Table_3_Hypoxia Contributes to Poor Prognosis in Primary IDH-wt GBM by Inducing Tumor Cells MES-Like Transformation Trend and Inhibiting Immune Cells Activity.xlsx

AimsTo reveal the influence of hypoxia on tumor cells and immune cells in primary IDH-wt glioblastoma patients.MethodsSingle-cell RNA-seq data and bulk RNA-seq data were acquired from the Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) databases, respectively. Hypoxia status and subtypes of tumor cells were identified based on single-sample Gene Set Enrichment Analysis (ssGSEA). Regulon network analysis of different subtypes under different conditions was conducted by SCENIC. Within tumor microenvironment, biological process activity analysis and cell–cell communication network were conducted to uncover the inner links between each cell subtype under different hypoxia status.ResultsDifferent types of tumor cell in GBM possessed different hypoxia status, and MES-like subtype was under a more severe hypoxia condition than other subtypes. Hypoxia also induced MES-like signature gene expression within each tumor cell, which could stimulate tumor cell proliferation and invasion by regulating cell–cell communication. Additionally, hypoxia inhibited immune cell activity in the tumor microenvironment by inducing macrophage phenotype polarization and upregulating immune-inhibited cell–cell interaction within immune cells. Interactions between tumor cells and immune cells under hypoxia status also promoted tumor progression.ConclusionsHypoxia was a poor prognostic marker for primary IDH-wt GBM patients. Meanwhile, it could induce tumor cells’ MES-like transformation trend and inhibit antitumor function of immune cells.</p

Image_3_Hypoxia Contributes to Poor Prognosis in Primary IDH-wt GBM by Inducing Tumor Cells MES-Like Transformation Trend and Inhibiting Immune Cells Activity.tif

AimsTo reveal the influence of hypoxia on tumor cells and immune cells in primary IDH-wt glioblastoma patients.MethodsSingle-cell RNA-seq data and bulk RNA-seq data were acquired from the Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) databases, respectively. Hypoxia status and subtypes of tumor cells were identified based on single-sample Gene Set Enrichment Analysis (ssGSEA). Regulon network analysis of different subtypes under different conditions was conducted by SCENIC. Within tumor microenvironment, biological process activity analysis and cell–cell communication network were conducted to uncover the inner links between each cell subtype under different hypoxia status.ResultsDifferent types of tumor cell in GBM possessed different hypoxia status, and MES-like subtype was under a more severe hypoxia condition than other subtypes. Hypoxia also induced MES-like signature gene expression within each tumor cell, which could stimulate tumor cell proliferation and invasion by regulating cell–cell communication. Additionally, hypoxia inhibited immune cell activity in the tumor microenvironment by inducing macrophage phenotype polarization and upregulating immune-inhibited cell–cell interaction within immune cells. Interactions between tumor cells and immune cells under hypoxia status also promoted tumor progression.ConclusionsHypoxia was a poor prognostic marker for primary IDH-wt GBM patients. Meanwhile, it could induce tumor cells’ MES-like transformation trend and inhibit antitumor function of immune cells.</p

Table_2_Hypoxia Contributes to Poor Prognosis in Primary IDH-wt GBM by Inducing Tumor Cells MES-Like Transformation Trend and Inhibiting Immune Cells Activity.xlsx

AimsTo reveal the influence of hypoxia on tumor cells and immune cells in primary IDH-wt glioblastoma patients.MethodsSingle-cell RNA-seq data and bulk RNA-seq data were acquired from the Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) databases, respectively. Hypoxia status and subtypes of tumor cells were identified based on single-sample Gene Set Enrichment Analysis (ssGSEA). Regulon network analysis of different subtypes under different conditions was conducted by SCENIC. Within tumor microenvironment, biological process activity analysis and cell–cell communication network were conducted to uncover the inner links between each cell subtype under different hypoxia status.ResultsDifferent types of tumor cell in GBM possessed different hypoxia status, and MES-like subtype was under a more severe hypoxia condition than other subtypes. Hypoxia also induced MES-like signature gene expression within each tumor cell, which could stimulate tumor cell proliferation and invasion by regulating cell–cell communication. Additionally, hypoxia inhibited immune cell activity in the tumor microenvironment by inducing macrophage phenotype polarization and upregulating immune-inhibited cell–cell interaction within immune cells. Interactions between tumor cells and immune cells under hypoxia status also promoted tumor progression.ConclusionsHypoxia was a poor prognostic marker for primary IDH-wt GBM patients. Meanwhile, it could induce tumor cells’ MES-like transformation trend and inhibit antitumor function of immune cells.</p

Table_4_Hypoxia Contributes to Poor Prognosis in Primary IDH-wt GBM by Inducing Tumor Cells MES-Like Transformation Trend and Inhibiting Immune Cells Activity.xlsx

AimsTo reveal the influence of hypoxia on tumor cells and immune cells in primary IDH-wt glioblastoma patients.MethodsSingle-cell RNA-seq data and bulk RNA-seq data were acquired from the Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) databases, respectively. Hypoxia status and subtypes of tumor cells were identified based on single-sample Gene Set Enrichment Analysis (ssGSEA). Regulon network analysis of different subtypes under different conditions was conducted by SCENIC. Within tumor microenvironment, biological process activity analysis and cell–cell communication network were conducted to uncover the inner links between each cell subtype under different hypoxia status.ResultsDifferent types of tumor cell in GBM possessed different hypoxia status, and MES-like subtype was under a more severe hypoxia condition than other subtypes. Hypoxia also induced MES-like signature gene expression within each tumor cell, which could stimulate tumor cell proliferation and invasion by regulating cell–cell communication. Additionally, hypoxia inhibited immune cell activity in the tumor microenvironment by inducing macrophage phenotype polarization and upregulating immune-inhibited cell–cell interaction within immune cells. Interactions between tumor cells and immune cells under hypoxia status also promoted tumor progression.ConclusionsHypoxia was a poor prognostic marker for primary IDH-wt GBM patients. Meanwhile, it could induce tumor cells’ MES-like transformation trend and inhibit antitumor function of immune cells.</p

Table_1_Hypoxia Contributes to Poor Prognosis in Primary IDH-wt GBM by Inducing Tumor Cells MES-Like Transformation Trend and Inhibiting Immune Cells Activity.xlsx

AimsTo reveal the influence of hypoxia on tumor cells and immune cells in primary IDH-wt glioblastoma patients.MethodsSingle-cell RNA-seq data and bulk RNA-seq data were acquired from the Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) databases, respectively. Hypoxia status and subtypes of tumor cells were identified based on single-sample Gene Set Enrichment Analysis (ssGSEA). Regulon network analysis of different subtypes under different conditions was conducted by SCENIC. Within tumor microenvironment, biological process activity analysis and cell–cell communication network were conducted to uncover the inner links between each cell subtype under different hypoxia status.ResultsDifferent types of tumor cell in GBM possessed different hypoxia status, and MES-like subtype was under a more severe hypoxia condition than other subtypes. Hypoxia also induced MES-like signature gene expression within each tumor cell, which could stimulate tumor cell proliferation and invasion by regulating cell–cell communication. Additionally, hypoxia inhibited immune cell activity in the tumor microenvironment by inducing macrophage phenotype polarization and upregulating immune-inhibited cell–cell interaction within immune cells. Interactions between tumor cells and immune cells under hypoxia status also promoted tumor progression.ConclusionsHypoxia was a poor prognostic marker for primary IDH-wt GBM patients. Meanwhile, it could induce tumor cells’ MES-like transformation trend and inhibit antitumor function of immune cells.</p

Image_1_Hypoxia Contributes to Poor Prognosis in Primary IDH-wt GBM by Inducing Tumor Cells MES-Like Transformation Trend and Inhibiting Immune Cells Activity.tif

AimsTo reveal the influence of hypoxia on tumor cells and immune cells in primary IDH-wt glioblastoma patients.MethodsSingle-cell RNA-seq data and bulk RNA-seq data were acquired from the Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) databases, respectively. Hypoxia status and subtypes of tumor cells were identified based on single-sample Gene Set Enrichment Analysis (ssGSEA). Regulon network analysis of different subtypes under different conditions was conducted by SCENIC. Within tumor microenvironment, biological process activity analysis and cell–cell communication network were conducted to uncover the inner links between each cell subtype under different hypoxia status.ResultsDifferent types of tumor cell in GBM possessed different hypoxia status, and MES-like subtype was under a more severe hypoxia condition than other subtypes. Hypoxia also induced MES-like signature gene expression within each tumor cell, which could stimulate tumor cell proliferation and invasion by regulating cell–cell communication. Additionally, hypoxia inhibited immune cell activity in the tumor microenvironment by inducing macrophage phenotype polarization and upregulating immune-inhibited cell–cell interaction within immune cells. Interactions between tumor cells and immune cells under hypoxia status also promoted tumor progression.ConclusionsHypoxia was a poor prognostic marker for primary IDH-wt GBM patients. Meanwhile, it could induce tumor cells’ MES-like transformation trend and inhibit antitumor function of immune cells.</p

Image_2_Hypoxia Contributes to Poor Prognosis in Primary IDH-wt GBM by Inducing Tumor Cells MES-Like Transformation Trend and Inhibiting Immune Cells Activity.tif

AimsTo reveal the influence of hypoxia on tumor cells and immune cells in primary IDH-wt glioblastoma patients.MethodsSingle-cell RNA-seq data and bulk RNA-seq data were acquired from the Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) databases, respectively. Hypoxia status and subtypes of tumor cells were identified based on single-sample Gene Set Enrichment Analysis (ssGSEA). Regulon network analysis of different subtypes under different conditions was conducted by SCENIC. Within tumor microenvironment, biological process activity analysis and cell–cell communication network were conducted to uncover the inner links between each cell subtype under different hypoxia status.ResultsDifferent types of tumor cell in GBM possessed different hypoxia status, and MES-like subtype was under a more severe hypoxia condition than other subtypes. Hypoxia also induced MES-like signature gene expression within each tumor cell, which could stimulate tumor cell proliferation and invasion by regulating cell–cell communication. Additionally, hypoxia inhibited immune cell activity in the tumor microenvironment by inducing macrophage phenotype polarization and upregulating immune-inhibited cell–cell interaction within immune cells. Interactions between tumor cells and immune cells under hypoxia status also promoted tumor progression.ConclusionsHypoxia was a poor prognostic marker for primary IDH-wt GBM patients. Meanwhile, it could induce tumor cells’ MES-like transformation trend and inhibit antitumor function of immune cells.</p

Additional file 2 of Multi-dimensional omics characterization in glioblastoma identifies the purity-associated pattern and prognostic gene signatures

Additional file 2: Figure S1. Relation between purity and IDH mutation status or MGMT promotor methylation status. Figure S2. The prognostic value of purity in stratified GBMs. Figure S3. The prognostic role of purity-associated risk score in CGGA or GSE4412 cohort. Figure S4. Unsupervised analyses of global transcriptional similarities and differences between two purity subgroups. Figure S5. Adjustment of purity in differentially expressed genes analysis. Figure S6. Enrichment of KEGG pathways in differentially methylated genes. Figure S7. Relation between purity and genomic alterations. Figure S8. GO enrichment analysis of differentially amplified genes or differentially deleted genes between purity subgroups. Figure S9. Correlation between tumor purity and genomic instability. Figure S10. Correlation between CYT and mutation abundance

Additional file 1 of Multi-dimensional omics characterization in glioblastoma identifies the purity-associated pattern and prognostic gene signatures

Additional file 1: Table S1. The purity values in TCGA-GBM cohort. Table S2. Cox proportional hazards model in TCGA-GBM cohort. Table S3. Differentially expressed genes between tumor and normal samples. Table S4. Expression of Immune checkpoint molecules before and after purity adjustment. Table S5. Differentially mutated gene frequency in oncogenic signaling pathways

Image3_Clinical characteristics, surgical management, and prognostic factors for supratentorial hemangioblastoma: A retrospective study.tif

BackgroundSupratentorial hemangioblastoma is an extremely rare neoplasm. The aim of this study is to delineate the clinical features among cystic and solid supratentorial hemangioblastoma patients and evaluate the risk factors for progression-free survival (PFS).MethodsWe conducted a literature search in PubMed for histopathologically identified supratentorial hemangioblastoma between 1947 and 2021 and extracted and collected the clinical features of patients treated at our own institute. The rate of PFS was determined using Kaplan–Meier analysis. Differences in categorical factors, such as the location of tumor and diagnosis of von Hippel–Lindau disease, were analyzed using the Pearson χ2 test. A Cox regression analysis was performed to evaluate the association between various variates and survival outcomes.ResultsA total of 237 cases of supratentorial hemangioblastoma were identified from 169 studies. A survival analysis found that patients with cystic tumors had a significantly better prognosis than those with solid tumors (log-rank, p = 0.0122). Cox regression analysis suggested that cystic hemangioblastoma (hazard ratio (HR): 0.186, 95% CI: 0.043–0.803, p ConclusionsCystic hemangioblastoma vs. solid hemangioblastoma may be two tumoral statuses with different clinical features, and a specific treatment strategy should be considered.</p