Evidence map›Paper›PMID 28521362›Full record

ArticleJournal of the National Cancer Institute2017

Association of Common Genetic Variants With Contralateral Breast Cancer Risk in the WECARE Study.

Mark E Robson, Anne S Reiner, Jennifer D Brooks, Patrick J Concannon, Esther M John, Lene Mellemkjaer, Leslie Bernstein, Kathleen E Malone, Julia A Knight, Charles F Lynch and 10 more

Abstract read
In one paragraph

Article in Journal of the National Cancer Institute, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
–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

23 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  7. Breast cancer polygenic risk scores: a 12-month prospective study of patient reported outcomes and risk management behavior.Genetics in medicine : official journal of the American College of Medical Genetics · 2021
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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

20 authors.

Mark E RobsonDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Anne S ReinerMemorial Sloan Kettering Cancer Center, New York, NY, USA.
Jennifer D BrooksEpidemiology Division, University of Toronto, Dalla Lana School of Public Health Sciences, Toronto, ON, Canada.
Patrick J ConcannonGenetics Institute, University of Florida, Gainesville, FL, USA.
Esther M JohnDivision of Epidemiology, Department of Health Research and Policy, Cancer Prevention Institute of California, Fremont, CA, USA.
Lene MellemkjaerDanish Cancer Society, Copenhagen, Denmark.
Leslie BernsteinDivision of Cancer Etiology, Department of Population Sciences, Beckman Research Institute, City of Hope National Medical Center, Duarte, CA, USA.
Kathleen E MaloneDivision of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
Julia A KnightEpidemiology Division, University of Toronto, Dalla Lana School of Public Health Sciences, Toronto, ON, Canada.
Charles F LynchDepartment of Epidemiology, University of Iowa, Iowa City, IA, USA.
Meghan WoodsDepartment of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center, New York,NY, USA.
Xiaolin LiangDepartment of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center, New York,NY, USA.
Robert W HaileStanford School of Medicine, Stanford, CA, USA.
David J DugganIntegrated Cancer Genomics Division, Translational Genomics Research Institute (TGen), Phoenix, AZ, USA.
Roy E ShoreDepartment of Population Health, New York University, New York, NY, USA.
Susan A SmithDepartment of Radiation Physics, University of Texas, MD Anderson Cancer Center, Houston, TX, USA.
Duncan C ThomasDivision of Biostatistics, Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.
Daniel O StramDivision of Biostatistics and Genetic Epidemiology, University of Southern California, Los Angeles, CA, USA.
Jonine L BernsteinDepartment of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center, New York,NY, USA.
WECARE Study Collaborative Group

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
Viral VectorP30CA086862 · NCI · UNIVERSITY OF IOWA · PI Douglas Robert Spitz · 2000 to 2026
$70.0M
Genome-Wide Association Study of Radiation Exposure and Bilateral Breast CancerR01CA129639 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI BERNSTEIN, JONINE L. · 2009 to 2013
$15.6M
Molecular pathoepidemiology of contralateral breast cancerR01CA206464 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI BERNSTEIN, JONINE L., MALONE, KATHLEEN E · 2017 to 2022
$7.0M
NCI NIH HHS P30 CA008748NCI NIH HHS R01 CA129639NCI NIH HHS R01 CA206464
6 · The paper itself

Abstract

Background: Women with unilateral breast cancer (UBC) are at risk of developing a subsequent contralateral breast cancer (CBC). Common variants are associated with breast cancer risk. Whether these influence CBC risk is unknown. Methods: Participants were breast cancer cases from the population-based Women's Environmental Cancer and Radiation Epidemiology (WECARE) Study. Sixty-seven established breast cancer risk loci were genotyped directly or by imputation in 1459 case subjects with CBC and 2126 UBC control subjects. An unweighted polygenic risk score (PRS) was created by summing the number of risk alleles for each directly genotyped single nucleotide polymorphism (SNP), or for imputed loci, the imputed dosage. A weighted PRS was calculated similarly, but where each SNP's contribution was weighted by the published per-allele log odds ratio. Unweighted and weighted polygenic risk scores and CBC risk were modeled using conditional logistic regression. Cumulative CBC risk was estimated and benchmarked using Surveillance, Epidemiology, and End Results population incidence rates. Results: Both unweighted and weighted PRS were statistically significantly associated with CBC risk. The adjusted risk ratio of CBC in women in the upper quartile of unweighted PRS compared with the lowest quartile was 1.63 (95% confidence interval [CI] = 1.33 to 2.00). The estimated 10-year cumulative risk for women in the upper quartile of the unweighted PRS was 7.4% (95% CI = 6.0% to 9.1%). For women in the upper quartile of the weighted PRS, the risk ratio for CBC was 1.75 (95% CI = 1.41 to 2.18) compared with women in the lowest quartile. There was no statistically significant heterogeneity by age, treatment (radiation therapy dose, tamoxifen, chemotherapy), estrogen receptor status of the first primary, histology of the first primary, length of at-risk period for CBC, or breast cancer family history. Conclusions: Common genomic variants associated with the development of first primary breast cancer are also associated with the development of CBC; the risk is strongest among those who carry more risk alleles.

Indexed as

Polymorphism, Single NucleotideAdultBreast NeoplasmsCase-Control StudiesEnvironmental ExposureFemaleGenetic Association StudiesGenetic Predisposition to DiseaseHumansMiddle AgedNeoplasm Recurrence, LocalSEER ProgramUnited StatesYoung Adult

Identifiers

PMID28521362
PMCPMC5939625

What OpenQuestion holds

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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.