Biomedical subjects

Kanami Yamazaki

Publications and source records attributed to Kanami Yamazaki.

7 recordsLinked to original sources

PubMed2006

Antitumor activity of ZSTK474, a new phosphatidylinositol 3-kinase inhibitor.

BACKGROUND: We previously synthesized a novel s-triazine derivative, ZSTK474 [2-(2-difluoromethylbenzimidazol-1-yl)-4,6-dimorpholino-1,3,5-triazine], that strongly inhibited the growth of tumor cells. We identified its molecular target, investigated its effects on cellular signaling pathways, and examined its antitumor efficacy and toxicity in vivo. METHODS: We used COMPARE analysis of chemosensitivity measurements from 39 human cancer cell lines and identified phosphatidylinositol 3-kinase (PI3K) as a molecular target for ZSTK474. PI3K was immunoprecipitated from A549 cell lysates, and its activity was measured by assessing the incorporation of 32P into phosphatidylinositol. We used the crystal structure of the PI3K-LY294002 complex to model the binding of ZSTK474 to PI3K (where LY294002 is a known PI3K inhibitor). PI3K downstream activity was analyzed by immunoblotting. Antitumor activity of ZSTK474 was examined against A549, PC-3, and WiDr xenografts in nude mice. Phosphorylation of Akt, a serine/threonine protein kinase and a major signaling component downstream of PI3K, was assessed in vivo by immunohistochemistry. RESULTS: PI3K was identified as a molecular target for ZSTK474 by COMPARE analysis. We confirmed that ZSTK474 directly inhibited PI3K activity more efficiently than the PI3K inhibitor LY294002. At concentrations of 1 microM, ZSTK474 and LY2194002 reduced PI3K activity to 4.7% (95% confidence interval [CI] = 3.2% to 6.1%) and 44.6% (95% CI = 38.9% to 50.3%), respectively, of the untreated control level. Molecular modeling of the PI3K-ZSTK474 complex indicated that ZSTK474 could bind to the ATP-binding pocket of PI3K. ZSTK474 inhibited phosphorylation of signaling components downstream from PI3K, such as Akt and glycogen synthase kinase 3beta, and mediated a decrease in cyclin D1 levels. ZSTK474 administered orally to mice had strong antitumor activity against human cancer xenografts without toxic effects in critical organs. Akt phosphorylation was reduced in xenograft tumors after oral administration of ZSTK474. CONCLUSION: ZSTK474 is a new PI3K inhibitor with strong antitumor activity against human cancer xenografts without toxic effects in critical organs. ZSTK474 merits further investigation as an anticancer drug.

Androstadienes↗

PubMed2005

p53-defective tumors with a functional apoptosome-mediated pathway: a new therapeutic target.

BACKGROUND: Although cancer cells appear to maintain the machinery for intrinsic apoptosis, defects in the pathway develop during malignant transformation, preventing apoptosis from occurring. How to specifically induce apoptosis in cancer cells remains unclear. METHODS: We determined the apoptosome activity and p53 status of normal human cells and of lung, colon, stomach, brain, and breast cancer cells by measuring cytochrome c-dependent caspase activation and by DNA sequencing, respectively, and we used COMPARE analysis to identify apoptosome-specific agonists. We compared cell death, cytochrome c release, and caspase activation in NCI-H23 (lung cancer), HCT-15 (colon cancer), and SF268 (brain cancer) cells treated with Triacsin c, an inhibitor of acyl-CoA synthetase (ACS), or with vehicle. The cells were mock, transiently, or stably transfected with genes for Triacsin c-resistant ACSL5, dominant negative caspase-9, or apoptotic protease activating factor-1 knockdown. We measured ACS activity and levels of cardiolipin, a mitochondrial phospholipid, in mock and ACSL5-transduced SF268 cells. Nude mice carrying NCI-H23 xenograft tumors (n = 10) were treated with Triacsin c or vehicle, and xenograft tumor growth was assessed. Groups were compared using two-sided Student t tests. RESULTS: Of 21 p53-defective tumor cell lines analyzed, 17 had higher apoptosome activity than did normal cells. Triacsin c selectively induced apoptosome-mediated death in tumor cells (caspase activity of Triacsin c-treated versus untreated SF268 cells; means = 1020% and 100%, respectively; difference = 920%, 95% CI = 900% to 940%; P<.001). Expression of ACSL5 suppressed Triacsin c-induced cytochrome c release and subsequent cell death (cell survival of Triacsin c-treated mock- versus ACSL5-transduced SF268 cells; means = 40% and 83%, respectively; difference = 43%, 95% CI = 39% to 47%; P<.001). ACS was also essential to the maintenance of cardiolipin levels. Finally, Triacsin c suppressed growth of xenograft tumors (relative tumor volume on day 21 of Triacsin c-treated versus untreated mice; means = 4.6 and 9.6, respectively; difference = 5.0, 95% CI = 2.1 to 7.9; P = .006). CONCLUSIONS: Many p53-defective tumors retain activity of the apoptosome, which is therefore a potential target for cancer chemotherapy. Inhibition of ACS may be a novel strategy to induce the death of p53-defective tumor cells.

Animals↗

PubMed2005

Chemosensitivity profile of cancer cell lines and identification of genes determining chemosensitivity by an integrated bioinformatical approach using cDNA arrays.

We have established a panel of 45 human cancer cell lines (JFCR-45) to explore genes that determine the chemosensitivity of these cell lines to anticancer drugs. JFCR-45 comprises cancer cell lines derived from tumors of three different organs: breast, liver, and stomach. The inclusion of cell lines derived from gastric and hepatic cancers is a major point of novelty of this study. We determined the concentration of 53 anticancer drugs that could induce 50% growth inhibition (GI50) in each cell line. Cluster analysis using the GI50s indicated that JFCR-45 could allow classification of the drugs based on their modes of action, which coincides with previous findings in NCI-60 and JFCR-39. We next investigated gene expression in JFCR-45 and developed an integrated database of chemosensitivity and gene expression in this panel of cell lines. We applied a correlation analysis between gene expression profiles and chemosensitivity profiles, which revealed many candidate genes related to the sensitivity of cancer cells to anticancer drugs. To identify genes that directly determine chemosensitivity, we further tested the ability of these candidate genes to alter sensitivity to anticancer drugs after individually overexpressing each gene in human fibrosarcoma HT1080. We observed that transfection of HT1080 cells with the HSPA1A and JUN genes actually enhanced the sensitivity to mitomycin C, suggesting the direct participation of these genes in mitomycin C sensitivity. These results suggest that an integrated bioinformatical approach using chemosensitivity and gene expression profiling is useful for the identification of genes determining chemosensitivity of cancer cells.

Antineoplastic Agents↗

PubMed2004

Synthesis of functional proteins by mixing peptide motifs.

Here, we describe a synthetic approach for generating artificial proteins by the assemblage of naturally occurring peptide motifs. Two motifs respectively related to apoptosis induction and protein transduction were encrypted into different reading frames of an artificial gene (microgene), which was then polymerized; random frame shifts at the junctions between the microgene units yielded combinatorial polymers of three reading frames. Among the proteins created, #284 was found to penetrate through cell membranes and exert a strong apoptotic effect on several cancer cell lines. Because a simple linkage of these motifs was not sufficient to construct a bifunctional peptide, and the successful reconstitution was dependent on how they were joined together, the combinatorial strategy is important for reconstituting functions from mixtures of motifs. This microgene-based approach represents a novel system for creating proteins with desired functions.

Amino Acid Motifs↗

PubMed2003

Identification of candidate predictive markers of anticancer drug sensitivity using a panel of human cancer cell lines.

We previously investigated the correlations between the expression of 9216 genes and various chemosensitivities in a panel of 39 human cancer cell lines(1)) and found that the expression levels of AKR1B1 and CTSH were correlated with sensitivity and resistance to multiple drugs, respectively. To validate these correlations, we investigated the expression of these two genes and the chemosensitivities in 12 additional gastric cancer cell lines. The expression of AKR1B1 in the additional cell lines exhibited significant correlations with sensitivities to 8 of the 23 drugs examined, while that of CTSH displayed a significant negative correlation with only one (MS-247) of the 27 drugs examined. Their expressions were weakly correlated with sensitivity and resistance, respectively, to the remainder of the drugs. Moreover, when the 12 cell lines were divided into high-expressing and low-expressing groups, a comparison of these groups using Mann-Whitney's U test revealed that high expression levels of AKR1B1 and CTSH were related to sensitivity to 21 of the drugs and resistance to 8 of the drugs, respectively. The present results suggest that AKR1B1 and CTSH may be good markers for prediction of sensitivity to certain drugs and that our panel of 39 cell lines has the potential to identify candidate predictive marker genes.

Aged↗

PubMed2002

Array-based structure and gene expression relationship study of antitumor sulfonamides including N-[2-[(4-hydroxyphenyl)amino]-3-pyridinyl]-4-methoxybenzenesulfonamide and N-(3-chloro-7-indolyl)-1,4-benzenedisulfonamide.

Compounds from sulfonamide-focused libraries have been evaluated in cell-based antitumor screens using the COMPARE analysis with a panel of 39 human cancer cell lines and flow cytometric cell cycle analysis. Thus far, 2 (N-[2-[(4-hydroxyphenyl)amino]-3-pyridinyl]-4-methoxybenzenesulfonamide (E7010)) and 3 (N-(3-chloro-7-indolyl)-1,4-benzenedisulfonamide (E7070)) have been selected from the collections as potent cell cycle inhibitors, which have progressed to clinical trials. Compound 2 is an orally active antimitotic agent disrupting tubulin polymerization, whereas compound 3 belongs to a novel class of antiproliferative agents causing a decrease in the S phase fraction along with G1 and/or G2 accumulation in various cancer cell lines. Because both compounds exhibited preliminary clinical activities in the phase I setting, we decided to examine further this series of oncolytic small molecules, particularly by using high-density oligonucleotide microarray analysis. The array data have enabled us to characterize these two classes of antitumor sulfonamides on the basis of gene expression changes, illuminating the essential pharmacophore structure and drug-sensitive cellular pathways for each class. Moreover, the dual character of 5 (N-(3-chloro-7-indolyl)-4-methoxybenzenesulfonamide (ER-67880)), resembling both 2 and 3, was revealed by array-based transcription profiling, though the 3-type profile of this molecule had not been apparent in the cell-based phenotypic screens. These results provide an example of the utility of structure and gene expression relationship studies in medicinal genomics.

Algorithms↗

PubMed2002

An integrated database of chemosensitivity to 55 anticancer drugs and gene expression profiles of 39 human cancer cell lines.

To explore genes that determine the sensitivity of cancer cells to anticancer drugs, we investigated using cDNA microarrays the expression of 9216 genes in 39 human cancer cell lines pharmacologically characterized on treatment with various anticancer drugs. A bioinformatical approach was then exploited to identify genes related to anticancer drug sensitivity. An integrated database of gene expression and drug sensitivity profiles was constructed and used to identify genes with expression patterns that showed significant correlation to patterns of drug responsiveness. As a result, sets of genes were extracted for each of the 55 anticancer drugs examined. Whereas some genes commonly correlated with various classes of anticancer drugs, other genes correlated only with specific drugs with similar mechanisms of action. This latter group of genes may reflect the efficacy of each class of drugs. Therefore, the integrated database approach of gene expression and chemosensitivity profiles may be useful in the development of systems to predict drug efficacies of cancer cells by examining the expression levels of particular genes.

Antineoplastic Agents↗