RNA-seq validation of microRNA expression signatures for precision melanoma diagnosis and prognostic stratification

The MEL38 and MEL12 signatures can be assessed in either solid tissue or plasma using RNA-seq and are strong predictors of disease state and patient outcome. Compared with other genomic methods, MEL12 was shown to be the strongest predictor of poor prognosis. MicroRNA expression profiling offers objective, accurate genomic information about a patient's likelihood of invasive melanoma and prognosis.

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Publication Details

Journal
BMC Medical Genomics
Published
2024-10-25
DOI
https://doi.org/10.1186/s12920-024-02028-w
Citations
5
Primary Topic
MicroRNA in disease regulation
Type
article
Field-Weighted Citation Impact
1.43

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article

RNA-seq validation of microRNA expression signatures for precision melanoma diagnosis and prognostic stratification

Ryan K. van Laar, Lauren Coombs, Christopher G. Love
5 citations
BMC Medical Genomics
MicroRNA in disease regulation
1.43
article

RNA-seq validation of microRNA expression signatures for precision melanoma diagnosis and prognostic stratification

Ryan K. van Laar, Lauren Coombs, Christopher G. Love
article en
5 citations

Abstract

The MEL38 and MEL12 signatures can be assessed in either solid tissue or plasma using RNA-seq and are strong predictors of disease state and patient outcome. Compared with other genomic methods, MEL12 was shown to be the strongest predictor of poor prognosis. MicroRNA expression profiling offers objective, accurate genomic information about a patient's likelihood of invasive melanoma and prognosis.

BMC Medical GenomicsVol. 17(1)
AgriBio (AU)
Monash University
Zero hunger
Openalex Percentile: Top 17%
MicroRNA in disease regulation
1.43
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