scholarly journals Multiparameter Single Cell Analysis to Identify Immune Cell States That May Contribute to Successful Treatment Discontinuation in Patients with Chronic Myeloid Leukemia

Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 2999-2999
Author(s):  
Kibeom Jang ◽  
Neil P. Shah

Abstract Background: Recently, numerous clinical trials have demonstrated that approximately half of CML patients who have achieved deep and durable remissions on TKI therapy can enjoy prolonged treatment-free remissions. A major question in the field concerns why treatment interruption is not universally successful. Two non-mutually exclusive theories have been proposed to explain successful discontinuation: CML stem cell exhaustion, and immune surveillance. Identification of mediators of CML stem cell exhaustion or successful immune surveillance could lead to adjunctive therapeutic approaches. We set out to determine potential immune mediators of disease control through interrogation of clinical samples using emerging technologies. Results: Consenting patients who discontinued TKI at our institution were grouped into three categories based upon BCR-ABL1 transcript kinetics following treatment discontinuation. Group 1 is characterized by stable undetectable or minimally detectable BCR-ABL1 transcripts. Group 2 exhibited molecular relapse, defined as loss of major molecular response (MMR) requiring treatment re-initiation, typically within the first 3-9 months of treatment discontinuation. Group 3 displays kinetics that are particularly intriguing, whereby the transcript level rises substantially upon treatment cessation, but remains below the MMR threshold despite remaining off TKI therapy. We hypothesize that disease control in group 3, and a subset of patients in Group 1, is mediated by the immune system. To investigate the immune system difference between these groups, we performed single cell immune profiling in the pre- (~ 1 week) and post- (~ 3 months) discontinuation PBMC samples obtained from 15 patients through CyTOF and 10x single cell RNA sequencing. Group 1 consist of 5 patients, group 2 consist of 8 patients, and group 3 consist of 2 patients, respectively. There were no meaningful differences in the immune cell composition prior to TKI discontinuation. Assessment of the immune phenotype 3 months after discontinuation in each group by CyTOF revealed an increase in the CD4+ T cell population in group 3 following TKI discontinuation. Specifically, memory CD4+ T cells and CD38+/HLA-DR+ activated CD4+ T cells were increased in group 3. While patients in groups 1 and 2 showed only decrease or moderate change in memory CD4+ T cells and activated CD4+ T cells, group 3 showed 53% increase of memory CD4+ T cells (21% to 32%) and 640% increase of activated CD4+ T cells (0.4% to 3.3%) following TKI discontinuation. While CD45RA-/CD4+ T cells were increased in abundance, the CD45RA- population was unchanged in CD8+ T cells. 10x single cell RNA sequencing of these samples is ongoing and will be presented. Conclusions: We have conducted multiparameter single cell immune profiling in CML patients with sustained deep molecular remission, loss of MMR, or maintenance of MMR despite a sustained rise in BCR-ABL1 transcript level. Our results suggest that an increase in memory and activated CD4+ T cells following TKI discontinuation may correlate with successful immune surveillance of CML. Assessment of a larger cohort of samples is required to confirm our findings. Disclosures Shah: ARIAD: Research Funding; Bristol-Myers Squibb: Research Funding.

2021 ◽  
Vol 8 ◽  
Author(s):  
Haipeng Jia ◽  
Xiaofen Zhang ◽  
Xinxin Liu ◽  
Ruifang Qiao ◽  
Yan Liu ◽  
...  

Objective: Multiple myeloma is an incurable hematological malignancy. It is imperative to identify immune markers for early diagnosis and therapy. Here, this study analyzed immune-related mRNAs and assessed their prognostic value and therapeutic potential.Methods: Abnormally expressed immune-related mRNAs were screened between multiple myeloma and normal bone marrow specimens in the GSE47552 and GSE6477 datasets. Their biological functions were then explored. Survival analysis was presented for assessing prognosis-related mRNAs. CIBERSORT was utilized for identifying 22 immune cell compositions of each bone marrow specimen. Correlation between FABP5 mRNA and immune cells was then analyzed in multiple myeloma.Results: Thirty-one immune-related mRNAs were abnormally expressed in multiple myeloma, which were primarily enriched in B cells-related biological processes and pathways. Following validation, FABP5 mRNA was a key risk factor of multiple myeloma. Patients with its up-regulation usually experienced unfavorable outcomes. There were distinct differences in the infiltration levels of B cells naïve, B cells memory, plasma cells, T cells CD4 naïve, resting memory CD4 T cells, activated memory CD4 T cells, Tregs, resting NK cells, M0 macrophages, M1 macrophages, M2 macrophages, and neutrophils between multiple myeloma and normal samples. FABP5 mRNA had correlations to B cells memory, B cells naïve, dendritic cells activated, macrophages M0, macrophages M1, macrophages M2, neutrophils, activated NK cells, resting memory CD4 T cells, CD8 T cells and Tregs.Conclusion: Collectively, our data showed that FABP5 mRNA was related to immune microenvironment, which could be a target of immunotherapy and prognostic marker for multiple myeloma.


2019 ◽  
Vol 216 (5) ◽  
pp. 1214-1229 ◽  
Author(s):  
Lalit K. Beura ◽  
Nancy J. Fares-Frederickson ◽  
Elizabeth M. Steinert ◽  
Milcah C. Scott ◽  
Emily A. Thompson ◽  
...  

This study examines the extent to which memory CD4+ T cells share immunosurveillance strategies with CD8+ resident memory T cells (TRM). After acute viral infection, memory CD4+ T cells predominantly used residence to survey nonlymphoid tissues, albeit not as stringently as observed for CD8+ T cells. In contrast, memory CD4+ T cells were more likely to be resident within lymphoid organs than CD8+ T cells. Migration properties of memory-phenotype CD4+ T cells in non-SPF parabionts were similar, generalizing these results to diverse infections and conditions. CD4+ and CD8+ TRM shared overlapping transcriptional signatures and location-specific features, such as granzyme B expression in the small intestine, revealing tissue-specific and migration property–specific, in addition to lineage-specific, differentiation programs. Functionally, mucosal CD4+ TRM reactivation locally triggered both chemokine expression and broad immune cell activation. Thus, residence provides a dominant mechanism for regionalizing CD4+ T cell immunity, and location enforces shared transcriptional, phenotypic, and functional properties with CD8+ T cells.


2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 191.2-191
Author(s):  
Y. Chen ◽  
Y. Ye ◽  
H. Wu ◽  
P. L. Krauß ◽  
P. Löwe ◽  
...  

Background:Inflamm-aging is a chronic, sterile, low-grade inflammatory status, characterized by an increase of proinflammatory cytokines which participate in the development of most age-related diseases such as cancer, Alzheimer’s disease, type 2 diabetes mellitus, stroke, cardiovascular diseases, and rheumatoid arthritis (RA). As cellular metabolism modulates T cell function, it can be assumed that metabolic changes accompany the differentiation of memory CD4+ T cells into senescent CD4+ T cell and contribute to memory CD4+ T cells dysfunction during aging.Objectives:Therefore, we hypothesized that metabolic reprograming in memory CD4+ T cells might represent an essential factor promoting immune cell dysfunction during aging, thereby fuelling to the pathogenesis of age-related diseases including RAMethods:To this end, we analysed memory CD4+ T cells isolated from PBMCs of young donors (20-32 years) and old donors (52-67 years) by using MACSTM technology. Ex vivo memory CD4+ T cells were analysed by SeahorseTM Technology to determine proton efflux rate (PER) as a measure of glycolysis (glycPER) and oxygen consumption rate (OCR) as a measure of mitochondrial respiration (mitoOCR). Cytokine expression and secretion was measured by flow cytometry and multiplex assay with and without Mitotempo an inhibitor of reactive oxygen species (ROS). Finally, TCR-stimulated memory CD4+ T cell proliferation was determined using CSFE and Ki-67 after 3 days and 4 days by flow cytometry. ROS and mitochondrial activity were analysed after 24 h using DCF-DA and CellROX Deep Red and Mitotracker by flow cytometry.Results:In a quiescent state, memory CD4+ T cells from elderly individuals demonstrated a decrease in basal glycolysis and compensatory glycolysis, and an increase in the ratio of basal mitochondrial oxygen consumption rate (mitoOCR) to glycolytic proton efflux rate (glycoPER) while their mitochondrial profile was equivalent to that of young donors while the amount of mitochondria was higher with no increase in steady-state ATP level. In this line and in comparison to the younger reference group, memory CD4+ T cells from aged donors presented a greater spare respiratory capacity after TCR-activation and a marked increase in intracellular ROS production. Interestingly, we did not observe an impact of aging on memory CD4+ T cell proliferation as determined by CFSE and Ki-67. Although the capacity of intracellular cytokine expression did not differ between the compared groups, the levels of secreted IFN-γ, IP-10, IL-6, IL-9, and MCAF were significantly higher in the supernatants of memory CD4+ T cells taken from aged donors but were sensitive to ROS inhibition. .Conclusion:These findings suggest that metabolic reprogramming in human memory CD4+ T cells during aging results in an increased expression of proinflammatory cytokines as a result of ROS production and mitochondrial dysfunction. This process may culminate in T cell dysfunction and thus contribute to the pathogenesis of inflamm-aging and the development of age-related diseases such as rheumatoid arthritis (RA).Disclosure of Interests:None declared.


2019 ◽  
Author(s):  
Eddie Cano-Gamez ◽  
Blagoje Soskic ◽  
Theodoros I. Roumeliotis ◽  
Ernest So ◽  
Deborah J. Smyth ◽  
...  

AbstractNaïve CD4+ T cells coordinate the immune response by acquiring an effector phenotype in response to cytokines. However, the cytokine responses in memory T cells remain largely understudied. We used quantitative proteomics, bulk RNA-seq and single-cell RNA-seq of over 40,000 human naïve and memory CD4+ T cells to generate a detailed map of cytokine-regulated gene expression programs. We demonstrated that cytokine response differs substantially between naïve and memory T cells and showed that memory cells are unable to differentiate into the Th2 phenotype. Moreover, memory T cells acquire a Th17-like phenotype in response to iTreg polarization. At the single-cell level, we demonstrated that T cells form a continuum which progresses from naïve to effector memory T cells. This continuum is accompanied by a gradual increase in the expression levels of chemokines and cytokines and thus represents an effectorness gradient. Finally, we found that T cell cytokine responses are determined by where the cells lie in the effectorness gradient and identified genes whose expression is controlled by cytokines in an effectorness-dependent manner. Our results shed light on the heterogeneity of T cells and their responses to cytokines, provide insight into immune disease inflammation and could inform drug development.


2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e15181-e15181 ◽  
Author(s):  
Ning He ◽  
Jianfei Wang ◽  
Lingyu Wang ◽  
Ge Jin ◽  
Rongbo Lin ◽  
...  

e15181 Background: Tumor cell’s metabolism has been identified assisting immune evasion in tumor micro environment (TME), and it is very different from that of immune cells. Previous studies mostly focus on bulk or cell lines transcriptome; we aim to find the specific metabolic model of tumor cell based on vast single cell RNA-seq data. Methods: Public transcriptome of 7186 cells (SMART-Seq2) from 33 melanoma tumors in Benjamin’s study were collected from Single Cell Portal of Broad Institute, and metabolic genes were obtained from Human Metabolome Database (HMDB). Raw count data was preprocessed and analyzed using Seurat R package. Statistical analysis and data visualization were all carried out using R software. Results: Metabolic signature genes of malignant cells (Mals), CD8+ T cells, CD4+ T cells, B cells, natural killer (NK) cells, macrophages, cancer associated fibroblasts (CAFs), and endothelial cells (Endos) were extracted using Seurat. Mals, CAFs, Endos and macrophages shared similar metabolism patterns (high-level glycolysis, pyruvate metabolism, purine metabolism and specific proteoglycans profile compared to immune cells, p < 0.01). Glutathione metabolism activity in Mal was higher than that in immune cell, especially GPX1, GPX4 and GSTO1 genes were highly expressed in Mal ( fc > 2, p < 0.01). Compared to immune cells, genes participate in glycolysis, PFKL, ADH5, ENO2, G6PC3, PGM1, ALDH1B1, PFKM, ALDH7A1, GAPDHS, TPI1, PGK1, LDHA, GPI, PKM, LDHB, ENO1, ALDOA and GAPDH were highly expressed in Mals, CAFs and Endos ( fc > 2, p < 0.01). Noteworthily, LGALS1, an inducer of T-cell apoptosis, was highly expressed in Mals and CAF ( fc > 2, p < 0.01). Otherwise, proteoglycans (PGs) in cancer, which contribute to cancer pathogenesis, exhibited high variation from immune cells. Conclusions: We firstly highlight the differential metabolism between tumor and immune cells in TME. Mals, CAFs, endothelial cells and macrophages can assist in evading immune surveillance through reshaping their metabolic patterns at cell level. This study is helpful for exploring new target of metabolic based anti-cancer immunotherapy.


2020 ◽  
Author(s):  
Zeyu Yang ◽  
Tianjing Du ◽  
Qiao Xiong ◽  
Weiwei Zhang ◽  
Chao Wang ◽  
...  

Abstract Background The role of immune cell infiltration in tumor biology and the potential of immunotherapy for the treatment of several cancers have been proven. However, the immunogenomic landscape and immune cell infiltration need to be comprehensively analyzed in bladder cancer (BC). This study aimed to explore the immune-related genes (IRGs) in BC to create a prognostic risk assessment model and gain some insights into the molecular underpinnings of BC. Methods Based on the datasets retrieved from The Cancer Genome Atlas (TCGA) database, we identified survival-associated IRGs via univariate Cox analysis. Then, we created an immune-related gene-based prognostic factor (IRGPF) and validated it by multivariable Cox analysis. We displayed the profiles of 22 types of immune cells by using CIBERSORT and explored the relationship between IRGs and immune cell infiltration. Results Altogether, 58 differentially expressed IRGs were found to be associated with the prognosis of patients with BC. We constructed a prognostic assessment model as an IRGPF with IRGs (THBS1, CXCL9, CXCL11, FABP6, BIRC5, and PPY). Profiles of the infiltrating immune cells confirmed their significance based on clinical factors and individual differences. The IRGPF was related to immune cell infiltration, and the key gene was identified as THBS1. Conclusions Our findings confirmed that IRGs could act as independent prognostic factors and immune-driver factors. Patients with high levels of activated memory CD4 T cells but low levels of resting memory CD4 T cells had a better prognosis. This study indicates the possibility of developing new immunotherapeutic strategies and individualized treatment based on this approach.


Sign in / Sign up

Export Citation Format

Share Document