Prognostic Significance of miRNA Subtypes in Melanoma: A Survival Analysis and Correlation with Treatment Response Across Patient Stages
2024

Prognostic Significance of miRNA Subtypes in Melanoma

Sample size: 90 publication 10 minutes Evidence: moderate

Author Information

Author(s): Prodan Mihaela, Dema Alis, Nataras Bianca Roxana, Seclaman Edward, Bloanca Vlad, Crainiceanu Zorin, Deak Ilona Emoke, Virzob Claudia Raluca Balasa, Toma Ana-Olivia, Fericean Roxana Manuela, Christodoulou Maria-Ioanna, Rahat Miki

Primary Institution: Victor Babes University of Medicine and Pharmacy, Timisoara, Romania

Hypothesis

This study aims to analyze survival outcomes according to various miRNA subtypes and assess their association with treatment response across patient stages.

Conclusion

Specific miRNA subtypes are significant prognostic markers in melanoma, influencing survival outcomes and treatment responses across different patient stages.

Supporting Evidence

  • Elevated levels of hsa-miR-200a-3p and hsa-miR-335-5p were significantly associated with poorer overall survival.
  • Higher expression of hsa-miR-451a correlated with improved survival rates.
  • Patients with increased hsa-miR-29b-3p expression showed a better response to immunotherapy.
  • Multivariate analysis confirmed that miRNA expression levels and patient staging were independent predictors of survival and treatment response.

Takeaway

Researchers found that certain tiny molecules in our cells, called miRNAs, can help predict how well melanoma patients will do and how they will respond to treatment.

Methodology

A retrospective cohort study was conducted on 90 patients, analyzing miRNA expression levels and their association with survival and treatment response using statistical methods.

Limitations

The study's retrospective design and relatively small sample size may limit the generalizability of the findings.

Participant Demographics

The cohort included 45 patients with advanced-stage melanoma and 45 with benign nevi, with no significant differences in age or gender distribution.

Statistical Information

P-Value

p<0.01

Confidence Interval

95% CI: 1.15–4.79

Statistical Significance

p<0.01

Digital Object Identifier (DOI)

10.3390/biomedicines12122809

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