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ARTICLE

Elucidating the clinical and immunological value of m6A regulator-mediated methylation modification patterns in adrenocortical carcinoma

by WENHAO XU^1,#, HAOMING LI^2,#, YASIR HAMEED³, MOSTAFA A. ABDEL-MAKSOUD⁴, SAEEDAH MUSAED ALMUTAIRI⁴, AYMAN MUBARAK⁴, MOHAMMED AUFY⁵, WAEL ALTURAIKI⁶, ABDULAZIZ J. ALSHALANI⁶, AYMAN M. MAHMOUD^7,*, CHEN LI^8,*

1 Department of Urology, Urological Surgery Research Institute, First Affiliated Hospital, Army Medical University (Third Military Medical University), Chongqing, China
2 Department of Urology, Affiliated Hospital of Guilin Medical University, Guilin, China
3 Department of Applied Biological Sciences, Tokyo University of Science, Tokyo, Japan
4 Department of Botany and Microbiology, College of Science, King Saud University, Riyadh, Saudi Arabia
5 Department of Pharmaceutical Sciences, Division of Pharmacology and Toxicology, University of Vienna, Vienna, Austria
6 Department of Medical Laboratory Sciences, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia
7 Department of Life Sciences, Faculty of Science and Engineering, Manchester Metropolitan University, Manchester, UK
8 Department of Biology, Chemistry, Pharmacy, Free University of Berlin, Berlin, Germany

* Corresponding Authors: AYMAN M. MAHMOUD. Email: ; CHEN LI. Email:
# These authors have contributed equally to this work

(This article belongs to the Special Issue: Cancer Metastasis)

Oncology Research 2023, 31(5), 819-831. https://doi.org/10.32604/or.2023.029414

Received 17 February 2023; Accepted 26 April 2023; Issue published 21 July 2023

Abstract

N6-methyladenosine methylation (m6A) is a common type of epigenetic alteration that prominently affects the prognosis of tumor patients. However, it is unknown how the m6A regulator affects the tumor microenvironment (TME) cell infiltration in adrenocortical carcinoma (ACC) and how it affects the prognosis of ACC patients yet. The m6A alteration patterns of 112 ACC patients were evaluated, furthermore, the association with immune infiltration cell features was investigated. The unsupervised clustering method was applied to typify the m6A alteration patterns of ACC patients. The principal component analysis (PCA) technique was taken to create the m6A score to assess the alteration pattern in specific malignancies. We found two independent patterns of m6A alteration in ACC patients. The TME cell infiltration features were significantly in accordance with phenotypes of tumor immune-inflamed and immune desert in both patterns. The m6Ascore also served as an independent predictive factor in ACC patients. The somatic copy number variation (CNV) and patients prognosis can be predicted by m6A alteration patterns. Moreover, the ACC patients with high m6A scores had better overall survival (OS) and higher efficiency in immune checkpoint blockade therapy. Our work demonstrated the significance of m6A alteration to the ACC patients immunotherapy. The individual m6A alteration patterns analysis might contribute to ACC patients prognosis prediction and immunotherapy choice.

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Supplementary Material

Supplementary Material File

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