Open AccessA newly defined risk signature, consisting of three m6A RNA methylation regulators, predicts the prognosis of ovarian cancer
Author(s) -
Lili Fan,
Lin Yuan,
Lei Han,
Guang Shu,
Lingyun He,
Zhipeng Yan,
Rihan Hai,
Gang Yin
Publication year - 2020
Publication title -
aging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.473
H-Index - 90
ISSN - 1945-4589
DOI - 10.18632/aging.103811
Subject(s) - rna methylation , biology , ovarian cancer , methylation , cancer research , rna , microrna , cancer , gene , genetics , methyltransferase
N6-methyladenosine (m 6 A) RNA methylation, involved in cancer initiation and progression, is dynamically regulated by the m 6 A RNA methylation regulators. However, the expression of m 6 A RNA methylation regulators in ovarian cancer and their correlation with prognosis remain elusive. Here, we demonstrated that the 18 central m 6 A RNA methylation regulators were expressed differently between ovarian cancer (OC) and normal tissues. By applying consensus clustering, all ovarian cancer patient cases can be divided into three subgroups (cluster1/2/3) based on overall expression levels of all 18 m 6 A RNA methylation regulators. We systematically analyzed the prognostic value of transcription levels of 18 m 6 A RNA methylation regulators in ovarian cancer and found that insulin-like growth factor 2 mRNA binding protein 1 (IGF2BP1), vir like m 6 A methyltransferase associated (VIRMA), and zinc finger CCCH-type containing 13 (ZC3H13) yield the highest scores for predicting the prognosis of ovarian cancer. Accordingly, we derived a risk signature consisting of transcription levels of these three selected m 6 A RNA methylation regulators as an independent prognostic marker for OC and validated our findings with data derived from a different ovarian cancer cohort. Moreover, by the Gene Set Enrichment Analysis (GSEA), we demonstrated that the three selected regulators were all correlated with pathways in cancer and WNT signaling pathways. In conclusion, m 6 A RNA methylation regulators are vital participants in ovarian cancer pathology; and IGF2BP1, VIRMA, and ZC3H13 mRNA levels are valuable factors for prognosis prediction and treatment strategy development.