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Casodex treatment induces hypoxia-related gene expression in the LNCaP prostate cancer progression model.

ABSTRACT: The changes in gene expression profile as prostate cancer progresses from an androgen-dependent disease to an androgen-independent disease are still largely unknown.We examined the gene expression profile in the LNCaP prostate cancer progression model during chronic treatment with Casodex using cDNA microarrays consisting of 2305 randomly chosen genes.Our studies revealed a representative collection of genes whose expression was differentially regulated in LNCaP cells upon treatment with Casodex. A set of 15 genes were shown to be highly expressed in Casodex-treated LNCaP cells compared to the reference sample. This set of highly expressed genes represents a signature collection unique to prostate cancer since their expression was significantly greater than that of the collective pool of ten cancer cell lines of the reference sample. The highly expressed signature collection included the hypoxia-related genes membrane metallo-endopeptidase (MME), cyclin G2, and Bcl2/adenovirus E1B 19 kDa (BNIP3). Given the roles of these genes in angiogenesis, cell cycle regulation, and apoptosis, we further analyzed their expression and concluded that these genes may be involved in the molecular changes that lead to androgen-independence in prostate cancer.Our data indicate that one of the mechanisms of Casodex action in prostate cancer cells is induction of hypoxic gene expression.

SUBMITTER: Rothermund CA

PROVIDER: S-EPMC1079894 | biostudies-literature | 2005 Mar

REPOSITORIES: biostudies-literature

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Casodex treatment induces hypoxia-related gene expression in the LNCaP prostate cancer progression model.

Rothermund Christy A CA Gopalakrishnan Velliyur K VK Eudy James D JD Vishwanatha Jamboor K JK

BMC urology 20050324

<h4>Background</h4>The changes in gene expression profile as prostate cancer progresses from an androgen-dependent disease to an androgen-independent disease are still largely unknown.<h4>Methods</h4>We examined the gene expression profile in the LNCaP prostate cancer progression model during chronic treatment with Casodex using cDNA microarrays consisting of 2305 randomly chosen genes.<h4>Results</h4>Our studies revealed a representative collection of genes whose expression was differentially r ...[more]

PMID: 15790403

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Project description:BACKGROUND: The identification of gene differential co-expression patterns between cancer stages is a newly developing method to reveal the underlying molecular mechanisms of carcinogenesis. Most researches of this subject lack an algorithm useful for performing a statistical significance assessment involving cancer progression. Lacking this specific algorithm is apparently absent in identifying precise gene pairs correlating to cancer progression. RESULTS: In this investigation we studied gene pair co-expression change by using a stochastic process model for approximating the underlying dynamic procedure of the co-expression change during cancer progression. Also, we presented a novel analytical method named 'Stochastic process model for Identifying differentially co-expressed Gene pair' (SIG method). This method has been applied to two well known prostate cancer data sets: hormone sensitive versus hormone resistant, and healthy versus cancerous. From these data sets, 428,582 gene pairs and 303,992 gene pairs were identified respectively. Afterwards, we used two different current statistical methods to the same data sets, which were developed to identify gene pair differential co-expression and did not consider cancer progression in algorithm. We then compared these results from three different perspectives: progression analysis, gene pair identification effectiveness analysis, and pathway enrichment analysis. Statistical methods were used to quantify the quality and performance of these different perspectives. They included: Re-identification Scale (RS) and Progression Score (PS) in progression analysis, True Positive Rate (TPR) in gene pair analysis, and Pathway Enrichment Score (PES) in pathway analysis. Our results show small values of RS and large values of PS, TPR, and PES; thus, suggesting that gene pairs identified by the SIG method are highly correlated with cancer progression, and highly enriched in disease-specific pathways. From this research, several gene interaction networks inferred could provide clues for the mechanism of prostate cancer progression. CONCLUSION: The SIG method reliably identifies cancer progression correlated gene pairs, and performs well both in gene pair ontology analysis and in pathway enrichment analysis. This method provides an effective means of understanding the molecular mechanism of carcinogenesis by appropriately tracking down the process of cancer progression.

Project description:Recent evidence has demonstrated that circular RNAs (circRNAs) played crucial roles in fine-tuning the levels of gene expression by sequestering the corresponding microRNA (miRNAs). Their interaction with disease-associated miRNAs indicates that circRNAs are important for the development of disease, and miR-145 has been previously shown to have antitumor effect in prostate cancer. In the current study, we successfully established the miR-145-overexpressed prostate cancer LNCaP cells (LNCaP-miR-145) using lentiviral vectors. LNCaP cells expressing the empty vector (LNCaP-NC) were used as the negative control. The circRNA expression in LNCaP-miR-145 cells was detected by microarray analysis, and the miRNA targets of circRNAs were predicted using the bioinformatics software TargetScan and miRanda. Quantitative reverse transcription polymerase chain reaction was used to detect the expression levels of circRNAs in the prostate cancer tissue, nonmalignant tissue, LNCaP-miR-145 cells, and LNCaP-NC cells. The interaction of miRNA and circRNA was further confirmed by the dual-luciferase reporter assay. A total of 267 and 149 circRNAs were significantly up- and downregulated in LNCaP-miR-145 cells, respectively. hsa_circRNA_101981, hsa_circRNA_101996 and hsa_circRNA_09142 were the 3 circRNAs that interacted with hsa-miR-145-5p; hsa_circRNA_008068 and hsa_circRNA_406557 were the 2 circRNAs that interacted with hsa-miR-145-3p. Most of the circRNAs corresponded to the protein-coding exons. The expression levels of hsa_circRNA_101981, hsa_circRNA_00806, and hsa_circRNA_406557 were upregulated in the LNCaP-miR-145 cells, but downregulated in the prostate cancer tissue. In contrast, the expression levels of hsa_circRNA_101996 and hsa_circRNA_091420 were downregulated in the LNCaP-miR-145 cells, but upregulated in the prostate cancer tissue. Moreover, miR-145-5P might regulate the expression of hsa_circRNA_101981, hsa_circRNA_101996, and hsa_circRNA_09142, while miR-145-3P might regulate the expression of hsa_circRNA_008068 and hsa_circRNA_406557. Overexpression of miR-145 promoted the expression of hsa_circRNA_101981, hsa_circRNA_008068, and hsa_circRNA_406557 but suppressed the expressions of hsa_circRNA_101996 and hsa_circRNA_091420 in LNCaP cells. The results from the current study should give us a clue to clarify the tumor suppressive effect of miR-145.

Dataset Information

Casodex treatment induces hypoxia-related gene expression in the LNCaP prostate cancer progression model.

Publications

Casodex treatment induces hypoxia-related gene expression in the LNCaP prostate cancer progression model.

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