scholarly journals Modified tumour antigen-encoding mRNA facilitates the analysis of naturally occurring and vaccine-induced CD4 and CD8 T cells in cancer patients

2008 ◽  
Vol 58 (3) ◽  
pp. 325-338 ◽  
Author(s):  
Ashley J. Knights ◽  
Natko Nuber ◽  
Christopher W. Thomson ◽  
Olga de la Rosa ◽  
Elke Jäger ◽  
...  
2021 ◽  
Author(s):  
Yanling Ma ◽  
WenBo Qi ◽  
BaoHong Gu ◽  
XueMei Li ◽  
ZhenYu Yin ◽  
...  

Abstract Objective: To investigate the association between ILDR1 and prognosis and immune infiltration in gastric cancer. Methods: We analyzed the RNA sequencing data of 9736 tumor tissues and 8587 normal tissues in the TCGA and GTEx databases through the GEPIA2 platform. The expression of ILDR1 in gastric cancer and normal gastric mucosa tissues with GEPIA and TIMER. Clinical subgroup analysis was made through Kaplan-Meier analysis. Analyzed the correlation between ILDR1 and VEGFA expression in gastric cancer, through the gene sequencing data of gastric cancer in TCGA. Explored the relationship between ILDR1 methylation and the prognosis of gastric cancer patients through the MethSurv database. The correlation between ILDR1 and immune cells and the correlation of copy number variation were explored through the TIMER database. Results: ILDR1-high GC patients had a lower PFS and OS. High ILDR1 expression was significantly correlated with tumor grade. There was a negative correlation between the ILDR1 expression and the abundances of CD8+ T, Macrophages and DC and etc. The methylation level of ILDR1 is associated with a good prognosis of gastric cancer. ILDR1 copy number variation was correlated with immune cells, IDLR1 arm-loss was associated with the infiltration of B cells, CD8+ T cells, CD4+ T cells, macrophages, neutrophils, and dendritic cells, and arm-duplication was associated with the infiltration of B cells, CD8+ T cells, CD4+ T cells, macrophages, neutrophils and dendritic cells. Conclusion: The increased expression of ILDR1 is associated with poor prognosis in patients with gastric cancer. ILDR1 can be used as a novel predictive biomarker to provide a new therapeutic target for gastric cancer patients.


2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Ana Anoveros-Barrera ◽  
Amritpal S. Bhullar ◽  
Cynthia Stretch ◽  
Abha R. Dunichand-Hoedl ◽  
Karen J. B. Martins ◽  
...  

Abstract Background Inflammation is a recognized contributor to muscle wasting. Research in injury and myopathy suggests that interactions between the skeletal muscle and immune cells confer a pro-inflammatory environment that influences muscle loss through several mechanisms; however, this has not been explored in the cancer setting. This study investigated the local immune environment of the muscle by identifying the phenotype of immune cell populations in the muscle and their relationship to muscle mass in cancer patients. Methods Intraoperative muscle biopsies were collected from cancer patients (n = 30, 91% gastrointestinal malignancies). Muscle mass was assessed histologically (muscle fiber cross-sectional area, CSA; μm2) and radiologically (lumbar skeletal muscle index, SMI; cm2/m2 by computed tomography, CT). T cells (CD4 and CD8) and granulocytes/phagocytes (CD11b, CD14, and CD15) were assessed by immunohistochemistry. Microarray analysis was conducted in the muscle of a second cancer patient cohort. Results T cells (CD3+), granulocytes/phagocytes (CD11b+), and CD3−CD4+ cells were identified. Muscle fiber CSA (μm2) was positively correlated (Spearman’s r = > 0.45; p = < 0.05) with the total number of T cells, CD4, and CD8 T cells and granulocytes/phagocytes. In addition, patients with the smallest SMI exhibited fewer CD8 T cells within their muscle. Consistent with this, further exploration with gene correlation analyses suggests that the presence of CD8 T cells is negatively associated (Pearson’s r = ≥ 0.5; p = <0.0001) with key genes within muscle catabolic pathways for signaling (ACVR2B), ubiquitin proteasome (FOXO4, TRIM63, FBXO32, MUL1, UBC, UBB, UBE2L3), and apoptosis/autophagy (CASP8, BECN1, ATG13, SIVA1). Conclusion The skeletal muscle immune environment of cancer patients is comprised of immune cell populations from the adaptive and innate immunity. Correlations of T cells, granulocyte/phagocytes, and CD3−CD4+ cells with muscle mass measurements indicate a positive relationship between immune cell numbers and muscle mass status in cancer patients. Further exploration with gene correlation analyses suggests that the presence of CD8 T cells is negatively correlated with components of muscle catabolism.


2013 ◽  
Vol 62 (10) ◽  
pp. 1563-1573 ◽  
Author(s):  
Anna Casati ◽  
Azam Varghaei-Nahvi ◽  
Steven Alexander Feldman ◽  
Mario Assenmacher ◽  
Steven Aaron Rosenberg ◽  
...  

2021 ◽  
Vol 10 (1) ◽  
pp. 1915560
Author(s):  
Kaifeng Jin ◽  
Yifan Cao ◽  
Yun Gu ◽  
Hanji Fang ◽  
Yuchao Fei ◽  
...  

Blood ◽  
2004 ◽  
Vol 104 (11) ◽  
pp. 1344-1344
Author(s):  
Helmut R. Salih ◽  
Petra Stieber ◽  
Andrea Peterfi ◽  
Dorothea Nagel ◽  
Lothar Kanz ◽  
...  

Abstract The human NKG2D ligands (NKG2DL) MICA and MICB have been shown to be expressed on tumors of epithelial and hematopoietic origin in vivo. Recently we reported that MICA is shed from the cell surface of tumor cells and is present in sera of tumor patients (J Immunol169:4098 (2002), Blood102:1389 (2003)). Since the strength of an anti-tumor response by NK cells and CD8 T cells is critically depending on NKG2DL expression levels, down-regulation of MICA-expression on tumor cells represents an immune escape mechanism that diminishes anti-tumor reactivity of NKG2D-bearing lymphocytes. However, no data are yet available regarding the correlation of soluble MICA (sMICA) levels with specific tumor entities, aggressiveness of the disease, and hence the potential implementation of sMICA as novel marker in differential diagnosis and prognosis of cancer. In this study, we determined sMICA levels in sera of 512 individuals including 296 patients with various cancers, 154 patients with benign disorders and 62 healthy individuals. Healthy individuals revealed significantly lower sMICA values (median<30pg/mL) than patients with benign diseases (84pg/mL; p=0.005) and cancer patients (161pg/mL; p<0.0001). In addition, sMICA levels differed significantly between cancer patients and patients with benign disorders (p<0.0001) that represent the most relevant control group for differential diagnosis. In cancer patients, while there was no association between sMICA levels and tumor size (p=0.456), cell differentiation (p=0.271), or lymph node involvement (p=0.674), sMICA correlated significantly with cancer stage and metastasis (p=0.015 and p=0.007, respectively). Our data indicate that release of MICA might play a role in late stages of tumor progression by overcoming the confining effect of NK cells and CD8 T cells. Thus, determination of sMICA levels provides valuable information for cancer staging, and sMICA in serum seems to be an indicator for systemic manifestation of malignancy rather than for local tumor extent.


1999 ◽  
Vol 22 (5) ◽  
pp. 467
Author(s):  
Carmen Scheibenbogen ◽  
Anne Letsch ◽  
Alexander Schmittel ◽  
Eckhard Thiel ◽  
Ulrich Keilholz

2015 ◽  
Vol 64 (11) ◽  
pp. 1487-1494 ◽  
Author(s):  
Alberto Sada Japp ◽  
M. Alper Kursunel ◽  
Sarah Meier ◽  
Julia N. Mälzer ◽  
Xiangdong Li ◽  
...  

JCI Insight ◽  
2019 ◽  
Vol 4 (19) ◽  
Author(s):  
Colt A. Egelston ◽  
Christian Avalos ◽  
Travis Y. Tu ◽  
Anthony Rosario ◽  
Roger Wang ◽  
...  

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