Distinct Classes of Complex Structural Variation Uncovered across Thousands of Cancer Genome Graphs.
Distinct Classes of Complex Structural Variation Uncovered across Thousands of Cancer Genome Graphs.
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DOI:
10.1016/j.cell.2020.08.006
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发表时间:
2020-10-01
期刊:
影响因子:
64.5
通讯作者:
Imielinski M
中科院分区:
文献类型:
--
作者:
Hadi K;Yao X;Behr JM;Deshpande A;Xanthopoulakis C;Tian H;Kudman S;Rosiene J;Darmofal M;DeRose J;Mortensen R;Adney EM;Shaiber A;Gajic Z;Sigouros M;Eng K;Wala JA;Wrzeszczyński KO;Arora K;Shah M;Emde AK;Felice V;Frank MO;Darnell RB;Ghandi M;Huang F;Dewhurst S;Maciejowski J;de Lange T;Setton J;Riaz N;Reis-Filho JS;Powell S;Knowles DA;Reznik E;Mishra B;Beroukhim R;Zody MC;Robine N;Oman KM;Sanchez CA;Kuhner MK;Smith LP;Galipeau PC;Paulson TG;Reid BJ;Li X;Wilkes D;Sboner A;Mosquera JM;Elemento O;Imielinski M
Cancer genomes often harbor hundreds of somatic DNA rearrangement junctions, many of which cannot be easily classified into simple (e.g. deletion) or complex (e.g. chromothripsis) structural variant classes. Applying a novel genome graph computational paradigm to analyze the topology of junction copy number (JCN) across 2,778 tumor whole genome sequences, we uncovered three novel complex rearrangement phenomena: pyrgo, rigma, and tyfonas. Pyrgo are “towers” of low-JCN duplications associated with early replicating regions and superenhancers, enriched in breast and ovarian cancers. Rigma comprise “chasms” of low-JCN deletions at late-replicating fragile sites, enriched in gastrointestinal carcinomas. Tyfonas are “typhoons” of high-JCN junctions and fold-back inversions enriched in expressed protein-coding fusions and breakend hypermutation, frequently found in acral, but not cutaneous, melanomas. Clustering of tumors according to genome graph-derived features identified subgroups associated with DNA repair defects and poor prognosis.
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DOI:
10.1093/annonc/mdu479
发表时间:
2015-01
期刊:
Annals of oncology : official journal of the European Society for Medical Oncology
影响因子:
--
作者:
Favero F;Joshi T;Marquard AM;Birkbak NJ;Krzystanek M;Li Q;Szallasi Z;Eklund AC
通讯作者:
Eklund AC
影响因子:
64.8
作者:
通讯作者:
--
影响因子:
7
作者:
Ha G;Roth A;Lai D;Bashashati A;Ding J;Goya R;Giuliany R;Rosner J;Oloumi A;Shumansky K;Chin SF;Turashvili G;Hirst M;Caldas C;Marra MA;Aparicio S;Shah SP
通讯作者:
Shah SP
影响因子:
64.8
作者:
通讯作者:
--
影响因子:
64.5
作者:
Hnisz D;Abraham BJ;Lee TI;Lau A;Saint-André V;Sigova AA;Hoke HA;Young RA
通讯作者:
Young RA