Literature DB >> 15192650

Tissue preparation for gene expression profiling of colorectal carcinoma: three alternatives to laser microdissection with preamplification.

Roland S Croner1, Klaus Guenther, Thomas Foertsch, Renate Siebenhaar, Wolfgang M Brueckl, Christian Stremmel, Falk Hlubek, Werner Hohenberger, Bertram Reingruber.   

Abstract

Colorectal-carcinoma specimens are heterogeneous and include areas of nonmalignant mucosal and connective tissue. For those study designs in which laser microdissection and RNA preamplification are impracticable, the optimal yield of genuine cancer RNA is a key factor in gene-expression analysis. In this study we compared alternative methods of tissue purification. Three contiguous 0.5-cm(3) samples taken from an advanced primary adenocarcinoma of the sigmoid colon were processed immediately after surgery with the use of the following methods: (1) cryotomy after manual dissection (CMD), (2) microscopically assisted manual dissection (MAMD), and (3) tumor-cell isolation with the use of Ber-EP4 antibodies and Dynabeads (Dynal Biotech GmbH, Hamburg, Germany; technique abbreviated as DB). We generated gene-expression profiles with the use of GeneChip technology (Affymetrix, Santa Clara, Calif) and recorded preparation times, costs, and RNA quantity and quality. CMD took 60 minutes, MAMD 180 minutes, and DB 90 minutes to isolate 22, 8, and 23 microg of RNA, respectively. Expenses for materials amounted to 41, 23, and 91 US dollars for CMD, MAMD, and DB, respectively. The 3'/5' ratio, as determined with the GeneChips, for GAPDH/beta-actin was 1.01:1.03 for CMD, 1.13:1.28 for MAMD, 1.43:1.68 for DB, K-ras, APC, smad 2, transforming growth factor-beta, and p53 were marked as present in all cases, with the exception of APC, which was graded as marginal on DB. The correlation values of gene-expression profiles were 91% (CMD/DB), 93% (CMD/MAMD), and 97% (DB/MAMD). All 3 methods provided enough RNA, of sufficient quality, for gene-expression microarray analysis in colorectal carcinoma. Cross-methodologic analyses of array data should not be performed uncritically.

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Year:  2004        PMID: 15192650     DOI: 10.1016/j.lab.2004.03.003

Source DB:  PubMed          Journal:  J Lab Clin Med        ISSN: 0022-2143


  9 in total

1.  Common denominator genes that distinguish colorectal carcinoma from normal mucosa.

Authors:  Roland S Croner; Thomas Foertsch; Wolfgang M Brueckl; Klaus Guenther; Renate Siebenhaar; Christian Stremmel; Klaus E Matzel; Thomas Papadopoulos; Thomas Kirchner; Jürgen Behrens; Ludger Klein-Hitpass; Michael Stuerzl; Werner Hohenberger; Bertram Reingruber
Journal:  Int J Colorectal Dis       Date:  2004-12-22       Impact factor: 2.571

2.  Assessing the quality of hybridized RNA in Affymetrix GeneChips using linear regression.

Authors:  Meijuan Li; Cavan Reilly
Journal:  J Biomol Tech       Date:  2008-04

3.  Development of the "Three-step MACS": a novel strategy for isolating rare cell populations in the absence of known cell surface markers from complex animal tissue.

Authors:  Mathia Y Lee; Thomas Lufkin
Journal:  J Biomol Tech       Date:  2012-07

4.  Effect of long-term storage in TRIzol on microarray-based gene expression profiling.

Authors:  Wencai Ma; Michael Wang; Zhi-Qiang Wang; Luhong Sun; David Graber; Jairo Matthews; Richard Champlin; Qing Yi; Robert Z Orlowski; Larry W Kwak; Donna M Weber; Sheeba K Thomas; Jatin Shah; Steven Kornblau; Richard E Davis
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2010-08-30       Impact factor: 4.254

5.  Quantitative proteome profiling of lymph node-positive vs. -negative colorectal carcinomas pinpoints MX1 as a marker for lymph node metastasis.

Authors:  Roland S Croner; Michael Stürzl; Tilman T Rau; Gergana Metodieva; Carol I Geppert; Elisabeth Naschberger; Berthold Lausen; Metodi V Metodiev
Journal:  Int J Cancer       Date:  2014-05-12       Impact factor: 7.396

6.  ATM in oral carcinogenesis: association with clinicopathological features.

Authors:  Yuan He; Qianming Chen; Bingqi Li
Journal:  J Cancer Res Clin Oncol       Date:  2008-02-21       Impact factor: 4.553

7.  Macrodissection versus microdissection of rectal carcinoma: minor influence of stroma cells to tumor cell gene expression profiles.

Authors:  Elza C de Bruin; Simone van de Pas; Esther H Lips; Ronald van Eijk; Minke M C van der Zee; Marcel Lombaerts; Tom van Wezel; Corrie A M Marijnen; J Han J M van Krieken; Jan Paul Medema; Cornelis J H van de Velde; Paul H C Eilers; Lucy T C Peltenburg
Journal:  BMC Genomics       Date:  2005-10-14       Impact factor: 3.969

8.  Comparability of microarray data between amplified and non amplified RNA in colorectal carcinoma.

Authors:  Roland S Croner; Berthold Lausen; Vera Schellerer; Isabel Zeittraeger; Axel Wein; Claus Schildberg; Thomas Papadopoulos; Arno Dimmler; Eckhart G Hahn; Werner Hohenberger; Wolfgang M Brueckl
Journal:  J Biomed Biotechnol       Date:  2009-10-11

9.  Efficacy and feasibility of the epithelial cell adhesion molecule (EpCAM) immunomagnetic cell sorter for studies of DNA methylation in colorectal cancer.

Authors:  Alessandra Failli; Annalisa Legitimo; Francesca Migheli; Fabio Coppedè; John C Mathers; Roberto Spisni; Paolo Miccoli; Lucia Migliore; Rita Consolini
Journal:  Int J Mol Sci       Date:  2013-12-20       Impact factor: 5.923

  9 in total

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