Abstract: Objective To establish ovarian cancer serum diagnosis models and to find potential biomarkers with MALDI-TOF MS. Methods Twenty ovarian cancer patients and 20 healthy controls were enrolled to pre-extract the serum samples using the MB-WCX kit.Then,linear mode was used to obtain MALDI-TOF protein profiles,to establish serum diagnosis models,and to find some prominent proteins. Results Ovarian cancer serum diagnosis models were established and some prominent peaks that could be used as potential ovarian cancer biomarkers were found.The sensitivity and specificity were both more than 90%according to GA,SNN and QC methods.Some of the proteins could be used to differentiate diseased people from healthy ones. Conclusion s MALDI-TOF MS is a high-throughput sample preparation method and a potential tool for the diagnosis of human diseases.It can be used not only to establish serum diagnosis models,but also to search for potential biomarkers in ovarian cancer patients′serum samples.Thus it has a good future for routine clinical work.