Evidence map›Paper›PMID 32964115›Full record

ArticleNPJ breast cancer2020

Polygenic risk score for the prediction of breast cancer is related to lesser terminal duct lobular unit involution of the breast.

Clara Bodelon, Hannah Oh, Andriy Derkach, Joshua N Sampson, Brian L Sprague, Pamela Vacek, Donald L Weaver, Shaoqi Fan, Maya Palakal, Daphne Papathomas and 14 more

Open access · goldAbstract read
In one paragraph

Article in NPJ breast cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

10 citing papers in PubMed, 22 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

24 authors at 9 institutions in 3 countries.

Clara BodelonDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD USA.ORCID 0000-0002-6578-2678
Hannah OhDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD USA.
Andriy DerkachDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD USA.
Joshua N SampsonDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD USA.
Brian L SpragueUniversity of Vermont College of Medicine and Vermont Cancer Center, Burlington, VT USA.
Pamela VacekUniversity of Vermont College of Medicine and Vermont Cancer Center, Burlington, VT USA.
Donald L WeaverUniversity of Vermont College of Medicine and Vermont Cancer Center, Burlington, VT USA.
Shaoqi FanDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD USA.
Maya PalakalDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD USA.
Daphne PapathomasDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD USA.
Jackie XiangDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD USA.
Deesha A PatelDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD USA.
Laura LinvilleDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD USA.
Susan E ClareDepartment of Surgery, Feinberg School of Medicine, Northwestern University, Chicago, IL USA.ORCID 0000-0002-9499-0855
Daniel W VisscherDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN USA.
Carolyn MiesDepartment of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA USA.
Stephen M HewittLaboratory of Pathology, Center for Cancer Research, National Cancer Institute, Bethesda, MD USA.
Louise A BrintonDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD USA.
Anna Maria V StornioloSusan G. Komen Tissue Bank at the Indiana University Simon Cancer Center, Indianapolis, IN USA.
Chunyan HeDepartment Internal Medicine, Division of Medical Oncology, College of Medicine, University of Kentucky, Lexington, KY USA.ORCID 0000-0001-9443-4368
Stephen J ChanockDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD USA.ORCID 0000-0002-2324-3393
Montserrat Garcia-ClosasDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD USA.ORCID 0000-0003-1033-2650
Gretchen L Gierach *Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD USA.ORCID 0000-0002-0165-5522
Jonine D Figueroa *Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD USA.ORCID 0000-0002-5100-623X
National Cancer Institute · USUniversity of Vermont · USEdinburgh Cancer Research · GBIndiana University Health · USKorea University · KRMayo Clinic in Arizona · USNorthwestern University · USUniversity of Kentucky · USUniversity of Pennsylvania · US

Funding

Hormone-Related CancersZIACP010126 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI GIERACH, GRETCHEN · 2009 to 2025
$103.5M
VERMONT BREAST CANCER SURVEILLANCE SYSTEMU01CA070013 · NCI · UNIVERSITY OF VERMONT &ST AGRIC COLLEGE · PI GELLER, BERTA M · 1995 to 2011
$6.7M
Vermont Breast Cancer Molecular Characterization LaboratoryU01CA196383 · NCI · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI SPRAGUE, BRIAN L, STEIN, JANET L · 2015 to 2020
$5.4M
Intramural NIH HHS ZIA CP010126NCI NIH HHS U01 CA070013NCI NIH HHS U01 CA196383
6 · The paper itself

Abstract

Terminal duct lobular units (TDLUs) are the predominant anatomical structures where breast cancers originate. Having lesser degrees of age-related TDLU involution, measured as higher TDLUs counts or more epithelial TDLU substructures (acini), is related to increased breast cancer risk among women with benign breast disease (BBD). We evaluated whether a recently developed polygenic risk score (PRS) based on 313-common variants for breast cancer prediction is related to TDLU involution in the background, normal breast tissue, as this could provide mechanistic clues on the genetic predisposition to breast cancer. Among 1398 women without breast cancer, higher values of the PRS were significantly associated with higher TDLU counts (

Indexed as

Breast cancerPredictive markers

Identifiers

PMID32964115
PMCPMC7477555
OpenAlexW3083226146

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.