Narrative review discusses MicroRNAs in melanoma without reported outcomes or safety data
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Key Takeaway
Note that this narrative review lacks reported outcomes or safety data for MicroRNAs in melanoma.
This source is a narrative review focusing on MicroRNAs in the context of melanoma. The authors provide a qualitative discussion of the subject matter rather than presenting quantitative trial data or pooled effect sizes. The review does not include specific sample sizes, intervention details, or comparator groups in its reporting.
The text notes that primary outcomes and secondary outcomes were not reported. Similarly, safety information including adverse events, serious adverse events, discontinuations, and tolerability is not reported. The review does not specify a follow-up duration or setting for the discussed MicroRNAs.
Limitations acknowledged by the authors include the absence of reported data on population characteristics and study design specifics. Consequently, the practice relevance of these findings remains unclear as no specific recommendations or certainty notes are provided. The evidence presented is limited to the qualitative scope of the narrative review.
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View Original Abstract ↓
Melanoma, a highly malignant form of skin cancer, continues to rise in incidence worldwide. Early diagnosis and accurate prognostic assessment are critical to reducing melanoma-related mortality rates. MicroRNAs (miRNAs), a class of non-coding RNAs approximately 22 nucleotides in length, play pivotal roles in melanoma initiation, progression, invasion, and metastasis by regulating the expression of target genes. Beyond their cell-intrinsic functions, miRNAs are increasingly recognized as critical regulators of the tumor immune microenvironment (TIME). They modulate anti-tumor immune responses by influencing immune checkpoint expression, immune cell recruitment and function, and intercellular communication via extracellular vesicles (EVs). This comprehensive review explores the multifaceted functions of miRNAs in melanoma, highlighting their potential as diagnostic markers, prognostic indicators, and predictors of therapeutic response. It also addresses current research challenges and explores future directions, including the integration of AI-powered spatial transcriptomics to decipher the complex, context-dependent networks of miRNAs within the TIME, offering a theoretical foundation and novel insights for precision medicine in melanoma treatment.
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