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Age Effects and Temporal Trends in HPV-Related and HPV-Unrelated Oral Cancer in the United States: A Multistage Carcinogenesis Modeling Analysis

机译:美国HPV相关和HPV不相关的口腔癌的年龄影响和时间趋势:多阶段致癌模型分析

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摘要

Differences in prognosis in HPV-positive and HPV-negative oral (oropharyngeal and oral cavity) squamous cell carcinomas (OSCCs) and increasing incidence of HPV-related cancers have spurred interest in demographic and temporal trends in OSCC incidence. We leverage multistage clonal expansion (MSCE) models coupled with age—period—cohort (APC) epidemiological models to analyze OSCC data in the SEER cancer registry (1973–2012). MSCE models are based on the initiation—promotion—malignant conversion paradigm in carcinogenesis and allow for interpretation of trends in terms of biological mechanisms. APC models seek to differentiate between the temporal effects of age, period, and birth cohort on cancer risk. Previous studies have looked at the effect of period and cohort on tumor initiation, and we extend this to compare model fits of period and cohort effects on each of tumor initiation, promotion, and malignant conversion rates. HPV-related, HPV-unrelated except oral tongue, and HPV-unrelated oral tongue sites are best described by placing period and cohort effects on the initiation rate. HPV-related and non-oral-tongue HPV-unrelated cancers have similar promotion rates, suggesting similar tumorigenesis dynamics once initiated. Estimates of promotion rates at oral tongue sites are lower, corresponding to a longer sojourn time; this finding is consistent with the hypothesis of an etiology distinct from HPV or alcohol and tobacco use. Finally, for the three subsite groups, men have higher initiation rates than women of the same race, and black people have higher promotion than white people of the same sex. These differences explain part of the racial and sex differences in OSCC incidence.
机译:HPV阳性和HPV阴性的口腔(口咽和口腔)鳞状细胞癌(OSCC)的预后差异以及与HPV相关的癌症的发病率增加,引起了人们对OSCC发病率的人口统计学和时间趋势的兴趣。我们利用多阶段克隆扩展(MSCE)模型以及年龄-年龄-队列(APC)流行病学模型来分析SEER癌症登记系统(1973-2012)中的OSCC数据。 MSCE模型基于致癌作用中的启动-促进-恶性转化范例,并可以解释生物学机制方面的趋势。 APC模型力求区分年龄,时期和出生队列对癌症风险的时间影响。先前的研究已经研究了周期和队列对肿瘤起始的影响,我们将其扩展为比较周期和队列对肿瘤起始,促进和恶性转化率的模型拟合。与HPV相关,与HPV不相关的内容(除了口腔舌)和与HPV不相关的口腔部位最好通过放置时间和队列对起始率的影响来描述。 HPV相关和非口舌HPV不相关的癌症具有相似的促进率,提示一旦启动,其相似的肿瘤发生动力学。估计在口舌部位的升职率较低,因此停留时间较长;这一发现与不同于HPV或酒精和烟草使用的病因假说相符。最后,对于这三个子站点组,男性比同种族的女性有更高的启蒙率,黑人比同性别的白人具有更高的晋升率。这些差异解释了OSCC发病率的部分种族和性别差异。

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