Rei Noguchi, Yuki Yoshimatsu, T. Ono, Akane Sei, T. Kondo
{"title":"不同原发部位骨肉瘤药物靶点的蛋白质基因组学研究","authors":"Rei Noguchi, Yuki Yoshimatsu, T. Ono, Akane Sei, T. Kondo","doi":"10.2198/JELECTROPH.65.1","DOIUrl":null,"url":null,"abstract":"Regulation of kinase activity plays a crucial role in carcinogenesis and cancer progression. Mutations in the activity domain of kinases are extensively investigated as therapeutic targets. We examined anti-proliferative anti-cancer drugs and drug targets via the multi-omics approach: (i) comprehensive kinase activity assay, (ii) high-throughput drug screening, and (iii) genomic sequencing. Two osteosarcomas cell lines, NCC-OS1-C1 and NCC-ESOS1-C1 derived from bone and soft tissue respectively, were used. Genetic alterations were examined by NCC Oncopanel based on the next-generation sequencing technology and SNP array. One hundred kinases were monitored by the PamStation 12, an in vitro kinase assay. The anti-proliferative effects of 214 FDA-approved anti-cancer drugs were examined. Mutation of PIK3CA and deletion of CDKN2A were identified in NCC-ESOS1-C1 and druggable genetic alterations were not identified in the NCC-OS1-C1. PI3K-AKT pathway or CDKN2A inhibitors did not show significant effects on these cell lines. Comprehensive kinomic assay revealed no remarkable differences on these osteosarcoma cells (R2=0.99). The two cells shared similar kinase activity profiles for FES, FER, PDGFR-β, VEGFR2, and Wee1. Anti-proliferative effects of anti-cancer drugs on NCC-OS1-C1 and NCC-ESOS1 cells showed remarkable differences. Significant responses to romidepsin and trabectedin were observed for both. Eribulin was effective on NCCOS1-C1; ifosfamide and dacarbazine were effective on NCC-ESOS1-C1 only. Hence, investigating kinase activities and genetic alterations will lead to predict the effects of kinase inhibitors. The different status of kinase mutations, activities, and response to inhibitors should be integrated. Multi-omics experiments and data integration are crucial in understanding cancer progression and developing novel therapies.","PeriodicalId":15059,"journal":{"name":"Journal of capillary electrophoresis","volume":"23 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Proteogenomic approach to drug targets in osteosarcomas with different original sites\",\"authors\":\"Rei Noguchi, Yuki Yoshimatsu, T. Ono, Akane Sei, T. Kondo\",\"doi\":\"10.2198/JELECTROPH.65.1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Regulation of kinase activity plays a crucial role in carcinogenesis and cancer progression. Mutations in the activity domain of kinases are extensively investigated as therapeutic targets. We examined anti-proliferative anti-cancer drugs and drug targets via the multi-omics approach: (i) comprehensive kinase activity assay, (ii) high-throughput drug screening, and (iii) genomic sequencing. Two osteosarcomas cell lines, NCC-OS1-C1 and NCC-ESOS1-C1 derived from bone and soft tissue respectively, were used. Genetic alterations were examined by NCC Oncopanel based on the next-generation sequencing technology and SNP array. One hundred kinases were monitored by the PamStation 12, an in vitro kinase assay. The anti-proliferative effects of 214 FDA-approved anti-cancer drugs were examined. Mutation of PIK3CA and deletion of CDKN2A were identified in NCC-ESOS1-C1 and druggable genetic alterations were not identified in the NCC-OS1-C1. PI3K-AKT pathway or CDKN2A inhibitors did not show significant effects on these cell lines. Comprehensive kinomic assay revealed no remarkable differences on these osteosarcoma cells (R2=0.99). The two cells shared similar kinase activity profiles for FES, FER, PDGFR-β, VEGFR2, and Wee1. Anti-proliferative effects of anti-cancer drugs on NCC-OS1-C1 and NCC-ESOS1 cells showed remarkable differences. Significant responses to romidepsin and trabectedin were observed for both. Eribulin was effective on NCCOS1-C1; ifosfamide and dacarbazine were effective on NCC-ESOS1-C1 only. Hence, investigating kinase activities and genetic alterations will lead to predict the effects of kinase inhibitors. The different status of kinase mutations, activities, and response to inhibitors should be integrated. 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Proteogenomic approach to drug targets in osteosarcomas with different original sites
Regulation of kinase activity plays a crucial role in carcinogenesis and cancer progression. Mutations in the activity domain of kinases are extensively investigated as therapeutic targets. We examined anti-proliferative anti-cancer drugs and drug targets via the multi-omics approach: (i) comprehensive kinase activity assay, (ii) high-throughput drug screening, and (iii) genomic sequencing. Two osteosarcomas cell lines, NCC-OS1-C1 and NCC-ESOS1-C1 derived from bone and soft tissue respectively, were used. Genetic alterations were examined by NCC Oncopanel based on the next-generation sequencing technology and SNP array. One hundred kinases were monitored by the PamStation 12, an in vitro kinase assay. The anti-proliferative effects of 214 FDA-approved anti-cancer drugs were examined. Mutation of PIK3CA and deletion of CDKN2A were identified in NCC-ESOS1-C1 and druggable genetic alterations were not identified in the NCC-OS1-C1. PI3K-AKT pathway or CDKN2A inhibitors did not show significant effects on these cell lines. Comprehensive kinomic assay revealed no remarkable differences on these osteosarcoma cells (R2=0.99). The two cells shared similar kinase activity profiles for FES, FER, PDGFR-β, VEGFR2, and Wee1. Anti-proliferative effects of anti-cancer drugs on NCC-OS1-C1 and NCC-ESOS1 cells showed remarkable differences. Significant responses to romidepsin and trabectedin were observed for both. Eribulin was effective on NCCOS1-C1; ifosfamide and dacarbazine were effective on NCC-ESOS1-C1 only. Hence, investigating kinase activities and genetic alterations will lead to predict the effects of kinase inhibitors. The different status of kinase mutations, activities, and response to inhibitors should be integrated. Multi-omics experiments and data integration are crucial in understanding cancer progression and developing novel therapies.