Determination of risk for Barrett's esophagus and esophageal adenocarcinoma

被引:13
|
作者
Thrift, Aaron P. [1 ,2 ]
机构
[1] Baylor Coll Med, Sect Gastroenterol & Hepatol, Dept Med, Houston, TX 77030 USA
[2] Baylor Coll Med, Dan L Duncan Comprehens Canc Ctr, One Baylor Plaza,MS BCM305, Houston, TX 77030 USA
关键词
epidemiology; esophageal neoplasms; genes; obesity; risk prediction; GASTROESOPHAGEAL-REFLUX DISEASE; INTERNATIONAL BEACON CONSORTIUM; HELICOBACTER-PYLORI INFECTION; ANTIINFLAMMATORY DRUG-USE; SQUAMOUS-CELL CARCINOMA; USE REDUCES RISK; POOLED ANALYSIS; STATIN USE; ESOPHAGOGASTRIC JUNCTION; BIOELECTRICAL-IMPEDANCE;
D O I
10.1097/MOG.0000000000000274
中图分类号
R57 [消化系及腹部疾病];
学科分类号
摘要
Purpose of review The incidence of esophageal adenocarcinoma and its precursor, Barrett's esophagus, have increased greatly over the past 40 years and continue to rise. This report summarizes the most recent data on the risk factors for Barrett's esophagus and esophageal adenocarcinoma. Recent findings Other factors, highly correlated with increasing trends for obesity, are the dominant driver of the increase in incidence of esophageal adenocarcinoma, interacting with gastroesophageal reflux disease symptoms. Abdominal obesity, independently of gastroesophageal reflux disease symptoms, is associated with increased risk of Barrett's esophagus and this association is likely mediated by high levels of leptin and insulin. Use of aspirin, nonsteroidal anti-inflammatory drugs, statins, and proton pump inhibitors are associated with a reduced risk of Barrett's esophagus as well as lower risk of neoplastic progression in patients with Barrett's esophagus. An increasing number of genetic loci have been associated with risk of Barrett's esophagus and esophageal adenocarcinoma. Summary Recent advances in identifying risk factors and reporting of more precise estimates of effect for the main risk factors will positively impact clinical risk stratification efforts for Barrett's esophagus and esophageal adenocarcinoma. Large pooling studies are underway to derive and validate reliable clinical risk models.
引用
收藏
页码:319 / 324
页数:6
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