| Literature DB >> 35665759 |
Naoya Maekawa1, Satoru Konnai2,3, Yumie Asano4, Yamato Sajiki4, Tatsuya Deguchi5, Tomohiro Okagawa1, Kei Watari4, Hiroto Takeuchi4, Satoshi Takagi5,6, Kenji Hosoya5, Sangho Kim5, Hiroshi Ohta5, Yukinari Kato7,8, Yasuhiko Suzuki1,9,10, Shiro Murata1,4, Kazuhiko Ohashi1,4.
Abstract
Immune checkpoint inhibitors (ICIs) such as anti-PD-L1 antibodies are widely used to treat human cancers, and growing evidence suggests that ICIs are promising treatments for canine malignancies. However, only some canine oral malignant melanoma (OMM) cases respond to ICIs. To explore biomarkers predictive of survival in dogs with pulmonary metastatic OMM receiving the anti-PD-L1 antibody c4G12 (n = 27), serum concentrations of prostaglandin E2 (PGE2), cytokines, chemokines, and growth factors were measured prior to treatment initiation. Among 12 factors tested, PGE2, interleukin (IL)-12p40, IL-8, monocyte chemotactic protein-1 (MCP-1), and stem cell factor (SCF) were higher in OMM dogs compared to healthy dogs (n = 8). Further, lower baseline serum PGE2, MCP-1, and vascular endothelial growth factor (VEGF)-A concentrations as well as higher IL-2, IL-12, and SCF concentrations predicted prolonged overall survival. These observations suggest that PGE2 confers resistance against anti-PD-L1 therapy through immunosuppression and thus is a candidate target for combination therapy. Indeed, PGE2 suppressed IL-2 and interferon (IFN)-γ production by stimulated canine peripheral blood mononuclear cells (PBMCs), while inhibition of PGE2 biosynthesis using the COX-2 inhibitor meloxicam in combination with c4G12 enhanced Th1 cytokine production by PBMCs. Thus, serum PGE2 may be predictive of c4G12 treatment response, and concomitant use of COX-2 inhibitors may enhance ICI antitumor efficacy.Entities:
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Year: 2022 PMID: 35665759 PMCID: PMC9166720 DOI: 10.1038/s41598-022-13484-8
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.996
Figure 1Serum concentrations of several immune modulators are elevated in dogs with pulmonary metastatic oral malignant melanoma (OMM). (a) Heat map depicting the serum concentrations of each measured factor (as Z-Scores) in dogs with OMM prior to treatment (n = 27) and in healthy dogs (n = 8). Missing values (below the lower limit of quantitation [LLOQ]) are shown in dark green. (b) Comparison of serum concentration between OMM and healthy dogs. Red bars indicate the median values. Values below LLOQ are shown as open circles. Statistical analysis was performed using Mann–Whitney U test.
Figure 2Baseline serum concentrations of several immune modulators are associated with overall survival (OS) in dogs with pulmonary metastatic OMM receiving c4G12 therapy. Dogs were dichotomized into subgroups based on the indicated cutoff value for (a) Prostaglandin E2 (PGE2), (b) interferon-γ (IFN-γ), (c) interleukin (IL)-2, (d) IL-6, (e) IL-10, (f) IL-12p40, (g) tumor necrosis factor-α (TNF-α), (h) IL-8, (i) monocyte chemotactic protein 1 (MCP-1), (j) nerve growth factor-β (NGF-β), (k) stem cell factor (SCF), and (l) vascular endothelial growth factor-A (VEGF-A), and Kaplan–Meier curves were constructed comparing each corresponding subgroup (high group > cutoff vs. low group ≤ cutoff). Statistical analysis was performed using log-rank test.
ROC analysis of each serum factor in relation to longer survival.
| AUC (95% CI) | Cutoff* | Sensitivity | Specificity | ||
|---|---|---|---|---|---|
| PGE2 | 0.727 (0.501–0.954) | 6.5 | 0.636 | 0.846 | 0.033 |
| IFN-γ | 0.566 (0.416–0.717) | < LLOQ | 0.231 | 0.909 | 0.596 |
| IL-2 | 0.626 (0.398–0.854) | 17.7 | 0.545 | 0.769 | 0.206 |
| IL-6 | 0.535 (0.299–0.771) | 142.4 | 0.364 | 1.000 | 0.031 |
| IL-10 | 0.622 (0.412–0.833) | 18.4 | 0.455 | 0.846 | 0.182 |
| IL-12p40 | 0.587 (0.341–0.834) | 388.5 | 1.000 | 0.308 | 0.098 |
| TNF-α | 0.521 (0.362–0.680) | 4.7 | 0.182 | 0.923 | 0.576 |
| IL-8 | 0.573 (0.329–0.818) | 1980.8 | 0.727 | 0.538 | 0.240 |
| MCP-1 | 0.664 (0.440–0.889) | 48.7 | 0.273 | 1.000 | 0.082 |
| NGF-β | 0.521 (0.362–0.680) | 28.0 | 0.182 | 0.923 | 0.576 |
| SCF | 0.741 (0.531–0.951) | 87.7 | 0.727 | 0.692 | 0.100 |
| VEGF-A | 0.594 (0.353–0.835) | 22.1 | 0.909 | 0.462 | 0.211 |
The sensitivity and specificity of each factor to predict longer survival (OS > median) are shown.
AUC, area under the curve; CI, confidence interval; LLOQ, lower limit of quantification.
*Cutoffs were determined by calculating the Youden's index.
**Fisher's exact test.
ROC analysis of each serum factor in relation to tumor response.
| AUC (95% CI) | Cutoff* | Sensitivity | Specificity | ||
|---|---|---|---|---|---|
| PGE2 | 0.618 (0.285–0.951) | 3.1 | 0.400 | 0.955 | 0.628 |
| IFN-γ | 0.614 (0.524–0.703) | < LLOQ | 1.000 | 0.227 | 0.547 |
| IL-2 | 0.818 (0.560–1.000) | 33.0 | 0.800 | 0.864 | 0.030 |
| IL-6 | 0.727 (0.414–1.000) | 142.4 | 0.600 | 0.955 | 0.013 |
| IL-10 | 0.691 (0.391–0.991) | 84.6 | 0.400 | 1.000 | 0.136 |
| IL-12p40 | 0.727 (0.470–0.985) | 651.9 | 1.000 | 0.455 | 0.561 |
| TNF-α | 0.664 (0.407–0.920) | 4.7 | 0.400 | 0.955 | 0.079 |
| IL-8 | 0.618 (0.317–0.920) | 2007.0 | 0.800 | 0.591 | 0.326 |
| MCP-1 | 0.718 (0.524–0.913) | 115.2 | 1.000 | 0.591 | 0.474 |
| NGF-β | 0.641 (0.380–0.902) | 28.0 | 0.400 | 0.909 | 0.144 |
| SCF | 0.773 (0.520–1.000) | 125.0 | 0.800 | 0.818 | 0.165 |
| VEGF-A | 0.500 (0.228–0.772) | 17.9 | 0.600 | 0.636 | 1.000 |
The sensitivity and specificity of each factor to predict tumor response are shown.
AUC, area under the curve; CI, confidence interval; LLOQ, lower limit of quantification.
*Cutoffs were determined by calculating the Youden's index.
**Fisher's exact test.
Figure 3PGE2 is a potential immunosuppressive factor in canine cancer. (a) COX2 mRNA expression in canine cancer cell lines. Total RNA was extracted from each cancer cell line and COX2 mRNA expression was measured by RT-qPCR. HPRT1 expression was used as an internal control. The mean values of triplicate measurement are shown. Error bars indicate the standard deviation (SD). (b) Plasma PGE2 concentration in dogs with tumors. Plasma samples were collected from healthy (n = 8) and tumor-bearing dogs (n = 21). Red bars indicate the median values. Statistical analysis was performed using Mann–Whitney U test. (c,d) Suppression of cytokine production from canine peripheral blood mononuclear cells (PMBCs) by PGE2. Canine PBMCs were cultured for 3 d with or without 2.5 μM PGE2, and concentrations of (c) IL-2 (n = 7) and (d) IFN-γ (n = 15) in the supernatant were measured by ELISA. Red bars indicate the median values. Statistical analysis was performed using Wilcoxon signed rank test.
Figure 4The cyclooxygenase-2 (COX-2) inhibitor meloxicam reduces PGE2 production and enhances cytokine production by canine PBMCs with or without anti-programmed death ligand 1 (PD-L1) antibody treatment. (a,b) Suppression of PGE2 production by the COX-2 inhibitor meloxicam. Cells were cultured for 3 d with 5 μM meloxicam, and PGE2 concentration in the supernatant was measured by ELISA. (a) PGE2 production from canine cancer cell lines CMM-1 and HMPOS. Mean values of triplicate measurement are shown. Error bars indicate the SD. Statistical analysis was performed using Mann–Whitney U test. (b) PGE2 production from canine PBMCs (n = 7). Red bars indicate the median values. Statistical analysis was performed using Wilcoxon signed rank test. (c,d) Enhancement of cytokine production from canine PBMCs by meloxicam treatment. Canine PBMCs were cultured for 3 d with 5 μM meloxicam and/or 20 μg/mL anti-PD-L1 antibody c4G12, and (c) IL-2 (n = 11) and (d) IFN-γ (n = 15) concentrations in the supernatant were measured by ELISA. Each point represents the relative cytokine concentration compared to no treatment control prepared from the same individual. Red bars indicate the median values. Statistical analysis was performed using Steel–Dwass test (*P < 0.05).