Research Paper Volume 14, Issue 15 pp 6269—6298

The comprehensive expression and functional analysis of m6A modification “readers” in hepatocellular carcinoma

Sha Qin1,2, , Gaoming Liu3, , Haoer Jin1,2, , Xue Chen7, , Jiang He5, , Juxiong Xiao4, , Yan Qin4, , Yitao Mao4,6, , Luqing Zhao1,2,6, ,

  • 1 Department of Pathology, Xiangya Hospital, Central South University, Changsha, Hunan, China
  • 2 Department of Pathology, School of Basic Medical Science, Xiangya School of Medicine, Central South University, Changsha, Hunan, China
  • 3 Xiangya School of Medicine, Central South University, Changsha, Hunan, China
  • 4 Department of Radiology, Xiangya Hospital, Central South University, Changsha, Hunan, China
  • 5 Center for Molecular Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, China
  • 6 National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China
  • 7 Early Clinical Trial Center, Hunan Cancer Hospital and The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, Hunan, China

Received: April 1, 2022       Accepted: July 21, 2022       Published: August 12, 2022      

https://doi.org/10.18632/aging.204217
How to Cite

Copyright: © 2022 Qin et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

N6-methyladenosine (m6A) modification regulators are essential for the diagnosis and treatment of various cancers. However, the comprehensive analysis about roles of m6A “readers” in hepatocellular carcinoma (HCC) remains unclear. UALCAN, GEPIA2, HPA, Kaplan Meier plotter, cBioPortal, STRING WebGestalt, Metascape and TIMER 2.0 database and Cytoscape software were used to comprehensively analyze the bioinformatic data. We found that m6A “readers” were upregulated at the mRNA level and protein level in HCC patients. Highly expressed YTHDF1, IGF2BP3 and NKAP were positively correlated with advanced HCC stage and had a poor prognosis in OS and PFS. The gene alterations of m6A “readers” happened frequently, and YTHDF3 had the highest mutation rate. The function of m6A “readers” on HCC may be closely correlated with splicing related proteins (including HNRNP family, SNRP family, and SR family), metabolic process, protein binding and RNA splicing related signaling pathways. Moreover, although the correlation of YTHDF3 and CD8+ T cell infiltration, and the correlation of IGF2BP3 and infiltration of mast cells and CAF are negative, most m6A “readers” had a positive correlation with immune cells (including CD8+ T cell, CD4+ T cell, Tregs, B cell, neutrophil, monocyte, macrophage, myeloid dendritic cell, nature killer cell, mast cell, and CAF). Macrophages, CD4+ T cell, Treg, B cell, monocyte, and myeloid dendritic cell had a positively strong correlation (Rho>0.4) with most m6A “readers” (such as YTHDC1, YTHDC2, YTHDF1, IGF2BP3, HNRNPA2B1 and HNRNPC). In conclusion, by comprehensive analysis of m6A “readers”, we found that they were involved in the prognosis of HCC, and m6A “readers” might regulate the development and progression of HCC by participating in some metabolism-related and RNA splicing-related signaling pathways as well as immune cell infiltration.

Abbreviations

BP: biological process; CAF: cancer associated fibroblast; CC: cellular component; CTL: cytotoxic T lymphocytes; DC: dendritic cell; GO: Gene ontology; GSEA: gene set enrichment analysis; HPA: The Human Protein Atlas; KEGG: Kyoto Encyclopedia of Genes and Genomes; HCC: hepatocellular carcinoma; m6A: N6-methyladenosine; MF: molecular function; NK: nature killer; NTA: network topology-based analysis; ORA: over-representation analysis; OS: overall survival; PFS: progression free survival; PPI: protein-protein interactions; RBPs: RNA-binding proteins; SNRP: small nuclear ribonucleoprotein polypeptide; SR: serine and arginine-rich; Tregs: T cell regulatory.