Machine learning-based immune phenotypes correlate with STK11/KEAP1 co-mutations and prognosis in resectable NSCLC: a sub-study of the TNM-I trial.
Rakaee M, Andersen S, Giannikou K, Paulsen EE, Kilvaer TK, Busund LR, Berg T, Richardsen E, Lombardi AP, Adib E, Pedersen MI, Tafavvoghi M, Wahl SGF, Petersen RH, Bondgaard AL, Yde CW, Baudet C, Licht P, Lund-Iversen M, Grønberg BH, Fjellbirkeland L, Helland Å, Pøhl M, Kwiatkowski DJ, Donnem T.
Rakaee M, et al.
Ann Oncol. 2023 Jul;34(7):578-588. doi: 10.1016/j.annonc.2023.04.005. Epub 2023 Apr 24.
Ann Oncol. 2023.
PMID: 37100205
Free article.
PATIENTS AND METHODS: We developed a machine learning (ML)-based model to classify tumors into one of three categories: inflamed, altered, and desert, based on the spatial distribution of CD8+ T cells in two prospective (n = 453; TNM-I trial) and retrospective (n = …
PATIENTS AND METHODS: We developed a machine learning (ML)-based model to classify tumors into one of three categories: inflamed, altered, a …