Genome Medicine (Nov 2021)

Genome-wide identification and characterization of circular RNA m6A modification in pancreatic cancer

  • Ying Ye,
  • Weiyi Feng,
  • Jialiang Zhang,
  • Kaiyu Zhu,
  • Xudong Huang,
  • Ling Pan,
  • Jiachun Su,
  • Yanfen Zheng,
  • Rui Li,
  • Shuang Deng,
  • Ruihong Bai,
  • Lisha Zhuang,
  • Lusheng Wei,
  • Junge Deng,
  • Mei Li,
  • Rufu Chen,
  • Dongxin Lin,
  • Zhixiang Zuo,
  • Jian Zheng

DOI
https://doi.org/10.1186/s13073-021-01002-w
Journal volume & issue
Vol. 13, no. 1
pp. 1 – 19

Abstract

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Abstract Background N 6-methyladenosine (m6A) is the most abundant modification of RNA in eukaryotic cells and play critical roles in cancer. While most related studies focus on m6A modifications in linear RNA, transcriptome-wide profiling and exploration of m6A modification in circular RNAs in cancer is still lacking. Methods For the detection of m6A modification in circRNAs, we developed a new bioinformatics tools called Circm6A and applied it to the m6A-seq data of 77 tissue samples from 58 individuals with pancreatic ductal adenocarcinoma (PDAC). Results Circm6A performs better than the existing circRNA identification tools, which achieved highest F1 score among these tools in the detection of circRNAs with m6A modifications. By using Circm6A, we identified a total of 8807 m6A-circRNAs from our m6A-seq data. The m6A-circRNAs tend to be hypermethylated in PDAC tumor tissues compared with normal tissues. The hypermethylated m6A-circRNAs were associated with a significant gain of circRNA-mRNA coexpression network, leading to the dysregulation of many important cancer-related pathways. Moreover, we found the cues that hypermethylated m6A-circRNAs may promote the circularization and translation of circRNAs. Conclusions These comprehensive findings further bridged the knowledge gaps between m6A modification and circRNAs fields by depicting the m6A-circRNAs genomic landscape of PDAC patients and revealed the emerging roles played by m6A-circRNAs in pancreatic cancer. Circm6A is available at https://github.com/canceromics/circm6a .

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