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A newly defined risk signature, consisting of three m6A RNA methylation regulators, predicts the prognosis of ovarian cancer.

ABSTRACT: N6-methyladenosine (m6A) RNA methylation, involved in cancer initiation and progression, is dynamically regulated by the m6A RNA methylation regulators. However, the expression of m6A RNA methylation regulators in ovarian cancer and their correlation with prognosis remain elusive. Here, we demonstrated that the 18 central m6A 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 m6A RNA methylation regulators. We systematically analyzed the prognostic value of transcription levels of 18 m6A RNA methylation regulators in ovarian cancer and found that insulin-like growth factor 2 mRNA binding protein 1 (IGF2BP1), vir like m6A 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 m6A 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, m6A 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.

SUBMITTER: Fan L

PROVIDER: S-EPMC7585096 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature

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A newly defined risk signature, consisting of three m6A RNA methylation regulators, predicts the prognosis of ovarian cancer.

Fan Lili L Lin Ying Y Lei Han H Shu Guang G He Liuer L Yan Zhipeng Z Rihan Hai H Yin Gang G

Aging 20200920 18

N6-methyladenosine (m6A) RNA methylation, involved in cancer initiation and progression, is dynamically regulated by the m6A RNA methylation regulators. However, the expression of m6A RNA methylation regulators in ovarian cancer and their correlation with prognosis remain elusive. Here, we demonstrated that the 18 central m6A RNA methylation regulators were expressed differently between ovarian cancer (OC) and normal tissues. By applying consensus clus ...[more]

PMID: 32950970

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Project description:PurposeN6-methyladenosine (m6A) modifications represent one of the most common methylation modifications, and they are mediated by m6A RNA methylation regulators. However, their functions in renal cell carcinoma (RCC) are not completely understood. The aim of this study was to investigate the effects of the regulators in RCC.Materials and methodsThe expression levels of the 13 main m6A RNA methylation regulators in RCC were detected and consensus clustering was performed to explore their relationships with RCC. Thereafter, a risk signature based on the regulators was established. This risk model was fully verified by conducting prognostic analyses using two datasets (The Cancer Genome Atlas [TCGA] and Gene Expression Omnibus [GEO] datasets) and a ROC curve analysis.ResultsOf the 13 main m6A regulators, six were significantly upregulated and four were significantly downregulated in 893 RCC cases compared to 128 normal controls in the TCGA database. Consensus clustering based on the regulators identified two clusters of RCC cases, which were significantly associated with a pathological characteristic (T status). Thus, these results indicated that m6A RNA methylation regulators were associated with RCC. Thereafter, a risk model involving two of the regulators (METTL14 and WTAP) was established. The alterations in the mRNA and protein expression levels of these two regulators were further confirmed based on Human Protein Atlas data and real-time PCR in RCC and normal cell lines. The results indicated that the risk model may serve as an independent prognostic marker of overall survival, and it was also associated with clinicopathological characteristics (T status, M status, pathological stage, and gender) in RCC.ConclusionCollectively, the results of this study indicated that the risk model (based on two m6A RNA methylation regulators) may serve as an independent prognostic indicator of RCC, which may aid further investigation into m6A RNA modification in RCC.

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A newly defined risk signature, consisting of three m6A RNA methylation regulators, predicts the prognosis of ovarian cancer.

Publications

A newly defined risk signature, consisting of three m<sup>6</sup>A RNA methylation regulators, predicts the prognosis of ovarian cancer.

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