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Diagnosis of fusion genes using targeted RNA sequencing.
Heyer, Erin E; Deveson, Ira W; Wooi, Danson; Selinger, Christina I; Lyons, Ruth J; Hayes, Vanessa M; O'Toole, Sandra A; Ballinger, Mandy L; Gill, Devinder; Thomas, David M; Mercer, Tim R; Blackburn, James.
Afiliación
  • Heyer EE; Genomics and Epigenetics Division, Garvan Institute of Medical Research, Sydney, 2010, NSW, Australia.
  • Deveson IW; Genomics and Epigenetics Division, Garvan Institute of Medical Research, Sydney, 2010, NSW, Australia.
  • Wooi D; St. Vincent's Clinical School, UNSW Australia, Sydney, 2031, NSW, Australia.
  • Selinger CI; Genomics and Epigenetics Division, Garvan Institute of Medical Research, Sydney, 2010, NSW, Australia.
  • Lyons RJ; St. Vincent's Clinical School, UNSW Australia, Sydney, 2031, NSW, Australia.
  • Hayes VM; Tissue Pathology and Diagnostic Oncology, Royal Prince Alfred Hospital, Sydney, 2050, NSW, Australia.
  • O'Toole SA; Genomics and Epigenetics Division, Garvan Institute of Medical Research, Sydney, 2010, NSW, Australia.
  • Ballinger ML; Genomics and Epigenetics Division, Garvan Institute of Medical Research, Sydney, 2010, NSW, Australia.
  • Gill D; St. Vincent's Clinical School, UNSW Australia, Sydney, 2031, NSW, Australia.
  • Thomas DM; Faculty of Health Sciences, University of Limpopo, Turfloop Campus, Mankweng, 0727, South Africa.
  • Mercer TR; School of Health Systems and Public Health, University of Pretoria, Pretoria, 0002, South Africa.
  • Blackburn J; Central Clinical School, University of Sydney, Sydney, 2006, NSW, Australia.
Nat Commun ; 10(1): 1388, 2019 03 27.
Article en En | MEDLINE | ID: mdl-30918253
ABSTRACT
Fusion genes are a major cause of cancer. Their rapid and accurate diagnosis can inform clinical action, but current molecular diagnostic assays are restricted in resolution and throughput. Here, we show that targeted RNA sequencing (RNAseq) can overcome these limitations. First, we establish that fusion gene detection with targeted RNAseq is both sensitive and quantitative by optimising laboratory and bioinformatic variables using spike-in standards and cell lines. Next, we analyse a clinical patient cohort and improve the overall fusion gene diagnostic rate from 63% with conventional approaches to 76% with targeted RNAseq while demonstrating high concordance for patient samples with previous diagnoses. Finally, we show that targeted RNAseq offers additional advantages by simultaneously measuring gene expression levels and profiling the immune-receptor repertoire. We anticipate that targeted RNAseq will improve clinical fusion gene detection, and its increasing use will provide a deeper understanding of fusion gene biology.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Análisis de Secuencia de ARN / Técnicas de Diagnóstico Molecular / Fusión Génica / Neoplasias Tipo de estudio: Diagnostic_studies / Guideline Límite: Humans Idioma: En Revista: Nat Commun Asunto de la revista: BIOLOGIA / CIENCIA Año: 2019 Tipo del documento: Article País de afiliación: Australia

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Análisis de Secuencia de ARN / Técnicas de Diagnóstico Molecular / Fusión Génica / Neoplasias Tipo de estudio: Diagnostic_studies / Guideline Límite: Humans Idioma: En Revista: Nat Commun Asunto de la revista: BIOLOGIA / CIENCIA Año: 2019 Tipo del documento: Article País de afiliación: Australia