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Comment
. 2021 Sep;23(9):930-931.
doi: 10.1038/s41556-021-00748-0.

Dissecting melanocytes to predict melanoma

Alicia M McConnell  1   2 , Leonard I Zon  3   4   5
Affiliations
Comment

Dissecting melanocytes to predict melanoma

Alicia M McConnell et al. Nat Cell Biol. 2021 Sep.

Abstract

With advanced high-throughput technologies, scientists can now use transcriptional signatures to study melanocytes as they become cancer. A new study identifies transcriptional programs at single-cell resolution across platforms and species, which enables prediction of melanoma prognosis and response to immune-checkpoint inhibitor therapy.

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Conflict of interest statement

Competing interests

The authors declare no competing interests.

Figures

Fig. 1 ∣
Fig. 1 ∣. Melanoma subtypes categorised by transcriptional signature.
Melanomas with a neonatal melanocyte transcriptional signature (NEO) were associated with the worst survival and immunotherapy resistance outcomes, whereas those with an adult melanocyte signature (ADT) were associated with the highest levels of immune infiltration, treatment response and survival. Those with a melanocyte stem cell signature (MSC) or a foetal melanocyte signature (FET) were associated with moderate survival, with high druggability or high immune evasion, respectively. Credit: BioRender.com.
See this image and copyright information in PMC

Comment on

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