分析非西班牙裔黑人和白人美国人的肺癌发病率,使用多阶段致癌模型
Sarah Skolnick1, Pianpian Cao1,2, Jihyoun Jeon1
1Department of Epidemiology, University of Michigan, Ann Arbor, MI, USA.
Cancer causes & control : CCC
|November 19, 2024
概括
黑人肺癌的发病率高于白人,即使吸烟率较低. 非吸烟因素在很大程度上导致了这些差异,突出了针对种族特定的预防策略的需要.
科学领域:
- 流行病学 流行病学
- 致癌的发生是致癌的产生.
- 公共卫生 公共卫生
背景情况:
- 肺癌发病率表现出跨种族/族群和性别的复杂,矛盾的模式.
- 非西班牙裔黑人 (NHB) 男性的肺癌发病率高于非西班牙裔白人 (NHW) 男性,尽管吸烟频率较低.
- 尽管吸烟率较低,但NHB女性的肺癌发病率与NHW女性相似.
研究的目的:
- 用多阶段致癌模型研究吸烟对NHB和NHW个体肺癌发病率的影响.
- 在多民族队列研究 (MEC) 中,根据种族/种族和性别分析肺癌风险因素的差异.
主要方法:
- 采用双阶段克隆扩张 (TSCE) 模型来分析吸烟对肺瘤启动,促进和恶性转化的影响.
- 使用最大概率方法来估计模型参数,并评估根据种族/种族,性别和吸烟史的变化.
- 在MEC队列中比较NHB和NHW成年人.
主要成果:
- 吸烟显著增加了瘤的推广和恶性转化,但不是启动.
- 种族/种族和性别影响了吸烟和非吸烟相关的致癌症.
- 与NHW个体相比,NHB个体表现出更高的非吸烟相关启动和恶性转化,但促进率较低.
结论:
- 虽然吸烟是一个关键因素,但与非吸烟相关的背景风险显著导致肺癌中观察到的种族/种族差异.
- 开发的TSCE模型提供了对种族/种族特异性肺癌自然史的见解.
- 调查结果将为针对性预防干预提供信息,以解决美国肺癌结果和种族差异.
相关概念视频
Statistical Methods for Analyzing Epidemiological Data
308
Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
308
Cancer Survival Analysis
328
Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
328
Cancer Prevention
6.1K
Several factors can increase the risk of cancer in an individual. About 50% of cancer cases can be prevented by adopting a healthy lifestyle, regular exercise, eating healthy, and following a modest cancer prevention diet. Epidemiological studies have consistently shown that populations with vegetable and fruit-rich diets have reduced the incidence of cancer. On the other hand, populations who have a diet rich in animal fat, red meat, junk food, or high calories are predisposed to cancer.
Some...
Some...
6.1K
Comparing the Survival Analysis of Two or More Groups
154
Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...
154


