• 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, Mehrdad; Andersen, S.; Giannikou, K.; Paulsen, Erna-Elise; Kilvær, Thomas Karsten; Rasmussen Busund, Lill-Tove; Berg, Thomas; Richardsen, Elin; Lombardi, Ana Paola; Adib, E.; Pedersen, Mona Irene; Tafavvoghi, Masoud; Wahl, Sissel Gyrid Freim; Petersen, R.H.; Bondgaard, A.L.; Yde, C.W.; Baudet, C.; Licht, P.; Lund-Iversen, Marius; Grønberg, Bjørn Henning; Fjellbirkeland, Lars; Helland, Åslaug; Pøhl, M.; Kwiatkowski, D.J.; Dønnem, Tom (Peer reviewed; Journal article, 2023)
      Background We aim to implement an immune cell score model in routine clinical practice for resected non-small-cell lung cancer (NSCLC) patients (NCT03299478 ). Molecular and genomic features associated with immune ...