Evidence map›Paper›PMID 29801090›Full record

ArticleJAMA oncology2018

Uptake, Results, and Outcomes of Germline Multiple-Gene Sequencing After Diagnosis of Breast Cancer.

Allison W Kurian, Kevin C Ward, Ann S Hamilton, Dennis M Deapen, Paul Abrahamse, Irina Bondarenko, Yun Li, Sarah T Hawley, Monica Morrow, Reshma Jagsi and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in JAMA oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 91 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
91citing papers in PubMed, 2 pooled it
17.9field-weighted citation impact, top 1% 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

91 citing papers in PubMed, 2 syntheses or guidelines pooled it, 185 citations in OpenAlex.

  1. How variants of uncertain significance affect clinical decisions: A systematic review.Genetics in medicine : official journal of the American College of Medical Genetics · 2026
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  18. Early breast cancer in youngTherapeutic advances in medical oncology · 2025
    Review
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31 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 5 institutions in 1 country.

Allison W KurianDepartments of Medicine and Health Research and Policy, Stanford University, Stanford, California.
Kevin C WardDepartment of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia.
Ann S HamiltonDepartment of Preventive Medicine in the Keck School of Medicine, Keck School of Medicine, University of Southern California, Los Angeles.
Dennis M DeapenDepartment of Preventive Medicine in the Keck School of Medicine, Keck School of Medicine, University of Southern California, Los Angeles.
Paul AbrahamseDepartment of Biostatistics, School of Public Health, University of Michigan, Ann Arbor.
Irina BondarenkoDepartment of Biostatistics, School of Public Health, University of Michigan, Ann Arbor.
Yun LiDepartment of Biostatistics, School of Public Health, University of Michigan, Ann Arbor.
Sarah T HawleyDepartment of Internal Medicine, Division of General Medicine, Department of Health Management and Policy, School of Public Health, University of Michigan, Ann Arbor, and Veterans Administration Center for Clinical Management Research, Ann Arbor VA Health Care System, Ann Arbor.
Monica MorrowMemorial Sloan-Kettering Cancer Center, Department of Surgery, New York, New York.
Reshma JagsiCenter for Bioethics and Social Science in Medicine, Oncology, Department of Radiation, University of Michigan, Ann Arbor.
Steven J KatzDepartment of Health Management and Policy, School of Public Health, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan.
University of Michigan–Ann Arbor · USUniversity of Southern California · USEmory University · USMemorial Sloan Kettering Cancer Center · USStanford University · US

Funding

XenograftP30CA046592 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI THEODORE S LAWRENCE · 1988 to 2026
$178.2M
The Challenge of Individualizing Treatments for Patients with Breast CancerP01CA163233 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI HOFER, TIMOTHY P. · 2012 to 2016
$13.4M
Genetic testing, treatment use, and mortality after diagnosis of breast and ovarian cancer: The Georgia-California GeneLINK InitiativeR01CA225697 · NCI · STANFORD UNIVERSITY · PI KATZ, STEVEN J., KURIAN, ALLISON W. · 2018 to 2021
$1.6M
NCI NIH HHS HHSN261201000015INCI NIH HHS HHSN261201000034CNCI NIH HHS HHSN261201000035CNCI NIH HHS HHSN261201000140CNCI NIH HHS P01 CA163233NCI NIH HHS P30 CA046592NCI NIH HHS R01 CA225697
6 · The paper itself

Abstract

Importance: Low-cost sequencing of multiple genes is increasingly available for cancer risk assessment. Little is known about uptake or outcomes of multiple-gene sequencing after breast cancer diagnosis in community practice. Objective: To examine the effect of multiple-gene sequencing on the experience and treatment outcomes for patients with breast cancer. Design, Setting, and Participants: For this population-based retrospective cohort study, patients with breast cancer diagnosed from January 2013 to December 2015 and accrued from SEER registries across Georgia and in Los Angeles, California, were surveyed (n = 5080, response rate = 70%). Responses were merged with SEER data and results of clinical genetic tests, either BRCA1 and BRCA2 (BRCA1/2) sequencing only or including additional other genes (multiple-gene sequencing), provided by 4 laboratories. Main Outcomes and Measures: Type of testing (multiple-gene sequencing vs BRCA1/2-only sequencing), test results (negative, variant of unknown significance, or pathogenic variant), patient experiences with testing (timing of testing, who discussed results), and treatment (strength of patient consideration of, and surgeon recommendation for, prophylactic mastectomy), and prophylactic mastectomy receipt. We defined a patient subgroup with higher pretest risk of carrying a pathogenic variant according to practice guidelines. Results: Among 5026 patients (mean [SD] age, 59.9 [10.7] years), 1316 (26.2%) were linked to genetic results from any laboratory. Multiple-gene sequencing increasingly replaced BRCA1/2-only testing over time: in 2013, the rate of multiple-gene sequencing was 25.6% and BRCA1/2-only testing, 74.4%; in 2015 the rate of multiple-gene sequencing was 66.5% and BRCA1/2-only testing, 33.5%. Multiple-gene sequencing was more often ordered by genetic counselors (multiple-gene sequencing, 25.5% and BRCA1/2-only testing, 15.3%) and delayed until after surgery (multiple-gene sequencing, 32.5% and BRCA1/2-only testing, 19.9%). Multiple-gene sequencing substantially increased rate of detection of any pathogenic variant (multiple-gene sequencing: higher-risk patients, 12%; average-risk patients, 4.2% and BRCA1/2-only testing: higher-risk patients, 7.8%; average-risk patients, 2.2%) and variants of uncertain significance, especially in minorities (multiple-gene sequencing: white patients, 23.7%; black patients, 44.5%; and Asian patients, 50.9% and BRCA1/2-only testing: white patients, 2.2%; black patients, 5.6%; and Asian patients, 0%). Multiple-gene sequencing was not associated with an increase in the rate of prophylactic mastectomy use, which was highest with pathogenic variants in BRCA1/2 (BRCA1/2, 79.0%; other pathogenic variant, 37.6%; variant of uncertain significance, 30.2%; negative, 35.3%). Conclusions and Relevance: Multiple-gene sequencing rapidly replaced BRCA1/2-only testing for patients with breast cancer in the community and enabled 2-fold higher detection of clinically relevant pathogenic variants without an associated increase in prophylactic mastectomy. However, important targets for improvement in the clinical utility of multiple-gene sequencing include postsurgical delay and racial/ethnic disparity in variants of uncertain significance.

Indexed as

Germ-Line MutationAdultAgedBiomarkers, TumorBRCA1 ProteinBRCA2 ProteinBreast NeoplasmsDNA Mutational AnalysisFemaleFollow-Up StudiesGenetic TestingHumansMiddle AgedPrognosisProphylactic MastectomyRetrospective StudiesBiomarkers, TumorBRCA1 ProteinBRCA1 protein, humanBRCA2 ProteinBRCA2 protein, human

Identifiers

PMID29801090
PMCPMC6143044
OpenAlexW2802287528

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.