Gene Expression Analysis of Thymic Neoplasms

ABSTRACT: Histologic classification of thymomas has significant limitations since complete surgical excision can be curative. In order to better understand the biology of the disease processes, we performed whole genome gene expression analysis. RNA was extracted from fresh frozen tumors from 36 patients with thymomas and follow-up data was available. Gene expression data was correlated with clinicopathological data. Using the Illumina BeadStudio® platform and Human Ref-8 Beadchip, gene expression data was analyzed by Partek®, and Ingenuity Pathways Analysis (IPA). Validation of the chosen genes was performed using quantitative real-time RT-PCR (qRT-PCR). Unsupervised clustering resulted in identification of four clusters of tumors (C1-C4). Using IPA, the top significant biological functions and p

ORGANISM(S): Homo sapiens

SUBMITTER: Sunil Badve 

PROVIDER: E-GEOD-29695 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress