Introduction: Unmet needs exist for immunotherapy targeting PD-1/PD-L1 in head and neck squamous cell carcinoma (HNSCC) and lung squamous cell carcinoma (LUSC) due to its suboptimal response. Amivantamab, a bispecific antibody targeting epidermal growth factor receptor (EGFR) and c-Met, has been demonstrated to induce antibody-dependent cytotoxicity and trogocytosis in tumor cells. We hypothesized that combination of amivantamab with pembrolizumab may synergistically enhance antitumor immunity. In this study, we present comprehensive immunomodulatory and synergistic antitumor efficacy of amivantamab and pembrolizumab in humanized HNSCC and LUSC mice models. Methods: EGFR and MET-expressing tumors from a HNSCC and a LUSC patient were transplanted into Hu-CD34-NSG to establish humanized patient-derived xenograft (PDX) models. Tumor-bearing PDXs were treated with vehicle, pembrolizumab (10mpk, Q5D, n=10), amivantamab (10mpk, BIW, n=10), or a combination of pembrolizumab and amivantamab (n=10). Analysis of immune modulatory responses within the tumor microenvironment (TME) using multiplexed IHC, flow cytometry, and single cell RNA sequencing was performed. Results: Combination of amivantamab and pembrolizumab showed a significant reduction of tumor volume (p<0.001) compared to vehicle or single treatment in both models. Additionally, significantly longer survival was observed for combination treated compared to the vehicle treated groups (p<0.0001). Multispectral imaging of tumor indicated that granzyme B-producing CD8+ T cells were significantly increased within the tumor in the combination group (p<0.01). Further analysis of T cell subsets suggested that central memory type CD8+ T cells were increased upon combination treatment. This group also demonstrated significantly higher CEA-tetramer positive CD8+ T cells in the tumor (p<0.01), suggesting that cytotoxic T cells recognizing tumor specific antigens enhanced antitumor immune response. Single cell RNA sequencing analysis of HNSCC showed that an EGFRhighMEThigh cluster was enriched in the TME after pembrolizumab treatment. This subcluster had elevated glycolysis and lactic acid pathway-related genes compared to EGFRlowMETlow cluster. Lactate transporter, MCT4 (SLC16A3) and LDHA genes were dramatically increased in the EGFRhighMEThigh cluster. Elevated lactic acid pathway may lead to immune evasion in the tumor, dampening the activity of pembrolizumab. Interestingly, combination treatment with amivantamab could reduce EGFRhighMEThigh cluster, and could effectively control tumor via creating favorable immune TME. Conclusion: Our study demonstrated combinatorial benefits of amivantamab and pembrolizumab by effectively remodeling TME, providing a preclinical rationale to clinically combine amivantamab and PD-1 blockade treatments. Citation Format: Sun Min Lim, Chun-Bong Synn, Seong-san Kang, DongKwon Kim, Soo-Hwan Lee, Sujeong Baek, Seung Min Yang, Yu Jin Han, Mi hyun Kim, Heekyung Han, Kwangmin Na, Young Taek Kim, Sungwoo Lee, Mi Ran Yun, Jae Hwan Kim, Youngseon Byeon, Young Seob Kim, Jii Bum Lee, Ji Yun Lee, Chang Gon Kim, Min Hee Hong, Kyoung-Ho Pyo, Joshua Curtin, Bharvin Patel, Isabelle Bergiers. Combinatorial activity of amivantamab and pembrolizumab in head and neck squamous cell carcinoma and lung squamous cell carcinoma expressing wild-type EGFR and MET [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 5865.
Background: Background: Multiple Myeloma (MM) is an incurable plasma cell (PC) malignancy that evolves from two premalignant stages: Monoclonal Gammopathy of Undetermined Significance (MGUS) and Smoldering Multiple Myeloma (SMM). The disease progression has been characterized to be driven by intrinsic genomic events in the myeloma cells and by gradual dysregulation of the immune system. Aims:Aims: We investigated how the interplay between tumor cells with their microenvironment and the underlying complex and dynamic immune biology evolve during this process. Methods:Methods: Single cell multi-omics profiling, including RNA, B-cell receptor (BCR) and antibody barcode-tagged 10x sequencing, was conducted on human bone marrow (BM) aspirates collected at 6 Belgian centers from 4 cohorts: 31 healthy elderly and 28 MGUS, 32 SMM and 32 newly diagnosed MM. Mononuclear cell isolation, freezing and transport to central facilities was optimizedand data were integrated and filtered using Scanpy and Scirpy. The main immune cell types were identified from the RNA and antibody data using SingleR. Further functional subtyping was done using Leiden clustering. Differential pathway expression analysis was performed with Muscat and FGSEA. Results:Results: From the tumor cell transcriptomes, our analyses confirmed the previously documented myeloma molecular hallmarks, such as MYC and IFN-a signaling, cell proliferation, energy metabolism and oxidative phosphorylation. Evidence was found for transcriptomic similarities and within-and between-patient malignant PC transcriptomic heterogeneity, as well as the existence of multiple transcriptomic clones in several patients. We observed a positive correlation between the antigen processing mechanism in the PCs with IFN response, suggesting that this mechanism associates with initiation of the immune recognition and activation against the tumor.The gradually increasing differential gene expression was also observed in the immune microenvironment: dysregulation of signaling pathways initiates early in MGUS and spreads throughout the various cell types surrounding the tumor cells. Cell population shifts were also found. In the CD1C+ DCs, that play a role in cancer immune control, a functional shift was observed that correlated with disease progression towards a more mature and antigen presenting phenotype with higher levels of CD83, HBEGF, MCL1 and CXCL16 as well as increased TNF-a pathway. Similarly, a shift was observed in the macrophage population, toward M1 state showing high IFN response along with expression of MS4A4A, STAT1, TNFSF13B and TRAIL in more severe disease. Interestingly, in the CD8+ T cells, we detected a pre-dysfunctional subpopulation with high expression of GZMK, activation markers CD69, CCL4, CXCR4 and genes associated with T cell pre-dysfunctionality NR4A2, RGS1, TOX and TIGIT, that was found to be associated with progression (Figure). In the CD4+ cytotoxic T cells, a proportion change was observed with more severe disease.
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