We analyzed the KEGG, GO, and Reactome databases for enrichment of any potential pathways terms in the 3 different drug resistant cell lines. While many pathways were found enriched in each resistance phenotypes, some pathways emerged as consistently identified in the three databases. For example, all the approaches identified various cell surface pathways, including ECM mediated events as altered in cisplatin resistance. Changes in genes such as LAMA3, LAMA5, LAMB1, COL17A1, CD44, ITGA2, SDCBP, and GPC3 contributed to these pathways. Ingenuity network analysis was used to iden tify the relationship between these genes, as well as pos sible interactions with other genes found altered in our dataset. In addition, pathways associated with cell movement were also identified in multiple databases as enriched in cisplatin derived resistant lines.

Doxorubicin derived resistance showed a very strong enrichment for changes in pathways involved protea some degradation. The p values for enrichment indicated that this pathway was clearly dominant compared to other pathways. Net work analysis revealed a vast array of interactions and suggested that many upstream pathways, including NF B, may be involved kinase inhibitor WIKI4 in regulating the proteasome genes identified here. Paclitaxel resistance exhib ited changes in pathways related to mRNA and protein synthesis, and the genes affected included multiple ribo somal genes and translation factors. Net work analysis shows the possible relationship of the translation pathway with other pathways, including VHL.

Pathways related to oxidative stress and glycolysis were also found as altered in paclitaxel derived resistance. Consistent with the fact that gene expression changes were different between the various resistance pheno types, the dominant pathways were also different, and few pathways were found in common between the various types of resistance. When {learn this here now| selleck chemicals|selleck|selleck chemicals|LDC000067 ic50 the 62 genes that are found in common between all three resis tance phenotypes were studied for pathway enrichment, the only pathway found significantly overre presented was the regulation of fatty acid metabolism and oxidation, which included the differentially expressed genes NCOA3, NCOA1, ACADM, and ACADVL. Discussion Drug resistance remains a major obstacle in cancer ther apy and significant efforts have been directed at under standing the mechanisms leading to the development of resistance.

Gene expression profiling has played a key role in providing us with important clues regarding genes and pathways that may be affected in drug resistance. Overall, the picture that has emerged is that the drug resistance is a multifactorial process involving mechanisms that are both drug and tissue dependent. To address these issues in ovarian cancer, we have gen erated cell lines that are individually resistant to cispla tin, paclitaxel, or doxorubicin.