Abstract 787: Estimating the influence of sex on cancer risk: An analysis in a large US prospective cohort study

医学 人口学 危险系数 癌症 置信区间 体质指数 比例危险模型 婚姻状况 入射(几何) 队列 队列研究 前瞻性队列研究 老年学 内科学 环境卫生 人口 物理 社会学 光学
作者
Sarah S. Jackson,Morgan A. Marks,Hormuzd A. Katki,Barry I. Graubard,Michael D. Cook,Anil K. Chaturvedi
出处
期刊:Cancer Research [American Association for Cancer Research]
卷期号:81 (13_Supplement): 787-787
标识
DOI:10.1158/1538-7445.am2021-787
摘要

Abstract Historically in the United States, cancer incidence has been significantly higher in men than women. This disparity is often attributed to gender-related behavioral risk factors, such as smoking and drinking. The degree to which differences in age-adjusted cancer rates are due to sex (e.g., chromosomes, hormones) is unknown. We estimated the effect of sex on cancer risk by comparing cancer incidence at 21 shared sites between men and women while adjusting for known gender-related risk factors. We analyzed data from 122,826 women and 171,274 men enrolled in the NIH AARP Diet and Health Study (1995-2011), contributing 3.5 million person-years of follow-up. Cox proportional hazards models were used to estimate male-to-female (M:F) adjusted hazard ratios (aHR) and 95% confidence intervals (CI) for each of the cancers, controlling for relevant baseline cancer-specific demographic (age, race, marital status, education), lifestyle (self-reported health status, family history of cancer, diet, body mass index, physical activity), and behavioral factors (tobacco, alcohol use). We used the Peters-Belson method to partition the observed differences between the sexes in cancer incidence into the proportion of the difference explained by the modifiable environmental and behavioral exposures (explained disparity) and the remaining proportion that cannot be explained by these exposures (unexplained disparity). After adjustment for cancer-specific risk factors, risks remained significantly higher in men for nearly all sites. The highest M:F aHR was for esophageal adenocarcinoma (aHR: 10.59, 95% CI: 7.19, 15.61) followed by gastric cardia (aHR: 4.55, 95% CI: 3.28, 6.31) and larynx (aHR: 3.73, 95% CI: 2.84, 4.89) cancers. In contrast, men had a lower adjusted incidence of thyroid (aHR: 0.57, 95% CI: 0.48, 0.68) and gallbladder (aHR: 0.55, 95% CI: 0.37, 0.82) cancers compared with women. Using the Peters-Belson method we found that, if men had the same exposure distribution as the women (under a counterfactual), the male predominance would remain for 12 cancers (bladder, skin, lung, colon, kidney, rectum, esophageal adenocarcinoma, larynx, gastric cardia, esophageal squamous cell carcinoma, pancreas, and oropharynx). For 4 cancers (liver, gastric non-cardia, oral cavity, and anus), if men had the exposure distribution of women, they would have experienced a higher cancer incidence than what was observed. This elevated risk in men compared with women, after adjustment for risk factors, indicates potential innate sex differences across nearly all shared cancer sites. Funding: Intramural Research Program of the National Institutes of Health, National Cancer Institute, Division of Cancer Epidemiology and Genetics Citation Format: Sarah S. Jackson, Morgan A. Marks, Hormuzd Katki, Barry I. Graubard, Michael D. Cook, Anil Chaturvedi. Estimating the influence of sex on cancer risk: An analysis in a large US prospective cohort study [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2021; 2021 Apr 10-15 and May 17-21. Philadelphia (PA): AACR; Cancer Res 2021;81(13_Suppl):Abstract nr 787.

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
nqterysc完成签到,获得积分10
刚刚
wang完成签到 ,获得积分10
1秒前
2秒前
无花果应助月月采纳,获得10
5秒前
7秒前
我要当博士完成签到,获得积分10
8秒前
jia完成签到,获得积分10
9秒前
lbl发布了新的文献求助10
12秒前
电四拟完成签到 ,获得积分10
14秒前
susu发布了新的文献求助10
15秒前
Wnn完成签到 ,获得积分10
15秒前
Hello应助聪慧的正豪采纳,获得10
16秒前
引觞甫完成签到,获得积分10
17秒前
18秒前
Hello应助lbl采纳,获得10
19秒前
崔灿完成签到 ,获得积分10
20秒前
量子星尘发布了新的文献求助10
22秒前
lv发布了新的文献求助10
22秒前
FashionBoy应助落雪芊芊采纳,获得10
22秒前
23秒前
jlb关闭了jlb文献求助
23秒前
Physio发布了新的文献求助10
24秒前
wyq完成签到 ,获得积分10
26秒前
27秒前
aabsd完成签到,获得积分10
27秒前
刘白告发布了新的文献求助10
27秒前
Aero完成签到,获得积分10
29秒前
美满熊猫完成签到,获得积分10
30秒前
hhc发布了新的文献求助10
32秒前
浮生六记完成签到 ,获得积分10
34秒前
ne完成签到 ,获得积分10
34秒前
鼠鼠完成签到 ,获得积分10
35秒前
lv完成签到,获得积分10
35秒前
36秒前
Physio完成签到,获得积分10
36秒前
Akim应助rachel采纳,获得30
37秒前
大龙哥886应助无心的苡采纳,获得10
37秒前
39秒前
66发布了新的文献求助10
41秒前
tanlei发布了新的文献求助10
44秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Clinical Microbiology Procedures Handbook, Multi-Volume, 5th Edition 临床微生物学程序手册,多卷,第5版 2000
人脑智能与人工智能 1000
King Tyrant 720
Silicon in Organic, Organometallic, and Polymer Chemistry 500
Peptide Synthesis_Methods and Protocols 400
Principles of Plasma Discharges and Materials Processing, 3rd Edition 400
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5603979
求助须知:如何正确求助?哪些是违规求助? 4688823
关于积分的说明 14856475
捐赠科研通 4695849
什么是DOI,文献DOI怎么找? 2541066
邀请新用户注册赠送积分活动 1507256
关于科研通互助平台的介绍 1471832