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Journal of Investigative Dermatology
Article . 2021 . Peer-reviewed
License: CC BY
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Journal of Investigative Dermatology
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The Genomic Landscape of Actinic Keratosis

Authors: Jun Wang; Abha Gulati; Ai Nagano; Chinedu Anthony Anene; Findlay Bewicke-Copley; Catherine A. Harwood; Catherine A. Harwood; +5 Authors

The Genomic Landscape of Actinic Keratosis

Abstract

Actinic keratoses (AKs) are lesions of epidermal keratinocyte dysplasia and are precursors for invasive cutaneous squamous cell carcinoma (cSCC). Identifying the specific genomic alterations driving the progression from normal skin to skin with AK to skin with invasive cSCC is challenging because of the massive UVR-induced mutational burden characteristic at all stages of this progression. In this study, we report the largest AK whole-exome sequencing study to date and perform a mutational signature and candidate driver gene analysis on these lesions. We demonstrate in 37 AKs from both immunosuppressed and immunocompetent patients that there are significant similarities between AKs and cSCC in terms of mutational burden, copy number alterations, mutational signatures, and patterns of driver gene mutations. We identify 44 significantly mutated AK driver genes and confirm that these genes are similarly altered in cSCC. We identify azathioprine mutational signature in all AKs from patients exposed to the drug, providing further evidence for its role in keratinocyte carcinogenesis. cSCCs differ from AKs in having higher levels of intrasample heterogeneity. Alterations in signaling pathways also differ, with immune-related signaling and TGFβ signaling significantly more mutated in cSCC. Integrating our findings with independent gene expression datasets confirms that dysregulated TGFβ signaling may represent an important event in AK‒cSCC progression.

Keywords

Keratinocytes, Male, Skin Neoplasms, /dk/atira/pure/subjectarea/asjc/1300/1312, Biopsy, DNA Mutational Analysis, name=Dermatology, 610, Datasets as Topic, /dk/atira/pure/subjectarea/asjc/2700/2708, name=Cell Biology, Transforming Growth Factor beta, Biomarkers, Tumor, Humans, Aged, Skin, Aged, 80 and over, /dk/atira/pure/subjectarea/asjc/1300/1303, Gene Expression Profiling, name=Biochemistry, 600, name=Molecular Biology, Middle Aged, Keratosis, Actinic, Mutation, Carcinoma, Squamous Cell, Disease Progression, Original Article, Female, /dk/atira/pure/subjectarea/asjc/1300/1307, Signal Transduction

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    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
45
Top 1%
Top 10%
Top 1%
Green
hybrid