Reproducibility of mass spectrometry based protein profiles for diagnosis of ovarian cancer across clinical studies: A systematic review
ABSTRACT 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.
SourceAvailable from: Felix Elortza06/2014; DOI:10.1016/j.euprot.2014.02.016
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ABSTRACT: Ovarian cancer causes more deaths than any other malignant tumor of the female reproductive system. This is because the condition usually goes undetected until the late stages. The purpose of the present study is to identify alterations in the serum proteome profile during the development of ovarian cancer and to provide an experimental basis for discovering new and valuable serum biomarkers for the early detection of ovarian carcinoma. Surface-enhanced laser desorption/ionization-time of flight (SELDI-TOF-MS) was used to profile changes in the serum proteome of Fischer 344 rats with ovarian cancer during the progress of tumor development. Sera were collected from the rats on day A (1 week before injection of tumor cells), day B (4 weeks after injection), and day C (6 weeks after injection). Each sample was subjected to SELDI-TOF-MS testing. Peak detection and alignment and selection of peaks with the highest discriminatory power were performed using proteinchip biomarker software. Decision tree analyses were performed using biomarker pattern software. Finally, 3 peaks were found to be the most valuable ones (3759, 4659 and 9318 Da). The expression frequency of m/z 3759-Da peaks was downregulated and another two frequencies (4659 and 9318 Da) were upregulated, and the levels of expression of these three proteins showed the same tendency as the expression frequency during the development of ovarian cancer. The total accuracy rate of diagnosis at 4 and 6 weeks post-injection was 94.7 and 97.3%, respectively. Profiling the serum proteome changes during the process of the cancer development using SELDI-TOF-MS may provide useful information regarding carcinogenesis and facilitate discovery of novel serum biomarkers for early detection.International Journal of Oncology 12/2014; 45(6):2495-501. DOI:10.3892/ijo.2014.2675 · 2.77 Impact Factor
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ABSTRACT: Abstract Peptidomic profiling of peritoneal fluid by Matrix Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry (MALDI-TOF-MS) may represent a promising, suitable, rapid method for early diagnosis and staging of endometriosis. In a case-control study, peritoneal fluid was collected from 23 patients affected by endometriosis (eight minimal/mild endometriosis and 15 moderate/severe endometriosis) and six "endometriosis free" women undergoing laparoscopy. MALDI-TOF mass spectra of the peptide fraction extracted from peritoneal fluid samples lead to identify biomarkers potentially suitable for discriminating between peritoneal fluid samples from women affected by minimal/mild endometriosis and those from women affected by moderate/severe endometriosis. Peptidomic analysis of peritoneal fluid samples may define putative peptide biomarkers suitable for staging endometriosis and improve our understanding of the pathogenesis of endometriosis.Gynecological Endocrinology 08/2014; DOI:10.3109/09513590.2014.943718 · 1.14 Impact Factor