Department of Population Health, QIMR Berghofer Medical Research Institute, Brisbane, Australia.
School of Medicine, University of Queensland, Brisbane, Australia.
Int J Epidemiol. 2021 Aug 30;50(4):1316-1324. doi: 10.1093/ije/dyaa265.
Epidemiological studies have consistently documented an increased risk of developing primary non-cutaneous malignancies among people with a history of keratinocyte carcinoma (KC). However, the mechanisms underlying this association remain unclear. We conducted two separate analyses to test whether genetically predicted KC is related to the risk of developing cancers at other sites.
In the first approach (one-sample), we calculated the polygenic risk scores (PRS) for KC using individual-level data in the UK Biobank (n = 394 306) and QSkin cohort (n = 16 896). The association between the KC PRS and each cancer site was assessed using logistic regression. In the secondary (two-sample) approach, we used genome-wide association study (GWAS) summary statistics identified from the most recent GWAS meta-analysis of KC and obtained GWAS data for each cancer site from the UK-Biobank participants only. We used inverse-variance-weighted methods to estimate risks across all genetic variants.
Using the one-sample approach, we found that the risks of cancer at other sites increased monotonically with KC PRS quartiles, with an odds ratio (OR) of 1.16, 95% confidence interval (CI): 1.13-1.19 for those in KC PRS quartile 4 compared with those in quartile 1. In the two-sample approach, the pooled risk of developing other cancers was statistically significantly elevated, with an OR of 1.05, 95% CI: 1.03-1.07 per doubling in the odds of KC. We observed similar trends of increasing cancer risk with increasing KC PRS in the QSkin cohort.
Two different genetic approaches provide compelling evidence that an instrumental variable for KC constructed from genetic variants predicts the risk of cancers at other sites.
流行病学研究一致表明,有角化细胞癌(KC)病史的人发生原发性非皮肤恶性肿瘤的风险增加。然而,这种关联的机制尚不清楚。我们进行了两项独立的分析,以检验遗传预测的 KC 是否与其他部位癌症的发病风险有关。
在第一种方法(单样本)中,我们使用 UK Biobank(n=394306)和 QSkin 队列(n=16896)中的个体水平数据计算 KC 的多基因风险评分(PRS)。使用逻辑回归评估 KC PRS 与每个癌症部位之间的关联。在二次(双样本)方法中,我们使用最近 KC 的全基因组关联研究(GWAS)荟萃分析中确定的 GWAS 汇总统计数据,并仅从 UK-Biobank 参与者中获得每个癌症部位的 GWAS 数据。我们使用逆方差加权方法估计所有遗传变异的风险。
使用单样本方法,我们发现其他部位癌症的风险随着 KC PRS 四分位数的增加而单调增加,与四分位 1 相比,四分位 4 的 OR 为 1.16(95%CI:1.13-1.19)。在双样本方法中,其他癌症的发病风险明显升高,KC 发病几率每增加一倍,OR 为 1.05(95%CI:1.03-1.07)。我们在 QSkin 队列中观察到 KC PRS 增加与癌症风险增加呈相似趋势。
两种不同的遗传方法提供了令人信服的证据,即从遗传变异构建的 KC 工具变量可以预测其他部位癌症的风险。