Objective: Glioblastoma(GBM) is the most common primary malignant brain tumor regulated by numerous genes, with poor survival outcomes and unsatisfactory response to therapy.Therefore, a robust, multi-gene signature-d...Objective: Glioblastoma(GBM) is the most common primary malignant brain tumor regulated by numerous genes, with poor survival outcomes and unsatisfactory response to therapy.Therefore, a robust, multi-gene signature-derived model is required to predict the prognosis and treatment response in GBM.Methods: Gene expression data of GBM from TCGA and GEO datasets were used to identify differentially expressed genes(DEGs)through DESeq2 or LIMMA methods.The DEGs were then overlapped and used for survival analysis by univariate and multivariate COX regression.Based on the gene signature of multiple survival-associated DEGs, a risk score model was established,and its prognostic and predictive role was estimated through Kaplan–Meier analysis and log-rank test.Gene set enrichment analysis(GSEA) was conducted to explore high-risk score-associated pathways.Western blot was used for protein detection.Results: Four survival-associated DEGs of GBM were identified: OSMR, HOXC10, SCARA3, and SLC39A10.The four-gene signature-derived risk score was higher in GBM than in normal brain tissues.GBM patients with a high-risk score had poor survival outcomes.The high-risk group treated with temozolomide chemotherapy or radiotherapy survived for a shorter duration than the low-risk group.GSEA showed that the high-risk score was enriched with pathways such as vasculature development and cell adhesion.Western blot confirmed that the proteins of these four genes were differentially expressed in GBM cells.Conclusions: The four-gene signature-derived risk score functions well in predicting the prognosis and treatment response in GBM and will be useful for guiding therapeutic strategies for GBM patients.展开更多
Medulloblastoma(MB)is one of the most common childhood malignant brain tumors(WHO grade IV),traditionally divided into WNT,SHH,Group 3,and Group 4 subgroups based on the transcription profiles,somatic DNA alterations,...Medulloblastoma(MB)is one of the most common childhood malignant brain tumors(WHO grade IV),traditionally divided into WNT,SHH,Group 3,and Group 4 subgroups based on the transcription profiles,somatic DNA alterations,and clinical outcomes.Unlike WNT and SHH subgroup MBs,Group 3 and Group 4 MBs have similar transcriptomes and lack clearly specific drivers and targeted therapeutic options.The recently revised WHO Classification of CNS Tumors has assigned Group 3 and 4 to a provisional non-WNT/SHH entity.In the present study,we demonstrate that Kir2.1,an inwardly-rectifying potassium channel,is highly expressed in non-WNT/SHH MBs,which promotes tumor cell invasion and metastasis by recruiting Adam10 to enhance S2 cleavage of Notch2 thereby activating the Notch2 signaling pathway.Disruption of the Notch2 pathway markedly inhibited the growth and metastasis of Kir2.1-overexpressing MB cell-derived xenograft tumors in mice.Moreover,Kir2.1^(high)/nuclear N2ICD^(high)MBs are associated with the significantly shorter lifespan of the patients.Thus,Kir2.1^(high)/nuclear N2ICD^(high)can be used as a biomarker to define a novel subtype of non-WNT/SHH MBs.Our findings are important for the modification of treatment regimens and the development of novel-targeted therapies for non-WNT/SHH MBs.展开更多
基金supported by the National Key R&D Program of China (Grant No.2016YFA0101203 to XB and 2016YFC1201801 to XZ)the National Natural Science Foundation of China (Grant No.81372273 and 81773145 to XZ)+1 种基金the funding from Key Laboratory of Tumor Immunology and Pathology (Army Medical University), Ministry of Education of China (Grant No.2017jszl09 to MC)the Basic and Applied Fund of First Affiliated Hospital of Army Military Medical University (Grant No.SWH2016BZGFSBJ-04 and SWH2016JCZD-04 to XZ)
文摘Objective: Glioblastoma(GBM) is the most common primary malignant brain tumor regulated by numerous genes, with poor survival outcomes and unsatisfactory response to therapy.Therefore, a robust, multi-gene signature-derived model is required to predict the prognosis and treatment response in GBM.Methods: Gene expression data of GBM from TCGA and GEO datasets were used to identify differentially expressed genes(DEGs)through DESeq2 or LIMMA methods.The DEGs were then overlapped and used for survival analysis by univariate and multivariate COX regression.Based on the gene signature of multiple survival-associated DEGs, a risk score model was established,and its prognostic and predictive role was estimated through Kaplan–Meier analysis and log-rank test.Gene set enrichment analysis(GSEA) was conducted to explore high-risk score-associated pathways.Western blot was used for protein detection.Results: Four survival-associated DEGs of GBM were identified: OSMR, HOXC10, SCARA3, and SLC39A10.The four-gene signature-derived risk score was higher in GBM than in normal brain tissues.GBM patients with a high-risk score had poor survival outcomes.The high-risk group treated with temozolomide chemotherapy or radiotherapy survived for a shorter duration than the low-risk group.GSEA showed that the high-risk score was enriched with pathways such as vasculature development and cell adhesion.Western blot confirmed that the proteins of these four genes were differentially expressed in GBM cells.Conclusions: The four-gene signature-derived risk score functions well in predicting the prognosis and treatment response in GBM and will be useful for guiding therapeutic strategies for GBM patients.
基金the National Key Research and Development Program of China(2016YFA0101203 to XW Bian and 2017YFC1309004 to Y Wang)the National Natural Science Foundation of China(31991172,81821003 to X.-W.Bian,81402080 to Y.-X.Wang)Chongqing Basic and Frontier Research Project(cstc2018jcyjAX0406 to Y.-X.Wang and cstc2018jcyjAX0168 to S.-Q.Lv).
文摘Medulloblastoma(MB)is one of the most common childhood malignant brain tumors(WHO grade IV),traditionally divided into WNT,SHH,Group 3,and Group 4 subgroups based on the transcription profiles,somatic DNA alterations,and clinical outcomes.Unlike WNT and SHH subgroup MBs,Group 3 and Group 4 MBs have similar transcriptomes and lack clearly specific drivers and targeted therapeutic options.The recently revised WHO Classification of CNS Tumors has assigned Group 3 and 4 to a provisional non-WNT/SHH entity.In the present study,we demonstrate that Kir2.1,an inwardly-rectifying potassium channel,is highly expressed in non-WNT/SHH MBs,which promotes tumor cell invasion and metastasis by recruiting Adam10 to enhance S2 cleavage of Notch2 thereby activating the Notch2 signaling pathway.Disruption of the Notch2 pathway markedly inhibited the growth and metastasis of Kir2.1-overexpressing MB cell-derived xenograft tumors in mice.Moreover,Kir2.1^(high)/nuclear N2ICD^(high)MBs are associated with the significantly shorter lifespan of the patients.Thus,Kir2.1^(high)/nuclear N2ICD^(high)can be used as a biomarker to define a novel subtype of non-WNT/SHH MBs.Our findings are important for the modification of treatment regimens and the development of novel-targeted therapies for non-WNT/SHH MBs.