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Page 6 of 13        Briggs et al. J Cancer Metastasis Treat 2021;7:46  https://dx.doi.org/10.20517/2394-4722.2021.84

               More relevant to the era of checkpoint inhibitors, TERT promoter mutations may be predictive of resistance
               to ICI, as one study found TERT promoter mutations to be enriched in patients experiencing no clinical
                                    [43]
               benefit in the ICI cohort . High expression of hERV has been associated with improved response to ICI
               and nivolumab [35,36] . High expression of a 5-Gene panel (FOXP3, CCR4, KLRK1, ITK, and TIGIT) has been
               associated with improved response to ICI . PBRM-1 LOF mutations have been associated with longer OS
                                                   [44]
               and PFS and increased ORR in patients receiving nivolumab monotherapy [25,31-33] , but no significant
               difference in OS or PFS in patients receiving everolimus, sunitinib, or combination therapy [27,28,32,33] .
               However, these findings are not universally consistent as PBRM-1 mutations have also been associated with
               decreased ORR in patients receiving atezolumab monotherapy  and improved TTF in patients receiving
                                                                     [33]
                                [23]
               anti-VEGF therapy . TMB has not been associated with differential ORR to ICI, nivolumab, or
               everolimus [25,26,45,46] .

               Overall, CRP and mutations in MET, PBRM-1, and BAP1 be associated with improved response to
               TKIs [18,23,39] , while mutations in the mTOR pathway and expression of PTEN may be associated with
               improved response to mTOR inhibitors [40-42] . TERT promoter mutations, hERV expression, and T-effector
               expression may be associated with improved response to ICI [35,36,43,44] . Table 3 and Supplementary Table 3 list
               all identified data depicting the value of these biomarkers in predicting response to various treatments.


               SELECT GENE EXPRESSION SIGNATURES AS PROGNOSTIC AND PREDICTIVE
               BIOMARKERS
               Aberrantly upregulated VEGF pathways cause angiogenesis necessary for continued tumor growth, while
               PDL1 expression by tumor and tumor-infiltrating cells suppresses the immune response to the tumor. As
               these two aspects of the mRCC disease state have been increasingly well-defined, a number of GES reflective
               of angiogenic and immunogenic pathways have been evaluated for their prognostic and predictive
                                                                                                 [29]
               implications across multiple large databases of patients with mRCC. In 2019, McDermott et al.  defined
               three such GES in an analysis of the IMmotion 150 cohort that included genetic expression related to
               angiogenesis (coined, “IMmotion 150 Angio”, including expression of VEGFA, KDR, ESM1, PECAM1,
               ANGPTL4, CD34),  myeloid inflammation (coined “IMmotion 150 Myeloid”, including IL-6, CXCL1,
               CXCL2, CXCL3, CXCL8, and PTGS2), and immune activation including effector T-cell (Teff) presence and
               function, IFN-γ response, checkpoint inhibitors, and antigen presentation (coined “IMmotion 150 Teff”,
               including CD8A, EOMES, PRF1, IFNG, and CD274). Similarly, in 2020, Motzer et al.  defined two GES in
                                                                                       [28]
               an analysis of the JAVELIN Renal 101 cohort that analyzed the expression of 26 genes each, coined “Renal
               101 Immuno” (most similar to IMmotion 150 Teff) and “Renal 101 Angio”. The extent to which high
               expression vs. low expression (as defined by gene expression ≥ or < median) of these five GES is associated
               with OS, PFS, or ORR has been examined across the IMmotion 150 and 151 cohorts, the JAVELIN phase 1
               and RENAL 100 and 101 cohorts, and the CheckMate 214 cohort as depicted in Table 4 and Supplementary
               Table 4.


               Examining cancer angiogenesis, high vs. low expression of both the IMmotion 150 Angio and the JAVELIN
               Renal  101  Angio  GES  have  been  associated  with  improved  PFS  and  ORR  in  patients  receiving
               sunitinib [27,29,47] . However, in patients receiving combination nivolumab + ipilimumab therapy, those with
               high expression of IMmotion 150 Angio demonstrated decreased ORR , and in patients with low
                                                                                [27]
               IMmotion 150 Angio receiving combination atezolumab + bevacizumab vs. sunitinib, decreased PFS has
               been shown . Furthermore, high IMmotion 150 Angio GES has been associated with favorable (vs.
                          [29]
                                                              [48]
               intermediate/poor) risk . Finally, Beuselinck et al.  established an angiogenic GES that has been
                                     [47]
                                                                                       [38]
               associated with improved ORR to anti-angiogenic therapy across three cohorts . Thus, while these
               angiogenic GES may predict improved response to targeted anti-angiogenic therapy compared with ICI or
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