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PMID: 15836779 Published · epublish English

Expression analysis of secreted and cell surface genes of five transformed human cell lines and derivative xenograft tumors.

BMC genomics ·Vol. 6 ·2006-05-01

Stull Robert A, Tavassoli Roya, Kennedy Scot, Osborn Steve, Harte Rachel, Lu Yan, Napier Cheryl, Abo Arie, Chin Daniel J

Abstract

Since the early stages of tumorigenesis involve adhesion, escape from immune surveillance, vascularization and angiogenesis, we devised a strategy to study the expression profiles of all publicly known and putative secreted and cell surface genes. We designed a custom oligonucleotide microarray containing probes for 3531 secreted and cell surface genes to study 5 diverse human transformed cell lines and their derivative xenograft tumors. The origins of these human cell lines were lung (A549), breast (MDA MB-231), colon (HCT-116), ovarian (SK-OV-3) and prostate (PC3) carcinomas.,Three different analyses were performed: (1) A PCA-based linear discriminant analysis identified a 54 gene profile characteristic of all tumors, (2) Application of MANOVA (Pcorr < .05) to tumor data revealed a larger set of 149 differentially expressed genes. (3) After MANOVA was performed on data from individual tumors, a comparison of differential genes amongst all tumor types revealed 12 common differential genes. Seven of the 12 genes were identified by all three analytical methods. These included late angiogenic, morphogenic and extracellular matrix genes such as ANGPTL4, COL1A1, GP2, GPR57, LAMB3, PCDHB9 and PTGER3. The differential expression of ANGPTL4 and COL1A1 and other genes was confirmed by quantitative PCR.,Overall, a comparison of the three analyses revealed an expression pattern indicative of late angiogenic processes. These results show that a xenograft model using multiple cell lines of diverse tissue origin can identify common tumorigenic cell surface or secreted molecules that may be important biomarker and therapeutic discoveries.

Article Info
Journal
BMC genomics
Abbr.
BMC Genomics
Published
2006-05-01
Indexed
2005-05-13
Updated
2015-11-19
Language
English
Country/Region
England
NLM ID
100965258
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