Literature DB >> 28802053

Gene-panel testing of breast and ovarian cancer patients identifies a recurrent RAD51C duplication.

L M Pelttari1, H Shimelis2, H Toiminen3, A Kvist4, T Törngren4, Å Borg4, C Blomqvist5, R Bützow1,6, F Couch2, K Aittomäki3, H Nevanlinna1.   

Abstract

Gene-panel sequencing allows comprehensive analysis of multiple genes simultaneously and is now routinely used in clinical mutation testing of high-risk breast and ovarian cancer patients. However, only BRCA1 and BRCA2 are often analyzed also for large genomic changes. Here, we have analyzed 10 clinically relevant susceptibility genes in 95 breast or ovarian cancer patients with gene-panel sequencing including also copy number variants (CNV) analysis for genomic changes. We identified 12 different pathogenic BRCA1, BRCA2, TP53, PTEN, CHEK2, or RAD51C mutations in 18 of 95 patients (19%). BRCA1/2 mutations were observed in 8 patients (8.4%) and CHEK2 protein-truncating mutations in 7 patients (7.4%). In addition, we identified a novel duplication encompassing most of the RAD51C gene. We further genotyped the duplication in breast or ovarian cancer families (n = 1149), in unselected breast (n = 1729) and ovarian cancer cohorts (n = 553), and in population controls (n = 1273). Seven additional duplication carries were observed among cases but none among controls. The duplication associated with ovarian cancer risk (3/590 of all ovarian cancer patients, 0.5%, P = .032 compared with controls) and was found to represent a large fraction of all identified RAD51C mutations in the Finnish population. Our data emphasizes the importance of comprehensive mutation analysis including CNV detection in all the relevant genes.
© 2017 The Authors. Clinical Genetics published by John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  zzm321990RAD51C; breast cancer; gene-panel; ovarian cancer

Mesh:

Substances:

Year:  2018        PMID: 28802053     DOI: 10.1111/cge.13123

Source DB:  PubMed          Journal:  Clin Genet        ISSN: 0009-9163            Impact factor:   4.438


  5 in total

1.  The correlation of copy number variations with longevity in a genome-wide association study of Han Chinese.

Authors:  Xin Zhao; Xiaomin Liu; Aiping Zhang; Huashuai Chen; Qing Huo; Weiyang Li; Rui Ye; Zhihua Chen; Liping Liang; Qiong A Liu; Juan Shen; Xin Jin; Wenwen Li; Marianne Nygaard; Xiao Liu; Yong Hou; Ting Ni; Lars Bolund; William Gottschalk; Wei Tao; Jun Gu; Xiao-Li Tian; Huanming Yang; Jian Wang; Xun Xu; Michael W Lutz; Junxia Min; Yi Zeng; Chao Nie
Journal:  Aging (Albany NY)       Date:  2018-06-05       Impact factor: 5.682

2.  BRIP1, RAD51C, and RAD51D mutations are associated with high susceptibility to ovarian cancer: mutation prevalence and precise risk estimates based on a pooled analysis of ~30,000 cases.

Authors:  Malwina Suszynska; Magdalena Ratajska; Piotr Kozlowski
Journal:  J Ovarian Res       Date:  2020-05-02       Impact factor: 4.234

3.  Prevalence of specific and recurrent/founder pathogenic variants in BRCA genes in breast and ovarian cancer in North Africa.

Authors:  Oubaida ElBiad; Abdelilah Laraqui; Fatima El Boukhrissi; Chaimaa Mounjid; Maryame Lamsisi; Tahar Bajjou; Hicham Elannaz; Amine Idriss Lahlou; Jaouad Kouach; Khadija Benchekroune; Mohammed Oukabli; Hafsa Chahdi; Moulay Mustapha Ennaji; Rachid Tanz; Yassir Sbitti; Mohammed Ichou; Khalid Ennibi; Bouabid Badaoui; Yassine Sekhsokh
Journal:  BMC Cancer       Date:  2022-02-25       Impact factor: 4.430

4.  A dominant RAD51C pathogenic splicing variant predisposes to breast and ovarian cancer in the Newfoundland population due to founder effect.

Authors:  Lesa M Dawson; Kerri N Smith; Salem Werdyani; Robyn Ndikumana; Cindy Penney; Louisa L Wiede; Kendra L Smith; Justin A Pater; Andrée MacMillan; Jane Green; Sheila Drover; Terry-Lynn Young; Darren D O'Rielly
Journal:  Mol Genet Genomic Med       Date:  2019-11-28       Impact factor: 2.183

5.  Short somatic alterations at the site of copy number variation in breast cancer.

Authors:  Fumi Murakami; Yumi Tsuboi; Yuka Takahashi; Yoshiya Horimoto; Kaoru Mogushi; Takeshi Ito; Mitsuru Emi; Daisuke Matsubara; Tatsuhiro Shibata; Mitsue Saito; Yoshinori Murakami
Journal:  Cancer Sci       Date:  2020-12-11       Impact factor: 6.518

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.