Department of Population Health, QIMR Berghofer Medical Research Institute, Queensland, Australia; School of Public Health, University of Queensland, Queensland, Australia.
Department of Population Health, QIMR Berghofer Medical Research Institute, Queensland, Australia.
J Invest Dermatol. 2019 Mar;139(3):665-672. doi: 10.1016/j.jid.2018.09.022. Epub 2018 Oct 24.
To delineate causal pathways for melanoma, it is essential to derive unbiased estimates of risk. Extant knowledge derives largely from case-control studies with potential for bias. In a population-based prospective study (QSkin, n = 38,854), we assessed melanoma risks associated with pigmentation characteristics and other phenotypes, and we explored additive interactions. We fitted Cox proportional hazards models to adjust for other factors to estimate the independent effects of each characteristic on melanoma risk. During a mean follow-up of 3.5 years, 642 (1.5%) participants developed melanoma (253 invasive, 389 in situ). The characteristics most strongly associated with invasive melanoma were self-reported nevus density at age 21 years (many vs. no moles hazard ratio [95% confidence interval] = 4.91 [2.81-8.55]), inability to tan (no tan vs. deep tan, hazard ratio [95% confidence interval] = 3.39 [1.85-6.20]), and red hair color (vs. black, hazard ratio [95% confidence interval] = 3.11 [1.50-6.43]). Propensity to sunburn was not associated with melanoma after tanning inability was adjusted for. People with both high nevus density and a history of multiple keratinocyte cancers had significantly higher melanoma risks than those with only one of those traits. We infer that melanoma risk is more strongly related to nevus density and inability to tan than susceptibility to sunburn.
为了描绘黑色素瘤的因果途径,必须得出无偏估计的风险。现有的知识主要来自于可能存在偏倚的病例对照研究。在一项基于人群的前瞻性研究(QSkin,n=38854)中,我们评估了与色素沉着特征和其他表型相关的黑色素瘤风险,并探讨了相加性相互作用。我们拟合了 Cox 比例风险模型,以调整其他因素,估计每个特征对黑色素瘤风险的独立影响。在平均 3.5 年的随访期间,642 名(1.5%)参与者发生了黑色素瘤(253 例侵袭性,389 例原位)。与侵袭性黑色素瘤最密切相关的特征是 21 岁时报告的痣密度(很多痣与无痣的危险比[95%置信区间]为 4.91[2.81-8.55])、无法晒黑(不晒黑与深晒黑,危险比[95%置信区间]为 3.39[1.85-6.20])和红头发颜色(与黑头发,危险比[95%置信区间]为 3.11[1.50-6.43])。在调整了无法晒黑后,晒斑倾向与黑色素瘤无关。既有高痣密度又有多个角化细胞癌病史的人比只有其中一种特征的人患黑色素瘤的风险显著更高。我们推断黑色素瘤风险与痣密度和无法晒黑的关系比对晒伤的易感性更强。