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RSS FeedsIJMS, Vol. 23, Pages 1299: Revisiting miRNA Association with Melanoma Recurrence and Metastasis from a Machine Learning Point of View (International Journal of Molecular Sciences)

 
 

24 january 2022 15:58:03

 
IJMS, Vol. 23, Pages 1299: Revisiting miRNA Association with Melanoma Recurrence and Metastasis from a Machine Learning Point of View (International Journal of Molecular Sciences)
 


The diagnostic and prognostic value of miRNAs in cutaneous melanoma (CM) has been broadly studied and supported by advanced bioinformatics tools. From early studies using miRNA arrays with several limitations, to the recent NGS-derived miRNA expression profiles, an accurate diagnostic panel of a comprehensive pre-specified set of miRNAs that could aid timely identification of specific cancer stages is still elusive, mainly because of the heterogeneity of the approaches and the samples. Herein, we summarize the existing studies that report several miRNAs as important diagnostic and prognostic biomarkers in CM. Using publicly available NGS data, we analyzed the correlation of specific miRNA expression profiles with the expression signatures of known gene targets. Combining network analytics with machine learning, we developed specific non-linear classification models that could successfully predict CM recurrence and metastasis, based on two newly identified miRNA signatures. Subsequent unbiased analyses and independent test sets (i.e., a dataset not used for training, as a validation cohort) using our prediction models resulted in 73.85% and 82.09% accuracy in predicting CM recurrence and metastasis, respectively. Overall, our approach combines detailed analysis of miRNA profiles with heuristic optimization and machine learning, which facilitates dimensionality reduction and optimization of the prediction models. Our approach provides an improved prediction strategy that could serve as an auxiliary tool towards precision treatment.


 
74 viewsCategory: Biochemistry, Biophysics, Molecular Biology
 
IJMS, Vol. 23, Pages 1298: Genome-Wide Survey Indicates Diverse Physiological Roles of Dendrobium officinale Calcium-Dependent Protein Kinase Genes (International Journal of Molecular Sciences)
IJMS, Vol. 23, Pages 1297: Mitochondrial Processing Peptidases—Structure, Function and the Role in Human Diseases (International Journal of Molecular Sciences)
 
 
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