Unknown,Transcriptomics,Genomics,Proteomics

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Detecting metastatic tumors after γ-irradiation using longitudinal molecular imaging and gene expression profiling of metastatic tumor nodules

ABSTRACT: Microarray analysis in the mouse metastatic tumor after ɣ-irradiation(ɣ-IR): non-irradiated primary tumor vs. radiated primary tumor vs. metastatic tumor after ɣ-irradiation Metastatic tumors in C6-L (rat glioma cells ) xenografted mice were studied after local treatment with fractionated γ-IR. To accurately detect the metastatic nodules after γ-IR, we observed the effect of γ-IR on distant metastatic tumor growth. Metastatic nodules after γ-IR indicated extensive colonization of C6-L cells in the lungs within 6 weeks after γ-IR. Identified and described the molecular events occurring after γ-IR through gene expression profiling to elucidate genetic changes (differentially expressed genes between the γ-IR primary tumors vs. non-γ-IR primary tumors and metastatic lung nodules vs. γ-IR primary tumors). We investigated the change of gene expression profile in the γ-IR primary tumors vs. non-γ-IR primary tumors and metastatic lung nodules vs. γ-IR primary tumors in rat glioma (C6-L cell) xenograft model.

ORGANISM(S): Rattus norvegicus

SUBMITTER: SuJin Jang

PROVIDER: E-GEOD-73116 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Project description:Prostate cancer is characterized by heterogeneity in the clinical course that often does not to correlate with morphologic features of the tumor. Metastasis reflects the most adverse outcome of prostate cancer, and to date there are no reliable morphologic features or serum biomarkers that can reliably predict which patients are at higher risk of developing metastatic disease. Understanding the differences in the biology of metastatic and organ confined primary tumors is essential for developing new prognostic markers and therapeutic targets. Using Affymetrix oligonucleotide arrays, we analyzed gene expression profiles of 24 androgen-ablation resistant metastatic samples obtained from 4 patients and a previously published dataset of 64 primary prostate tumor samples. Differential gene expression was analyzed after removing potentially uninformative stromal genes, addressing the differences in cellular content between primary and metastatic tumors. The metastatic samples are highly heterogeneous in expression; however, differential expression analysis shows that 415 genes are upregulated and 364 genes are downregulated at least 2 fold in every patient with metastasis. The expression profile of metastatic samples reveals changes in expression of a unique set of genes representing both the androgen ablation related pathways and other metastasis related gene networks such as cell adhesion, bone remodeling and cell cycle. The differentially expressed genes include metabolic enzymes, transcription factors such as Forkhead Box M1 (FoxM1) and cell adhesion molecules such as Osteopontin (SPP1). We hypothesize that these genes have a role in the biology of metastatic disease and that they represent potential therapeutic targets for prostate cancer. Experiment Overall Design: Using Affymetrix oligonucleotide arrays, we analyzed gene expression profiles of 24 androgen-ablation resistant metastatic samples obtained from 4 patients and a previously published dataset of 64 primary prostate tumor samples. Differential gene expression was analyzed after removing potentially uninformative stromal genes, addressing the differences in cellular content between primary and metastatic tumors.