2017
DOI: 10.18632/oncotarget.18278
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Microarray-based detection and expression analysis of new genes associated with drug resistance in ovarian cancer cell lines

Abstract: PurposeThe present study is to discover a new genes associated with drug resistance development in ovarian cancer.MethodsWe used microarray analysis to determine alterations in the level of expression of genes in cisplatin- (CisPt), doxorubicin- (Dox), topotecan- (Top), and paclitaxel- (Pac) resistant variants of W1 and A2780 ovarian cancer cell lines. Immunohistochemistry assay was used to determine protein expression in ovarian cancer patients.ResultsWe observed alterations in the expression of 22 genes that… Show more

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Cited by 81 publications
(98 citation statements)
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“…ABCB1 amplifications are associated with clinical resistance to PTX (54). PTX-R4 and R5 showed structural variants on chromosome 1, and PTX-R4 show an amplification event on chromosome 17 that encompassed a variety of ABC transporters (ABCA5, 6,8,9,10). No compelling candidate genes were found in CNVs for PTX-R6.…”
Section: Paclitaxel Resistance Is Mediated By Transporters Slco3a1 Anmentioning
confidence: 99%
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“…ABCB1 amplifications are associated with clinical resistance to PTX (54). PTX-R4 and R5 showed structural variants on chromosome 1, and PTX-R4 show an amplification event on chromosome 17 that encompassed a variety of ABC transporters (ABCA5, 6,8,9,10). No compelling candidate genes were found in CNVs for PTX-R6.…”
Section: Paclitaxel Resistance Is Mediated By Transporters Slco3a1 Anmentioning
confidence: 99%
“…Current advancement of DNA microarrays, proteomics technology and RNA-sequencing have contributed to the discovery of drug resistance genes and provided new avenues and potential clues to develop new targeted therapies to overcome the drug resistance (7)(8)(9). Gene expression has been more commonly used to predict resistance associated genes (10), however, gene expression data cannot account for mutations which affect protein activity or genetic heterogeneity among patients.…”
Section: Introductionmentioning
confidence: 99%
“…Differentially expressed miRNAs were used as a query for searching target genes in the following databases: for predicted targets-DIANA, Miranda, PicTar, TargetScan, and for experimentally validated targets-miRTAR, miRwalk [42]. To determine the actual expression value of target genes, mRNA transcriptomic data from our published experiment were used [43][44][45]. Obtained fold change values for mRNA were assigned to target genes data table.…”
Section: Mirna-target Gene Predictionmentioning
confidence: 99%
“…Targets with expression levels of between 5-and 0.2-fold (up/down regulation between 5 and -5) those of the controls were considered 'not significant (NS)' when the target gene lists were constructed. For analysis of target genes expression we used our microarray data that were published previously [43][44][45]. From target genes analysis we excluded miRNAs expressed only in W1PR2 cell line, because we do not possess mRNA microarray data for this cell line.…”
Section: Analysis Of Target Genes Expressionmentioning
confidence: 99%
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