The main hypothesis of this study is that gene expression profiles (GEPs) integrating both tumor antigenicity and a pre-existing adaptive immune response can be used to generate distinct immune-related signatures of BRAF mutant colorectal cancers (BRAF-CRCs) to identify actionable biomarkers predicting response to immunotherapy. GEPs of 89 immunotherapy-naïve BRAF-CRCs were generated using the Pan-Cancer IO 360 gene expression panel and the NanoString nCounter platform and were correlated with microsatellite instability (MSI) status and with CD8+ tumor-infiltrating lymphocyte (TIL) content. Hot/inflamed profiles were found in 52% of all cases, and high scores of Tumor Inflammation Signature were observed in 42% of the metastatic BRAF-CRCs. A subset of MSI tumors showed a cold profile. Antigen Processing Machinery (APM) signature was not differentially expressed in MSI tumors compared with MSS cases. By contrast, the APM signature was significantly upregulated in CD8+ BRAF-CRCs versus CD8− tumors. Our study demonstrates that a significant fraction of BRAF-CRCs may be a candidate for immunotherapy and that the simultaneous analysis of MSI status and CD8+ TIL content increases accuracy in identifying patients who can potentially benefit from immune checkpoint inhibitors. GEPs may be very useful in expanding the spectrum of patients with BRAF-CRCs who can benefit from immune checkpoint blockade.
Hemochrome parameters at the diagnosis of metastatic renal cell carcinoma (mRCC) and the development of macrocytosis during sunitinib therapy are considered prognostic. To evaluate the prognostic role of hematologic parameters and macrocytosis in mRCC treated with sunitinib. We analyzed clinical data of 100 patients with mRCC treated with sunitinib as first-line therapy in a retrospective multicenter study. We calculated neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and lymphocyte-to-monocyte ratio (LMR) at baseline and erythrocyte mean corpuscular volume (MCV) during therapy. We considered the following cutoffs: NLR >3, PLR >150, LMR 100 fl. Clinical data histology, prior nephrectomy, Fuhrman grading, metastatic sites, Memorial Sloan-Kettering Cancer Center score, and Heng score were collected. Overall survival (OS) and progression-free survival (PFS) were calculated. Univariate and multivariate analysis using Cox regression model with time-dependent (macrocytosis) covariate were applied. At the univariate analysis, low LMR was associated with shorter PFS and OS (p = 0.02 and p = 0.06, respectively). High PLR was associated with worse PFS (p = 0.005); median OS was 23 vs 28 months (p = 0.13). At the multivariate analysis, poor risk (Heng score), low LMR, and high PLR were associated with shorter PFS (hazard ratio 7.1, 1.5, and 2, respectively); poor PS and poor risk (Heng score) were related to worst OS. Macrocytosis was observed in 26 patients and was not prognostic of survival. In our cohort of patients with mRCC treated with sunitinib, low LMR (>3) and high PLR (>150) were associated with shorter PFS. Macrocytosis was not prognostic.