Evidence map›Paper›PMID 10682662›Full record

ArticleBritish journal of cancer2000

The prevalence of BRCA1 mutations in Chinese patients with early onset breast cancer and affected relatives.

J H Sng, J Chang, F Feroze, N Rahman, W Tan, S Lim, M Lehnert, S van der Pool, J Wong

Abstract read
In one paragraph

Article in British journal of cancer, 2000. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
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

16 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Central Asian journal of global health · 2013
    Article
  6. Article
  7. Article
  8. Article
  9. Article
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  11. Contribution of BRCA1 germline mutation in patients with sporadic breast cancer.International seminars in surgical oncology : ISSO · 2008
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. A novel frequent BRCA1 allele in Chinese patients with breast cancer.Journal of Huazhong University of Science and Technology. Medical sciences = Hua zhong ke ji da xue xue bao. Yi xue Ying De wen ban = Huazhong keji daxue xuebao. Yixue Yingdewen ban · 2006
    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

9 authors.

J H SngOncology Research Institute (National University Medical Institutes) and Department of Medical Oncology, National University of Singapore, Singapore.
J Chang
F Feroze
N Rahman
W Tan
S Lim
M Lehnert
S van der Pool
J Wong

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of this study was to determine the prevalence of BRCA1 mutations in Chinese breast cancer patients in Singapore. BRCA1 analysis was conducted in consecutive patients with breast cancer before the age of 40 years (76 women), or whose relatives had breast or ovarian cancer (16 women). Ten patients had both early onset breast cancer and affected relatives. Genomic DNA from peripheral mononuclear blood cells was studied by using the protein transcription-translation assay (exon 11) and single-strand conformational polymorphism, with subsequent DNA sequencing. All six disease-causing mutations occurred in women under 40 years (8.6%) with three occurring in patients under 35 years (three out of 22 patients, 13.6%). Mis-sense mutations of unknown significance were found in three patients. Two of the ten women with affected relatives under 40 years had BRCA1 mutations. The prevalence of BRCA1 mutations in Chinese patients with early onset breast cancer is similar to that observed in Caucasian women. Most Chinese patients with affected relatives were not carriers of BRCA1 mutations.

Indexed as

Mutation, MissenseAdultBRCA1 ProteinBreast NeoplasmsChinaFemaleGenetic Predisposition to DiseaseHumansMiddle AgedPolymorphism, Single NucleotideBRCA1 Protein

Identifiers

PMID10682662
PMCPMC2363338

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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.