{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,16]],"date-time":"2026-04-16T11:09:26Z","timestamp":1776337766337,"version":"3.51.2"},"reference-count":43,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2020,12,10]],"date-time":"2020-12-10T00:00:00Z","timestamp":1607558400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Genet."],"abstract":"<jats:sec><jats:title>Purpose<\/jats:title><jats:p>N6-methyladenosine (m<jats:sup>6<\/jats:sup>A) is the most prevalent modification in mRNA methylation which has a wide effect on biological functions. This study aims to figure out the efficacy of m<jats:sup>6<\/jats:sup>A RNA methylation regulator-based biomarkers with prognostic significance in breast cancer.<\/jats:p><\/jats:sec><jats:sec><jats:title>Patients and Methods<\/jats:title><jats:p>The 23 RNA methylation regulators were firstly analyzed through ONCOMINE, then relative RNA-seq transcriptome and clinical data of 1,096 breast cancer samples and 112 normal tissue samples were acquired from The Cancer Gene Atlas (TCGA) database. The expressive distinction was also showed by the Gene Expression Omnibus (GEO) database. The gene expression data of m<jats:sup>6<\/jats:sup>A RNA regulators in human tissues were acquired from the Genotype-Tissue Expression (GTEx) database. The R v3.5.1 and other online tools such as STRING, bc-GeneExminer v4.5, Kaplan-Meier Plotter were applied for bioinformatics analysis.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Results from ONCOMINE, TCGA, and GEO databases showed distinctive expression and clinical correlations of m<jats:sup>6<\/jats:sup>A RNA methylation regulators in breast cancer patients. The high expression of YTHDF3, ZC3H13, LRPPRC, and METTL16 indicated poor survival rate in patients with breast cancer, while high expression of RBM15B pointed to a better survival rate. Both univariate and multivariate Cox regression analyses revealed that age and risk scores were related to overall survival (OS). Univariate analysis also delineated that stage, tumor (T) status, lymph node (N) status, and metastasis (M) status were associated with OS. From another perspective, Kaplan-Meier Plotter platform showed that the relatively high expression of YTHDF3 and LRPPRC and the relatively low expression of RBM15B, ZC3H13, and METTL16 in breast cancer patients had worse Relapse-Free Survival (RFS). Breast Cancer Gene-Expression Miner v4.5 showed that LRPPRC level was negatively associated with ER and PR expression, while METTL16, RBM15B, ZC3H13 level was positively linked with ER and PR expression. In HER-2 (+) breast cancer patients, the expression of LRPPRC, METTL16, RBM15B, and ZC3H13 were all lower than the HER-2 (\u2212) group.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>The significant difference in expression levels and prognostic value of m<jats:sup>6<\/jats:sup>A RNA methylation regulators were analyzed and validated in this study. This signature revealed the potential therapeutic value of m<jats:sup>6<\/jats:sup>A RNA methylation regulators in breast cancer.<\/jats:p><\/jats:sec>","DOI":"10.3389\/fgene.2020.604597","type":"journal-article","created":{"date-parts":[[2020,12,10]],"date-time":"2020-12-10T05:39:57Z","timestamp":1607578797000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":54,"title":["Expression and Prognostic Characteristics of m6 A RNA Methylation Regulators in Breast Cancer"],"prefix":"10.3389","volume":"11","author":[{"given":"Bo","family":"Zhang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yanlin","family":"Gu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guoqin","family":"Jiang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1965","published-online":{"date-parts":[[2020,12,10]]},"reference":[{"key":"B1","doi-asserted-by":"publisher","first-page":"D303","DOI":"10.1093\/nar\/gkx1030","article-title":"MODOMICS: a database of RNA modification pathways.","volume":"46","author":"Boccaletto","year":"2018","journal-title":"Nucleic Acids Res."},{"key":"B2","doi-asserted-by":"publisher","first-page":"394","DOI":"10.3322\/caac.21492","article-title":"Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries.","volume":"68","author":"Bray","year":"2018","journal-title":"CA Cancer J. 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