Evidence map›Paper›PMID 30128536›Full record

ArticleJAMA oncology2019

Association of Breast and Ovarian Cancers With Predisposition Genes Identified by Large-Scale Sequencing.

Hsiao-Mei Lu, Shuwei Li, Mary Helen Black, Shela Lee, Robert Hoiness, Sitao Wu, Wenbo Mu, Robert Huether, Jefferey Chen, Srijani Sridhar and 7 more

Erratum issuedAbstract readMulticenter Study
In one paragraph

Article in JAMA oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 101 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
101citing papers in PubMed, 4 pooled it
18.1field-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

101 citing papers in PubMed, 4 syntheses or guidelines pooled it, 176 citations in OpenAlex.

  1. Guideline
  2. Guideline
  3. A Systematic Literature Review of Whole Exome and Genome Sequencing Population Studies of Genetic Susceptibility to Cancer.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2020
    Pooled it
  4. Summary ofGenes · 2020
    Pooled it
  5. Review
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Breast cancer and ATM mutations: treatment implications.Hereditary cancer in clinical practice · 2024
    Review
  14. Article
  15. Functions and mechanisms of RNA mInternational journal of oncology · 2024
    Review
  16. Article
  17. Review
  18. Article
  19. Article
  20. Review

41 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors at 1 institution in 2 countries.

Hsiao-Mei LuAmbry Genetics, Aliso Viejo, California.
Shuwei LiAmbry Genetics, Aliso Viejo, California.
Mary Helen BlackAmbry Genetics, Aliso Viejo, California.
Shela LeeAmbry Genetics, Aliso Viejo, California.
Robert HoinessAmbry Genetics, Aliso Viejo, California.
Sitao WuAmbry Genetics, Aliso Viejo, California.
Wenbo MuAmbry Genetics, Aliso Viejo, California.
Robert HuetherAmbry Genetics, Aliso Viejo, California.
Jefferey ChenAmbry Genetics, Aliso Viejo, California.
Srijani SridharAmbry Genetics, Aliso Viejo, California.
Yuan TianAmbry Genetics, Aliso Viejo, California.
Rachel McFarlandAmbry Genetics, Aliso Viejo, California.
Jill DolinskyAmbry Genetics, Aliso Viejo, California.
Brigette Tippin DavisAmbry Genetics, Aliso Viejo, California.
Sharon MexalAmbry Genetics, Aliso Viejo, California.
Charles DunlopAmbry Genetics, Aliso Viejo, California.
Aaron ElliottAmbry Genetics, Aliso Viejo, California.
Ambry Genetics (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Since the discovery of BRCA1 and BRCA2, multiple high- and moderate-penetrance genes have been reported as risk factors for hereditary breast cancer, ovarian cancer, or both; however, it is unclear whether these findings represent the complete genetic landscape of these cancers. Systematic investigation of the genetic contributions to breast and ovarian cancers is needed to confirm these findings and explore potentially new associations. Objective: To confirm reported and identify additional predisposition genes for breast or ovarian cancer. Design, Setting, and Participants: In this sample of 11 416 patients with clinical features of breast cancer, ovarian cancer, or both who were referred for genetic testing from 1200 hospitals and clinics across the United States and of 3988 controls who were referred for genetic testing for noncancer conditions between 2014 and 2015, whole-exome sequencing was conducted and gene-phenotype associations were examined. Case-control analyses using the Genome Aggregation Database as a set of reference controls were also conducted. Main Outcomes and Measures: Breast cancer risk associated with pathogenic variants among 625 cancer predisposition genes; association of identified predisposition breast or ovarian cancer genes with the breast cancer subtypes invasive ductal, invasive lobular, hormone receptor-positive, hormone receptor-negative, and male, and with early-onset disease. Results: Of 9639 patients with breast cancer, 3960 (41.1%) were early-onset cases (≤45 years at diagnosis) and 123 (1.3%) were male, with men having an older age at diagnosis than women (mean [SD] age, 61.8 [12.8] vs 48.6 [11.4] years). Of 2051 women with ovarian cancer, 445 (21.7%) received a diagnosis at 45 years or younger. Enrichment of pathogenic variants were identified in 4 non-BRCA genes associated with breast cancer risk: ATM (odds ratio [OR], 2.97; 95% CI, 1.67-5.68), CHEK2 (OR, 2.19; 95% CI, 1.40-3.56), PALB2 (OR, 5.53; 95% CI, 2.24-17.65), and MSH6 (OR, 2.59; 95% CI, 1.35-5.44). Increased risk for ovarian cancer was associated with 4 genes: MSH6 (OR, 4.16; 95% CI, 1.95-9.47), RAD51C (OR, not estimable; false-discovery rate-corrected P = .004), TP53 (OR, 18.50; 95% CI, 2.56-808.10), and ATM (OR, 2.85; 95% CI, 1.30-6.32). Neither the MRN complex genes nor CDKN2A was associated with increased breast or ovarian cancer risk. The findings also do not support previously reported breast cancer associations with the ovarian cancer susceptibility genes BRIP1, RAD51C, and RAD51D, or mismatch repair genes MSH2 and PMS2. Conclusions and Relevance: The results of this large-scale exome sequencing of patients and controls shed light on both well-established and controversial non-BRCA predisposition gene associations with breast or ovarian cancer reported to date and may implicate additional breast or ovarian cancer susceptibility gene candidates involved in DNA repair and genomic maintenance.

Indexed as

Exome SequencingAdultAgedBiomarkers, TumorBreast NeoplasmsBreast Neoplasms, MaleCase-Control StudiesFemaleGenetic Association StudiesGenetic Predisposition to DiseaseHumansMaleMiddle AgedOvarian NeoplasmsPhenotypeRisk AssessmentBiomarkers, Tumor

Identifiers

PMID30128536
PMCPMC6439764
OpenAlexW2886678486

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.