4.6 Article

Extracellular vesicles as a liquid biopsy for melanoma: Are we there yet?

Journal

SEMINARS IN CANCER BIOLOGY
Volume 89, Issue -, Pages 92-98

Publisher

ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
DOI: 10.1016/j.semcancer.2023.01.008

Keywords

Melanoma; Extracellular vesicles; Liquid biopsy; Biomarkers

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Melanoma, as an aggressive form of skin cancer, has limited treatment options and requires biomarkers to guide treatment decisions. The analysis of peripheral blood samples, particularly extracellular vesicles (EVs), has shown promise in overcoming the limitations of tissue sampling for cancer dissemination, immune modulation, and drug resistance. EVs have potential as biomarkers for melanoma diagnosis, prognosis, therapy response prediction, and drug resistance, especially in predicting therapeutic response to immune checkpoint inhibition. However, further research and strong clinical validation are needed to fully realize the potential of EV analysis for clinical decision-making.
Melanoma is the most aggressive form of skin cancer owing to its high propensity to metastasise in distant organs and develop resistance to treatment. The scarce treatment options available for melanoma underscore the need for biomarkers to guide treatment decisions. In this context, an attractive alternative to overcome the limitations of repeated tissue sampling is the analysis of peripheral blood samples, referred to as 'liquid biopsy'. In particular, the analysis of extracellular vesicles (EVs) has emerged as a promising candidate due to their role in orchestrating cancer dissemination, immune modulation, and drug resistance. As we gain insights into the role of EVs in cancer and melanoma their potential for clinical use is becoming apparent. Herein, we critically summarise the current evidence supporting EVs as biomarkers for melanoma diagnosis, prognostication, therapy response prediction, and drug resistance. EVs are proposed as a candidate biomarker for predicting therapeutic response to immune checkpoint inhibition. However, to realise the potential of EV analysis for clinical decisionmaking strong clinical validation is required, underscoring the need for further research in this area.

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