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dc.contributorVall d'Hebron Barcelona Hospital Campus
dc.contributor.authorGao, Meiling
dc.contributor.authorCallari, Maurizio
dc.contributor.authorBeddowes, Emma
dc.contributor.authorSammut, Stephen-John
dc.contributor.authorGrzelak, Marta
dc.contributor.authorBiggs, Heather
dc.contributor.authorCortés Castan, Javier
dc.contributor.authorAntunes de Melo Oliveira, Ana Mafalda
dc.date.accessioned2019-02-28T12:02:23Z
dc.date.available2019-02-28T12:02:23Z
dc.date.issued2019-01-04
dc.identifier.citationGao M, Callari M, Beddowes E, Sammut S-J, Grzelak M, Biggs H, et al. Next Generation-Targeted Amplicon Sequencing (NG-TAS): an optimised protocol and computational pipeline for cost-effective profiling of circulating tumour DNA. Genome Med. 2019;11(1):1.
dc.identifier.issn1756-994X
dc.identifier.urihttps://hdl.handle.net/11351/3820
dc.descriptionCancer; Computational pipeline; Deep sequencing
dc.description.abstractCirculating tumour DNA (ctDNA) detection and monitoring have enormous potential clinical utility in oncology. We describe here a fast, flexible and cost-effective method to profile multiple genes simultaneously in low input cell-free DNA (cfDNA): Next Generation-Targeted Amplicon Sequencing (NG-TAS). We designed a panel of 377 amplicons spanning 20 cancer genes and tested the NG-TAS pipeline using cell-free DNA from two HapMap lymphoblastoid cell lines. NG-TAS consistently detected mutations in cfDNA when mutation allele fraction was > 1%. We applied NG-TAS to a clinical cohort of metastatic breast cancer patients, demonstrating its potential in monitoring the disease. The computational pipeline is available at https://github.com/cclab-brca/NGTAS_pipeline
dc.language.isoeng
dc.publisherBMC
dc.relation.ispartofseriesGenome Medicine;11(1)
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.sourceScientia
dc.subjectADN - Anàlisi
dc.subjectBiologia computacional
dc.subjectCàncer
dc.subject.meshSequence Analysis, DNA
dc.subject.mesh/methods
dc.subject.meshNeoplasms
dc.subject.meshComputing Methodologies
dc.titleNext Generation-Targeted Amplicon Sequencing (NG-TAS): an optimised protocol and computational pipeline for cost-effective profiling of circulating tumour DNA
dc.typeinfo:eu-repo/semantics/article
dc.identifier.doi10.1186/s13073-018-0611-9
dc.subject.decsanálisis de secuencias de ADN
dc.subject.decs/métodos
dc.subject.decsneoplasias
dc.subject.decsmetodologías computacionales
dc.relation.publishversionhttps://genomemedicine.biomedcentral.com/articles/10.1186/s13073-018-0611-9
dc.type.versioninfo:eu-repo/semantics/publishedVersion
dc.audienceProfessionals
dc.contributor.organismesInstitut Català de la Salut
dc.contributor.authoraffiliation[Gao M, Callari M] Department of Oncology and Cancer Research UK Cambridge Institute, Li Ka Shing Centre, University of Cambridge, Cambridge, UK. [Beddowes E] Department of Oncology and Cancer Research UK Cambridge Institute, Li Ka Shing Centre, University of Cambridge, Cambridge, UK. Breast Cancer Programme, Cancer Research UK Cambridge Cancer Centre, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK. [Sammut SJ, Grzelak M] Department of Oncology and Cancer Research UK Cambridge Institute, Li Ka Shing Centre, University of Cambridge, Cambridge, UK. [Biggs H] Breast Cancer Programme, Cancer Research UK Cambridge Cancer Centre, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK. [Cortes J] Ramon y Cajal University Hospital, Madrid, Spain. Vall d'Hebron Institut d'Oncologia, Barcelona, Spain. [Oliveira M] Vall d'Hebron Institut d'Oncologia, Barcelona, Spain.
dc.identifier.pmid30609936
dc.identifier.wosWOS:000454936800001
dc.rights.accessrightsinfo:eu-repo/semantics/openAccess


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