scholarly journals High Expression of PRMT6 Associated With Prognosis and Immune Infiltration in Glioma

2020 ◽  
Author(s):  
Yi Yang ◽  
Zhenshuang Wang ◽  
Shengrong Long ◽  
Jinhai Huang ◽  
Chengran Xu ◽  
...  
Keyword(s):  
Enrichment Analysis ◽  
Clinical Work ◽  
High Expression ◽  
Clinical Indicators ◽  
Immune Infiltration ◽  
Tumor Tissues ◽  
Potential Biomarker ◽  
Patient Prognosis ◽  
The Relationship

Abstract Background: Gliomas are characterised by easy invasion of surrounding tissues, high mortality and poor prognosis. Moreover, with the increase of grade, the prognosis of glioma is increasingly poor and not optimistic. Therefore, biological markers for glioma are needed in clinical work, which can be utilized to detect and evaluate the situation and prognosis of glioma patients. Many studies have found that the protein arginine methyltransferase 6 (PRMT6) expression is elevated in various tumors and is associated with patient prognosis. However, the role of PRMT6 in glioma has not been reported or analyzed. Methods: In this study, we used a variety of tumor related databases to analyze the mechanism of PRMT6 in tumors, especially gliomas, from the perspective of bioinformatics, and carried out relevant experimental verification with tumor tissues extracted from patients during surgery. In addition, we analyzed the relationship between PRMT6 expression and immune infiltration and immune-related cells, and discussed the possible mechanisms. We also discussed the role of PRMT6 expression in glioma from the perspectives of mutation, clinical indicators, enrichment analysis, and immunohistochemical results. Results: PRMT6 is significantly differentially expressed in a variety of tumors and is associated with survival and prognosis. Especially in gliomas, the expression of PRMT6 gradually increased with the increase of grade. In addition, PRMT6 can be used as an independent prognostic risk factor in the nomogram and has been verified in a variety of databases. Conclusions: Our results indicate that high expression of PRMT6 is a potential biomarker for predicting glioma prognosis and progression.

scholarly journals High PRMT6 expression Associated With Prognosis and Immune Infiltration in Glioma

2021 ◽  
Author(s):  
Yi Yang ◽  
Zhenshuang Wang ◽  
Shengrong Long ◽  
Jinhai Huang ◽  
Chengran Xu ◽  
...  
Keyword(s):  
Risk Factor ◽  
Poor Prognosis ◽  
Enrichment Analysis ◽  
Arginine Methyltransferase ◽  
Clinical Indicators ◽  
Immune Infiltration ◽  
Tumor Tissues ◽  
Potential Biomarker ◽  
The Relationship

Abstract Background Glioma is characterised by easy invasion of surrounding tissues, high mortality and poor prognosis. Moreover, the prognosis of glioma is getting worse and worse with the increase of grade, which is not optimistic. Therefore, biological markers for glioma are needed in clinical to detect and evaluate the situation and prognosis of patients with glioma. In many studies, we have found that the protein arginine methyltransferase 6 (PRMT6) expression is elevated in various tumors, which is associated with prognosis of patient. However, there has been no report or study on the role of PRMT6 in glioma. Methods In this study, we used various tumor-related databases to analyze the mechanism of PRMT6 in tumors, especially gliomas, from bioinformatics, and carried out relevant experimental verification with tumor tissues extracted from patients during surgery. Besides, we analyzed the relationship between PRMT6 expression and immune infiltration and immune-related cells, and discussed the possible mechanisms. We also discussed the role of PRMT6 expression in glioma from mutation, clinical indicators, enrichment analysis, and immunohistochemical results. Results PRMT6 is significantly differentially expressed in multiple tumors, which is associated with survival and prognosis. Especially in gliomas, the PRMT6 expression gradually increased with the grade increasing. Besides, PRMT6 can be used as an independent prognostic risk factor in the nomogram and has been verified in various databases. Conclusions Our results indicate that high PRMT6 expression is a potential biomarker for predicting prognosis and progression of glioma.

scholarly journals High Expression Levels of KIF18A is an Independent Predictor of Poor Survival in Glioma: A Study Using Multi Public Data

2020 ◽  
Author(s):  
Haigang Chang ◽  
Yaxiao Wang ◽  
Yan Li ◽  
Weilong Yang ◽  
Lei Wang ◽  
...  
Keyword(s):  
Poor Prognosis ◽  
Enrichment Analysis ◽  
Gene Set Enrichment Analysis ◽  
High Expression ◽  
Who Grade ◽  
Normal Tissues ◽  
Potential Biomarker ◽  
Public Data ◽  
Public Datasets ◽  
The Relationship

Abstract Background: Kinesin family member 18A (KIF18A) belongs to a member of the kinesin superfamily and is significantly overexpressed and abnormally functions in a variety of cancers. However, the expression profiling and the role of KIF18A has so far remained unclear in glioma. To investigate the relationship of KIF18A with clinical practice and its role in gliomas, the data from multi public datasets were used and analyzed in present study.Methods: Patients with gliomas were enrolled from CGGA RNA-seq, TCGA-seq, CGGA-microarray, GSE4290 and GSE50161 databases. The expression of KIF18A in glioma and normal tissues was analyzed through Wilcoxon rank sum test, and the relationship between KIF18A and clinicopathological features was evaluated using logistic regression. The effect of KIF18A expression in the survival of glioma patients was explored by Kaplan-Meier and Cox analyses. Gene set enrichment analysis was also conducted to annotate biological function of KIF18A.Results: KIF18A expression was significantly increased in glioma tissues compared with the normal counterparts. High KIF18A expression shortened the overall survival in all grades gliomas and the survival period of patients with WHO grade Ⅲ glioma, but not significantly for grade Ⅱ and grade Ⅳ glioma. Univariate and multivariate analyses demonstrated that evaluated KIF18A expression is closely related to poor prognosis. Increased KIF18A expression was significantly correlated grades, age, IDH wide type and may serve as a biomarker of poor prognosis in gliomas. GSEA showed that the KEGG_DNA_REPLICATION, the KEGG_CELL_CYCLE, the KEGG_MISMATCH_REPAIR and the KEGG_NUCLEOTIDE_EXCISION_REPAIR were differentially enriched in KIF18A high expression phenotype.Conclusions: High expression KIF18A might be potential biomarker for the diagnosis and an independent risk factor for poor prognosis in glioma.

scholarly journals Expression and clinical significance of CMTM1 in hepatocellular carcinoma

Open Medicine ◽  
2021 ◽  
Vol 16 (1) ◽  
pp. 217-223
Author(s):  
Xin Song ◽  
Shidong Zhang ◽  
Run Tian ◽  
Chuanjun Zheng ◽  
Yuge Xu ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Transmembrane Domain ◽  
Disease Free Survival ◽  
Clinicopathological Characteristics ◽  
The Cancer Genome Atlas ◽  
High Expression ◽  
Chi Square ◽  
Tumor Tissues ◽  
The Relationship ◽  
Low Expression

Abstract Background CKLF Like Marvel Transmembrane Domain Containing 1 (CMTM1) plays a role in breast cancer and lung cancer, but studies on the occurrence and development of CMTM1 in hepatocellular carcinoma (HCC) have not been reported. Methods The Cancer Genome Atlas (TCGA) database and immunohistochemistry (IHC) were used to detect CMTM1 expression in HCC tissues. The relationship between CMTM1 expression and the clinicopathological characteristics of HCC patients was analyzed by chi-square test, and the relationship between CMTM1 expression and the prognosis of HCC patients was tested by the Kaplan–Meier model. Results Bioinformatics analysis showed that the mRNA expression of CMTM1 was upregulated in HCC tissues, and low expression of CMTM1 is associated with longer disease-free survival in patients with HCC. Similarly, the survival time of HCC patients in CMTM1 high expression group was significantly shorter than that in CMTM1 low expression group. IHC detection indicated that CMTM1 protein was highly expressed in both HCC and adjacent non-tumor tissues, with a positive expression in 84% (63/75) of HCC tissues and 89.3% (67/75) of adjacent non-tumor tissues. Moreover, CMTM1 expression was related to family history and TNM stage of HCC patients (P < 0.05), but had no relationship with other clinicopathological characteristics. The survival analysis based on IHC results showed that the prognosis of HCC patients in CMTM1 negative group was significantly poorer than that in CMTM1 positive group (P < 0.05). Conclusion CMTM1 has a high expression in HCC tissues and is related to the prognosis of HCC patients.

scholarly journals Bioinformatic Analysis: The Role of LINC00634 in Colorectal Carcinoma

2021 ◽  
Author(s):  
Fang Liu ◽  
Fengyihuan Fu ◽  
Yuqiang Nie
Keyword(s):  
Esophageal Cancer ◽  
Regression Analysis ◽  
Prognostic Factors ◽  
Colorectal Carcinoma ◽  
Roc Curve ◽  
Cox Regression ◽  
Survival Outcomes ◽  
Immune Infiltration ◽  
The Relationship

Abstract Background: LINC00634 is highly expressed in esophageal cancer, and its depletion can suppress the viability and induce the apoptosis of esophageal cancer cells. However, there is a lack of studies that examine the relationship between LINC00634 expression and the clinicopathological features, survival outcomes, prognostic factors and tumor immune cell infiltration of colorectal carcinoma (CRC) patients.Objective: We aim at investigating the role of LINC00634 in colorectal carcinoma.Methods: We obtained data from the TCGA (The Cancer Genome Atlas) public database, GTEx (Genotype-Tissue Expression) database and clinical samples. Wilcoxon rank-sum test, Kruskal-Wallis test and logistic regression analysis were employed to assess the relationship between LINC00634 expression and the clinicopathological characteristics of CRC patients. Receiver operating characteristic (ROC) curve was constructed to evaluate the ability of LINC00634 for distinguishing between CRC patients and normal subjects based on the area under the curve (AUC) score. Univariate and multivariate analyses were conducted to evaluate the association between prognostic factors and survival outcomes. Kaplan-Meier curves and Cox regression analysis were employed to determine the contribution of LINC00634 expression to the prognosis of colorectal carcinoma patients. Immune infiltration analysis and Gene Set Enrichment Analysis (GSEA) were conducted to identify the significantly involved functions of LINC00634. Finally, a nomogram was constructed for internal verification based on the Cox regression data.Results: The expression of LINC00634 was upregulated in CRC patients, and markedly associated with N stage, residual tumor, pathological stage, and overall survival (OS) event. ROC curve showed that LINC00634 had strong diagnostic and prognostic abilities (AUC=0.74). The high expression of LINC00634 could predict poor disease specific survival (DSS; P=0.008) and poor overroll survival (OS;P<0.01). The expression of LINC00634 was independently associated with OS in CRC patients (P=0.019). GSEA and immune infiltration analysis demonstrated that LINC00634 expression was involved in gene transcription, epigenetic regulation and the functions of certain types of immune infiltrating cells. The c-index of the nomogram was 0.772 (95％CI: 0.744-0.799).Conclusions: Our study reveals that LINC00634 can serve as a potential prognostic biomarker for CRC patients.

ERO1L shapes the immune-suppressive tumor microenvironment and is a potential biomarker for immunotherapy response in lung adenocarcinoma.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e21006-e21006
Author(s):  
Lihui Liu ◽  
Chao Wang ◽  
Sini Li ◽  
Pei Xue ◽  
Hua Bai ◽  
...  
Keyword(s):  
T Cells ◽  
Endoplasmic Reticulum ◽  
Lung Adenocarcinoma ◽  
Signaling Pathways ◽  
Survival Data ◽  
Checkpoint Inhibitors ◽  
Q Value ◽  
Immune Infiltration ◽  
Potential Biomarker

e21006 Background: Recently, immune checkpoint inhibitors have led to a paradigm shift in treatment for patients with lung adenocarcinoma (LUAD), however, the identification of biomarkers to enable patient selection is urgently required. The endoplasmic reticulum oxidoreductin-1-like ( ERO1L) gene encodes an endoplasmic reticulum luminal localized glycoprotein known to associated with hypoxia. The role of ERO1L in the crafting of the tumor immune microenvironment (TIME) is yet to be elucidated. Methods: In this study, raw datasets (including RNA-seq, methylation, sgRNA-seq, phenotype, and survival data) were obtained from public databases. This data was analyzed and used to explore the biological landscape of ERO1L in immune infiltration. Expression data was used to characterize samples. Using gene signatures and cell quantification, stromal and immune infiltration was determined. These findings were used to predict sensitivity to immunotherapy. Results: We identified ERO1L to be an oncogene, the mRNA expression of which is significantly higher in LUAD compared with normal tissues. High expression levels of ERO1L were associated with poor prognoses in terms of overall survival (HR: 1.52, 95% CI: 1.27-1.82) and progression-free survival (HR: 1.93, 95% CI: 1.47-2.53). This overexpression was found to be a result of hypomethylation of the ERO1L promoter. Overexpression of ERO1L resulted in an immune-suppressive TIME via the recruitment of immune-suppressive cells including regulatory T cells (Spearman’s ρ = 0.199, p < 0.001) cancer associated fibroblasts (ρ = 0.286, p < 0.001), and myeloid-derived suppressor cells (ρ = 0.423, p < 0.001), and also indicated the polarization of M1-type to M2-type macrophage. On the contrary, overexpression of ERO1L was closely associated with deficiency of immune-active cells including B cells (ρ = -0.250, p < 0.001), CD8+ T cells (ρ = -0.299, p < 0.001), and NK cells (ρ = -0.258, p < 0.001). Using the Tumor Immune Dysfunction and Exclusion (TIDE) framework, it was identified that patients in the ERO1Lhigh group possessed a significantly lower response rate (31.0%) to immunotherapy compared with the ERO1Llow group (86.0%). Mechanistic analysis revealed that overexpression of ERO1L was associated with the upregulation of JAK-STAT (NES = 1.65, FDR q-value = 0.0) and NF-κB (NES = 2.03, FDR q-value = 0.0) signaling pathways, thus affecting chemokine and cytokine patterns in the TIME. Conclusions: Our study provides clear insight into the potential role of ERO1L in tumor immunology. Overexpression of ERO1L was indicative of a hypoxia-induced immune-suppressive TIME, which was shown to confer resistance to immunotherapy in patients with LUAD. ERO1L was shown to mediate cytokine and chemokine patterns in the TIME, which were resulted from activations of JAK-STAT and NF-κB signaling pathways.

scholarly journals The Role of Tumor-Infiltrating B Cells in Tumor Immunity

2019 ◽  
Vol 2019 ◽  
pp. 1-9 ◽  
Author(s):  
Fei Fei Guo ◽  
Jiu Wei Cui
Keyword(s):  
T Cells ◽  
B Cells ◽  
Tumor Immunity ◽  
Therapeutic Target ◽  
Tumor Biomarker ◽  
Potential Therapeutic Target ◽  
Tumor Inhibition ◽  
Tumor Tissues ◽  
The Relationship

Earlier studies on elucidating the role of lymphocytes in tumor immunity predominantly focused on T cells. However, the role of B cells in tumor immunity has increasingly received better attention in recent studies. The B cells that infiltrate tumor tissues are called tumor-infiltrating B cells (TIBs). It is found that TIBs play a multifaceted dual role in regulating tumor immunity rather than just tumor inhibition or promotion. In this article, latest research advances focusing on the relationship between TIBs and tumor complexity are reviewed, and light is shed on some novel ideas for exploiting TIBs as a possible tumor biomarker and potential therapeutic target against tumors.

scholarly journals Identification of PKP 2/3 as potential biomarkers of ovarian cancer based on bioinformatics and experiments

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Lingling Gao ◽  
Xiao Li ◽  
Qian Guo ◽  
Xin Nie ◽  
Yingying Hao ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Signaling Pathway ◽  
Poor Prognosis ◽  
Enrichment Analysis ◽  
Functional Enrichment Analysis ◽  
Functional Enrichment ◽  
Biological Behavior ◽  
Cell Junction ◽  
Immune Infiltration ◽  
Potential Biomarker

Abstract Background Plakophilins (PKPs) are widely involved in gene transcription, translation, and signal transduction, playing a crucial role in tumorigenesis and progression. However, the function and potential mechanism of PKP1/2/3 in ovarian cancer (OC) remains unclear. It’s of great value to explore the expression and prognostic values of PKP1/2/3 and their potential mechanisms, immune infiltration in OC. Methods The expression levels, prognostic values and genetic variations of PKP1/2/3 in OC were explored by various bioinformatics tools and databases, and PKP2/3 were selected for further analyzing their regulation network and immune infiltration. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes pathways (KEGG) enrichment were also conducted. Finally, the expression and prognosis of PKP2 were validated by immunohistochemistry. Results The expression level and prognosis of PKP1 showed little significance in ovarian cancer, and the expression of PKP2/3 mRNA and protein were upregulated in OC, showing significant correlations with poor prognosis of OC. Functional enrichment analysis showed that PKP2/3 and their correlated genes were significantly enriched in adaptive immune response, cytokine receptor activity, organization of cell–cell junction and extracellular matrix; KEGG analysis showed that PKP2/3 and their significantly correlated genes were involved in signaling pathways including cytokine-mediated signaling pathway, receptor signaling pathway and pathways in cancer. Moreover, PKP2/3 were correlated with lymphocytes and immunomodulators. We confirmed that high expression of PKP2 was significantly associated with advanced stage, poor differentiation and poor prognosis of OC patients. Conclusion Members of plakophilins family showed various degrees of abnormal expressions and prognostic values in ovarian cancer. PKP2/3 played crucial roles in tumorigenesis, aggressiveness, malignant biological behavior and immune infiltration of OC, and can be regarded as potential biomarker for early diagnosis and prognosis evaluation in OC.

scholarly journals CLDN6 and CLDN10 are Associated with Immune Infiltration of Ovarian Cancer: A Study of Claudin Family

2020 ◽  
Author(s):  
Peipei Gao ◽  
Ting Peng ◽  
Canhui Cao ◽  
Shitong Lin ◽  
Ping Wu ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
T Cell ◽  
Tumor Microenvironment ◽  
Immune Cells ◽  
Enrichment Analysis ◽  
Gene Set Enrichment Analysis ◽  
Gene Markers ◽  
Immune Infiltration ◽  
Kaplan Meier ◽  
The Relationship

Abstract Background: Claudin family is a group of membrane proteins related to tight junction. There are many studies about them in cancer, but few studies pay attention to the relationship between them and the tumor microenvironment. In our research, we mainly focused on the genes related to the prognosis of ovarian cancer, and explored the relationship between them and the tumor microenvironment of ovarian cancer.Methods: The cBioProtal provided the genetic variation pattern of claudin gene family in ovarian cancer. The ONCOMINE database and Gene Expression Profiling Interactive Analysis (GEPIA) were used to exploring the mRNA expression of claudins in cancers. The prognostic potential of these genes was examined via Kaplan-Meier plotter. Immunologic signatures were enriched by gene set enrichment analysis (GSEA). The correlations between claudins and the tumor microenvironment of ovarian cancer were investigated via Tumor Immune Estimation Resource (TIMER).Results: In our research, claudin genes were altered in 363 (62%) of queried patients/samples. Abnormal expression levels of claudins were observed in various cancers. Among them, we found that CLDN3, CLDN4, CLDN6, CLDN10, CLDN15 and CLDN16 were significantly correlated with overall survival of patients with ovarian cancer. GSEA revealed that CLDN6 and CLDN10 were significantly enriched in immunologic signatures about B cell, CD4 T cell and CD8 T cell. What makes more sense is that CLDN6 and CLDN10 were found related to the tumor microenvironment. CLDN6 expression was negatively correlated with immune infiltration level in ovarian cancer, and CLDN10 expression was positively correlated with immune infiltration level in ovarian cancer. Further study revealed the CLDN6 expression level was negatively correlated with gene markers of various immune cells in ovarian cancer. And, the expression of CLDN10 was positive correlated with gene markers of immune cells in ovarian cancer.Conclusions: CLDN6 and CLDN10 were prognostic biomarkers, and correlated with immune infiltration in ovarian cancer. Our results revealed new roles for CLDN6 and CLDN10, and they were potential therapeutic targets in the treatment of ovarian cancer.

scholarly journals DDX10 Promotes the Proliferation and Metastasis of Colorectal Cancer Cells via Splicing RPL35

2021 ◽  
Author(s):  
Xin Zhou ◽  
Zhihong Liu ◽  
Cuifeng Zhang ◽  
Manman Jiang ◽  
Yuxiao Jin ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Molecular Mechanisms ◽  
Enrichment Analysis ◽  
Gene Set Enrichment Analysis ◽  
Migration And Invasion ◽  
Ppi Network ◽  
Interacting Protein ◽  
Network Analyses ◽  
Potential Biomarker

Abstract Background: Colorectal cancer (CRC) has become the second deadliest cancer in the world and severely threatens human health. An increasing number of studies have focused on the role of the RNA helicase DEAD-box (DDX) family in CRC. However, the mechanism of DDX10 in CRC has not been elucidated.Methods: In our study, we analysed the expression data of CRC samples from the Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) databases. Subsequently, we performed cytological experiments and animal experiments to explore the role of DDX10 in CRC cells. Furthermore, we performed Gene Ontology (GO)/ Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis and protein-protein interaction (PPI) network analyses. Finally, we predicted the interacting protein of DDX10 by LC-MS/MS and verified it by coimmunoprecipitation (Co-IP) and qPCR.Results: In the present study, we identified that DDX10 mRNA was extremely highly expressed in CRC tissues compared with normal colon tissues in the TCGA and GEO databases. The protein expression of DDX10 was measured by immunochemistry (IHC) in 17 CRC patients. The biological roles of DDX10 were explored via cell and molecular biology experiments in vitro and in vivo and cell cycle assays. We found that DDX10 knockdown markedly reduced CRC cell proliferation, migration and invasion. Then, we constructed a PPI network with the Search Tool for the Retrieval of Interacting Genes/Proteins (STRING). GO and KEGG enrichment analysis and gene set enrichment analysis (GSEA) showed that DDX10 was closely related to RNA splicing and E2F targets. Using LC-MS/MS and Co-IP assays, we discovered that RPL35 is the interacting protein of DDX10. In addition, we hypothesize that RPL35 is related to the E2F pathway and the immune response in CRC.Conclusions: In conclusion, provides a better understanding of the molecular mechanisms of DDX10 in CRC and provides a potential biomarker for the diagnosis and treatment of CRC.

scholarly journals The High Expression of CD276/HAVCR2 and CD163 is an Adverse Immune Subtype of Glioblastoma and is Closely Related to Epithelial-Mesenchymal Transition

2020 ◽  
Author(s):  
Xiaohong Hou ◽  
Guiyin Zhou ◽  
Yinchun Fan ◽  
Qiang Zhang ◽  
Chengming Xiang ◽  
...  
Keyword(s):  
Poor Prognosis ◽  
Epithelial Mesenchymal Transition ◽  
Malignant Tumors ◽  
Checkpoint Inhibitors ◽  
Enrichment Analysis ◽  
R Package ◽  
High Expression ◽  
Sequencing Data ◽  
Mesenchymal Transition ◽  
Patient Prognosis

Abstract Background Glioblastoma (GBM) is one of the most malignant tumors that can afflict the central nervous system. Previous studies have observed that there are individual differences in the treatment response of immune checkpoint inhibitors in glioblastoma. This study’s aim is to ascertain the factors that may affect the efficacy of immunosuppressant therapy. Methods The clinical data of this study were obtained from a public database. Then, the data was analyzed and processed by R software and corresponding R package. To verify the results of the analysis, information was gathered from 89 GBM patients in our hospital and thereafter the corresponding paraffin sections were stained and quantitatively analyzed by immunohistochemistry. Results From the analysis, it was observed that both CD276 and HAVCR2 were significantly overexpressed in GBM and could be associated with patient prognosis. The analysis of single cell RNA sequencing data and GBM data analysis found an immune subtype with poor prognosis. Further analysis found that the high expression of CD276, HAVCR2 and CD163 was closely related to epithelial-mesenchymal transition (EMT) and could affect the patient prognosis of PD-L1 high expression. GSVA enrichment analysis showed that CD276, HAVCR2 and CD163 might induce EMT by JAK-STAT3 signaling pathway, and RUNX1 and IKZF1 might be transcription factors that regulate CD276/HAVCR2 high expression. Conclusions We found an immune subtype with poor prognosis of GBM, the high expression of CD276, HAVCR2 and CD163 with EMT are closely related and may be one of the factors affecting the efficacy of Anti-PD-L1.

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