UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

A novel next generation sequencing approach to improve sarcoma diagnosis

McConnell, L; Houghton, O; Stewart, P; Gazdova, J; Srivastava, S; Kim, C; Catherwood, M; ... Gonzalez, D; + view all (2020) A novel next generation sequencing approach to improve sarcoma diagnosis. Modern Pathology , 33 pp. 1350-1359. 10.1038/s41379-020-0488-1. Green open access

[thumbnail of A novel next generation sequencing approach to improve sarcoma diagnosis.pdf]
Preview
Text
A novel next generation sequencing approach to improve sarcoma diagnosis.pdf - Accepted Version

Download (481kB) | Preview

Abstract

Sarcoma is a rare disease affecting both bone and connective tissue and with over 100 pathologic entities, differential diagnosis can be difficult. Complementing immune-histological diagnosis with current ancillary diagnostic techniques, including FISH and RT-PCR, can lead to inconclusive results in a significant number of cases. We describe here the design and validation of a novel sequencing tool to improve sarcoma diagnosis. A NGS DNA capture panel containing probes for 87 fusion genes and 7 genes with frequent copy number changes was designed and optimized. A cohort of 113 DNA samples extracted from soft-tissue and bone sarcoma FFPE material with clinical FISH and/or RT-PCR results positive for either a translocation or gene amplification was used for validation of the NGS method. Sarcoma-specific translocations or gene amplifications were confirmed in 110 out of 113 cases using FISH and/or RT-PCR as gold-standard. MDM2/CDK4 amplification and a total of 25 distinct fusion genes were identified in this cohort of patients using the NGS approach. Overall, the sensitivity of the NGS panel is 97% with a specificity of 100 and 0% failure rate. Targeted NGS appears to be a feasible and cost-effective approach to improve sarcoma subtype diagnosis with the ability to screen for a wide range of genetic aberrations in one test.

Type: Article
Title: A novel next generation sequencing approach to improve sarcoma diagnosis
Location: United States
Open access status: An open access version is available from UCL Discovery
DOI: 10.1038/s41379-020-0488-1
Publisher version: https://doi.org/10.1038/s41379-020-0488-1
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Next-generation sequencing, Sarcoma, Targeted resequencing
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Cancer Institute
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Cancer Institute > Research Department of Pathology
URI: https://discovery.ucl.ac.uk/id/eprint/10092679
Downloads since deposit
426Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item