Literature DB >> 15571795

Identification of DNA copy number changes in microdissected serous ovarian cancer tissue using a cDNA microarray platform.

Hiroshi Tsuda1, Michael J Birrer, Yoichi M Ito, Yasuo Ohashi, Ming Lin, Cheng Lee, Wing H Wong, Pulivarthi H Rao, Ching C Lau, Ross S Berkowitz, Kwong-Kwok Wong, Samuel C Mok.   

Abstract

We have established a method for using a cDNA array platform in combination with degenerate oligonucleotide primer polymerase chain reaction (DOP-PCR) and taramide signal amplification (TSA) to identify DNA copy number abnormalities (CNA) in cancer cell lines and cancer cells procured with laser-based microdissection. To determine the sensitivity and specificity for detecting single-copy gain and loss, receiver-operator curve analysis was performed on hybridization signal ratios generated from non-DOP and DOP amplified female and male DNA using a 10,816-element cDNA microarray. A cutoff value of 1.12 and 1.07 average signal ratio for X-chromosomal genes versus autosomal genes provided a sensitivity and specificity of 50 and 79%, respectively, for non-DOP amplified DNA and a sensitivity and specificity of 50 and 72%, respectively, for DOP amplified DNA. We used this approach to identify DNA copy number abnormalities in the ovarian cancer cell line OVCA633, which has previously been shown to have 12p amplification. Transcription profiling of OVCA633 was also performed. Two amplified and overexpressed genes located on 12p11, KRAS2 and LRMP, were identified; these were validated with quantitative real-time PCR. Subsequently, the same approach was used to identify CNAs and gene expression alterations in 11 microdissected serous ovarian adenocarcinoma cases. Validated data revealed amplification and overexpression of ERBB3 and FOS and deletion and underexpression of KRT6 and APXL in more than 50% of the tissue samples. These results show the feasibility of using the cDNA array platform to identify changes in DNA and mRNA copy number simultaneously in microdissected tumor tissues.

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Year:  2004        PMID: 15571795     DOI: 10.1016/j.cancergencyto.2004.03.002

Source DB:  PubMed          Journal:  Cancer Genet Cytogenet        ISSN: 0165-4608


  10 in total

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Authors:  Joseph Kwong; Ji-Young Lee; Kwong-Kwok Wong; Xiaofeng Zhou; David T W Wong; Kwok-Wai Lo; William R Welch; Ross S Berkowitz; Samuel C Mok
Journal:  Neoplasia       Date:  2006-04       Impact factor: 5.715

2.  Effects of silibinin on growth and invasive properties of human ovarian carcinoma cells through suppression of heregulin/HER3 pathway.

Authors:  Majid Momeny; Reza Ghasemi; Giovanni Valenti; Mariska Miranda; Ali Zekri; Ghazaleh Zarrinrad; Sepehr Javadikooshesh; Marjan Yaghmaie; Kamran Alimoghaddam; Ardeshir Ghavamzadeh; Seyed H Ghaffari
Journal:  Tumour Biol       Date:  2015-10-19

3.  A novel class of interstitial cells in the mouse and monkey female reproductive tracts.

Authors:  Lauren E Peri; Byoung H Koh; Grace K Ward; Yulia Bayguinov; Sung Jin Hwang; Thomas W Gould; Catrina J Mullan; Kenton M Sanders; Sean M Ward
Journal:  Biol Reprod       Date:  2015-03-18       Impact factor: 4.285

4.  An activated ErbB3/NRG1 autocrine loop supports in vivo proliferation in ovarian cancer cells.

Authors:  Qing Sheng; Xinggang Liu; Eleanor Fleming; Karen Yuan; Huiying Piao; Jinyun Chen; Zeinab Moustafa; Roman K Thomas; Heidi Greulich; Anna Schinzel; Sara Zaghlul; David Batt; Seth Ettenberg; Matthew Meyerson; Birgit Schoeberl; Andrew L Kung; William C Hahn; Ronny Drapkin; David M Livingston; Joyce F Liu
Journal:  Cancer Cell       Date:  2010-03-16       Impact factor: 31.743

5.  Analysis of DNA copy number alterations in ovarian serous tumors identifies new molecular genetic changes in low-grade and high-grade carcinomas.

Authors:  Kuan-Ting Kuo; Bin Guan; Yuanjian Feng; Tsui-Lien Mao; Xu Chen; Natini Jinawath; Yue Wang; Robert J Kurman; Ie-Ming Shih; Tian-Li Wang
Journal:  Cancer Res       Date:  2009-04-21       Impact factor: 12.701

6.  Loss of fragile histidine triad and amplification of 1p36.22 and 11p15.5 in primary gastric adenocarcinomas.

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Journal:  World J Gastroenterol       Date:  2012-09-07       Impact factor: 5.742

Review 7.  The ERBB3 receptor in cancer and cancer gene therapy.

Authors:  G Sithanandam; L M Anderson
Journal:  Cancer Gene Ther       Date:  2008-04-11       Impact factor: 5.987

Review 8.  The therapeutic potential of targeting the EGFR family in epithelial ovarian cancer.

Authors:  Q Sheng; J Liu
Journal:  Br J Cancer       Date:  2011-03-01       Impact factor: 7.640

9.  RNA amplification for successful gene profiling analysis.

Authors:  Ena Wang
Journal:  J Transl Med       Date:  2005-07-25       Impact factor: 5.531

10.  Comprehensive serial analysis of gene expression of the cervical transcriptome.

Authors:  Ashleen Shadeo; Raj Chari; Greg Vatcher; Jennifer Campbell; Kim M Lonergan; Jasenka Matisic; Dirk van Niekerk; Thomas Ehlen; Dianne Miller; Michele Follen; Wan L Lam; Calum MacAulay
Journal:  BMC Genomics       Date:  2007-06-01       Impact factor: 3.969

  10 in total

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