Orchestration and prognostic significance of immune checkpoints in the microenvironment of primary and metastatic renal cell cancer

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Abstract

Purpose: Clear cell renal cell carcinoma (ccRCC) has shown durable responses to checkpoint blockade therapies. However, important gaps persist in the understanding of its immune micro-environment. This study aims to investigate the expression and prognostic significance of immune checkpoints in primary and metastatic ccRCC, in relation with mature dendritic cells (DC) and T-cell densities. Experimental Design: We investigated the infiltration and the localization of CD8 + Tcells and mature DC, and the expression of immune checkpoints (PD-1, LAG-3, PD-L1, and PD-L2) in relation with prognosis, in 135 primary ccRCC tumors and 51 ccRCC lung metastases. RNA expression data for 496 primary ccRCC samples were used as confirmatory cohort. Results: We identify two groups of tumors with extensive CD8 + T-cell infiltrates. One group, characterized by high expression of immune checkpoints in the absence of fully functional mature DC, is associated with increased risk of disease progression. The second group, characterized by low expression of immune checkpoints and localization of mature DC in peritumoral immune aggregates (tertiary lymphoid structures), is associated with good prognosis. Conclusions: The expression of the immune checkpoints and the localization of DC in the tumor microenvironment modulate the clinical impact of CD8 + T cells in ccRCC.

Figures

  • Figure 1. CD8þ T cells and CD8/Th1 gene signature are associatedwith poor prognosis in ccRCC. OS andDFS according to the presence of a high or low density of CD8þ T cells in the IM of primary ccRCC (A) and ccRCC lung metastases (B). The P values by univariate Cox regression analysis for OS on seven Th1-related genes are displayed, P ¼ 0.05 dotted black line, HR >1.0 gray columns (C). OS according to IFNG gene expression in primary ccRCC (D).
  • Figure 2. Expression of immune checkpoints correlates with unfavorable clinical outcome for patients with primary ccRCC. OS and DFS according to the presence of a high or low density of PD-1þ and LAG-3þ cells, and the expression of PD-L1 or PD-L2 by >5% of the tumor cells in primary ccRCC (A). OS and DFS (B) and pie chart (C) representing the percentage of patients that had progressed after 5 years of surgery according to the expression of PD-L1 and/or PD-L2 on tumor cells related with high densities of PD-1þ lymphocytes. The P values by univariate Cox regression analysis for OS on four genes are displayed, P¼ 0.05 dotted gray line, HR >1.0 gray columns (D).
  • Figure 3. Expressionof immune checkpoints correlateswithCD8þT cells infiltration inprimary ccRCC. Dot plot of thegene expressionofPD-L1 (red dots) andPD-L2 (blue dots; y-axis) against IFNG (x-axis; A). Dot plot of the Log10 cell density and gene expression of PD-1 (red dots) and LAG-3 (blue dots; y-axis) against CD8 (x-axis; B). Dot plot of the log10 cell density and gene expression of PD-1 (y-axis) against LAG-3 (x-axis; C). Pearson r value and the number of samples for each correlation are displayed. IF staining on 1 paraffin-embedded ccRCC showing the colocalization of CD8 (green), PD-1 (red), and LAG-3 (white) proteins in lymphocytes (D); nuclei are stained with DAPI.
  • Figure 4. Expression of immune checkpoints correlates with unfavorable clinical outcome for patients with ccRCC lung metastases. OS according to the presence of a high or low density of PD-1þ and LAG-3þ cells, and the expression of PD-L1 or PD-L2 by >5% of the tumor cells in ccRCC lungmetastases (A). OS (B) and pie chart (C) representing the percentage of patients that had died 5 years after the metastasectomy according to the expression of PD-L1 and/or PD-L2 on tumor cells related with high densities of PD-1þ lymphocytes. Dot plot of the Log10 density of PD-1 þ (black dots) and LAG-3þ cells (gray dots; y-axis) against CD8 (x-axis; D); Pearson r value for each correlation is displayed.
  • Figure 5. Characteristics of TLS-DC and NTLS-DC and their relationships with prognosis and immune checkpoints. IHC photomicrographs of DC-Lamp(Red)/CD3(Blue) illustrating the presence of mature DC in TLS (A, white arrows) or outside TLS (B, black arrows); DC-Lamp(Red)/PNAd(Blue) and DC-Lamp(Red)/CD34 (Blue) illustrating TLS-DC near HEV (A) and NTLS-DC near endothelial cells (B) in primary ccRCC. IF staining showing the colocalization of CD3 (green), DC-Lamp (red) with HLA-DR or CD83 (white) expression in TLS-DC (A), but not in NTLS-DC (B); nuclei are stained with DAPI. OS and DFS according to the presence of a high- or low-density TLS-DC in the CD8High group (A, bottom) or NTLS-DC in the entire cohort (B, bottom). Dot plot of the PD-1þ against TLS-DCþ cell densities (blue dots; C); Pearson r value is displayed. OS and DFS according to the presence of a CD8High and TLS-DCLow and/or PD-1High and PD-L1 and/or L2þ immune profiles (D).
  • Table 1. Multivariate Cox regression analysis for DFS and OS of the pathologic and immune variables in primary and metastatic ccRCC

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CITATION STYLE

APA

Giraldo, N. A., Becht, E., Pagès, F., Skliris, G., Verkarre, V., Vano, Y., … Sautés-Fridman, C. (2015). Orchestration and prognostic significance of immune checkpoints in the microenvironment of primary and metastatic renal cell cancer. Clinical Cancer Research, 21(13), 3031–3040. https://doi.org/10.1158/1078-0432.CCR-14-2926

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