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Research Articles

Robust Antitumor Responses Result from Local Chemotherapy and CTLA-4 Blockade

Charlotte E. Ariyan, Mary Sue Brady, Robert H. Siegelbaum, Jian Hu, Danielle M. Bello, Jamie Rand, Charles Fisher, Robert A. Lefkowitz, Kathleen S. Panageas, Melissa Pulitzer, Marissa Vignali, Ryan Emerson, Christopher Tipton, Harlan Robins, Taha Merghoub, Jianda Yuan, Achim Jungbluth, Jorge Blando, Padmanee Sharma, Alexander Y. Rudensky, Jedd D. Wolchok and James P. Allison
Charlotte E. Ariyan
1Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York.
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  • For correspondence: ariyanc@mskcc.org
Mary Sue Brady
1Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York.
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Robert H. Siegelbaum
2Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York.
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Jian Hu
1Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York.
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Danielle M. Bello
1Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York.
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Jamie Rand
1Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York.
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Charles Fisher
3Department of Anesthesia, Memorial Sloan Kettering Cancer Center, New York, New York.
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Robert A. Lefkowitz
4Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York.
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Kathleen S. Panageas
5Department of Statistics, Memorial Sloan Kettering Cancer Center, New York, New York.
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Melissa Pulitzer
6Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.
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Marissa Vignali
7Adaptive Biotechnology, Seattle, Washington.
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Ryan Emerson
7Adaptive Biotechnology, Seattle, Washington.
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Christopher Tipton
7Adaptive Biotechnology, Seattle, Washington.
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Harlan Robins
7Adaptive Biotechnology, Seattle, Washington.
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Taha Merghoub
8Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
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Jianda Yuan
8Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
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Achim Jungbluth
6Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.
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Jorge Blando
9Department of Immunology, MD Anderson Cancer Center, Houston, Texas.
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Padmanee Sharma
9Department of Immunology, MD Anderson Cancer Center, Houston, Texas.
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Alexander Y. Rudensky
10Department of Immunology, Memorial Sloan Kettering Cancer Center, New York, New York.
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Jedd D. Wolchok
8Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
10Department of Immunology, Memorial Sloan Kettering Cancer Center, New York, New York.
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James P. Allison
9Department of Immunology, MD Anderson Cancer Center, Houston, Texas.
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DOI: 10.1158/2326-6066.CIR-17-0356 Published February 2018
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  • Figure 1.
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    Figure 1.

    Melphalan and CTLA-4 blockade in a model of melanoma. A, B16 cells were treated in vitro with melphalan or vehicle control at 50 μmol/L. After 24 hours, the expression of MHC class I, MHC class II, and PD-L1 was assessed by flow cytometry. This is a representative figure from the experiment performed 3 times. Fold change was calculated based upon mean fluorescence intensity change from untreated to treated. B, Melphalan synergizes with CTLA-4 blockade. Mice with palpable allografted B16 tumors were treated with single intratumoral dose of melphalan, alone or followed by CTLA-4 blockade, 100 μg IP, every 3 days for 4 doses. Control mice received intratumoral injection of vehicle control and IP injection of isotype antibody. Shown are pooled data of 3 separate experiments (3–5 mice per treatment group per experiment, 4 experiments). C and D, Combination therapy enhances the inflammatory environment of the tumor. C, CD4 effector and CD8+ cells per gram of tumor in B16 tumors from the four treatment groups, P < 0.05 for combination versus control treatment. D, CD4 and FoxP3 expression on cells from tumors from the four treatment groups. Experiments were performed 3 times; shown is representation of one experiment. E, IFNγR−/− mice had an improved median survival for melphalan plus CTLA-4 blockade over control- or melphalan-treated mice [combination (n = 9), median survival 22 days; control (n = 5), median survival 10 days; melphalan (n = 6), 12 days, P < 0.05). However, no combination mice were cured of tumors, suggesting the importance of IFNγ on the host.

  • Figure 2.
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    Figure 2.

    Clinical benefit from combination limb infusion and CTLA-4 blockade. A, Schema of the phase II clinical trial. B, Swimmer plot of all patients, showing responses in the melphalan-treated limb. C, PFS for patients, including the 2 patients who died prior to the evaluation point. D, Example of durable response both in and outside of the limb of the infusion. This patient had an unknown primary melanoma and presented with multiple subcutaneous nodules of the limb, with groin adenopathy, biopsy-proven lung metastasis, and thoracic adenopathy. Three years after limb infusion and systemic ipilimumab, the patient remains free of disease (bottom plot).

  • Figure 3.
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    Figure 3.

    Nanostring analysis of tumors after ILI and after combination limb infusion and ipilimumab. Gene expression was compared from available pretreatment biopsies (n = 11) to post-ILI (n = 4) and post-ipilimumab (IPI; n = 14) biopsies. Tumor biopsies were taken just prior to ILI, after ILI (7–15 days), and 3 weeks after the last dose of ipilimumab. The gene expression pattern after ILI favored upregulation of costimulatory ligands, and innate immune function, whereas after combination treatment, there was increased expression of cytotoxic function, particularly granzymes, IFNγ, perforin, and ICOS.

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    Figure 4.

    Analysis of cytokines and immune cell phenotypes in the phase II trial. A, Increase in serum cytokines after combination therapy. The cytokines indicated were quantitated by Meso Scale Discovery assay in serum taken pretreatment (pre), after ILI, and after the initial ipilimumab (IPI) treatment. *, P < 0.05; ***, P < 0.001 compared with pretreatment or as indicated by brackets. Note the increase in cytotoxic cytokines after combination treatment consistent with nanostring data. B–D, Changes in T cells in blood and tumor after ILI and ipilimumab treatments, assessed by flow cytometry. B, Increase in a percentage of CD4+ Ki67+ and CD8+ Ki67+ T cells, of total CD45+ cells, in peripheral blood mononuclear cells after ILI and after the first dose of ipilimumab. C, Increase in a percentage of CD4+ ICOS+ cells after ILI and after the each of the first (of 4) ipilimumab doses. D, Analysis of tumor samples demonstrating an increase in the ratio of CD8+ T cells to CD4+FOXP3+ T cells (left) and the percentage of CD4+ICOS+ T cells (right). The bars shown mean values and SD. E and F, Immune infiltration in tumors after ILI and ipilimumab treatment. E, Representative multiplex IHC at 20x showing CD4 (green), CD8 (red), CD68 (yellow), and PD-L1 (white) on samples of a tumor before treatment (top) and after ILI and ipilimumab (bottom). F, Quantitation of the IHC results from all available tumors. Note the increase in CD4+, CD8+, and CD68+ cells. Left, box-and-whisker plot showing the median, interquartile range, and range (excluding outliers) for cells positive for CD4, CD8, and CD68. Right, mean percentage of positive cells, with dark green indicating the PD-L1–positive subset. G, H&E and IHC of a single tumor, demonstrating the pretreatment melanoma tumor cells with a paucity of immune cells but with MHC Class II expression (top), and an increase in both immune cells and MHC after ILI and IPI (bottom).

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    Figure 5.

    TCRβ seqencing. A, TCR fraction in PBMCs and in tumor at baseline (Pre-TX), after limb infusion (post-ILI), and after the fourth dose of ipilimumab (Post-IPI). Note that there is not a difference in the starting T cells between patients that derived benefit (PFS at 1 year versus not). Although there was not an overall change in T cells in the periphery, there T cells in the tumors of patients with PFS at 1 year were somewhat increased, although the change was not significant. B, Box-and-whisker plots of the clonality of the TCR fraction. The clonality did not change in the PBMC; however, there was a significant increase in clonality, or a less even distribution of T cell clones, in the tumor versus the PBMC (P = 0.015, by Wiloxon signed-rank test), after combination treatment.

Tables

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  • Table 1.

    Characteristics of the 26 patients in the phase II trial

    CharacteristicNumber (%)
    Gender
     Female10 (38)
     Male16 (62)
    Stage
     IIIB11 (42)
     IIIC12 (46)
     IV3 (12)
    Mutation status
     BRAF V600E4 (15)
     NRAS9 (35)
     WT9 (35)
     Unknown4 (15)
    Melanoma subtype
     Acral3 (12)
     Cutaneous19 (73)
     Unknown primary4 (15)
    High tumor burden
    (>50 lesions or one >3 cm)
     Yes7 (27)
     No19 (73)
  • Table 2.

    Number of patients affected by adverse events

    AnyGrade 3 or 4
    Treatment-related adverse event10 (38%)
    Any adverse event13 (50%)
    Diarrhea16 (62%)3 (12%)
    Colitis3 (12%)3 (12%)
    Fatigue18 (70%)1 (4%)
    Pruritus17 (26%)2 (8%)
    Rash18 (70%)1 (4%)
    Nausea8 (31%)0 (0%)
    Anorexia11 (42%)2 (8%)
    Headache10 (38%)0 (0%)
    Arthralgia4 (15%)1 (4%)
    Myalgia9 (35%)1 (4%)
    Pneumonitis1 (4%)0 (0%)
    Elevated liver function test resulta16 (62%)1 (4%)
    Hypothyroidism5 (19%)0 (0%)
    Hypoadrenal7 (27%)2 (8%)
    Increased lipase3 (0%)0 (0%)
    • ↵aIncludes any increase in aspartate aminotransferase (AST) or alanine aminotransferase (ALT).

  • Table 3.

    Genes upregulated in tumors after treatment relative to pretreatment

    GeneFold changeP
    After limb infusion
     TREM112.490.023
     CCL3L110.590.009
     CCL310.360.013
     TNFRSF10C9.270.004
     CXCL38.90.042
     TREM28.090.003
     CXCR27.720.030
     CCL187.590.046
     MARCO7.430.002
     CCL237.310.016
     CXCL27.170.029
     S100A127.050.047
     SLC11A17.040.027
     CXCL16.960.039
     S100A86.90.038
     LILRA55.70.025
     C95.280.006
     CCL45.030.027
     PLAUR5.030.041
     IRGM4.840.006
     CCRL24.840.017
     IL21R4.820.016
     IL3RA4.790.001
     CD704.770.010
     ITGAX4.760.032
    After limb infusion and ipilimumab
     CHIT117.270.001
     CCL188.090.001
     GZMA7.350.001
     CXCR67.230.000
     LY96.80.002
     KLRC26.680.000
     GZMH6.390.001
     GZMK6.340.003
     CCL266.250.004
     CCL36.10.010
     TREM26.010.003
     CCL3L15.950.009
     PDCD15.730.011
     SH2D1A5.40.005
     KLRK15.390.001
     CD3G5.270.006
     CD25.260.009
     NCR14.970.001
     IFNG4.90.011
     KLRG14.890.005
     IL18RAP4.880.006
     CXCR34.880.019
     CCL54.870.003
     CD274.820.015
     ICOS4.810.010
    • NOTE: Shown are the 25 genes with the greatest significant fold change.

Additional Files

  • Figures
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  • Supplementary Data

    • Supplemental Data - Supplementary Figure 1. Gemcitabine and CTLA-4 blockade synergize to create an inflammatory microenvironment and anti-tumor response. Mice with palpable tumors were treated with low dose gemcitabine followed by systemic CTLA-4 blockade. Survival was improved (A) and tumors with combination treatment had a significant influx in CD4 and CD8 Tcells (B). Elispot (C) demonstrated improved enhanced IFNγ in response to SPAS-1 peptide (SNC9H8). Supplemental Figure S2. Lack of significant change of TIM3 or LAG3 over time in peripheral blood mononuclear cells (PBMC) over time. Supplementary Table S1. Toxicities in the limb according to Wieberdink criteria Supplemental Table 2. Nanostring fold change results of all genes
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Cancer Immunology Research: 6 (2)
February 2018
Volume 6, Issue 2
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Robust Antitumor Responses Result from Local Chemotherapy and CTLA-4 Blockade
Charlotte E. Ariyan, Mary Sue Brady, Robert H. Siegelbaum, Jian Hu, Danielle M. Bello, Jamie Rand, Charles Fisher, Robert A. Lefkowitz, Kathleen S. Panageas, Melissa Pulitzer, Marissa Vignali, Ryan Emerson, Christopher Tipton, Harlan Robins, Taha Merghoub, Jianda Yuan, Achim Jungbluth, Jorge Blando, Padmanee Sharma, Alexander Y. Rudensky, Jedd D. Wolchok and James P. Allison
Cancer Immunol Res February 1 2018 (6) (2) 189-200; DOI: 10.1158/2326-6066.CIR-17-0356

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Robust Antitumor Responses Result from Local Chemotherapy and CTLA-4 Blockade
Charlotte E. Ariyan, Mary Sue Brady, Robert H. Siegelbaum, Jian Hu, Danielle M. Bello, Jamie Rand, Charles Fisher, Robert A. Lefkowitz, Kathleen S. Panageas, Melissa Pulitzer, Marissa Vignali, Ryan Emerson, Christopher Tipton, Harlan Robins, Taha Merghoub, Jianda Yuan, Achim Jungbluth, Jorge Blando, Padmanee Sharma, Alexander Y. Rudensky, Jedd D. Wolchok and James P. Allison
Cancer Immunol Res February 1 2018 (6) (2) 189-200; DOI: 10.1158/2326-6066.CIR-17-0356
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