Integration of metabolomics and machine learning revealed tryptophan metabolites are sensitive biomarkers of pemetrexed efficacy in non-small cell lung cancer.

Runbin SunFei FeiMin WangJunyi JiangGuangyu YangNa YangDandan JinZhi XuBei CaoJuan Li

Published in: Cancer medicine (2023)

We compared eight mathematical models to evaluate pemetrexed efficiency for treating NSCLC. The Random forest model established with metabolic markers tryptophan, kynurenine and xanthurenic acidcan accurately diagnose NSCLC and evaluate the response of pemetrexed.

Keyphrases

small cell lung cancer
advanced non small cell lung cancer
machine learning
brain metastases
epidermal growth factor receptor
climate change
mass spectrometry
ms ms
single cell
artificial intelligence
big data
neural network