Literature DB >> 18773450

Microdissection molecular copy-number counting (microMCC)--unlocking cancer archives with digital PCR.

F McCaughan1, E Darai-Ramqvist, A T Bankier, B A Konfortov, N Foster, P J George, T H Rabbitts, M Kost-Alimova, P H Rabbitts, P H Dear.   

Abstract

Most cancer genomes are characterized by the gain or loss of copies of some sequences through deletion, amplification or unbalanced translocations. Delineating and quantifying these changes is important in understanding the initiation and progression of cancer, in identifying novel therapeutic targets, and in the diagnosis and prognosis of individual patients. Conventional methods for measuring copy-number are limited in their ability to analyse large numbers of loci, in their dynamic range and accuracy, or in their ability to analyse small or degraded samples. This latter limitation makes it difficult to access the wealth of fixed, archived material present in clinical collections, and also impairs our ability to analyse small numbers of selected cells from biopsies. Molecular copy-number counting (MCC), a digital PCR technique, has been used to delineate a non-reciprocal translocation using good quality DNA from a renal carcinoma cell line. We now demonstrate microMCC, an adaptation of MCC which allows the precise assessment of copy number variation over a significant dynamic range, in template DNA extracted from formalin-fixed paraffin-embedded clinical biopsies. Further, microMCC can accurately measure copy number variation at multiple loci, even when applied to picogram quantities of grossly degraded DNA extracted after laser capture microdissection of fixed specimens. Finally, we demonstrate the power of microMCC to precisely interrogate cancer genomes, in a way not currently feasible with other methodologies, by defining the position of a junction between an amplified and non-amplified genomic segment in a bronchial carcinoma. This has tremendous potential for the exploitation of archived resources for high-resolution targeted cancer genomics and in the future for interrogating multiple loci in cancer diagnostics or prognostics. (c) 2008 Pathological Society of Great Britain and Ireland. Published by John Wiley & Sons, Ltd.

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Year:  2008        PMID: 18773450     DOI: 10.1002/path.2413

Source DB:  PubMed          Journal:  J Pathol        ISSN: 0022-3417            Impact factor:   7.996


  7 in total

Review 1.  Current analysis platforms and methods for detecting copy number variation.

Authors:  Wenli Li; Michael Olivier
Journal:  Physiol Genomics       Date:  2012-11-06       Impact factor: 3.107

2.  Using next-generation sequencing for high resolution multiplex analysis of copy number variation from nanogram quantities of DNA from formalin-fixed paraffin-embedded specimens.

Authors:  Henry M Wood; Ornella Belvedere; Caroline Conway; Catherine Daly; Rebecca Chalkley; Melissa Bickerdike; Claire McKinley; Phil Egan; Lisa Ross; Bruce Hayward; Joanne Morgan; Leslie Davidson; Ken MacLennan; Thian K Ong; Kostas Papagiannopoulos; Ian Cook; David J Adams; Graham R Taylor; Pamela Rabbitts
Journal:  Nucleic Acids Res       Date:  2010-06-04       Impact factor: 16.971

3.  Progressive 3q amplification consistently targets SOX2 in preinvasive squamous lung cancer.

Authors:  Frank McCaughan; Jessica C M Pole; Alan T Bankier; Bernard A Konfortov; Bernadette Carroll; Mary Falzon; Terence H Rabbitts; P Jeremy George; Paul H Dear; Pamela H Rabbitts
Journal:  Am J Respir Crit Care Med       Date:  2010-03-18       Impact factor: 21.405

4.  Single-molecule analysis of genome rearrangements in cancer.

Authors:  Jessica C M Pole; Frank McCaughan; Scott Newman; Karen D Howarth; Paul H Dear; Paul A W Edwards
Journal:  Nucleic Acids Res       Date:  2011-04-27       Impact factor: 16.971

5.  Insights into the genome structure and copy-number variation of Eimeria tenella.

Authors:  Lik-Sin Lim; Yea-Ling Tay; Halimah Alias; Kiew-Lian Wan; Paul H Dear
Journal:  BMC Genomics       Date:  2012-08-13       Impact factor: 3.969

6.  IRS2 is a candidate driver oncogene on 13q34 in colorectal cancer.

Authors:  Elizabeth Day; George Poulogiannis; Frank McCaughan; Shani Mulholland; Mark J Arends; Ashraf E K Ibrahim; Paul H Dear
Journal:  Int J Exp Pathol       Date:  2013-04-18       Impact factor: 1.925

7.  Genomic evidence of pre-invasive clonal expansion, dispersal and progression in bronchial dysplasia.

Authors:  Frank McCaughan; Christodoulos P Pipinikas; Sam M Janes; P Jeremy George; Pamela H Rabbitts; Paul H Dear
Journal:  J Pathol       Date:  2011-04-19       Impact factor: 7.996

  7 in total

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