Abstract 975: Single cell RNA sequencing of esophageal adenocarcinoma before and after chemotherapy alone and with pembrolizumab identifies novel tumor immune microenvironment alterations

Author(s):  
Prashant V. Thakkar ◽  
Sandipto Sarkar ◽  
Chao Zhang ◽  
Dina Elmonshed ◽  
Emma Futamura ◽  
...  
Blood ◽  
2020 ◽  
Vol 136 (Supplement 1) ◽  
pp. 33-34
Author(s):  
Vivian Changying Jiang ◽  
Shaojun Zhang ◽  
Junwei Lian ◽  
Yuanxin Wang ◽  
Rongjia Zhang ◽  
...  

Introduction: Mantle cell lymphoma (MCL) is a rare and aggressive subtype of B-cell non-Hodgkin's lymphoma with high risk of relapse after frontline therapies. Ibrutinib and venetoclax are two efficacious therapies for refractory/relapsed MCL patients. However, resistance to these therapies occurs frequently and is an urgent unmet clinical need. To understand the underlying mechanism of how intra- and inter-tumor heterogeneity (ITH) and its immune microenvironment contributes to therapeutic resistance, we performed a state-of-art single cell RNA sequencing on longitudinal samples from ibrutinib and venetoclax dual-resistant MCL patients with side-by-side comparison to ibrutinib-sensitive patients in our discovery cohort. To support our novel findings, patient samples from multiple validation cohorts were collected and analyzed via various approaches. Methods: Patient specimens from our discovery cohort that included ibrutinib-sensitive and ibrutinib-venetoclax dual-resistant MCL patients were collected longitudinally and subject to single cell RNA sequencing using 10x genomics. Integrative computational analysis was conducted to uncover the ITH and tumor immune microenvironment at single cell resolution and the underlying mechanism of therapeutic resistance and clonal evolution. To validate the novel findings, additional cohorts of patient samples were collected and subject to bulk RNA sequencing, whole exome sequencing, and multi-color flow cytometry analysis. An orthotopic PDX model was established from one of the ibrutinib-venetoclax dual-resistant MCL patients and was used to validate the novel findings as well as to test the potential therapies in vivo to overcome resistance. Results: To understand the underlying mechanism of heterogeneity and therapeutic relapse, we carried out sequential single cell RNA sequencing on 21 specimens (18,794 cells in total) collected from ibrutinib-sensitive and ibrutinib-venetoclax dual-resistant MCL patients along the course of ibrutinib and/or venetoclax treatments. Integrative computational analysis revealed a high degree of ITH with distinct profiles of cellular and molecular transcriptome. We revealed 15 top cancer hallmarks associated with disease progression and therapeutic resistance, albeit with remarkable clinical, pathological, and genetic-based inter-patient heterogeneity. We observed appearance and clearance of multiple subpopulations in patient blood samples, which likely interprets the clinical ibrutinib-induced lymphocytosis phenomenon at single-cell resolution and disease-progression-associated clonal evolution, which were further validated. Our analysis revealed reprogramming of the tumor microenvironment and tumor immune evasion. Moreover, we revealed multiple actionable targets to help overcome therapeutic resistance as tailored anti-MCL strategies. We found that the 17q gain strongly correlated with this dual resistance and thus targeting survivin located at 17q by YM155 significantly inhibited tumor growth and prolonged mouse survival in the ibrutinib-venetoclax dual-resistant PDX model. Conclusions: This study is the first to describe the mechanisms underlying dual resistance to ibrutinib and venetoclax at the single cell level. We not only identified various pathways underlying this resistance, but also characterized the evolutionary dynamics by using a longitudinal sampling strategy to uncover the underlying mechanisms. We found that the 17q gain highly correlates with ibrutinib-venetoclax dual resistance and showed that inhibition of survivin, located at 17q, overcame this dual resistance. These data provide evidence that 17q gain may be the driving force of disease progression and therapeutic resistance. Moreover, for the first time in MCL, we characterized changes in tumor immune microenvironment and identified a T-cell exhaustion signature correlated with the dual resistance. These changes to the tumor microenvironment strongly suggest the role of immune resistance in mediating dual resistance to ibrutinib and venetoclax in MCL. Disclosures Wang: Lu Daopei Medical Group: Honoraria; Beijing Medical Award Foundation: Honoraria; OncLive: Honoraria; Molecular Templates: Research Funding; Verastem: Research Funding; Dava Oncology: Honoraria; Guidepoint Global: Consultancy; Nobel Insights: Consultancy; Oncternal: Consultancy, Research Funding; InnoCare: Consultancy; Acerta Pharma: Research Funding; VelosBio: Research Funding; BioInvent: Research Funding; Juno: Consultancy, Research Funding; Kite Pharma: Consultancy, Other: Travel, accommodation, expenses, Research Funding; Pulse Biosciences: Consultancy; Loxo Oncology: Consultancy, Research Funding; Targeted Oncology: Honoraria; OMI: Honoraria, Other: Travel, accommodation, expenses; Celgene: Consultancy, Other: Travel, accommodation, expenses, Research Funding; AstraZeneca: Consultancy, Honoraria, Other: Travel, accommodation, expenses, Research Funding; Janssen: Consultancy, Honoraria, Other: Travel, accommodation, expenses, Research Funding; MoreHealth: Consultancy; Pharmacyclics: Consultancy, Honoraria, Other: Travel, accommodation, expenses, Research Funding.


2018 ◽  
Vol 31 (Supplement_1) ◽  
pp. 190-190
Author(s):  
Robert Walker ◽  
Maria Secrier ◽  
Jack Harrington ◽  
Rachel Parker ◽  
Jamie Kelly ◽  
...  

Abstract Background Esophageal adenocarcinoma (EAC) develops in a complex ecosystem that defines tumour evolution, response to treatment and patient outcomes. We have shown that high levels of cancer associated fibroblast (CAF) in the tumour microenvironment (TME) predicts poor outcome and is inversely related to tumour infiltrating lymphocyte (TILs) abundance. Bulk sequencing studies lack the resolution to dissect the phenotypic and functional heterogeneity and cell-cell interactions of the TME. We have applied single cell RNA sequencing to 12 EAC patients to address this challenge. Methods A total of 24 single-cell suspensions were prepared from resected specimens and paired normal tissue. Single cells and barcoded mRNA-binding micro-particles were combined in droplets containing cell lysis buffer using a custom-built microfluidic platform. Captured mRNA with a cell barcode and unique molecular identifier was reverse transcribed, amplified and sequenced. SEURAT (v2.1, R-package) was used to identify highly-variable genes and perform cell clustering. Results Analysis of 6859 of the highest quality cells using the 4167 most variable genes revealed 46 clusters which were divided into 12 broad populations. Antigen Presenting Cells (n = 189), B Cells (n = 265), Cancer Cells (n = 1449), Endothelial Cells (321), Fibroblasts (1690), Mast Cells (n = 184), Monocytes/Macrophages (n = 254), Plasma Cells (n = 208), Smooth Muscle, (n = 115), Squamous Epithelium (n = 751), T Cells (n = 1433). Analysis of publicly available bulk RNAseq datasets (TCGA) of EAC showed that tumours that were ‘hot’ for a CAF gene signature were ‘cold’ for a T-Cell signature. Subset analysis of the fibroblasts from tumour samples that were enriched for the same CAF signature revealed 3 subtly different clusters. One of these sub-populations differentially expressed genes associated with the Gene Ontology terms GO:00,40011 (locomotion) GO:0,006928 (movement of cell or subcellular component) and GO:00,48870 (cell motility). The two tumours with the highest ratio of this type of CAF to T-Cells were both found to have distant metastasis at resection. Conclusion EAC CAFs are a heterogeneous population with distinct biological functions which may have different implications for prognosis. These early results suggest that we are able to identify candidate biological processes that may describe the mechanisms through which CAFs and TILs influence outcome. Disclosure All authors have declared no conflicts of interest.


Nature Cancer ◽  
2020 ◽  
Vol 1 (5) ◽  
pp. 493-506 ◽  
Author(s):  
Oksana Zavidij ◽  
Nicholas J. Haradhvala ◽  
Tarek H. Mouhieddine ◽  
Romanos Sklavenitis-Pistofidis ◽  
Songjie Cai ◽  
...  

2019 ◽  
Author(s):  
Nicholas J. Haradhvala ◽  
Oksana Zavidij ◽  
Tarek H. Mouhieddine ◽  
Romanos Sklavenitis-Pistofidis ◽  
Jihye Park ◽  
...  

2021 ◽  
Vol 11 ◽  
Author(s):  
Arya Zarinsefat ◽  
George Hartoularos ◽  
Dmitry Rychkov ◽  
Priyanka Rashmi ◽  
Sindhu Chandran ◽  
...  

COVID-19 has posed a significant threat to global health. Early data has revealed that IL-6, a key regulatory cytokine, plays an important role in the cytokine storm of COVID-19. Multiple trials are therefore looking at the effects of Tocilizumab, an IL-6 receptor antibody that inhibits IL-6 activity, on treatment of COVID-19, with promising findings. As part of a clinical trial looking at the effects of Tocilizumab treatment on kidney transplant recipients with subclinical rejection, we performed single-cell RNA sequencing of comparing stimulated PBMCs before and after Tocilizumab treatment. We leveraged this data to create an in vitro cytokine storm model, to better understand the effects of Tocilizumab in the presence of inflammation. Tocilizumab-treated cells had reduced expression of inflammatory-mediated genes and biologic pathways, particularly amongst monocytes. These results support the hypothesis that Tocilizumab may hinder the cytokine storm of COVID-19, through a demonstration of biologic impact at the single-cell level.


2019 ◽  
Vol 19 (10) ◽  
pp. e27
Author(s):  
Oksana Zavidij ◽  
Nicholas J. Haradhvala ◽  
Tarek Mouhieddine ◽  
Romanos Sklavenitis-Pistofidis ◽  
Michael P. Agius ◽  
...  

2019 ◽  
Author(s):  
Nicholas J. Haradhvala ◽  
Oksana Zavidij ◽  
Tarek H. Mouhieddine ◽  
Romanos Sklavenitis-Pistofidis ◽  
Jihye Park ◽  
...  

2020 ◽  
Author(s):  
Arya Zarinsefat ◽  
George Hartoularos ◽  
Sindhu Chandran ◽  
Chun J. Yee ◽  
Flavio Vincenti ◽  
...  

AbstractCOVID-19 has posed a significant threat to global health. Early data has revealed that IL-6, a key regulatory cytokine, plays an important role in the cytokine storm of COVID-19. Multiple trials are therefore looking at the effects of Tocilizumab, an IL-6 receptor antibody that inhibits IL-6 activity, on treatment of COVID-19, with promising findings. As part of a clinical trial looking at the effects of Tocilizumab treatment on kidney transplant recipients with subclinical rejection, we performed single-cell RNA sequencing of comparing stimulated PBMCs before and after Tocilizumab treatment. We leveraged this data to create an in vitro cytokine storm model, to better understand the effects of Tocilizumab in the presence of inflammation. Tocilizumab-treated cells had reduced expression of inflammatory-mediated genes and biologic pathways, particularly amongst monocytes. These results support the hypothesis that Tocilizumab may hinder the cytokine storm of COVID-19, through a demonstration of biologic impact at the single-cell level.


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