Added Value of Whole-Exome and Transcriptome Sequencing for Clinical Molecular Screenings of Advanced Cancer Patients With Solid Tumors. Issue 4 (July 2018)

• Record Type: Journal Article
• Authors: Koeppel, Florence; Bobard, Alexandre; Lefebvre, Céline; Pedrero, Marion; Deloger, Marc; Boursin, Yannick; Richon, Catherine; Chen-Min-Tao, Romy; Robert, Guillaume; Meurice, Guillaume; Rouleau, Etienne; Michiels, Stefan; Massard, Christophe; Scoazec, Jean-Yves; Solary, Eric; Soria, Jean-Charles; André, Fabrice; Lacroix, Ludovic
• Is Part Of: Cancer journal. Volume 24:Issue 4(2018)
• Publication Date: 2018-07
• Subjects: Exome -- neoplasm -- sequence analysis, DNA -- targeted therapy; Cancer -- Periodicals; 616.994005
• DOI: 10.1097/PPO.0000000000000322
• Languages: English
• ISSNs: 1528-9117

Abstract

Abstract : Abstract: Comprehensive genomic profiling using high-throughput sequencing brings a wealth of information, and its place in the clinical setting has been increasingly prominent. This review emphasizes the utility of whole-exome sequencing (WES) and transcriptome sequencing (RNAseq) in patient care and clinical research, based on published reports as well as our experience with the MOSCATO-01 (MOlecular Screening for CAncer Treatment Optimization) molecular triage trial at Gustave Roussy Cancer Center. In this trial, all contributive samples of patients with advanced solid tumors were analyzed prospectively with targeted gene sequencing (TGS) and comparative genomic hybridization. In addition, 92 consecutive metastatic patients with contributive biopsies were sequenced for WES and RNAseq and compared with TGS and comparative genomic hybridization. Whole-exome sequencing allowed the reporting of additional variants in relevant genes in 38% of patients. Mutation detection sensitivity of WES was 95% compared with TGS. Additional information derived from WES and RNAseq could influence clinical decision, including fusion transcripts, expression levels, allele-specific expression, alternate transcripts, RNA-based pathogen diagnostic, tumor mutation load, mutational signatures, expression signatures, HLA genotyping, and neoepitope prediction. The current challenge is to be able to process the large-scale data from these comprehensive genome-wide technologies in an efficient way. Abstract : Supplemental digital content is available in the text.