Evidence map›Paper›PMID 36777864›Full record

ArticleAmerican journal of translational research2023

Integrative analyses reveal prognostic and immunogenic characteristics of m7G methylation regulators in patients with glioma.

Lingwei Tang, Yanyan Li, Lin Shen, Na Li, Liangfang Shen, Zhanzhan Li

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Article in American journal of translational research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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3 · Its place in the literature

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2 citing papers in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Lingwei TangDepartment of Oncology, Xiangya Hospital, Central South University Changsha 410008, Hunan, P. R. China.
Yanyan LiDepartment of Nursing, Xiangya Hospital, Central South University Changsha 410008, Hunan, P. R. China.
Lin ShenDepartment of Oncology, Xiangya Hospital, Central South University Changsha 410008, Hunan, P. R. China.
Na LiDepartment of Oncology, Xiangya Hospital, Central South University Changsha 410008, Hunan, P. R. China.
Liangfang ShenDepartment of Oncology, Xiangya Hospital, Central South University Changsha 410008, Hunan, P. R. China.
Zhanzhan LiDepartment of Oncology, Xiangya Hospital, Central South University Changsha 410008, Hunan, P. R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe expression profiles, biological mechanisms, and clinical relevance of m7G regulators in glioma were studied in this research.

methodsBased on the Chinese Glioma Genome Atlas (CGGA) and The Cancer Genome Atlas (TCGA) datasets, glioma patients, can be categorized into three groups according to 29 m7G regulators, and different subtypes of glioma show different immune cell infiltration characteristics, function enrichment, and clinical prognosis. Three gene clusters were confirmed by utilizing the differentially expressed genes (DEGs) across the three m7G clusters.

resultsA prognostic signature based on 12 m7G regulators was established and validated, producing an effective tool for predicting overall survival (OS) in glioma patients. High m7G scores indicated elevated tumor mutation burden and activation of immunity, suggesting an inflamed tumor microenvironment phenotype with poor overall survival. Low m7G scores characterized by a lack of immune infiltration and low mutation burden indicated a non-inflamed phenotype with a favorable clinical prognosis. It was also found that the m7G risk scores can affect chemotherapy sensitivity and prognosis of patients who received immunotherapy. The hub gene

conclusionsThe m7G prognostic signature can be a biomarker of the overall survival of patients with glioma. An initial

Indexed as

gliomaimmune infiltrationimmunotherapym7G methylationprognosis

Identifiers

PMID36777864
PMCPMC9908444

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