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Tumor Biology and Immunology

Combined Blockade of IL6 and PD-1/PD-L1 Signaling Abrogates Mutual Regulation of Their Immunosuppressive Effects in the Tumor Microenvironment

Hirotake Tsukamoto, Koji Fujieda, Azusa Miyashita, Satoshi Fukushima, Tokunori Ikeda, Yosuke Kubo, Satoru Senju, Hironobu Ihn, Yasuharu Nishimura and Hiroyuki Oshiumi
DOI: 10.1158/0008-5472.CAN-18-0118 Published September 2018

Abstract

Recently emerging cancer immunotherapies combine the applications of therapeutics to disrupt the immunosuppressive conditions in tumor-bearing hosts. In this study, we found that targeting the proinflammatory cytokine IL6 enhances tumor-specific Th1 responses and subsequent antitumor effects in tumor-bearing mice. IL6 blockade upregulated expression of the immune checkpoint molecule programmed death-ligand 1 (PD-L1) on melanoma cells. This PD-L1 induction was canceled in IFNγ-deficient mice or CD4+ T cell–depleted mice, suggesting that CD4+ T cell–derived IFNγ is important for PD-L1 induction in tumor-bearing hosts. In some patients with melanoma, however, treatment with the anti–PD-1 antibody nivolumab increased systemic levels of IL6, which was associated with poor clinical responses. This PD-L1 blockade-evoked induction of IL6 was reproducible in melanoma-bearing mice. We found that PD-1/PD-L1 blockade prompted PD-1+ macrophages to produce IL6 in the tumor microenvironment. Depletion of macrophages in melanoma-bearing mice reduced the levels of IL6 during PD-L1 blockade, suggesting macrophages are responsible for the IL6-mediated defective CD4+ Th1 response. Combined blockade of the mutually regulated immunosuppressive activities of IL6 and PD-1/PD-L1 signals enhanced expression of T cell–attracting chemokines and promoted infiltration of IFNγ-producing CD4+ T cells in tumor tissues, exerting a synergistic antitumor effect, whereas PD-L1 blockade alone did not promote Th1 response. Collectively, these findings suggest that IL6 is a rational immunosuppressive target for overcoming the narrow therapeutic window of anti–PD-1/PD-L1 therapy.

Significance: These findings advance our understanding of IL6-PD1/PD-L1 cross-talk in the tumor microenvironment and provide clues for targeted interventional therapy that may prove more effective against cancer. Cancer Res; 78(17); 5011–22. ©2018 AACR.

Introduction

Melanoma is one of the leading causes of cancer mortality. Surgery, radiotherapy, and/or systemic therapies including targeted drugs offer a chance for cure in patients with early-stage melanoma, but the vast majority of patients with advanced or metastatic diseases are rarely cured (1). In such situations, there are strong correlations between the number or type of tumor-infiltrating T cells and favorable outcomes (2). However, the spontaneous antitumor immune response is relatively weak because of the detrimental effects of immunosuppressive factors or cells such as regulatory T cells (Treg), tumor-associated macrophages (TAM), and myeloid-derived suppressor cells (MDSC; ref. 3). Ligation of programmed cell death (PD)-1 on tumor-specific T cells with its ligands, PD-L1, is also involved in tumor-induced immunosuppression (4). Treatment with antibodies (Ab) that disrupts this interaction has provided dramatic objective response rates ranging from 30% to 40% in patients with advanced melanoma (4–6). However, although some clinical studies suggested that PD-L1 expression in tumor tissues was correlated with the response to this therapy (6), a substantial population of patients do not respond despite the measurable PD-L1 expression (4, 5). These observations raise the requirement of strategies to predict which patients will benefit from these agents and to overcome the insufficient therapeutic efficacy in nonresponders.

Many comprehensive studies have shown that IFNγ-producing CD4+ Th1 cells exert a critical role in antitumor responses (7–10), and thus, their infiltration into tumor tissue is an indicator of better prognosis (11). In contrast, patients with cancer have profound systemic Th2 bias rather than Th1 polarization (12, 13). Notably, a beneficial effect induced by PD-1/PD-L1 blockade is not obvious in CD4+ T cell–mediated antitumor Th1 responses in vivo (14, 15), although cytotoxic activity, proliferation, and IFNγ production in both CD8+ and CD4+ T cells were recovered by inhibiting the PD-1/PD-L1 interaction in vitro (16, 17). Furthermore, the effect of PD-1/PD-L1 blockade on other immune cells in tumor microenvironment remains unclear, despite the PD-1 expression in some myeloid cells such as macrophages (18). A better understanding of the effect of PD-1/PD-L1 blockade on these tumor-associated immune cells is required to design a rationale-based strategy for improving its therapeutic efficacy.

Inflammation is closely linked to the prognosis of patients with cancer. Chronically elevated levels of proinflammatory cytokine, IL6, which promotes tumor cell survival, is a poor prognostic factor in patients with many types of cancers including melanoma (9, 19, 20). Hence, a therapeutic approach for IL6 blockade using humanized IL6/IL6R Abs has been developed to abrogate its direct effect on tumor growth/survival (20). In addition, tumor cell–extrinsic effects of IL6 have been demonstrated in antitumor immune responses through myeloid-lineage cells and T cells (8, 9, 21, 22). Furthermore, the higher level of IL6, which is referred to as cytokine release syndrome ranged from mild to life-threatening symptoms, is observed in some patients undergoing immunotherapies such as adoptive T-cell transfer (23) or PD-1 blockade (24, 25). However, the antitumor immunologic relevance of inflammation in such potent immunotherapies remains unclear.

In this study, we found that anti-IL6 Ab treatment augmented Th1 responses, but in turn, induced upregulation of PD-L1 expression on melanoma cells through CD4+ T cell–derived IFNγ. On the other hand, treatment with anti–PD-L1 Ab prompted TAMs to produce IL6 counteracting Th1 responses in melanoma-bearing mice. Consistent with this, vigorous increase of circulating IL6 was observed in a certain population of patients with melanoma treated with anti–PD-1 therapy, which was associated with a poor clinical response to this therapy. These findings suggest that combined blockade of IL6 signaling and PD-1/PD-L1 pathways disrupts the mutual “see-saw” interplay between these immunosuppressive events, resulting in synergistic antitumor effects.

Materials and Methods

Mice, tumor cells, and Ab treatment

Male C57BL/6NCrSlc and Balb/cCrSlc mice were purchased from Japan SLC, Inc. IL6-deficient mice were obtained from The Jackson Laboratory. All the mice including IFNγ-deficient mice (26) were housed at the Center for Animal Resources and Development, Kumamoto University (Kumamoto, Japan), and all the experimental procedures were approved by the Institutional Animal Committee of Kumamoto University and performed in accordance with the guidelines.

B16-F10 melanoma and CT26 colon carcinoma were authenticated by simple sequence length polymorphism or isozyme analysis and provided by the Cell Resource Center for Biomedical Research Institute of Development, Aging, and Cancer (Tohoku University, Sendai, Japan), and RIKEN BRC Cell Bank, respectively. Ovalbumin (OVA)-expressing melanoma MO4 (27) were kindly provided by Dr. Kenneth L. Rock (Department of Pathology, University of Massachusetts Medical School, Worcester, MA). RMA lymphoma (9, 28) was kindly provided by Dr. Akira Shibuya (Department of Immunology, University of Tsukuba, Tsukuba, Japan). These cell lines were not further authenticated, and Mycoplasma testing on these cell lines was not performed in our laboratory. However, routine confirmation of in vitro growth properties, morphology, and tumor formation in syngeneic mouse strain provide evidence of correct cell identity. Mice were inoculated subcutaneously with 3 × 105 B16-F10, CT26, MO4, or RMA. Tumor size was expressed as tumor index, which is the square root of (length × width) (21). A total of 200 μg of control IgG Ab (Millipore), anti-IL6 (MP5-20F3, Bio X Cell), and/or anti–PD-L1 Abs (10F.9G2, Bio X Cell) were injected intraperitoneally. For in vivo depletion, mice were injected with anti-CD4 Ab (100 μg/mouse, GK1.5, TONBO) one day before and 3 or 6 days after tumor inoculation. A total of 200 μg of anti-F4/80 (CI:A3-1, Bio X Cell) was injected twice every other day starting at 7 days after tumor inoculation.

Patients

Inclusion criteria for treatment with the anti–PD-1 Ab nivolumab were patients with unresectable metastasis (stage IV, n = 16). Nivolumab was administrated at 3 mg/kg bodyweight every 2 weeks. The evaluable clinical responses with a follow-up period of at least 3 months were indicated as complete response (CR), partial response (PR), stable disease (SD), and progressive disease (PD) based on the RECIST version 1.1 with some modifications in continuation and response assessment of immunotherapy (29). The cases were collected from January 20, 2016, to August 29, 2017. Clinical data including lactate dehydrogenase (LDH), C-reactive protein (CRP), and treatment outcomes were analyzed and extracted from patient records. Progression-free survival (PFS) was calculated as the time from the start of nivolumab treatment until disease progression determined by imaging and/or clinical observation. Written informed consent was obtained from all the subjects including healthy donors. This study was conducted in accordance with the principles of the Helsinki Declaration and approved by the Institutional Review Board of Kumamoto University (Permit Number: #118 and #103). The detailed characteristics of patients are summarized in Supplementary Tables S1 and S2. Blood samples were obtained from patients with melanoma before and after 6 times administrations. Plasma was collected from blood samples with BD Vacutainer PT tubes (BD Biosciences) according to the manufacturers' instructions, and then cryopreserved until use.

Analysis of tumor-infiltrating cells and isolation of TAMs

Tumor tissues were minced with razors and analyzed for mRNA expression or digested with 2.5 mg/mL collagenase D (Roche) and 0.1 mg/mL DNase I (Sigma) for 30 minutes. Resulting single-cell suspensions were analyzed. For TAM isolation, tumor cells were removed from the above cell suspensions using Lymphoprep (Axis Shield), and then CD11b+Gr-1− macrophages were purified using CD11b microbeads (Miltenyi Biotec) after removing Gr-1+ cells with Gr-1 microbeads (Miltenyi Biotec). TAMs (5 × 105) were stimulated with plate-coated recombinant PD-L1-Fc or control-Fc protein (3.5 μg/mL; R&D Systems) for 18 hours.

Flow cytometric analysis and cytokine measurements

Cells from spleen, lymph nodes, or tumor tissues were stained with the following Abs for flow cytometric analyses: anti–Gr-1, anti–PD-1, anti-CD11c, anti–MHC-II (BD Biosciences), anti-CD45, anti-Foxp3, anti-CXCR3, anti-CD11b, anti-PD-L1 Abs (eBioscience), anti-CD4, anti-CD8, anti-F4/80 Abs (clone; BM8.1, TONBO), anti-CD64, anti-CD206, and anti-MerTK Abs (Miltenyi Biotec). The H-2Kb/SIINFEKL-tetramer-PE was from MBL. For staining of intracellular cytokines in T cells, the cells were stimulated with PMA/ionomycin, and then stained with anti-IL2 or anti-IFNγ Ab (TONBO) as described previously (8). For the assessment of IL6-producing cells in tumor tissues, cell suspension from tumors was cultured in the presence of 2 μg/mL control or anti–PD-L1 Ab and Brefeldin A (Sigma) for 18 hours. After cell surface staining, intracellular IL6 was stained with anti-IL6 Ab (eBioscience) using BD Cytofix/Cytoperm Buffer (BD Biosciences). Immunofluorescent images and the data were analyzed using FACSVerse (BD Biosciences) and FlowJo software (Tree Star), respectively. For ELISPOT assay (BD Biosciences), 1 × 105 draining lymph node cells and 3 × 104 bone marrow–derived dendritic cells (DC) pulsed with I-Ab–binding OVA peptide (ISQAVHAAHAEINEAGR; OVA-IIp) were mixed and incubated for 12 hours. IFNγ spots were visualized with ELISPOT Assay Kit (BD Biosciences) and analyzed as described previously (8). ELISA Kits for detecting human and mouse IL6, soluble IL6 receptor (sIL6R), IL1β, and TN-α were purchased from R&D Systems. The levels of the other cytokines were measured using Bio-Plex suspension array system (Bio-Rad).

Real-time PCR

Total RNA was extracted using TRIzol reagent (Ambion) and RNeasy Plus Mini Kit (QIAGEN), and reverse transcribed with ReverTra Ace (TOYOBO). qPCR was performed on ViiA7 or One-Step Real-Time PCR System with Master Mix reagents (Applied Biosystems) and TaqMan probes (Foxp3; Mm00475162_m1, Il4; Mm00445259_m1, Ifng; Mm01168134_m1 Il10; Mm01288386_m1, Il6; Mm00446190_m1, Il12b; Mm01288989_m1, Tnfa; Mm00443258_m1, Il1b; Mm00434228_m1, Ccl3; Mm00441259_m1, and Gapdh; Mm99999915_g1). The mRNA levels of the other chemokines were determined by qPCR with Power SYBR Green PCR Master Mix (Life Technologies) using the following primers: Ccl4 5′-CCAGGGTTCTCAGCACCA-3′ and 5′-GCTCACTGGGGTTAGCACAGA-3′; Ccl5 5′-CTCACCATATGGCTCGGACA-3′ and 5′-CTTCTCTGGGTTGGCACACA-3′; Cxcl9 5′-TGGAGTTCGAGGAACCCTAGT-3′ and 5′-AGGCAGGTTTGATCTCCGTT-3′; Cxcl10 5′-ACGAACTTAACCACCATCT-3′ and 5′-TAAACTTTAACTACCCATTGATACATA-3′; Cxcl11 5′-AGGAAGGTCACAGCCATAGC-3′ and 5′-CGATCTCTGCCATTTTGACG-3′. Expression of each gene was normalized to Gapdh expression using the comparative 2[−ΔΔCt] method.

In vitro T-cell differentiation

Mouse naïve T cells were isolated from spleen with Pan T Cell Isolation Kit and CD62L microbeads (Miltenyi Biotec). These cells were stimulated with plate-coated anti–CD3/CD28 Abs (both TONBO) in the presence of IL12 (8 ng/mL; Wako) with or without anti-IL6 Ab (1 μg/mL). After culturing for 7 days, IFNγ production or expansion of effector T cells was analyzed.

Statistical analysis

To ascertain a normal distribution of variables, Shapio–Wilk test was performed. Multiple comparisons were performed by one-way ANOVA followed by Tukey–Kramer post hoc tests. A Kruskal–Wallis test was used as a nonparametric alternative to ANOVA. The log-rank test was performed to compare PFS of the two groups in Kaplan–Meier plots. Cox proportional hazards regression was applied to investigate the relationship between IL6 levels and PFS. Data were also analyzed using unpaired Student t test when comparing two experimental groups. Correlations between variables were determined by Spearman correlation coefficient. These analyses were performed using the Prism 4.0 (GraphPad) and R version 3.3.1 (The R Foundation for Statistical Computing). P values less than 0.05 were considered statistically significant.

Results

IL6 blockade augmented Th1 responses and retarded melanoma progression

We previously demonstrated that in tumor-bearing mice immunized with tumor-associated cognate antigenic peptide-loaded DCs, Th1 differentiation of adoptively transferred and in vivo primed tumor-specific CD4+ T cells was attenuated in an IL6-dependent manner (9, 21). This observation have evoked the possibility that development of IFNγ-producing CD4+ Th1 cells from spontaneously primed endogenous tumor-specific CD4+ T cells is masked by IL6 signal, which is augmented in tumor-bearing animals and patients with cancer (19, 20). To test this possibility, we first evaluated the beneficial effect of IL6 blockade on endogenously primed tumor-specific CD4+ T cells in mice bearing MO4 melanoma cells expressing OVA as a surrogate tumor-associated antigen (27). As shown in Fig. 1A, IFNγ-producing OVA peptide–specific CD4+ T cells were significantly increased by IL6 blockade in tumor-draining lymph nodes.

Figure 1.
Figure 1.

IL6 blockade promotes Th1 responses and attenuates melanoma progression. A and B, MO4-bearing mice were treated with anti-IL6 or control Ab three times (indicated by arrows in B). Eight days after the first Ab injection, tumor-draining lymph nodes were analyzed for OVA-IIp/I-Ab–specific IFNγ responses by ELISPOT assay (A), and tumor outgrowth was monitored over time (B). C and D, Frequencies of CXCR3+ cells in CD4+ T cells and SIINFEKL/H-2Kb-tetramer+ cells in CD8+ T cells (C), and the indicated mRNA expression (D) in tumor tissues were analyzed. Anti-CD4 Ab was injected 1 day before tumor inoculation. Representative histograms and dot plots (C, left) and each value of the indicated populations (C, right) are shown. The values represent the mean ± SEM with n = 4–12/group; *, P < 0.05; **, P < 0.01. The data are representative of three or more independent experiments.

Consequently, melanoma growth was significantly retarded by IL6 blockade, but not completely rejected (Fig. 1B). Consistent with the efficient induction of Th1 responses, we found a higher frequency of CD4+ T cells expressing CXCR3, which reflects the Th1 responses in vivo (30, 31), in the tumor tissue of anti-IL6 Ab-treated mice (Fig. 1C). Furthermore, the recruitment of tumor (OVA)-specific CD8+ T cells at the tumor site was promoted by IL6 blockade, which was constrained by the depletion of CD4+ T cells (Fig. 1C), suggesting a negative impact of IL6 on CD4+ T cell–mediated help for cognate CD8 T-cell induction. In contrast to Ifng expression, the mRNA expression of the Th2 cytokine, Il4 was reciprocally downregulated by IL6 blockade (Fig. 1D). Overall, these results confirmed that the immunosuppressive effect of IL6 had a detrimental effect on spontaneous T cell–mediated antitumor responses by modulating the balance between Th1 and Th2 responses (9, 13). The expression of Treg-associated markers, Foxp3 and Il10, was not modulated in the tumor microenvironment after treatment with anti-IL6 Ab (Fig. 1D).

IL6 blockade induced CD4- and IFNγ-dependent PD-L1 expression on melanoma cells

We focused on the characteristics of melanoma cells and investigated their PD-L1 expression in mice treated with anti-IL6 Ab (Fig. 2A). Surprisingly, IL6 blockade significantly upregulated the PD-L1 expression on MO4 cells, which was completely abrogated in tumor-bearing IFNγ-deficient mice. Given that CD4+ T cells were potent IFNγ producers in response to IL6 blockade (Fig. 1), we explored whether CD4+ T cells contributed to this PD-L1 induction. As shown in Fig. 2B, CD4 depletion with anti-CD4 Ab also prevented anti-IL6 Ab-mediated PD-L1 upregulation on tumor cells. Consistent with the in vivo results, in vitro stimulation with IFNγ robustly induced PD-L1 upregulation on several tumor cells, B16-F10, MO4, and CT26, but not on the lymphoma, RMA (Fig. 2C). The expression levels of PD-L1 were not altered by IL6 stimulation, excluding the possibility that IL6 directly affected PD-L1 expression. Collectively, these results suggest that IL6 blockade indirectly augments the PD-L1 induction on melanoma via CD4+ T cell–derived IFNγ.

Figure 2.
Figure 2.

IL6 blockade augments PD-L1 expression on tumor cells through CD4+ T cell–derived IFNγ. A and B, Anti-IL6 Ab was injected twice into MO4-bearing WT, IFNγ-deficient (KO; A), or CD4-depleted mice (B) as in Fig. 1. Seven days after the first Ab injection, PD-L1 expression on CD45− tumor cells was analyzed. Representative histograms (left) and mean fluorescence intensity (MFI) from each mouse are shown. The values represent the mean with n = 3–6/group. C, B16-F10, RMA, CT26, and MO4 were cultured with or without recombinant IL6 (25 ng/mL) or IFNγ (50 ng/mL) for 48 hours. The expression of PD-L1 was analyzed. Representative histograms (top) and MFI (bottom) are shown. n = 3. *, P < 0.05; **, P < 0.01; ***, P < 0.001. NS, not significant. The data are representative of three independent experiments.

Change in the level of IL6 reflected the therapeutic efficacy of anti–PD-1 Ab treatment in patients with melanoma

As observed in other types of cancers, patients with melanoma exhibited a higher level of IL6 in plasma compared with that in healthy donors (Fig. 3A). However, the levels of IL6 were decreased after surgical removal of primary melanoma. In contrast, the level of sIL6R, the other component of IL6 signaling, was not altered. We next validated the plasma levels of IL6 during treatment with anti–PD-1, nivolumab for 12 weeks in patients with melanoma for whom sequential blood samples were available. Interestingly, as shown in Fig. 3B, the patients were divided into two groups. Some patients induced a profound increase in IL6 during nivolumab treatment, whereas IL6 levels were not changed or decreased in other patients.

Figure 3.
Figure 3.

Changes in plasma IL6 level during the treatment are associated with responsiveness to nivolumab in patients with melanoma. A, Levels of IL6 and sIL6R in plasma from patients with melanoma (n = 42–46) or healthy donors (HD) older than 50 years (n = 16) were analyzed (left). IL6 levels were further analyzed before (n = 34) and after (n = 18) surgical resection of tumor mass (right). B, Changes of IL6 level in plasma from the patients before and 12 weeks after initial treatment of nivolumab were analyzed (n = 16). C, Fold changes in IL6 levels (on-/pre-IL6) were analyzed and the patients were divided into two groups according to their median value [less (n = 8) or more (n = 8) than 1.51]. PFS of each group was analyzed over time. D, Patients were divided on the basis of their clinical responses (CR, PR, SD, vs. PD), and the fold changes in IL6 were plotted. E and F, LDH levels were measured before and during nivolumab treatment (E). The correlation between the changes in IL6 and LDH is shown (F). G, Fold changes of the indicated factors were analyzed and the values were divided into two groups based on the clinical responses. *, P < 0.05; **, P < 0.01; ***, P < 0.001. NS, not significant.

To examine whether the elevated IL6 levels were associated with tumor progression in individual patients, PFS was assessed on the basis of stratification by the fold change in IL6 levels during nivolumab treatment (on-/pretreatment; median value, 1.516). As shown in Fig. 3C, the patients with increased IL6 level (on-/pretreatment IL6 ≥ 1.516) exhibited a shorter PFS compared with patients whose IL6 levels were not increased [higher group; median PFS 11 weeks; 95% confidence interval (CI), 6–14 weeks, lower group; median PFS NA; 95% CI, 8–NA weeks]. In contrast, there was no significant difference in the duration of PFS when patients were grouped according to the baseline of IL6 concentration (median value; 1.64 pg/mL, Supplementary Fig. S1A and S1B). Consistent with the result of PFS, poor clinical responses were associated with greater increase in IL6 levels, whereas the change in IL6 level was modest (<1.516) in patients achieving disease control (Fig. 3D). Cox regression analysis indicated that patients with large increases in IL6 were at high risk for poor clinical responses (HR = 13.6; 95% CI, 1.67–110.8), suggesting that an increased IL6 level serves as a predictive factor for poor PFS and clinical response in patients with melanoma treated with nivolumab. On the other hand, the level of LDH, an indicator for the malignancy and rapid progression of melanoma (32), was not altered for 12 weeks after initial nivolumab treatment (Fig. 3E), and changes in the LDH level were not associated with those of IL6 (Fig. 3F), suggesting that the increased IL6 in nonresponders was not simply reflected by the tumor burden. The levels of CRP or IL8, which are both clinical and blood parameters for inflammatory responses, tended to be increased in patients with poor clinical responses, but their changes were not drastic, similarly to IL10 or TNFα (Fig. 3G). Taken together, these results imply that an increase in IL6 during PD-1/PD-L1 blockade is correlated with the therapeutic responsiveness of patients with melanoma.

Blockade of PD-1–PD-L1 interaction led to IL6 production by TAMs

We further investigated the mechanistic action of IL6 upregulation during anti–PD-L1 Ab treatment in melanoma-bearing mice. Although a large increase in IL6 levels in the serum was not detected in control Ab-treated MO4-bearing mice as compared with that in tumor-free mice, anti–PD-L1 Ab treatment prominently augmented the IL6 levels in wild-type (WT) mice (Fig. 4A). This model recapitulated some of the anti–PD-1 Ab-treated patients with melanoma (Fig. 3B). However, such IL6 induction was not observed in IL6-deficient counterparts, suggesting that IL6 was produced by host-derived cells but not by melanoma cells in response to PD-L1 blockade. PD-L1 blockade–induced IL6 upregulation was reproducibly detected in isolated TAMs (Fig. 4B), suggesting that TAMs are one of the possible cellular source of IL6 in response to PD-L1 blockade. Therefore, we next analyzed the PD-1 expression on TAMs localized at the tumor site and found that PD-1 was substantially expressed on Gr-1−F4/80+CD11b+TAMs during melanoma progression, whereas tumor-infiltrated Gr-1+CD11b+MDSCs or splenic Gr-1−F4/80+ macrophages did not express PD-1 (Fig. 4C; Supplementary Fig. S2A). PD-1+TAMs expressed the macrophage markers CD64 and CD206, and the lower levels of MHC-II molecules, but not CD11c or scavenger receptor MerTK (Supplementary Fig. S2A).

Figure 4.
Figure 4.

PD-L1 blockade elicits IL6 production from tumor-associated macrophages. A and B, Tumor-free, MO4-bearing WT, or IL6-deficient (KO) mice were treated with anti–PD-L1 Ab. Two days later, IL6 concentration in serum was measured (A). Expression of the indicated mRNA in isolated TAMs was analyzed (B). C, PD-1 expression on CD11b+F4/80+Gr-1− TAMs or CD11b+Gr-1+ MDSCs from tumor tissues or spleen was assessed 10 days after melanoma inoculation. Representative histograms are shown (top). PD-L1 expression was also analyzed (bottom right). D, Cell suspension from MO4 tumors was cultured in vitro in the presence or absence of anti–PD-L1 Ab for 18 hours. IL6-producing cells were analyzed by flow cytometric analysis. Representative plots (left) and the frequencies of indicated IL6+ population in the culture (top right) and percentage of indicated population in IL6+Gr-1− fraction (bottom right) are shown. E, CD11b+Gr-1− TAMs were isolated from tumor tissues and stimulated with plate-coated control-Fc or PD-L1-Fc in vitro. Expression of the indicated mRNA (top) and cytokines in the supernatants (bottom) was assessed by qPCR and ELISA, respectively. Three independent experiments were performed, and the values represent the mean with n = 5–12 per group. *, P < 0.05; **, P < 0.01; ***, P < 0.001. NS, not significant.

To explore the mechanistic basis of the interconnection between PD-1/PD-L1 and IL6 pathway in TAMs, the level of IL6 was assessed in TAMs when PD-1/PD-L1 interaction was blocked or stimulated in vitro. PD-L1 blockade under in vitro culture of tumor tissues elicited IL6 production in Gr-1− cells, but not in Gr-1+ populations (Fig. 4D). A large part of these IL6-producing cells were F4/80+ cells, which were not detected in tumor-bearing IL6-deficient mice even when stimulated with LPS (Supplementary Fig. S2B). Although a substantial frequency of IL6+ cells was spontaneously detected in PD-1−Gr-1−CD11b+ cells, the augmentation of IL6 production in response to PD-L1 blockade was more pronounced in PD-1+Gr-1−CD11b+TAMs, suggesting this population was the major responder to PD-L1 blockade in the tumor microenvironment. Conversely, as shown in Fig. 4E, stimulation of PD-1 on Gr-1−CD11b+TAMs with recombinant PD-L1 significantly downregulated the expression of IL6, but did not alter the expression of other inflammatory cytokine, TNFα. The PD-1 ligation-mediated suppression of IL6 production was reproducible in TAMs from CT26-bearing mice (Supplementary Fig. S3A). PD-1 stimulation seemed to decrease Il1b mRNA expression in TAMs from MO4, but not significantly reduced its production in TAMs from MO4 or CT26. Furthermore, we examined the functional consequence of PD-1 ligation in TAMs, particularly on CD4+ T-cell responses. When the culture supernatant of PD1-stimulated TAMs was added to the culture of CD4+ T cells stimulated with anti–CD3/CD28 Abs in vitro, the development of IFNγ-producing T cells and IFNγ/IL2-double producers was significantly improved, compared with CD4+ T cells treated with the supernatant from control TAMs (Supplementary Fig. S3B and S3C). This impaired Th1 differentiation was rescued by IL6 blockade in vitro, suggesting that PD-1 ligation modulates TAM-derived IL6 that suppresses the Th1 development.

To more precisely evaluate the in vivo role of TAMs in PD-L1 blockade–induced upregulation of IL6, the IL6 levels were assessed when tumor-infiltrating Gr-1−CD11b+ macrophages including PD-1+TAMs were depleted by anti-F4/80 Ab (Fig. 5A). Depletion of macrophages constrained PD-L1 blockade–induced upregulation of IL6 in the tumor microenvironment (Fig. 5B; Supplementary Fig. S3D), supporting the result that IL6 production from TAMs was suppressed by PD-1 ligation. The expression of Il4 and Il1b but not Tnfa or Il10 induced by anti–PD-L1 therapy was also diminished by macrophage depletion. Focusing on T-cell responses, the number and function of tumor-infiltrating CD8+ T cells enhanced by anti–PD-L1 therapy were not affected when macrophages were depleted in MO4 model (Fig. 5C). On the other hand, in CT26-bearing mice, PD-L1 blockade augmented the function of CD8+ T cells only when macrophage was depleted (Fig. 5D). The difference in the responses of CD8+ T cells between these two tumor models might be reflective of their distinct susceptibilities to the PD-L1 blockade (Supplementary Fig. S4A). Notably, although treatment with anti–PD-L1 Ab alone did not efficiently elicit the IFNγ-producing CD4+ T cells, depletion of macrophages increased IFNγ-producing CD4+ T cells in response to PD-L1 blockade in both models (Fig. 5C–E), which was consistent with Ifng expression in the tumor tissues (Fig. 5B) and in vitro Th1 inhibition mediated by TAM-derived IL6 (Supplementary Fig. S3B and S3C). In such situation, exogenous administration of IL6 largely diminished this Th1 induction, but did not alter the frequency of tumor-infiltrating CD4+ T cells. Furthermore, the responses of CD8+ T cells had a propensity to be decreased by additional IL6 stimulation, which was emphasized in CT26-bearing mice (Fig. 5D). This effect also might be due to, in part, the depletion of immunosuppressive F4/80+ monocytic MDSCs (33), although this possibility was not addressed in these models. Nonetheless, these data suggest that PD-L1 blockade attenuates Th1 response partly through enhancing the production of IL6 from TAMs.

Figure 5.
Figure 5.

PD-L1 blockade-stimulated IL6 induction was mediated through TAMs in melanoma-bearing mice. A, MO4-bearing mice were treated with control or anti-F4/80 Ab. Representative plots (top) and the frequencies of indicated tumor-infiltrating populations in CD45+ cells (bottom) are shown. B, MO4-bearing mice were treated with anti-F4/80 and anti–PD-L1 Abs. Three days after injecting Abs twice a week, expression of the indicated mRNA in tumor tissues was assessed. C–E, Ab injections were performed and MO4 (C and E) or CT26 (D) tumor tissues were analyzed as in B. Recombinant IL6 was injected 1 day before anti–PD-L1 treatment. Frequencies of tumor-infiltrating T cells and their IFNγ production were analyzed (C and D). Representative plots for IFNγ-producing cells in gated CD4+ T cells are shown (E). Two or three independent experiments were performed, and the values represent mean with n = 4–7 per group. *, P < 0.05; **, P < 0.01; ***, P < 0.001. NS, not significant.

Combined blockade of IL6 and PD-L1 signalings exerted synergistic antitumor effects

IL6 blockade might facilitate PD-1/PD-L1–mediated immunosuppression as an adaptive immune-resistant mechanism for tumor cells through contradictorily promoting Th1 responses (Fig. 2). In contrast, PD-L1 blockade reinforced the attenuation of Th1 responses through TAM-derived IL6 (Fig. 5). On the basis of these findings, we hypothesized that anti-IL6 Ab treatment combined with PD-L1 blockade elicited synergistic antitumor effects. Consistent with this hypothesis, the combination of IL6 and PD-L1 blockade achieved a significant reduction in growth of MO4 and CT26 compared with the single treatment (Fig. 6A; Supplementary Fig. S4A). The synergistic effect of IL6/PD-L1 blockades on MO4 progression was abrogated when CD4+ T cells were depleted (Fig. 6B), suggesting a substantive contribution of CD4+ T cells to this synergistic effect. On the other hand, the effect of anti–PD-L1 Ab alone was not abrogated by CD4 depletion. In contrast to the results from MO4 and CT26, RMA- or B16-F10–bearing mice were refractory to these therapies (Supplementary Fig. S4B and S4C), which might be due to the resistance to PD-1/PD-L1 blockade with their less immunogenicity and hypoxic environment (15, 34).

Figure 6.
Figure 6.

Combined blockade of IL6 and PD-L1 signals elicits synergistic antitumor immune responses. A and B, Control (A) or CD4-depleted (B) MO4-bearing mice were treated with anti-IL6 and/or anti–PD-L1 Abs three times (arrows). Tumor progression was monitored over time (left). Tumor sizes at the endpoint are also shown (right). C–F, Seven days after the first Ab injection, frequencies of CD8+ and CD4+ T cells in tumor-infiltrating CD45+ cells (C), their IFNγ-producing cells (D), and the mRNA expression of indicated chemokines in tumors (F) were analyzed. CXCR3 and Foxp3 expression in CD4+ T cells from tumor-draining lymph node cells was also analyzed (E). G, Tumors from CD4-depleted tumor-bearing mice with combined therapy were analyzed for the mRNA expression of indicated chemokines. The values represent the mean with n = 3–9/group. *, P < 0.05; **, P < 0.01; ***, P < 0.001. NS, not significant. The data are representative of two independent experiments. H, Schematic representation of reciprocal interaction between IL6-mediated attenuation of Th1 response and PD-1/PD-L1 ligation on TAMs.

We also explored whether the combination therapy altered the responsiveness of tumor-infiltrating T cells in MO4 (Fig. 6C and D) and CT26 (Supplementary Fig. S4D)-bearing mice. PD-L1 blockade alone promoted infiltration and IFNγ production of CD8+ T cells within the tumor. However, this was not observed for CD4+ T cells, as demonstrated previously (14, 15). The combined therapy did not increase the frequency of infiltrating CD4+ T cells, but elicited the qualitative change into IFNγ-producing Th1 cells (Fig. 6C and D). Efficient induction of CXCR3+CD4+ T cells in tumor-draining lymph nodes was reconciled by the enhanced Th1 response, whereas the frequencies of Foxp3+Tregs were not alerted by the combined therapy (Fig. 6E).

Furthermore, we analyzed the intratumoral expression of T cell–attracting chemokines and found in both MO4 and CT26 models that expression of Ccl3/4/5 and Cxcl9/10 were preferentially enriched in tumors by the treatment with anti-IL6 Ab and anti–PD-L1 Ab, respectively (Fig. 6F; Supplementary Fig. S4E). Of note, the combined therapy induced vigorous increases in all of them. These chemokine expressions were closely correlated with the optimal T-cell recruitment and the synergistic antitumor effects of combined blockade of IL6 and PD-1/PD-L1 signaling. In addition, as shown in Fig. 6G, the combined therapy–induced expression of Ccl4/5 was significantly impaired by CD4 depletion, supporting the importance of Th1 responses in the therapeutic benefits of this combined therapy. Expression of Cxcl10 was conversely upregulated by CD4 depletion, which might be due to the abolishment of Treg-mediated inhibition.

Discussion

Coherent immunologic biomarkers for predicting the efficacy of anti–PD-1/PD-L1 therapy are needed even during the treatment because some cases show delayed responses and pseudo-progression of the tumor mass (29). In this initial study involving a limited number of patients, increased IL6 levels were associated with decreased susceptibility to PD-1 blockade in patients with melanoma. Thus, we proposed the possibility that augmentation of circulating IL6 levels during anti–PD-1 therapy could help estimate whether patients with melanoma are at high risk of disease progression. Similar to this, lower levels of IL6 were associated with longer survival of patients with melanoma treated with anti–CTLA-4 Ab (35). CRP, a signature of inflammation and direct target of IL6 signaling (36), has been reported to be associated with the clinical outcomes in patients with melanoma (37) as well as LDH (32). However, in nivolumab-treated patients, a strict correlation between their clinical responses and the levels of CRP or LDH was not observed. Thus, it is anticipated that the prognostic value of the change in plasma IL6 levels for predicting the susceptibility to PD-1/PD-L1 blockade reflects immunosuppressive status rather than mere inflammatory environment or tumor burden.

Intriguingly, an alteration of IL6 during treatment, rather than its baseline level was correlated with the poor clinical response to PD-1 blockade. It is rather conceivable that, as compared with the quiescent “cold” situation with little spontaneous antitumor immune responses in nontreated tumors, the efficacy of anti–PD-1/PD-L1 therapy more strongly mirrors the immunologic (immunostimulatory vs. immunosuppressive) status at the “hot” circumstance when dramatic immune reactions such as tumor killing through effector CTLs recovered from exhaustion, an increase in tumor antigen–engulfing DCs, and further priming of tumor-specific T cells are elicited (4). Therefore, in such situations, the immunosuppressive effect of IL6 induced by various immune reactions on CD4+ T cells is likely to become underscored. In addition to a requirement of further analysis of the IL6 levels in patients treated with other PD-1/PD-L1 blockade reagents such as atezolizumab, it remains to be investigated the optimal and earliest time point for detecting the upregulation of IL6 levels in patients with cancer after starting treatment and before 12 weeks of anti–PD-1 therapy. An earlier evaluation of treatment efficacy and prompt identification of treatment-sensitive patients can help to avoid unnecessary prolonged treatment, thus limiting the costs and giving the other treatment options.

We demonstrated here that in tumor-bearing hosts, targeting immunosuppressive effects of IL6 potentiated the qualitative but not quantitative changes of CD4+ T cells, particularly in the context of Th1 response–mediated antitumor immunity. Considering the differentiation from naïve into effector T cells, newly generated neoantigen-specific CD4+ T cells against mutated melanoma may be more sensitive to the suppressive effect of IL6 (38). However, IL6 blockade alone did not efficiently control the tumor growth, as observed for DC immunization combined with IL6 blockade (Fig. 1; refs. 8, 21). Consistent with our mouse model, a large randomized clinical trial with single use of anti-IL6 Ab, CNTO328 showed few clinical benefits in patients despite full inhibition of CRP levels (20). One possible mechanism that limited the effectiveness of IL6 blockade was the immunosuppression via upregulation of PD-L1 on tumor cells. Although IFNγ expression is associated with better prognosis (10), IL6 blockade–induced Th1 skewing of tumor-specific CD4+ T cells and their IFNγ production caused a contradicting effect of PD-1/PD-L1–mediated immunosuppression, which is considered to be an adaptive resistant mechanism of tumor cells in response to immune activation including IFNγ production (39). In such a situation without exogenous strong interventions such as active immunization with DCs, IL6 blockade appeared to be insufficient for inducing functional antitumor immunity.

Across multiple cancer types, clinical benefits from PD-1/PD-L1 blockade are frequently observed in patients with high PD-L1 expression during the course of cancer progression (5, 6). PD-L1 induction in tumor cells by IL6 blockade fitted with these observations, because preconditioning of IL6 in tumor-bearing mice boosted the better responsiveness to the PD-1/PD-L1 blockade and facilitated Th1 differentiation, leading to a significant delay in tumor growth. In addition, recent finding that higher MHC-II expression on melanoma cells was correlated with the better effectiveness of anti–PD-1 therapy (40) is reminiscent of an important role of MHC-II–mediated CD4+ T-cell activation in increasing the susceptibility to anti–PD-1/PD-L1 therapy. Furthermore, a reproducible increase in circulating IL6 was associated with the development of pathologic immune-related adverse events (irAE) in anti–PD-1 therapy (24, 25). Thus, this study may pave the way for a promising rational treatment with anti-IL6/R Ab not only to provide better management of anti–PD-1 therapy-associated irAEs, but also to properly recover from immunosuppressive status in patients with anti–PD-1/PD-L1 therapy-resistant cancers.

Monotherapy with anti–PD-1 Ab is not sufficient for enhancing the CD4+ T cell–mediated Th1 response in vivo (14, 15), while PD-1 blockade was reported to promote the Th1 response in vitro (16, 17). On the other hand, a recent study, as well as our results, demonstrated that combination of anti-IL6 Ab treatment along with PD-L1 blockade triggered the synergistic antitumor activity (22, 41, 42). However, the detailed mechanistic actions were not fully elucidated. Here, we proposed that IL6-mediated immunosuppression functioned as a rheostat modulating antitumor Th1 responses in tumor-bearing hosts during anti–PD-1/PD-L1 therapy (Fig. 6H). The limitation of anti–PD-1 therapy in eliciting Th1 response was accounted for by macrophage-derived IL6 production in tumor microenvironment, because the depletion of macrophages allowed the PD-L1 blockade to stimulate local Th1 responses in an IL6-dependent manner. In general, macrophages are exposed to various stimuli from the tumor microenvironment such as tumor-derived ligands for Toll-like receptors (43, 44) or other inflammatory cytokines, IL1β and IL17 (45), which can render TAMs to produce inflammatory mediators including IL6. However, our data suggested the possibility that an ectopic expression of PD-1 on TAMs and its ligation with PD-L1 directly suppressed their IL6 production in tumor microenvironment. In addition to the direct effect, PD-1/PD-L1 blockade might indirectly dampen the IL6 upregulation through modification of the property to produce IL6 not only in PD-1+TAMs but also in PD-1−TAMs with unknown mechanism(s), because the total frequency of IL6-producing PD-1−TAMs was also increased upon PD-L1 blockade (Supplementary Fig. S3D). Thus, the depletion of both PD-1+ and PD-1−TAMs could contribute to the amelioration in T-cell function in tumor microenvironment. These ideas propose a novel function of PD-1/PD-L1 signal in TAMs and provide a possible explanation for the mechanistic action of PD-L1 blockade to mobilize macrophages for immunosuppression. Although this possible mechanism was supported by the escalation of IL6 levels during nivolumab treatment, it should be assessed whether IL6 production in human PD-1+TAMs is liberated from the suppression via PD-1–PD-L1 interaction in cancer specimens in further investigation. It is interesting to note that PD-1+TAMs expressed M2 macrophage marker CD206 (Supplementary Fig. S2A; ref. 18). Therefore, a detailed characterization of IL6-producing human TAMs may help to explain the poor prognostic role of M2-like macrophages in patients with melanoma (46).

An increase in IL6 is often observed at baseline in patients with cancer and tumor-bearing mice (9, 20, 21). As demonstrated in Fig. 4D, PD-1−TAMs also appeared to contribute to spontaneous production of IL6 in tumor tissues. This idea was supported by the observation that depletion of macrophages reduced the baseline level of IL6. Hence, it is reasonable to assume that in contrast to the therapy-induced inflammation, other types of tumor-associated cells, such as MDSCs (21), cancer-associated fibroblasts (42), and pericytes (47), are responsible for the steady-state measurable level of IL6. Therefore, these cells are likely candidates for preconditioning of the tumor microenvironment through amelioration of baseline immunosuppression before therapeutic approaches including immune checkpoint blockade (48).

Although Th1 response mediated the interplay between tumor cells and TAMs, the fundamental mechanism(s) underlying how Th1 cells can contribute to antitumor responses during anti–PD-1/PD-L1 therapy is worth considering. Although anti–PD-1 therapy alone seemed to be sufficient to potentiate the recruitment of CD8+ T cells in early phase of the therapy in MO4 but not in CT26 model, the restoration of defective Th1 development via additional IL6 blockade or macrophage depletion led to a synergistic enhancement of CD8+ T-cell response to a greater or lesser extent in both models. Thus, it was likely possible that the combined blockade of IL6 and PD-1/PD-L1 signals provided the synergistic effects not only on CD4+ Th1 response but also on the recruitment and function of CD8+ T cells in the tumor microenvironment. This idea was also supported by IL6 blockade–mediated and CD4-dependent upregulation of Ccl3/4/5 expression in the combined therapy, and the previous report demonstrating that CD4+ T-cell/DC interaction–induced CCL3/4 promoted the recruitment and priming of cognate CD8+ T cells (49). CD4+ Th1 cell–mediated enhancement of memory CD8+ T-cell formation and their durable response (10, 49) or counteracting the IL4 (Th2)-skewed immunosuppressive environment (9, 50) are the other possible targets of Th1 cells in the synergistic antitumor effects.

In conclusion, PD-1/PD-L1 blockade fostered vigorous IFNγ-producing T-cell responses when IL6 blockade was given, and ameliorated the immunosuppressive environment governed by tumor cells and TAMs, providing an optimal immunologic window for the treatment. These findings shed light on the complexity of the modes of action of anti–PD-1/PD-L1 therapy and suggest a promising and feasible combined therapeutic approach targeting the mutually immunosuppressive cross-talk between PD-1/PD-L1 and IL6 signals.

Disclosure of Potential Conflicts of Interest

No potential conflicts of interest were disclosed.

Authors' Contributions

Conception and design: H. Tsukamoto, K. Fujieda

Development of methodology: H. Tsukamoto, K. Fujieda, S. Fukushima, S. Senju

Acquisition of data (provided animals, acquired and managed patients, provided facilities, etc.): H. Tsukamoto, K. Fujieda, A. Miyashita, S. Fukushima, T. Ikeda, Y. Kubo, S. Senju, H. Ihn

Analysis and interpretation of data (e.g., statistical analysis, biostatistics, computational analysis): H. Tsukamoto, K. Fujieda, S. Fukushima, T. Ikeda, H. Oshiumi

Writing, review, and/or revision of the manuscript: H. Tsukamoto, K. Fujieda, S. Fukushima, T. Ikeda, S. Senju, H. Ihn, Y. Nishimura, H. Oshiumi

Administrative, technical, or material support (i.e., reporting or organizing data, constructing databases): H. Tsukamoto

Study supervision: H. Tsukamoto, H. Oshiumi

Acknowledgments

We thank Dr. Youichiro Iwakura for the generous supply of IFNγ-deficient embryos and Li Cailing (Shandong University, China) for generous assistance and helpful discussion. This work was supported by JSPS KAKENHI no. 18K07325 to H. Tsukamoto, and the Project for Cancer Research and Therapeutic Evolution (P-CREATE) from the Japan Agency for Medical Research and Development, AMED to Y. Nishimura and H. Tsukamoto. H. Tsukamoto was also supported by The Shin-Nihon Foundation of Advanced Medical Research and The Princess Takamatsu Cancer Research Fund.

The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked advertisement in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.

Footnotes

  • Note: Supplementary data for this article are available at Cancer Research Online (http://cancerres.aacrjournals.org/).

  • Received January 12, 2018.
  • Revision received April 24, 2018.
  • Accepted June 27, 2018.
  • Published first July 2, 2018.

References

  1. 1.↵
    1. Dickson PV,
    2. Gershenwald JE
    . Staging and prognosis of cutaneous melanoma. Surg Oncol Clin N Am 2011;20:1–17.
    OpenUrlCrossRefPubMed
  2. 2.↵
    1. Al-Batran SE,
    2. Rafiyan MR,
    3. Atmaca A,
    4. Neumann A,
    5. Karbach J,
    6. Bender A,
    7. et al.
    Intratumoral T-cell infiltrates and MHC class I expression in patients with stage IV melanoma. Cancer Res 2005;65:3937–41.
    OpenUrlAbstract/FREE Full Text
  3. 3.↵
    1. Coffelt SB,
    2. de Visser KE
    . Immune-mediated mechanisms influencing the efficacy of anticancer therapies. Trends Immunol 2015;36:198–216.
    OpenUrlCrossRefPubMed
  4. 4.↵
    1. Bardhan K,
    2. Anagnostou T,
    3. Boussiotis VA
    . The PD1:PD-L1/2 pathway from discovery to clinical implementation. Front Immunol 2016;7:550.
    OpenUrl
  5. 5.↵
    1. Topalian SL,
    2. Hodi FS,
    3. Brahmer JR,
    4. Gettinger SN,
    5. Smith DC,
    6. McDermott DF,
    7. et al.
    Safety, activity, and immune correlates of anti-PD-1 antibody in cancer. N Engl J Med 2012;366:2443–54.
    OpenUrlCrossRefPubMed
  6. 6.↵
    1. Herbst RS,
    2. Soria JC,
    3. Kowanetz M,
    4. Fine GD,
    5. Hamid O,
    6. Gordon MS,
    7. et al.
    Predictive correlates of response to the anti-PD-L1 antibody MPDL3280A in cancer patients. Nature 2014;515:563–7.
    OpenUrlCrossRefPubMed
  7. 7.↵
    1. Spitzer MH,
    2. Carmi Y,
    3. Reticker-Flynn NE,
    4. Kwek SS,
    5. Madhireddy D,
    6. Martins MM,
    7. et al.
    Systemic immunity is required for effective cancer immunotherapy. Cell 2017;168:487–502.
    OpenUrl
  8. 8.↵
    1. Tsukamoto H,
    2. Senju S,
    3. Matsumura K,
    4. Swain SL,
    5. Nishimura Y
    . IL-6-mediated environmental conditioning of defective Th1 differentiation dampens antitumour immune responses in old age. Nat Commun 2015;6:6702.
    OpenUrlCrossRefPubMed
  9. 9.↵
    1. Tsukamoto H,
    2. Fujieda K,
    3. Hirayama M,
    4. Ikeda T,
    5. Yuno A,
    6. Matsumura K,
    7. et al.
    Soluble IL6R expressed by myeloid cells reduces tumor-specific Th1 differentiation and drives tumor progression. Cancer Res 2017;77:2279–91.
    OpenUrlAbstract/FREE Full Text
  10. 10.↵
    1. Melssen M,
    2. Slingluff CL Jr.
    . Vaccines targeting helper T cells for cancer immunotherapy. Curr Opin Immunol 2017;47:85–92.
    OpenUrl
  11. 11.↵
    1. Carstens JL,
    2. Correa de Sampaio P,
    3. Yang D,
    4. Barua S,
    5. Wang H,
    6. Rao A,
    7. et al.
    Spatial computation of intratumoral T cells correlates with survival of patients with pancreatic cancer. Nat Commun 2017;8:15095.
    OpenUrlCrossRef
  12. 12.↵
    1. Zelba H,
    2. Weide B,
    3. Martens A,
    4. Derhovanessian E,
    5. Bailur JK,
    6. Kyzirakos C,
    7. et al.
    Circulating CD4+ T cells that produce IL4 or IL17 when stimulated by melan-A but not by NY-ESO-1 have negative impacts on survival of patients with stage IV melanoma. Clin Cancer Res 2014;20:4390–9.
    OpenUrlAbstract/FREE Full Text
  13. 13.↵
    1. Tatsumi T,
    2. Kierstead LS,
    3. Ranieri E,
    4. Gesualdo L,
    5. Schena FP,
    6. Finke JH,
    7. et al.
    Disease-associated bias in T helper type 1 (Th1)/Th2 CD4(+) T cell responses against MAGE-6 in HLA-DRB10401(+) patients with renal cell carcinoma or melanoma. J Exp Med 2002;196:619–28.
    OpenUrlAbstract/FREE Full Text
  14. 14.↵
    1. Wei SC,
    2. Levine JH,
    3. Cogdill AP,
    4. Zhao Y,
    5. Anang NAS,
    6. Andrews MC,
    7. et al.
    Distinct cellular mechanisms underlie anti-CTLA-4 and anti-PD-1 checkpoint blockade. Cell 2017;170:1120–33.
    OpenUrlCrossRefPubMed
  15. 15.↵
    1. Li Y,
    2. Fang M,
    3. Zhang J,
    4. Wang J,
    5. Song Y,
    6. Shi J,
    7. et al.
    Hydrogel dual delivered celecoxib and anti-PD-1 synergistically improve antitumor immunity. Oncoimmunology 2016;5:e1074374.
    OpenUrl
  16. 16.↵
    1. Li J,
    2. Jie HB,
    3. Lei Y,
    4. Gildener-Leapman N,
    5. Trivedi S,
    6. Green T,
    7. et al.
    PD-1/SHP-2 inhibits Tc1/Th1 phenotypic responses and the activation of T cells in the tumor microenvironment. Cancer Res 2015;75:508–18.
    OpenUrlAbstract/FREE Full Text
  17. 17.↵
    1. McAlees JW,
    2. Lajoie S,
    3. Dienger K,
    4. Sproles AA,
    5. Richgels PK,
    6. Yang Y,
    7. et al.
    Differential control of CD4(+) T-cell subsets by the PD-1/PD-L1 axis in a mouse model of allergic asthma. Eur J Immunol 2015;45:1019–29.
    OpenUrlCrossRef
  18. 18.↵
    1. Gordon SR,
    2. Maute RL,
    3. Dulken BW,
    4. Hutter G,
    5. George BM,
    6. McCracken MN,
    7. et al.
    PD-1 expression by tumour-associated macrophages inhibits phagocytosis and tumour immunity. Nature 2017;545:495–9.
    OpenUrl
  19. 19.↵
    1. Hoejberg L,
    2. Bastholt L,
    3. Schmidt H
    . Interleukin-6 and melanoma. Melanoma Res 2012;22:327–33.
    OpenUrlCrossRefPubMed
  20. 20.↵
    1. Rossi JF,
    2. Lu ZY,
    3. Jourdan M,
    4. Klein B
    . Interleukin-6 as a therapeutic target. Clin Cancer Res 2015;21:1248–57.
    OpenUrlAbstract/FREE Full Text
  21. 21.↵
    1. Tsukamoto H,
    2. Nishikata R,
    3. Senju S,
    4. Nishimura Y
    . Myeloid-derived suppressor cells attenuate TH1 development through IL-6 production to promote tumor progression. Cancer Immunol Res 2013;1:64–76.
    OpenUrlAbstract/FREE Full Text
  22. 22.↵
    1. Ohno Y,
    2. Toyoshima Y,
    3. Yurino H,
    4. Monma N,
    5. Xiang H,
    6. Sumida K,
    7. et al.
    Lack of interleukin-6 in the tumor microenvironment augments type-1 immunity and increases the efficacy of cancer immunotherapy. Cancer Sci 2017;108:1959–66.
    OpenUrl
  23. 23.↵
    1. Grupp SA,
    2. Kalos M,
    3. Barrett D,
    4. Aplenc R,
    5. Porter DL,
    6. Rheingold SR,
    7. et al.
    Chimeric antigen receptor-modified T cells for acute lymphoid leukemia. N Engl J Med 2013;368:1509–18.
    OpenUrlCrossRefPubMed
  24. 24.↵
    1. Rotz SJ,
    2. Leino D,
    3. Szabo S,
    4. Mangino JL,
    5. Turpin BK,
    6. Pressey JG
    . Severe cytokine release syndrome in a patient receiving PD-1-directed therapy. Pediatr Blood Cancer 2017;64:e26642.
    OpenUrl
  25. 25.↵
    1. Tanaka R,
    2. Okiyama N,
    3. Okune M,
    4. Ishitsuka Y,
    5. Watanabe R,
    6. Furuta J,
    7. et al.
    Serum level of interleukin-6 is increased in nivolumab-associated psoriasiform dermatitis and tumor necrosis factor-alpha is a biomarker of nivolumab recativity. J Dermatol Sci 2017;86:71–3.
    OpenUrl
  26. 26.↵
    1. Tagawa Y,
    2. Sekikawa K,
    3. Iwakura Y
    . Suppression of concanavalin A-induced hepatitis in IFN-gamma(−/−) mice, but not in TNF-alpha(−/−) mice: role for IFN-gamma in activating apoptosis of hepatocytes. J Immunol 1997;159:1418–28.
    OpenUrlAbstract
  27. 27.↵
    1. Falo LD Jr.,
    2. Kovacsovics-Bankowski M,
    3. Thompson K,
    4. Rock KL
    . Targeting antigen into the phagocytic pathway in vivo induces protective tumour immunity. Nat Med 1995;1:649–53.
    OpenUrlCrossRefPubMed
  28. 28.↵
    1. Ossendorp F,
    2. Mengede E,
    3. Camps M,
    4. Filius R,
    5. Melief CJ
    . Specific T helper cell requirement for optimal induction of cytotoxic T lymphocytes against major histocompatibility complex class II negative tumors. J Exp Med 1998;187:693–702.
    OpenUrlAbstract/FREE Full Text
  29. 29.↵
    1. Wolchok JD,
    2. Hoos A,
    3. O'Day S,
    4. Weber JS,
    5. Hamid O,
    6. Lebbe C,
    7. et al.
    Guidelines for the evaluation of immune therapy activity in solid tumors: immune-related response criteria. Clin Cancer Res 2009;15:7412–20.
    OpenUrlAbstract/FREE Full Text
  30. 30.↵
    1. Nakajima C,
    2. Mukai T,
    3. Yamaguchi N,
    4. Morimoto Y,
    5. Park WR,
    6. Iwasaki M,
    7. et al.
    Induction of the chemokine receptor CXCR3 on TCR-stimulated T cells: dependence on the release from persistent TCR-triggering and requirement for IFN-gamma stimulation. Eur J Immunol 2002;32:1792–801.
    OpenUrlCrossRefPubMed
  31. 31.↵
    1. Groom JR,
    2. Richmond J,
    3. Murooka TT,
    4. Sorensen EW,
    5. Sung JH,
    6. Bankert K,
    7. et al.
    CXCR3 chemokine receptor-ligand interactions in the lymph node optimize CD4+ T helper 1 cell differentiation. Immunity 2012;37:1091–103.
    OpenUrlCrossRefPubMed
  32. 32.↵
    1. Deichmann M,
    2. Benner A,
    3. Bock M,
    4. Jackel A,
    5. Uhl K,
    6. Waldmann V,
    7. et al.
    S100-Beta, melanoma-inhibiting activity, and lactate dehydrogenase discriminate progressive from nonprogressive American Joint Committee on Cancer stage IV melanoma. J Clin Oncol 1999;17:1891–6.
    OpenUrlAbstract/FREE Full Text
  33. 33.↵
    1. Ugel S,
    2. De Sanctis F,
    3. Mandruzzato S,
    4. Bronte V
    . Tumor-induced myeloid deviation: when myeloid-derived suppressor cells meet tumor-associated macrophages. J Clin Invest 2015;125:3365–76.
    OpenUrlCrossRefPubMed
  34. 34.↵
    1. Scharping NE,
    2. Menk AV,
    3. Whetstone RD,
    4. Zeng X,
    5. Delgoffe GM
    . Efficacy of PD-1 blockade is potentiated by metformin-induced reduction of tumor hypoxia. Cancer Immunol Res 2017;5:9–16.
    OpenUrlAbstract/FREE Full Text
  35. 35.↵
    1. Damuzzo V,
    2. Solito S,
    3. Pinton L,
    4. Carrozzo E,
    5. Valpione S,
    6. Pigozzo J,
    7. et al.
    Clinical implication of tumor-associated and immunological parameters in melanoma patients treated with ipilimumab. Oncoimmunology 2016;5:e1249559.
    OpenUrl
  36. 36.↵
    1. Nishikawa T,
    2. Hagihara K,
    3. Serada S,
    4. Isobe T,
    5. Matsumura A,
    6. Song J,
    7. et al.
    Transcriptional complex formation of c-Fos, STAT3, and hepatocyte NF-1 alpha is essential for cytokine-driven C-reactive protein gene expression. J Immunol 2008;180:3492–501.
    OpenUrlAbstract/FREE Full Text
  37. 37.↵
    1. Fang S,
    2. Wang Y,
    3. Sui D,
    4. Liu H,
    5. Ross MI,
    6. Gershenwald JE,
    7. et al.
    C-reactive protein as a marker of melanoma progression. J Clin Oncol 2015;33:1389–96.
    OpenUrlAbstract/FREE Full Text
  38. 38.↵
    1. Linnemann C,
    2. van Buuren MM,
    3. Bies L,
    4. Verdegaal EM,
    5. Schotte R,
    6. Calis JJ,
    7. et al.
    High-throughput epitope discovery reveals frequent recognition of neo-antigens by CD4+ T cells in human melanoma. Nat Med 2015;21:81–5.
    OpenUrlCrossRefPubMed
  39. 39.↵
    1. Taube JM,
    2. Anders RA,
    3. Young GD,
    4. Xu H,
    5. Sharma R,
    6. McMiller TL,
    7. et al.
    Colocalization of inflammatory response with B7-h1 expression in human melanocytic lesions supports an adaptive resistance mechanism of immune escape. Sci Transl Med 2012;4:127ra37.
    OpenUrlAbstract/FREE Full Text
  40. 40.↵
    1. Johnson DB,
    2. Estrada MV,
    3. Salgado R,
    4. Sanchez V,
    5. Doxie DB,
    6. Opalenik SR,
    7. et al.
    Melanoma-specific MHC-II expression represents a tumour-autonomous phenotype and predicts response to anti-PD-1/PD-L1 therapy. Nat Commun 2016;7:10582.
    OpenUrlCrossRefPubMed
  41. 41.↵
    1. Mace TA,
    2. Shakya R,
    3. Pitarresi JR,
    4. Swanson B,
    5. McQuinn CW,
    6. Loftus S,
    7. et al.
    IL-6 and PD-L1 antibody blockade combination therapy reduces tumour progression in murine models of pancreatic cancer. Gut 2018;67:320–32.
    OpenUrlAbstract/FREE Full Text
  42. 42.↵
    1. Liu H,
    2. Shen J,
    3. Lu K
    . IL-6 and PD-L1 blockade combination inhibits hepatocellular carcinoma cancer development in mouse model. Biochem Biophys Res Commun 2017;486:239–44.
    OpenUrl
  43. 43.↵
    1. Mahadevan NR,
    2. Rodvold J,
    3. Sepulveda H,
    4. Rossi S,
    5. Drew AF,
    6. Zanetti M
    . Transmission of endoplasmic reticulum stress and pro-inflammation from tumor cells to myeloid cells. Proc Natl Acad Sci U S A 2011;108:6561–6.
    OpenUrlAbstract/FREE Full Text
  44. 44.↵
    1. Tang M,
    2. Diao J,
    3. Gu H,
    4. Khatri I,
    5. Zhao J,
    6. Cattral MS
    . Toll-like receptor 2 activation promotes tumor dendritic cell dysfunction by regulating IL-6 and IL-10 receptor signaling. Cell Rep 2015;13:2851–64.
    OpenUrl
  45. 45.↵
    1. Garg AV,
    2. Amatya N,
    3. Chen K,
    4. Cruz JA,
    5. Grover P,
    6. Whibley N,
    7. et al.
    MCPIP1 endoribonuclease activity negatively regulates interleukin-17-mediated signaling and inflammation. Immunity 2015;43:475–87.
    OpenUrl
  46. 46.↵
    1. Melief SM,
    2. Visconti VV,
    3. Visser M,
    4. van Diepen M,
    5. Kapiteijn EH,
    6. van den Berg JH,
    7. et al.
    Long-term survival and clinical benefit from adoptive T-cell transfer in stage IV melanoma patients is determined by a four-parameter tumor immune signature. Cancer Immunol Res 2017;5:170–9.
    OpenUrlAbstract/FREE Full Text
  47. 47.↵
    1. Bichsel CA,
    2. Wang L,
    3. Froment L,
    4. Berezowska S,
    5. Muller S,
    6. Dorn P,
    7. et al.
    Increased PD-L1 expression and IL-6 secretion characterize human lung tumor-derived perivascular-like cells that promote vascular leakage in a perfusable microvasculature model. Sci Rep 2017;7:10636.
    OpenUrl
  48. 48.↵
    1. Lu X,
    2. Horner JW,
    3. Paul E,
    4. Shang X,
    5. Troncoso P,
    6. Deng P,
    7. et al.
    Effective combinatorial immunotherapy for castration-resistant prostate cancer. Nature 2017;543:728–32.
    OpenUrl
  49. 49.↵
    1. Castellino F,
    2. Huang AY,
    3. Altan-Bonnet G,
    4. Stoll S,
    5. Scheinecker C,
    6. Germain RN
    . Chemokines enhance immunity by guiding naive CD8+ T cells to sites of CD4+ T cell-dendritic cell interaction. Nature 2006;440:890–5.
    OpenUrlCrossRefPubMed
  50. 50.↵
    1. DeNardo DG,
    2. Barreto JB,
    3. Andreu P,
    4. Vasquez L,
    5. Tawfik D,
    6. Kolhatkar N,
    7. et al.
    CD4(+) T cells regulate pulmonary metastasis of mammary carcinomas by enhancing protumor properties of macrophages. Cancer Cell 2009;16:91–102.
    OpenUrlCrossRefPubMed
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Combined Blockade of IL6 and PD-1/PD-L1 Signaling Abrogates Mutual Regulation of Their Immunosuppressive Effects in the Tumor Microenvironment
Hirotake Tsukamoto, Koji Fujieda, Azusa Miyashita, Satoshi Fukushima, Tokunori Ikeda, Yosuke Kubo, Satoru Senju, Hironobu Ihn, Yasuharu Nishimura and Hiroyuki Oshiumi
Cancer Res September 1 2018 (78) (17) 5011-5022; DOI: 10.1158/0008-5472.CAN-18-0118
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