乐胖代购免代理版

{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,3,1]],"date-time":"2024-03-01T20:32:00Z","timestamp":1709325120654},"reference-count":39,"publisher":"Oxford University Press (OUP)","issue":"14","license":[{"start":{"date-parts":[[2016,11,7]],"date-time":"2016-11-07T00:00:00Z","timestamp":1478476800000},"content-version":"vor","delay-in-days":959,"URL":"http:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2014,7,15]]},"abstract":"Abstract<\/jats:title>\n Motivation: Somatic homozygous deletions of chromosomal regions in cancer, while not necessarily oncogenic, may lead to therapeutic vulnerabilities specific to cancer cells compared with normal cells. A recently reported example is the loss of one of the two isoenzymes in glioblastoma cancer cells such that the use of a specific inhibitor selectively inhibited growth of the cancer cells, which had become fully dependent on the second isoenzyme. We have now made use of the unprecedented conjunction of large-scale cancer genomics profiling of tumor samples in The Cancer Genome Atlas (TCGA) and of tumor-derived cell lines in the Cancer Cell Line Encyclopedia, as well as the availability of integrated pathway information systems, such as Pathway Commons, to systematically search for a comprehensive set of such epistatic vulnerabilities.<\/jats:p>\n Results: Based on homozygous deletions affecting metabolic enzymes in 16 TCGA cancer studies and 972 cancer cell lines, we identified 4104 candidate metabolic vulnerabilities present in 1019 tumor samples and 482 cell lines. Up to 44% of these vulnerabilities can be targeted with at least one Food and Drug Administration-approved drug. We suggest focused experiments to test these vulnerabilities and clinical trials based on personalized genomic profiles of those that pass preclinical filters. We conclude that genomic profiling will in the future provide a promising basis for network pharmacology of epistatic vulnerabilities as a promising therapeutic strategy.<\/jats:p>\n Availability and implementation : A web-based tool for exploring all vulnerabilities and their details is available at http:\/\/cbio.mskcc.org\/cancergenomics\/statius\/ along with supplemental data files.<\/jats:p>\n Contact : statius@cbio.mskcc.org<\/jats:p>\n Supplementary information: \u00a0Supplementary data are available at Bioinformatics online.<\/jats:p>","DOI":"10.1093\/bioinformatics\/btu164","type":"journal-article","created":{"date-parts":[[2014,3,25]],"date-time":"2014-03-25T04:53:46Z","timestamp":1395723226000},"page":"2051-2059","source":"Crossref","is-referenced-by-count":28,"title":["Prediction of individualized therapeutic vulnerabilities in cancer from genomic profiles"],"prefix":"10.1093","volume":"30","author":[{"given":"B\u00fclent Arman","family":"Aksoy","sequence":"first","affiliation":[{"name":"1 Computational Biology Center, Memorial Sloan-Kettering Cancer Center, New York, NY 10065 and 2 Tri-Institutional Training Program in Computational Biology & Medicine, New York, NY 10065, USA"},{"name":"1 Computational Biology Center, Memorial Sloan-Kettering Cancer Center, New York, NY 10065 and 2 Tri-Institutional Training Program in Computational Biology & Medicine, New York, NY 10065, USA"}]},{"given":"Emek","family":"Demir","sequence":"additional","affiliation":[{"name":"1 Computational Biology Center, Memorial Sloan-Kettering Cancer Center, New York, NY 10065 and 2 Tri-Institutional Training Program in Computational Biology & Medicine, New York, NY 10065, USA"}]},{"given":"\u00d6zg\u00fcn","family":"Babur","sequence":"additional","affiliation":[{"name":"1 Computational Biology Center, Memorial Sloan-Kettering Cancer Center, New York, NY 10065 and 2 Tri-Institutional Training Program in Computational Biology & Medicine, New York, NY 10065, USA"}]},{"given":"Weiqing","family":"Wang","sequence":"additional","affiliation":[{"name":"1 Computational Biology Center, Memorial Sloan-Kettering Cancer Center, New York, NY 10065 and 2 Tri-Institutional Training Program in Computational Biology & Medicine, New York, NY 10065, USA"}]},{"given":"Xiaohong","family":"Jing","sequence":"additional","affiliation":[{"name":"1 Computational Biology Center, Memorial Sloan-Kettering Cancer Center, New York, NY 10065 and 2 Tri-Institutional Training Program in Computational Biology & Medicine, New York, NY 10065, USA"}]},{"given":"Nikolaus","family":"Schultz","sequence":"additional","affiliation":[{"name":"1 Computational Biology Center, Memorial Sloan-Kettering Cancer Center, New York, NY 10065 and 2 Tri-Institutional Training Program in Computational Biology & Medicine, New York, NY 10065, USA"}]},{"given":"Chris","family":"Sander","sequence":"additional","affiliation":[{"name":"1 Computational Biology Center, Memorial Sloan-Kettering Cancer Center, New York, NY 10065 and 2 Tri-Institutional Training Program in Computational Biology & Medicine, New York, NY 10065, USA"}]}],"member":"286","published-online":{"date-parts":[[2014,3,24]]},"reference":[{"key":"2023012711243770200_btu164-B1","doi-asserted-by":"crossref","first-page":"2","DOI":"10.1093\/bioinformatics\/btt345","article-title":"PiHelper: an open source framework for drug-target and antibody-target data","volume":"29","author":"Aksoy","year":"2013","journal-title":"Bioinformatics (Oxford, England)"},{"key":"2023012711243770200_btu164-B2","first-page":"429","article-title":"ChiBE: interactive visualization and manipulation of BioPAX pathway models","volume":"26","author":"Babur","year":"2010","journal-title":"Bioinformatics (Oxford, England)"},{"key":"2023012711243770200_btu164-B3","doi-asserted-by":"crossref","first-page":"715","DOI":"10.1038\/ng.619","article-title":"Subtype-specific genomic alterations define new targets for soft-tissue sarcoma therapy","volume":"42","author":"Barretina","year":"2010","journal-title":"Nat. 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