{"title":"Identification of COX17 as a therapeutic target for non-small cell lung cancer.","authors":"Chie Suzuki, Yataro Daigo, Takefumi Kikuchi, Toyomasa Katagiri, Yusuke Nakamura","doi":"","DOIUrl":null,"url":null,"abstract":"<p><p>We have been investigating gene expression profiles in non-small cell lung cancers (NSCLCs) to identify molecules involved in pulmonary carcinogenesis and select which genes or gene products might be useful as diagnostic markers or targets for new molecular therapies. Here we report evidence that the cytochrome c oxidase (CCO) assembly protein COX17 is a potential molecular target for treatment of lung cancers. By semiquantitative reverse transcription-PCR, we documented increased expression of COX17 in all of 8 primary NSCLCs and in 11 of 15 NSCLC cell lines examined, by comparison with normal lung tissue. Treatment of NSCLC cells with antisense S-oligonucleotides or vector-based small interfering RNAs of COX17 suppressed expression of COX17 and also the activity of CCO, and suppressed growth of the cancer cells. Because our data imply that up-regulation of COX17 function and increased CCO activity are frequent features of lung carcinogenesis, we suggest that selective suppression of components of the CCO complex might hold promise for development of a new strategy for treating lung cancers.</p>","PeriodicalId":9441,"journal":{"name":"Cancer research","volume":"63 21","pages":"7038-41"},"PeriodicalIF":16.6000,"publicationDate":"2003-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cancer research","FirstCategoryId":"3","ListUrlMain":"","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ONCOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
We have been investigating gene expression profiles in non-small cell lung cancers (NSCLCs) to identify molecules involved in pulmonary carcinogenesis and select which genes or gene products might be useful as diagnostic markers or targets for new molecular therapies. Here we report evidence that the cytochrome c oxidase (CCO) assembly protein COX17 is a potential molecular target for treatment of lung cancers. By semiquantitative reverse transcription-PCR, we documented increased expression of COX17 in all of 8 primary NSCLCs and in 11 of 15 NSCLC cell lines examined, by comparison with normal lung tissue. Treatment of NSCLC cells with antisense S-oligonucleotides or vector-based small interfering RNAs of COX17 suppressed expression of COX17 and also the activity of CCO, and suppressed growth of the cancer cells. Because our data imply that up-regulation of COX17 function and increased CCO activity are frequent features of lung carcinogenesis, we suggest that selective suppression of components of the CCO complex might hold promise for development of a new strategy for treating lung cancers.
期刊介绍:
Cancer Research, published by the American Association for Cancer Research (AACR), is a journal that focuses on impactful original studies, reviews, and opinion pieces relevant to the broad cancer research community. Manuscripts that present conceptual or technological advances leading to insights into cancer biology are particularly sought after. The journal also places emphasis on convergence science, which involves bridging multiple distinct areas of cancer research.
With primary subsections including Cancer Biology, Cancer Immunology, Cancer Metabolism and Molecular Mechanisms, Translational Cancer Biology, Cancer Landscapes, and Convergence Science, Cancer Research has a comprehensive scope. It is published twice a month and has one volume per year, with a print ISSN of 0008-5472 and an online ISSN of 1538-7445.
Cancer Research is abstracted and/or indexed in various databases and platforms, including BIOSIS Previews (R) Database, MEDLINE, Current Contents/Life Sciences, Current Contents/Clinical Medicine, Science Citation Index, Scopus, and Web of Science.