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非侵入性检测健康日光暴露皮肤中的体细胞突变会增加皮肤癌风险。

Skin Cancer Risk Is Increased by Somatic Mutations Detected Noninvasively in Healthy-Appearing Sun-Exposed Skin.

机构信息

DermTech, San Diego, California, USA.

Department of Dermatology, School of Medicine, Georgetown University, Washington, District of Columbia, USA.

出版信息

J Invest Dermatol. 2024 Oct;144(10):2187-2196.e13. doi: 10.1016/j.jid.2024.02.017. Epub 2024 Mar 19.

DOI:10.1016/j.jid.2024.02.017
PMID:38513819
Abstract

Skin cancer risk is increased by exposure to ultraviolet radiation (UVR). Because UVR exposure accumulates over time and lighter skin is more susceptible to UVR, age and skin tone are risk factors for skin cancer. However, measurements of somatic mutations in healthy-appearing skin have not been used to calculate skin cancer risk. In this study, we developed a noninvasive test that quantifies somatic mutations in healthy-appearing sun-exposed skin and applied it to a 1038-subject cohort. Somatic mutations were combined with other known skin cancer risk factors to train a model to calculate risk. The final model (DNA-Skin Cancer Assessment of Risk) was trained to predict personal history of skin cancer from age, family history, skin tone, and mutation count. The addition of mutation count significantly improved model performance (OR = 1.3, 95% confidence interval = 1.14-1.48; P = 5.3 × 10) and made a more significant contribution than skin tone. Calculations of skin cancer risk matched the known United States population prevalence, indicating that DNA-Skin Cancer Assessment of Risk was well-calibrated. In conclusion, somatic mutations in healthy-appearing sun-exposed skin increase skin cancer risk, and mutations capture risk information that is not accounted for by other risk factors. Clinical utility is supported by the noninvasive nature of skin sample collection through adhesive patches.

摘要

皮肤癌的风险因暴露于紫外线辐射(UVR)而增加。由于 UVR 暴露随时间积累,并且浅色皮肤对 UVR 更敏感,因此年龄和肤色是皮肤癌的风险因素。然而,尚未使用健康皮肤的体细胞突变测量来计算皮肤癌风险。在这项研究中,我们开发了一种非侵入性测试,可定量测定暴露于阳光的健康皮肤中的体细胞突变,并将其应用于 1038 名受试者队列。将体细胞突变与其他已知的皮肤癌危险因素结合起来,以训练一种模型来计算风险。最终模型(DNA-皮肤癌风险评估)旨在根据年龄,家族史,肤色和突变计数预测个人的皮肤癌病史。突变计数的增加显著提高了模型性能(OR=1.3,95%置信区间=1.14-1.48;P=5.3×10),其贡献比肤色更为显著。皮肤癌风险的计算与美国已知的人群患病率相匹配,表明 DNA-皮肤癌风险评估具有良好的校准能力。总之,健康暴露于阳光的皮肤中的体细胞突变会增加皮肤癌的风险,而突变可捕获其他危险因素无法解释的风险信息。通过粘性贴片进行非侵入性的皮肤样本采集支持其临床实用性。

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