Comparison of sampling methods for next generation sequencing for patients with lung cancer

Abstract Introduction Success of next generation sequencing (NGS) analysis is becoming indispensable in the treatment of advanced lung cancer. However, the advantages and disadvantages of each sampling method in the NGS analysis have not yet been clarified. Methods We compared the success rates of N...

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Main Authors: Kei Kunimasa, Shingo Matsumoto, Kazumi Nishino, Keiichiro Honma, Noboru Maeda, Hanako Kuhara, Motohiro Tamiya, Takako Inoue, Takahisa Kawamura, Toru Kimura, Tomohiro Maniwa, Jiro Okami, Koichi Goto, Toru Kumagai
Format: Article
Language:English
Published: Wiley 2022-07-01
Series:Cancer Medicine
Subjects:
Online Access:https://doi.org/10.1002/cam4.4632
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author Kei Kunimasa
Shingo Matsumoto
Kazumi Nishino
Keiichiro Honma
Noboru Maeda
Hanako Kuhara
Motohiro Tamiya
Takako Inoue
Takahisa Kawamura
Toru Kimura
Tomohiro Maniwa
Jiro Okami
Koichi Goto
Toru Kumagai
author_facet Kei Kunimasa
Shingo Matsumoto
Kazumi Nishino
Keiichiro Honma
Noboru Maeda
Hanako Kuhara
Motohiro Tamiya
Takako Inoue
Takahisa Kawamura
Toru Kimura
Tomohiro Maniwa
Jiro Okami
Koichi Goto
Toru Kumagai
author_sort Kei Kunimasa
collection DOAJ
description Abstract Introduction Success of next generation sequencing (NGS) analysis is becoming indispensable in the treatment of advanced lung cancer. However, the advantages and disadvantages of each sampling method in the NGS analysis have not yet been clarified. Methods We compared the success rates of NGS analysis, and DNA and RNA yields for transbronchial biopsy (TBB), endobronchial ultrasound‐guided transbronchial needle aspiration (EBUS‐TBNA), computed tomography (CT)‐guided biopsy, fluid sample, and surgical biopsy for NGS analysis in patients through the lung cancer genomic screening project for individualized medicine (LC‐SCRUM)‐Asia, a nationwide NGS screening project. In case, sufficient samples could not be collected by TBB and EBUS‐TBNA, re‐biopsy (genome re‐biopsy) was performed. Results A total of 223 patients were enrolled and success rates of NGS analysis were not different between samples obtained through TBB, EBUS‐TBNA, and CT‐guided biopsy; however, success rates for fluid samples and surgical biopsy samples were significantly higher than those of other methods. The risk of genome re‐biopsy was higher with TBB for centrally located lesions. CT‐guided biopsy yielded more samples but had a lower success rate for analysis of RNA‐based NGS than TBB. Conclusions TBB is the mainstay of sampling methods, but for centrally located lesions, EBUS‐TBNA may be a better strategy. For CT‐guided biopsy, the success rate of RNA‐based NGS analysis is low. Fluid samples are expected to yield successful results as surgical biopsy samples, but the latter are better for sample preservation. Determining the optimal method for genome biopsy for each case is important.
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spelling doaj.art-978e7bbf0f754bd9ad62e1525b8d64352022-12-22T03:03:09ZengWileyCancer Medicine2045-76342022-07-0111142744275410.1002/cam4.4632Comparison of sampling methods for next generation sequencing for patients with lung cancerKei Kunimasa0Shingo Matsumoto1Kazumi Nishino2Keiichiro Honma3Noboru Maeda4Hanako Kuhara5Motohiro Tamiya6Takako Inoue7Takahisa Kawamura8Toru Kimura9Tomohiro Maniwa10Jiro Okami11Koichi Goto12Toru Kumagai13Department of Thoracic Oncology Osaka International Cancer Institute Osaka JapanDepartment of Thoracic Oncology National Cancer Center Hospital East Kashiwa JapanDepartment of Thoracic Oncology Osaka International Cancer Institute Osaka JapanDepartment of Diagnostic Pathology & Cytology Osaka International Cancer Institute Osaka JapanDepartment of Diagnostic and Interventional Radiology Osaka International Cancer Institute Osaka JapanDepartment of Thoracic Oncology Osaka International Cancer Institute Osaka JapanDepartment of Thoracic Oncology Osaka International Cancer Institute Osaka JapanDepartment of Thoracic Oncology Osaka International Cancer Institute Osaka JapanDepartment of Thoracic Oncology Osaka International Cancer Institute Osaka JapanDepartment of General Thoracic Surgery Osaka International Cancer Institute Osaka JapanDepartment of General Thoracic Surgery Osaka International Cancer Institute Osaka JapanDepartment of General Thoracic Surgery Osaka International Cancer Institute Osaka JapanDepartment of Thoracic Oncology National Cancer Center Hospital East Kashiwa JapanDepartment of Thoracic Oncology Osaka International Cancer Institute Osaka JapanAbstract Introduction Success of next generation sequencing (NGS) analysis is becoming indispensable in the treatment of advanced lung cancer. However, the advantages and disadvantages of each sampling method in the NGS analysis have not yet been clarified. Methods We compared the success rates of NGS analysis, and DNA and RNA yields for transbronchial biopsy (TBB), endobronchial ultrasound‐guided transbronchial needle aspiration (EBUS‐TBNA), computed tomography (CT)‐guided biopsy, fluid sample, and surgical biopsy for NGS analysis in patients through the lung cancer genomic screening project for individualized medicine (LC‐SCRUM)‐Asia, a nationwide NGS screening project. In case, sufficient samples could not be collected by TBB and EBUS‐TBNA, re‐biopsy (genome re‐biopsy) was performed. Results A total of 223 patients were enrolled and success rates of NGS analysis were not different between samples obtained through TBB, EBUS‐TBNA, and CT‐guided biopsy; however, success rates for fluid samples and surgical biopsy samples were significantly higher than those of other methods. The risk of genome re‐biopsy was higher with TBB for centrally located lesions. CT‐guided biopsy yielded more samples but had a lower success rate for analysis of RNA‐based NGS than TBB. Conclusions TBB is the mainstay of sampling methods, but for centrally located lesions, EBUS‐TBNA may be a better strategy. For CT‐guided biopsy, the success rate of RNA‐based NGS analysis is low. Fluid samples are expected to yield successful results as surgical biopsy samples, but the latter are better for sample preservation. Determining the optimal method for genome biopsy for each case is important.https://doi.org/10.1002/cam4.4632lung cancernext generation sequencingNGS success ratere‐biopsysampling method
spellingShingle Kei Kunimasa
Shingo Matsumoto
Kazumi Nishino
Keiichiro Honma
Noboru Maeda
Hanako Kuhara
Motohiro Tamiya
Takako Inoue
Takahisa Kawamura
Toru Kimura
Tomohiro Maniwa
Jiro Okami
Koichi Goto
Toru Kumagai
Comparison of sampling methods for next generation sequencing for patients with lung cancer
Cancer Medicine
lung cancer
next generation sequencing
NGS success rate
re‐biopsy
sampling method
title Comparison of sampling methods for next generation sequencing for patients with lung cancer
title_full Comparison of sampling methods for next generation sequencing for patients with lung cancer
title_fullStr Comparison of sampling methods for next generation sequencing for patients with lung cancer
title_full_unstemmed Comparison of sampling methods for next generation sequencing for patients with lung cancer
title_short Comparison of sampling methods for next generation sequencing for patients with lung cancer
title_sort comparison of sampling methods for next generation sequencing for patients with lung cancer
topic lung cancer
next generation sequencing
NGS success rate
re‐biopsy
sampling method
url https://doi.org/10.1002/cam4.4632
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