MULTIPLE HIGH-RESOLUTION SERUM PROTEOMIC FEATURES FOR OVARIAN CANCER DETECTION

摘要

A well-controlled serum study set (n = 248) from women being followed and evaluated for the presence of ovarian cancer was used to extend serum proteomic pattern analysis to a higher resolution mass spectrometer instrument platform to explore the existence of multiple distinct highly accurate diagnostic sets of features present in the same mass spectrum. Multiple highly accurate diagnostic proteomic feature sets exist within human sera mass spectra. Using high-resolution mass spectral data, at least 56 different patterns were discovered that achieve greater than 85 % sensitivity and specificity in testing and validation. Four of those feature sets exhibited 100 % sensitivity and specificity in blinded validation. The sensitivity and specificity of diagnostic models generated from high-resolution mass spectral data were superior (P < 0.00001) than those generated from low-resolution mass spectral data using the same input sample.