ABSTRACT
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.
ABSTRACT
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