Biomedical subjects

James K Breaux

Publications and source records attributed to James K Breaux.

4 recordsLinked to original sources

PubMed2006

Novel mechanisms of platinum drug resistance identified in cells selected for resistance to JM118 the active metabolite of satraplatin.

PURPOSE: The goal of this study was to identify molecular determinants of sensitivity and resistance to JM118, the active metabolite of satraplatin, an orally bioavailable cisplatin analog that has activity in prostate cancer. EXPERIMENTAL DESIGN: Human ovarian carcinoma 2008/JM118 cells were derived from parental 2008 cells by repeated exposure to JM118; the revertant 2008/JM118/REV subline was isolated from the 2008/JM118 cells by growth in the absence of drug. Drug sensitivity was determined by clonogenic assay and Pt levels were measured by ICP-MS. RESULTS: Eight sequential rounds of selection yielded the 2008/JM118 subline that was 4.9-fold resistant to JM118 and cross-resistant at varying levels to satraplatin, cisplatin, carboplatin, and oxaliplatin. Cross-resistance to the other Pt drugs was lost as resistance to JM118 waned. The same parental 2008 cells selected for resistance to cisplatin were partially cross-resistant to JM118. The 2008/JM118 cells accumulated significantly more Pt than the 2008 cells when exposed to low concentrations of either JM118 or cisplatin indicating a detoxification process that involves intracellular sequestration. In contrast, 2008 cells selected for cisplatin resistance accumulated less cisplatin and less JM118 reflecting a mechanism involving reduced accumulation. The 2008 and 2008/JM118 cells did not differ in their uptake or efflux of 64Cu, expression of Cu efflux transporters ATP7A or ATP7B or their glutathione content. The 2008/JM118 cells exhibited 3.0-7.7-fold hypersensitivity to docetaxel, paclitaxel and doxorubicin. Expression profiling identified 4 genes that were significantly up-regulated and 19 that were down-regulated in the 2008/JM118 cells at a false discovery rate of 1 gene. CONCLUSIONS: While the cellular defense mechanisms that protect cells against JM118 also mediate resistance to the other Pt drugs, these mechanisms are quite different from those commonly found in cells selected for resistance to cisplatin. JM118-resistant cells accumulate more rather than less Pt and rely on an intracellular detoxification mechanism different from that involved in cisplatin resistance. This is consistent with clinical evidence suggesting that satraplatin has activity in diseases in which cisplatin does not. In this model, JM118 resistance is associated with substantial collateral hypersensitivity to docetaxel, paclitaxel, and doxorubicin.

Antineoplastic Agents↗

PubMed2005

Gene expression profiling to characterize anticancer drug sensitivity.

This chapter presents a protocol for using cDNA microarrays to acquire gene expression profiles that characterize anticancer drug sensitivity. The protocol includes steps for drug exposure, RNA isolation, preparation of fluorescently labeled samples, microarray hybridization, data processing, and data analysis. In addition to the detailed protocol, important experimental design issues are discussed, and some preliminary experiments are recommended.

Antineoplastic Agents↗

PubMed2004

cDNA microarray-based identification of genes and pathways associated with oxaliplatin resistance.

In order to identify genes whose expression is associated with resistance to the chemotherapeutic agent oxaliplatin, transcripts differentially expressed between an oxaliplatin sensitive and a stably resistant subline were compared in six independent replicates using Stanford cDNA microarrays for five cell lines. "Significance analysis of microarrays" (SAM) was used to identify genes whose expression was statistically significantly different in the sensitive versus resistant members of each cell line pair. The biochemical pathways of the Kyoto Encyclopedia of Genes and Genomes (KEGG) database were searched to identify those pathways in which the number of SAM-identified genes exceeded the number expected. This identified four pathways in which upregulated genes were significantly associated with resistance in two of the cell line pairs, and two pathways in which the association was found in three cell line pairs. The search also identified 12 pathways in which downregulated genes were associated with resistance in two cell line pairs and one pathway in which the association reached statistical significance in three cell line pairs. Pathways identified included the ribosome pathway, the Huntington's disease pathway that includes caspase 8, and the ATP synthesis pathways. Determination of the chromosomal location of each SAM-identified gene revealed several locales within which genes lay in close proximity, including three genes (APACD, IF-2, and REV1L) located on chromosome 2 that lie immediately adjacent to each other and were significantly upregulated in three of five cell line pairs. Biochemical pathway and chromosomal mapping of genes identified by SAM as differentially expressed in related cell line pairs points to mechanisms and chromosomal sites not previously suspected of association with the oxaliplatin-resistant phenotype.

Adenosine Triphosphate↗

PubMed2002

Using mRNA expression profiling to determine anticancer drug efficacy.

Pharmacogenomics is a fast-growing field of investigations that aims to further elucidate the inherited nature of interindividual differences in drug disposition and effects, with the ultimate goal of providing a stronger scientific basis for selecting the optimal drug therapy. Providing the right drug for the right patient is an important problem in the treatment of cancer. This is mainly due to the lack of information about the sensitivity of the tumor for a specific treatment modality, such as either chemotherapy or radiation treatment. This presentation highlights two approaches to identify responsiveness to treatment. Both approaches are based on the identification of expression profiles. The first approach concentrates on drug resistance and the second on the signaling pathways leading up to the death of the cell. Both approaches provide expression profiles; however, the more dynamic expression profiling as used to determine the signaling in damage cells promises to be a better determinant for the pharmacogenomic changes in expression profiles and, consequently, a potential better determinant for drug efficacy.

Antineoplastic Agents↗