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| The Clinical Study of Epidermal Growth Factor Receptor and Lung Cancer Chemotherapy |
| The Affiliated Hospital of Guangdong Medical College，Zhanjiang 524001，China |
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Abstract Objective：To discuss the effects of IB-IIIA non-small cell lung cancer patients of EGFR overall mutation rate on lung cancer chemotherapy by ARMS analysis and detection. Method： 80 cases of lung cancer in the same medical group IAIIIA were selected in the hospital from August 2013 to August 2014， 48 patients of lung cancer in IB-IIIA after radical standard platinum-containing chemotherapy of two drugs for the condition were observed and analysed， the EGFR mutation rate of patients in gender，smoking history and pathological type were compared， the disease-free survival l period（ DFS） of postoperative chemotherapy EGFR gene mutation positive and negative was compared， the differences of drug side effects in WHO standards were compared.Result： 31 cases with lung cancer EGFR mutations in the 80 cases， the mutation rate was 38.75%；37 cases of squamous cell carcinoma，2 cases of EGFR gene mutations， the mutation rate was 5.41%；43 cases of cancer patients， 29 cases of EGFR mutations，the mutation rate was 67.44%， the difference was statistically significant（P<0.05）.IB-IIIA patients with a total of 48 cases，compared the gastrointestinal reactions of 20 cases EGFR gene mutation positive and 28 cases EGFR gene mutation negative， the difference was no statistically significant（P>0.05）；compared the DFS of two groups， the difference was statistically significant（P<0.05）.38 smokers of 20 cases with the former EGFR gene mutations， mutation rate was 52.6%，42 non-smokers of 11 cases with EGFR gene mutations， mutation rate was 26.2%， the difference was statistically significant（P<0.05）.Conclusion：The patients with non-small cell lung cancer has closely related with EGFR gene mutation and pathological type， by comparing mutation rate，the mutation rate of adenocarcinoma is higher than that of squamous cell carcinomas， the EGFR mutation status of patients can be used to predict the chemotherapy of lung cancer.
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