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Clinicopathological and immunological characterization of RNA m6 A methylation regulators in ovarian cancer.


ABSTRACT:

Background

N6 -methyladenosine (m6 A) modification is one of the critical gene regulatory mechanisms implicated in cancer biology. However, the roles of m6 A regulators in ovarian cancer are still poorly understood.

Methods

We integrated multiple databases including Gene Expression Omnibus (GEO), ROC Plotter, Kaplan-Meier Plotter, and Tumor Immune Estimation Resource (TIMER) to explore clinicopathological significance of m6 A regulators in ovarian cancer.

Results

We showed that alterations in the expression of m6 A regulators were related to the malignancy and poor prognosis of ovarian cancer. We found decreased YTHDC1 and increased RBM15 expressions were associated with ovarian cancer cell metastases and HNRNPC was a predictor of paclitaxel resistance. Moreover, dysregulated m6 A regulators were enriched in the activation of cancer-related pathways. Our results further demonstrated that the level of immune cell infiltration and the expression of various immune gene markers were closely associated with the expressions of specific m6 A regulators (RBM15B, ZC3H13, YTHDF1, and IGF2BP1).

Conclusions

Our study establishes a new prognostic profile of ovarian cancer patients based on m6 A regulators, and highlights the potential roles of m6 A regulators in ovarian cancer development.

SUBMITTER: Wang Q 

PROVIDER: S-EPMC7963423 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature

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Publications

Clinicopathological and immunological characterization of RNA m<sup>6</sup> A methylation regulators in ovarian cancer.

Wang Qingying Q   Zhang Qinyi Q   Li Qingxian Q   Zhang Jing J   Zhang Jiawen J  

Molecular genetics & genomic medicine 20201122 1


<h4>Background</h4>N<sup>6</sup> -methyladenosine (m<sup>6</sup> A) modification is one of the critical gene regulatory mechanisms implicated in cancer biology. However, the roles of m<sup>6</sup> A regulators in ovarian cancer are still poorly understood.<h4>Methods</h4>We integrated multiple databases including Gene Expression Omnibus (GEO), ROC Plotter, Kaplan-Meier Plotter, and Tumor Immune Estimation Resource (TIMER) to explore clinicopathological significance of m<sup>6</sup> A regulators  ...[more]

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