Abstract
Immunosuppressive tumor microenvironments can restrain antitumor immunity, particularly in pancreatic ductal adenocarcinoma (PDA). Because CD40 activation can reverse immune suppression and drive antitumor T cell responses, we tested the combination of an agonist CD40 antibody with gemcitabine chemotherapy in a small cohort of patients with surgically incurable PDA and observed tumor regressions in some patients. We reproduced this treatment effect in a genetically engineered mouse model of PDA and found unexpectedly that tumor regression required macrophages but not T cells or gemcitabine. CD40-activated macrophages rapidly infiltrated tumors, became tumoricidal, and facilitated the depletion of tumor stroma. Thus, cancer immune surveillance does not necessarily depend on therapy-induced T cells; rather, our findings demonstrate a CD40-dependent mechanism for targeting tumor stroma in the treatment of cancer.
Pancreatic ductal adenocarcinoma (PDA) remains an almost universally lethal disease; chemotherapy offers minimal benefit over best supportive care for patients who are not surgical candidates (1). We have previously demonstrated that leukocytes actively infiltrate the stromal compartment of PDA, even at the earliest stages of tumor development, and orchestrate an immune reaction that is immunosuppressive (2). In this study, we investigated the reversibility of this immune suppression, hypothesizing initially that doing so would unleash tumor-specific cellular immunity to eliminate PDA. Activation of the tumor necrosis factor (TNF) receptor superfamily member CD40 has been shown to be a key regulatory step in the development of T cell–dependent antitumor immunity, which relies on CD40-mediated “licensing” of antigen-presenting cells (APCs) for tumor-specific T cell priming and activation (3–8).
On the basis of this premise, we investigated in both humans and mice whether systemic CD40 activation with an agonist CD40 monoclonal antibody (mAb) can circumvent tumor-induced immune suppression and invoke productive T cell–dependent antitumor immunity in PDA. We first evaluated the clinical impact of CD40 activation by performing a clinical trial of the fully human agonist CD40 mAb CP-870,893 (9) in combination with gemcitabine chemotherapy (2′-deoxy-2′,2′-difluorocytidine) for patients with chemotherapy-naïve, surgically incurable PDA (10). We tested CP-870,893 with gemcitabine because chemotherapy delivered before an agonist CD40 mAb can facilitate enhanced tumor antigen presentation by APCs (11–14). Twenty-one patients (90% with metastatic disease) received gemcitabine weekly on days 1, 8, and 15 with CP-870,893 administered on day 3 of each 28-day cycle (fig. S1). Treatment was well tolerated overall (fig. S2), and the most common side effect was mild-to-moderate cytokine release syndrome characterized by chills, fevers, rigors, and other symptoms on the day of CP-870, 893 infusion. Symptoms were transient (<24 hours) and managed in the outpatient clinic with supportive care.
The impact of therapy on the primary and metastatic lesions was evaluated using two standard modalities: (i) [18F]2-fluoro-2-deoxy-D-glucose (FDG) avidity on positron emission tomography–computed tomography (PET-CT) as a measure of an on-target biological effect of therapy and (ii) CT imaging for Response Evaluation Criteria in Solid Tumors (RECIST) assessment. Metabolic responses were observed by FDG–PET-CT in both the primary and meta-static lesions in 88% of patients evaluated after two cycles of therapy (fig. S3). By RECIST, 4 out of 21 patients developed a partial response (PR), 11 patients had stable disease (SD), and 4 patients had progressive disease (PD) (Fig. 1A). Two patients were not evaluable on study for tumor response. One of these patients (patient 10031010) was taken off the study protocol after one dose of CP-870,893 because of a grade 4 cerebrovascular accident but recovered neurologically and restarted gemcitabine alone and achieved a PR. The second patient (patient 10031001) had clinical deterioration from disease progression, and posttherapy CT imaging was not obtained. The median progression-free survival (PFS) for the 21 patients was 5.6 months (95% confidence interval, 4.0 months to not estimable), and the median overall survival (OS) was 7.4 months (95% confidence interval, 5.5 to 12.8 months). Median PFS and OS are based on interim data as of 25 August 2010, with 6 of 21 patients alive. Gemcitabine alone achieves a historical tumor response rate of 5.4%, with median PFS of 2.3 months and median OS of 5.7 months (1). Therefore, treatment with CP-870,893 and gemcitabine showed therapeutic efficacy in patients with metastatic PDA.
One patient with a PR showed a 46% reduction in the primary pancreatic lesion, complete resolution of a 7.6-cm hepatic metastasis, and 47% reduction in the one remaining hepatic metastasis (Fig. 1B). Upon biopsy after four cycles of therapy, this remaining liver lesion showed no viable tumor. Instead, we observed necrosis and an infiltrate dominated by macrophages with an absence of lymphocytes (Fig. 1C). A second patient with a PR underwent surgical resection of the primary tumor after achieving a complete resolution of all hepatic metastases and a 64% reduction in the primary pancreatic lesion. Histological analysis of the resected primary lesion revealed a cellular infiltrate devoid of lymphocytes (Fig. 1C). Such tumor regression without lymphocyte infiltration was unexpected on the basis of results from implantable tumor models, where CD40-induced antitumor activity is dependent on T cells (6–8). Therefore, to understand the mechanism of CD40-mediated tumor regression, we turned to a spontaneous mouse model of PDA.
The KPC model of PDA is a genetically engineered mouse model that incorporates the conditional expression of both mutant KrasG12D and p53R172H alleles in pancreatic cells (15). Because immunocompetent KPC mice spontaneously develop PDA tumors that display high fidelity to the histopathologic and molecular features of human PDA (15), the KPC model is thought to be relevant for understanding treatment mechanisms in patients (16, 17). We therefore modeled our clinical study in KPC mice by evaluating the therapeutic efficacy of gemcitabine weekly with the agonist CD40 mAb FGK45 administered 48 hours after the first infusion of gemcitabine. Tumor response was monitored by three-dimensional ultrasonography (fig. S4) (10). We found that the combination of FGK45 with gemcitabine induced tumor regression in 30% of mice (Fig. 2A), similar to the objective response rate in our patients. Treatment with FGK45 alone resulted in the same rate of tumor regression, whereas gemcitabine alone did not (Fig. 2A).
Activation of the CD40 pathway is a critical event in the development of tumor-specific T cell immunity (18). To test whether CD40 immunotherapy is dependent on T cell activation, we examined the function of T cells isolated from the spleen and pancreas (including tumor and peripancreatic lymph nodes) of KPC mice. Seven days after treatment with FGK45, both CD4+ and CD8+ T cells of KPC mice acquired an increased capacity to secrete cytokines, including interferon-γ (IFN-γ) and interleukin IL-17A (fig. S5A); however, FGK45 induced the same rate of tumor regression in KPC mice in the absence of CD4+ or CD8+ cells or both CD4+ and CD8+ cells (Fig. 2A). This was unexpected given the established link between CD40 activation and the development of productive anti-tumor T cell immunity (6–8). Histopathological appearance of tumors from responder compared with nonresponder animals at day 14 was similar overall, with the exception that tumors were smaller in responder animals (Fig. 2, B to E). CD3+ T cells were not observed to infiltrate tumors in KPC mice at baseline or at any time after treatment with FGK45 (Fig. 2, F to H). Instead, CD3+ T cells remained localized to peripancreatic lymph nodes situated adjacent to developing tumors (Fig. 2, E and I). Moreover, when the whole pancreas was resected en bloc with peripancreatic lymph nodes, CD3+ T cells did not change in frequency before and after therapy (fig. S5, B and C). Thus, activation of the CD40 pathway does not trigger T cell infiltration into tumors and is insufficient to induce productive antitumor T cell immunity in the KPC model.
CD40 is expressed on a wide range of leukocytes including monocytes, tissue macrophages, B cells, and dendritic cells and can also be found on some tumors (19). By immunohistochemistry, we found that PDA cells were CD40-negative, whereas cells in the tumor stroma expressed CD40, particularly F4/80+ tumor-associated macrophages (fig. S6). We therefore investigated the impact of CD40 immunotherapy on F4/80+ macrophages in KPC mice. Within 18 hours of administration, FGK45 induced a transient depletion of macrophages from the peripheral blood, with subsequent accumulation in the spleen (fig. S7, A and B). To test whether CD40 mAb initially engages CD40 on peripheral blood macrophages, which then migrate into tissues, we compared the biodistribution of FGK45 with that of RB6-8C5, a mAb used as a control and specific for Gr-1 expressed on granulocytes and immature myeloid cells in peripheral blood (fig. S7, C and D). Within 2 to 10 min after systemic administration of RB6-8C5, Gr-1+ cells in the peripheral blood were found to be coated with antibody (fig. S8A). In contrast, FGK45 was not found on the cell surface of F4/80+ macrophages in peripheral blood (fig. S8A) nor was FGK45 internalized after binding to CD40 (fig. S8B). Instead, at 10 min, FGK45 was observed bound to leukocytes residing within the spleen, lymph nodes, and pancreas of KPC mice (fig. S9A). Within the tumor microenvironment, FGK45 was found initially to localize to peripancreatic lymph nodes (Fig. 3, A and B) and not the tumor (Fig. 3, A and C), in contrast to RB6-8C5, which bound leukocytes in the tumor periphery as early as 10 min after treatment (Fig. 3D). At 18 hours, FGK45 was observed bound to F4/80+ macrophages infiltrating the tumor but not lymph nodes (Fig. 3, A, E, and F; and fig. S9, B and C). The binding of FGK45 to leukocytes within the tumor microenvironment was found to occur in clusters of cells rather than diffusely. We observed no change in the frequency of macrophages in the pancreas after FGK45 treatment (fig. S10). To determine whether FGK45 binds to macrophages before their infiltration of tumors, we treated KPC mice with clodronate-encapsulated liposomes (CELs) to deplete systemic macrophages (fig. S11A). Because liposomes are not capable of traversing vascular barriers produced by capillary walls, CELs do not diffuse into tissues (20) and, therefore, do not deplete macrophages within tumors (fig. S11, B to E). When KPC mice were treated with CELs, however, FGK45 labeling was no longer detectable in the tumors (Fig. 3, A and G), despite the continued presence of CD40+ macrophages within the tumor. These findings support the hypothesis that FGK45 binds to macrophages before their migration into tumors.
Depending on their phenotype, macrophages can either promote or inhibit tumor progression (21, 22). In the absence of any treatment, we found that tumor-associated macrophages were activated and capable of secreting IL-10, TNF-α, and IL-6 but had reduced expression of MHC class II molecules compared with splenic macrophages from tumor-bearing KPC mice and normal littermates (fig. S12). After treatment with FGK45, macrophages in KPC tumors and spleens in tumor-bearing KPC mice up-regulated MHC class II and the costimulatory molecule CD86 with expression levels peaking at day 3 and returning to baseline after 7 days (Fig. 3H, and figs. S13 and S14). These changes coincided with a cytokine surge on day 1 after FGK45 treatment, with elevated serum levels of IL-12, TNF-α, and IFN-γ, but not IL-10, in KPC animals (fig. S15).
To determine whether macrophages were necessary for CD40-mediated tumor regression, we depleted systemic macrophages from KPC mice with CELs. Treatment with CELs abolished the capacity of FGK45 to induce tumor regression (Fig. 4A). Macrophages isolated from the pancreas of tumor-bearing KPC animals treated in vivo with FGK45 lysed tumor cells in vitro (Fig. 4B). This finding correlated with in vivo observations of cleaved caspase 3 expression in focal areas of the tumor at 18 hours after treatment with FGK45 (Fig. 4C). At this time after treatment, regions of the tumor stroma and associated fibrosis appeared to be undergoing involution (Fig. 4, D to G). These regions displayed a decrease in collagen I content, consistent with degradation of the tumor matrix (Fig. 4, H and I). In KPC mice depleted of systemic macrophages using CELs, FGK45 treatment failed to induce stromal degradation (Fig. 4, J to L). These findings identify a novel mechanism whereby the CD40 pathway can be harnessed therapeutically to restore tumor immune surveillance by targeting tumor-infiltrating macrophages involved in cancer inflammation.
PDA is a common, devastating, and highly lethal tumor for which new therapies are critically needed. Our findings identify a previously unappreciated role for the CD40 pathway in regulating the immune reaction and fibrosis associated with PDA by reeducation of tumor-associated macrophages. Mechanistically, CD40 agonists altered tumor stroma and, in both mice and humans, showed efficacy against PDA. Although tumor-suppressing macrophages have been previously described (22), their role has been largely linked to the orchestration of T cell antitumor immunity. In this study, CD40 activation was, by itself, insufficient for invoking productive antitumor T cell immunity, and we hypothesize that full engagement of T cell immunity in PDA after CD40 activation will require modulation of additional tumor and host factors or the incorporation of novel vaccines (23). Our results emphasize that tumor immunosurveillance can at times be governed strictly by innate immunity under the regulation of the CD40 pathway and support the continued development of emerging therapeutic strategies that target inflammatory cells and stroma within the tumor microenvironment.
Supplementary Material
Acknowledgments
We thank C. Abrams, E. Furth, C. June, B. Keith, G. Koretzky, C. Simon, and B. Stanger for helpful discussions. This research was supported by the Abramson Family Cancer Research Institute of the University of Pennsylvania School of Medicine (R.H.V.) and by NIH grants P30 CA016520 (P.J.O. and R.H.V.) and K12 CA076931 (G.L.B.). The clinical study and part of the preclinical studies were supported by funding from Pfizer Corp (to R.H.V. and P.J.D). W. Song, D. Li, and L. L. Sharp are employees of Pfizer Corp. P. J. O’Dwyer discloses receiving honoraria from Pfizer; D. A. Torigian owns stock in Pfizer. CP-870,893 is owned and patented by Pfizer Corp., which manages its distribution. Although now at a new address, R. D. Huhn was affiliated with Pfizer Corp. during the conduct and analysis of this study. Some of the clinical data were presented at the 2010 American Society of Clinical Oncology Annual Meeting.
Footnotes
References and Notes
- 1.Burris HA, 3rd, et al. J Clin Oncol. 1997;15:2403. doi: 10.1200/JCO.1997.15.6.2403. [DOI] [PubMed] [Google Scholar]
- 2.Clark CE, et al. Cancer Res. 2007;67:9518. doi: 10.1158/0008-5472.CAN-07-0175. [DOI] [PubMed] [Google Scholar]
- 3.Schoenberger SP, Toes RE, van der Voort EI, Offringa R, Melief CJ. Nature. 1998;393:480. doi: 10.1038/31002. [DOI] [PubMed] [Google Scholar]
- 4.Bennett SR, et al. Nature. 1998;393:478. doi: 10.1038/30996. [DOI] [PubMed] [Google Scholar]
- 5.Ridge JP, Di Rosa F, Matzinger P. Nature. 1998;393:474. doi: 10.1038/30989. [DOI] [PubMed] [Google Scholar]
- 6.French RR, Chan HT, Tutt AL, Glennie MJ. Nat Med. 1999;5:548. doi: 10.1038/8426. [DOI] [PubMed] [Google Scholar]
- 7.Diehl L, et al. Nat Med. 1999;5:774. doi: 10.1038/10495. [DOI] [PubMed] [Google Scholar]
- 8.Sotomayor EM, et al. Nat Med. 1999;5:780. doi: 10.1038/10503. [DOI] [PubMed] [Google Scholar]
- 9.Vonderheide RH, et al. J Clin Oncol. 2007;25:876. doi: 10.1200/JCO.2006.08.3311. [DOI] [PubMed] [Google Scholar]
- 10.Materials and methods are available as supporting material on Science Online.
- 11.Nowak AK, Robinson BW, Lake RA. Cancer Res. 2003;63:4490. [PubMed] [Google Scholar]
- 12.Lake RA, Robinson BW. Nat Rev Cancer. 2005;5:397. doi: 10.1038/nrc1613. [DOI] [PubMed] [Google Scholar]
- 13.Gabrilovich DI. Lancet Oncol. 2007;8:2. doi: 10.1016/S1470-2045(06)70985-8. [DOI] [PubMed] [Google Scholar]
- 14.Zitvogel L, et al. J Clin Invest. 2008;118:1991. doi: 10.1172/JCI35180. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Hingorani SR, et al. Cancer Cell. 2005;7:469. doi: 10.1016/j.ccr.2005.04.023. [DOI] [PubMed] [Google Scholar]
- 16.Olive KP, et al. Science. 2009;324:1457. doi: 10.1126/science.1171362. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Van Dyke T. Nat Med. 2010;16:976. doi: 10.1038/nm0910-976. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Vonderheide RH. Clin Cancer Res. 2007;13:1083. doi: 10.1158/1078-0432.CCR-06-1893. [DOI] [PubMed] [Google Scholar]
- 19.van Kooten C, Banchereau J. J Leukoc Biol. 2000;67:2. doi: 10.1002/jlb.67.1.2. [DOI] [PubMed] [Google Scholar]
- 20.Van Rooijen N, Sanders A. J Immunol Methods. 1994;174:83. doi: 10.1016/0022-1759(94)90012-4. [DOI] [PubMed] [Google Scholar]
- 21.Coussens LM, Werb Z. Nature. 2002;420:860. doi: 10.1038/nature01322. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Mantovani A, Sica A. Curr Opin Immunol. 2010;22:231. doi: 10.1016/j.coi.2010.01.009. [DOI] [PubMed] [Google Scholar]
- 23.Jaffee EM, et al. J Clin Oncol. 2001;19:145. doi: 10.1200/JCO.2001.19.1.145. [DOI] [PubMed] [Google Scholar]
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