Evidence map›Paper›PMID 26553136›Full record

ArticleBMC cancer2015

Genomic profiling of CHEK2*1100delC-mutated breast carcinomas.

Maarten P G Massink, Irsan E Kooi, John W M Martens, Quinten Waisfisz, Hanne Meijers-Heijboer

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 2 pooled it
4.0field-weighted citation impact, top 6% 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

33 citing papers in PubMed, 2 syntheses or guidelines pooled it, 76 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 2 institutions in 1 country.

Maarten P G MassinkDepartment of Clinical Genetics, VU University Medical Center, Amsterdam, The Netherlands. m.massink@vumc.nl.
Irsan E KooiDepartment of Clinical Genetics, VU University Medical Center, Amsterdam, The Netherlands. ei.kooi@vumc.nl.
John W M MartensDepartment of Medical Oncology, Erasmus MC Cancer Institute, Cancer Genomics Netherlands, Erasmus University Medical Center, Rotterdam, The Netherlands. j.martens@erasmusmc.nl.
Quinten WaisfiszDepartment of Clinical Genetics, VU University Medical Center, Amsterdam, The Netherlands. q.waisfisz@vumc.nl.
Hanne Meijers-HeijboerDepartment of Clinical Genetics, VU University Medical Center, Amsterdam, The Netherlands. h.meijers-heijboer@vumc.nl.
Amsterdam UMC Location VUmc · NLErasmus MC · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCHEK2*1100delC is a moderate-risk breast cancer susceptibility allele with a high prevalence in the Netherlands. We performed copy number and gene expression profiling to investigate whether CHEK2*1100delC breast cancers harbor characteristic genomic aberrations, as seen for BRCA1 mutated breast cancers.

methodsWe performed high-resolution SNP array and gene expression profiling of 120 familial breast carcinomas selected from a larger cohort of 155 familial breast tumors, including BRCA1, BRCA2, and CHEK2 mutant tumors. Gene expression analyses based on a mRNA immune signature was used to identify samples with relative low amounts of tumor infiltrating lymphocytes (TILs), which were previously found to disturb tumor copy number and LOH (loss of heterozygosity) profiling. We specifically compared the genomic and gene expression profiles of CHEK2*1100delC breast cancers (n = 14) with BRCAX (familial non-BRCA1/BRCA2/CHEK2*1100delC mutated) breast cancers (n = 34) of the luminal intrinsic subtypes for which both SNP-array and gene expression data is available.

resultsHigh amounts of TILs were found in a relatively small number of luminal breast cancers as compared to breast cancers of the basal-like subtype. As expected, these samples mostly have very few copy number aberrations and no detectable regions of LOH. By unsupervised hierarchical clustering of copy number data we observed a great degree of heterogeneity amongst the CHEK2*1100delC breast cancers, comparable to the BRCAX breast cancers. Furthermore, copy number aberrations were mostly seen at low frequencies in both the CHEK2*1100delC and BRCAX group of breast cancers. However, supervised class comparison identified copy number loss of chromosomal arm 1p to be associated with CHEK2*1100delC status.

conclusionsIn conclusion, in contrast to basal-like BRCA1 mutated breast cancers, no apparent specific somatic copy number aberration (CNA) profile for CHEK2*1100delC breast cancers was found. With the possible exception of copy number loss of chromosomal arm 1p in a subset of tumors, which might be involved in CHEK2 tumorigenesis. This difference in CNAs profiles might be explained by the need for BRCA1-deficient tumor cells to acquire survival factors, by for example specific copy number aberrations, to expand. Such factors may not be needed for breast tumors with a defect in a non-essential gene such as CHEK2.

Indexed as

Genetic Predisposition to DiseaseAgedBRCA1 ProteinBRCA2 ProteinBreast NeoplasmsCheckpoint Kinase 2DNA Copy Number VariationsFemaleGenomicsHumansLoss of HeterozygosityMiddle AgedNetherlandsSequence DeletionBRCA1 ProteinBRCA2 ProteinBRCA2 protein, humanCheckpoint Kinase 2CHEK2 protein, human

Identifiers

PMID26553136
PMCPMC4640207
OpenAlexW2164684148

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LicenceCC BY
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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.