Analysis of m6A modulator-mediated methylation modification patterns and the tumor microenvironment in lung adenocarcinoma

Abstract Lung adenocarcinoma (LUAD) is the most common histological subtype of lung cancer. In the development and progression of LUAD, epigenetic aberration plays a crucial role. However, the function of RNA N6-methyladenosine (m6A) modifications in the LUAD progression is unknown. The m6A regulato...

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Main Authors: Qing-Cui Zeng, Qin Sun, Wen-Jie Su, Jia-Cen Li, Yi-Sha Liu, Kun Zhang, Li-Qing Yang
Format: Article
Language:English
Published: Nature Portfolio 2022-11-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-022-20730-6
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author Qing-Cui Zeng
Qin Sun
Wen-Jie Su
Jia-Cen Li
Yi-Sha Liu
Kun Zhang
Li-Qing Yang
author_facet Qing-Cui Zeng
Qin Sun
Wen-Jie Su
Jia-Cen Li
Yi-Sha Liu
Kun Zhang
Li-Qing Yang
author_sort Qing-Cui Zeng
collection DOAJ
description Abstract Lung adenocarcinoma (LUAD) is the most common histological subtype of lung cancer. In the development and progression of LUAD, epigenetic aberration plays a crucial role. However, the function of RNA N6-methyladenosine (m6A) modifications in the LUAD progression is unknown. The m6A regulator modification patterns in 955 LUAD samples were analyzed comprehensively. Patterns were systematically correlated with the tumor microenvironment (TME) cell-infiltration characteristics. Using principal component analysis algorithms, the m6Ascore was generated to quantify m6A modification patterns in individual tumors. Then, their values for predicting prognoses and therapeutic response in LUAD patients were assessed. Three distinct m6A modification patterns in LUAD were identified. Among them, the prognosis of m6Acluster C was the best, while the prognosis of m6Acluster A was the worst. Interestingly, the characterization of TME cell infiltration and biological behavior differed among the three patterns. To evaluate m6A modification patterns within individual tumors, an m6Ascore signature was constructed. The results showed that the high m6Ascore group was associated with a better prognosis; tumor somatic mutations and tumor microenvironment differed significantly between the high- and low- m6Ascore groups. Furthermore, in the cohort with anti-CTLA-4 treatment alone, patients with a high m6Ascore had higher ICI scores, which indicated significant therapeutic advantage and clinical benefits.
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spelling doaj.art-1ef5afd755084075a4a2bcbd662b59ff2022-12-22T03:48:29ZengNature PortfolioScientific Reports2045-23222022-11-0112111210.1038/s41598-022-20730-6Analysis of m6A modulator-mediated methylation modification patterns and the tumor microenvironment in lung adenocarcinomaQing-Cui Zeng0Qin Sun1Wen-Jie Su2Jia-Cen Li3Yi-Sha Liu4Kun Zhang5Li-Qing Yang6Department of Geriatric Intensive Care Unit, Sichuan Academy of Medical Sciences and Sichuan Provincial People’s HospitalDepartment of Geriatric Intensive Care Unit, Sichuan Academy of Medical Sciences and Sichuan Provincial People’s HospitalDepartment of Anesthesiology, Sichuan Academy of Medical Sciences and Sichuan Provincial People’s HospitalDepartment of Anesthesiology, Sichuan Academy of Medical Sciences and Sichuan Provincial People’s HospitalDepartment of Pathology, Sichuan Academy of Medical Sciences and Sichuan Provincial People’s HospitalDepartment of Chest Surgery, Sichuan Academy of Medical Sciences and Sichuan Provincial People’s HospitalDepartment of Respiratory Medicine, Eastern Hospital, Sichuan Academy of Medical Sciences, Sichuan Provincial People’s Hospital, Sichuan ProvinceAbstract Lung adenocarcinoma (LUAD) is the most common histological subtype of lung cancer. In the development and progression of LUAD, epigenetic aberration plays a crucial role. However, the function of RNA N6-methyladenosine (m6A) modifications in the LUAD progression is unknown. The m6A regulator modification patterns in 955 LUAD samples were analyzed comprehensively. Patterns were systematically correlated with the tumor microenvironment (TME) cell-infiltration characteristics. Using principal component analysis algorithms, the m6Ascore was generated to quantify m6A modification patterns in individual tumors. Then, their values for predicting prognoses and therapeutic response in LUAD patients were assessed. Three distinct m6A modification patterns in LUAD were identified. Among them, the prognosis of m6Acluster C was the best, while the prognosis of m6Acluster A was the worst. Interestingly, the characterization of TME cell infiltration and biological behavior differed among the three patterns. To evaluate m6A modification patterns within individual tumors, an m6Ascore signature was constructed. The results showed that the high m6Ascore group was associated with a better prognosis; tumor somatic mutations and tumor microenvironment differed significantly between the high- and low- m6Ascore groups. Furthermore, in the cohort with anti-CTLA-4 treatment alone, patients with a high m6Ascore had higher ICI scores, which indicated significant therapeutic advantage and clinical benefits.https://doi.org/10.1038/s41598-022-20730-6
spellingShingle Qing-Cui Zeng
Qin Sun
Wen-Jie Su
Jia-Cen Li
Yi-Sha Liu
Kun Zhang
Li-Qing Yang
Analysis of m6A modulator-mediated methylation modification patterns and the tumor microenvironment in lung adenocarcinoma
Scientific Reports
title Analysis of m6A modulator-mediated methylation modification patterns and the tumor microenvironment in lung adenocarcinoma
title_full Analysis of m6A modulator-mediated methylation modification patterns and the tumor microenvironment in lung adenocarcinoma
title_fullStr Analysis of m6A modulator-mediated methylation modification patterns and the tumor microenvironment in lung adenocarcinoma
title_full_unstemmed Analysis of m6A modulator-mediated methylation modification patterns and the tumor microenvironment in lung adenocarcinoma
title_short Analysis of m6A modulator-mediated methylation modification patterns and the tumor microenvironment in lung adenocarcinoma
title_sort analysis of m6a modulator mediated methylation modification patterns and the tumor microenvironment in lung adenocarcinoma
url https://doi.org/10.1038/s41598-022-20730-6
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