy SetiawanDepartment of Preventive Medicine, Keck School of Medicine and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA 90089, USA.
Dylan GlubbDepartment of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, QLD 4006, Australia.
Amanda B SpurdleDepartment of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, QLD 4006, Australia.
Peter A FaschingDepartment of Gynecology and Obstetrics, Comprehensive Cancer Center ER-EMN, University Hospital Erlangen, Friedrich-Alexander-University Erlangen-Nuremberg, 91054 Erlangen, Germany.ORCID 0000-0003-4885-8471
Diether LambrechtsLaboratory for Translational Genetics, Department of Human Genetics, University of Leuven, 3000 Leuven, Belgium.
Daniel BuchananDepartment of Clinical Pathology, The University of Melbourne, Melbourne, VIC 3010, Australia.ORCID 0000-0003-2225-6675
Pik Fang KhoDepartment of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, QLD 4006, Australia.
Linda S CookEpidemiology, Biostatistics and Preventive Medicine, Department of Internal Medicine, University of New Mexico, Albuquerque, NM 87131, USA.
Christine FriedenreichDepartment of Cancer Epidemiology and Prevention Research, Alberta Health Services, Calgary, AB T2S 3C3, Canada.ORCID 0000-0002-4783-1966
James V LaceyDepartment of Computational and Quantitative Medicine, City of Hope, Duarte, CA 91010, USA.
Chu ChenEpidemiology Program, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA.
Nicolas WentzensenDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA.
Immaculata De VivoDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.
Yan SunVanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Department of Medicine, Division of Epidemiology, Vanderbilt University School of Medicine, Nashville, TN 37232, USA.
Jirong LongVanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Department of Medicine, Division of Epidemiology, Vanderbilt University School of Medicine, Nashville, TN 37232, USA.
Mengmeng DuDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
Xiao-Ou ShuVanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Department of Medicine, Division of Epidemiology, Vanderbilt University School of Medicine, Nashville, TN 37232, USA.
Wei ZhengVanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Department of Medicine, Division of Epidemiology, Vanderbilt University School of Medicine, Nashville, TN 37232, USA.
Lang WuPopulation Sciences in the Pacific Program, Cancer Epidemiology Division, University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu, HI 96813, USA.
Herbert YuPopulation Sciences in the Pacific Program, Cancer Epidemiology Division, University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu, HI 96813, USA.
QIMR Berghofer Medical Research Institute · AUUniversity of Hawaiʻi at Mānoa · USVanderbilt University · USAlberta Health Services · CABrigham and Women's Hospital · USCity of Hope · USFred Hutch Cancer Center · USMemorial Sloan Kettering Cancer Center · USNational Cancer Institute · USThe Royal Melbourne Hospital · AUUniversity of California, Los Angeles · USUniversity of New Mexico · USUniversity of Southern California · USVIB-KU Leuven Center for Cancer Biology · BE

Funding

The Patient-Reported Outcomes, Community-Engagement and Language (PRO-CEL) CoreP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · 1985 to 2025
$88.4M
Transgenic and Knockout Shared ResourceP30CA015083 · MAYO CLINIC ROCHESTER · 1985 to 2025
$27.9M
STATISTICAL INNOVATIONS IN RISK MODELINGP01CA087969 · BRIGHAM AND WOMEN'S HOSPITAL · 2000 to 2005
$22.5M
CALIFORNIA TEACHERS STUDYR01CA077398 · UNIVERSITY OF SOUTHERN CALIFORNIA · 1998 to 2005
$9.6M
BIOCHEMICAL MARKERS IN THE NURSES'HEALTH STUDY COHORTR01CA049449 · BRIGHAM AND WOMEN'S HOSPITAL · 1989 to 2005
$7.7M
Multiethnic Cohort Study of Diet and CancerR37CA054281 · UNIVERSITY OF HAWAII AT MANOA · 2003 to 2005
$6.4M
MULTIETHNIC/MINORITY COHORT STUDY OF DIET AND CANCERR01CA054281 · UNIVERSITY OF HAWAII AT MANOA · 1993 to 2002
$4.5M
GENES AND THE ESTROGEN EFFECT ON ENDOMETRIAL CANCERR01CA091019 · UNIVERSITY OF SOUTHERN CALIFORNIA · 2002 to 2005
$3.2M
Epidemiology of Ovarian Cancer:New HypothesesR01CA087538 · FRED HUTCHINSON CANCER RESEARCH CENTER · 2002 to 2005
$2.9M
COLLABORATIVE STUDY OF OVARIAN CANCER IN TWO RISK GROUPSR01CA058598 · UNIVERSITY OF HAWAII AT MANOA · 1993 to 2005
$2.5M
Use of microfluidic tumor cultures to enable clinical trials of therapies for ovarian cancerP50CA136393 · MAYO CLINIC ROCHESTER · 2025 to 2025
$2.3M
Role of Genetic and Lifestyle Interplay in Uterus CancerR01CA098346 · YALE UNIVERSITY · 2003 to 2005
$1.9M
NCI NIH HHS K05 CA092002NCI NIH HHS P01 CA087969NCI NIH HHS P30 CA008748NCI NIH HHS P30 CA015083NCI NIH HHS P50 CA136393NCI NIH HHS R01 CA049449NCI NIH HHS R01 CA054281NCI NIH HHS R01 CA058598NCI NIH HHS R01 CA077398NCI NIH HHS R01 CA082838NCI NIH HHS R01 CA087538NCI NIH HHS R01 CA091019NCI NIH HHS R01 CA098346NCI NIH HHS R01 CA105212NCI NIH HHS R01 CA122443NCI NIH HHS R01 CA128978NCI NIH HHS R01 CA134958NCI NIH HHS R01 CA149429NCI NIH HHS R03 CA080636NCI NIH HHS R03 CA128008NCI NIH HHS R37 CA054281NCI NIH HHS U19 CA148065NCI NIH HHS U19 CA148112NCI NIH HHS U19 CA148537NCI NIH HHS UM1 CA186107NHLBI NIH HHS HHSN268201100001INHLBI NIH HHS HHSN268201100002INHLBI NIH HHS HHSN268201100003INHLBI NIH HHS HHSN268201100004INHLBI NIH HHS HHSN268201100046CNHLBI NIH HHS HHSN268201600001CNHLBI NIH HHS HHSN268201600002CNHLBI NIH HHS HHSN268201600003CNHLBI NIH HHS HHSN268201600004CNHLBI NIH HHS HHSN268201600018CNIA NIH HHS HHSN271201100004CNICHD NIH HHS N01 HD023166Wellcome TrustWHI NIH HHS HHSN268201100001CWHI NIH HHS HHSN268201100002CWHI NIH HHS HHSN268201100003CWHI NIH HHS HHSN268201100004C
6 · The paper itself

Abstract

Endometrial cancer (EC) is the leading female reproductive tract malignancy in developed countries. Currently, genome-wide association studies (GWAS) have identified 17 risk loci for EC. To identify novel EC-associated proteins, we used previously reported protein quantitative trait loci for 1434 plasma proteins as instruments to evaluate associations between genetically predicted circulating protein concentrations and EC risk. We studied 12,906 cases and 108,979 controls of European descent included in the Endometrial Cancer Association Consortium, the Epidemiology of Endometrial Cancer Consortium, and the UK Biobank. We observed associations between genetically predicted concentrations of nine proteins and EC risk at a false discovery rate of <0.05 (

Indexed as

endometrial cancergenetic instrumentprotein biomarkerrisk

Identifiers

PMID33925895
PMCPMC8123478
OpenAlexW3159733223

What Socratic 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 Socratic graph.