Frontiers in immunology · 2022
The Non-N6-Methyladenosine Epitranscriptome Patterns and Characteristics of Tumor Microenvironment Infiltration and Mesenchymal Transition in Glioblastoma.
СтатьяПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод в очереди
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Xu Jianye, Gao Zijie, Liu Kaining, Fan Yang, Zhang Zongpu, Xue Hao, Guo Xing, Zhang Ping, Deng Lin, Wang Shaobo, Wang Huizhi, Wang Qingtong, Zhao Rongrong, Li Gang
Аннотация
BACKGROUND: An increasing number of RNA modification types other than N6-methyladenosine (m6A) modification have been detected. Nonetheless, the probable functions of RNA modifications beyond m6A in the tumor microenvironment (TME), mesenchymal (MES) transition, immunotherapy, and drug sensitivity remain unclear.
METHODS: We analyzed the characteristics of 32 non-m6A RNA modification regulators in 539 glioblastoma (GBM) patients and the TME cell infiltration and MES transition patterns. Using principal component analysis, a non-m6A epitranscriptome regulator score (RM score) model was established. We estimated the association between RM score and clinical characteristics, TME status, GBM subtypes, and drug and immunotherapy response.
RESULTS: Three definite non-m6A RNA modification patterns associated with diverse biological pathways and clinical characteristics were identified. The high RM score group was characterized by a poor prognosis, enhanced immune infiltration, and MES subtype. Further analysis indicated that the high RM score group had a lower tumor mutation burden as well as a weaker response to immunotherapy. The higher RM score group may benefit more from drugs targeting the EGFR and WNT signaling pathways.
CONCLUSION: Our study exposed the potential relationship of non-m6A RNA modification regulators with clinical features, TME status, and GBM subtype and clarified its therapeutic value.
METHODS: We analyzed the characteristics of 32 non-m6A RNA modification regulators in 539 glioblastoma (GBM) patients and the TME cell infiltration and MES transition patterns. Using principal component analysis, a non-m6A epitranscriptome regulator score (RM score) model was established. We estimated the association between RM score and clinical characteristics, TME status, GBM subtypes, and drug and immunotherapy response.
RESULTS: Three definite non-m6A RNA modification patterns associated with diverse biological pathways and clinical characteristics were identified. The high RM score group was characterized by a poor prognosis, enhanced immune infiltration, and MES subtype. Further analysis indicated that the high RM score group had a lower tumor mutation burden as well as a weaker response to immunotherapy. The higher RM score group may benefit more from drugs targeting the EGFR and WNT signaling pathways.
CONCLUSION: Our study exposed the potential relationship of non-m6A RNA modification regulators with clinical features, TME status, and GBM subtype and clarified its therapeutic value.
Предметные рубрики MeSH
AdenosineBiomarkers, TumorCell Line, TumorClinical Trials as TopicEpigenesis, GeneticEpithelial-Mesenchymal TransitionGene Expression ProfilingGene Expression Regulation, NeoplasticGenetic VariationGlioblastomaHumansLymphocytes, Tumor-InfiltratingPrognosisTranscriptomeTumor MicroenvironmentTumor-Associated Macrophages