scholarly journals Ultradeep sequencing differentiates patterns of skin clonal mutations associated with sun-exposure status and skin cancer burden

2021 ◽  
Vol 7 (1) ◽  
pp. eabd7703
Author(s):  
Lei Wei ◽  
Sean R. Christensen ◽  
Megan E. Fitzgerald ◽  
James Graham ◽  
Nicholas D. Hutson ◽  
...  

In ultraviolet (UV) radiation–exposed skin, mutations fuel clonal cell growth. The relationship between UV exposure and the accumulation of clonal mutations (CMs) and the correlation between CMs and skin cancer risk are largely unexplored. We characterized 450 individual-matched sun-exposed (SE) and non-SE (NE) normal human skin samples. The number and relative contribution of CMs were significantly different between SE and NE areas. Furthermore, we identified hotspots in TP53, NOTCH1, and GRM3 where mutations were significantly associated with UV exposure. In the normal skin from patients with cutaneous squamous cell carcinoma, we found that the cancer burden was associated with the UV-induced mutations, with the difference mostly conferred by the low-frequency CMs. These findings provide previously unknown information on UV’s carcinogenic effect and pave the road for future development of quantitative assessment of subclinical UV damage and skin cancer risk.

2017 ◽  
Vol 11 (suppl_1) ◽  
pp. S433-S434
Author(s):  
Y. Wu ◽  
S. Ghaly ◽  
S. Kerr ◽  
K. Krishnaprasad ◽  
R. Prosser ◽  
...  

2020 ◽  
Author(s):  
Lei Wei ◽  
Sean R. Christensen ◽  
Megan Fitzgerald ◽  
James Graham ◽  
Nicholas Hutson ◽  
...  

AbstractNon-melanoma skin cancer is the most common human malignancy and is primarily caused by exposure to ultraviolet (UV) radiation. The earliest detectable precursor of UV-mediated skin cancer is the growth of cell groups harboring clonal mutation (CM) in clinically normal appearing skin. Systematic evaluation of CMs is crucial to understand early photo-carcinogenesis. Previous studies confirmed the presence of CMs in sun-exposed skin. However, the relationship between UV-exposure and the accumulation of CMs, and the correlation of CMs with skin cancer risk remain poorly understood. To elucidate the exact molecular and clinical effects of long-term UV-exposure on skin, we performed targeted ultra-deep sequencing in 450 individual-matched sun-exposed (SE) and non-sun-exposed (NE) epidermal punch biopsies obtained from clinically normal skin from 13 donors. A total of 638 CMs were identified, including 298 UV-signature mutations (USMs). The numbers of USMs per sample were three times higher in the SE samples and were associated with significantly higher variant allele frequencies (VAFs), compared with the NE samples. We identified genomic regions in TP53, NOTCH1 and GRM3 where mutation burden was significantly associated with UV-exposure. Six mutations were almost exclusively present in SE epidermis and accounted for 42% of the overall difference between SE and NE mutation burden. We defined Cumulative Relative Clonal Area (CRCA), a single metric of UV-damage calculated by the overall relative percentage of the sampled skin area affected by CMs. The CRCA was dramatically elevated by a median of 11.2 fold in SE compared to NE samples. In an extended cohort of SE normal skin samples from patients with a high- or low-burden of cutaneous squamous cell carcinoma (cSCC), the SE samples in high-cSCC patients contained significantly more USMs than SE samples in low-cSCC patients, with the difference mostly conferred by mutations from low-frequency clones (defined by VAF≤1%) but not expanded clones (VAF>1%). Our studies of differential mutational features in normal skin between paired SE/NE body sites and high/low-cSCC patients provide novel insights into the carcinogenic effect of UV exposure, and indicate that CMs might be used to develop novel biomarkers for predicting cancer risk.Significance statementIn UV radiation exposed skin, mutations fuel clonal cell growth. We established a sequencing-based method to objectively assess the mutational differences between sun-exposed (SE) and non-sun-exposed (NE) areas of normal human skin. Striking differences, in both the numbers of mutations and variant allele frequencies, were found between SE and NE areas. Furthermore, we identified specific genomic regions where mutation burden is significantly associated with UV-exposure status. These findings revealed previously unknown mutational patterns associated with UV-exposure, providing important insights into UV radiation’s early carcinogenic effects. Additionally, in an extended cohort, we identified preliminary association between normal skin mutation burden and cancer risk. These findings pave the road for future development of quantitative measurement of subclinical UV damage and skin cancer risk.


2017 ◽  
Vol 152 (5) ◽  
pp. S576 ◽  
Author(s):  
Yang Wu ◽  
Simon Ghaly ◽  
Stephen Kerr ◽  
Krupa Krishnaprasad ◽  
Deborah Martins ◽  
...  

2020 ◽  
Vol 6 (1) ◽  
pp. 205630512090536
Author(s):  
John Mingoia ◽  
Amanda D. Hutchinson ◽  
David H. Gleaves ◽  
Carlene Wilson

Media literacy interventions provide education about the way media influence attitudes to tanned skin and promote risky health-related behaviors (e.g., sun exposure). This study tested whether higher levels of media literacy can protect against the internalization of a tanned ideal and participation in appearance comparisons online. A total of 151 young Australians aged 18 to 29 years (61 males, 90 females) completed a measure of media literacy before being randomly assigned to view photos of models with either tanned ( n = 77) or pale skin ( n = 74) on social media. Participants completed measures of internalization of a tanned ideal and tendency to make appearance comparisons following exposure to the photos. There were significant negative relationships between level of media literacy skills and both internalization of a tanned ideal and appearance comparisons. Moreover, exposure to tanned models resulted in a higher tendency to make appearance comparisons than exposure to pale models. Results indicate that media literacy skills protect against skin cancer risk factors associated with media exposure. Future interventions to reduce skin cancer risk should address the role of social networking sites in proclaiming tanned skin as ideal and increase skepticism about photos of tanned models online.


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