Protocol optimization of a targeted sequencing panel for genomic profiling of bronchoalveolar lavage fluid in lung cancer

Abstract Introduction We investigated a commercially available sequencing panel to study the effect of sequencing depth, variant calling strategy, and targeted sequencing region on identifying tumor‐derived variants in cell‐free bronchoalveolar lavage (cfBAL) DNA compared with plasma cfDNA. Methods...

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Main Authors: Cassandra L. Sather, Pamela Yang, Chaomei Zhang, Matthew P. Fitzgibbon, Michelle Fournier, Eric Toloza, Amit Tandon, Matthew Schabath, Sean Yoder, Viswam S. Nair
Format: Article
Language:English
Published: Wiley 2023-09-01
Series:Cancer Medicine
Subjects:
Online Access:https://doi.org/10.1002/cam4.6380
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author Cassandra L. Sather
Pamela Yang
Chaomei Zhang
Matthew P. Fitzgibbon
Michelle Fournier
Eric Toloza
Amit Tandon
Matthew Schabath
Sean Yoder
Viswam S. Nair
author_facet Cassandra L. Sather
Pamela Yang
Chaomei Zhang
Matthew P. Fitzgibbon
Michelle Fournier
Eric Toloza
Amit Tandon
Matthew Schabath
Sean Yoder
Viswam S. Nair
author_sort Cassandra L. Sather
collection DOAJ
description Abstract Introduction We investigated a commercially available sequencing panel to study the effect of sequencing depth, variant calling strategy, and targeted sequencing region on identifying tumor‐derived variants in cell‐free bronchoalveolar lavage (cfBAL) DNA compared with plasma cfDNA. Methods Sequencing was performed at low or high coverage using two filtering algorithms to identify tumor variants on two panels targeting 77 and 197 genes respectively. Results One hundred and four sequencing files from 40 matched DNA samples of cfBAL, plasma, germline leukocytes, and archival tumor specimens in 10 patients with early‐stage lung cancer were analyzed. By low‐coverage sequencing, tumor‐derived cfBAL variants were detected in 5/10 patients (50%) compared with 2/10 (20%) for plasma. High‐coverage sequencing did not affect the number of tumor‐derived variants detected in either biospecimen type. Accounting for germline mutations eliminated false‐positive plasma calls regardless of coverage (0/10 patients with tumor‐derived variants identified) and increased the number of cfBAL calls (5/10 patients with tumor‐derived variants identified). These results were not affected by the number of targeted genes.
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spelling doaj.art-1b5dbec6d7904d55a7856255aa1f6a452023-09-27T11:46:08ZengWileyCancer Medicine2045-76342023-09-011217176321763710.1002/cam4.6380Protocol optimization of a targeted sequencing panel for genomic profiling of bronchoalveolar lavage fluid in lung cancerCassandra L. Sather0Pamela Yang1Chaomei Zhang2Matthew P. Fitzgibbon3Michelle Fournier4Eric Toloza5Amit Tandon6Matthew Schabath7Sean Yoder8Viswam S. Nair9Shared Resources Fred Hutchinson Cancer Center Seattle Washington USAShared Resources Fred Hutchinson Cancer Center Seattle Washington USATissue and Molecular Genomics Cores H. Lee Moffitt Cancer Center & Research Institute Tampa Florida USAShared Resources Fred Hutchinson Cancer Center Seattle Washington USATissue and Molecular Genomics Cores H. Lee Moffitt Cancer Center & Research Institute Tampa Florida USADepartment of Thoracic Oncology H. Lee Moffitt Cancer Center & Research Institute Tampa Florida USADepartment of Thoracic Oncology H. Lee Moffitt Cancer Center & Research Institute Tampa Florida USADepartment of Thoracic Oncology H. Lee Moffitt Cancer Center & Research Institute Tampa Florida USATissue and Molecular Genomics Cores H. Lee Moffitt Cancer Center & Research Institute Tampa Florida USADivision of Pulmonary, Critical Care & Sleep Medicine University of Washington Seattle Washington USAAbstract Introduction We investigated a commercially available sequencing panel to study the effect of sequencing depth, variant calling strategy, and targeted sequencing region on identifying tumor‐derived variants in cell‐free bronchoalveolar lavage (cfBAL) DNA compared with plasma cfDNA. Methods Sequencing was performed at low or high coverage using two filtering algorithms to identify tumor variants on two panels targeting 77 and 197 genes respectively. Results One hundred and four sequencing files from 40 matched DNA samples of cfBAL, plasma, germline leukocytes, and archival tumor specimens in 10 patients with early‐stage lung cancer were analyzed. By low‐coverage sequencing, tumor‐derived cfBAL variants were detected in 5/10 patients (50%) compared with 2/10 (20%) for plasma. High‐coverage sequencing did not affect the number of tumor‐derived variants detected in either biospecimen type. Accounting for germline mutations eliminated false‐positive plasma calls regardless of coverage (0/10 patients with tumor‐derived variants identified) and increased the number of cfBAL calls (5/10 patients with tumor‐derived variants identified). These results were not affected by the number of targeted genes.https://doi.org/10.1002/cam4.6380AVENIO®BALCAPP‐Seqgenomicslung cancer
spellingShingle Cassandra L. Sather
Pamela Yang
Chaomei Zhang
Matthew P. Fitzgibbon
Michelle Fournier
Eric Toloza
Amit Tandon
Matthew Schabath
Sean Yoder
Viswam S. Nair
Protocol optimization of a targeted sequencing panel for genomic profiling of bronchoalveolar lavage fluid in lung cancer
Cancer Medicine
AVENIO®
BAL
CAPP‐Seq
genomics
lung cancer
title Protocol optimization of a targeted sequencing panel for genomic profiling of bronchoalveolar lavage fluid in lung cancer
title_full Protocol optimization of a targeted sequencing panel for genomic profiling of bronchoalveolar lavage fluid in lung cancer
title_fullStr Protocol optimization of a targeted sequencing panel for genomic profiling of bronchoalveolar lavage fluid in lung cancer
title_full_unstemmed Protocol optimization of a targeted sequencing panel for genomic profiling of bronchoalveolar lavage fluid in lung cancer
title_short Protocol optimization of a targeted sequencing panel for genomic profiling of bronchoalveolar lavage fluid in lung cancer
title_sort protocol optimization of a targeted sequencing panel for genomic profiling of bronchoalveolar lavage fluid in lung cancer
topic AVENIO®
BAL
CAPP‐Seq
genomics
lung cancer
url https://doi.org/10.1002/cam4.6380
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