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.

Akira OnoYukihiro TeradaTakuya KawataMasakuni SerizawaMitsuhiro IsakaTakanori KawabataToru ImaiKeita MoriKoji MuramatsuIsamu HayashiHirotsugu KenmotsuKeiichi OhshimaKenichi UrakamiTakeshi NagashimaMasatoshi KusuharaYasuto AkiyamaTakashi SuginoYasuhisa OhdeKen YamaguchiToshiaki Takahashi

Published in: Cancer medicine (2020)

The IME factors assessed were not associated with TMB, but our findings showed that, in addition to smoking, PET SUV and sCEA levels may be independent predictors of TMB. TMB and IME factors are independent factors in resected NSCLC.

Keyphrases

machine learning
small cell lung cancer
lymph node
computed tomography
stem cells
single cell
artificial intelligence
cell therapy
risk factors
optical coherence tomography
big data
prognostic factors
pet ct