Evidence map›Paper›PMID 31993860›Full record

ArticleBreast cancer research and treatment2020

High risk of breast cancer in women with biallelic pathogenic variants in CHEK2.

Irene Rainville, Shanell Hatcher, Eric Rosenthal, Katie Larson, Ryan Bernhisel, Stephanie Meek, Heidi Gorringe, Erin Mundt, Susan Manley

Open access · hybridAbstract read
In one paragraph

Article in Breast cancer research and treatment, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
6.3field-weighted citation impact, top 3% 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

29 citing papers in PubMed, 1 synthesis or guideline pooled it, 50 citations in OpenAlex.

  1. Guideline
  2. Breast-Ovarian Hereditary Cancer Syndrome: BeyondCurrent oncology (Toronto, Ont.) · 2026
    Review
  3. Skin cancer risk in hereditary mixed cancer syndromes.Hereditary cancer in clinical practice · 2025
    Review
  4. Article
  5. Moderate-Low Risk Breast Cancer Gene Expression in a Romanian Population.International journal of molecular sciences · 2025
    Article
  6. Article
  7. Review
  8. Observational
  9. Translational breast cancer research : a journal focusing on translational research in breast cancer · 2025
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. p53 Dysregulation in Breast Cancer: Insights on Mutations in theInternational journal of molecular sciences · 2023
    Article
  16. Article
  17. Article
  18. A case report of biallelicClinical case reports · 2023
    Article
  19. Article
  20. 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

9 authors at 2 institutions in 2 countries.

Irene RainvilleMyriad Genetics, Inc., 320 Wakara Way, Salt Lake City, UT, 84108, USA. irainvil@myriad.com.ORCID http://orcid.org/0000-0001-5865-3467
Shanell HatcherMyriad Genetics, Inc., 320 Wakara Way, Salt Lake City, UT, 84108, USA.
Eric RosenthalMyriad Genetics, Inc., 320 Wakara Way, Salt Lake City, UT, 84108, USA.
Katie LarsonMyriad Genetics, Inc., 320 Wakara Way, Salt Lake City, UT, 84108, USA.
Ryan BernhiselMyriad Genetics, Inc., 320 Wakara Way, Salt Lake City, UT, 84108, USA.
Stephanie MeekMyriad Genetics, Inc., 320 Wakara Way, Salt Lake City, UT, 84108, USA.
Heidi GorringeMyriad Genetics, Inc., 320 Wakara Way, Salt Lake City, UT, 84108, USA.
Erin MundtMyriad Genetics, Inc., 320 Wakara Way, Salt Lake City, UT, 84108, USA.
Susan ManleyMyriad Genetics, Inc., 320 Wakara Way, Salt Lake City, UT, 84108, USA.
Myriad Genetics · USMyriad (Germany) · DE

Funding

Myriad Genetics Inc n/a
6 · The paper itself

Abstract

purposeCompared to breast cancer risk genes such as BRCA2, ATM, PALB2, and NBN, no defined phenotype is currently associated with biallelic pathogenic variants (PVs) in CHEK2. This study compared the prevalence of breast and other cancers in women with monoallelic and biallelic CHEK2 PVs.

methodsCHEK2 PV carriers were identified through commercial hereditary cancer panel testing (09/2013-07/2019). We compared cancer histories of 6473 monoallelic carriers to 31 biallelic carriers. Breast cancer risks were estimated using multivariate logistic regression and are reported as odds ratios (OR) with 95% confidence intervals (CI).

resultsBreast cancer frequency was higher among biallelic CHEK2 PV carriers (80.6%, 25/31) than monoallelic carriers (41.2%, 2668/6473; p < 0.0001). Biallelic carriers were more likely to be diagnosed at or before age 50 (61.3%, 19/31) and to have a second breast cancer diagnosis (22.6%, 7/31) compared to monoallelic carriers (23.9%, 1548/6473; p < 0.0001 and 8.1%, 523/6473; p = 0.0107, respectively). Proportionally more biallelic carriers also had any cancer diagnosis and > 1 primary diagnosis. Compared to women with no PVs, biallelic PV carriers had a higher risk of developing ductal invasive breast cancer (OR 8.69, 95% CI 3.69-20.47) and ductal carcinoma in situ (OR 4.98, 95% CI 2.00-12.35) than monoallelic carriers (OR 2.02, 95% CI 1.90-2.15 and OR 1.82, 95% CI 1.66-2.00, respectively).

conclusionsThese data suggest that biallelic CHEK2 PV carriers have a higher risk for breast cancer, are more likely to be diagnosed younger, and to have multiple primary breast cancers compared to monoallelic carriers. Biallelic carriers also appear to have a higher risk of cancer overall. Therefore, more aggressive management may be appropriate for women with biallelic PVs in CHEK2 compared with current recommendations for monoallelic carriers.

Indexed as

AllelesGenetic Predisposition to DiseaseGerm-Line MutationHomozygoteAdultAge FactorsBreast NeoplasmsCheckpoint Kinase 2FemaleHumansMiddle AgedPrognosisRisk FactorsCheckpoint Kinase 2CHEK2 protein, humanBiallelicBreast cancerCHEK2Germline

Identifiers

PMID31993860
PMCPMC7066089
OpenAlexW3003851857

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.