Evidence map›Paper›PMID 29114882›Full record

ArticleInternational journal of cancer2018

A comprehensive analysis of polymorphic variants in steroid hormone and insulin-like growth factor-1 metabolism and risk of in situ breast cancer: Results from the Breast and Prostate Cancer Cohort Consortium.

Myrto Barrdahl, Federico Canzian, Mia M Gaudet, Susan M Gapstur, Antonia Trichopoulou, Kostas Tsilidis, Carla H van Gils, Signe Borgquist, Elisabete Weiderpass, Kay-Tee Khaw and 14 more

Open access · bronzeAbstract readMulticenter Study
In one paragraph

Article in International journal of cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 84% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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 17 institutions in 10 countries.

Myrto BarrdahlDivision of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.ORCID 0000-0003-4661-0763
Federico CanzianGenomic Epidemiology Group, German Cancer Research Center (DKFZ), Heidelberg, Germany.ORCID 0000-0002-4261-4583
Mia M GaudetEpidemiology Research Program, American Cancer Society, Atlanta, GA.
Susan M GapsturEpidemiology Research Program, American Cancer Society, Atlanta, GA.
Antonia TrichopoulouHellenic Health Foundation, Athens, Greece.
Kostas TsilidisDepartment of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece.
Carla H van GilsDepartment of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands.
Signe BorgquistClinical Trial Unit, Skåne University Hospital, Lund, Sweden.ORCID 0000-0001-7938-8893
Elisabete WeiderpassDepartment of Community Medicine, Faculty of Health Sciences, University of Tromsø, The Arctic University of Norway, Tromsø, Norway.
Kay-Tee KhawDepartment of Public Health and Primary Care, School of Clinical Medicine, Addenbrooke's Hospital, University of Cambridge, Cambridge, United Kingdom.
Graham G GilesCancer Epidemiology Centre, Cancer Council Victoria, Melbourne, VIC, Australia.
Roger L MilneCancer Epidemiology Centre, Cancer Council Victoria, Melbourne, VIC, Australia.
Loic Le MarchandCancer Research Center of Hawaii, University of Hawaii, Honolulu, HI.
Christopher HaimanDepartment of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA.
Sara LindströmDepartment of Epidemiology, University of Washington; Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA.
Peter KraftProgram in Genetic Epidemiology and Statistical Genetics, Department of Epidemiology, Harvard School of Public Health, 677 Huntington Avenue, Boston, MA.
David J HunterProgram in Genetic Epidemiology and Statistical Genetics, Department of Epidemiology, Harvard School of Public Health, 677 Huntington Avenue, Boston, MA.
Regina ZieglerDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Pike Bethesda, MD.
Stephen J ChanockDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Pike Bethesda, MD.
Xiaohong R YangDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Pike Bethesda, MD.
Julie E BuringDivisions of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA.
I-Min LeeDivisions of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA.
Rudolf KaaksDivision of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.ORCID 0000-0003-3751-3929
Daniele CampaDepartment of Biology, University of Pisa, Pisa, Italy.ORCID 0000-0003-3220-9944
German Cancer Research Center · DEAmerican Cancer Society · USBrigham and Women's Hospital · USHarvard University · USNational Cancer Institute · USThe University of Melbourne · AUFrederick National Laboratory for Cancer Research · USHellenic Health Foundation · GRKarolinska Institutet · SELund University · SEUniversity Medical Center Utrecht · NLUniversity of Cambridge · GBUniversity of Hawaiʻi at Mānoa · USUniversity of Ioannina · GRUniversity of Pisa · ITUniversity of Southern California · USUniversity of Washington · US

Funding

Characterizing Genetic Susceptibility to Breast and Prostate Cancer; the BPC3U01CA098758 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI HENDERSON, BRIAN E · 2003 to 2010
$11.0M
Characterizing Genetic Susceptibility to Breast and Prostate Cancer; the BPC3U01CA098233 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI HUNTER, DAVID JOHN · 2003 to 2010
$10.8M
Epidemiologic StudiesU19CA148065 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI AHSAN, HABIBUL, BRUGGE, JOAN SIEFERT · 2010 to 2014
$10.6M
Characterizing Genetic Susceptibility to Breast and Prostate Cancer; the BPC3U01CA098216 · NCI · INTERNATIONAL AGENCY FOR RES ON CANCER · PI RIBOLI, ELIO · 2003 to 2011
$7.4M
Characterizing Genetic Susceptibility to Breast and Prostate Cancer: The BPC3.U01CA098710 · NCI · AMERICAN CANCER SOCIETY, INC. · PI GAPSTUR, SUSAN M · 2003 to 2011
$4.2M
Cancer Research UK 14136Medical Research Council G0401527Medical Research Council G1000143Medical Research Council MR/N003284/1NCI NIH HHS U01 CA098216NCI NIH HHS U01 CA098233NCI NIH HHS U01 CA098710NCI NIH HHS U01 CA098758NCI NIH HHS U19 CA148065
6 · The paper itself

Abstract

We assessed the association between 1,414 single nucleotide polymorphisms (SNPs) in genes involved in synthesis and metabolism of steroid hormones and insulin-like growth factor 1, and risk of breast cancer in situ (BCIS), with the aim of determining whether any of these were disease specific. This was carried out using 1,062 BCIS cases and 10,126 controls as well as 6,113 invasive breast cancer cases from the Breast and Prostate Cancer Cohort Consortium (BPC3). Three SNPs showed at least one nominally significant association in homozygous minor versus homozygous major models. ACVR2A-rs2382112 (OR

Indexed as

Activin Receptors, Type IIAgedAntigens, CDBreast Carcinoma In SituBreast NeoplasmsCase-Control StudiesFemaleGenetic Predisposition to DiseaseGonadal Steroid HormonesHumansInsulin-Like Growth Factor IIntronsMicrotubule-Associated ProteinsMiddle AgedPolymorphism, Single NucleotidePromyelocytic Leukemia ProteinActivin Receptors, Type IIactivin receptor type II-AAntigens, CDGonadal Steroid HormonesIGF1 protein, humanINSR protein, humanInsulin-Like Growth Factor IMAST2 protein, humanMicrotubule-Associated ProteinsPML protein, humanPromyelocytic Leukemia ProteinProtein Serine-Threonine KinasesReceptor, InsulinBPC3breast cancer in situgenetic epidemiologysingle nucleotide polymorphisms

Identifiers

PMID29114882
PMCPMC6610718
OpenAlexW2784328123

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.