Comprehensive Analysis of m6A RNA Methylation Regulators in the Prognosis and Immune Microenvironment of Multiple Myeloma

BackgroundN6-methyladenosine is the most abundant RNA modification, which plays a prominent role in various biology processes, including tumorigenesis and immune regulation. Multiple myeloma (MM) is the second most frequent hematological malignancy.Materials and MethodsTwenty-two m6A RNA methylation...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Rui Liu, Ying Shen, Jinsong Hu, Xiaman Wang, Dong Wu, Meng Zhai, Ju Bai, Aili He
Formato:	article
Lenguaje:	EN
Publicado:	Frontiers Media S.A. 2021
Materias:	multiple myeloma m6A (N6-methyladenosine) RNA methylation immune infiltration survival Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282
Acceso en línea:	https://doaj.org/article/3c7b5ba13ea542ff81c62e266b4a5283
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:3c7b5ba13ea542ff81c62e266b4a5283
record_format	dspace
spelling	oai:doaj.org-article:3c7b5ba13ea542ff81c62e266b4a52832021-11-04T05:55:28ZComprehensive Analysis of m6A RNA Methylation Regulators in the Prognosis and Immune Microenvironment of Multiple Myeloma2234-943X10.3389/fonc.2021.731957https://doaj.org/article/3c7b5ba13ea542ff81c62e266b4a52832021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fonc.2021.731957/fullhttps://doaj.org/toc/2234-943XBackgroundN6-methyladenosine is the most abundant RNA modification, which plays a prominent role in various biology processes, including tumorigenesis and immune regulation. Multiple myeloma (MM) is the second most frequent hematological malignancy.Materials and MethodsTwenty-two m6A RNA methylation regulators were analyzed between MM patients and normal samples. Kaplan–Meier survival analysis and least absolute shrinkage and selection operator (LASSO) Cox regression analysis were employed to construct the risk signature model. Receiver operation characteristic (ROC) curves were used to verify the prognostic and diagnostic efficiency. Immune infiltration level was evaluated by ESTIMATE algorithm and immune-related single-sample gene set enrichment analysis (ssGSEA).ResultsHigh expression of HNRNPC, HNRNPA2B1, and YTHDF2 and low expression of ZC3H13 were associated with poor survival. Based on these four genes, a prognostic risk signature model was established. Multivariate Cox regression analysis demonstrated that the risk score was an independent prognostic factor of MM. Enrichment analysis showed that cell cycle, immune response, MYC, proteasome, and unfold protein reaction were enriched in high-risk MM patients. Furthermore, patients with higher risk score exhibited lower immune scores and lower immune infiltration level.ConclusionThe m6A-based prognostic risk score accurately and robustly predicts the survival of MM patients and is associated with the immune infiltration level, which complements current prediction models and enhances our cognition of immune infiltration.Rui LiuYing ShenJinsong HuXiaman WangDong WuMeng ZhaiJu BaiAili HeAili HeFrontiers Media S.A.articlemultiple myelomam6A (N6-methyladenosine)RNA methylationimmune infiltrationsurvivalNeoplasms. Tumors. Oncology. Including cancer and carcinogensRC254-282ENFrontiers in Oncology, Vol 11 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	multiple myeloma m6A (N6-methyladenosine) RNA methylation immune infiltration survival Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282
spellingShingle	multiple myeloma m6A (N6-methyladenosine) RNA methylation immune infiltration survival Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282 Rui Liu Ying Shen Jinsong Hu Xiaman Wang Dong Wu Meng Zhai Ju Bai Aili He Aili He Comprehensive Analysis of m6A RNA Methylation Regulators in the Prognosis and Immune Microenvironment of Multiple Myeloma
description	BackgroundN6-methyladenosine is the most abundant RNA modification, which plays a prominent role in various biology processes, including tumorigenesis and immune regulation. Multiple myeloma (MM) is the second most frequent hematological malignancy.Materials and MethodsTwenty-two m6A RNA methylation regulators were analyzed between MM patients and normal samples. Kaplan–Meier survival analysis and least absolute shrinkage and selection operator (LASSO) Cox regression analysis were employed to construct the risk signature model. Receiver operation characteristic (ROC) curves were used to verify the prognostic and diagnostic efficiency. Immune infiltration level was evaluated by ESTIMATE algorithm and immune-related single-sample gene set enrichment analysis (ssGSEA).ResultsHigh expression of HNRNPC, HNRNPA2B1, and YTHDF2 and low expression of ZC3H13 were associated with poor survival. Based on these four genes, a prognostic risk signature model was established. Multivariate Cox regression analysis demonstrated that the risk score was an independent prognostic factor of MM. Enrichment analysis showed that cell cycle, immune response, MYC, proteasome, and unfold protein reaction were enriched in high-risk MM patients. Furthermore, patients with higher risk score exhibited lower immune scores and lower immune infiltration level.ConclusionThe m6A-based prognostic risk score accurately and robustly predicts the survival of MM patients and is associated with the immune infiltration level, which complements current prediction models and enhances our cognition of immune infiltration.
format	article
author	Rui Liu Ying Shen Jinsong Hu Xiaman Wang Dong Wu Meng Zhai Ju Bai Aili He Aili He
author_facet	Rui Liu Ying Shen Jinsong Hu Xiaman Wang Dong Wu Meng Zhai Ju Bai Aili He Aili He
author_sort	Rui Liu
title	Comprehensive Analysis of m6A RNA Methylation Regulators in the Prognosis and Immune Microenvironment of Multiple Myeloma
title_short	Comprehensive Analysis of m6A RNA Methylation Regulators in the Prognosis and Immune Microenvironment of Multiple Myeloma
title_full	Comprehensive Analysis of m6A RNA Methylation Regulators in the Prognosis and Immune Microenvironment of Multiple Myeloma
title_fullStr	Comprehensive Analysis of m6A RNA Methylation Regulators in the Prognosis and Immune Microenvironment of Multiple Myeloma
title_full_unstemmed	Comprehensive Analysis of m6A RNA Methylation Regulators in the Prognosis and Immune Microenvironment of Multiple Myeloma
title_sort	comprehensive analysis of m6a rna methylation regulators in the prognosis and immune microenvironment of multiple myeloma
publisher	Frontiers Media S.A.
publishDate	2021
url	https://doaj.org/article/3c7b5ba13ea542ff81c62e266b4a5283
work_keys_str_mv	AT ruiliu comprehensiveanalysisofm6arnamethylationregulatorsintheprognosisandimmunemicroenvironmentofmultiplemyeloma AT yingshen comprehensiveanalysisofm6arnamethylationregulatorsintheprognosisandimmunemicroenvironmentofmultiplemyeloma AT jinsonghu comprehensiveanalysisofm6arnamethylationregulatorsintheprognosisandimmunemicroenvironmentofmultiplemyeloma AT xiamanwang comprehensiveanalysisofm6arnamethylationregulatorsintheprognosisandimmunemicroenvironmentofmultiplemyeloma AT dongwu comprehensiveanalysisofm6arnamethylationregulatorsintheprognosisandimmunemicroenvironmentofmultiplemyeloma AT mengzhai comprehensiveanalysisofm6arnamethylationregulatorsintheprognosisandimmunemicroenvironmentofmultiplemyeloma AT jubai comprehensiveanalysisofm6arnamethylationregulatorsintheprognosisandimmunemicroenvironmentofmultiplemyeloma AT ailihe comprehensiveanalysisofm6arnamethylationregulatorsintheprognosisandimmunemicroenvironmentofmultiplemyeloma AT ailihe comprehensiveanalysisofm6arnamethylationregulatorsintheprognosisandimmunemicroenvironmentofmultiplemyeloma
_version_	1718445202693160960

Comprehensive Analysis of m6A RNA Methylation Regulators in the Prognosis and Immune Microenvironment of Multiple Myeloma

Ejemplares similares