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The Impact of m1A Methylation Modification Patterns on Tumor Immune Microenvironment and Prognosis in Oral Squamous Cell Carcinoma
by
Sugimoto, Masahiro
, Mizuta, Masanobu
, Omori, Koichi
, Gao, Li
, Chen, Ru
, Kishimoto, Yo
in
Apoptosis
/ Cancer
/ Cell cycle
/ Lymphatic system
/ Lymphocytes
/ Medical prognosis
/ Metabolism
/ Metastasis
/ Mutation
/ Oral cancer
/ Proteins
/ Squamous cell carcinoma
2021
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The Impact of m1A Methylation Modification Patterns on Tumor Immune Microenvironment and Prognosis in Oral Squamous Cell Carcinoma
by
Sugimoto, Masahiro
, Mizuta, Masanobu
, Omori, Koichi
, Gao, Li
, Chen, Ru
, Kishimoto, Yo
in
Apoptosis
/ Cancer
/ Cell cycle
/ Lymphatic system
/ Lymphocytes
/ Medical prognosis
/ Metabolism
/ Metastasis
/ Mutation
/ Oral cancer
/ Proteins
/ Squamous cell carcinoma
2021
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The Impact of m1A Methylation Modification Patterns on Tumor Immune Microenvironment and Prognosis in Oral Squamous Cell Carcinoma
by
Sugimoto, Masahiro
, Mizuta, Masanobu
, Omori, Koichi
, Gao, Li
, Chen, Ru
, Kishimoto, Yo
in
Apoptosis
/ Cancer
/ Cell cycle
/ Lymphatic system
/ Lymphocytes
/ Medical prognosis
/ Metabolism
/ Metastasis
/ Mutation
/ Oral cancer
/ Proteins
/ Squamous cell carcinoma
2021
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The Impact of m1A Methylation Modification Patterns on Tumor Immune Microenvironment and Prognosis in Oral Squamous Cell Carcinoma
Journal Article
The Impact of m1A Methylation Modification Patterns on Tumor Immune Microenvironment and Prognosis in Oral Squamous Cell Carcinoma
2021
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Overview
N1-methyladenosine (m1A) modification widely participates in the occurrence and progression of numerous diseases. Nevertheless, the potential roles of m1A in the tumor immune microenvironment (TIME) are still not fully understood. Based on 10 m1A methylation regulators, we comprehensively explored the m1A modification patterns in 502 patients with oral squamous cell carcinoma (OSCC). The m1A modification patterns were correlated with TIME characteristics and the m1A score was established to evaluate the effect of the m1A modification patterns on individual OSCC patients. The TIME characteristics and survival outcomes under the three m1A modification patterns were significantly distinct. OSCC patients in the high m1A score group were characterized by poorer prognosis, lower immune infiltration, lower ssGSEA score, lower expression levels of immune checkpoint molecules, and higher tumor mutation loads. The present study revealed that m1A modification might be associated with the TIME in OSCC, and has potential predictive ability for the prognosis of OSCC.
Publisher
MDPI AG,MDPI
Subject
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