Integrative Predictive Modeling of Metastasis in Melanoma Cancer Based on MicroRNA, mRNA, and DNA Methylation Data

Date

2021-09-01

Author

Kutlay, Aysegul
Aydın Son, Yeşim

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Introduction: Despite the significant progress in understanding cancer biology, the deduction of metastasis is still a challenge in the clinic. Transcriptional regulation is one of the critical mechanisms underlying cancer development. Even though mRNA, microRNA, and DNA methylation mechanisms have a crucial impact on the metastatic outcome, there are no comprehensive data mining models that combine all transcriptional regulation aspects for metastasis prediction. This study focused on identifying the regulatory impact of genetic biomarkers for monitoring metastatic molecular signatures of melanoma by investigating the consolidated effect of miRNA, mRNA, and DNA methylation.

URI

https://hdl.handle.net/11511/94453

Journal

FRONTIERS IN MOLECULAR BIOSCIENCES

DOI

https://doi.org/10.3389/fmolb.2021.637355

Collections

Graduate School of Informatics, Article

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Citation Formats

A. Kutlay and Y. Aydın Son, “Integrative Predictive Modeling of Metastasis in Melanoma Cancer Based on MicroRNA, mRNA, and DNA Methylation Data,” FRONTIERS IN MOLECULAR BIOSCIENCES, vol. 8, pp. 0–0, 2021, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/94453.