This study focuses on the potential of detecting endometrial cancer based on the proteins and peptides expressed in cervico-vaginal fluid.Sequential window acquisition of all theoretical mass spectra (SWATH-MS), an accurate and reproducible platform for analysing biological samples, offers a technological advance for biomarker discovery due to its reproducibility, sensitivity and potential for data re-interrogation. SWATH-MS requires a spectral library in order to identify and quantify peptides from multiplexed mass spectrometry data.Here, we present a spectral library of thousands of proteins in the cervico-vaginal fluid of women with or at risk of endometrial cancer. Pooled cervico-vaginal fluid samples from 19 women, comprising of 9 endometial cancer cases(both endometriod and non-endometriod), 3 atypical hyperplasias and 7 controls (symptomatic post-menopausal women with no evidence of endometrial cancer) were used for library generation. We have combined these data with a library of over 6,000 proteins generated based on mass spectrometric analysis of two endometrial cancer cell lines This important resource will enable the identification of endometrial cancer biomarkers in cervico-vaginal fluid and advances our knowledge of the role of proteomics in endometrial cancer detection.