Introduction: Ovarian cancer is the leading cause of death from gynecological cancer. Non-specific symptoms early in disease and the lack of specific biomarkers hinder early diagnosis. Multi-marker blood screening tests have shown promise for improving identification of early stage disease; however, available tests lack sensitivity, and specificity.
View Article and Find Full Text PDFPurpose: To evaluate the utility of an enhanced biomarker discovery approach in order to identify potential biomarkers relevant to ovarian cancer detection.
Experimental Design: We combined immuno-depletion, liquid-phase IEF, 1D-DIGE, MALDI-TOF/MS and LC-MS/MS to identify differentially expressed proteins in the plasma of symptomatic ovarian cancer patients, stratified by stage, compared to samples obtained from normal subjects.
Results: We demonstrate that this approach is a practical alternative to traditional 2D gel techniques and that it has some advantages, most notably increased protein capacity.
© LitMetric 2025. All rights reserved.