Tran Huu Thien Tran, Nguyen An Thi Viet Nguyen, Doan Minh Thu Doan, Nguyen Ngoc Quang Nguyen, Vuong Dieu Linh Vuong
{"title":"Detection of EGFR mutation and its association with clinicopathological features of non-small cell lung cancer patients","authors":"Tran Huu Thien Tran, Nguyen An Thi Viet Nguyen, Doan Minh Thu Doan, Nguyen Ngoc Quang Nguyen, Vuong Dieu Linh Vuong","doi":"10.31130/ud-jst.2022.292e","DOIUrl":null,"url":null,"abstract":"Alterations in the epidermal growth factor receptor were confirmed to take a significant role in targeted therapy for patients with lung cancer. Studied 299 non-small cell lung cancer patients to determine the distribution of EGFR mutation and its relationship with clinicopathological characteristics of patients. EGFR mutations were analysed by allele-specific PCR on the Cobas z480 system, and the association between EGFR mutations and patient characteristics was analysed by Pearson Chi-square test and Fisher extract test. The results showed that the frequency of EGFR mutation was 38.8%, in which, Ex19Del and L858R substitution were predominant among overall mutation, 45.4% and 29.1%, respectively. There was no difference between EGFR mutations with age, specimen type, tumour size and histopathological subtype. However, there was a strong correlation between EGFR mutation and gender and tumour status (p<0.05). In particularly, Ex19Del and L858R mutation were positively associated with females, while the G719X substitution mainly occurred in male patients.","PeriodicalId":262140,"journal":{"name":"Journal of Science and Technology Issue on Information and Communications Technology","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Science and Technology Issue on Information and Communications Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.31130/ud-jst.2022.292e","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Alterations in the epidermal growth factor receptor were confirmed to take a significant role in targeted therapy for patients with lung cancer. Studied 299 non-small cell lung cancer patients to determine the distribution of EGFR mutation and its relationship with clinicopathological characteristics of patients. EGFR mutations were analysed by allele-specific PCR on the Cobas z480 system, and the association between EGFR mutations and patient characteristics was analysed by Pearson Chi-square test and Fisher extract test. The results showed that the frequency of EGFR mutation was 38.8%, in which, Ex19Del and L858R substitution were predominant among overall mutation, 45.4% and 29.1%, respectively. There was no difference between EGFR mutations with age, specimen type, tumour size and histopathological subtype. However, there was a strong correlation between EGFR mutation and gender and tumour status (p<0.05). In particularly, Ex19Del and L858R mutation were positively associated with females, while the G719X substitution mainly occurred in male patients.