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Hang Ji

Researcher at Harbin Medical University

Publications -  21
Citations -  155

Hang Ji is an academic researcher from Harbin Medical University. The author has contributed to research in topics: Medicine & Biology. The author has an hindex of 3, co-authored 5 publications receiving 36 citations. Previous affiliations of Hang Ji include Peking Union Medical College.

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m6A regulator-mediated methylation modification patterns and characteristics of immunity and stemness in low-grade glioma

TL;DR: In this article, the m6A RNA methylation is used to predict the molecular subtypes of low-grade glioma, the abundance of immune infiltration, the enrichment of signaling pathways, gene variation and prognosis.
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Malignant Evaluation and Clinical Prognostic Values of m6A RNA Methylation Regulators in Glioblastoma.

TL;DR: It is revealed that the 13 central m6A RNA methylation regulators were firmly related to the clinical and molecular phenotype of GBM, and are a type of vital participant in the malignant progression ofGBM, with a critical potential in the prognostic stratification and treatment strategies of G BM.
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Identification of Prognostic Model and Biomarkers for Cancer Stem Cell Characteristics in Glioblastoma by Network Analysis of Multi-Omics Data and Stemness Indices.

TL;DR: Survival analysis and experimental data confirmed that the five hub genes could be used as markers for poor prognosis of GBM, and the results based on an in vivo xenograft model are consistent with the finding that knockdown of the hub gene inhibits the growth of GSCs in vitro.
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5-Methylcytosine Related LncRNAs Reveal Immune Characteristics, Predict Prognosis and Oncology Treatment Outcome in Lower-Grade Gliomas

TL;DR: The results revealed the molecular basis of LGG, provided valuable clues for the understanding of m5C-related lncRNAs, and filled a gap between epigenetics and tumor microenvironment.
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Recognition of Tumor-Associated Antigens and Immune Subtypes in Glioma for mRNA Vaccine Development.

TL;DR: Wang et al. as discussed by the authors identified four overexpressed and mutated tumor antigens associated with poor prognosis and infiltration of antigen presenting cells, including TP53, IDH1, C3, and TCF12, and four immune subtypes of glioma (IS1-IS4 and 10 immune gene modules were identified consistently in the TCGA data.