Reproducibility of mass spectrometry based protein profiles for diagnosis of ovarian cancer across clinical studies: A systematic review

The focus of this systematic review is to give an overview of the current status of clinical protein profiling studies using MALDI and SELDI MS platforms in the search for ovarian cancer biomarkers. A total of 34 profiling studies were qualified for inclusion in the review. Comparative analysis of published discriminatory peaks to peaks found in an original MALDI MS protein profiling study was made to address the key question of reproducibility across studies. An overlap was found despite substantial heterogeneity between studies relating to study design, biological material, pre-analytical treatment, and data analysis. About 47% of the peaks reported to be associated to ovarian cancer were also represented in our experimental study, and 34% of these redetected peaks also showed a significant difference between cases and controls in our study. Thus, despite known problems related to reproducibility an overlap in peaks between clinical studies was demonstrated, which indicate convergence toward a set of common discriminating, reproducible peaks for ovarian cancer. The potential of the discriminating protein peaks for clinical use as ovarian cancer biomarkers will be discussed and evaluated. This article is part of a Special Issue entitled: Proteomics: The clinical link.

Study flow diagram for identifying articles relevant for the systematic review of protein profiling studies using the MALDI and SELDI MS platforms in the search for ovarian cancer biomarkers.Figure optionsDownload high-quality image (69 K)Download as PowerPoint slideHighlights
► Systematic review of protein profiling studies searching for ovarian cancer markers.
► Comparative analysis with an original study was made.
► The key question of reproducibility across studies was addressed.
► An overlap was found despite substantial heterogeneity between studies.
► The results indicated a convergence toward a set of common discriminating peaks.