Ontology highlight
ABSTRACT: Background
KRASG12C is the most common KRAS mutation in lung adenocarcinoma (LUAD), yet clinical responses to KRASG12C-selective inhibitors (G12Ci) and immunotherapy remain variable.Methods
Transcriptomic analysis of KRASG12C-mutant LUAD was performed using machine learning algorithms to classify molecular subtypes. Subtype-specific features, including genomic alterations, tumour microenvironment and therapeutic vulnerabilities, were systematically evaluated.Results
We identified three distinct molecular subtypes (KC1, KC2 and KC3) of KRASG12C-mutant LUAD through transcriptomic analysis using machine learning algorithms. KC1 subtype is characterised by a neuroendocrine phenotype associated with SMARCA4 loss-of-function and
SUBMITTER: Yang H
PROVIDER: S-EPMC12481212 | biostudies-literature | 2025 Oct
REPOSITORIES: biostudies-literature