scholarly journals Identification of dendritic cells, B cell and T cell subsets in Tasmanian devil lymphoid tissue; evidence for poor immune cell infiltration into devil facial tumors

2014 ◽  
Vol 297 (5) ◽  
pp. 925-938 ◽  
Author(s):  
Lauren J. Howson ◽  
Katrina M. Morris ◽  
Takumi Kobayashi ◽  
Cesar Tovar ◽  
Alexandre Kreiss ◽  
...  
Keyword(s):  
Dendritic Cells ◽  
T Cell ◽  
B Cell ◽  
Lymphoid Tissue ◽  
Immune Cell ◽  
T Cell Subsets ◽  
Cell Infiltration ◽  
Immune Cell Infiltration ◽  
Tasmanian Devil

scholarly journals Enhanced CD4+ and CD8+ T cell infiltrate within convex hull defined pancreatic islet borders as autoimmune diabetes progresses

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Alexander J. Dwyer ◽  
Jacob M. Ritz ◽  
Jason S. Mitchell ◽  
Tijana Martinov ◽  
Mohannad Alkhatib ◽  
...  
Keyword(s):  
T Cells ◽  
T Cell ◽  
Convex Hull ◽  
Pancreatic Islets ◽  
Immune Cell ◽  
Nod Mice ◽  
Cell Infiltration ◽  
Immune Cell Infiltration ◽  
Analytical Strategy ◽  
Islet Mass

AbstractThe notion that T cell insulitis increases as type 1 diabetes (T1D) develops is unsurprising, however, the quantitative analysis of CD4+ and CD8+ T cells within the islet mass is complex and limited with standard approaches. Optical microscopy is an important and widely used method to evaluate immune cell infiltration into pancreatic islets of Langerhans for the study of disease progression or therapeutic efficacy in murine T1D. However, the accuracy of this approach is often limited by subjective and potentially biased qualitative assessment of immune cell subsets. In addition, attempts at quantitative measurements require significant time for manual analysis and often involve sophisticated and expensive imaging software. In this study, we developed and illustrate here a streamlined analytical strategy for the rapid, automated and unbiased investigation of islet area and immune cell infiltration within (insulitis) and around (peri-insulitis) pancreatic islets. To this end, we demonstrate swift and accurate detection of islet borders by modeling cross-sectional islet areas with convex polygons (convex hulls) surrounding islet-associated insulin-producing β cell and glucagon-producing α cell fluorescent signals. To accomplish this, we used a macro produced with the freeware software ImageJ equipped with the Fiji Is Just ImageJ (FIJI) image processing package. Our image analysis procedure allows for direct quantification and statistical determination of islet area and infiltration in a reproducible manner, with location-specific data that more accurately reflect islet areas as insulitis proceeds throughout T1D. Using this approach, we quantified the islet area infiltrated with CD4+ and CD8+ T cells allowing statistical comparison between different age groups of non-obese diabetic (NOD) mice progressing towards T1D. We found significantly more CD4+ and CD8+ T cells infiltrating the convex hull-defined islet mass of 13-week-old non-diabetic and 17-week-old diabetic NOD mice compared to 4-week-old NOD mice. We also determined a significant and measurable loss of islet mass in mice that developed T1D. This approach will be helpful for the location-dependent quantitative calculation of islet mass and cellular infiltration during T1D pathogenesis and can be combined with other markers of inflammation or activation in future studies.

Tumor-derived GDF-15 to suppress t-lymphocyte recruitment to the tumor microenvironment resulting in resistance to ANTI-PD-1 treatment.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e14532-e14532
Author(s):  
Joerg Wischhusen ◽  
Markus Haake ◽  
Neha Vashist ◽  
Sabrina Genßler ◽  
Kilian Wistuba-Hamprecht ◽  
...  
Keyword(s):  
T Cells ◽  
T Cell ◽  
Immune Cell ◽  
Serum Levels ◽  
Cell Infiltration ◽  
Immune Cell Infiltration ◽  
T Cell Infiltration ◽  
Melanoma Patients

e14532 Background: Growth and differentiation factor 15 (GDF-15) is a divergent member of the TGF-β superfamily with low to absent expression in healthy tissue. GDF-15 has been linked to feto-maternal immune tolerance, to prevention of excessive immune cell infiltration during tissue damage, and to anorexia. Various major tumor types secrete high levels of GDF-15. In cancer patients, elevated GDF-15 serum levels correlate with poor prognosis and reduced overall survival (OS). Methods: Impact of a proprietary GDF-15 neutralizing antibody (CTL-002) regarding T cell trafficking was analyzed by whole blood adhesion assays, a HV18-MK melanoma-bearing humanized mouse model and a GDF-15-transgenic MC38 model. Additionally, patient GDF-15 serum levels were correlated with clinical response and overall survival in oropharyngeal squamous cell carcinoma (OPSCC) and melanoma brain metastases. Results: In whole blood cell adhesion assays GDF-15 impairs adhesion of T and NK cells to activated endothelial cells. Neutralization of GDF-15 by CTL-002 rescued T cell adhesion. In HV18-MK-bearing humanized mice CTL-002 induced a strong increase in TIL numbers. Subset analysis revealed an overproportional enrichment of T cells, in particular CD8+ T cells. As immune cell exclusion is detrimental for checkpoint inhibitor (CPI) therapy, a GDF-15-transgenic MC38 model was tested for anti-PD-1 therapy efficacy. In GDF-15 overexpressing MC38 tumors response to anti PD-1 therapy was reduced by 90% compared to wtMC38 tumors. Combining aPD-1 with CTL-002 resulted in 50% of the mice rejecting their GDF-15 overexpressing tumors. Clinically, inverse correlations of GDF-15 levels with CD8+ T cell infiltration were shown for HPV+ OPSCC and for melanoma brain metastases. GDF-15 serum levels were significantly higher in HPV- than in HPV+ OPSCC patient (p < 0.0001). Low GDF-15 levels corresponded to longer OS in both HPV- and HPV+ OPSCC. In two independent melanoma patient cohorts treated with nivolumab or pembrolizumab low baseline serum GDF-15 levels were predictive for clinical response to anti-PD1 treatment and superior OS. Bivariate analysis including LDH indicates that GDF-15 independently predicts poor survival in aPD-1 treated melanoma patients. Conclusions: Taken together our in vitro and in vivo data show that elevated GDF-15 levels block T-cell infiltration into tumor tissues. Neutralizing GDF-15 with CTL-002 restores the ability of T cells to extravasate blood vessels and enter tumor tissue both in vitro and in vivo. In melanoma, patients with higher GDF-15 levels have significantly shorter survival and are less likely to respond to anti-PD1 therapy. GDF-15 may thus serve as a new predictive biomarker for anti-PD1 response, but most importantly also represents a novel target for cancer immunotherapy to improve tumor immune cell infiltration and response to anti-PD1 therapy.

scholarly journals Down-Regulated CLDN10 Predicts Favorable Prognosis and Correlates With Immune Infiltration in Gastric Cancer

2021 ◽  
Vol 12 ◽  
Author(s):  
XiongHui Rao ◽  
JianLong Jiang ◽  
ZhiHao Liang ◽  
JianBao Zhang ◽  
ZheHong Zhuang ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
T Cell ◽  
Immune Cell ◽  
Gene Set Enrichment Analysis ◽  
Cell Infiltration ◽  
Her2 Status ◽  
Immune Cell Infiltration ◽  
Cell Markers ◽  
Immune Infiltration

Background: CLDN10, an important component of the tight junctions of epithelial cells, plays a crucial role in a variety of tumors. The effect of CLDN10 expression in gastric cancer, however, has yet to be elucidated.Methods: Differential expression of CLDN10 at the mRNA and protein levels was evaluated using Oncomine, ULCAN, HPA and TIMER2.0 databases. Real-time polymerase chain reaction (RT-PCR) was utilized to further verify the expression of CLDN10 in vitro. Correlations between CLDN10 expression and clinical outcomes of gastric cancer were explored by Kaplan-Meier Plotter. Gene set enrichment analysis (GSEA) and protein-protein interaction (PPI) were performed via LinkedOmics and GeneMANIA. The correlations between CLDN10 expression and immune cell infiltration and somatic copy number alternations (SCNA) in gastric cancer were explored by TIMER2.0 and GEPIA2.0.Results: CLDN10 expression was lower in gastric cancer compared to adjacent normal tissues, and associated with better prognosis. CLDN10 also showed significant differences at different T stages, Lauren classification, treatments and HER2 status. PPI and GSEA analysis showed that CLDN10 might be involved in signal transmission, transmembrane transport and metabolism. In some major immune cells, low expression of CLDN10 was associated with increased levels of immune cell infiltration. In addition, it was found that different SCNA status in CLDN10 might affect the level of immune cell infiltration. Furthermore, the expression of CLDN10 was significantly associated with the expression of several immune cell markers, especially B cell markers, follicular helper T cell (Tfh) markers and T cell exhaustion markers.Conclusion: Down-regulated CLDN10 was associated with better overall survival (OS) in gastric cancer. And CLDN10 may serve as a potential prognostic biomarker and correlate to immune infiltration levels in gastric cancer.

scholarly journals 918 Doxycycline regulatable ß-catenin demonstrates inducible immune evasion in a melanoma GEM model

2021 ◽  
Vol 9 (Suppl 3) ◽  
pp. A963-A963
Author(s):  
Alexandra Cabanov ◽  
Stefani Spranger ◽  
Thomas Gajewski ◽  
Alexandra Cabanov ◽  
Elen Torres-Mejia
Keyword(s):  
T Cells ◽  
Drinking Water ◽  
T Cell ◽  
Immune Cell ◽  
Active Form ◽  
Genetically Engineered ◽  
Checkpoint Blockade ◽  
Cell Infiltration ◽  
Immune Cell Infiltration ◽  
Rapid Reduction

BackgroundLack of response to checkpoint blockade immunotherapy has been linked to a deficiency of immune cell infiltration within the tumor microenvironment (TME). One demonstrated mechanism sufficient for the non-T cell inflamed TME is tumor cell-intrinsic activation of the β-catenin signaling pathway. Using genetically engineered mouse models (GEMMs), tumors constitutively expressing active β-catenin lack a robust endogenous T cell infiltrate and fail to respond to immunotherapies. In support of these mouse studies, human melanoma metastases with increased active β-catenin signaling exhibit decreased numbers of tumor infiltrating Batf3-driven cDC1 and CD3+ T cells. However, whether temporal activation and inactivation of β-catenin within the same developing tumor would alter immune cell infiltration is not known.MethodsA model was created in which tamoxifen-regulated Cre-recombinase mediates BRAFV600E oncogene activation and PTEN tumor suppressor gene deletion as well as expression of a doxycycline regulatable reverse transactivator. Upon administration of doxycycline via the drinking water to these animals, a non-degradable form of nuclear β-catenin becomes expressed. Immunofluorescence assays were performed assessing the β-catenin expression status in the tumor cells as well as immune cell infiltration within the TME. Additionally, immunotherapy efficacy experiments were performed.ResultsWe observed that administration of doxycycline to these animals drove expression of an active form of nuclear β-catenin. Activation of nuclear β-catenin resulted in a 2-fold decrease in the overall CD3+ T cells infiltration into the TME. Moreover, this decrease in immune infiltration also resulted in loss of anti-PD-L1 + anti-CTLA-4 therapy efficacy. We next performed studies assessing the kinetics with which β-catenin levels diminish upon doxycycline removal. Switching animals to regular drinking water resulted in rapid reduction of nuclear β-catenin levels, including 50 percent reduction after two days of doxycycline removal and almost complete reduction of nuclear β-catenin after four days.ConclusionsWe describe a novel mouse model in which we induce autochthonous melanoma tumors in mice along with inducible expression of a non-degradable, nuclear β-catenin modulated by doxycycline in the drinking water. Activation of β-catenin signaling in melanoma tumors resulted in reduction of immune cells in the TME as well as loss of checkpoint blockade immunotherapy efficacy. This activation can be rapidly reversed by removing doxycycline, allowing for future studies evaluating the consequences of turning off β-catenin once it has already driven a non-T cell-inflamed TME.AcknowledgementsThis work was supported by the Wissler Fellowship from the University of Chicago (SS) K99/R00 (NCI; SS), and R35CA210098 (TG).

scholarly journals lncRNA PCAT14 Is a Diagnostic Marker for Prostate Cancer and Is Associated with Immune Cell Infiltration

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Yunkun Yan ◽  
Jianjun Liu ◽  
Zhijian Xu ◽  
Mushi Ye ◽  
Jianchang Li
Keyword(s):  
Prostate Cancer ◽  
Dendritic Cells ◽  
Immune Cells ◽  
Noncoding Rna ◽  
Immune Cell ◽  
Diagnostic Marker ◽  
Cell Infiltration ◽  
Immune Cell Infiltration ◽  
Primary Therapy ◽  
The Relationship

Objective. To investigate the relationship between the long noncoding RNA (lncRNA) Prostate cancer-associated transcription factors 14 (PCAT14) and the clinical characteristics of prostate cancer and immune cell infiltration. Methods. The relationship between PCAT14 expression and the clinicopathological characteristics of prostate cancer was analyzed based on The Cancer Genome Atlas (TCGA) database. Receiver operating characteristic (ROC) curves were used to evaluate the value of PCAT14 as a diagnostic marker for prostate cancer. The relationship between PCAT14 and immune cell infiltration was analyzed to explore the effect of PCAT14 on the immune-related functions of prostate cancer. Results. The ROC curve showed that PCAT14 had a significant diagnostic ability ( area   under   curve = 0.818 ) for prostate cancer. A reduced expression of PCAT14 in prostate cancer was related to T stage, N stage, primary therapy outcome, residual tumor, Gleason score, and age. The expression of PCAT14 was independently associated with the progression-free interval in prostate cancer patients. The infiltration of immune cells in prostate cancer showed a significant negative correlation between the expression of PCAT14 and plasmacytoid dendritic cells, activated dendritic cells, regulatory T cells, and neutrophils. Conclusions. PCAT14 is highly expressed in prostate cancer and is expected to be a diagnostic marker. PCAT14 might promote the development of prostate cancer through chemokines, antimicrobials, and cytokines that affect the infiltration of immune cells.

scholarly journals Epigenetic and Immune-Cell Infiltration Changes in the Tumor Microenvironment in Hepatocellular Carcinoma

2021 ◽  
Vol 12 ◽  
Author(s):  
Zeng-Hong Wu ◽  
Dong-Liang Yang ◽  
Liang Wang ◽  
Jia Liu
Keyword(s):  
T Cell ◽  
Tumor Microenvironment ◽  
Immune Cell ◽  
Treatment Resistance ◽  
Cell Infiltration ◽  
Immune Cell Infiltration ◽  
Lasso Regression ◽  
Loss Of Function ◽  
Protein Protein Interaction ◽  
Novel Biomarkers

BackgroundEpigenetics regulate gene expression without altering the DNA sequence. Epigenetics targeted chemotherapeutic approach can be used to overcome treatment resistance and low response rate in HCC. However, a comprehensive review of genomic data was carried out to determine the role of epigenesis in the tumor microenvironment (TME), immune cell-infiltration characteristics in HCC is still insufficient.MethodsThe association between epigenetic-related genes (ERGs), inflammatory response-related genes (IRRGs) and CRISPR genes was determined by merging genomic and CRISPR data. Further, characteristics of immune-cell infiltration in the tumor microenvironment was evaluated.ResultsNine differentially expressed genes (ANP32B, ASF1A, BCORL1, BMI1, BUB1, CBX2, CBX3, CDK1, and CDK5) were shown to be independent prognostic factors based on lasso regression in the TCGA-LIHC and ICGC databases. In addition, the results showed significant differences in expression of PDCD-1 (PD-1) and CTLA4 between the high- and low-epigenetic score groups. The CTRP and PRISM-derived drug response data yielded four CTRP-derived compounds (SB-743921, GSK461364, gemcitabine, and paclitaxel) and two PRISM-derived compounds (dolastatin-10 and LY2606368). Patients with high ERGs benefited more from immune checkpoint inhibitor (ICI) therapy than patients with low ERGs. In addition, the high ERGs subgroup had a higher T cell exclusion score, while the low ERGs subgroup had a higher T cell dysfunction. However, there was no difference in microsatellite instability (MSI) score among the two subgroups. Further, genome-wide CRISPR-based loss-of function screening derived from DepMap was conducted to determine key genes leading to HCC development and progression. In total, 640 genes were identified to be essential for survival in HCC cell lines. The protein-protein interaction (PPI) network demonstrated that IRRGs PSEN1 was linked to most ERGs and CRISPR genes such as CDK1, TOP2A, CBX2 and CBX3.ConclusionEpigenetic alterations of cancer-related genes in the tumor microenvironment play a major role in carcinogenesis. This study showed that epigenetic-related novel biomarkers could be useful in predicting prognosis, clinical diagnosis, and management in HCC.

scholarly journals C3aR1 Correlates With Immune Cell Infiltration and Serves as Prognostic and Therapeutic Biomarker in Gastric Cancer

2021 ◽  
Author(s):  
weifeng liu ◽  
Zhijie Chu ◽  
Cheng Yang ◽  
Tianbao Yang ◽  
Yanhui Yang ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
T Cell ◽  
Differentially Expressed Genes ◽  
Tumor Tissue ◽  
Immune Cell ◽  
Gene Set Enrichment Analysis ◽  
Differentially Expressed ◽  
Cell Infiltration ◽  
Immune Cell Infiltration ◽  
Expression Levels

Abstract As the fourth most common malignancy worldwide, gastric cancer can lead more than 720 000 patient death every year. Precisely therapeutic intervention can significantly improve patients’ survival status underlying the precise clarification by molecular indexes. Identifying the biomarkers highly associated with disease prognosis will be helpful to guide the clinical therapy. C3ar1 is an essential receptor in the complement system, and participates in various biological processes associated with immunological responses. To identify the crucial roles of C3AR1 in gastric cancer tmorigenesis, we determined the mRNA profile, protein expression levels and the clinicopathological indexes using cBioportal, Kaplan-Meier plotter and the Human Protein Atlas databases. To identify the molecular network in C3AR1-expressed gastric cancer, we obtained the differentially expressed genes using the GEPIA database compared with normal stomach tissues. Furthermore, we analyzed the biological impact of these differentially expressed genes using protein-protein interaction network and gene set enrichment analysis, in which we identified the hub genes and critical pathways influenced by over-expressed C3AR1 in gastric cancer. Finally, we evaluated the correlation between the C3AR1 expression levels and immune cell infiltration levels utilizing the Tumor Immunoassay Resource database. Our results revealed that the higher expression level of C3AR1 can lead higher infiltration of T cell CD8+, T cell CD4+, macrophage, neutrophil, B cell and myeloid dendritic cells into tumor tissue. Moreover, we also found that higher infiltration of macrophage cells into tumor tissue can worsen the survival of patients with gastric cancer, which may be highly associated with the polarization states of macrophages (TAM and M2 status). Our investigation suggest that C3AR1 can be as an efficient diagnostic biomarkers for gastric cancer therapy.

scholarly journals The landscape of T cell infiltration in human cancer and its association with antigen presenting gene expression

2015 ◽  
Author(s):  
Yasin Senbabaoglu ◽  
Andrew G Winer ◽  
Ron S Gejman ◽  
Ming Liu ◽  
Augustin Luna ◽  
...  
Keyword(s):  
Gene Expression ◽  
T Cell ◽  
Immune Cell ◽  
T Cell Subsets ◽  
Cell Infiltration ◽  
Th2 Cells ◽  
Immune Infiltration ◽  
T Cell Infiltration ◽  
Mutation Burden ◽  
Antigen Presenting

Infiltrating T cells in the tumor microenvironment have crucial roles in the competing processes of pro-tumor and anti-tumor immune response. However, the infiltration level of distinct T cell subsets and the signals that draw them into a tumor, such as the expression of antigen presenting machinery (APM) genes, remain poorly characterized across human cancers. Here, we define a novel mRNA-based T cell infiltration score (TIS) and profile infiltration levels in 19 tumor types. We find that clear cell renal cell carcinoma (ccRCC) is the highest for TIS and among the highest for the correlation between TIS and APM expression, despite a modest mutation burden. This finding is contrary to the expectation that immune infiltration and mutation burden are linked. To further characterize the immune infiltration in ccRCC, we use RNA-seq data to computationally infer the infiltration levels of 24 immune cell types in a discovery cohort of 415 ccRCC patients and validate our findings in an independent cohort of 101 ccRCC patients. We find three clusters of tumors that are primarily separated by levels of T cell infiltration and APM gene expression. In ccRCC, the levels of Th17 cells and the ratio of CD8+ T/Treg levels are associated with improved survival whereas the levels of Th2 cells and Tregs are associated with negative clinical outcome. Our analysis illustrates the utility of computational immune cell decomposition for solid tumors, and the potential of this method to guide clinical decision-making.

scholarly journals Five Genes as Diagnostic Markers of Ischemic Stroke and Their Correlation with Immune Infiltration

2021 ◽  
Author(s):  
Meng Wang ◽  
Ruijie Zhang ◽  
Qiongfeng Guan ◽  
Yindan Yao ◽  
Liyuan Han
Keyword(s):  
T Cells ◽  
Dendritic Cells ◽  
Ischemic Stroke ◽  
Immune Cells ◽  
Immune Cell ◽  
Diagnostic Markers ◽  
Cell Infiltration ◽  
Immune Cell Infiltration ◽  
Γδt Cells ◽  
Negatively Associated

Abstract Background: This study aimed to identify potential diagnostic markers of ischemic stroke (IS) and discuss the function of immune cell infiltration during the pathological process. Methods: We used IS datasets from the Gene Expression Omnibus database. Differentially expressed genes (DEGs) were identified, and functional correlation analysis was performed. We then screened and verified the diagnostic markers of IS. We evaluated the infiltration of immune cells in infarcts using CIBERSORT and analyzed the correlation between diagnostic markers and infiltrating immune cells. Results: A total of 366 DEGs were screened in this study. Genes encoding CTSG, F13A1, PABPC1, ECHDC2, BIRC2 and infiltrating monocytes, M0 macrophages, activated dendritic cells, and neutrophils (area under the curve [AUC] = 0.945) were identified as diagnostic markers of IS. Immune cell infiltration analysis suggested that memory B cells, regulatory T cells, M0 macrophages, CD8 + T cells, γδT cells, activated natural killer cells, monocytes, activated mast cells, and neutrophils were involved in the IS process. Analysis of correlations between expressed genes and infiltrating immune cells found that CTSG was positively associated with M0 macrophages, F13A1 was positively associated with monocytes, PABPC1 was positively associated with activated dendritic cells, eosinophils were negatively associated with neutrophils, ECHDC2 was negatively associated with monocytes, and BIRC2 was positively associated with eosinophils. Conclusion: five genes and four types of immune cells were identified as diagnostic markers of IS, and immune cell infiltration may play an important role in the progression of IS.

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