Optimal next-generation sequencing (NGS) panel for estimating tumor mutation burden (TMB) and its clinical implication for non-small cell lung cancer (NSCLC).

Takaya Ikeda,Hajime Oi,Kiyotaka Yoh,Shingo Matsumoto,Terufumi Kato,Kazumi Nishino,Atsushi Nakamura,Ichiro Nakachi,Jun Sakakibara-Konishi,Haruko Daga,Naoki Furuya,Kageaki Taima,Eiji Iwama,Noriyuki Ebi,Yūji Shibata,Hiroki Izumi,Kaname Nosaki,Yoshitaka Zenke,Koichi Goto

Optimal next-generation sequencing (NGS) panel for estimating tumor mutation burden (TMB) and its clinical implication for non-small cell lung cancer (NSCLC).

2021

Takaya Ikeda
Hajime Oi
Kiyotaka Yoh
Shingo Matsumoto
Terufumi Kato
Kazumi Nishino
Atsushi Nakamura
Ichiro Nakachi
Jun Sakakibara-Konishi
Haruko Daga
Naoki Furuya
Kageaki Taima
Eiji Iwama
Noriyuki Ebi
Yūji Shibata
Hiroki Izumi
Kaname Nosaki
Yoshitaka Zenke
Koichi Goto

9097Background: TMB estimation using targeted NGS panels is widely performed in clinical practice. The objective of this study was to determine the optimal NGS panel for estimating TMB and to evalu...

Keywords:

targeted ngs
Mutation (genetic algorithm)
Medicine
Clinical Practice
DNA sequencing
Computational biology
non-small cell lung cancer (NSCLC)

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