| Literature DB >> 32913031 |
Maysaloun Merhi1, Afsheen Raza1, Varghese Philipose Inchakalody1, Kodappully S Siveen2, Deepak Kumar3, Fairooz Sahir2, Sarra Mestiri2, Shereena Hydrose2, Niloofar Allahverdi2, Munir Jalis2, Allan Relecom2, Lobna Al Zaidan2, Mohamed Sir Elkhatim Hamid2, Mai Mostafa2, Abdul Rehman Zar Gul2, Shahab Uddin2, Mohammed Al Homsi2, Said Dermime4.
Abstract
Combined radioimmunotherapy is currently being investigated to treat patients with cancer. Anti-programmed cell death-1 (PD-1) immunotherapy offers the prospect of long-term disease control in solid tumors. Radiotherapy has the ability to promote immunogenic cell death leading to the release of tumor antigens, increasing infiltration and activation of T cells. New York esophageal squamous cell carcinoma-1 (NY-ESO-1) is a cancer-testis antigen expressed in 20% of advanced gastric cancers and known to induce humoral and cellular immune responses in patients with cancer. We report on the dynamic immune response to the NY-ESO-1 antigen and important immune-related biomarkers in a patient with metastatic gastric cancer treated with radiotherapy combined with anti-PD-1 pembrolizumab antibody.Our patient was an 81-year-old man diagnosed with locally advanced unresectable mismatch repair-deficient gastric cancer having progressed to a metastatic state under a second line of systemic treatment consisting of an anti-PD-1 pembrolizumab antibody. The patient was subsequently treated with local radiotherapy administered concomitantly with anti-PD-1, with a complete response on follow-up radiologic assessment. Disease control was sustained with no further therapy for a period of 12 months before relapse. We have identified an NY-ESO-1-specific interferon-γ (IFN-γ) secretion from the patients' T cells that was significantly increased at response (****p˂0.0001). A novel promiscuous immunogenic NY-ESO-1 peptide P39 (P153-167) restricted to the four patient's HLA-DQ and HLA-DP alleles was identified. Interestingly, this peptide contained the known NY-ESO-1-derived HLA-A2-02:01(P157-165) immunogenic epitope. We have also identified a CD107+ cytotoxic T cell subset within a specific CD8+/HLA-A2-NY-ESO-1 T cell population that was low at disease progression, markedly increased at disease resolution and significantly decreased again at disease re-progression. Finally, we identified two groups of cytokines/chemokines. Group 1 contains five cytokines (IFN-γ, tumor necrosis factor-α, interleukin-2 (IL-2), IL-5 and IL-6) that were present at disease progression, significantly downregulated at disease resolution and dramatically upregulated again at disease re-progression. Group 2 contains four biomarkers (perforin, soluble FAS, macrophage inflammatory protein-3α and C-X-C motif chemokine 11/Interferon-inducible T Cell Alpha Chemoattractant that were present at disease progression, significantly upregulated at disease resolution and dramatically downregulated again at disease re-progression. Combined radioimmunotherapy can enhance specific T cell responses to the NY-ESO-1 antigen that correlates with beneficial clinical outcome of the patient. © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.Entities:
Keywords: CD4-CD8 ratio; antigens; biomarkers; case reports; combined modality therapy; neoplasm; tumor
Year: 2020 PMID: 32913031 PMCID: PMC7484873 DOI: 10.1136/jitc-2020-001278
Source DB: PubMed Journal: J Immunother Cancer ISSN: 2051-1426 Impact factor: 13.751
Figure 1Clinical course of disease and time-points for collection of blood samples, for pembrolizumab (Pembro) cycles, radiotherapy sessions and PET–CT imaging. (A) On the left: dates for pembrolizumab cycles and for PET–CT scan. On the middle (red shapes): dates for blood samples collection. On the right: radiotherapy duration. (B) PET–CT scan images showing the clinical evolution of the disease at different time-points before and after combined radiotherapy–pembrolizumab treatment. (a) PET–CT conducted in November 2017 showed disease progression with increased metabolism in the primary lesion and development of multiple new abdominal metastatic lymph nodes. (b) Restaging with PET–CT done in February 2018 showed a near-complete resolution of gastric wall uptake with complete disappearance of locoregional and other retroperitoneal lymph nodal activities. (c) PET–CT done on February 27, 2019, revealed disease re-progression with extent of intense uptake in the stomach. PET, positron emission tomography.
Figure 2Enzyme-linked ImmunoSpot (ELISpot) assay for IFN-γ production by T cells from patient’s peripheral blood mononuclear cells (PBMCs). (A) IFN-γ production by patient’s T cells from PBMCs at disease progression, disease resolution and disease re-progression after in vitro challenge with NY-ESO-1 antigen (PepMix pool of 43 overlapping peptides for NY-ESO-1 antigen). (B) IFN-γ production by patient’s T cells from PBMCs at disease re-progression, in the presence of the selected 18 immunogenic single peptides (based on data presented in online supplementary figure S2) and two known immunogenic NY-ESO-1 peptides; the NY-ESO-1 promiscuous immunogenic 87–111 peptide (P87–111) and NY-ESO-1 HLA-A2-02:01 NY-ESO-1 restricted peptide (P157–165). For figure 2A, we performed unpaired non-parametric analysis of variance followed by Tukey’s multiple comparison test to compare T cell response at different stages of the patient’s disease (progression, resolution and re-progression). For figure 2B, we used non-parametric Mann-Whitney statistical analysis to compare the response to each peptide with the response to the negative control (actin). ELISpot assays were repeated twice with triplicates and the shown data corresponds to one representative experiment. P values ˂0.05 were considered statistically significant. (C). EliSpot assay showing the restriction response to HLA-DP and HLA-DQ molecules. IFN-γ, interferon-γ; NY-ESO-1, New York esophageal squamous cell carcinoma-1.
Figure 3Phenotyping and functional characterization of patient’s T cells from peripheral blood using flow cytometry. (A) Dot blots represent CD4+ and CD8+ subsets (gated on CD3+ T cells) at disease progression, resolution and re-progression. CD4+ was the major T cell subset at disease progression and re-progression, but it dramatically decreased at resolution where we observed a significantly dominating CD8+ T cell population. (B) Histograms represent percentage of CD8+/HLA-A2-NY-ESO-1-dextramer+ T cell population in peripheral blood from the patient at disease progression, resolution and re-progression and from two healthy donors (HLA-A2 positive and negative donors). CD8+/HLA-A2-NY-ESO-1-dextramer+ T cells were relatively increased at disease re-progression. (C) Histograms represent percentage of CD107+ cytotoxic marker in CD8+/HLA-A2-NY-ESO-1-dextramer+ population in peripheral blood from the patient and the two healthy donors (HLA-A2 positive and negative donors). CD107+ cytotoxic CD8+/HLA-A2-NY-ESO-1-dextramer+ population was low at disease progression and re-progression and markedly increased at disease resolution. Flow cytometry assays were repeated two times and the shown data correspond to one representative experiment. NY-ESO-1, New York esophageal squamous cell carcinoma-1.
Figure 4Differential expression of cytokines/chemokines in patient’s plasma. The expression of different cytokines/chemokines was quantified by multiplexing assay in patient’s plasma from three time-points: first disease progression, disease resolution and re-progression. (A) Cytokines/chemokines decreased at disease resolution: the five biomarkers IFN-γ, TNF-α, IL-2, IL-5 and IL-6 were significantly downregulated after disease resolution and then upregulated once re-progression was observed. (B) Cytokines/chemokines increased at disease resolution: perforin, FAS, MIP-3α and CXCL-11 (ITAC) were significantly upregulated after disease resolution and then downregulated at re-progression. The experiments were repeated two times. In each experiment, the samples were done in triplicates. Values represent concentrations (mean±SD). Statistical analysis was carried out using non-parametric unpaired analysis of variance followed by Tukey’s multiple comparison test and p values ˂0.05 were considered statistically significant. CXCL-11, C-X-C motif chemokine 11; IFN-γ, interferon-gamma; IL-2, interleukin-2; IL-5, interleukin-5; IL-6, interleukin-6; MIP-3α, macrophage inflammatory protein-3α; sFAS, soluble FAS cytokine; TNF, tumor necrosis factor-alpha.