Comprehensive analysis of RNA-5-methylcytosine modification in breast cancer brain metastasis

<b>Aim:</b> To delineate the RNA-5-methylcytosine (m5C) modification of breast cancer brain metastasis (BCBM).<b>Methods:</b> Methylated RNA immunoprecipitation next-generation sequencing (MeRIP-seq) was performed to obtain RNA-m5C patterns of BCBM.<b>Results:</b> 1048 hypermethylation and 1866 hypomethylation m5C peaks were identified in BCBM compared with those in breast cancer. The most significant m5C hypermethylated genes included ENG, SHANK1, IGFN1, EVL and MMP9, whereas the most significant m5C hypomethylated genes included AREG, SAA2, TP53I11, KRT7 and LCN2. MeRIP-qPCR data were concordant with the corresponding MeRIP-seq results in terms of the observed m5C levels. Conjoint analysis identified 190 hyper-up genes characterized by concurrent m5C hypermethylation and up-regulation, alongside 284 hypo-down genes exhibiting both m5C hypomethylation and down-regulation.<b>Conclusion:</b> This study presents the first comprehensive analysis of RNA-m5C modification in BCBM.

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Publication Details

Journal
Future Oncology
Published
2024-09-30
DOI
https://doi.org/10.1080/14796694.2024.2405459
Citations
2
Primary Topic
RNA modifications and cancer
Type
article
Field-Weighted Citation Impact
0.47

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article

Comprehensive analysis of RNA-5-methylcytosine modification in breast cancer brain metastasis

Bo Fu, Peiying Cai, Jichao Li, Jianran Guo et al.
2 citations
Future Oncology
RNA modifications and cancer
0.47
article

Comprehensive analysis of RNA-5-methylcytosine modification in breast cancer brain metastasis

Bo Fu, Peiying Cai, Jichao Li, Jianran Guo, Min Li, Shen Chen, Anqi Zhang, Peng Li, Wei Zhang, Xuan Li, Meng An, Yan Liu, Jun Li
article en
2 citations

Abstract

<b>Aim:</b> To delineate the RNA-5-methylcytosine (m5C) modification of breast cancer brain metastasis (BCBM).<b>Methods:</b> Methylated RNA immunoprecipitation next-generation sequencing (MeRIP-seq) was performed to obtain RNA-m5C patterns of BCBM.<b>Results:</b> 1048 hypermethylation and 1866 hypomethylation m5C peaks were identified in BCBM compared with those in breast cancer. The most significant m5C hypermethylated genes included ENG, SHANK1, IGFN1, EVL and MMP9, whereas the most significant m5C hypomethylated genes included AREG, SAA2, TP53I11, KRT7 and LCN2. MeRIP-qPCR data were concordant with the corresponding MeRIP-seq results in terms of the observed m5C levels. Conjoint analysis identified 190 hyper-up genes characterized by concurrent m5C hypermethylation and up-regulation, alongside 284 hypo-down genes exhibiting both m5C hypomethylation and down-regulation.<b>Conclusion:</b> This study presents the first comprehensive analysis of RNA-m5C modification in BCBM.

Future OncologyVol. 20(37)
Liaocheng People's Hospital (CN)
National Natural Science Foundation of China, Natural Science Foundation of Shandong Province
Good health and well-being
Openalex Percentile: Top 35%
RNA modifications and cancer
0.47
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