Literature DB >> 21213370

Germline copy number variations in BRCA1-associated ovarian cancer patients.

Kosuke Yoshihara1, Atsushi Tajima, Sosuke Adachi, Jinhua Quan, Masayuki Sekine, Hiroaki Kase, Tetsuro Yahata, Ituro Inoue, Kenichi Tanaka.   

Abstract

We investigated characteristics of germline copy number variations (CNV) in BRCA1-associated ovarian cancer patients by comparing them to CNVs present in sporadic ovarian cancer patients. Germline CNVs in 51 BRCA1-associated, 33 sporadic ovarian cancer patients, and 47 healthy women were analyzed by both signal intensity and genotyping data using the Affymetrix Genome-Wide Human SNP Array 6.0. The total number of CNVs per genome was greater in the sporadic group (median 26, range 12-34) than in the BRCA1 group (median 21, range 11-35; post hoc P < 0.05) or normal group (median 20, range 7-32; post hoc P < 0.05). While the number of amplifications per genome was higher in the sporadic group (median 13, range 7-26) than in the BRCA1 group (median 8, range 3-23; post hoc P < 0.001), the number of deletions per genome was higher in the BRCA1 group (median 12, range 6-24) than in the sporadic group (median 9, range 3-17; post hoc P < 0.01). In addition, 31 previously unknown CNV regions were present specifically in the BRCA1 group. When we performed pathway analysis on the 241 overlapping genes mapped to these novel CNV regions, the 'purine metabolism' and '14-3-3-mediated signaling' pathways were over-represented (Fisher's exact test, P < 0.01). Our study shows that there are qualitative differences in genomic CNV profiles between BRCA1-associated and sporadic ovarian cancer patients. Further studies are necessary to clarify the significance of the genomic CNV profile unique to BRCA1-associated ovarian cancer patients. 2010 Wiley-Liss, Inc.

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Year:  2010        PMID: 21213370     DOI: 10.1002/gcc.20841

Source DB:  PubMed          Journal:  Genes Chromosomes Cancer        ISSN: 1045-2257            Impact factor:   5.006


  21 in total

1.  Identification of germline genomic copy number variation in familial pancreatic cancer.

Authors:  Wigdan Al-Sukhni; Sarah Joe; Anath C Lionel; Nora Zwingerman; George Zogopoulos; Christian R Marshall; Ayelet Borgida; Spring Holter; Aaron Gropper; Sara Moore; Melissa Bondy; Alison P Klein; Gloria M Petersen; Kari G Rabe; Ann G Schwartz; Sapna Syngal; Stephen W Scherer; Steven Gallinger
Journal:  Hum Genet       Date:  2012-06-05       Impact factor: 4.132

Review 2.  Integrative Analysis of CD133 mRNA in Human Cancers Based on Data Mining.

Authors:  Gui-Min Wen; Fei-Fei Mou; Wei Hou; Dan Wang; Pu Xia
Journal:  Stem Cell Rev Rep       Date:  2019-02       Impact factor: 5.739

3.  Genome-wide Analysis of Common Copy Number Variation and Epithelial Ovarian Cancer Risk.

Authors:  Brett M Reid; Jennifer B Permuth; Y Ann Chen; Brooke L Fridley; Edwin S Iversen; Zhihua Chen; Heather Jim; Robert A Vierkant; Julie M Cunningham; Jill S Barnholtz-Sloan; Steven Narod; Harvey Risch; Joellen M Schildkraut; Ellen L Goode; Alvaro N Monteiro; Thomas A Sellers
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2019-04-04       Impact factor: 4.254

4.  DNA copy number profiling in microsatellite-stable and microsatellite-unstable hereditary non-polyposis colorectal cancers by targeted CNV array.

Authors:  Weixiang Chen; Jun Ding; Long Jiang; Zebing Liu; Xiaoyan Zhou; Daren Shi
Journal:  Funct Integr Genomics       Date:  2016-11-28       Impact factor: 3.410

5.  Germline DNA copy number variations as potential prognostic markers for non-muscle invasive bladder cancer progression.

Authors:  Yoshiaki Yamamoto; Yutaka Suehiro; Atomu Suzuki; Ryosuke Nawata; Yoshihisa Kawai; Ryo Inoue; Hiroshi Hirata; Hiroaki Matsumoto; Takahiro Yamasaki; Kohsuke Sasaki; Hideyasu Matsuyama
Journal:  Oncol Lett       Date:  2017-05-24       Impact factor: 2.967

6.  Copy number analysis of whole-genome data using BIC-seq2 and its application to detection of cancer susceptibility variants.

Authors:  Ruibin Xi; Semin Lee; Yuchao Xia; Tae-Min Kim; Peter J Park
Journal:  Nucleic Acids Res       Date:  2016-06-03       Impact factor: 16.971

7.  Identification of large-scale genomic variation in cancer genomes using in silico reference models.

Authors:  Sarah Killcoyne; Antonio Del Sol
Journal:  Nucleic Acids Res       Date:  2015-08-11       Impact factor: 16.971

8.  Rare germline copy number deletions of likely functional importance are implicated in endometrial cancer predisposition.

Authors:  Gemma L Moir-Meyer; John F Pearson; Felicity Lose; Rodney J Scott; Mark McEvoy; John Attia; Elizabeth G Holliday; Paul D Pharoah; Alison M Dunning; Deborah J Thompson; Douglas F Easton; Amanda B Spurdle; Logan C Walker
Journal:  Hum Genet       Date:  2014-11-09       Impact factor: 4.132

9.  Germline DNA copy number variation in familial and early-onset breast cancer.

Authors:  Ana Cv Krepischi; Maria Isabel W Achatz; Erika Mm Santos; Silvia S Costa; Bianca Cg Lisboa; Helena Brentani; Tiago M Santos; Amanda Gonçalves; Amanda F Nóbrega; Peter L Pearson; Angela M Vianna-Morgante; Dirce M Carraro; Ricardo R Brentani; Carla Rosenberg
Journal:  Breast Cancer Res       Date:  2012-02-07       Impact factor: 6.466

10.  Germline copy number variations associated with breast cancer susceptibility in a Japanese population.

Authors:  Yutaka Suehiro; Takae Okada; Naoya Shikamoto; Yibo Zhan; Kohei Sakai; Naoko Okayama; Mitsuaki Nishioka; Tomoko Furuya; Atsunori Oga; Shigeto Kawauchi; Noriko Maeda; Michiko Tamesa; Yukiko Nagashima; Shigeru Yamamoto; Masaaki Oka; Yuji Hinoda; Kohsuke Sasaki
Journal:  Tumour Biol       Date:  2012-12-30
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