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