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Lee, Semin
Computational Biology Lab.
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dc.citation.endPage 527 -
dc.citation.number 2 -
dc.citation.startPage 515 -
dc.citation.title CELL REPORTS -
dc.citation.volume 24 -
dc.contributor.author Zhang, Yiqun -
dc.contributor.author Yang, Lixing -
dc.contributor.author Kucherlapati, Melanie -
dc.contributor.author Chen, Fengju -
dc.contributor.author Hadjipanayis, Angela -
dc.contributor.author Pantazi, Angeliki -
dc.contributor.author Bristow, Christopher A. -
dc.contributor.author Lee, Eunjung A. -
dc.contributor.author Mahadeshwar, Harshad S. -
dc.contributor.author Tang, Jiabin -
dc.contributor.author Zhang, Jianhua -
dc.contributor.author Seth, Sahil -
dc.contributor.author Lee, Semin -
dc.contributor.author Ren, Xiaojia -
dc.contributor.author Song, Xingzhi -
dc.contributor.author Sun, Huandong -
dc.contributor.author Seidman, Jonathan -
dc.contributor.author Luquette, Lovelace J. -
dc.contributor.author Xi, Ruibin -
dc.contributor.author Chin, Lynda -
dc.contributor.author Protopopov, Alexei -
dc.contributor.author Li, Wei -
dc.contributor.author Park, Peter J. -
dc.contributor.author Kucherlapati, Raju -
dc.contributor.author Creighton, Chad J. -
dc.date.accessioned 2023-12-21T20:37:47Z -
dc.date.available 2023-12-21T20:37:47Z -
dc.date.created 2018-07-23 -
dc.date.issued 2018-07 -
dc.description.abstract A systematic cataloging of genes affected by genomic rearrangement, using multiple patient cohorts and cancer types, can provide insight into cancer-relevant alterations outside of exomes. By integrative analysis of whole-genome sequencing (predominantly low pass) and gene expression data from 1,448 cancers involving 18 histopathological types in The Cancer Genome Atlas, we identified hundreds of genes for which the nearby presence (within 100 kb) of a somatic structural variant (SV) breakpoint is associated with altered expression. While genomic rearrangements are associated with widespread copy-number alteration (CNA) patterns, approximately 1,100 genes—including overexpressed cancer driver genes (e.g., TERT, ERBB2, CDK12, CDK4) and underexpressed tumor suppressors (e.g., TP53, RB1, PTEN, STK11)—show SV-associated deregulation independent of CNA. SVs associated with the disruption of topologically associated domains, enhancer hijacking, or fusion transcripts are implicated in gene upregulation. For cancer-relevant pathways, SVs considerably expand our understanding of how genes are affected beyond point mutation or CNA. -
dc.identifier.bibliographicCitation CELL REPORTS, v.24, no.2, pp.515 - 527 -
dc.identifier.doi 10.1016/j.celrep.2018.06.025 -
dc.identifier.issn 2211-1247 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/24423 -
dc.identifier.url https://www.sciencedirect.com/science/article/pii/S2211124718309203?via%3Dihub -
dc.identifier.wosid 000438422700023 -
dc.language 영어 -
dc.publisher CELL PRESS -
dc.title A Pan-Cancer Compendium of Genes Deregulated by Somatic Genomic Rearrangement across More Than 1,400 Cases -
dc.type Article -
dc.description.isOpenAccess FALSE -
dc.description.journalRegisteredClass scie -
dc.description.journalRegisteredClass scopus -

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