Evidence map›Paper›PMID 34373918›Full record

ArticleJournal of the National Cancer Institute2022

Association of Genetic Testing Results With Mortality Among Women With Breast Cancer or Ovarian Cancer.

Allison W Kurian, Paul Abrahamse, Irina Bondarenko, Ann S Hamilton, Dennis Deapen, Scarlett L Gomez, Monica Morrow, Jonathan S Berek, Timothy P Hofer, Steven J Katz and 1 more

Open access · greenAbstract read
In one paragraph

Article in Journal of the National Cancer Institute, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 16% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Guideline
  2. A Multistate Survival Model to Identify Risk Factors for Lethal Ovarian Cancer.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Observational
  8. Article
  9. Breast, Colorectal, and Pancreatic Cancer Mortality With Pathogenic Variants inJournal of clinical oncology : official journal of the American Society of Clinical Oncology · 2025
    Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. 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

11 authors at 7 institutions in 1 country.

Allison W KurianDepartments of Medicine and of Epidemiology & Population Health, Stanford University, Stanford, CA, USA.ORCID 0000-0002-6175-9470
Paul AbrahamseDepartment of Health Management and Policy, School of Public Health, Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA.
Irina BondarenkoDepartment of Health Management and Policy, School of Public Health, Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA.ORCID 0000-0002-5365-5399
Ann S HamiltonDepartment of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.ORCID 0000-0001-5898-2308
Dennis DeapenDepartment of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.ORCID 0000-0002-0037-0277
Scarlett L GomezDepartment of Epidemiology & Biostatistics and Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA.
Monica MorrowDepartment of Surgery, Memorial Sloan-Kettering Cancer Center, New York City, NY, USA.
Jonathan S BerekDivision of Gynecologic Oncology, Department of Obstetrics and Gynecology, Stanford Women's Cancer Center, Stanford University, Stanford, CA, USA.
Timothy P HoferDepartment of Internal Medicine, University of Michigan and Center for Clinical Management Research, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, MI, USA.ORCID 0000-0003-0434-8787
Steven J KatzDepartment of Health Management and Policy, School of Public Health, Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA.ORCID 0000-0002-1151-861X
Kevin C WardDepartment of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA.
University of Michigan · USUniversity of Southern California · USEmory University · USMemorial Sloan Kettering Cancer Center · USStanford Medicine · USStanford University · USUniversity of California, San Francisco · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
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 HHSN261201800003CNCI NIH HHS P01 CA163233NCI NIH HHS P30 CA008748NCI NIH HHS P30 CA046592NCI NIH HHS R01 CA225697
6 · The paper itself

Abstract

backgroundBreast cancer and ovarian cancer patients increasingly undergo germline genetic testing. However, little is known about cancer-specific mortality among carriers of a pathogenic variant (PV) in BRCA1/2 or other genes in a population-based setting.

methodsGeorgia and California Surveillance Epidemiology and End Results (SEER) registry records were linked to clinical genetic testing results. Women were included who had stages I-IV breast cancer or ovarian cancer diagnosed in 2013-2017, received chemotherapy, and were linked to genetic testing results. Multivariable Cox proportional hazard models were used to examine the association of genetic results with cancer-specific mortality.

results22 495 breast cancer and 4320 ovarian cancer patients were analyzed, with a median follow-up of 41 months. PVs were present in 12.7% of breast cancer patients with estrogen and/or progesterone receptor-positive, HER2-negative cancer, 9.8% with HER2-positive cancer, 16.8% with triple-negative breast cancer, and 17.2% with ovarian cancer. Among triple-negative breast cancer patients, cancer-specific mortality was lower with BRCA1 (hazard ratio [HR] = 0.49, 95% confidence interval [CI] = 0.35 to 0.69) and BRCA2 PVs (HR = 0.60, 95% CI = 0.41 to 0.89), and equivalent with PVs in other genes (HR = 0.65, 95% CI = 0.37 to 1.13), vs noncarriers. Among ovarian cancer patients, cancer-specific mortality was lower with PVs in BRCA2 (HR = 0.35, 95% CI = 0.25 to 0.49) and genes other than BRCA1/2 (HR = 0.47, 95% CI = 0.32 to 0.69). No PV was associated with higher cancer-specific mortality.

conclusionsAmong breast cancer and ovarian cancer patients treated with chemotherapy in the community, BRCA1/2 and other gene PV carriers had equivalent or lower short-term cancer-specific mortality than noncarriers. These results may reassure newly diagnosed patients, and longer follow-up is ongoing.

Indexed as

Breast NeoplasmsOvarian NeoplasmsTriple Negative Breast NeoplasmsFemaleGenes, BRCA1Genes, BRCA2Genetic Predisposition to DiseaseGenetic TestingGerm-Line MutationHumans

Identifiers

PMID34373918
PMCPMC8826508
OpenAlexW3187221127

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.