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. 2022 Mar 18;10:807786. doi: 10.3389/fcell.2022.807786

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Copyright © 2022 Xu, Liu, Chen, Wang, Liu and Yi.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Metabolic heterogeneity in ovarian cancers with distinct m⁵C modification patterns. (A,B) Bubble plot showing GSVA enrichment analysis of the top 30 changed GO and KEGG hallmark pathways between two m⁵C clusters. (C) The most enriched metabolism-related GO pathways using differentially expressed genes in each m⁵C cluster. (D) The most enriched metabolism-related GO pathways using the top 500 up-regulated genes in each m⁵C cluster. (E,F) GSEA analysis showing the significant metabolism-related pathways up-regulated in each m⁵C cluster. (G) Correlation analysis between GSVA enrichment scores of the changed metabolism-related pathways in each m⁵C cluster and mRNA levels of m⁵C regulators.