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. 2020 Mar 16;37(3):289-307.e9.
doi: 10.1016/j.ccell.2020.02.008.

Dendritic Cell Paucity Leads to Dysfunctional Immune Surveillance in Pancreatic Cancer

Affiliations

Dendritic Cell Paucity Leads to Dysfunctional Immune Surveillance in Pancreatic Cancer

Samarth Hegde et al. Cancer Cell. .

Abstract

Here, we utilized spontaneous models of pancreatic and lung cancer to examine how neoantigenicity shapes tumor immunity and progression. As expected, neoantigen expression during lung adenocarcinoma development leads to T cell-mediated immunity and disease restraint. By contrast, neoantigen expression in pancreatic ductal adenocarcinoma (PDAC) results in exacerbation of a fibro-inflammatory microenvironment that drives disease progression and metastasis. Pathogenic TH17 responses are responsible for this neoantigen-induced tumor progression in PDAC. Underlying these divergent T cell responses in pancreas and lung cancer are differences in infiltrating conventional dendritic cells (cDCs). Overcoming cDC deficiency in early-stage PDAC leads to disease restraint, while restoration of cDC function in advanced PDAC restores tumor-restraining immunity and enhances responsiveness to radiation therapy.

Keywords: CD40; Flt3L; dendritic cell; immune surveillance; immunotherapy; neoantigen; pancreatic cancer; radiation therapy; vaccination.

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Conflict of interest statement

Declaration of Interests The authors declare no competing interests.

Figures

Figure 1.
Figure 1.. Neoantigen expression during pancreas cancer development elicits antigen-specific responses
(A) Genetic loci for KPC-OG model and immunoblot for OVA and GFP expression in KPC-OG-derived cell line 72 hours after doxycycline withdrawal. Representative of three independent cell lines. (B) Gross images (LEFT) of pancreatic tissue at 6 weeks in KPC-OG mice on or off doxycycline, and (RIGHT) immunofluorescence images of pancreatic tumors at 36 weeks in KPC-OG mice on or off doxycycline. (C) KPC-OG tumor-derived cell line depicting GFP fluorescence after 24-hour co-culture with antigen-specific (OT-I TCR) or non-specific (C57Bl/6) activated CD8+ T cells (CTL) consistent across three independent cell lines, n=3/group. (D) Representative images and quantification of CD8+ T cells, CD4+ T cells and B220+ B cells in 6-week-old KPC-OG and KPC mice. n=10 mice/group. (E) Density of CD8+ T cells, CD4+ TH, CD4+ TREG and CD19+CD22+ B cells measured by flow cytometry in early stage KPC-OG and KPC mice. n=5–8 mice/group. (F) Density of OVA-specific CD8+ T cells in pancreas, pancreas-dLN, and spleen of early stage KPC-OG and PC-OG mice. n=3–8 mice/group. Data were consistent across two independent experiments. Scale bar denotes 100 μm in (B) and (D). n.s., not significant; *p < 0.05. Data is presented as mean ± SEM. For comparisons between two groups, Student’s two-tailed t-test used. See also Figure S1.
Figure 2.
Figure 2.. Neoantigen expression accelerates PDAC progression but restrains lung adenocarcinomas
(A) Representative H&E images with quantification of lesions in early stage KPC-OG and KPC mice. n=12 mice/group. (B) Lesion grades for early stage KPC-OG and KPC pancreata. n=12 mice/group. (C) Sirius Red staining with quantification in KPC-OG and KPC mice. n=12 mice/group. (D) αSMA staining with quantification in KPC-OG and KPC mice. n=12 mice/group. (E) Flow cytometric quantification of various myeloid infiltrates in KPC-OG and KPC mice. n=5–6 mice/group. (F) Kaplan-Meier survival curve for KPPC-OG mice compared to KPPC littermates. n=14–20 mice/group. (G) Representative histology of late stage KPC-OG and KPC tumors with quantification of high-grade tumors. n=14–16 mice/group. (H) Representative H&E images of late stage KPC-OG and KPC livers with quantification of metastases. n=14 mice/group. (I) Kaplan-Meier survival curve for Pdx1-Cre-ER™-driven iKPC-OG mice compared to iKPC littermates, with quantification of liver metastases. n=8–10 mice/group. (J) Density of CD8+ T cells in early stage KPL-OG and KPL lung lesions. n=5 mice/group. (K) Representative H&E images of early stage KPL-OG and KPL lung with quantification of lesion area and grade. Lesions demarcated by yellow line. n=5 mice/group. (L) Representative immunofluorescence images and quantification of GFP (green) expression in CK19+ (red) tumors of late stage KPC-OG or KPL-OG tumors. GFP-negative lesions in KPL-OG tumors are demarcated by yellow arrowhead. n=6–8 mice/group. (M) Overall survival since start of treatment for KPPC-OG mice undergoing OT-I adoptive transfer therapy, compared to untreated controls. n=10–18 mice/group. (N) Representative immunofluorescence images and quantification of GFP (green) expression in CK19+ (red) tumors of KPPC-OG mice subjected to OT-I adoptive transfer, compared to untreated controls. n=6 mice/group. Data were consistent across two independent experiments. Scale bar denotes 500 μm in (A), (C), (D), (G), (H) and (K); 100 μm in (L) and (N). n.s., not significant; *p < 0.05, **p < 0.01. Data is presented as mean ± SEM. For comparisons between two groups, Student’s two-tailed t-test used. For survival analyses, Log-rank (Mantel-Cox) test used. See also Figure S2, Table S1 and S2.
Figure 3.
Figure 3.. Pro-inflammatory CD4+ T cell responses drive PDAC acceleration in response to neoantigen
(A) Representative H&E images with quantification of pancreatic lesion area (TOP) and grade (BOTTOM) in early stage KPC-OG mice subjected to depletion of CD4+ T cells or CD19+B220+ B cells. n=8–12 mice/group. (B) Sirius Red staining with quantification in early stage KPC-OG mice subjected to indicated depletions. n=8–12 mice/group. (C) αSMA staining with quantification in early stage KPC-OG mice subjected to indicated depletions. n=8–12 mice/group. (D) Representative flow cytometry plots of RORγt and GATA3 bias in TH cells of KPC-OG and KPC tumors, with cellular density of RORγt+ TH17 and GATA3+ TH2 cells quantified. n=3–6 mice/group. (E) Representative flow cytometry plots of IL-17A and TNF-α expression in TH cells of KPC-OG and KPC tumors, with cellular density quantified. n=3–6 mice/group. (F) Representative H&E image with quantification of pancreatic lesion area of early stage KPC-OG mice subjected to IL-17A and IL-17F neutralization. n=8–10 mice/group. (G) Representative Sirius Red staining of KPC-OG mice subjected to IL-17A, IL-17F neutralization, with quantification. n=8–10 mice/group. (H) Representative αSMA staining of KPC-OG mice subjected to IL-17A, IL-17F neutralization, with quantification. n=8–10 mice/group. (I) Representative p-ERK1/2, p-STAT3, p-EGFR immunohistochemistry staining in KPC-OG mice subjected to indicated depletions, with quantification over overall tissue area and lesion area. n=8–10 mice/group. Data were consistent across two independent experiments and pooled. Scale bar denotes 500 μm. n.s., not significant; *p < 0.05, **p < 0.01. Data is presented as mean ± SEM. For comparisons between two groups, Student’s two-tailed t-test used. See also Figure S3.
Figure 4.
Figure 4.. cDCs are fewer and less functional in PDAC compared to lung cancer
(A) Heat map depicting mean density (log-scale) of major myeloid cell infiltrates in advanced KPC/OG pancreatic and KPL/OG lung tumors. n=5–10 mice/group. (B) CD103+ cDC1 and CD11b+ cDC2 density in pancreas and lung tumors, at (LEFT) early stage and (RIGHT) late stage. n=5–10 mice/group. (C) Migratory cDC1 and cDC2 density in respective draining lymph nodes of late stage KPC-OG pancreatic tumors and KPL-OG lung tumors. n=7 mice/group. (D) Immunohistochemistry for tumor cytokeratin (CK7/19) expression, and Zbtb46-GFP+ (pink) cDCs in late stage KPC or KPL bone marrow chimeras. RIGHT: Zbtb46-GFP+ cDC density in non-tumor (WT) tissue and late stage tumors. FAR RIGHT: Snx22-GFP+ cDC1 density in WT and late stage tumors. n=4–6 mice/group. (E) Frequency distribution of Zbtb46-GFP + cDC and Snx22-GFP+ cDC1 proximity to nearest CK7/19+ tumor cell. n=3–5 mice/group. (F) Tumoral cDC1 density (log-scale) plotted against OVA-specific CD8+ T cell density (log-scale) across tissue and stage. RIGHT: OVA-specific CD8+ T cell density in early and late stage tumors. n=5–8 mice/group. (G) Phenograph of CD45+ immune infiltrates from human PDAC patient CyTOF samples (pooled), with quantification of individual cellular fractions (log-scale). n=11. (H) Z-normalized cDC1 infiltration score between pancreatic (PAAD, n=177) and lung (LUAD, n=230) adenocarcinoma based on conserved cDC1 gene signature. (I) Representative histogram indicating ZsGreen in migratory cDC1s and cDC2s from respective draining lymph nodes of KPC-Z or KPL-Z tumors at denoted time points. RIGHT: percentage of migratory cDC subsets that have ZsGreen antigen in respective lymph nodes at denoted time points. n=3–4 mice/group. (J) Density of OVA-specific CD8+ T cells in draining lymph nodes of early stage tumors. n=5–8 mice/group. Data were consistent across two independent experiments, except in (A), (B), and (F)–(H) where they were pooled across multiple experiments. Scale bar denotes 100 μm. n.s., not significant; *p < 0.05, **p < 0.01. Data is presented as mean ± SEM, except in (H) where box plot denotes 10th to 90th percentile, middle line indicates median, range lines indicate maximal values, and data points beyond indicate outliers (>1.5X range). For comparisons between any two groups, Student’s two-tailed t-test used. Frequency distributions were compared using non-parametric Kolmogorov-Smirnov test. See also Figure S4.
Figure 5.
Figure 5.. Mobilizing cDCs into early pancreatic lesions can reverse fibro-inflammatory responses
(A) Schematic of Flt3L administration in KPC-OG mice (starting at P30), with quantification of cDC1 and cDC2 density in pancreata of KPC-OG mice either treated or not with Flt3L and control KPC mice. n=5–6 mice/group. (B) Representative H&E images of early stage KPC-OG mice either treated or not with Flt3L, with quantification of lesion area. n=8–12 mice/group; mice from figure 2 included in this and following analyses. (C) Sirius Red staining with quantification in KPC-OG mice either treated or not with Flt3L. n=8–12 mice/group. (D) αSMA staining with quantification in KPC-OG mice either treated or not with Flt3L. n=8–12 mice/group. (E) Density of RORγt + TH17 and GATA3+ TH2 cells in early stage KPC-OG mice treated as indicated. n=3–6 mice/group. (F) Representative flow cytometry plots of IL-17A and TNF-α expression in TH cells of KPC-OG mice either treated or not with Flt3L, with IL-17A+ and TNF-α+ IL-17A+ TH cellular density quantified. n=3–6 mice/group. (G) Representative immunohistochemistry of CD8+ T cells (brown) and CK19+ tumor lesions (pink) in early stage KPC-OG mice either treated or not with Flt3L, n=6 mice/group. (H) Cumulative CD8+ T cell density within 30 μm of CK19+ lesions, and distribution of CD8+ T cell proximity to nearest tumor cell in KPC-OG mice treated as indicated. n=6 mice/group. (I) Density of IFN-γ+ TNF-α+ cytotoxic CD8+ T cells in KPC-OG mice treated as indicated. n=6 mice/group. (J) Representative H&E images of early stage KPC-OG mice treated with Flt3L and anti-CD8 or anti-IFN-γ depletion antibodies, with quantification of lesion area. n=7–12 mice/group. Data were consistent across two independent experiments, except in (B)–(D) and (H)–(J) where they were pooled across multiple experiments. Scale bar denotes 500 μm in (B), (C), (D), and (J); denotes 100 μm in (G). n.s., not significant; *p < 0.05, **p < 0.01. Data is presented as mean ± SEM. For comparisons between any two groups, Student’s two-tailed t-test used. Frequency distributions were compared using non-parametric Kolmogorov-Smirnov test. See also Figure S5.
Figure 6.
Figure 6.. Enhancing cDC infiltration and activation in established PDAC leads to disease stabilization
(A) Schematic of Flt3L administration in ultrasound-diagnosed KPPC-OG mice. n=5–8 mice/group. (B) Density of (LEFT) CD103+ cDC1s, CD11b+ cDC2s in tumors, and (RIGHT) migratory cDC1, cDC2 populations in respective dLNs of KPPC-OG mice treated with Flt3L. n=5–8 mice/group. (C) Density of CD8+ T cells, CD4+ TH cells and frequency of CD4+ TREG in tumors of KPPC-OG mice treated with Flt3L. n=5–8 mice/group. (D) Density of cDC1s and cDC2s in tumors of KPPC-OG mice treated as described. n=7–8 mice/group. (E) Density of CD8+ T cells and CD4+ TH cells and frequency of CD4+ TREGS in tumors of KPPC-OG mice treated as described. n=7–8 mice/group. (F) Density of OVA-specific CD8+ T cells in tumors of treated KPPC-OG mice. n=5–8 mice/group. (G) Representative immunohistochemistry of CD8+ T cells (brown) and CK19+ tumor lesions (pink) in KPPC-OG mice treated as indicated. RIGHT: cumulative CD8+ T cell density within 50 μm of CK19+ lesions. n=5–8 mice/group. (H) Density of tumor-infiltrating NK cells, NKT cells and γδ-T cells in treated KPPC-OG mice. n=5–8 mice/group. (I) Representative flow histogram indicating ZsGreen in migratory cDC1s from draining nodes of KPPC-Z treated as indicated. RIGHT: absolute number of migratory cDC subsets that have ZsGreen. n=3–4 mice/group. (J) Density of OVA-specific CD8+ T cell in draining lymph nodes of treated KPPC-OG mice. n=5–8 mice/group. (K) Tumor growth quantified by ultrasound measurements over 2 weeks of treatment. RIGHT: Individual traces of untreated and anti-CD40 plus Flt3L combination cohorts. n=5–8 mice/group. (L) Representative Masson’s trichrome staining with quantification in KPPC-OG mice treated as denoted. n=5–8 mice/group. (M) Representative α-SMA staining with quantification in KPPC-OG mice treated as denoted. n=5–8 mice/group. Data were pooled across multiple independent experiments for all treatments. Scale bar denotes 100 μm in ; bar denotes 500 μm in (L) and (M). n.s., not significant; *p < 0.05, **p < 0.01. Data is presented as mean ± SEM. For comparisons between any two groups, Student’s two-tailed t-test used. See also Figure S6.
Figure 7.
Figure 7.. cDC-directed therapy renders PDAC responsive to radiation therapy
(A) Dosage schema for administration of radiation (RT) in KPPC-OG mice treated with Flt3L and anti-CD40 upon ultrasound-based tumor diagnosis at day 0. (B) KPPC-OG tumor growth kinetics quantified by ultrasound measurements over 2 weeks of treatment. n=8 mice/group. (C) Percentage change in KPPC-OG tumor volume after RT (day 7 to day 14) with representative ultrasound images. n=8 mice/group. (D) Dosage schema for radiation (RT) in orthotopic Kras-Ink model treated with Flt3L and anti-CD40 upon tumor diagnosis. (E) Kras-Ink tumor growth kinetics quantified by ultrasound measurements over 2 weeks of treatment. n=8 mice/group. (F) Percentage change in Kras-Ink tumor volume after RT (day 6 to day 13). n=8 mice/group. (G) Kaplan-Meier survival curve for Kras-Ink orthotopic tumor-bearing mice undergoing RT-alone or RT in conjunction with Flt3L and anti-CD40. n=9–14 mice/group. (H) Dosage schema for administration of radiation (RT) in KPPC mice treated with Flt3L and anti-CD40 upon ultrasound-based tumor diagnosis at day 0. (I) KPPC tumor growth kinetics quantified by ultrasound measurements over 5 weeks since starting treatment. n=8 mice/group. (J) Kaplan-Meier survival curve for KPPC mice undergoing RT alone or RT in conjunction with Flt3L and anti-CD40. n=10–16 mice/group. Data were pooled across multiple experiments for (A)–(C), (H)–(J), and representative of two independent experiments for (D)–(G). Scale bar denotes 5 mm. n.s., not significant; *p < 0.05, **p < 0.01. Data is presented as mean ± SEM. For comparisons between any two groups, Student’s two-tailed t-test used. See also Figure S7.

Comment in

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