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Table 1 Principal models related to immune responsiveness

From: Immune oncology, immune responsiveness and the theory of everything

  Immune Landscapea References
WNT/βCatenin Silent (0.03) [38, 39]
MAPK Hypothesis Silent (0.001) [10]
Immunogenic Cell Death Active (< 0.001) [19], [20, 21]
Regulatory T cells Active (< 0.001) [24, 25]
IL23-Th17 Axis Active (< 0.001) [26, 41,42,43,44]
Myeloid Suppressor Cells Active (< 0.001) [50]
PI3K-γ Signature Active (< 0.01) [52,53,54,55, 63]
IDO/NOS Signature Active (< 0.01) [51, 81, 82]
SGK1 Signature Ubiquitous [56, 57]
Shc1 signature Ubiquitous [62]
Barrier Molecules Ubiquitous [27, 28]
Mesenchymal Transition Ubiquitous [29, 30, 83]
Cancer-Associated Fibroblasts Ubiquitous [31,32,33,34,35, 84]
TAM receptor tyrosine kinases Ubiquitous [47, 58,59,60, 85]
Hypoxia/Adenosine suppression Ubiquitous [48, 49]
TREX1clearence of Cytosolic DNA NA [86, 87]
Checkpoint Cluster Active (< 0.001) [22, 23]
oncogene addicted tumors Silent [11, 68]
Epigenetic Regulation Ubiquitous [12, 88,89,90]
  1. 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