Evidence map›Paper›PMID 21404118›Full record

ArticleFamilial cancer2011

A novel de novo BRCA1 mutation in a Chinese woman with early onset breast cancer.

Ava Kwong, Enders K O Ng, Edmund Y H Tang, Chris L P Wong, Fian B F Law, Candy P H Leung, Aaron Chan, M T Cheung, M Y To, Edmond S K Ma and 2 more

Open access · hybridAbstract readCase Reports
In one paragraph

Article in Familial cancer, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.0field-weighted citation impact, top 22% 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

17 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
  2. Novel De NovoInternational journal of molecular sciences · 2025
    Article
  3. Article
  4. Article
  5. A New de novoThe application of clinical genetics · 2023
    Article
  6. Article
  7. A NovelBreast cancer : basic and clinical research · 2020
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. The importance of BRCA1 and BRCA2 genes mutations in breast cancer development.Medical journal of the Islamic Republic of Iran · 2016
    Review
  14. Article
  15. Review
  16. Article
  17. Article
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

12 authors at 6 institutions in 3 countries.

Ava KwongDivision of Breast Surgery, Queen Mary and Tung Wah Hospital, The University of Hong Kong, Pokfulam, Hong Kong. akwong@asiabreastregistry.com
Enders K O Ng
Edmund Y H Tang
Chris L P Wong
Fian B F Law
Candy P H Leung
Aaron Chan
M T Cheung
M Y To
Edmond S K Ma
Dee W West
James M Ford
Hong Kong Sanatorium and Hospital · HKTung Wah Hospital · CNUniversity of Hong Kong · HKCancer Prevention Institute of California · USQueen Mary Hospital · CNStanford University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Germline mutations in the two breast cancer susceptibility genes, BRCA1 and BRCA2 account for a significant portion of hereditary breast/ovarian cancer. De novo mutations such as multiple exon deletion are rarely occurred in BRCA1 and BRCA2. During our mutation screening for BRCA1/2 genes to Chinese women with risk factors for hereditary breast/ovarian cancer, we identified a novel germline mutation, consisting of a deletion from exons 1 to 12 in BRCA1 gene, in a patient diagnosed with early onset triple negative breast cancer with no family history of cancer. None of her parents carried the mutation and molecular analysis showed that this novel de novo germline mutation resulted in down-regulation of BRCA1 gene expression.

Indexed as

Genes, BRCA1MutationAdultBreast NeoplasmsChinaFemaleGenes, BRCA2Humans

Identifiers

PMID21404118
PMCPMC3100488
OpenAlexW2070739285

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.