{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,13]],"date-time":"2026-05-13T01:22:04Z","timestamp":1778635324005,"version":"3.51.4"},"reference-count":46,"publisher":"Oxford University Press (OUP)","issue":"9","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2013,5,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Summary: Gene fusions are being discovered at an increasing rate using massively parallel sequencing technologies. Prioritization of cancer fusion drivers for validation cannot be performed using traditional single-gene based methods because fusions involve portions of two partner genes. To address this problem, we propose a novel network analysis method called fusion centrality that is specifically tailored for prioritizing gene fusions. We first propose a domain-based fusion model built on the theory of exon\/domain shuffling. The model leads to a hypothesis that a fusion is more likely to be an oncogenic driver if its partner genes act like hubs in a network because the fusion mutation can deregulate normal functions of many other genes and their pathways. The hypothesis is supported by the observation that for most known cancer fusion genes, at least one of the fusion partners appears to be a hub in a network, and even for many fusions both partners appear to be hubs. Based on this model, we construct fusion centrality, a multi-gene-based network metric, and use it to score fusion drivers. We show that the fusion centrality outperforms other single gene-based methods. Specifically, the method successfully predicts most of 38 newly discovered fusions that had validated oncogenic importance. To our best knowledge, this is the first network-based approach for identifying fusion drivers.<\/jats:p>\n               <jats:p>Availability: Matlab code implementing the fusion centrality method is available upon request from the corresponding authors.<\/jats:p>\n               <jats:p>Contact: \u00a0perwu777@gmail.com<\/jats:p>\n               <jats:p>Supplementary information: \u00a0Supplementary data are available at Bioinformatics online.<\/jats:p>","DOI":"10.1093\/bioinformatics\/btt131","type":"journal-article","created":{"date-parts":[[2013,3,17]],"date-time":"2013-03-17T00:54:39Z","timestamp":1363481679000},"page":"1174-1181","source":"Crossref","is-referenced-by-count":23,"title":["Identification of cancer fusion drivers using network fusion centrality"],"prefix":"10.1093","volume":"29","author":[{"given":"Chia-Chin","family":"Wu","sequence":"first","affiliation":[{"name":"1 Department of Genomic Medicine, UT MD Anderson Cancer Center, 2Bioinformatics Research Laboratory, 3Department of Molecular and Human Genetics, 4Department of Pathology and Immunology, Baylor College of Medicine and 5Department of Radiation Oncology, UT MD Anderson Cancer Center, Houston, TX 77030, USA"},{"name":"1 Department of Genomic Medicine, UT MD Anderson Cancer Center, 2Bioinformatics Research Laboratory, 3Department of Molecular and Human Genetics, 4Department of Pathology and Immunology, Baylor College of Medicine and 5Department of Radiation Oncology, UT MD Anderson Cancer Center, Houston, TX 77030, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kalpana","family":"Kannan","sequence":"additional","affiliation":[{"name":"1 Department of Genomic Medicine, UT MD Anderson Cancer Center, 2Bioinformatics Research Laboratory, 3Department of Molecular and Human Genetics, 4Department of Pathology and Immunology, Baylor College of Medicine and 5Department of Radiation Oncology, UT MD Anderson Cancer Center, Houston, TX 77030, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Steven","family":"Lin","sequence":"additional","affiliation":[{"name":"1 Department of Genomic Medicine, UT MD Anderson Cancer Center, 2Bioinformatics Research Laboratory, 3Department of Molecular and Human Genetics, 4Department of Pathology and Immunology, Baylor College of Medicine and 5Department of Radiation Oncology, UT MD Anderson Cancer Center, Houston, TX 77030, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Laising","family":"Yen","sequence":"additional","affiliation":[{"name":"1 Department of Genomic Medicine, UT MD Anderson Cancer Center, 2Bioinformatics Research Laboratory, 3Department of Molecular and Human Genetics, 4Department of Pathology and Immunology, Baylor College of Medicine and 5Department of Radiation Oncology, UT MD Anderson Cancer Center, Houston, TX 77030, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Aleksandar","family":"Milosavljevic","sequence":"additional","affiliation":[{"name":"1 Department of Genomic Medicine, UT MD Anderson Cancer Center, 2Bioinformatics Research Laboratory, 3Department of Molecular and Human Genetics, 4Department of Pathology and Immunology, Baylor College of Medicine and 5Department of Radiation Oncology, UT MD Anderson Cancer Center, Houston, TX 77030, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2013,3,16]]},"reference":[{"key":"2023012810374405300_btt131-B1","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1016\/0165-4608(84)90003-7","article-title":"Translocation involving chromosome 22 in Ewing\u2019s sarcoma: a cytogenetic study of four fresh tumors","volume":"12","author":"Aurias","year":"1984","journal-title":"Cancer Genet. 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