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PubMedDate not supplied

Expression of HLA-DR is reduced in tumor infiltrating immune cells (TIICs) and regional lymph nodes of non-small-cell lung carcinomas. A putative mechanism of tumor-induced immunosuppression?

BACKGROUND: Deregulation of MHC class II molecules consists of a favorable mechanism of tumor evasion from immune surveillance. Among these molecules, HLA-DR antigens are the predominant ones in cancer. In the present study we sought to investigate the ability of tumor infiltrating immune cells (TIICs) to express HLA-DR antigen in the primary tumor site and reactive regional lymph nodes (LNs) in non small cell lung cancer (NSCLC). MATERIALS AND METHODS: Material consisting of 60 NSCLCs with corresponding regional LNs was studied by immunohistochemistry for human leukocyte antigen D-region related (HLA-DR) expression. Control reactive LNs, regional to several different malignant and non-malignant disorders, were also included in the study. RESULTS: Primary tumor site investigation revealed positive HLA-DR cancer cells in 22% of cases, whereas TIICs rarely expressed HLA-DR antigens. The lack of HLA-DR expression in TIICs was gradually attenuated as the distance from the primary tumor site decreased. Regional LN investigation showed that all follicles (paracapsular and deep cortical ones) were HLA-DR-negative in 60% of the LNs; in the remaining 40%, the paracapsular follicles remained negative, while all deep cortical ones were positive. Interestingly, LNs possessing only HLA-DR-negative follicles were more proximal to the primary tumor site compared to those that had only the paracapsular follicles negative. All control reactive LNs, regional to several distinct malignant and non-malignant disorders, were found to be HLA-DR-positive. CONCLUSION: The impairment of HLA-DR expression, detected both in neoplastic and by-stander immune cells, may justify the immunosuppression observed in NSCLC. This phenomenon may be due to a putative soluble factor in the tumor environment secreted by cancer cells.

Carcinoma, Non-Small-Cell Lung↗
PubMed2003

Antioxidant-rich diet relieves hypertension and reduces renal immune infiltration in spontaneously hypertensive rats.

Previous studies have demonstrated that oxidative stress contributes to hypertension and treatments with either antioxidant or immunosuppressive/anti-inflammatory agents improve hypertension in spontaneously hypertensive rats (SHR). The present study was performed to determine if the antihypertensive effects of an antioxidant-rich diet are associated with reduction in the renal immune infiltration. Rats were divided into experimental groups (n=5 each) that were followed 7 months after birth, during which they were fed either a regular or antioxidant-enriched (test) diet as follows: SHR-R group=regular diet; SHR-T group=test diet throughout the experiment; SHR-S group=test diet for 4 months switched to regular diet thereafter; WKY group=control rats given regular diet. The SHR-T rats showed a significant reduction in systolic blood pressure (mm Hg): SHR-T=179.6+/-12.9 versus SHR-R=207.5+/-9.6 (P<0.001) and plasma hydrogen peroxide concentration (SHR-T=15+/-4 micro mol/L versus 34+/-9 in SHR-R rats). This was accompanied by significant reductions of renal tissue nitrotyrosine abundance, tubulointerstitial infiltration (cells/mm(2)) of lymphocytes (SHR-T=18+/-3 versus SHR-R=30+/-4, P<0.001), macrophages (SHR-T= 17+/-3 versus SHR-R=22+/-3), and angiotensin II-positive cells (SHR-T= 17+/-2 versus SHR-R=25+/-5, P<0.01). Results in the SHR-S group were intermediate between the SHR-R and SHR-T groups. The intensity of the infiltration of lymphocytes, macrophages, and angiotensin II-positive cells significantly correlated with systolic blood pressure. Thus, the present study demonstrates that an antioxidant-enriched diet reduces the renal interstitial inflammation and improves hypertension in SHR. These findings point to interrelation between oxidative stress and inflammatory reactivity in the pathogenesis of hypertension.

Animals↗
PubMed2004

Prediction of survival in follicular lymphoma based on molecular features of tumor-infiltrating immune cells.

BACKGROUND: Patients with follicular lymphoma may survive for periods of less than 1 year to more than 20 years after diagnosis. We used gene-expression profiles of tumor-biopsy specimens obtained at diagnosis to develop a molecular predictor of the length of survival. METHODS: Gene-expression profiling was performed on 191 biopsy specimens obtained from patients with untreated follicular lymphoma. Supervised methods were used to discover expression patterns associated with the length of survival in a training set of 95 specimens. A molecular predictor of survival was constructed from these genes and validated in an independent test set of 96 specimens. RESULTS: Individual genes that predicted the length of survival were grouped into gene-expression signatures on the basis of their expression in the training set, and two such signatures were used to construct a survival predictor. The two signatures allowed patients with specimens in the test set to be divided into four quartiles with widely disparate median lengths of survival (13.6, 11.1, 10.8, and 3.9 years), independently of clinical prognostic variables. Flow cytometry showed that these signatures reflected gene expression by nonmalignant tumor-infiltrating immune cells. CONCLUSIONS: The length of survival among patients with follicular lymphoma correlates with the molecular features of nonmalignant immune cells present in the tumor at diagnosis.

Adult↗
PubMed2026

Comprehensive analysis suggests CRIF1 is a potential target in breast cancer associated with prognosis and immune infiltration.

BACKGROUND: CRIF1 is a multifunctional factor that regulates cell biological processes such as the cell cycle, cell proliferation, and energy metabolism, and it is a new molecule that contributes to the poor prognosis of many malignancies. However, its involvement in breast cancer development is not fully known. MATERIALS AND METHODS: To investigate the relationship between CRIF1 expression, prognosis, and clinical characteristics using The Cancer Genome Atlas (TCGA-BRCA). The relationship between CRIF1 expression and the immunological microenvironment was investigated using CIBERSORT, ESTIMATE. Breast tissue and CRIF1 expression were validated by IHC. A tiny interfering plasmid was designed to transiently transfect breast cancer cell lines, and proliferation-related functional tests were carried out. The effect of sh CRIF1 on tumor formation was confirmed using a subcutaneous tumor experiment in naked mice. RESULTS: We discovered that CRIF1 was highly elevated in breast cancer tissues and associated with a poor prognosis. CRIF1 stimulates breast cancer cell proliferation, migration, and invasion. Knockdown decreased PI3K/AKT/mTOR signaling, which boosted autophagy activity. Immune infiltration research revealed that patients with high CRIF1 expression had higher CD8+ T cell expression but reduced macrophage M2 expression. CONCLUSION: Upregulation of CRIF1 in breast cancer cells enhances malignant behavior, which may be mediated by PI3K/AKT/mTOR signaling and is linked to cellular autophagy.

Humans↗
PubMed1989

An absence of human leukocyte antigen-DR and a decreased expression of beta 2-microglobulin on tumor cells of basal cell carcinoma: no influence on the peritumoral immune infiltrate.

The expression of human leukocyte antigen-DR (HLA-DR) and beta 2-microglobulin on the tumor cells and their correlation (if any) to the degree and the composition of the peritumoral mononuclear infiltrate were studied in 37 basal cell carcinomas from 32 patients with an indirect immunoperoxidase technique. In 36 of 37 basal cell carcinomas (97%) there was no expression of HLA-DR on tumor cells of basal cell carcinoma. In 13 of 37 basal cell carcinomas (35%) beta 2-microglobulin was expressed on the tumor cells. Both a diffuse cytoplasmic and a membrane staining were observed in only six of these 13 basal a diffuse cytoplasmic and a membrane staining were observed in only six of these 13 basal cell carcinomas; in the other seven basal cell carcinomas only a diffuse cytoplasmic staining was observed. In all 37 basal cell carcinomas there was membrane staining for beta 2-microglobulin in the normal epidermis. The intensity of staining in the normal epidermis was always stronger than that in the tumor nests. There was a varying degree of peritumoral immune infiltrate in all basal cell carcinomas. It comprised mainly T cells (mean percentage 57 +/- 15). In the group of patients with basal cell carcinoma with moderate to heavy infiltrate the mean percentage of T cells was 63 +/- 13, which was significantly higher than the mean percentage of T cells (46% +/- 14%) in the group of patients with basal cell carcinoma with a mild infiltrate. This difference was mainly the result of an increase in T helper cells.(ABSTRACT TRUNCATED AT 250 WORDS)

Adult↗
PubMed2025

Discovery of novel diagnostic biomarkers of hepatocellular carcinoma associated with immune infiltration.

OBJECTIVE: Diagnosis of hepatocellular carcinoma (HCC) remains challenging for clinicians. Machine learning approaches and big data analyses are viable strategies for identifying HCC diagnostic markers. MATERIALS AND METHODS: In this study, we downloaded mRNA expression profiles of HCC from the GEO database and used random forest and machine learning algorithms, such as least absolute shrinkage and selection operator, to screen for reliable diagnostic genes. Disease Ontology, Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Set Enrichment Analysis enrichment analyses were performed to explore differential gene functions and disease pathways. CIBERSORT was performed to calculate the immune cell infiltration of HCC and the correlation between diagnostic genes and immune cells. Cell experiments were performed to evaluate the function of R-spondin 3 (RSPO3) in HCC cells. Immunohistochemical staining was used to evaluate the protein expression of CD138, CD206 and iNOS. RESULTS: The results indicated that extracellular matrix protein 1 (ECM1), Niemann-Pick C1-Like 1 (NPC1L1) and RSPO3 were down-regulated in HCC compared with the normal group (p&#x2009;<&#x2009;0.05), which was validated in clinical tissue samples. Moreover, ECM1, NPC1L1 and RSPO3 had high diagnostic values (AUC > 0.75) for HCC in both training and test groups. Immuno-infiltration analysis revealed that ECM1 and RSPO3 were highly positively correlated with neutrophil and macrophage M2 levels, whereas they were negatively correlated with Tregs. RSPO3-si affected cell proliferation and apoptosis in HCC. Furthermore, RSPO3 exhibited a positive correlation with tumour progression, the proportion of plasma cells and M2 macrophages in mice, while showing a negative association with M1 macrophages. CONCLUSION: The present study identified ECM1, NPC1L1 and RSPO3 as new diagnostic biomarkers for HCC based on normal and diseased samples from HCC, meanwhile the pro-oncogenic function of RSPO3 and its regulation on immune infiltration have been confirmed.

Carcinoma, Hepatocellular↗
PubMed1996

HLA expression and tumor-infiltrating immune cells in uveal melanoma.

BACKGROUND: In uveal melanoma, both the amount of tumor-infiltrating cells and the level of expression of HLA antigens are quite variable. We hypothesized that low levels of HLA expression lead to a lack of antigen presentation, which might prevent proper immunologic recognition of the tumor. This lack of recognition might subsequently lead to low levels of tumor-infiltrating cells. METHODS: To test this hypothesis, we determined the type and number of tumor-infiltrating cells in tumor sections from 24 uveal melanomas. We applied monoclonal antibodies directed against different types of immune cells and compared the results with the expression of HLA class I and class II antigens on the tumor cells. RESULTS: Infiltrating immune cells were observed in all uveal melanomas (although in small amounts), with a predominance of T lymphocytes. Significant positive correlations were observed between the number of CD3+ cells (T lymphocytes) and monomorphic HLA class I expression, allele-specific HLA-A2 and Bw4 expression, and HLA class II expression. Furthermore, the number of CD4+ cells (T helper cells, monocytes/ macrophages) and of CD11b+ cells (monocytes/macrophages) was significantly correlated with the level of monomorphic HLA class I expression. CONCLUSION: These data support our hypothesis that low levels of HLA expression (and therefore a lack of presentation of tumor-specific antigens) may lead to a low level of tumor infiltrate.

Adult↗
PubMed2025

A machine learning model and identification of immune infiltration for chronic obstructive pulmonary disease based on disulfidptosis-related genes.

BACKGROUND: Chronic obstructive pulmonary disease (COPD) is a chronic and progressive lung disease. Disulfidptosis-related genes (DRGs) may be involved in the pathogenesis of COPD. From the perspective of predictive, preventive, and personalized medicine (PPPM), clarifying the role of disulfidptosis in the development of COPD could provide a opportunity for primary prediction, targeted prevention, and personalized treatment of the disease. METHODS: We analyzed the expression profiles of DRGs and immune cell infiltration in COPD patients by using the GSE38974 dataset. According to the DRGs, molecular clusters and related immune cell infiltration levels were explored in individuals with COPD. Next, co-expression modules and cluster-specific differentially expressed genes were identified by the Weighted Gene Co-expression Network Analysis (WGCNA). Comparing the performance of the random forest (RF), support vector machine (SVM), generalized linear model (GLM), and eXtreme Gradient Boosting (XGB), we constructed the ptimal machine learning model. RESULTS: DE-DRGs, differential immune cells and two clusters were identified. Notable difference in DRGs, immune cell populations, biological processes, and pathway behaviors were noted among the two clusters. Besides, significant differences in DRGs, immune cells, biological functions, and pathway activities were observed between the two clusters.A nomogram was created to aid in the practical application of clinical procedures. The SVM model achieved the best results in differentiating COPD patients across various clusters. Following that, we identified the top five genes as predictor genes via SVM model. These five genes related to the model were strongly linked to traits of the individuals with COPD. CONCLUSION: Our study demonstrated the relationship between disulfidptosis and COPD and established an optimal machine-learning model to evaluate the subtypes and traits of COPD. DRGs serve as a target for future predictive diagnostics, targeted prevention, and individualized therapy in COPD, facilitating the transition from reactive medical services to PPPM in the management of the disease.

Pulmonary Disease, Chronic Obstructive↗
PubMed2025

The correlation of DPM1 overexpression with immune infiltration and poor prognosis in hepatocellular carcinoma.

BACKGROUND: The DPM1 gene, crucial for glycosylation processes, has shown abnormal expression in various cancers, raising interest in its potential oncogenic role and as a biomarker in hepatocellular carcinoma (HCC). METHODS: Transcriptomic data were obtained from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. DPM1 expression levels were compared between HCC tissues and adjacent normal tissues. Clinical correlations were assessed using statistical analyses, including survival analysis and multivariate Cox regression. Immune microenvironment profiling was conducted to evaluate associations between DPM1 expression and immune cell infiltration patterns. RESULTS: Elevated DPM1 levels were associated with advanced tumor stages (P&#x2009;<&#x2009;0.001), higher pathologic T stage (P&#x2009;<&#x2009;0.001), increased histologic grade (P&#x2009;<&#x2009;0.001), tumor positivity (P&#x2009;<&#x2009;0.001), tissue inflammation (P&#x2009;<&#x2009;0.001), and elevated alpha-fetoprotein levels (AFP&#x2009;>&#x2009;400 ng/mL, P&#x2009;<&#x2009;0.05). Multivariate Cox regression analysis identified DPM1 as an independent prognostic factor for reduced overall survival (HR&#x2009;=&#x2009;1.990, 95% CI 1.390-2.848). Immunological analysis revealed that DPM1 expression was positively correlated with T helper cells (R&#x2009;=&#x2009;0.268, P&#x2009;<&#x2009;0.001) and Th2 cells (R&#x2009;=&#x2009;0.295, P&#x2009;<&#x2009;0.001), and negatively correlated with plasmacytoid dendritic cells (R=-0.291, P&#x2009;<&#x2009;0.001) and cytotoxic cells (R=-0.284, P&#x2009;<&#x2009;0.001). CONCLUSIONS: DPM1 serves as a promising prognostic biomarker in HCC, with its expression correlating with unfavorable clinical outcomes and immune landscape alterations. Future studies should further validate DPM1's impact on ferroptosis and immune evasion in HCC, and explore its potential as a therapeutic target.

DPM1↗
PubMed2026

Predicting diagnostic gene biomarkers associated with immune infiltration in patients with diabetes.

Diabetes is a global public health problem with various complications, which can lead to disability and mortality. This study identified potential diagnostic markers for diabetes and explored the immunometabolic mechanisms in the pathological process. The gene expression of 17 diabetes cases and 16 normal controls were obtained from the Gene Expression Omnibus (GEO) database. The "limma" package was employed for screening differentially expressed genes (DEGs). Gene functions and enriched pathways of DEGs were analyzed via Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses. Candidate key genes were screened using the least absolute shrinkage and selection operator (LASSO) regression model and support vector machine recursive feature elimination (SVM-RFE) analysis. The diagnostic effectiveness of identified markers was further verified via the receiver operating characteristic (ROC) curve. The compositional patterns of immune cell infiltration and signaling pathway enrichment associated with key genes were explored via single sample Gene Set Enrichment Analysis (ssGSEA) and GSEA analysis, respectively. Possible miRNAs interacting with key genes were predicted via miRcode database. B2M, FTL, SH3BGRL3, and SOD2 were recognized as diagnostic markers for diabetes based on LASSO regression and the support vector machine recursive feature elimination (SVM-RFE) feature selection algorithm. Analysis of immune cell infiltration demonstrated that the four key genes were related to B cells, neutrophils, macrophages, and CD8+ T cells. The diagnostic value of B2M, FTL, and SOD2 for diabetes was higher than that of SH3BGRL3 according to the ROC curve. Validation experiments indicated that the mRNA expression of B2M and FTL was increased in liver tissues of diabetic mice. B2M and FTL can act as diagnostic markers for diabetes and contribute to new understandings of the disease's molecular mechanisms.

Humans↗
PubMed2005

Topical cyclosporine A inhibits subepithelial immune infiltrates but also promotes viral shedding in experimental adenovirus models.

PURPOSE: To determine the effects of topical cyclosporine A (CsA), an immunomodulating T-cell inhibitor, on the formation of subepithelial immune corneal infiltrates (SEIs) and acute adenovirus replication in the NZW Rabbit Ad5 SEI and Ad5 replication models. METHODS: In the Ad5 SEI model, eyes were treated topically with either 2% CsA in corn oil, 0.5% CsA in artificial tears, or their respective control vehicles 4 times daily for 14 days and then twice daily for 4 days. SEIs were graded on day 23 by masked slit-lamp examination. Using the same treatment protocol in the Ad5 replication model, rabbit eyes were cultured on days 0, 1, 3, 4, 5, 7, 9, 11, 14, 16, 18, and 21 postinoculation, and their tear film viral titers were determined on A549 cells. RESULTS: The formation of SEIs was significantly reduced following treatment with either 2.0% or 0.5% CsA. However, 2% and 0.5% CsA significantly increased viral titers on several days, prolonged the duration of Ad5 shedding, and increased the number of Ad5-positive cultures per total during the late phase of infection (days 7-21) compared with their respective controls. The 0.5% CsA was equipotent to 2% CsA for most outcome parameters tested. CONCLUSIONS: A role for topical CsA in the treatment of adenovirus ocular infections remains to be defined in large, randomized controlled clinical trials. During acute infection, reducing SEI formation is highly desirable, but enhancing viral replication may inadvertently serve to promote local epidemics. Future trials should address the important issues of optimized formulation and dose regimen and the possibility of prolonging virus shedding.

Adenovirus Infections, Human↗
PubMed2026

Machine learning-based integration develops a novel lysosome-related prognostic signature associated with prognosis and immune infiltration landscape in acute myeloid leukemia.

BACKGROUND: Lysosomes are essential for intracellular degradation and recycling, and changes in their function significantly contribute to tumor growth. Nonetheless, the exact role of lysosome-related genes (LRGs) in the pathogenesis of acute myeloid leukemia (AML) is still inadequately comprehended. METHODS: Differentially expressed LRGs (DE-LRGs) between AML and control groups were identified using AML-related data extracted from the Gene Expression Omnibus (GEO). The LRGs-related prognostic genes were identified and the risk model was established using univariate COX regression analysis and machine learning algorithms, based on the data obtained from The Cancer Genome Atlas (TCGA). Subsequently, we performed comprehensive analyses regarding clinical features, functional pathways, immune microenvironment, and chemotherapeutic drugs sensitivity between the high- and low-risk groups. Reverse transcription Quantitative polymerase chain reaction (RT-qPCR) and western blot were adopted to validate the expression of prognostic genes in human bone marrow-derived cell line HS-27&#xa0;A and human AML cell line MOLM-13. RESULTS: Through comprehensive analysis, a risk model was developed utilizing ten LRGs (ATP6V0E2, CALCRL, TMEM165, GZMB, HCK, TCIRG1, CD1D, GPRASP1, ABCA1, and NAGA), and this model was further validated using GEO datasets. Significant differences in clinical characteristics, functional pathways, immune microenvironment characteristics, and chemotherapeutic drug sensitivity were observed between the two risk groups In vitro validation experiment illustrated that the expression trends of ATP6V0E2, TMEM165, and ABCA1 were consistent with our bioinformatics analysis. CONCLUSION: Our study demonstrates that lysosome-associated signature might forecast the prognosis of AML patients and offer guidance for subsequent immunotherapy and chemotherapy strategies.

Acute myeloid leukemia↗
PubMed2003

Infiltrating immune cells, but not tumour cells, express FasL in non-small cell lung cancer: No association with prognosis identified in 3-year follow-up.

Non-small cell lung cancer (NSCLC) remains a difficult disease to treat and independent prognostic markers other than tumour stage and histology have not emerged. The immune cell content of solid tumours has been associated with tumour regression and at times, tumour progression. The involvement of immune cells in prognosis of NSCLC is poorly described. Poor immune responses within solid tumours have been linked with tumour production of immunosuppressive cytokines. Tumour expression of FasL is thought to disarm responses through the transduction of a death signal in Fas-expressing T cells. The existence of the 'tumour counterattack' in vivo has been questioned. We undertook to measure T cell and macrophage infiltration of the tumour bed in NSCLC and report the association between immune cell content and prognosis in a limited, 3-year analysis of survival (n = 113). In addition we investigated FasL expression (n = 45). T cells and macrophages were found to frequently infiltrate lung tumours, albeit in small numbers. Generally there were more T cells infiltrating than macrophages. T cell and macrophage numbers were not associated with prognosis. Lung tumours were found not to express FasL, although occasional immune cells surrounding tumour cells were strongly positive. FasL expression was not associated with prognosis in this series. Thus, immune cells infiltrating NSCLC are not capable of suppressing tumour growth, nor are they associated with tumour progression. We report that lung tumours do not express the FasL, and that although some immune cells are FasL positive, this is not a reflection of general immune cell activation.

Adenocarcinoma↗
PubMed2004

Dendritic cells in colorectal cancer correlate with other tumor-infiltrating immune cells.

Dendritic cells (DCs) are the most efficient antigen-presenting cells and play a key role in a cellular antitumor immune response. In this study we investigated the exact localization of DCs within colorectal tumors and their relationship to tumor-infiltrating lymphocytes as well as clinical outcome of the patients. Primary tumor specimens of 104 patients with a diagnosis of colorectal cancer were identified retrospectively and analyzed with the dendritic cell markers S-100 protein and human leukocyte antigens (HLA) class II. The markers were individually combined with laminin as a second marker to facilitate the observation of the different tumor localizations. S-100 or HLA class II positive cells were found in the three different compartments of colorectal tumors: tumor epithelium, tumor stroma, and advancing tumor margin, but mainly present in tumor stroma and advancing tumor margin. S-100-positive tumor-infiltrating DCs in direct contact with tumor cells, i.e., in tumor epithelium, significantly correlated to the intraepithelial infiltration of CD4+ (p=0.02) and CD8+ (p=0.01) lymphocytes. High HLA class II+ cell infiltration in the tumor stroma correlated to a lower intraepithelial infiltration of CD8+ (p=0.02) lymphocytes. High intraepithelial infiltration of S-100-positive DCs suggested increased disease-free survival, but was not statistically significant, while high amounts of HLA class II+ cells in the tumor stroma correlated with an adverse survival outcome. Our results show that the infiltration of DCs in colorectal cancer, depending on both location and type of marker, is correlated with local immune interactions and patient prognosis, suggesting a central role for DCs in controlling local tumor immunity.

Adult↗
PubMed1996

Immune infiltrates and cytokines in gliomas.

Frozen sections of 21 gliomas were analysed to characterize inflammatory infiltrating cells, HLA-DR antigen expression and cytokine secretion. Mononuclear cells infiltrating the tumours were mostly macrophages, which were detected in 100% of cases, and expressed HLA-DR antigens. Lymphocytes were less frequently seen and expressed the CD8 phenotype. Interleukin-1 beta (IL-1 beta) and Interleukin-6 (IL-6), two cytokines mainly produced by activated cells of the macrophage lineage, were demonstrated especially in neoplastic astrocytes. IL-1 beta immunoreactivity was detected in all tumours, and was prevalent in more anaplastic gliomas; IL-6 was found in anaplastic gliomas and in glioblastomas. IL-1 receptors were expressed by both infiltrating macrophages and neoplastic astrocytes in the gliomas analysed. These findings suggest that cytokine production in gliomas seems not related to immune reactions against the tumour and their synthesis by anaplastic astrocytes could follow an unregulated activation of many metabolic processes after neoplastic transformation.

Astrocytes↗