Evidence map›Paper›PMID 22460208›Full record

ArticleJournal of community genetics2010

Breast and ovarian cancer risk evaluation in families with a disease-causing mutation in BRCA1/2.

Elena Beristain, Berta Ibáñez, Itziar Vergara, Cristina Martínez-Bouzas, Isabel Guerra, Maria Isabel Tejada

Open access · bronzeAbstract read
In one paragraph

Article in Journal of community genetics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact, top 90% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Bias Correction Methods Explain Much of the Variation Seen in Breast Cancer Risks of BRCA1/2 Mutation Carriers.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2015
    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

6 authors at 3 institutions in 1 country.

Elena BeristainMolecular Genetics Laboratory, Biochemistry Department, Hospital de Cruces, Plaza de Cruces s/n, 48903, Barakaldo, Bizkaia, Spain, eberistain001@ikasle.ehu.es.
Berta Ibáñez
Itziar Vergara
Cristina Martínez-Bouzas
Isabel Guerra
Maria Isabel Tejada
Hospital de Cruces · ESBioef - Fundación Vasca de Innovación e Investigación Sanitarias · ESHospital Txagorritxu · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Germline mutations in BRCA1 and BRCA2 confer high risks of breast and ovarian cancer, and their identification allows genetic testing of at-risk relatives. However, estimates of these risks illustrate controversies, depending on the published series. The penetrance, the earlier onset of the disease and the effect of mutations on the risk of developing breast and ovarian cancer were evaluated in 344 females belonging to 34 families from the Basque Country in Spain, in which BRCA1 or BRCA2 mutations were transmitted. Kaplan-Meier survival curves were used to derive cumulative probability curves for breast and ovarian cancer by mutation status, birth cohort and mutation position, and significance of the differences was assessed using the log-rank test. The estimated probability for breast cancer by age 70 is about 64% in BRCA1 and 69% in BRCA2, whereas the probability of developing ovarian cancer is about 37% and 25% for BRCA1 and BRCA2, respectively. There is a marginally significant higher risk of developing ovarian cancer in BRCA1 families than in BRCA2 families. The effect of birth cohort on breast cancer cumulative incidence presents an increased risk for females born after 1966 and a decreased risk for those born before 1940. There is no association between mutation position and breast cancer; however, ovarian cancer is associated to BRCA1, presenting exon 11 as an ovarian cluster. These results are important for the breast and ovarian cancer diagnosis and prevention in at-risk families.

Identifiers

PMID22460208
PMCPMC3185985
OpenAlexW2017766075

What OpenQuestion holds

Textmetadata
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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.