Lung cancer mutation profile of EGFR, ALK, and KRAS: Meta-analysis and comparison of never and ever smokers

医学 肺癌 克拉斯 内科学 肿瘤科 优势比 癌症 结直肠癌
作者
Aaron Chapman,Kathie Sun,Peter Ruestow,Dallas M. Cowan,Amy K. Madl
出处
期刊:Lung Cancer [Elsevier BV]
卷期号:102: 122-134 被引量:252
标识
DOI:10.1016/j.lungcan.2016.10.010
摘要

Lung cancer is the leading cause of cancer-related mortality. While the majority of lung cancers are associated with tobacco smoke, approximately 10–15% of U.S. lung cancers occur in never smokers. Evidence suggests that lung cancer in never smokers appears to be a distinct disease caused by driver mutations which are different than the genetic pathways observed with lung cancer in smokers. A meta-analysis of human epidemiologic data was conducted to evaluate the profile of common or therapy-targetable mutations in lung cancers of never and ever smokers. Epidemiologic studies (N = 167) representing over 63,000 lung cancer cases were identified and used to calculate summary odds ratios for lung cancer in never and ever smokers containing gene mutations: EGFR, chromosomal rearrangements and fusion of EML4 and ALK, and KRAS. This analysis also considered the effect of histopathology, smoking status, sex, and ethnicity. There were significantly increased odds of presenting the EGFR and ALK-EML4 mutations in 1) adenocarcinomas compared to non-small cell lung cancer and 2) never smokers compared to ever smokers. The prevalence of EGFR mutations was higher in Asian women as compared to women of Caucasian/Mixed ethnicity. As the smoking history increased, there was a decreased odds for exhibiting the EGFR mutation, particularly for cases >30 pack-years. Compared to ever smokers, never smokers had a decreased odds of KRAS mutations among those of Caucasian/Mixed ethnicity (OR = 0.22, 95% CI: 0.17–0.29) and those of Asian ethnicity (OR = 0.39, 95% CI: 0.30–0.50). Our findings show that key driver mutations and several patient features are highly prevalent in lung cancers of never smokers. These associations may be helpful as patient demographic models are developed to predict successful outcomes of targeted therapeutic interventions NSCLC.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
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
科研通AI6.4应助ashore采纳,获得10
1秒前
1秒前
汉堡包应助简单摩托采纳,获得10
1秒前
隐形曼青应助lihua采纳,获得10
1秒前
PDE完成签到,获得积分10
1秒前
2秒前
HY完成签到,获得积分10
2秒前
晨光完成签到,获得积分10
3秒前
岚岚完成签到,获得积分10
3秒前
磊大彪完成签到 ,获得积分10
5秒前
lll发布了新的文献求助10
5秒前
橘子发布了新的文献求助20
5秒前
风吹独自凉完成签到,获得积分0
6秒前
dk发布了新的文献求助10
6秒前
7秒前
娇娇完成签到,获得积分10
7秒前
一只大圆脸完成签到,获得积分10
7秒前
豆豆完成签到,获得积分10
8秒前
9秒前
王人捷完成签到,获得积分20
10秒前
11秒前
110完成签到,获得积分10
11秒前
11秒前
11秒前
11秒前
fireflieszy完成签到,获得积分10
12秒前
12秒前
12秒前
12秒前
12秒前
行走的荷尔蒙应助肥肥猪采纳,获得30
12秒前
大模型应助月落采纳,获得10
13秒前
寒冷人达完成签到,获得积分10
13秒前
等待胜完成签到 ,获得积分10
14秒前
彭语诺发布了新的文献求助10
14秒前
Nole应助合适的凝安采纳,获得10
15秒前
misa完成签到 ,获得积分10
15秒前
orixero应助光亮小馒头采纳,获得10
15秒前
15秒前
16秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(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
Arthritis and Related Conditions, An Issue of Orthopedic Clinics 1000
Development of a Bridge Weigh-In-Motion System: A technology to convert the bridge response to the passage of traffic into data on vehicle configurations, speeds, times of travel and weights 1000
ズームレンズの光学設計に関する研究 800
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 700
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7293078
求助须知:如何正确求助?哪些是违规求助? 8911840
关于积分的说明 18866375
捐赠科研通 6959898
什么是DOI,文献DOI怎么找? 3209714
关于科研通互助平台的介绍 2379220
邀请新用户注册赠送积分活动 2185740