Evidence map›Paper›PMID 23806170›Full record

ArticleBMC cancer2013

Constitutional CHEK2 mutations are infrequent in early-onset and familial breast/ovarian cancer patients from Pakistan.

Muhammad U Rashid, Noor Muhammad, Saima Faisal, Asim Amin, Ute Hamann

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

12 citing papers in PubMed, 25 citations in OpenAlex.

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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

5 authors at 3 institutions in 3 countries.

Muhammad U RashidShaukat Khanum Memorial Cancer Hospital and Research Centre, Lahore, Pakistan. u.hamann@dkfz-heidelberg.de
Noor Muhammad
Saima Faisal
Asim Amin
Ute Hamann
Shaukat Khanum Memorial Cancer Hospital and Research Center · PKCarolinas Medical Center · USDKFZ-ZMBH Alliance · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLess than 20% of Pakistani women with early-onset or familial breast/ovarian cancer harbor germ line mutations in the high-penetrance genes BRCA1, BRCA2 and TP53. Thus, mutations in other genes confer genetic susceptibility to breast cancer, of which CHEK2 is a plausible candidate. CHEK2 encodes a checkpoint kinase, involved in response to DNA damage.

methodsIn the present study we assessed the prevalence of CHEK2 germ line mutations in 145 BRCA1/2-negative early-onset and familial breast/ovarian cancer patients from Pakistan (Group 1). Mutation analysis of the complete CHEK2 coding region was performed using denaturing high-performance liquid chromatography analysis, followed by DNA sequencing of variant fragments.

resultsTwo potentially deleterious missense mutations, c.275C>G (p.P92R) and c.1216C>T, (p.R406C), were identified (1.4%). The c.275C>G mutation is novel and has not been described in other populations. It was detected in a 30-year-old breast cancer patient with a family history of breast and multiple other cancers. The c.1216C>T mutation was found in a 34-year-old ovarian cancer patient from a family with two breast cancer cases. Both mutations were not detected in 229 recently recruited BRCA1/2-negative high risk patients (Group 2).

conclusionOur findings suggest that CHEK2 mutations may not contribute significantly to breast/ovarian cancer risk in Pakistani women.

Indexed as

AdultAgedBreast NeoplasmsBreast Neoplasms, MaleCheckpoint Kinase 2DNA Mutational AnalysisFemaleGerm-Line MutationHumansMaleMiddle AgedMutation, MissenseOvarian NeoplasmsPakistanYoung AdultCheckpoint Kinase 2

Identifiers

PMID23806170
PMCPMC3699428
OpenAlexW2004338948

What OpenQuestion holds

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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.