scholarly journals Immunoprofiling of human uterine mast cells identifies three phenotypes and expression of ERβ and glucocorticoid receptor

F1000Research ◽  
2017 ◽  
Vol 6 ◽  
pp. 667 ◽  
Author(s):  
Bianca De Leo ◽  
Arantza Esnal-Zufiaurre ◽  
Frances Collins ◽  
Hilary O.D. Critchley ◽  
Philippa T.K. Saunders
Keyword(s):  
Mast Cells ◽  
Immune Cells ◽  
Immune Cell ◽  
Rna Extraction ◽  
Endometrial Tissue ◽  
Target Tissue ◽  
Messenger Rnas ◽  
Human Uterus ◽  
Tissue Samples ◽  
The Impact

Background:Human mast cells (MCs) are long-lived tissue-resident immune cells characterised by granules containing the proteases chymase and/or tryptase. Their phenotype is modulated by their tissue microenvironment. The human uterus has an outer muscular layer (the myometrium) surrounding the endometrium, both of which play an important role in supporting a pregnancy. The endometrium is a sex steroid target tissue consisting of epithelial cells (luminal, glandular) surrounded by a multicellular stroma, with the latter containing an extensive vascular compartment as well as fluctuating populations of immune cells that play an important role in regulating tissue function. The role of MCs in the human uterus is poorly understood with little known about their regulation or the impact of steroids on their differentiation status.The current study had two aims: 1) To investigate the spatial and temporal location of uterine MCs and determine their phenotype; 2) To determine whether MCs express receptors for steroids implicated in uterine function, including oestrogen (ERα, ERβ), progesterone (PR) and glucocorticoids (GR).Methods:Tissue samples from women (n=46) were used for RNA extraction or fixed for immunohistochemistry.Results:Messenger RNAs encoded byTPSAB1(tryptase) andCMA1(chymase) were detected in endometrial tissue homogenates. Immunohistochemistry revealed the relative abundance of tryptase MCs was myometrium>basal endometrium>functional endometrium. We show for the first time that uterine MCs are predominantly of the classical MC subtypes: (positive, +; negative, -) tryptase+/chymase- and tryptase+/chymase+, but a third subtype was also identified (tryptase-/chymase+). Tryptase+ MCs were of an ERβ+/ERα-/PR-/GR+ phenotype mirroring other uterine immune cell populations, including natural killer cells.Conclusions:Endometrial tissue resident immune MCs have three protease-specific phenotypes. Expression of both ERβ and GR in MCs mirrors that of other immune cells in the endometrium and suggests that MC function may be altered by the local steroid microenvironment.

scholarly journals Immunoprofiling of human uterine mast cells identifies three phenotypes and expression of ERβ and glucocorticoid receptor

F1000Research ◽  
2017 ◽  
Vol 6 ◽  
pp. 667 ◽  
Author(s):  
Bianca De Leo ◽  
Arantza Esnal-Zufiaurre ◽  
Frances Collins ◽  
Hilary O.D. Critchley ◽  
Philippa T.K. Saunders
Keyword(s):  
Mast Cells ◽  
Immune Cells ◽  
Immune Cell ◽  
Rna Extraction ◽  
Endometrial Tissue ◽  
Target Tissue ◽  
Messenger Rnas ◽  
Human Uterus ◽  
Tissue Samples ◽  
The Impact

Background:Human mast cells (MCs) are long-lived tissue-resident immune cells characterised by granules containing the proteases chymase and/or tryptase. Their phenotype is modulated by their tissue microenvironment. The human uterus has an outer muscular layer (the myometrium) surrounding the endometrium, both of which play an important role in supporting a pregnancy. The endometrium is a sex steroid target tissue consisting of epithelial cells (luminal, glandular) surrounded by a multicellular stroma, with the latter containing an extensive vascular compartment as well as fluctuating populations of immune cells that play an important role in regulating tissue function. The role of MCs in the human uterus is poorly understood with little known about their regulation or the impact of steroids on their differentiation status.The current study had two aims: 1) To investigate the spatial and temporal location of uterine MCs and determine their phenotype; 2) To determine whether MCs express receptors for steroids implicated in uterine function, including oestrogen (ERα, ERβ), progesterone (PR) and glucocorticoids (GR).Methods:Tissue samples from women (n=46) were used for RNA extraction (n=26) or fixed (n=20) for immunohistochemistry.Results:Messenger RNAs encoded byTPSAB1(tryptase) andCMA1(chymase) were detected in endometrial tissue homogenates. Immunohistochemistry revealed the relative abundance of tryptase MCs was myometrium>basal endometrium>functional endometrium. We show for the first time that uterine MCs are predominantly of the classical MC subtypes: (positive, +; negative, -) tryptase+/chymase- and tryptase+/chymase+, but a third subtype was also identified (tryptase-/chymase+). Tryptase+ MCs were of an ERβ+/ERα-/PR-/GR+ phenotype mirroring other uterine immune cell populations, including natural killer cells.Conclusions:Endometrial tissue resident immune MCs have three protease-specific phenotypes. Expression of both ERβ and GR in MCs mirrors that of other immune cells in the endometrium and suggests that MC function may be altered by the local steroid microenvironment.

scholarly journals When Cells Suffocate: Autophagy in Cancer and Immune Cells under Low Oxygen

2011 ◽  
Vol 2011 ◽  
pp. 1-13 ◽  
Author(s):  
Katrin Schlie ◽  
Jaeline E. Spowart ◽  
Luke R. K. Hughson ◽  
Katelin N. Townsend ◽  
Julian J. Lum
Keyword(s):  
Tumor Microenvironment ◽  
Cancer Cells ◽  
Immune Cells ◽  
Immune Cell ◽  
Treatment Strategies ◽  
Patient Treatment ◽  
Low Oxygen ◽  
Tumor Environment ◽  
And Function ◽  
The Impact

Hypoxia is a signature feature of growing tumors. This cellular state creates an inhospitable condition that impedes the growth and function of all cells within the immediate and surrounding tumor microenvironment. To adapt to hypoxia, cells activate autophagy and undergo a metabolic shift increasing the cellular dependency on anaerobic metabolism. Autophagy upregulation in cancer cells liberates nutrients, decreases the buildup of reactive oxygen species, and aids in the clearance of misfolded proteins. Together, these features impart a survival advantage for cancer cells in the tumor microenvironment. This observation has led to intense research efforts focused on developing autophagy-modulating drugs for cancer patient treatment. However, other cells that infiltrate the tumor environment such as immune cells also encounter hypoxia likely resulting in hypoxia-induced autophagy. In light of the fact that autophagy is crucial for immune cell proliferation as well as their effector functions such as antigen presentation and T cell-mediated killing of tumor cells, anticancer treatment strategies based on autophagy modulation will need to consider the impact of autophagy on the immune system.

scholarly journals Nutritional immunity: the impact of metals on lung immune cells and the airway microbiome during chronic respiratory disease

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Claire Healy ◽  
Natalia Munoz-Wolf ◽  
Janné Strydom ◽  
Lynne Faherty ◽  
Niamh C. Williams ◽  
...  
Keyword(s):  
Immune System ◽  
Trace Metals ◽  
Lung Disease ◽  
Chronic Lung Disease ◽  
Immune Cells ◽  
Immune Cell ◽  
Redox Activity ◽  
Nutritional Immunity ◽  
Airway Microbiome ◽  
The Impact

AbstractNutritional immunity is the sequestration of bioavailable trace metals such as iron, zinc and copper by the host to limit pathogenicity by invading microorganisms. As one of the most conserved activities of the innate immune system, limiting the availability of free trace metals by cells of the immune system serves not only to conceal these vital nutrients from invading bacteria but also operates to tightly regulate host immune cell responses and function. In the setting of chronic lung disease, the regulation of trace metals by the host is often disrupted, leading to the altered availability of these nutrients to commensal and invading opportunistic pathogenic microbes. Similarly, alterations in the uptake, secretion, turnover and redox activity of these vitally important metals has significant repercussions for immune cell function including the response to and resolution of infection. This review will discuss the intricate role of nutritional immunity in host immune cells of the lung and how changes in this fundamental process as a result of chronic lung disease may alter the airway microbiome, disease progression and the response to infection.

scholarly journals Mitosis in Cancer Cell Increases Immune Resistance via High Expression of HLA-G and PD-L1

Cancers ◽  
2020 ◽  
Vol 12 (9) ◽  
pp. 2661
Author(s):  
Matti Ullah ◽  
Warda Aoudjeghout ◽  
Cynthia Pimpie ◽  
Marc Pocard ◽  
Massoud Mirshahi
Keyword(s):  
Protein Expression ◽  
Cancer Cell ◽  
Immune Cells ◽  
Immune Cell ◽  
Leukemia Cell ◽  
Leukemia Cell Line ◽  
G1 Phase ◽  
G2 Phase ◽  
The Impact

Cancer is a result of “aggressive” division and uncontrolled proliferation of the abnormal cells that survive attack by immune cells. We investigated the expression of HLA-G and PD-L1 with the different stages of cancer cell division along with their role in the interaction of immune cells in vitro. Ovarian cancer (OVCAR-3) and chronic myeloid leukemia cell line (K-562) are used for this study. The correlation of protein expression with percentage of cells in each phase (G1, S and G2 phase) was evaluated through FACS. Cells were synchronized in G1, G2 and mitotic phase to evaluate gene (RT-qPCR) and protein expression (FACS). Real-time immune cell attack (RTICA) analysis with PBMCs (peripheral blood mono-nuclear cells) and cancer cells were performed. We found that cells expressing higher levels of HLA-G and PD-L1 are mainly in G2 phase and those expressing lower levels are mainly in G1 phase. Evidently, the higher expression of the two proteins was observed when synchronized in mitotic phase as compared to low expression when synchronized in G1 phase. RTICA analysis showed the presence of HLA-G delayed the lysis of the cells. In conclusion, the cancer cell can escape from immune cells in division stage that suggests the impact of mitosis index for cancer immunotherapy.

scholarly journals 3363 Prognostic Value of Immune-Related Biomarkers in Resected Non-Small Cell Lung Cancer

2019 ◽  
Vol 3 (s1) ◽  
pp. 153-153
Author(s):  
Rajwanth R Veluswamy ◽  
Stephanie Tuminello ◽  
Francesca Petralia ◽  
Wil Lieberman-Cribbin ◽  
Pei Wang ◽  
...  
Keyword(s):  
Nk Cells ◽  
Immune Cells ◽  
Immune Cell ◽  
Meta Analysis ◽  
Stage I ◽  
Resected Stage ◽  
Iiia Nsclc ◽  
Nsclc Patients ◽  
Lung Adenocarcinomas ◽  
The Impact

OBJECTIVES/SPECIFIC AIMS: Immune cells within the tumor microenvironment (TME) play an important role in the development and progression of non-small cell lung cancer (NSCLC). However, data evaluating the impact of individual immune cell types on NSCLC outcomes is limited and often conflicting. We performed a meta-analysis of existing data and used The Cancer Genome Atlas (TCGA) to evaluate the effect of several immune cells on surgical outcomes of stage I-IIIA NSCLC. METHODS/STUDY POPULATION: PubMed was searched to identify eligible studies evaluating survival of surgically resected stage I-IIIA NSCLC patients according to immune cell infiltration. Meta-analysis was performed using a linear mixed-effects model to determine overall, disease specific and progression free survival. We then used a similar patient subset found in the TCGA to validate the meta-analysis findings. For the TCGA analysis, sample-specific scores for different immune cells were computed via xCell using level three RNAseq data. After stratifying the cohort by histologic subtype, the association between each cell type and survival was assessed via Cox Regression, while adjusting for stage, gender and smoking status. RESULTS/ANTICIPATED RESULTS: From the meta-analysis (37 articles eligible; N = 8,162 patients), high levels of CD20+ B cells (hazard ratio [HR]: 0.36, 95% confidence interval [CI]: 0.15-0.85), natural killer (NK) cells (HR: 0.64, 95% CI: 0.41-1.0), and dendritic cells (0.34, 95% CI: 0.13-0.84) were significantly associated with better overall survival (OS); T regulatory cells (HR: 1.85, 95% CI: 1.35-2.54) were associated with worst OS. High CD8+ T cell infiltrates were associated with improved disease-free survival (DFS; HR: 0.85, 95% CI 0.73-0.99), while CD68+ macrophages (HR> 2.83, 95% CI: 1.28-6.24) were associated with worst DFS. In the TCGA cohort, lung adenocarcinomas rich in CD4 T cells, CD8 T cells, B cells, and NK cells were associated with improved OS in unadjusted analysis. In adjusted analysis, only NK cells were associated with improved OS (HR: 0.82, 95% CI: 0.69-0.98). There was no significant association of any immune cell type for DFS in lung adenocarcinomas and with both OS and DFS in Squamous Cell Lung Cancers (p>0.05 for all comparisons). DISCUSSION/SIGNIFICANCE OF IMPACT: The presence of tumor infiltration by specific immune cell subsets may potentially predict survival outcomes in resected stage I-III NSCLC patients. However, the impact of immune cells may not be similar in all histologic types and after adjusting for important clinical confounders.

Immunogenomic signatures to predict outcome in ovarian and endometrial cancers: Potential strategies in targeting the tumor immune microenvironment to improve response to immunotherapy.

2020 ◽  
Vol 38 (5_suppl) ◽  
pp. 4-4
Author(s):  
Haider Mahdi ◽  
Ying Ni
Keyword(s):  
Endometrial Cancer ◽  
Immune Cells ◽  
Transforming Growth Factor ◽  
Immune Cell ◽  
Checkpoint Inhibitors ◽  
Individual Gene ◽  
Cell Abundance ◽  
Ifn Γ ◽  
Endometrial Cancers ◽  
The Impact

4 Background: Ovarian and MSS endometrial cancers are characterized by immunosuppressive microenvironment (TME) and low response to immunotherapy with checkpoint inhibitors (CPI). Targeting immunosuppressive factors within TMErepresents an attractive approach to enhance response to CPI. Therefore, we sought to investigate different immunogenomic signatures and immune cells within TME and correlate them with survival. Methods: We used whole transcriptome sequencing of matched tumor-normal samples from 38 uterine serous cancer and TCGA data of ovarian (n = 374) and endometrial cancers (n = 541). Immunogenomic signatures focusing on Transforming Growth Factor (TGFβ), 18-genes IFN-γ and myeloid signatures (CD47 and B7H4 expressions) and immune cell abundance were investigated. Gene expression score was calculated by averaging the normalized and log transformed individual gene read counts. The optimized score cut off was selected to best separate the survival in the pilot cohort. Then the score was tested in TCGA RNAseq datasets. Population abundance of tissue-infiltrating immune cells were estimated using MCPcounter R package from bulk transcriptome data. Results: Higher IFN-γ and lower TGF-β signatures predicted better survival for endometrial and ovarian cancers (p < 0.05). The impact of TGF-β was higher in MSI-H vs. MSS cancers (p = 0.013 vs. 0.09). High CD47 predicted poor survival in endometrial cancer. Combined IFN-γ and TGF-β signatures predicted survival in the ovarian and endometrial cohorts (p < 0.001). Combined IFN-γ and CD47 expression predicted survival in endometrial cancer (p = 0.033). Analysis of immune cell abundance revealed enrichment of monocytic lineage and neutrophils but paucity of cytotoxic T-cells, NK cells, dendritic cells and B-cells. Immune cell abundance is being correlated with survival. Conclusions: Our data support the role of immunogenomic markers in predicting survival. We are evaluating these markers in predicting response to CPI in a pilot cohort. Immunogenomic markers represent the tumor microenvironment, can potentially guide rationale combination immunotherapy.

scholarly journals Integrated Analysis of Microbiome and Transcriptome Data Reveals the Interplay Between Commensal Bacteria and Fibrin Degradation in Endometrial Cancer

2021 ◽  
Vol 11 ◽  
Author(s):  
Chao Li ◽  
Ye Gu ◽  
Qizhi He ◽  
Jian Huang ◽  
Yunfeng Song ◽  
...  
Keyword(s):  
Endometrial Cancer ◽  
Degradation Products ◽  
Elevated Serum ◽  
Tumor Burden ◽  
High Serum ◽  
Endometrial Tissue ◽  
Integrated Analysis ◽  
Tissue Samples ◽  
Hematological Indicators ◽  
The Impact

The gut-uterus axis plays a pivotal role in the pathogenesis of endometrial cancer (EC). However, the correlations between the endometrial microbiome and endometrial tumor transcriptome in patients with EC and the impact of the endometrial microbiota on hematological indicators have not been thoroughly clarified. In this prospective study, endometrial tissue samples collected from EC patients (n = 30) and healthy volunteers (n = 10) were subjected to 16S rRNA sequencing of the microbiome. The 30 paired tumor and adjacent nontumor endometrial tissues from the EC group were subjected to RNAseq. We found that Pelomonas and Prevotella were enriched in the EC group with a high tumor burden. By integrating the microbiome and hematological indicators, a correlation was observed between Prevotella and elevated serum D-dimer (DD) and fibrin degradation products (FDPs). Further transcriptome analysis identified 8 robust associations between Prevotella and fibrin degradation-related genes expressed within ECs. Finally, the microbial marker of Prevotella along with DD and FDPs showed a high potential to predict the onset of EC (AUC = 0.86). Our results suggest that the increasing abundance of Prevotella in endometrial tissue combined with high serum DD and FDP contents may be important factors associated with tumor burden. The microbe-associated transcripts of host tumors can partly explain how Prevotella promotes DD and FDPs.

scholarly journals The Immune Cell Landscape in Different Anatomical Structures of Knee in Osteoarthritis: A Gene Expression-Based Study

2020 ◽  
Vol 2020 ◽  
pp. 1-21 ◽  
Author(s):  
Ziming Chen ◽  
Yuanchen Ma ◽  
Xuerui Li ◽  
Zhantao Deng ◽  
Minghao Zheng ◽  
...  
Keyword(s):  
Gene Expression ◽  
Dendritic Cells ◽  
Mast Cells ◽  
Subchondral Bone ◽  
Immune Cells ◽  
Immune Cell ◽  
M2 Macrophages ◽  
Anatomical Structures ◽  
Normal Tissues ◽  
Immunological Mechanisms

Background. Immunological mechanisms play a vital role in the pathogenesis of knee osteoarthritis (KOA). Moreover, the immune phenotype is a relevant prognostic factor in various immune-related diseases. In this study, we used CIBERSORT for deconvolution of global gene expression data to define the immune cell landscape of different structures of knee in osteoarthritis. Methods and Findings. By applying CIBERSORT, we assessed the relative proportions of immune cells in 76 samples of knee cartilage, 146 samples of knee synovial tissue, 40 samples of meniscus, and 50 samples of knee subchondral bone. Enumeration and activation status of 22 immune cell subtypes were provided by the obtained immune cell profiles. In synovial tissues, the differences in proportions of plasma cells, M1 macrophages, M2 macrophages, activated dendritic cells, resting mast cells, and eosinophils between normal tissues and osteoarthritic tissues were statistically significant (P<0.05). The area under the curve was relatively large in resting mast cells, dendritic cells, and M2 macrophages in receiver operating characteristic analyses. In subchondral bones, the differences in proportions of resting master cells and neutrophils between normal tissues and osteoarthritic tissues were statistically significant (P<0.05). In subchondral bones, the proportions of immune cells, from the principle component analyses, displayed distinct group-bias clustering. Resting mast cells and T cell CD8 were the major component of first component. Moreover, we revealed the potential interaction between immune cells. There was almost no infiltration of immune cells in the meniscus and cartilage of the knee joint. Conclusions. The immune cell composition in KOA differed substantially from that of healthy joint tissue, while it also differed in different anatomical structures of the knee. Meanwhile, activated mast cells were mainly associated with high immune cell infiltration in OA. Furthermore, we speculate M2 macrophages in synovium and mast cells in subchondral bone may play an important role in the pathogenesis of OA.

scholarly journals Tissues and Tumor Microenvironment (TME) in 3D: Models to Shed Light on Immunosuppression in Cancer

Cells ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 831
Author(s):  
Teresa Ho ◽  
Rasha Msallam
Keyword(s):  
Tumor Microenvironment ◽  
Immune Cells ◽  
Immune Cell ◽  
3D Models ◽  
Genetic Alterations ◽  
Experimental Models ◽  
Model Systems ◽  
Patient Specific ◽  
Great Promise ◽  
The Impact

Immunosuppression in cancer has emerged as a major hurdle to immunotherapy efforts. Immunosuppression can arise from oncogene-induced signaling within the tumor as well as from tumor-associated immune cells. Understanding various mechanisms by which the tumor can undermine and evade therapy is critical in improving current cancer immunotherapies. While mouse models have allowed for the characterization of key immune cell types and their role in tumor development, extrapolating these mechanisms to patients has been challenging. There is need for better models to unravel the effects of genetic alterations inherent in tumor cells and immune cells isolated from tumors on tumor growth and to investigate the feasibility of immunotherapy. Three-dimensional (3D) organoid model systems have developed rapidly over the past few years and allow for incorporation of components of the tumor microenvironment such as immune cells and the stroma. This bears great promise for derivation of patient-specific models in a dish for understanding and determining the impact on personalized immunotherapy. In this review, we will highlight the significance of current experimental models employed in the study of tumor immunosuppression and evaluate current tumor organoid-immune cell co-culture systems and their potential impact in shedding light on cancer immunosuppression.

scholarly journals A Segmentation-Free Machine Learning Architecture for Immune Landscape Phenotyping in Solid Tumors by Multichannel Imaging

2021 ◽  
Author(s):  
Shabaz Sultan ◽  
Mark A. J. Gorris ◽  
Lieke L. van der Woude ◽  
Franka Buytenhuijs ◽  
Evgenia Martynova ◽  
...  
Keyword(s):  
Machine Learning ◽  
Solid Tumors ◽  
Immune Cells ◽  
Multispectral Imaging ◽  
Immune Cell ◽  
Cell Detection ◽  
Tissue Samples ◽  
Primary Tumors ◽  
Tissue Specimens ◽  
Free Machine

Tissue specimens taken from primary tumors or metastases contain important information for diagnosis and treatment of cancer patients. Multispectral imaging allows in situ visualization of heterogeneous cell subsets, such as lymphocytes, in tissue samples. Many image processing pipelines first segment cell boundaries and then measure marker expression to assign cell phenotypes. In dense tissue environments such as solid tumors, segmentation-based phenotyping can be inaccurate due to segmentation errors or overlapping cell boundaries. Here we introduce a machine learning pipeline design called ImmuNet that directly identifies the positions and phenotypes of immune cells without determining their exact boundaries. ImmuNet is easy to train: human annotators only need to click on immune cells and rank their expression of each marker; full annotation of tissue regions is not necessary. We demonstrate that ImmuNet is a suitable approach for immune cell detection and phenotyping in multiplex immunohistochemistry: it compares favourably to segmentation-based methods, especially in dense tissues, and we externally validate ImmuNet results by comparing them to flow cytometric measurements from the same tissue. In summary, ImmuNet performs well on diverse tissue specimens, takes relatively little effort to train and implement, and is a simpler alternative to segmentation-based approaches when only cell positions and phenotypes, but not their shapes are required for downstream analyses. We hope that ImmuNet will help cancer researchers to analyze multichannel tissue images more easily and accurately.

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