Using And Study Of Proteomic Patterns In Serum To Diagnose Colorectal Carcinomas Early

Objective Our study aimed at establishing a serum protein fingerprinting tecnich coupled with a patter-matching algorithm to distinguishi colorectal from benign colorectal disease and healthy peopleMethods Preliminary group and test group were both random selected serum samples ,whith each comprises 26 cases of colorectal cancer ,31 healthy people ,and 12 cases of benign colorectal diseases.the reading data of surface enhanced laser desorption /ionization-time of flight-mass spectrometry(SELDI-TOF-MS)was analyzed by Biomarker Wizard software dnd Biomarker pattern software to get a classication rule of tree ,which is standard configuration that can distinguish the sera of colorectal cancer patients from the sera of benign colorectal disease patients and healthy people ,and the standard was approved test validity by double-blind in the test group . Results At the key M/Zvalues of 7157 Da,4097 Da, Da,2873 Da, 2939 Da, 7794 Da ,5 protein contents of the three classes in preliminary group are obviouslydifferent by the software analysis .And the classification rule of tree was discovered, after double blind examining the group with that rule, corrisponding sensitivity was 96.87% and specificity was 100%.Conclusion Via comparative proteomics research in the sera of colorectal cancer patients and benign colorectal disease patients and healthy people ,the geoup of protein was obviously different in pathological process in discovering colorectal cancer .