Department of Plastic Surgery, The Second Affiliated Hospital, Medical School, Zhejiang University, Hangzhou, China.
Department of Epidemiology and Health Statistics, School of Public Health, Hangzhou Medical College, Hangzhou, China.
J Transl Med. 2024 Oct 8;22(1):916. doi: 10.1186/s12967-024-05719-1.
Identifying modifiable risk factors is essential for the prevention of skin cancer; however, establishing causality can be challenging in conventional epidemiological studies. This study aimed to determine the causal associations of potentially modifiable risk factors with skin cancer using Mendelian randomization (MR).
Genetic instruments for 53 risk factors, including socioeconomic status, dietary and lifestyle factors, anthropometric measures, medication use, and comorbidities, were identified from previous genome-wide association studies. Two-sample MR analyses were performed using summary statistics for three major types of skin cancer: melanoma, basal cell carcinoma (BCC), and squamous cell carcinoma (SCC). Findings were verified using multiple MR methods under different assumptions and replication datasets.
Genetic liability to sunburn occasions, actinic keratosis, and prior skin cancers was associated with a higher risk of all three types of skin cancer, whereas genetic liability to vitiligo was associated with a lower risk. For specific skin cancer types, genetically predicted higher nevus counts and occupational class were associated with an increased risk of melanoma. Genetic liability to rheumatoid arthritis, type 2 diabetes, and increased physical activity were associated with a lower risk of BCC. Genetically predicated body mass index showed a negative association with BCC, and a positive association with SCC.
Our study reaffirmed several previously established risk factors and identified novel potential risk factors for skin cancer. Further work is needed to unravel the biological pathways in different skin cancer types and translate our findings to inform public health policies.
识别可改变的风险因素对于预防皮肤癌至关重要;然而,在传统的流行病学研究中,确定因果关系具有挑战性。本研究旨在使用孟德尔随机化(MR)确定潜在可改变风险因素与皮肤癌之间的因果关系。
从先前的全基因组关联研究中确定了 53 个风险因素(包括社会经济地位、饮食和生活方式因素、人体测量指标、药物使用和合并症)的遗传工具。使用三种主要类型皮肤癌(黑色素瘤、基底细胞癌[BCC]和鳞状细胞癌[SCC])的汇总统计数据进行两样本 MR 分析。使用不同假设和复制数据集的多种 MR 方法验证了结果。
晒伤次数、光化性角化病和既往皮肤癌的遗传易感性与所有三种类型皮肤癌的风险增加相关,而白癜风的遗传易感性与风险降低相关。对于特定的皮肤癌类型,遗传预测的更高的痣计数和职业类别与黑色素瘤风险增加相关。类风湿关节炎、2 型糖尿病和增加的身体活动的遗传易感性与 BCC 的风险降低相关。遗传预测的体重指数与 BCC 呈负相关,与 SCC 呈正相关。
我们的研究再次证实了一些先前确定的风险因素,并确定了皮肤癌的新的潜在风险因素。需要进一步的工作来阐明不同皮肤癌类型中的生物学途径,并将我们的发现转化为告知公共卫生政策。