ABSTRACT
BACKGROUND: 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. RESULTS: 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. CONCLUSION: 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.
Subject(s)
Biomarkers, Tumor/genetics , Cell Membrane/metabolism , Gene Expression Profiling/methods , Gene Expression Regulation, Neoplastic , Membrane Proteins/chemistry , Neovascularization, Pathologic , Analysis of Variance , Animals , Cell Line, Transformed , Cell Line, Tumor , DNA, Complementary/metabolism , Female , Genetic Markers , Genetic Techniques , Genomics/methods , Humans , Male , Membrane Proteins/genetics , Mice , Mice, Inbred BALB C , Multivariate Analysis , Neoplasm Transplantation , Nucleic Acid Hybridization , Oligonucleotide Array Sequence Analysis , Polymerase Chain Reaction , Principal Component Analysis , RNA/metabolism , Signal TransductionABSTRACT
Survival factors play critical roles in regulating cell growth in normal and cancer cells. We designed a genetic screen to identify survival factors which protect tumor cells from apoptosis. A retroviral expression library of random cDNA fragments was constructed from cancer cells and used to transduce the colon carcinoma cell line HCT116. Recipient cells were functionally selected for induction of caspase 3-mediated apoptosis. Analyses of over 10,000 putative genetic suppression elements (GSEs) sequences revealed cognate gene candidates that are implicated in apoptosis. We further analysed 26 genes encoding cell surface and secreted proteins that can potentially serve as targets for therapeutic antibodies. Tetracycline-inducible GSEs from several gene candidates induced apoptosis in stable HCT 116 cell lines. Similar phenotypes were caused by RNAi derived from the same genes. Our data suggest requirement for the cell surface targets IGF2R, L1CAM and SLC31A1 in tumor cell growth in vitro, and suggests that IGF2R is required for xenograft tumor growth in a mouse model.
