Targeted mass spectrometry analysis of the proteins IGF1, IGF2, IBP2, IBP3 and A2GL by blood protein precipitation.

Biomarker analysis of blood samples by liquid chromatography (LC) mass spectrometry (MS) is extremely challenging due to the high protein concentration range, characterised by abundant proteins that suppress and mask other proteins of lower abundance. This situation is further aggravated when using fast high-throughput methods, which are necessary for analysis of hundreds and thousands of samples in clinical laboratories. The blood proteins IGF1, IGF2, IBP2, IBP3 and A2GL have been proposed as indirect biomarkers for detection of GH administration and as putative biomarkers for breast cancer diagnosis. We describe a sensitive and scalable method to quantify these 5 proteins of medium and low abundance by selected reaction monitoring (SRM) LC-MS/MS analysis in blood samples. Our method requires 7µL of plasma and reaches a throughput of up to ca. 80 analyses per day. It includes an initial protein precipitation protocol optimised for extraction of low mass proteins from blood samples for reduced signal suppression and increased sensitivity in LC-MS/MS. We benchmarked this method for the analysis of 40 individual blood samples including 20 patients diagnosed with breast cancer. BIOLOGICAL SIGNIFICANCE: The interest for MS-based biomarker analysis in body fluids is steadily increasing as proteomics methodology translates into clinical laboratories. We describe a method for detection of 5 distinct proteins of low mass and medium to low abundance, which are of interest in anti-doping and clinical analysis. The analytical setup is simple and robust and is suitable for high-throughput instrument configurations.

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.

Serum peptide/protein profiling by mass spectrometry provides diagnostic information independently of CA125 in women with an ovarian tumor.

In the present study, the use of a robust and sensitive mass spectrometry based protein profiling analysis was tested as diagnostic tools for women with an ovarian tumor. The potential additional diagnostic value of serum protein profiles independent of the information provided by CA125 were also investigated. Protein profiles of 113 serum samples from women with an ovarian tumor (54 malign and 59 benign) were generated using MALDI-TOF MS. A total of 98 peaks with a significant difference (p< 0.01) in intensity between women with benign tumors/cysts and malignant ovarian tumors were identified. After average linkage clustering, a profile of 46 statistical significant mass peaks was identified to distinguish malignant tumors and benign tumors/cysts. In the subgroup of women with normal CA125 values (< or =35 U/mL) (62 patients) 36 of the 504 mass peaks showed significant (p< 0.05) differences in intensity between benign and malignant disease. After average linkage clustering, 25 statistical significant mass values were identified in this clinical difficult and important subgroup presenting with normal CA125 values. The current study demonstrates the potential of mass spectrometry based serum protein profiling as a diagnostic tool in discrimination between benign ovarian tumors/cysts and malignant ovarian tumors. Additionally, the method provided diagnostic information independent of CA125.

Serum protein profiling by solid phase extraction and mass spectrometry: a future diagnostics tool?

Serum protein profiling by MS is a promising method for early detection of disease. Important characteristics for serum protein profiling are preanalytical factors, analytical reproducibility and high throughput. Problems related to preanalytical factors can be overcome by using standardized and rigorous sample collection and sample handling protocols. The sensitivity of the MS analysis relies on the quality of the sample; consequently, the blood sample preparation step is crucial to obtain pure and concentrated samples and enrichment of the proteins and peptides of interest. This review focuses on the serum sample preparation step prior to protein profiling by MALDI MS analysis, with particular focus on various SPE methods. The application of SPE techniques with different chromatographic properties such as RP, ion exchange, or affinity binding to isolate specific subsets of molecules (subproteomes) is advantageous for increasing resolution and sensitivity in the subsequent MS analysis. In addition, several of the SPE sample preparation methods are simple and scalable and have proven easy to automate for higher reproducibility and throughput, which is important in a clinical proteomics setting.

Combined experimental and statistical strategy for mass spectrometry based serum protein profiling for diagnosis of breast cancer: a case-control study.

Serum protein profiling by mass spectrometry is a promising method for early detection of cancer. We have implemented a combined strategy based on matrix-assisted laser desorption ionization mass spectrometry (MALDI MS) and statistical data analysis for serum protein profiling and applied it in a well-described breast cancer case-control study. A rigorous sample collection protocol ensured high quality specimen and reduced bias from preanalytical factors. Preoperative serum samples obtained from 48 breast cancer patients and 28 controls were used to generate MALDI MS protein profiles. A total of nine mass spectrometric protein profiles were obtained for each serum sample. A total of 533 common peaks were defined and represented a 'reference protein profile'. Among these 533 common peaks, we identified 72 peaks exhibiting statistically significant intensity differences ( p < 0.01) between cases and controls. A diagnostic rule based on these 72 mass values was constructed and exhibited a cross-validated sensitivity and specificity of approximately 85% for the detection of breast cancer. With this method, it was possible to distinguish early stage cancers from controls without major loss of sensitivity and specificity. We conclude that optimized serum sample handling and mass spectrometry data acquisition strategies in combination with statistical analysis provide a viable platform for serum protein profiling in cancer diagnosis.

Reproducibility of mass spectrometry based protein profiles for diagnosis of breast cancer across clinical studies: a systematic review.

Serum protein profiling by mass spectrometry has achieved attention as a promising technology in oncoproteomics. We performed a systematic review of published reports on protein profiling as a diagnostic tool for breast cancer. The MEDLINE, EMBASE, and COCHRANE databases were searched for original studies reporting discriminatory protein peaks for breast cancer as either protein identity or as m/ z values in the period from January 1995 to October 2006. To address the important aspect of reproducibility of mass spectrometry data across different clinical studies, we compared the published lists of potential discriminatory peaks with those peaks detected in an original MALDI MS protein profiling study performed by our own research group. A total of 20 protein/peptide profiling studies were eligible for inclusion in the systematic review. Only 3 reports included information on protein identity. Although the studies revealed a considerable heterogeneity in relation to experimental design, biological variation, preanalytical conditions, methods of computational data analysis, and analytical reproducibility of profiles, we found that 45% of peaks previously reported to correlate with breast cancer were also detected in our experimental study. Furthermore, 25% of these redetected peaks also showed a significant difference between cases and controls in our study. Thus, despite known problems related to reproducibility, we were able to demonstrate overlap in peaks between clinical studies indicating some convergence toward a set of common discriminating, reproducible peaks for breast cancer. These peaks should be further characterized for identification of the protein identity and validated as biomarkers for breast cancer.

Reproducibility of serum protein profiling by systematic assessment using solid-phase extraction and matrix-assisted laser desorption/ionization mass spectrometry.

Protein profiling of human serum by matrix-assisted laser desorption/ionization mass spectrometry (MALDI MS) is potentially a new diagnostic tool for early detection of human diseases, including cancer. Sample preparation is a key issue in MALDI MS and the analysis of complex samples such as serum requires optimized, reproducible methods for handling and deposition of protein samples. Data acquisition in MALDI MS is also a critical issue, since heterogeneity of sample deposits leads to attenuation of ion signals in MALDI MS. In order to improve the robustness and reproducibility of MALDI MS for serum protein profiling we investigated a range of sample preparation techniques and developed a statistical method based on repeated analyses for evaluation of protein-profiling performance of MALDI MS. Two different solid-phase extraction (SPE) methods were investigated, namely custom-made microcolumns and commercially available magnetic beads. Using these two methods, nineteen different sample preparation methods for serum profiling by MALDI MS were systematically tested with regard to matrix selection, stationary phase, selectivity, and reproducibility. Microcolumns were tested with regard to chromatographic properties; reversed phase (C8, C18, SDB-XC), ion-exchange (anion, weak cation, mixed-phase (SDB-RPS)) and magnetic beads were tested with regard to chromatographic properties; reversed phase (C8) or affinity chromatography (Cu-IMAC). The reproducibility of each sample preparation method was determined by enumeration and analysis of protein signals that were detected in at least six out of nine spectra obtained by three triplicate analyses of one serum sample.A candidate for best overall performance as evaluated by the number of peaks generated and the reproducibility of mass spectra was found among the tested methods. Up to 418 reproducible peaks were detected in one cancer serum sample. These protein peaks can be part of a possible diagnostic profile, suggesting that this sample preparation method and data acquisition approach is suitable for large-scale analysis of serum samples for protein profiling.

Serum protein profiling by miniaturized solid-phase extraction and matrix-assisted laser desorption/ionization mass spectrometry.

Serum profiling by matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS) holds promise as a clinical tool for early diagnosis of cancer and other human diseases. Sample preparation is key to achieving reproducible and well-resolved signals in MALDI-MS; a prerequisite for translation of MALDI-MS based diagnostic methods to clinical applications. We have investigated a number of MALDI matrices and several miniaturized solid-phase extraction (SPE) methods for serum protein concentration and desalting with the aim of generating reproducible, high-quality protein profiles by MALDI-MS. We developed a simple protocol for serum profiling that combines a matrix mixture of 2,5-dihydroxybenzoic acid and alpha-cyano-4-hydroxycinnamic acid with miniaturized SPE and MALDI-MS. Functionalized membrane discs with hydrophobic, ion-exchange or chelating properties allowed reproducible MALDI mass spectra (m/z 1000-12,000) to be obtained from serum. In a proof-of-principle application, SPE with chelating material and MALDI-MS identified protein peaks in serum that had been previously reported for distinguishing a person diagnosed with breast cancer from a control. These preliminary results indicate that this simple SPE/MALDI-MS method for serum profiling provides a versatile and scalable platform for clinical proteomics.