scholarly journals Analysis of Therapeutic Targets and Prognostic Biomarkers of CXC Chemokines in Cervical Cancer Microenvironment

2021 ◽  
Author(s):  
Wei na Kong ◽  
Gang Zhao ◽  
Hai xia Chen ◽  
Wei na Wang ◽  
Xiao qian Shang ◽  
...  
Keyword(s):  
Cervical Cancer ◽  
Immune Cells ◽  
Immune Cell ◽  
Cell Activity ◽  
Comprehensive Analysis ◽  
Prognostic Biomarkers ◽  
Quantitative Real Time Pcr ◽  
Cell Transport ◽  
Selection Of

Abstract Background: It is well known that the tumor microenvironment (TME) has been received an increasing number of attention. CXC chemokines could regulate immune cell transport and tumor cell activity, thus exerting anti-tumor immunity. However, studies on the expression and prognosis of CXC chemokines in cervical cancer (CC) are more limited. Methods: The study investigated the role of CXC chemokines in the TME and prognosis of CC using public databases. Moreover, quantitative real-time PCR (Q-PCR) and immunohistochemistry (IHC) of CXC chemokines were performed to further verify. Results: The transcriptional levels of CXCL1/3/5/6/8/9/10/11/13/14/16/17 in CC tissues were significantly elevated while the transcriptional levels of CXCL2/4/7/12 were significantly reduced. We reached a consistent conclusion that the expression of CXCL9/10/11/13 was verified by Q-PCR and IHC. Moreover, CC patients with low transcriptional levels of CXCL1/2/3/4/5/8 were signifi-cantly associated with longer overall survival (OS). Our data suggest that RELA, NFKB1, and SP1 are key transcription factors for CXC chemokines, and the LCK, LYN and PAK are CXC chemokine kinases targets. We found significant correlations among the expression of CXC chemokines and the infiltration of six types of immune cells. Conclusions: We performed a comprehensive analysis of CXC chemokines via clinical data and some online tumor database. Our results may provide new idea for the selection of immunotherapeutic targets and prognostic biomarkers for cervical cancer.

scholarly journals Analysis of therapeutic targets and prognostic biomarkers of CXC chemokines in cervical cancer microenvironment

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Weina Kong ◽  
Gang Zhao ◽  
Haixia Chen ◽  
Weina Wang ◽  
Xiaoqian Shang ◽  
...  
Keyword(s):  
Cervical Cancer ◽  
T Cell ◽  
Real Time ◽  
Real Time Pcr ◽  
Immune Cell ◽  
Cell Activity ◽  
Prognostic Biomarkers ◽  
Quantitative Real Time Pcr ◽  
Selection Of

Abstract Background The tumor microenvironment (TME) has received an increasing amount of attention. CXC chemokines can regulate immune cell transport and tumor cell activity to exert anti-tumor immunity. However, studies on the expression and prognosis of CXC chemokines in cervical cancer (CC) are more limited. Methods The study investigated the role of CXC chemokines in TME of CC by using public databases. Moreover, quantitative real-time PCR (qRT-PCR) and immunohistochemistry (IHC) of CXC chemokines were performed to further verify. Results The transcriptional levels of CXCL1/3/5/6/8/9/10/11/13/16/17 in CC tissues were significantly elevated while the transcriptional levels of CXCL12/14 were significantly reduced. We reached a consistent conclusion that the expression of CXCL9/10/11/13 was verified by quantitative real-time PCR and immunohistochemistry. Moreover, CC patients with low transcriptional levels of CXCL1/2/3/4/5/8 were significantly associated with longer overall survival (OS). The CCL family was related to CXC chemokines neighboring alteration. RELA, NFKB1, LCK and PAK2 were the key transcription factors and kinase targets of CXC chemokines, respectively. We also found there were significant correlations between the expression of CXCL9/10/11 and the infiltration of immune cells (CD8+ T cell, CD4+ T cell, neutrophils and dendritic cells). Conclusions In brief, we conducted a comprehensive analysis of CXC chemokines via clinical data and some online public databases. Our results may provide a new idea for the selection of immunotherapeutic targets and prognostic biomarkers for cervical cancer.

The role of SLAM family receptors in immune cell signalingThis paper is one of a selection of papers published in this Special Issue, entitled CSBMCB — Membrane Proteins in Health and Disease.

2006 ◽  
Vol 84 (6) ◽  
pp. 832-843 ◽  
Author(s):  
Elena A. Ostrakhovitch ◽  
Shawn S.-C. Li
Keyword(s):  
Immune Cells ◽  
Immune Cell ◽  
Current Knowledge ◽  
Critical Role ◽  
Cell Types ◽  
Health And Disease ◽  
Slam Family ◽  
Different Cell Types ◽  
Selection Of

The signaling lymphocyte-activating molecule (SLAM) family immunoreceptors are expressed in a wide array of immune cells, including both T and B lymphocytes. By virtue of their ability to transduce tyrosine phosphorylation signals through the so-called ITSM (immunoreceptor tyrosine-based switch motif) sequences, they play an important part in regulating both innate and adaptive immune responses. The critical role of the SLAM immunoreceptors in mediating normal immune reactions was highlighted in recent findings that SAP, a SLAM-associated protein, modulates the activities of various immune cells through interactions with different members of the SLAM family expressed in these cells. Importantly, mutations or deletions of the sap gene in humans result in the X-linked lymphoproliferative syndrome. In this review, we summarize current knowledge and survey the latest developments in signal transduction events triggered by the activation of SLAM family receptors in different cell types.

scholarly journals Characterization of the Role of Regulatory T Cells (Tregs) in Inducing Progression of Multiple Myeloma

Blood ◽  
2015 ◽  
Vol 126 (23) ◽  
pp. 502-502 ◽  
Author(s):  
Yawara Kawano ◽  
Michele Moschetta ◽  
Katsutoshi Kokubun ◽  
Pavlo Lukyanchykov ◽  
Esilida Sula Karreci ◽  
...  
Keyword(s):  
T Cells ◽  
T Cell ◽  
Rna Sequencing ◽  
Mouse Models ◽  
Immune Cells ◽  
Immune Cell ◽  
Cell Activity ◽  
Treg Depletion

Abstract Introduction. Growing evidence suggests that immune cells that reside within the tumor microenvironment are dysregulated and functionally impaired, leading to defective anti-tumor immunity of the host. One of the major immunosuppressive mechanisms during tumor progression is expansion of regulatory immune cells. Here, we analyzed the immune cells within the bone marrow (BM) and the peripheral blood (PB) of 2 immunocompetent multiple myeloma (MM) mouse models. We next studied the role of regulatory T cells (Tregs) in MM pathogenesis. Materials and methods. To study the immune cell populations of the BM and PB, we used two immuncompetent mouse models and transplanted VK*MYC cells or 5TGM1 cells into C57BL/6 and C57BL/Kalwrij mice respectively. The immune cell populations and checkpoint receptor expressions were analyzed by CyTOF mass cytometer or flow-cytometry. Treg induction assay was performed in vitro to study the mechanism of Treg increase in the BM of myeloma injected mice. CD4+ CD25- cells were obtained from C57BL/Kalwrij mice and were co-cultured with 5TGM1 cells or B cells from C57BL/Kalwrij mice in vitro. Treg induction was compared by flow-cytometry. Transplantable VK*MYC cells were injected into "depletion of regulatory T cell" (DEREG) mice, which expresses a simian diphtheria toxin (DT) receptor-enhanced GFP fusion protein under the control of the FOXP3 gene locus, or their wild type littermates. DT injection into these mice leads to depletion of Tregs as previously described (J Exp Med. 2007; 204: 57-63). DT was given once every week for a total 3 times i.p to the DEREG mice or the littermate controls to specifically deplete Tregs and to study the role of Tregs during MM progression. Tregs (CD4+ FOXP3-GFP+ cells) were sorted from VK*MYC injected mice or non-injected DEREG mice BM using FACSAria cell sorter. Cells isolated were subjected to RNA sequencing. Gene Set Enrichment Analysis (GSEA) was performed to define differences in molecular signatures between MM-associated and normal Tregs. Results. The Treg proportion was significantly increased within the CD4+ T cells in the BM of myeloma cell injected mice from the early stage of disease compared to control mice, while in the PB, the increase was observed only at the late stages of disease progression. The effector T cell (Teff)/Treg ratio was significantly decreased in the BM at the end-stage myeloma bearing mice (P<0.01). Checkpoint related molecules (PD-1, LAG-3 and Tim-3) on Tregs and Teffs were up-regulated at the protein level in the BM of myeloma injected mice compared to control (P<0.01). These data indicate the activation of Tregs and decrease of Teff activity, leading to suppression of anti-myeloma T cell activity in the MM BM. Under in vitro co-culture conditions, 5TGM1 cells induced a significant increase in the number of Tregs from non-Treg CD4+ T cells compared to controls (P<0.01). 5TGM1 cell-induced Tregs presented with enhanced ki-67 expression, thus suggesting the ability of MM cells to induce Treg proliferation. Additionally, the trans-well co-culture experiment showed that the major mechanism for Treg induction by 5TGM1 was by direct contact with T cells rather than secreting factors. Significant increase in survival was observed in the VK*MYC injected DEREG mice under Treg depletion compared to the DEREG mice without Treg depletion and wild type littermates under DT treatment (P<0.001). The Treg depleted DEREG mice were accompanied with an increase of Teffs (P<0.01), indicating recovery of anti-myeloma T cell activity. RNA sequencing of BM Tregs from VK*MYC injected mice showed increased expression of immune checkpoint related molecules and increased Treg effector molecules (IL-10, Granzyme B) compared to BM Tregs from control mice, indicating a more functionally active phenotype of VK*MYC associated Tregs. GSEA showed an enrichment of genes involved in type-1 interferon signaling in VK*MYC associated Tregs. Conclusions. We used 2 immunocompetent MM mouse models to study the characterization and significance of Tregs in MM progression. CyTOF analysis and RNA sequencing data indicated Treg activation in the MM BM microenvironment. The Treg in vivo depletion experiment showed that Tregs have a significant role in MM progression. These data indicate that immunotherapy targeting Tregs may represent a novel therapeutic strategy for MM. Studies are ongoing to understand the roles of Tregs in human MM patients. Disclosures No relevant conflicts of interest to declare.

scholarly journals Role of Kupffer Cells in Systemic Anti-Microbial Defense

2021 ◽  
Author(s):  
Hiroyuki Nakashima ◽  
Masahiro Nakashima ◽  
Manabu Kinoshita ◽  
Shuhji Seki
Keyword(s):  
Kupffer Cells ◽  
Immune Cells ◽  
Defense Mechanisms ◽  
Immune Cell ◽  
Cell Activity ◽  
Systemic Circulation ◽  
Portal Blood ◽  
Continuous Contact ◽  
Microbial Defense

The liver has long been recognized as important in digestion. However, the liver’s abundance of innate immune cells strongly suggests that it has specific defense mechanisms. A characteristic anatomical feature of the liver is its large blood flow. The blood flowing out from the whole alimentary tract is transported to the liver via the portal vein and distributed to peripheral structures called sinusoids. Kupffer cells, a typical example of resident macrophages, are located in sinusoids and are in continuous contact with various portal blood components. They have vigorous phagocytic activity and eliminate bacteria coming from the gut before they enter systemic circulation. Based on this framework, Kupffer cells were considered a filter for portal blood pathogens. However, recent evidence reveals that they exert crucial functions in systemic host defense against bacterial infection. To defend against various sources of bacterial pathogens, Kupffer cells construct an efficient surveillance system for systemic circulation, cooperating aggressively with other immune cells. They collaborate with non-immune cells such as hepatocytes and platelets to potentiate defense function. In conclusion, Kupffer cells coordinate immune cell activity to efficiently defend against infections, making them crucial players in systemic antibacterial immunity.

scholarly journals How Changes in the Nutritional Landscape Shape Gut Immunometabolism

Nutrients ◽  
2021 ◽  
Vol 13 (3) ◽  
pp. 823
Author(s):  
Jian Tan ◽  
Duan Ni ◽  
Rosilene V. Ribeiro ◽  
Gabriela V. Pinget ◽  
Laurence Macia
Keyword(s):  
Immune Cells ◽  
Metabolic Pathways ◽  
Immune Cell ◽  
Food Additives ◽  
Cell Activity ◽  
Inflammatory Cells ◽  
Therapeutic Approaches ◽  
Food Antigens ◽  
And Function ◽  
Micro Organisms

Cell survival, proliferation and function are energy-demanding processes, fuelled by different metabolic pathways. Immune cells like any other cells will adapt their energy production to their function with specific metabolic pathways characteristic of resting, inflammatory or anti-inflammatory cells. This concept of immunometabolism is revolutionising the field of immunology, opening the gates for novel therapeutic approaches aimed at altering immune responses through immune metabolic manipulations. The first part of this review will give an extensive overview on the metabolic pathways used by immune cells. Diet is a major source of energy, providing substrates to fuel these different metabolic pathways. Protein, lipid and carbohydrate composition as well as food additives can thus shape the immune response particularly in the gut, the first immune point of contact with food antigens and gastrointestinal tract pathogens. How diet composition might affect gut immunometabolism and its impact on diseases will also be discussed. Finally, the food ingested by the host is also a source of energy for the micro-organisms inhabiting the gut lumen particularly in the colon. The by-products released through the processing of specific nutrients by gut bacteria also influence immune cell activity and differentiation. How bacterial metabolites influence gut immunometabolism will be covered in the third part of this review. This notion of immunometabolism and immune function is recent and a deeper understanding of how lifestyle might influence gut immunometabolism is key to prevent or treat diseases.

scholarly journals Tuning cancer fate: the unremitting role of host immunity

Open Biology ◽  
2017 ◽  
Vol 7 (4) ◽  
pp. 170006 ◽  
Author(s):  
B. Calì ◽  
B. Molon ◽  
A. Viola
Keyword(s):  
Immune Cells ◽  
Immune Cell ◽  
Tumour Progression ◽  
Host Immunity ◽  
Adaptive Immune ◽  
Adaptive Immune Cells ◽  
Immune Mediated ◽  
Immune Cell Subsets ◽  
Therapeutic Protocols

Host immunity plays a central and complex role in dictating tumour progression. Solid tumours are commonly infiltrated by a large number of immune cells that dynamically interact with the surrounding microenvironment. At first, innate and adaptive immune cells successfully cooperate to eradicate microcolonies of transformed cells. Concomitantly, surviving tumour clones start to proliferate and harness immune responses by specifically hijacking anti-tumour effector mechanisms and fostering the accumulation of immunosuppressive immune cell subsets at the tumour site. This pliable interplay between immune and malignant cells is a relentless process that has been concisely organized in three different phases: elimination, equilibrium and escape. In this review, we aim to depict the distinct immune cell subsets and immune-mediated responses characterizing the tumour landscape throughout the three interconnected phases. Importantly, the identification of key immune players and molecules involved in the dynamic crosstalk between tumour and immune system has been crucial for the introduction of reliable prognostic factors and effective therapeutic protocols against cancers.

scholarly journals Immune cell-specific Cre reporter mouse labels a subset of CNS neurons

2019 ◽  
Author(s):  
Aurélie Bouteau ◽  
Botond Z. Igyártó
Keyword(s):  
Immune Cells ◽  
Langerhans Cells ◽  
Immune Cell ◽  
Neuronal Marker ◽  
Reporter Mouse ◽  
Cns Neurons ◽  
The Central Nervous System ◽  
Antigen Presenting

AbstractHuLangerin-Cre-YFPf/f mice were generated to specifically mark a subset of antigen presenting immune cells, called Langerhans cells (LCs). During histological characterization of these mice, we found that, in addition to LCs an uncharacterized cell population in the central nervous system (CNS) also expressed YFP. In this study, we found that the CNS YFP+ cells were negative for microglia and astrocyte markers, but they expressed mature neuronal marker NeuN and showed neuronal localization/morphology. Thus, these mice might be used to study the ontogeny, migration and the role of a subset of CNS neurons.

scholarly journals Succinate Is an Inflammation-Induced Immunoregulatory Metabolite in Macrophages

Metabolites ◽  
2020 ◽  
Vol 10 (9) ◽  
pp. 372 ◽  
Author(s):  
Karl J. Harber ◽  
Kyra E. de Goede ◽  
Sanne G. S. Verberk ◽  
Elisa Meinster ◽  
Helga E. de Vries ◽  
...  
Keyword(s):  
Immune Responses ◽  
Immune Cells ◽  
Immune Cell ◽  
Inflammatory Responses ◽  
Inflammatory Diseases ◽  
Cell Phenotype ◽  
Independent Manner ◽  
Inflammatory Macrophages ◽  
Necrosis Factor

Immunometabolism revealed the crucial role of cellular metabolism in controlling immune cell phenotype and functions. Macrophages, key immune cells that support progression of numerous inflammatory diseases, have been well described as undergoing vast metabolic rewiring upon activation. The immunometabolite succinate particularly gained a lot of attention and emerged as a crucial regulator of macrophage responses and inflammation. Succinate was originally described as a metabolite that supports inflammation via distinct routes. Recently, studies have indicated that succinate and its receptor SUCNR1 can suppress immune responses as well. These apparent contradictory effects might be due to specific experimental settings and particularly the use of distinct succinate forms. We therefore compared the phenotypic and functional effects of distinct succinate forms and receptor mouse models that were previously used for studying succinate immunomodulation. Here, we show that succinate can suppress secretion of inflammatory mediators IL-6, tumor necrosis factor (TNF) and nitric oxide (NO), as well as inhibit Il1b mRNA expression of inflammatory macrophages in a SUCNR1-independent manner. We also observed that macrophage SUCNR1 deficiency led to an enhanced inflammatory response without addition of exogenous succinate. While our study does not reveal new mechanistic insights into how succinate elicits different inflammatory responses, it does indicate that the inflammatory effects of succinate and its receptor SUCNR1 in macrophages are clearly context dependent.

scholarly journals GJA1 Expression and Its Prognostic Value in Cervical Cancer

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Silu Meng ◽  
Xinran Fan ◽  
Jianwei Zhang ◽  
Ran An ◽  
Shuang Li
Keyword(s):  
Gene Expression ◽  
Cervical Cancer ◽  
Logistic Regression ◽  
Gap Junction ◽  
Signaling Pathway ◽  
Immune Cells ◽  
Immune Cell ◽  
Normal Tissues ◽  
Kaplan Meier ◽  
Chi Squared

Gap Junction Protein Alpha 1 (GJA1) belongs to the gap junction family and has been widely studied in cancers. We evaluated the role of GJA1 in cervical cancer (CC) using public data from The Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) database. The difference of GJA1 expression level between CC and normal tissues was analyzed by the Gene Expression Profiling Interactive Analysis (GEPIA), six GEO datasets, and the Human Protein Atlas (HPA). The relationship between clinicopathological features and GJA1 expression was analyzed by the chi-squared test and the logistic regression. Kaplan–Meier survival analysis and Cox proportional hazard regression analysis were used to assessing the effect of GJA1 expression on survival. Gene set enrichment analysis (GSEA) was used to screen the signaling pathways regulated by GJA1. Immune Cell Abundance Identifier (ImmuCellAI) was chosen to analyze the immune cells affected by GJA1. The expression of GJA1 in CC was significantly lower than that in normal tissues based on the GEPIA, GEO datasets, and HPA. Both the chi-squared test and the logistic regression showed that high-GJA1 expression was significantly correlated with keratinization, hormone use, tumor size, and FIGO stage. The Kaplan–Meier curves suggested that high-GJA1 expression could indicate poor prognosis ( p = 0.0058 ). Multivariate analysis showed that high-GJA1 expression was an independent predictor of poor overall survival (HR, 4.084; 95% CI, 1.354-12.320; p = 0.013 ). GSEA showed many cancer-related pathways, such as the p53 signaling pathway and the Wnt signaling pathway, were enriched in the high-GJA1-expression group. Immune cell abundance analysis revealed that the abundance of CD8 naive, DC, and neutrophil was significantly increased in the high-GJA1-expression group. In conclusion, GJA1 can be regarded as a potential prognostic marker of poor survival and therapeutic target in CC. Moreover, many cancer-related pathways may be the critical pathways regulated by GJA1. Furthermore, GJA1 can affect the abundance of immune cells.

Sign in / Sign up

Export Citation Format

Share Document