Targeted RNA sequencing for upfront analysis of actionable driver alterations in non-small cell lung cancer. (April 2022)
- Record Type:
- Journal Article
- Title:
- Targeted RNA sequencing for upfront analysis of actionable driver alterations in non-small cell lung cancer. (April 2022)
- Main Title:
- Targeted RNA sequencing for upfront analysis of actionable driver alterations in non-small cell lung cancer
- Authors:
- Claerhout, Sofie
Lehnert, Stefan
Vander Borght, Sara
Spans, Lien
Dooms, Christophe
Wauters, Els
Vansteenkiste, Johan
Weynand, Birgit
Deraedt, Karen
Bourgain, Claire
Vanden Bempt, Isabelle - Abstract:
- Highlights: 126 NSCLC samples analyzed by tDNA-seq and tRNA-seq (Archer FusionPlex CTL). In-house developed bio-IT pipeline key for detection of all variants by tRNA-seq. tRNA-seq identified additional mutations in MET and BRAF, not detected by tDNA-seq. Low frequency variants detected by tDNA-seq were all detected by tRNA-seq. tRNA-seq simultaneously detects approved molecular biomarkers in diagnostic setting. Abstract: Objectives: Targeted RNA-based Next-Generation Sequencing (tRNA-seq) is increasingly being used in molecular diagnostics for gene fusion detection in non-small cell lung cancer (NSCLC). However, few data support its clinical application for the detection of single nucleotide variants (SNVs) and small insertions/deletions. In this study, we evaluated the performance of tRNA-seq using Archer FusionPlex for simultaneous detection of actionable gene fusions, splice variants, SNVs and indels in formalin-fixed, paraffin-embedded NSCLC tissue. Materials and methods: A total of 126 NSCLC samples, including 20 validation samples and 106 diagnostic cases, were analyzed by targeted DNA-based Next-Generation Sequencing (tDNA-seq) followed by tRNA-seq. Results: All 28 SNVs and indels in the validation set, and 34 out of 35 mutations in the diagnostic set were identified by tRNA-seq. The only mutation undetected by tRNA-seq, ERBB2 p.(Ser310Tyr), was not included in the current Archer panel design. tRNA-seq revealed one additional BRAF p.(Val600Glu) mutation not found byHighlights: 126 NSCLC samples analyzed by tDNA-seq and tRNA-seq (Archer FusionPlex CTL). In-house developed bio-IT pipeline key for detection of all variants by tRNA-seq. tRNA-seq identified additional mutations in MET and BRAF, not detected by tDNA-seq. Low frequency variants detected by tDNA-seq were all detected by tRNA-seq. tRNA-seq simultaneously detects approved molecular biomarkers in diagnostic setting. Abstract: Objectives: Targeted RNA-based Next-Generation Sequencing (tRNA-seq) is increasingly being used in molecular diagnostics for gene fusion detection in non-small cell lung cancer (NSCLC). However, few data support its clinical application for the detection of single nucleotide variants (SNVs) and small insertions/deletions. In this study, we evaluated the performance of tRNA-seq using Archer FusionPlex for simultaneous detection of actionable gene fusions, splice variants, SNVs and indels in formalin-fixed, paraffin-embedded NSCLC tissue. Materials and methods: A total of 126 NSCLC samples, including 20 validation samples and 106 diagnostic cases, were analyzed by targeted DNA-based Next-Generation Sequencing (tDNA-seq) followed by tRNA-seq. Results: All 28 SNVs and indels in the validation set, and 34 out of 35 mutations in the diagnostic set were identified by tRNA-seq. The only mutation undetected by tRNA-seq, ERBB2 p.(Ser310Tyr), was not included in the current Archer panel design. tRNA-seq revealed one additional BRAF p.(Val600Glu) mutation not found by tDNA-seq. SNVs and indels were correctly called by the vendor supplied software, except for ERBB2 duplication p.(Tyr772_A775dup) which was only detected by an additional in-house developed bio-informatics pipeline. Variant allelic frequency (VAF) values were generally higher at the expression level compared to the genomic level (range 6–96% for tRNA-seq versus 6–61% for tDNA-seq) and low VAF mutations in DNA (6–8% VAF) were all confirmed by tRNA-seq. Finally, tRNA-seq additionally identified a driver fusion or splice variant in 10 diagnostic NSCLC samples including one MET exon 14 skipping variant not detected by tDNA-seq. Conclusion: Our results demonstrate that tRNA-seq can be implemented in a diagnostic setting as an efficient strategy for simultaneous detection of actionable gene fusions, splice variants, SNVs and indels in NSCLC provided that adequate RNA-seq analysis tools are available, especially for the detection of indels. This approach allows upfront identification of currently recommended targetable molecular alterations in NSCLC samples. … (more)
- Is Part Of:
- Lung cancer. Volume 166(2022)
- Journal:
- Lung cancer
- Issue:
- Volume 166(2022)
- Issue Display:
- Volume 166, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 166
- Issue:
- 2022
- Issue Sort Value:
- 2022-0166-2022-0000
- Page Start:
- 242
- Page End:
- 249
- Publication Date:
- 2022-04
- Subjects:
- AMP anchored multiplex PCR -- CTL comprehensive thyroid and lung -- EBUS-FNA endobronchial ultrasound-guided fine needle aspiration -- EBUS-TBNA endobronchial ultrasound-guided transbronchial needle aspiration -- e-VAF expressed variant allelic frequency -- FFPE formalin-fixed, paraffin-embedded -- FISH fluorescence in situ hybridization -- FNA fine needle aspiration -- GSP gene specific primer -- indels insertions/deletions -- NSCLC non-small cell lung cancer -- QC quality control -- tDNA-seq targeted DNA-based Next-Generation Sequencing -- tRNA-seq targeted RNA-based Next-Generation Sequencing -- SNV single nucleotide variant -- VAF variant allelic frequency -- WTB-PCR wild-type blocking PCR
NSCLC -- tRNA-seq -- Archer FusionPlex -- Bio-informatics pipeline -- Comprehensive molecular testing
Lungs -- Cancer -- Periodicals
Lung Neoplasms -- Abstracts
Lung Neoplasms -- Periodicals
Poumons -- Cancer -- Périodiques
Lungs -- Cancer
Periodicals
Electronic journals
Electronic journals
616.99424 - Journal URLs:
- http://www.sciencedirect.com/science/journal/01695002 ↗
http://www.clinicalkey.com/dura/browse/journalIssue/01695002 ↗
http://www.clinicalkey.com.au/dura/browse/journalIssue/01695002 ↗
http://www.lungcancerjournal.info/issues ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.lungcan.2022.02.013 ↗
- Languages:
- English
- ISSNs:
- 0169-5002
- Deposit Type:
- Legaldeposit
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