Assessment of associations between clinical and immune microenvironmental factors and tumor mutation burden in resected nonsmall cell lung cancer by applying machine learning to whole‐slide images

Assessment of associations between clinical and immune microenvironmental factors and tumor mutation burden in resected nonsmall cell lung cancer by applying machine learning to whole‐slide images

Abstract Background It is unclear whether clinical factors and immune microenvironment (IME) factors are associated with tumor mutation burden (TMB) in patients with nonsmall cell lung cancer (NSCLC). Materials and methods We assessed TMB in surgical tumor specimens by performing whole exome sequenc...

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Bibliographic Details
Main Authors: Akira Ono, Yukihiro Terada, Takuya Kawata, Masakuni Serizawa, Mitsuhiro Isaka, Takanori Kawabata, Toru Imai, Keita Mori, Koji Muramatsu, Isamu Hayashi, Hirotsugu Kenmotsu, Keiichi Ohshima, Kenichi Urakami, Takeshi Nagashima, Masatoshi Kusuhara, Yasuto Akiyama, Takashi Sugino, Yasuhisa Ohde, Ken Yamaguchi, Toshiaki Takahashi
Format: Article
Language:English
Published: Wiley 2020-07-01
Series:Cancer Medicine
Subjects:
CEA
immune microenvironment
machine learning
nonsmall cell lung cancer
tumor mutation burden
whole‐slide imaging
Online Access:https://doi.org/10.1002/cam4.3107

Internet

https://doi.org/10.1002/cam4.3107

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