摘要
AIM: To find new potential biomarkers and to establish patterns for early detection of colorectal cancer.METHODS: One hundred and eighty-two serum samples including 55 from colorectal cancer (CRC) patients, 35 from colorectal adenoma (CRA) patients and 92 from healthy persons (HP) were detected by surface-enhanced laser desorption/ionization mass spectrometry (SELDI-MS). The data of spectra were analyzed by bioinformatics tools like artificial neural network (ANN) and support vector machine (SVM).RESULTS: The diagnostic pattern combined with 7 potential biomarkers could differentiate CRC palJents from CRA patients with a specificity of 83%, sensitivity of 89% and positive predictive value of 89%. The diagnostic pattern combined with 4 potential biomarkers could differentiate CRC patients from HP with a specificity of 92%, sensitivity of 89% and positive predictive value of 86%.CONCLUSION: The combination of SELDI with bioinformatics tools could help find new biomarkers and establish patterns with high sensitivity and specificity for the detection of CRC.
AIM:To find new potential biomarkers and to establishpatterns for early detection of colorectal cancer.METHODS:One hundred and eighty-two serum samplesincluding 55 from colorectal cancer(CRC)patients,35 fromcolorectal adenoma(CRA)patients and 92 from healthypersons(HP)were detected by surface-enhanced laserdesorption/ionization mass spectrometry(SELDI-MS).Thedata of spectra were analyzed by bioinformatics tools likeartificial neural network(ANN)and support vector machine(SVM).RESULTS:The diagnostic pattern combined with 7 potentialbiomarkers could differentiate CRC patients from CRA patientswith a specificity of 83%,sensitivity of 89% and positivepredictive value of 89%.The diagnostic pattern combinedwith 4 potential biomarkers could differentiate CRC patientsfrom HP with a specificity of 92%,sensitivity of 89% and positivepredictive value of 86%.CONCLUSION:The combination of SELDI with bioinformaticstools could help find new biomarkers and establish patternswith high sensitivity and specificity for the detection of CRC.
基金
Supported by the Major State Basic Research Development Program of China 973 program,No.G1998051200
