2012
DOI: 10.1371/journal.pone.0048547
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Dysplasia-Carcinoma Transition Specific Transcripts in Colonic Biopsy Samples

Abstract: BackgroundThe early molecular detection of the dysplasia-carcinoma transition may enhance the strength of diagnosis in the case of colonic biopsies. Our aims were to identify characteristic transcript sets in order to develop diagnostic mRNA expression patterns for objective classification of benign and malignant colorectal diseases and to test the classificatory power of these markers on an independent sample set.Methodology/Principal FindingsColorectal cancer (CRC) and adenoma specific transcript sets were i… Show more

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Cited by 44 publications
(46 citation statements)
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References 33 publications
(31 reference statements)
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“…8). After normalization and removal of nonexpressed genes, we determined how the global dynamics of gene expression correlate with the different stages in carcinogenesis.…”
Section: Resultsmentioning
confidence: 99%
See 2 more Smart Citations
“…8). After normalization and removal of nonexpressed genes, we determined how the global dynamics of gene expression correlate with the different stages in carcinogenesis.…”
Section: Resultsmentioning
confidence: 99%
“…Raw expression data was acquired from the Gene Expression Omnibus (accession GSE37364; ref. 8). CEL files were processed using the rma function from the affy package (10) using curated annotations available from the Brainarray resource (11).…”
Section: Acquisition and Processing Of Expression Datamentioning
confidence: 99%
See 1 more Smart Citation
“…GSE37364 set contains Affymetrix HGU133 Plus2.0 whole transcriptome data of 94 colonic biopsy samples (38 healthy normal, 27 colorectal adenocarcinoma, and 29 tubulovillous/villous adenoma) previously hybridized by our research group. 35 Five GEO data sets made by others on the same platform were also analyzed (GSE8671, 36 GSE18105, 37 GSE32323, 38 GSE22242, 39 GSE9348 40 ). Gene expression data of CRC and healthy normal (N)/ normal adjacent tissue (NAT) samples are available under serial accession numbers GSE18105, GSE32323 and GSE9348.…”
Section: Gene Expression Analysismentioning
confidence: 99%
“…Detailed patients data were described previously. [33][34][35] For confirmation of exosome marker mRNA expression results revealed from our microarray data originate from all stages of colorectal adenoma-carcinoma sequence, four additional GEO data sets were also involved in the analysis, three of them includes HGU133 Plus2.0 microarray data of colorectal carcinoma (n = 99) and normal/normal adjacent tissue (NAT) (n = 39) tissue samples (GSE18105, 36 GSE4107 37 and GSE9348 38 ) and one of them with HGU133 Plus2.0 microarray data of adenoma (n = 32) and normal/NAT (n = 32) biopsy samples (GSE8671) 39 (Supplementary Table 1). …”
Section: In Silico Mrna Expression Analysis Of Exosome Markersmentioning
confidence: 99%