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Identification of hypermethylated genes associated with cisplatin resistance in human cancers.

ABSTRACT: Cisplatin is among the most widely used cytotoxic anticancer agents in solid tumors; however, the development of secondary resistance remains a major obstacle to clinical efficacy. Treatment-related DNA hypermethylation may play a role in creating drug-resistant phenotypes by inactivating genes that are required for cytotoxicity. We applied a pharmacologic unmasking approach to detect hypermethylated genes whose inactivation contributes to cisplatin resistance. Using three pairs of isogeneic, cisplatin-sensitive, and cisplatin-resistant cell lines derived from two parental cell lines (KB-3-1 and SCC25), we identified several hundred genes that were downregulated in each resistant cell line and reactivated by the DNA methyltransferase inhibitor 5-aza-2'-deoxycytidine. Among them, 30 genes were common to two or more cell lines and/or reported to be downregulated in previous studies. Bisulfite sequencing confirmed that 14 genes were hypermethylated in resistant cell lines but not in the sensitive parental cell lines. Six of 14 genes (SAT, C8orf4, LAMB3, TUBB, G0S2, and MCAM) were cisplatin inducible in sensitive but not in resistant cell lines. Small interfering RNA knockdown of two genes, SAT and S100P, increased cell viability with cisplatin treatment in sensitive parental cell lines. S100P knockdown significantly decreased the S-phase fraction of parental sensitive cell lines and slowed cell proliferation, which was associated with decreased sensitivity to cisplatin. Based on these findings, we conclude that DNA methylation is a frequent event in cells that are chronically exposed to cisplatin and that methylation-induced gene silencing may play a role in the development of resistance to cytotoxic chemotherapeutic agents.

SUBMITTER: Chang X

PROVIDER: S-EPMC2849007 | biostudies-literature | 2010 Apr

REPOSITORIES: biostudies-literature

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Identification of hypermethylated genes associated with cisplatin resistance in human cancers.

Chang Xiaofei X Monitto Constance L CL Demokan Semra S Kim Myoung Sook MS Chang Steven S SS Zhong Xiaoli X Califano Joseph A JA Sidransky David D

Cancer research 20100309 7

Cisplatin is among the most widely used cytotoxic anticancer agents in solid tumors; however, the development of secondary resistance remains a major obstacle to clinical efficacy. Treatment-related DNA hypermethylation may play a role in creating drug-resistant phenotypes by inactivating genes that are required for cytotoxicity. We applied a pharmacologic unmasking approach to detect hypermethylated genes whose inactivation contributes to cisplatin resistance. Using three pairs of isogeneic, ci ...[more]

PMID: 20215521

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Project description:Advancement in gene profiling techniques makes it possible to measure expressions of thousands of genes and identify genes associated with development and progression of cancer. The identified cancer-associated genes can be used for diagnosis, prognosis prediction, and treatment selection. Most existing cancer microarray studies have been focusing on the identification of genes associated with a specific type of cancer. Recent biomedical studies suggest that different cancers may share common susceptibility genes. A comprehensive description of the associations between genes and cancers requires identification of not only multiple genes associated with a specific type of cancer but also genes associated with multiple cancers.In this article, we propose the Mc.TGD (Multi-cancer Threshold Gradient Descent), an integrative analysis approach capable of analyzing multiple microarray studies on different cancers. The Mc.TGD is the first regularized approach to conduct "two-dimensional" selection of genes with joint effects on cancer development. Simulation studies show that the Mc.TGD can more accurately identify genes associated with multiple cancers than meta analysis based on "one-dimensional" methods. As a byproduct, identification accuracy of genes associated with only one type of cancer may also be improved. We use the Mc.TGD to analyze seven microarray studies investigating development of seven different types of cancers. We identify one gene associated with six types of cancers and four genes associated with five types of cancers. In addition, we also identify 11, 9, 18, and 17 genes associated with 4 to 1 types of cancers, respectively. We evaluate prediction performance using a Leave-One-Out cross validation approach and find that only 4 (out of 570) subjects cannot be properly predicted.The Mc.TGD can identify a short list of genes associated with one or multiple types of cancers. The identified genes are considerably different from those identified using meta analysis or analysis of marginal effects.

Project description:Identification and characterization of epigenetically silenced genes is very important for cancer research. Particularly, information of hypermethylated genes provides clues to understand roles of epigenetics in tumorigeneses, and genes frequently methylated in a tumor-specific manner can be used as tumor markers. DNA methylation inhibitors such as 5-aza-cytidine or 5-aza-2’-deoxycytidine were widely used to search epigenetically silenced genes. However, these inhibitors frequently upregulate genes whose promoters remain unmethylated. We tried to improve the specificity and sensitivity in detecting such methylation-mediated silenced genes in cancer and successfully developed a new method termed “methyl-CpG targeted transcriptional activation (MeTA)” by using a transcriptional activating fragment with a methyl-CpG binding domain (MBD) that specifically recognizes and binds to methylated DNAs. Because MBD proteins in fact mediate transcriptional repression of tumor suppressor genes associated with promoter hypermethylation in cancer, MeTA is thought to be one of the ideal methods to search such genes. In the present study, we applied this method to three representative pancreatic cancer cell lines, AsPC-1, MIA PaCa-2, and PANC-1, with a normal pancreatic ductal epithelial cell line HPDE (as the control). All of these cell lines have already been analyzed their expression profiles by 5-aza-2’-deoxycytidine. We first analyzed the expression of five genes by RT-PCR with Southern hybridization, NEFH, NPTX2, SFRP1, TIMP3, and UCHL1; these genes are known to be methylated in at least any one of these cancer cell lines. Upregulation by “MeTA” was confirmed in all of these genes. Then we searched for upregulated-genes, by two-folds or more, in all the three cancer cell lines after MeTA; nineteen such upregulated genes were identified. Among these, sixteen genes except NEFH, HOXA9, and CLDN5 have not been reported previously using the conventional DNA methylation inhibitors. Methylation status of two genes, SLC32A1 and CSMD2, were further analyzed by methylation-specific PCR and found that SLC32A1 and CSMD2 were methylated in 100% (21/21) and 83% (15/18) pancreatic cancer cell lines analyzed, respectively. Our results suggest that “MeTA” is a highly efficient method to isolate methylation-mediated transcriptionally silenced genes in human pancreatic cancer and that this method can be applied to other types of human cancer. Three representative pancreatic cancer cell lines, AsPC-1, MIA PaCa-2, and PANC-1, with a normal pancreatic ductal epithelial cell line HPDE (as the control) were transfected with pcDNA6/myc-His vector or pcDNA6-3xFLAG-NFkB (AD)-MBD and were harvested 48 h after transfection.

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Identification of hypermethylated genes associated with cisplatin resistance in human cancers.

Publications

Identification of hypermethylated genes associated with cisplatin resistance in human cancers.

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