Inferring structural variant cancer cell fraction

  • Cmero, M.
  • Yuan, K.
  • Ong, C.S.
  • Schröder, J.
  • Adams, D.J.
  • ... Shin, S.J.
  • 외 71명
Citations

SCOPUS

40

초록

We present SVclone, a computational method for inferring the cancer cell fraction of structural variant (SV) breakpoints from whole-genome sequencing data. SVclone accurately determines the variant allele frequencies of both SV breakends, then simultaneously estimates the cancer cell fraction and SV copy number. We assess performance using in silico mixtures of real samples, at known proportions, created from two clonal metastases from the same patient. We find that SVclone’s performance is comparable to single-nucleotide variant-based methods, despite having an order of magnitude fewer data points. As part of the Pan-Cancer Analysis of Whole Genomes (PCAWG) consortium, which aggregated whole-genome sequencing data from 2658 cancers across 38 tumour types, we use SVclone to reveal a subset of liver, ovarian and pancreatic cancers with subclonally enriched copy-number neutral rearrangements that show decreased overall survival. SVclone enables improved characterisation of SV intra-tumour heterogeneity. © 2020, The Author(s).

키워드

cancercellgenomenumerical methodperformance assessmentultrastructureArticlecancer cell fractioncell fractionationcomputer modelcopy number variationgene frequencygene rearrangementgenetic algorithmhumanliver cancermolecular cloningovary canceroverall survivalpancreas cancersingle nucleotide polymorphismSVclonewhole genome sequencingalgorithmbiologycomputer simulationcopy number variationfemalegeneticshuman genomeliver tumormaleneoplasmovary tumorpancreas tumorpathologyproceduresprostate tumorsensitivity and specificityAlgorithmsComputational BiologyComputer SimulationDNA Copy Number VariationsFemaleGene FrequencyGenome, HumanHumansLiver NeoplasmsMaleNeoplasmsOvarian NeoplasmsPancreatic NeoplasmsProstatic NeoplasmsSensitivity and SpecificityWhole Genome Sequencing
제목
Inferring structural variant cancer cell fraction
저자
Cmero, M.Yuan, K.Ong, C.S.Schröder, J.Adams, D.J.Anur, P.Beroukhim, R.Boutros, P.C.Bowtell, D.D.L.Campbell, P.J.Cao, S.Christie, E.L.Cun, Y.Dawson, K.J.Demeulemeester, J.Dentro, S.C.Deshwar, A.G.Donmez, N.Drews, R.M.Eils, R.Fan, Y.Fittall, M.W.Garsed, D.W.Gerstung, M.Getz, G.Gonzalez, S.Ha, G.Haase, K.Imielinski, M.Jerman, L.Ji, Y.Jolly, C.Kleinheinz, K.Lee, J.Lee-Six, H.Leshchiner, I.Livitz, D.Malikic, S.Martincorena, I.Mitchell, T.J.Morris, Q.D.Mustonen, V.Oesper, L.Peifer, M.Peto, M.Raphael, B.J.Rosebrock, D.Rubanova, Y.Sahinalp, S.C.Salcedo, A.Schlesner, M.Schumacher, S.E.Sengupta, S.Shi, R.Shin, S.J.Spellman, P.T.Spiro, O.Stein, L.D.Tarabichi, M.Van, Loo P.Vembu, S.Vázquez-García, I.Wang, W.Wedge, D.C.Wheeler, D.A.Wintersinger, J.A.Yang, T.-P.Yao, X.Yu, K.Zhu, H.Corcoran, N.M.Papenfuss, T.Hovens, C.M.Markowetz, F.Macintyre, G.PCAWG Evolution and Heterogeneity Working GroupPCAWG Consortium
DOI
10.1038/s41467-020-14351-8
발행일
2020
유형
Article
저널명
Nature Communications
11
1