Department of Oral and Maxillofacial & Plastic Surgery, Jena University Hospital, Jena, Germany.
Department of Medical Statistics, University Medical Center Goettingen, Goettingen, Germany.
Clin Exp Dent Res. 2022 Feb;8(1):141-151. doi: 10.1002/cre2.523. Epub 2022 Jan 5.
The common risk factors for oral squamous cell carcinoma (OSCC) are smoking and alcohol abuse. A small percentage of patients, mostly women, are demonstrating oral cancer without the common risk behavior. This study investigates how gender and different patterns of lifestyle factors influence the clinical presentation of OSCC.
From this retrospective study, demographical and tumor-specific data and lifestyle factors were analyzed. Statistical analyses were performed using the χ test or Fisher's exact test for categorical analysis and the t test, ANOVA test, or Kruskal-Wallis test for continuous variables. The influence of the respective lifestyle factors together with their interactions with the gender on tumor characteristics has been tested using logistic and ordinal cumulative link regression models.
Among a total of 308 patients, men represented the majority of smokers (87.2%) and the female cohort were largely non-smokers and non-drinkers (64.9%). For age, tumor site and N-stage it looks like that differences of men and women are driven by the different risk behavior. But if the lifestyle factors are taken into account, we observe contrary effects between men and women for T-, N-, and UICC-stage. For different cancer locations we saw opposite effects with gender and risk profile. These effects are not dose-dependent explainable for gender.
Some but not all differences in the development of OSCC for men and women are explainable by the respective difference in lifestyle behavior. Some further investigations are necessary to find explanations for the obvious differences between men and women in developing OSCC.
口腔鳞状细胞癌(OSCC)的常见危险因素是吸烟和酗酒。一小部分患者,主要是女性,在没有常见风险行为的情况下表现出口腔癌。本研究旨在探讨性别和不同生活方式因素模式如何影响 OSCC 的临床表型。
本回顾性研究分析了人口统计学和肿瘤特异性数据以及生活方式因素。使用 χ 检验或 Fisher 确切检验进行分类分析,使用 t 检验、方差分析或 Kruskal-Wallis 检验进行连续变量分析。使用逻辑和有序累积链接回归模型测试了各生活方式因素及其与性别之间的相互作用对肿瘤特征的影响。
在总共 308 名患者中,男性占吸烟者的大多数(87.2%),而女性患者则主要是非吸烟者和非饮酒者(64.9%)。对于年龄、肿瘤部位和 N 分期,男性和女性之间的差异似乎是由不同的风险行为驱动的。但是,如果考虑生活方式因素,我们观察到男性和女性之间在 T、N 和 UICC 分期方面存在相反的影响。对于不同的癌症部位,我们观察到性别和风险状况之间存在相反的影响。这些影响不能用性别来解释,也不是剂量依赖性的。
一些但不是所有男性和女性 OSCC 发展之间的差异可以用各自的生活方式行为差异来解释。需要进一步研究以找到男性和女性在发生 OSCC 方面明显差异的解释。