Evidence map›Paper›PMID 37188791›Full record

ArticleNPJ precision oncology2023

Development and testing of a polygenic risk score for breast cancer aggressiveness.

Yiwey Shieh, Jacquelyn Roger, Christina Yau, Denise M Wolf, Gillian L Hirst, Lamorna Brown Swigart, Scott Huntsman, Donglei Hu, Jovia L Nierenberg, Pooja Middha and 13 more

Open access · goldAbstract read
In one paragraph

Article in NPJ precision oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed, 10 citations in OpenAlex.

  1. Trial
  2. PRS-BCJournal of medical genetics · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Toward Application of Polygenic Risk Scores to Both Enhance and Deintensify Breast Cancer Screening.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2024
    Article
  11. Review
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 5 institutions in 1 country.

Yiwey ShiehDepartment of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA. yis4001@med.cornell.edu.ORCID http://orcid.org/0000-0002-0159-7748
Jacquelyn RogerPhD Program in Biological and Medical Informatics, University of California, San Francisco, San Francisco, CA, USA.ORCID http://orcid.org/0000-0003-1823-0421
Christina YauDepartment of Surgery, University of California, San Francisco, San Francisco, CA, USA.ORCID http://orcid.org/0000-0002-1937-0859
Denise M WolfDepartment of Laboratory Medicine, University of California, San Francisco, San Francisco, CA, USA.
Gillian L HirstDepartment of Surgery, University of California, San Francisco, San Francisco, CA, USA.ORCID http://orcid.org/0000-0002-4502-0035
Lamorna Brown SwigartDepartment of Laboratory Medicine, University of California, San Francisco, San Francisco, CA, USA.ORCID http://orcid.org/0000-0003-2076-5177
Scott HuntsmanDivision of General Internal Medicine, Department of Medicine, University of California, San Francisco, San Francisco, CA, USA.
Donglei HuDivision of General Internal Medicine, Department of Medicine, University of California, San Francisco, San Francisco, CA, USA.ORCID http://orcid.org/0000-0002-0351-001X
Jovia L NierenbergDivision of General Internal Medicine, Department of Medicine, University of California, San Francisco, San Francisco, CA, USA.
Pooja MiddhaDivision of General Internal Medicine, Department of Medicine, University of California, San Francisco, San Francisco, CA, USA.ORCID http://orcid.org/0000-0001-5503-8215
Rachel S HeiseDepartment of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA.ORCID http://orcid.org/0000-0002-7785-4579
Yushu ShiDepartment of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA.
Linda KachuriDepartment of Epidemiology and Population Health, Stanford University, Stanford, CA, USA.
Qianqian ZhuDepartment of Biostatistics and Bioinformatics, Roswell Park Cancer Institute, Buffalo, NY, USA.ORCID http://orcid.org/0000-0003-2516-6675
Song YaoDepartment of Cancer Prevention and Control, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA.ORCID http://orcid.org/0000-0001-9442-1313
Christine B AmbrosoneDepartment of Cancer Prevention and Control, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA.ORCID http://orcid.org/0000-0003-1717-9943
Marilyn L KwanDivision of Research, Kaiser Permanente Northern California, Oakland, CA, USA.ORCID http://orcid.org/0000-0001-8863-3950
Bette J CaanDivision of Research, Kaiser Permanente Northern California, Oakland, CA, USA.
John S WitteDepartment of Epidemiology and Population Health, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0003-0146-1434
Lawrence H KushiDivision of Research, Kaiser Permanente Northern California, Oakland, CA, USA.ORCID http://orcid.org/0000-0001-9136-1175
Laura van 't VeerDepartment of Laboratory Medicine, University of California, San Francisco, San Francisco, CA, USA.ORCID http://orcid.org/0000-0002-9838-8298
Laura J EssermanDepartment of Surgery, University of California, San Francisco, San Francisco, CA, USA.ORCID http://orcid.org/0000-0001-9202-4568
Elad ZivDivision of General Internal Medicine, Department of Medicine, University of California, San Francisco, San Francisco, CA, USA.ORCID http://orcid.org/0000-0002-2324-2884
University of California, San Francisco · USCornell University · USKaiser Permanente · USRoswell Park Comprehensive Cancer Center · USStanford University · US

Funding

The I SPY 2.2 TRIAL: Evolving to Imaging and Molecular Biomarker Response Directed Adaptive Sequential Treatment to Optimize Breast Cancer OutcomesP01CA210961 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LAURA J ESSERMAN · 2017 to 2026
$22.9M
Prospective Study of Breast Cancer SurvivorshipR01CA105274 · NCI · KAISER FOUNDATION RESEARCH INSTITUTE · PI KUSHI, LAWRENCE H · 2004 to 2014
$19.9M
Infrastructure for Pathways, a Prospective Study of Breast Cancer SurvivorshipU01CA195565 · NCI · KAISER FOUNDATION RESEARCH INSTITUTE · PI AMBROSONE, CHRISTINE B., KUSHI, LAWRENCE H · 2016 to 2025
$18.8M
BMI Bioinformatics Training GrantsT32GM067547 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HERNANDEZ, RYAN D. · 2003 to 2022
$6.6M
Elucidating the molecular and contextual basis for IDLE ultralow risk lesions and the tumor immune microenvironment of high risk in situ and invasive breast cancersU01CA196406 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BOROWSKY, ALEXANDER D, ESSERMAN, LAURA J · 2015 to 2020
$5.8M
Molecular Profiles and Lifestyle Factors in Breast Cancer PrognosisR01CA129059 · NCI · KAISER FOUNDATION RESEARCH INSTITUTE · PI CAAN, BETTE J · 2009 to 2013
$3.6M
Genetics of mammographic density and breast cancer risk in LatinasK24CA169004 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ZIV, ELAD · 2012 to 2021
$1.8M
Prediction of interval breast cancer risk using genetic variantsK08CA237829 · NCI · WEILL MEDICAL COLL OF CORNELL UNIV · PI SHIEH, YIWEY · 2019 to 2023
$1.3M
NCI NIH HHS K08 CA237829NCI NIH HHS K24 CA169004NCI NIH HHS P01 CA210961NCI NIH HHS R01 CA105274NCI NIH HHS R01 CA129059NCI NIH HHS U01 CA195565NCI NIH HHS U01 CA196406NIGMS NIH HHS T32 GM067547
6 · The paper itself

Abstract

Aggressive breast cancers portend a poor prognosis, but current polygenic risk scores (PRSs) for breast cancer do not reliably predict aggressive cancers. Aggressiveness can be effectively recapitulated using tumor gene expression profiling. Thus, we sought to develop a PRS for the risk of recurrence score weighted on proliferation (ROR-P), an established prognostic signature. Using 2363 breast cancers with tumor gene expression data and single nucleotide polymorphism (SNP) genotypes, we examined the associations between ROR-P and known breast cancer susceptibility SNPs using linear regression models. We constructed PRSs based on varying p-value thresholds and selected the optimal PRS based on model r

Identifiers

PMID37188791
PMCPMC10185660
OpenAlexW4376602192

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.