RNA 5-Methylcytosine Regulators Contribute to Metabolism Heterogeneity and Predict Prognosis in Ovarian Cancer
5-Methylcytosine (m C) is an abundant and highly conserved modification in RNAs. The dysregulation of RNA m C methylation has been reported in cancers, but the regulatory network in ovarian cancer of RNA m C methylation-related genes and its implication in metabolic regulation remain largely unexplo...
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Published in | Frontiers in cell and developmental biology Vol. 10; p. 807786 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
Switzerland
Frontiers Media S.A
18.03.2022
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Subjects | |
Online Access | Get full text |
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Summary: | 5-Methylcytosine (m
C) is an abundant and highly conserved modification in RNAs. The dysregulation of RNA m
C methylation has been reported in cancers, but the regulatory network in ovarian cancer of RNA m
C methylation-related genes and its implication in metabolic regulation remain largely unexplored. In this study, RNA-sequencing data and clinical information of 374 ovarian cancer patients were downloaded from The Cancer Genome Atlas database, and a total of 14 RNA m
C regulators were included. Through unsupervised consensus clustering, two clusters with different m
C modification patterns were identified with distinct survivals. According to enrichment analyses, glycosaminoglycan and collagen metabolism-related pathways were specifically activated in cluster 1, whereas fatty acid metabolism-related pathways were enriched in cluster 2, which had better overall survival (OS). Besides the metabolism heterogeneity, the higher sensitivity to platinum and paclitaxel in cluster 2 can further explain the improved OS. Ultimately, a least absolute shrinkage and selection operator prediction model formed by ALYREF, NOP2, and TET2 toward OS was constructed. In conclusion, distinct m
C modification pattern exhibited metabolism heterogeneity, different chemotherapy sensitivity, and consequently survival difference, providing evidence for risk stratification. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Qian Yang, Cedars Sinai Medical Center, United States Reviewed by: Yubin Xie, Sun Yat-sen University, China These authors have contributed equally to this work Edited by: Xiaoxing Li, The First Affiliated Hospital of Sun Yat-sen University, China This article was submitted to Signaling, a section of the journal Frontiers in Cell and Developmental Biology |
ISSN: | 2296-634X 2296-634X |
DOI: | 10.3389/fcell.2022.807786 |