Background:Glioblastoma multiforme(GBM)is a kind of extremely malignant brain tumor with a poor prognosis.The problem of high recurrence rates and drug resistance has been difficult to solve.Cuproptosis is a newly dis...Background:Glioblastoma multiforme(GBM)is a kind of extremely malignant brain tumor with a poor prognosis.The problem of high recurrence rates and drug resistance has been difficult to solve.Cuproptosis is a newly discovered mode of cell death,which is related to the occurrence and progression of GBM.Methods:We screened TCGA and GEO databases to comprehensively analyze the regulation patterns of cuproptosis in GBM based on cuproptosis-related genes(CRGs).The expression levels,copy number variants(CNV),and mutation of CRGs in GBM were probed.Different regulation patterns of cuproptosis were identified and performed GSVA analysis.Then we constructed a prognostic model based on genes that were differentially expressed in all regulation patterns.The immune cells and tumor microenvironment in different risk groups were compared.Finally,the potential therapeutic drugs were predicted.Results:We identified two key differentially expressed genes under different regulation patterns of cuproptosis and constructed a risk prognostic model.There were significant differences in immune infiltration and drug sensitivity between high and low risk groups.Conclusions:We established a risk prognostic model based on two genes and explored its relationship with immune characteristics,which might help to assess the prognosis and treatment sensitivity to immune and targeted therapy of GBM patients.展开更多
文摘Background:Glioblastoma multiforme(GBM)is a kind of extremely malignant brain tumor with a poor prognosis.The problem of high recurrence rates and drug resistance has been difficult to solve.Cuproptosis is a newly discovered mode of cell death,which is related to the occurrence and progression of GBM.Methods:We screened TCGA and GEO databases to comprehensively analyze the regulation patterns of cuproptosis in GBM based on cuproptosis-related genes(CRGs).The expression levels,copy number variants(CNV),and mutation of CRGs in GBM were probed.Different regulation patterns of cuproptosis were identified and performed GSVA analysis.Then we constructed a prognostic model based on genes that were differentially expressed in all regulation patterns.The immune cells and tumor microenvironment in different risk groups were compared.Finally,the potential therapeutic drugs were predicted.Results:We identified two key differentially expressed genes under different regulation patterns of cuproptosis and constructed a risk prognostic model.There were significant differences in immune infiltration and drug sensitivity between high and low risk groups.Conclusions:We established a risk prognostic model based on two genes and explored its relationship with immune characteristics,which might help to assess the prognosis and treatment sensitivity to immune and targeted therapy of GBM patients.
