Machine learning-based immune phenotypes correlate with STK11/KEAP1 co-mutations and prognosis in resectable NSCLC: a sub-study of the TNM-I trial-Reference-Cited by-同舟云学术

Machine learning-based immune phenotypes correlate with STK11/KEAP1 co-mutations and prognosis in resectable NSCLC: a sub-study of the TNM-I trial

Published:2023-07 Issue:7 Volume:34 Page:578-588
ISSN:0923-7534
Container-title:Annals of Oncology
language:en
Short-container-title:Annals of Oncology

Author:

Rakaee M.,Andersen S.,Giannikou K.,Paulsen E.-E.,Kilvaer T.K.,Busund L.-T.R.,Berg T.,Richardsen E.,Lombardi A.P.,Adib E.,Pedersen M.I.,Tafavvoghi M.,Wahl S.G.F.,Petersen R.H.,Bondgaard A.L.,Yde C.W.,Baudet C.,Licht P.,Lund-Iversen M.,Grønberg B.H.,Fjellbirkeland L.,Helland Å.,Pøhl M.,Kwiatkowski D.J.,Donnem T.

Funder

Kreftforeningen

Publisher

Elsevier BV

Subject

Oncology,Hematology

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