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Microsatellite stable (n=38) and instable-high (n=13) human colorectal tumors assayed with Affymetrix HuGeneFL arrays.


ABSTRACT: mRNA assays were performed on 51 samples of human colorectal tumors using Affymetrix HuGeneFL arrays containing 7129 probe-sets. We compared 38 microsatelite stable (MSS) tumors with 13 microsatellite instable-high (MSI) tumors to form a list of genes differing between the two types. In order to identify molecular signatures characterizing MSI tumors, we examined only MSI-high cancers and not MSI-low ones. Keywords: disease state analysis Human samples of 38 microsatellie stable and 13 microsatellite instable-high colorectal tumors, each from a separate patient, had mRNA assays performed using Affymetrix HuGeneFL arrays, with 7129 probe-sets. A supplementary Excel file (Colon_HuFL_logs.xls) is attached below that gives the log-transformed probe-set values. It also gives the p-values from T-tests comparing these values between MSS and MSI samples, as well as an estimated average fold-difference, for which the mathematical functions are explicitly given.

ORGANISM(S): Homo sapiens

SUBMITTER: Rork Kuick 

PROVIDER: E-GEOD-11543 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Gene expression patterns in mismatch repair-deficient colorectal cancers highlight the potential therapeutic role of inhibitors of the phosphatidylinositol 3-kinase-AKT-mammalian target of rapamycin pathway.

Vilar Eduardo E   Mukherjee Bhramar B   Kuick Rork R   Raskin Leon L   Misek David E DE   Taylor Jeremy M G JM   Giordano Thomas J TJ   Hanash Samir M SM   Fearon Eric R ER   Rennert Gad G   Gruber Stephen B SB  

Clinical cancer research : an official journal of the American Association for Cancer Research 20090407 8


<h4>Purpose</h4>High-frequency microsatellite-instable (MSI-H) tumors account for approximately 15% of colorectal cancers. Therapeutic decisions for colorectal cancer are empirically based and currently do not emphasize molecular subclassification despite an increasing collection of gene expression information. Our objective was to identify low molecular weight compounds with preferential activity against MSI colorectal cancers using combined gene expression data sets.<h4>Experimental design</h4  ...[more]

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