Literature DB >> 17873646

Challenges in array comparative genomic hybridization for the analysis of cancer samples.

Norma J Nowak1, Jeffrey Miecznikowski, Stephen R Moore, Daniel Gaile, Dolores Bobadilla, David D Smith, Kemp Kernstine, Stephen J Forman, Paulette Mhawech-Fauceglia, Mary Reid, Daniel Stoler, Thom Loree, Nestor Rigual, Maureen Sullivan, Lawrence M Weiss, David Hicks, Marilyn L Slovak.   

Abstract

PURPOSE: To address some of the challenges facing the incorporation of array comparative genomic hybridization technology as a clinical tool, including archived tumor tissue, tumor heterogeneity, DNA quality and quantity, and array comparative genomic hybridization platform selection and performance.
METHODS: Experiments were designed to assess the impact of DNA source (e.g., archival material), quantity, and amplification on array comparative genomic hybridization results. Two microdissection methods were used to isolate tumor cells to minimize heterogeneity. These data and other data sets were used in a further performance comparison of two commonly used array comparative genomic hybridization platforms: bacterial artificial chromosome (Roswell Park Cancer Institute) and oligonucleotide (Agilent Technologies, Santa Clara, CA).
RESULTS: Array comparative genomic hybridization data from as few as 100 formalin-fixed, paraffin-embedded cells isolated by laser capture microdissection and amplified were remarkably similar to array comparative genomic hybridization copy number alterations detected in the bulk (unamplified) population. Manual microdissection from frozen sections provided a rapid and inexpensive means to isolate tumor from adjacent DNA for amplification and array comparative genomic hybridization. Whole genome amplification introduced no appreciable allele bias on array comparative genomic hybridization. The array comparative genomic hybridization results provided by the bacterial artificial chromosome and Agilent platforms were concordant in general, but bacterial artificial chromosome array comparative genomic hybridization showed far fewer outliers and overall less technical noise, which could adversely affect the statistical interpretation of the data.
CONCLUSIONS: This study demonstrates that copy number alterations can be robustly and reproducibly detected by array comparative genomic hybridization in DNA isolated from challenging tumor types and sources, including archival materials, low DNA yield, and heterogeneous tissues. Furthermore, bacterial artificial chromosome array comparative genomic hybridization offers the advantage over the Agilent oligonucleotide platform of presenting fewer outliers, which could affect data interpretation.

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Year:  2007        PMID: 17873646     DOI: 10.1097/gim.0b013e3181461c4a

Source DB:  PubMed          Journal:  Genet Med        ISSN: 1098-3600            Impact factor:   8.822


  17 in total

1.  Whole-genome scanning by array comparative genomic hybridization as a clinical tool for risk assessment in chronic lymphocytic leukemia.

Authors:  Shelly R Gunn; Mansoor S Mohammed; Mercedes E Gorre; Philip D Cotter; Jaeweon Kim; David W Bahler; Sergey N Preobrazhensky; Russell A Higgins; Aswani R Bolla; Sahar H Ismail; Daphne de Jong; Eric Eldering; Marinus H J van Oers; Clemens H M Mellink; Michael J Keating; Ellen J Schlette; Lynne V Abruzzo; Ryan S Robetorye
Journal:  J Mol Diagn       Date:  2008-08-07       Impact factor: 5.568

2.  Clinical implementation of integrated whole-genome copy number and mutation profiling for glioblastoma.

Authors:  Shakti H Ramkissoon; Wenya Linda Bi; Steven E Schumacher; Lori A Ramkissoon; Sam Haidar; David Knoff; Adrian Dubuc; Loreal Brown; Margot Burns; Jane B Cryan; Malak Abedalthagafi; Yun Jee Kang; Nikolaus Schultz; David A Reardon; Eudocia Q Lee; Mikael L Rinne; Andrew D Norden; Lakshmi Nayak; Sandra Ruland; Lisa M Doherty; Debra C LaFrankie; Margaret Horvath; Ayal A Aizer; Andrea Russo; Nils D Arvold; Elizabeth B Claus; Ossama Al-Mefty; Mark D Johnson; Alexandra J Golby; Ian F Dunn; E Antonio Chiocca; Lorenzo Trippa; Sandro Santagata; Rebecca D Folkerth; Philip Kantoff; Barrett J Rollins; Neal I Lindeman; Patrick Y Wen; Azra H Ligon; Rameen Beroukhim; Brian M Alexander; Keith L Ligon
Journal:  Neuro Oncol       Date:  2015-03-09       Impact factor: 12.300

3.  Identification of metastasis-associated breast cancer genes using a high-resolution whole genome profiling approach.

Authors:  Mohamed M Desouki; Shaoxi Liao; Huayi Huang; Jeffrey Conroy; Norma J Nowak; Lori Shepherd; Daniel P Gaile; Joseph Geradts
Journal:  J Cancer Res Clin Oncol       Date:  2010-08-03       Impact factor: 4.553

4.  Intracystic papillary carcinoma of breast: interrelationship with in situ and invasive carcinoma and a proposal of pathogenesis: array comparative genomic hybridization study of 14 cases.

Authors:  Thaer Khoury; Qiang Hu; Song Liu; Jianmin Wang
Journal:  Mod Pathol       Date:  2013-08-02       Impact factor: 7.842

5.  Molecular karyotypes of Hodgkin and Reed-Sternberg cells at disease onset reveal distinct copy number alterations in chemosensitive versus refractory Hodgkin lymphoma.

Authors:  Marilyn L Slovak; Victoria Bedell; Ya-Hsuan Hsu; Dolores B Estrine; Norma J Nowak; Maria L Delioukina; Lawrence M Weiss; David D Smith; Stephen J Forman
Journal:  Clin Cancer Res       Date:  2011-03-08       Impact factor: 12.531

6.  Comparative membrane proteomic analysis between lung adenocarcinoma and normal tissue by iTRAQ labeling mass spectrometry.

Authors:  Xuede Zhang; Wei Li; Yanli Hou; Zequn Niu; Yujie Zhong; Yuping Zhang; Shuanying Yang
Journal:  Am J Transl Res       Date:  2014-05-15       Impact factor: 4.060

7.  Differential copy number aberrations in novel candidate genes associated with progression from in situ to invasive ductal carcinoma of the breast.

Authors:  Shaoxi Liao; Mohamed M Desouki; Daniel P Gaile; Lori Shepherd; Norma J Nowak; Jeffrey Conroy; William T Barry; Joseph Geradts
Journal:  Genes Chromosomes Cancer       Date:  2012-08-09       Impact factor: 5.006

8.  Comparison of assembled Clostridium botulinum A1 genomes revealed their evolutionary relationship.

Authors:  Virginia Ng; Wei-Jen Lin
Journal:  Genomics       Date:  2013-12-22       Impact factor: 5.736

9.  Gab2-mediated signaling promotes melanoma metastasis.

Authors:  Basil Horst; Sofia K Gruvberger-Saal; Benjamin D Hopkins; Lindsey Bordone; Ying Yang; Karen A Chernoff; Ijeoma Uzoma; Volker Schwipper; Jutta Liebau; Norma J Nowak; Georg Brunner; David Owens; David L Rimm; Ramon Parsons; Julide Tok Celebi
Journal:  Am J Pathol       Date:  2009-04       Impact factor: 4.307

10.  GAB2 amplifications refine molecular classification of melanoma.

Authors:  Karen A Chernoff; Lindsey Bordone; Basil Horst; Katherine Simon; William Twadell; Keagan Lee; Jason A Cohen; Shuang Wang; David N Silvers; Georg Brunner; Julide Tok Celebi
Journal:  Clin Cancer Res       Date:  2009-06-09       Impact factor: 12.531

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