scholarly journals Myeloid Diagnostic and Prognostic Markers of Immune Suppression in the Blood of Glioma Patients

2022 ◽  
Vol 12 ◽  
Author(s):  
Paola Del Bianco ◽  
Laura Pinton ◽  
Sara Magri ◽  
Stefania Canè ◽  
Elena Masetto ◽  
...  

BackgroundAlthough gliomas are confined to the central nervous system, their negative influence over the immune system extends to peripheral circulation. The immune suppression exerted by myeloid cells can affect both response to therapy and disease outcome. We analyzed the expansion of several myeloid parameters in the blood of low- and high-grade gliomas and assessed their relevance as biomarkers of disease and clinical outcome.MethodsPeripheral blood was obtained from 134 low- and high-grade glioma patients. CD14+, CD14+/p-STAT3+, CD14+/PD-L1+, CD15+ cells and four myeloid-derived suppressor cell (MDSC) subsets, were evaluated by flow cytometry. Arginase-1 (ARG1) quantity and activity was determined in the plasma. Multivariable logistic regression model was used to obtain a diagnostic score to discriminate glioma patients from healthy controls and between each glioma grade. A glioblastoma prognostic model was determined by multiple Cox regression using clinical and myeloid parameters.ResultsChanges in myeloid parameters associated with immune suppression allowed to define a diagnostic score calculating the risk of being a glioma patient. The same parameters, together with age, permit to calculate the risk score in differentiating each glioma grade. A prognostic model for glioblastoma patients stemmed out from a Cox multiple analysis, highlighting the role of MDSC, p-STAT3, and ARG1 activity together with clinical parameters in predicting patient’s outcome.ConclusionsThis work emphasizes the role of systemic immune suppression carried out by myeloid cells in gliomas. The identification of biomarkers associated with immune landscape, diagnosis, and outcome of glioblastoma patients lays the ground for their clinical use.

2021 ◽  
Author(s):  
Paola Del Bianco ◽  
Laura Pinton ◽  
Sara Magri ◽  
Stefania Canè ◽  
Elena Masetto ◽  
...  

Abstract Background Although gliomas are strictly confined to the central nervous system, their negative influence over the immune system can extend to peripheral circulation. The immune suppression exerted by myeloid cells is capable of affecting both response to therapy and disease outcome. Here we analyzed the expansion of several myeloid parameters in the blood of low- and high-grade gliomas and assessed their relevance as biomarkers of disease and clinical outcome. Methods Peripheral blood was obtained from 134 low- and high-grade glioma patients before surgery and treatment. Myeloid cell subsets such as total CD14+, CD14+/p-STAT3+, CD14+/PD-L1+, CD15+ cells and 4 myeloid derived suppressor cell (MDSC) subsets, were evaluated by multiparametric flow cytometry. Arginase-1 (ARG1) quantity and activity was determined in the plasma. Principal component analysis was performed to define correlations between myeloid markers. Multivariable logistic regression model was used to obtain a diagnostic score to discriminate glioma patients from healthy controls, and between each glioma grade. A glioblastoma prognostic model was determined by multiple Cox regression using clinical and myeloid parameters. Results In the blood of glioma patients, changes in myeloid parameters associated with immune suppression were identified and allowed us to define a diagnostic score calculating the risk of being a glioma patient, that included CD15+ cells, MDSC1, MDSC3, p-STAT3 and ARG1 activity. Of note, the same parameters, together with age, can also be used to calculate the risk score in differentiating each glioma grade. Finally, a prognostic model for glioblastoma patients stemmed out from a Cox multiple analysis, highlighting the role of MDSC, p-STAT3 and ARG1 activity together with clinical parameters in predicting the patient outcome. Conclusions This work emphasizes the role of systemic immune suppression carried out by myeloid cells in gliomas. The identification of biomarkers associated with immune landscape, diagnosis and outcome of glioblastoma patients lays the ground for their clinical use for stratification and follow up.


PLoS ONE ◽  
2013 ◽  
Vol 8 (4) ◽  
pp. e61961 ◽  
Author(s):  
Luke Barron ◽  
Amber M. Smith ◽  
Karim C. El Kasmi ◽  
Joseph E. Qualls ◽  
Xiaozhu Huang ◽  
...  

2021 ◽  
Author(s):  
Rong Huang ◽  
Yanlin Huang ◽  
Jinyun Su ◽  
Heng Li ◽  
Zhong Liu ◽  
...  

Abstract PurposeOptic nerve gliomas (ONGs) are uncommon tumors of the central nervous system in adults. The aim of this study was to define their characteristics, prognostic factors, and the impacts of adjuvant radiotherapy (RT) and chemotherapy on outcomes.MethodsAdult patients (age ≥ 18 years) with ONGs from the Surveillance, Epidemiology, and End Results (SEER) database were included. Univariate and multivariate Cox regression models were utilized to analyze the factors associated with survival. Kaplan-Meier method was used to evaluate the impacts of adjuvant therapies on overall survival (OS).ResultsA total of 179 adult patients diagnosed with ONGs were identified between 1991 and 2016, with a median follow-up period of 64.0 months. The median age at diagnosis was 41.0 years. After excluding 18 patients with unknown information, the remaining patients included 142 (88.2%) low-grade tumors and 19 (11.8%) high-grade tumors. Multivariate analysis showed age at diagnosis, tumor grade, adjuvant chemotherapy were significant factors for OS. The 5-year OS rates for patients with low- and high-grade ONGs were 85.5% and 10.5%, respectively. The employment of adjuvant RT or chemotherapy would significantly shorten OS time in the low-grade group and could not prolong OS time in the high-grade group.ConclusionsThis is the largest retrospective study of adult ONGs up to date. The overall prognosis of high-grade ONGs in adult patients is still poor despite multi-modality treatments. Adjuvant RT or chemotherapy might not be considered in adult patients with low-grade ONGs unless the malignant transformation or aggressive progression has been confirmed.


2021 ◽  
Vol 2021 ◽  
pp. 1-30
Author(s):  
Jun Hui Xu ◽  
Yong Jun Guan ◽  
Zhen Dong Qiu ◽  
Xin Zhang ◽  
Liu Liu Zi ◽  
...  

Hepatocellular carcinoma (HCC) is an aggressive malignant tumor with a poor prognosis. Reactive oxygen species (ROS) play an important role in tumors; however, the role of ROS-related genes is still unclear in HCC. Therefore, we analyzed the role of ROS-related genes in HCC via bioinformatics methods. Firstly, a prognosis model was constructed using LASSO Cox regression and multivariate analyses. We also investigated the potential function of the ROS-related genes and the correlation with immune infiltration, tumor stemness, and drug sensitivity. ICGC database was used for validation. Secondly, we further analyzed the role of 11 ROS-related genes in HCC. As a member of ROS gene family, the role of STK25 has remained unclear in HCC. We explored the biological function of STK25 using in vitro experiments. The present study was the first to construct a ROS-related prognostic model in HCC. The correlation of ROS-related genes with immune infiltration, tumor stemness, and drug sensitivity was dissected. Furthermore, we demonstrated that STK25 knockdown could increase the proliferation, migration, and invasion capacity of HCC cells.


2021 ◽  
Vol 10 (24) ◽  
pp. 5956
Author(s):  
Cecilia Tetta ◽  
Grazia Montrone ◽  
Alessandra Longhi ◽  
Michele Rocca ◽  
Francesco Londero ◽  
...  

Background: Synovial sarcoma is a relatively chemosensitive type of soft tissue sarcoma and it often metastasizes to the lung. We investigated the role of adjuvant chemotherapy in patients with high-grade synovial sarcoma at their first lung metastasectomy (LMTS). Methods: Forty-six HGSS patients had their first LMTS at our institute (Rizzoli Orthopedic Hospital, Bologna, Italy) between 2000 and 2020. We divided them into two groups: (1) those undergoing adjuvant chemotherapy (n = 24) and (2) those not receiving adjuvant chemotherapy (n = 22). The primary outcome was a median survival at 32.5 (IQR 18.0–82.7) median follow-up. The disease-free interval was calculated at time zero (DFI0, interval between the diagnosis of the primary tumor and the first CT-diagnosed lung metastasis) and at any further lung relapse (DFI1–3). T0 was defined as the time at first LMTS and T1–T3 referred to the time of further metastasectomy. Results: Freedom from SS-specific mortality at 60 months was significantly higher in patients without chemotherapy (50.0% (33.0–76.0%) vs. 20.8% (9.55%–45.4%), p = 0.01). Chemotherapy was associated with a higher risk of SS-specific mortality at multivariable Cox regression (HR 2.8, p = 0.02). Furthermore, DFI0 ≤ 6 months, female sex, age > 40 years, and primary tumor > 10 cm increased the risk of death by about four, six, >three, and >five times, respectively. Conclusions. Adjuvant chemotherapy did not show any advantage in terms of freedom from SS-specific mortality in HGSS patients. Further larger studies are necessary to confirm our findings.


2021 ◽  
Vol 12 ◽  
Author(s):  
Hongwei Luo ◽  
Yingchun Zhang ◽  
Nan Hu ◽  
Yancheng He ◽  
Chengcheng He

Background: The abnormal expression of RNA-binding proteins (RBPs) in various malignant tumors is closely related to the occurrence and development of tumors. However, the role of RBPs in acute myeloid leukemia (AML) is unclear.Methods: We downloaded harmonized RNA-seq count data and clinical data for AML from UCSC Xena, including The Cancer Genome Atlas (TCGA), The Genotype-Tissue Expression (GTEx), and Therapeutically Applicable Research to Generate Effective Treatments (TARGET) cohorts. R package edgeR was used for differential expression analysis of 337 whole-blood data and 173 AML data. The prognostic value of these RBPs was systematically investigated by using univariate Cox regression analysis, least absolute shrinkage and selection operator (LASSO)–Cox regression analysis, and multivariate Cox regression analysis. C-index and calibration diagram were used to judge the accuracy of the model, and decision curve analysis (DCA) was used to judge the net benefit. The biological pathways involved were revealed by gene set enrichment analysis (GSEA). The Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis and the protein–protein interaction (PPI) network performed lateral verification on the selected gene set and LASSO results.Results: A prognostic model of 12-RBP signature was established. In addition, the net benefit and prediction accuracy of the prognostic model and the mixed model based on it were significantly higher than that of cytogenetics. It is verified in the TARGET cohort and shows good prediction effect. Both the selection of our gene set and the LASSO results have high credibility. Most of these pathways are involved in the development of the disease, and they also accumulate in leukemia and RNA-related pathways.Conclusion: The prognosis model of the 12-RBP signature found in this study is an optimized biomarker that can effectively stratify the risk of AML patients. Nomogram based on this prognostic model is a reliable method to predict the median survival time of patients. This study expands our current understanding of the role of RBPs in the occurrence of AML and may lay the foundation for future treatment of the disease.


Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 1471-1471
Author(s):  
Santhosh Kumar Pasupuleti ◽  
Baskar Ramdas ◽  
Kai Yang ◽  
Chujing Zhang ◽  
Elliot Stieglitz ◽  
...  

Abstract Tumor-associated macrophages (TAMs) are a key component of tumor-infiltrating immune cells. Macrophages are largely characterized as M1 or M2 types, and TAMs have been shown to express an M2-like phenotype. TAMs endorse tumor progression and contribute to resistance to chemotherapies. However, it is unclear what the composition of M2 macrophages is in patients with Juvenile myelomonocytic leukemia (JMML) and how do these cells mechanistically contribute to JMML and/or relapse after bone marrow transplantation. To study the role of M2- TAMs in JMML development, we first examined the bulk RNA-sequence data in 90 JMML patients. These data demonstrated a significant increase in the expression of arginase-1 (Arg-1) and programmed cell death-1 (PD-1). Furthermore, single cell RNA-sequencing analysis of monocytes/macrophages from 4 JMML patients revealed higher expression of M2- macrophage markers/genes such as IL-10, CD163, MRC1/CD206, TGF-β1 and IL-1R1 compared to M1 macrophage (CD80, CCR7, IL-6, CXCL10, CXCL11 and TNF) expression. We hypothesized that in JMML, inflammatory myeloid cells including neutrophils and M2-macrophages express higher levels of arginase and PD-1, which may contribute to the local suppression of immune responses and damage the bone marrow microenvironment (BME) leading to poor engraftment of normal donor cells, resulting in relapse. To study how alterations in bone marrow (BM) macrophages (M1/M2) contribute to JMML development and relapse, we utilized a mouse model bearing Shp2 E76K mutation (Ptpn11 E76K/+) driven by lysosome-cre (Ptpn11 E76K/+; LysM-Cre+, indicated as Shp2* mice hereafter). This model is frequently used to study JMML as it manifests cardinal features of human JMML. In a competitive transplantation experiment using, Shp2* + Boy/J BM cells (1:1 ratio) transplanted into lethally irradiated Shp2* recipient mice, we show that Shp2* mutant cells out compete WT BoyJ cells and result in rapid growth of CD45.2+ Shp2* mutant mature myeloid cells, hematopoietic stem and progenitors (HSC/Ps) and M2- macrophages (F4/80+/CD206+) in the BM and spleen leading to leukemia relapse. To determine if modulating Arg-1 and PD-1/PD-L1 levels in the background of Shp2* mutant leukemic stem cells in Shp2* recipients would alter the overall engraftment and JMML development and relapse, we again performed a competitive transplantation experiment using, Shp2* + Boy/J (BM cells, 1:1 ratio) into Shp2* and WT recipient mice. After 8 weeks post transplantation, we investigated the role of Arg-1 and PD-L1 in Shp2* recipients using pharmacological inhibitors, CB-1158 (Arg-1 inhibitor; 100 mg/kg, orally) + anti-PD-L1 antibody (10 mg/kg, i.p) for 30 days. The Arg-1 + PD-L1 treatment significantly reduced the number of white blood cells, neutrophils, monocytes and improved RBC and platelet counts. The spleen and liver weights were significantly rescued as well. Interestingly, CD45.1 WT donor cells in the PB, BM, and spleen were significantly increased and a significant reduction of Shp2* mutant CD45.2+ mature myeloid cells in the PB, BM, and spleen was observed. Importantly, the frequency and absolute number of leukemic blasts, LSK (Lin-/Sca1+/c-KIT+) cells, short term hematopoietic cells (ST-HSCs), common myeloid progenitors (CMP), granulocyte macrophage progenitors (GMP) and megakaryocyte erythroid progenitors (MEP) were significantly reduced. Furthermore, the M2- TAMs were significantly reduced in the BM and spleen of Arg-1 + PD-L1 drug treated group compared to vehicle treated mice. Notably the CD8+ T-cells (IFN-γ+ and TNF-α+) were significantly improved in the drug treated mice. These data suggest that the suppression of arginase-1 allows for the arginine levels to increase, which promotes the proliferation of T-cells. Increasing arginine levels also promotes an anti-tumor immune response resulting in the emergence of CD45.1 WT HSCs as opposed to mutant CD45.2 HSCs, suggesting that Arg-1 + PD-L1 treatment is a novel therapeutic approach to treat patients with JMML and for preventing leukemia relapse after BM transplantation. Disclosures No relevant conflicts of interest to declare.


2007 ◽  
Vol 177 (4S) ◽  
pp. 421-421
Author(s):  
Veronica Triaca ◽  
Christian O. Twiss ◽  
Ramdev Konijeti ◽  
Larissa V. Rodriguez ◽  
Shlomo Raz

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