Ontology highlight
ABSTRACT: Background
The response to neoadjuvant chemotherapy (NAC) differs substantially among individual patients with non-small cell lung cancer (NSCLC). Major pathological response (MPR) is a histomorphological read-out used to assess treatment response and prognosis in patients NSCLC after NAC. Although spatial metabolomics is a promising tool for evaluating metabolic phenotypes, it has not yet been utilized to assess therapy responses in patients with NSCLC. We evaluated the potential application of spatial metabolomics in cancer tissues to assess the response to NAC, using a metabolic classifier that utilizes mass spectrometry imaging combined with machine learning.Methods
Resected NSCLC tissue specimens obtained after NAC (n = 88) were subjected to high-resolution mass spectr
SUBMITTER: Shen J
PROVIDER: S-EPMC9198346 | biostudies-literature | 2022 Jun
REPOSITORIES: biostudies-literature