Unknown,Transcriptomics,Genomics,Proteomics

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Microarray gene-expression profiles of 45 matching pairs of pancreatic tumor and adjacent non-tumor tissues from 45 patients with pancreatic ductal adenocarcinoma


ABSTRACT: In order to identify biologically relevant tumor markers with prognostic significance, we set out to analyze gene expression profiling of tumor and adjacent non-tumor tissues from PDAC cases. We compared the microarray gene-expression profiles of 45 matching pairs of pancreatic tumor and adjacent non-tumor tissues. This data set were used to obtained genes that were differentially expressed and associated with survival. 51 genes were selected for further validation. 90 total samples were analyzed. We compared gene expression profile of 45 pairs of pancreatic tumor and adjacent non-tumor tissues using Affymetrix GeneChip Human Gene 1.0 ST arrays. Tumor gene expression profiles were distinctly different from non-tumor profiles. Using ANOVA in Partek®, 7352 independent genes were found to be differentially expressed in tumors (P<0.01). We next performed Cox-regression analysis and identified 928 of the differentially expressed genes that were associated with survival (P<0.1). The list of genes was then subjected to pathway and biomarker analyses using Ingenuity Pathways Analysis (IPA). Based on literatures supporting their roles in cancer, 51 genes were selected for further analyses

ORGANISM(S): Homo sapiens

SUBMITTER: Perwez Hussain 

PROVIDER: E-GEOD-28735 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

DPEP1 inhibits tumor cell invasiveness, enhances chemosensitivity and predicts clinical outcome in pancreatic ductal adenocarcinoma.

Zhang Geng G   Schetter Aaron A   He Peijun P   Funamizu Naotake N   Gaedcke Jochen J   Ghadimi B Michael BM   Ried Thomas T   Hassan Raffit R   Yfantis Harris G HG   Lee Dong H DH   Lacy Curtis C   Maitra Anirban A   Hanna Nader N   Alexander H Richard HR   Hussain S Perwez SP  

PloS one 20120220 2


Pancreatic ductal adenocarcinoma (PDAC) is one of the most lethal cancers worldwide. To identify biologically relevant genes with prognostic and therapeutic significance in PDAC, we first performed the microarray gene-expression profiling in 45 matching pairs of tumor and adjacent non-tumor tissues from resected PDAC cases. We identified 36 genes that were associated with patient outcome and also differentially expressed in tumors as compared with adjacent non-tumor tissues in microarray analysi  ...[more]

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