J F Lechner, R E Neft, F D Gilliland, R E Crowell, S A Belinsky
{"title":"Molecular identification of individuals at high risk for lung cancer.","authors":"J F Lechner, R E Neft, F D Gilliland, R E Crowell, S A Belinsky","doi":"10.1002/(SICI)1520-6823(1997)5:3<103::AID-ROI3>3.0.CO;2-1","DOIUrl":null,"url":null,"abstract":"<p><p>The objective of the work reviewed herein was to evaluate whether a cancerization field-consisting of cells with genetic alterations can be detected within normal-appearing bronchial epithelium. By using fluorescence in situ hybridization (FISH) for trisomy 7, cancerization fields were detected in the majority of cancer patients and also in significant percentages of cancer-free tobacco smokers and former uranium miners. These results suggest that molecular analyses may enhance the power of detecting premalignant changes in bronchial epithelium and may ultimately lead to identifying persons at greatest risk for developing lung cancer.</p>","PeriodicalId":20894,"journal":{"name":"Radiation oncology investigations","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"1997-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/(SICI)1520-6823(1997)5:3<103::AID-ROI3>3.0.CO;2-1","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Radiation oncology investigations","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1002/(SICI)1520-6823(1997)5:3<103::AID-ROI3>3.0.CO;2-1","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
The objective of the work reviewed herein was to evaluate whether a cancerization field-consisting of cells with genetic alterations can be detected within normal-appearing bronchial epithelium. By using fluorescence in situ hybridization (FISH) for trisomy 7, cancerization fields were detected in the majority of cancer patients and also in significant percentages of cancer-free tobacco smokers and former uranium miners. These results suggest that molecular analyses may enhance the power of detecting premalignant changes in bronchial epithelium and may ultimately lead to identifying persons at greatest risk for developing lung cancer.