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Gene panel testing of 5589 BRCA1/2‐negative index patients with breast cancer in a routine diagnostic setting: results of the German Consortium for Hereditary Breast and Ovarian Cancer

Overview of attention for article published in Cancer Medicine, March 2018
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Title
Gene panel testing of 5589 BRCA1/2‐negative index patients with breast cancer in a routine diagnostic setting: results of the German Consortium for Hereditary Breast and Ovarian Cancer
Published in
Cancer Medicine, March 2018
DOI 10.1002/cam4.1376
Pubmed ID
Authors

Jan Hauke, Judit Horvath, Eva Groß, Andrea Gehrig, Ellen Honisch, Karl Hackmann, Gunnar Schmidt, Norbert Arnold, Ulrike Faust, Christian Sutter, Julia Hentschel, Shan Wang‐Gohrke, Mateja Smogavec, Bernhard H. F. Weber, Nana Weber‐Lassalle, Konstantin Weber‐Lassalle, Julika Borde, Corinna Ernst, Janine Altmüller, Alexander E. Volk, Holger Thiele, Verena Hübbel, Peter Nürnberg, Katharina Keupp, Beatrix Versmold, Esther Pohl, Christian Kubisch, Sabine Grill, Victoria Paul, Natalie Herold, Nadine Lichey, Kerstin Rhiem, Nina Ditsch, Christian Ruckert, Barbara Wappenschmidt, Bernd Auber, Andreas Rump, Dieter Niederacher, Thomas Haaf, Juliane Ramser, Bernd Dworniczak, Christoph Engel, Alfons Meindl, Rita K. Schmutzler, Eric Hahnen

Abstract

The prevalence of germ line mutations in non-BRCA1/2 genes associated with hereditary breast cancer (BC) is low, and the role of some of these genes in BC predisposition and pathogenesis is conflicting. In this study, 5589 consecutive BC index patients negative for pathogenic BRCA1/2 mutations and 2189 female controls were screened for germ line mutations in eight cancer predisposition genes (ATM, CDH1, CHEK2, NBN, PALB2, RAD51C, RAD51D, and TP53). All patients met the inclusion criteria of the German Consortium for Hereditary Breast and Ovarian Cancer for germ line testing. The highest mutation prevalence was observed in the CHEK2 gene (2.5%), followed by ATM (1.5%) and PALB2 (1.2%). The mutation prevalence in each of the remaining genes was 0.3% or lower. Using Exome Aggregation Consortium control data, we confirm significant associations of heterozygous germ line mutations with BC for ATM (OR: 3.63, 95%CI: 2.67-4.94), CDH1 (OR: 17.04, 95%CI: 3.54-82), CHEK2 (OR: 2.93, 95%CI: 2.29-3.75), PALB2 (OR: 9.53, 95%CI: 6.25-14.51), and TP53 (OR: 7.30, 95%CI: 1.22-43.68). NBN germ line mutations were not significantly associated with BC risk (OR:1.39, 95%CI: 0.73-2.64). Due to their low mutation prevalence, the RAD51C and RAD51D genes require further investigation. Compared with control datasets, predicted damaging rare missense variants were significantly more prevalent in CHEK2 and TP53 in BC index patients. Compared with the overall sample, only TP53 mutation carriers show a significantly younger age at first BC diagnosis. We demonstrate a significant association of deleterious variants in the CHEK2, PALB2, and TP53 genes with bilateral BC. Both, ATM and CHEK2, were negatively associated with triple-negative breast cancer (TNBC) and estrogen receptor (ER)-negative tumor phenotypes. A particularly high CHEK2 mutation prevalence (5.2%) was observed in patients with human epidermal growth factor receptor 2 (HER2)-positive tumors.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 103 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 18%
Student > Ph. D. Student 11 11%
Student > Master 9 9%
Student > Bachelor 9 9%
Other 7 7%
Other 19 18%
Unknown 29 28%
Readers by discipline Count As %
Medicine and Dentistry 26 25%
Biochemistry, Genetics and Molecular Biology 24 23%
Agricultural and Biological Sciences 10 10%
Engineering 4 4%
Computer Science 2 2%
Other 4 4%
Unknown 33 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 June 2020.
All research outputs
#14,393,794
of 25,382,440 outputs
Outputs from Cancer Medicine
#1,267
of 3,924 outputs
Outputs of similar age
#170,194
of 348,822 outputs
Outputs of similar age from Cancer Medicine
#39
of 99 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,924 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one has gotten more attention than average, scoring higher than 67% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 348,822 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 99 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 59% of its contemporaries.