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Microsatellite instability as a predictive factor for immunotherapy in malignant melanoma
Ondrej Kubecek1, Petronela Trojanova1, Veronika Molnarova1
1Department of Oncology and Radiotherapy, University Hospital in Hradec Kralove, Faculty of Medicine, Charles University in Prague, Hradec Kralove, Czech Republic.
Medical Hypotheses
|July 4, 2016
Summary
Microsatellite instability (MSI) may predict immunotherapy success in malignant melanoma. This DNA mismatch repair deficiency marker could identify patients benefiting from novel immune therapies over traditional treatments.
Area of Science:
- Oncology
- Immunology
- Genetics
Background:
- Immunotherapy shows promise for metastatic melanoma but lacks predictive biomarkers.
- Microsatellite instability (MSI), a DNA mismatch repair deficiency, is emerging as a potential predictive marker.
- Tumor immunogenicity, influenced by mutational heterogeneity, is key to immunotherapy success, with melanoma showing high somatic mutations.
Purpose of the Study:
- To investigate microsatellite instability (MSI) as a predictive biomarker for immunotherapy response in malignant melanoma.
- To explore the rationale for using immunotherapy in MSI-positive melanomas based on immunogenicity and neo-antigen load.
Main Methods:
- Review of existing evidence linking MSI status to tumor immunogenicity and treatment outcomes.
- Analysis of MSI's association with immune cell infiltration and inhibitory factors, drawing parallels from colorectal cancer studies.
Main Results:
- MSI in colorectal cancer correlates with increased antitumor lymphocytes (CD3+, CD8+, CD45RO+, T-bet+) and decreased inhibitory factors (Foxp3, IL-6, IL-17, TGF-β).
- MSI tumors accumulate somatic mutations, leading to high neo-antigen levels and potential resistance to conventional therapies, suggesting immunotherapy suitability.
Conclusions:
- The MSI phenotype in malignant melanoma may help identify patients likely to benefit from immunotherapy.
- MSI status presents a promising avenue for personalizing melanoma treatment strategies, optimizing immunotherapy efficacy.

