Objective To analyze the epidemud growth factor receptor(EGFR)mutations in NSCLC patients in Fujian province.Methods Fresh specimens of lung cancer and corresponding normal lung tissue were collected from 50 cases of NSCLC patients.After DNA extraction,nested polymerase chain reaction (nested PCR)and direct deoxyribonucleic acid(DNA)sequencing were used to analyze EGFR gene mutations in NSCLC patients.Results EGFR mutations in tumors were identified from 13 of 50(26%)patients,including 10 cages of in-frame deletion in exon 19 and 3 cases of amino acid substitution in exon 21.Conclusion The mjor type of EGFR mutation in NSCLC patients in Fujian is in-frame deletion in exon 19.

Objective To analyze the characteristic of serum proteins in non-small cell lung cancer (NSCLC) patients, establish serum markers pattern for the diagnosis of NSCLC. Methods Surface enhanced laser desorption ionization time of flight mass spectormetry ( SELDI-TOF-MS) technology was used to analyze serum samples. Bio-marker Pattern Software (BPS) was used to detect the protein peaks. Results Sixteen significantly different pro-tein peaks were found in serum samples in NSCLC patients and healthy controls. Eight up-regulated protein peaks and eight down-regulated protein peaks ( P < 0. 001 ) were identified in serum samples of NSCLC patients. Three up-regulated protein peaks(P <0. 05) were identified in serum samples of patients of NSCLC with smoking history. Two up-regulated protein peaks(P <0. 01) were identified in serum samples of patients of squamous carcinoma comparing with adenocarcinoma. No significantly different protein peak was found in serum samples of NSCLC patients at different clinical stages . Conclusion SELDI - TOF - MS technology can identify different protein peaks and so function as a diagnostic tool with high sensitivity and specificity.

Objective To analyze the characteristic of serum proteins in non-small cell lung cancer (NSCLC) patients,establish serum markers pattern for the diagnosis of NSCLC. Methods Surface enhanced laser desorption ionization time of flight mass spectormetry(SELDI-TOF-MS) technology was used to analyze serum samples. Biomarker Pattern Software (BPS) was used to detect the protein peaks. Results Sixteen significantly different protein peaks were found in serum samples in NSCLC patients and healthy controls. Eight up-regulated protein peaks and eight down-regulated protein peaks (P