Principal models related to immune responsiveness

Immune LandscapeaReferences
WNT/βCateninSilent (0.03)[38, 39]
MAPK HypothesisSilent (0.001)[10]
Immunogenic Cell DeathActive (< 0.001)[19], [20, 21]
Regulatory T cellsActive (< 0.001)[24, 25]
IL23-Th17 AxisActive (< 0.001)[26, 41–44]
Myeloid Suppressor CellsActive (< 0.001)[50]
PI3K-γ SignatureActive (< 0.01)[52–55, 63]
IDO/NOS SignatureActive (< 0.01)[51, 81, 82]
SGK1 SignatureUbiquitous[56, 57]
Shc1 signatureUbiquitous[62]
Barrier MoleculesUbiquitous[27, 28]
Mesenchymal TransitionUbiquitous[29, 30, 83]
Cancer-Associated FibroblastsUbiquitous[31–35, 84]
TAM receptor tyrosine kinasesUbiquitous[47, 58–60, 85]
Hypoxia/Adenosine suppressionUbiquitous[48, 49]
TREX1clearence of Cytosolic DNANA[86, 87]
Checkpoint ClusterActive (< 0.001)[22, 23]
oncogene addicted tumorsSilent[11, 68]
Epigenetic RegulationUbiquitous[12, 88–90]

aDistinct models have been assigned to either the Silent or the Active Landscape according to the results of the survey shown in Fig. 1. Ubiquitous refers to models that are not significantly associated with either immune landscape