Functional characteristics of DNA N6-methyladenine modification based on long-read sequencing in pancreatic cancer.

Autor: Zhou, Dianshuang, Guo, Shiwei, Wang, Yangyang, Zhao, Jiyun, Liu, Honghao, Zhou, Feiyang, Huang, Yan, Gu, Yue, Jin, Gang, Zhang, Yan
Předmět:
Zdroj: Briefings in Functional Genomics; Mar2024, Vol. 23 Issue 2, p150-162, 13p
Abstrakt: Abnormalities of DNA modifications are closely related to the pathogenesis and prognosis of pancreatic cancer. The development of third-generation sequencing technology has brought opportunities for the study of new epigenetic modification in cancer. Here, we screened the N6-methyladenine (6mA) and 5-methylcytosine (5mC) modification in pancreatic cancer based on Oxford Nanopore Technologies sequencing. The 6mA levels were lower compared with 5mC and upregulated in pancreatic cancer. We developed a novel method to define differentially methylated deficient region (DMDR), which overlapped 1319 protein-coding genes in pancreatic cancer. Genes screened by DMDRs were more significantly enriched in the cancer genes compared with the traditional differential methylation method (P  < 0.001 versus P = 0.21, hypergeometric test). We then identified a survival-related signature based on DMDRs (DMDRSig) that stratified patients into high- and low-risk groups. Functional enrichment analysis indicated that 891 genes were closely related to alternative splicing. Multi-omics data from the cancer genome atlas showed that these genes were frequently altered in cancer samples. Survival analysis indicated that seven genes with high expression (ADAM9 , ADAM10 , EPS8 , FAM83A , FAM111B , LAMA3 and TES) were significantly associated with poor prognosis. In addition, the distinction for pancreatic cancer subtypes was determined using 46 subtype-specific genes and unsupervised clustering. Overall, our study is the first to explore the molecular characteristics of 6mA modifications in pancreatic cancer, indicating that 6mA has the potential to be a target for future clinical treatment. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index