Biomarker discovery in breast cancer serum using 2-D differential gel electrophoresis/ MALDI-TOF/TOF and data validation by routine clinical assays

In the present study, we used 2-D differential gel electrophoresis (2-D DIGE) and MS to screen biomarker candidates in serum samples obtained from 39 patients with breast cancer and 35 controls. First, we pooled the serum samples matched with age and menopausal status. Then, we depleted the two most abundant proteins albumin and IgG by immunoaffinity chromatography under partly denaturing conditions in order to enrich low-abundance proteins and proteins with low molecular weight. Concentrated and desalted samples were labeled with three different CyDyes including one internal standard, pooled from all the samples, and separated with 2-D DIGE in triplicate experiments. Biological variations of the protein expression level were analyzed with DeCyder software and evaluated for reproducibility and statistical significance. The profile of differentially expressed protein spots between patients and controls revealed proapolipoprotein A-I, transferrin, and hemoglobin as up-regulated and three spots, apolipoprotein A-I, apolipoprotein C-III, and haptoglobin alpha2 as down-regulated in patients. Finally, routine clinical immunochemical reactions were used to validate selected candidate biomarkers by quantitative determination of specific proteins in all individual serum samples. The serum level of transferrin correlated well with the 2-D-DIGE results. However, the serum levels of apolipoprotein A-I and haptoglobin could not be detected with the clinical routine diagnostic tests. This demonstrated an advantage 2-D DIGE still has over other techniques. 2-D DIGE can distinguish between isoforms of proteins, where the overall immunochemical quantification does fail due to a lack of isoform-special antibodies.     

Identification of candidate biomarkers in ovarian cancer serum by depletion of highly abundant proteins and differential in‐gel electrophoresis

Ovarian cancer is the fifth leading cause of cancer death for women in the US, yet survival rates are over 90% when it is diagnosed at an early stage, highlighting the need for biomarkers for early detection. To enhance the discovery of tumor‐specific proteins that could represent novel serum biomarkers for ovarian cancer, we depleted serum of highly abundant proteins which can mask the detection of proteins present in serum at low concentrations. Three commercial immunoaffinity columns were used in parallel to deplete the highly abundant proteins in serum from 60 patients with serous ovarian carcinoma and 60 non‐cancer controls. Medium and low abundance serum proteins from each serum pool were then evaluated by the quantitative proteomic technique of differential in‐gel electrophoresis. The number of protein spots that were elevated in ovarian cancer sera by at least twofold ranged from 36 to 248, depending upon the depletion and separation methods. From the 33 spots picked for MS analysis, nine different proteins were identified, including the novel candidate ovarian cancer biomarkers leucine‐rich α2 glycoprotein‐1 and ficolin 3. Western blotting validated the relative increases in serum protein levels for three of the proteins identified, demonstrating the utility of this approach for the identification of novel serum biomarkers for ovarian cancer.     

Identification of differentially expressed, tumor-associated proteins in oral squamous cell carcinoma by proteomic analysis

Oral squamous cellular carcinoma is a malignant tumor with poor prognosis and therefore the discovery of early markers to discriminate malignant from normal cells would be of critical importance in clinical diagnosis. Subcellular fractions from oral squamous cell carcinoma (OSCC) and control samples, enriched in mitochondrial and cytosolic proteins, were analyzed by 2-DE, followed by MALDI-TOF-MS. Twenty proteins showed altered expression levels in OSCC; 14 were up- and 6 were down-regulated in comparison with the control samples. For 11 proteins, cofilin, C-reactive protein precursor, creatine kinase m-chain, fatty acid-binding protein, keratin type II, myosin light chain 2 and 3, nucleoside diphosphate kinase A, phosphoglycerate mutase 1, plakoglobulin, and retinoic acid-binding protein II, it is shown for the first time that they are differentially expressed in OSCC. Proteins with highly up-regulated levels may be of interest as potential diagnostic markers and consequently of clinical interest.     

Sample preparation of human serum for the analysis of tumor markers. Comparison of different approaches for albumin and gamma-globulin depletion

LC-MS is a powerful method for the sensitive detection of proteins and peptides in biological fluids. However, the presence of highly abundant proteins often masks those of lower abundance and thus generally prevents their detection and identification in proteomic studies. In human serum the most abundant proteins are albumin and gamma-globulins. We tested several approaches to specifically reduce the level of these proteins based on either specific antibodies, dye ligands (for albumin) and protein A or G (for gamma-globulins). The resulting, depleted serum was analyzed by sodium dodecylsulfate-polyacrylamide gel electrophoresis and LC-MS for the residual presence of these abundant proteins as well as for other serum proteins that should remain after depletion. To test the applicability of this method to real-life samples, depleted serum of a cervical cancer patient was analyzed for the presence of a specific tumor marker protein SCCA1 (squamous cell carcinoma antigen 1; P29508), which is present at ng/ml concentrations. The results demonstrate that SCCA1 can be detected by LC-MS in patient serum following depletion of albumin and gamma-globulins thus opening the possibility of screening patient sera for other, so far unknown, tumor markers.     

Searching for serum tumor markers for colorectal cancer using a 2‐D DIGE approach

Identification of specific protein markers for colorectal cancer (CRC) could provide a basis for its early diagnosis and detection, as well as clues to the molecular mechanisms governing cancer progression. In the present study, 2‐D DIGE coupled with MS was used to screen for biomarker candidates in the serum proteome of ten human CRC samples and ten healthy control samples. After pooling identical amounts of serum proteins (based on total protein concentration), albumin/IgG was depleted under partially denaturing conditions. Subsequently, the serum samples were labeled with three different CyDyes, and separated by 2‐D DIGE. After analysis with the biological variation analysis module of the DeCyder software, only three spots were found to be significantly elevated in all patient groups (with ratios from 1.52 to 9.08), whereas five spots were significantly down‐regulated in patients (with ratios from ?1.23 to ?10.21) (t‐test; p<0.05). Finally, two potential biomarkers, Transaldolase 1 and thyroid receptor interactor, were chosen for validation and analysis by ELISA with the serum of 30 CRC patients and 30 healthy controls. The serum levels of the two proteins correlated well with the 2‐D DIGE results. Thus, 2‐D DIGE approaches show great promise for biomarker discovery in CRC.     

Microscale solution IEF combined with 2-D DIGE substantially enhances analysis depth of complex proteomes such as mammalian cell and tissue extracts

Current gel-based protein profiling methods such as 2-DE and fluorescent 2-D difference in gel electrophoresis (DIGE) evaluate small portions of complex proteomes. Hence, sample prefractionation is essential for more comprehensive proteome coverage and detection of low-abundant proteins. In this study, we describe the combination of DIGE labeling with microscale solution IEF (MicroSol-IEF) fractionation and subsequent analysis on slightly overlapping narrow pH range 2-D gels. By fluorescently tagging and mixing samples and controls prior to prefractionation, complications resulting from minor run-to-run variations during MicroSol-IEF separations of multiple samples are avoided. This greatly improves the reliability of quantitative comparisons. To illustrate its utility, this 3-D DIGE strategy was applied to analysis of human melanoma cells and mouse lung tissue extracts. Approximately 1000 reproducible spots can be obtained from narrow range 2-D gels of individual MicroSol-IEF fractions, and approximately 6000 spots can be obtained from entire proteomes. Quantitative changes in closely related samples could be more reliably detected and the method has a greatly increased capacity to distinguish between closely related protein isoforms. Thus the 3-D DIGE strategy produces a powerful method for more comprehensive and more reliable quantitative comparisons of protein profiles of very complex proteomes.     

Fasting status as a consideration for human serum collection and preparation prior to depletion and analysis

The use of comparative serum proteomic analysis has the potential to reveal protein expression changes present at different stages of disease progression. Depletion strategies allow for the enrichment of low-abundance proteins, which are more likely to be clinically significant biomarkers. We have observed that patient serum samples filtered through 0.22 microm cellulose acetate spin filters prior to depletion showed a variable level of retention of patient material on the upper part of the filter. This could potentially be related to the fasting status of the patient as a reduction in the lipid content of samples through the incorporation of a centrifugation step prior to filtration was found to reduce this effect. In order to determine if proteins were being selectively retained during filtration, a 2-D difference gel electrophoresis (2-D DIGE) experiment was performed. This demonstrated no significant selective retention of protein within crude serum samples. However, as this analysis was carried out on crude serum, it must be emphasised that protein loss could be manifest in the low-abundance proteins which would be masked in our analysis. Depletion of the retentate was not possible due to technical limitations, however based on our results a centrifugation step might act as an alternative to filtration in serum processing prior to depletion.     

An investigation into the human serum "interactome"

The protein content of human serum is composed of a millieu of proteins from almost every type of cell and tissue within the body. The serum proteome has been shown to contain information that directly reflects pathophysiological states and represents an invaluable source of diagnostic information for a variety of different diseases. Unfortunately, the dynamic range of protein abundance, ranging from > mg/mL level to < pg/mL level, renders complete characterization of this proteome nearly impossible with current analytical methods. To study low-abundance proteins, which have potential value for clinical diagnosis, the high-abundant species, such as immunoglobulins and albumin, are generally eliminated as the first step in many analytical protocols. This step, however, is hypothesized to concomitantly remove proteins/peptides associated with the high-abundant proteins targeted for depletion. In this study, immunoprecipitation was combined with microcapillary reversed-phase liquid chromatography (microRPLC) coupled on-line with tandem mass spectrometry (MS/MS) to investigate the low-molecular-weight proteins/peptides that associate with the most abundant species in serum. By this targeted isolation of select highly abundant serum proteins, the associated proteins/peptides can be enriched and effectively identified by microRPLC-MS/MS. Among the 210 proteins identified, 73% and 67% were not found in previous studies of the low-molecular-weight or whole-serum proteome, respectively.     

Analysis of Ras-induced oncogenic transformation of NIH-3T3 cells using differential-display 2-DE proteomics

Ras proteins control at least three crucial signalling networks responsible for several cellular processes including anchorage independence, survival, and proliferation. Point mutations in one of the three ras genes are frequent in human tumours. In these tumours, Ras oncoproteins contribute significantly to the malignant phenotype, including deregulation of tumour-cell growth, apoptosis and invasiveness, and the ability to induce angiogenesis. Although significant strides have been made in understanding Ras biology, the collaborative actions of Ras effectors are still poorly understood. Here, we describe a proteomics approach to study global changes in protein expression in Ras-transformed NIH3T3 cells. We exploited 2-D difference gel electrophoresis (DIGE) for pre-separation fluorescent protein labelling with three separate dyes to reduce gel-to-gel variability, to increase sensitivity and dynamic range of protein detection, and to enhance quantification of dysregulated proteins. Proteins dysregulated (> 1.5-fold) by oncogenic Ras transformation reported to be implicated in Ras-regulated pathways include S-methyl-5-thioadenosine phosphorylase, stress-induced-phosphoprotein 1, galectin-1, annexin A7 (synexin), 60S acidic ribosomal protein P0, serine/threonine protein phosphatase type 1 (PP1alpha) and prohibitin. Significantly, we report for the first time the expression of the newly discovered cytokine IL-25 (or IL-17E) in mouse embryonic fibroblast cells and its down-regulation (2.1-fold) upon Ras-induced oncogenic transformation.     

Reversed-phase high-performance liquid chromatography prefractionation prior to two-dimensional difference gel electrophoresis and mass spectrometry identifies new differentially expressed proteins between striate cortex of kitten and adult cat

Two-dimensional difference gel electrophoresis (2-D DIGE), in combination with mass spectrometry, is a highly effective method for the rapid and reproducible detection of differentially expressed proteins. This approach, however, has the unfortunate drawback that it preferentially displays rather abundantly expressed proteins. Nevertheless, comparison of the protein expression levels of the striate cortex of adult cats and 30-day-old kittens, resulted in the identification of several proteins related to postnatal brain development and possibly age-dependent plasticity as well (Van den Bergh et al., J. Neurochem. 2003, in press). The goal of the present study was the selective enrichment and identification of less abundant proteins within the same paradigm. Hereto, we performed a reversed-phase chromatography prefractionation of our tissue lysate to separate the proteins in four fractions based on their hydrophobicity prior to 2-D DIGE analysis. This approach not only confirmed the differential expression levels of a number of proteins from the previous study, but also identified three additional proteins preferentially expressed in kitten visual cortex and five additional proteins with higher expression levels in adult cat visual cortex. These spots were not visible on the total tissue lysate protein maps, indicating that the high-performance liquid chromatography (HPLC) prefractionation enabled us to visualize additional, less abundant proteins.     

非小细胞肺癌患者尿中Exosomes蛋白质组的差异表达分析

除血浆之外,尿液是另一种寻找潜在生物标志物的重要生物材料。本研究以200000×g超速离心法分离正常人和非小细胞肺癌(NSCLC)患者尿液中的Exosomes,运用1DSDS-PAGE对Exosomes蛋白质组进行分组,从电泳胶上切取正常组和疾病组的20～31kDa条带,胰蛋白酶酶解后,进行HPLC-CHIP-MS/MS分析,并通过UniProtKB/SWISS-PORT数据库搜索鉴定了24种蛋白质,其中在NSCLC患者尿液Exosomes蛋白质组中发现了8种差异表达蛋白,包括免疫球蛋白κ的3个片段、2种Ras相关蛋白、谷胱甘肽S转移酶A2、血清淀粉样P成分前体和磷脂酰乙醇胺结合蛋白1。     

Ultrasensitive assays for proteins

Proteins are essential components of organisms and are involved in a wide range of biological functions. There are increasing demands for ultra-sensitive protein detection, because many important protein biomarkers are present at ultra-low levels, especially during the early stages of disease. Measuring proteins at low levels is also crucial for investigations of the protein synthesis and functions in biological systems. In this review, we summarize the recent developments of novel technology enabling ultrasensitive protein detection. We focus on two groups of techniques that involve either polymerase amplification of affinity DNA probes or signal amplification by the use of nano-/micro-materials. The polymerase-based amplification of affinity DNA probes indirectly improves the sensitivity of protein detection by increasing the number of detection molecules. The use of nano-/micro-materials conjugated to affinity probes enhances the measurement signals by using the unique electrical, optical, and catalytic properties of these novel materials. This review describes the basic principles, performances, applications, merits, and limitations of these techniques.     

Tumor pleural effusion proteome profiling for ovarian cancer biomarkers mining

Mass spectrometric proteome profiling of tumor pleural effusion (TPE) liquid fraction from ovarian cancer patients was performed to identify the potential biomarkers of the disease. The methodology of analysis of the TPE protein composition included the removal of high-abundant proteins by affinity chromatography, additional fractionation of the low-abundant proteins based on their lipophilicity, and high-resolution mass spectrometric analysis. As a result, 190 proteins were indentified, 49% of them belonging to the groups of extracellular and membrane proteins. The application of several criteria to data analysis allowed us to generate a group of 26 proteins that are promising candidates for testing as ovarian cancer biomarkers.     

Combination of affinity depletion of abundant proteins and reversed-phase fractionation in proteomic analysis of human plasma/serum

The tremendous complexity of the serum and plasma proteome presents extreme analytical challenges in comprehensive analysis due to the wide dynamic range of protein concentrations. Therefore, robust sample preparation methods remain one of the important steps in the proteome characterization workflow. We present the results on a new column for the specific depletion of 14 high-abundant proteins from human serum and plasma and the subsequent reversed-phase fractionation of the flow-through proteins. Analysis of tryptic peptides was accomplished with microfluidic HPLC-Chip/MS system. Results indicate that high-abundant protein depletion combined with RP fractionation of plasma showed an improved dynamic range for proteomic analysis and enabled the identification of low-abundant plasma proteins.     

A proteomic approach to investigate potential biomarkers directed against membrane-associated breast cancer proteins

The identification of specific protein markers for breast cancer would provide the basis for early diagnosis. Particularly, membrane and membrane-associated proteins are rich in targets for antibodies that may constitute suitable biomarkers of carcinogenesis. However, membrane proteins separation using 2-DE remains difficult. In this work, the breast cancer cell line MCF7 was used as source of proteins for the screening of potential cell membrane-associated antigens recognized by autoantibodies in patients with breast cancer and healthy volunteers. The protein extract obtained using trifluoroethanol (TFE) as cosolvent was compared to a total cell lysate protein extract prepared by a current technique. After 2-DE separation of the two extracts, their protein patterns clearly differed. About 63% of the proteins identified in the TFE-extract were predicted to possess at least one transmembrane domain. 2-D blots probed with sera from cancer patients or from healthy volunteers showed that, as expected, additional antigens were provided in the TFE-extract. Thus, the method described here appeared well suited for proteomic investigation of potential biomarkers undetected by current techniques.     

Identification of potential lung cancer biomarkers using an in vitro carcinogenesis model

Lung cancer is one of the deadliest and commonly diagnosed neoplasms. Early diagnosis of this disease is critical for improving clinical outcome and prognosis. Because the early stages of lung cancer often produce no symptoms, it is necessary to identify biomarkers for early detection, prognostic evaluation, and recurrence monitoring of the cancer. To identify potential lung cancer biomarkers, we analyzed the differential protein secretion from transformed bronchial epithelial cells (1198 and 1170-I) as compared to immortalized normal bronchial epithelial cells (BEAS-2B) and non-transformed cells (1799) all of which are derived from BEAS-2B and represent multistage bronchial epithelial carcinogenesis. The proteins recovered from the conditioned media of the cells were separated on two-dimensional gels. There was little difference between the secretome of the BEAS-2B and 1799 cells, whereas the patterns between the transformed 1198 and 1170-I cells and non-transformed 1799 cells were significantly different. Using mass spectrometry and database search, we identified 20 proteins including protein gene product 9.5 (PGP9.5), translationally controlled tumor protein (TCTP), tissue inhibitors of metalloproteinases-2 (TIMP-2), and triosephosphate isomerase (TPI), that were either increased or decreased simultaneously in conditioned media of both 1198 and 1170-I cells. Furthermore, levels of PGP9.5, TCTP, TIMP-2, and TPI were significantly increased not only in the conditioned media of both transformed cell lines when compared to those of BEAS-2B and 1799 cells, but also in plasmas and tissues from lung cancer patients when compared to those in normal controls. We suggest the PGP9.5, TCTP, TIMP-2, and TPI as promising candidates for lung cancer serum biomarkers.     

Expression of high-abundance proteins in sera of patients with endometrial and cervical cancers: analysis using 2-DE with silver staining and lectin detection methods

The expression of high-abundance serum proteins in newly diagnosed patients with endometrial adenocarcinoma (EACa), squamous cell cervical carcinoma (SCCa) and cervical adenocarcinoma (ACCa), relative to control female subjects, was analyzed by subjecting serum samples to 2-DE followed by image analysis of the silver-stained protein profiles. The three cohorts of cancer patients demonstrated different altered expression of serum high-abundance proteins compared to negative control women. The expression of alpha1-antitrypsin, alpha1-B glycoprotein, cleaved high-molecular-weight kininogen (light chain) and antithrombin III were consistently altered in all the patients. However, clusterin was upregulated only in the patients with EACa, while those with SCCa and ACCa were typically characterized by the upregulated expression of zinc alpha-2-glycoprotein. The aberrant expression of selective serum proteins in the various cohorts of cancer patients was validated by competitive ELISA as well as by lectin detection. Analysis by using the champedak galactose binding lectin further highlighted an unidentified protein that may be differently glycosylated in the sera of the EACa patients that were studied.     

Comparative profiling of plasma proteome from breast cancer patients reveals thrombospondin-1 and BRWD3 as serological biomarkers

Breast cancer is the most common cancer in women worldwide. It is necessary to identify biomarkers for early detection, to make accurate prognoses, and to monitor for any recurrence of the cancer. In order to identify potential breast cancer biomarkers, we analyzed the plasma samples of women diagnosed with breast cancer and age-matched normal healthy women by mTRAQ-based stable isotope-labeling mass spectrometry. We identified and quantified 204 proteins including thrombospondin-1 (THBS1) and bromodomain and WD repeat-containing protein 3 (BRWD3) which were increased by more than 5-fold in breast cancer plasma. The plasma levels of the two proteins were evaluated by Western blot assay to confirm for their diagnostic value as serum markers. A 1.8-fold increase in BRWD3 was observed while comparing the plasma levels of breast cancer patients (n = 54) with age-matched normal healthy controls (n = 30), and the area under the receiver operating characteristic curve (AUC) was 0.917. THBS1 was detected in pooled breast cancer plasma at the ratio similar to mTRAQ ratio (> 5-fold). The AUC value for THBS1 was 0.875. The increase of THBS1 was more prominent in estrogen receptor negative and progesterone receptor negative patients than receptor-positive patients. Our results are evidence of the diagnostic value of THBS1 in detecting breast cancer. Based on our findings, we suggest a proteomic method for protein identification and quantification lead to effective biomarker discovery.     

Protein abundance alterations in matched sets of macroscopically normal colon mucosa and colorectal carcinoma

Our current results, aimed at the detection of protein abundance alterations that could be associated with the process of colon tumorigenesis, are summarized. The matched sets of macroscopically normal colon mucosa and colorectal carcinoma were examined by a one- or two-dimensional electrophoretic approach and proteins were identified using immunoblotting or mass spectrometry. The following results were observed: The levels of liver fatty acid-binding protein, actin-binding protein/smooth muscle protein 22-alpha and cyclooxygenase 2 were downregulated in colorectal carcinoma compared to normal colon mucosa. Conversely, the expression of a novel variant of heat shock protein70 and several members of the S100 protein family of calcium-binding proteins (two isoforms of S100A9, S100A8, S100A11 and S100A6) were upregulated in transformed colon mucosa. Despite the variations of the levels of expression of given protein among analyzed samples, all quantitative changes were found to be statistically significant (Mann-Whitney test assuming p < or = 0.05). We conclude that the proteomic approach is useful for the study of complex biological events underlying the process of colorectal tumorigenesis.     

Unmasking low-abundance peptides from human blood plasma and serum samples by a simple and robust two-step precipitation/immunoaffinity enrichment method

Proteomic analysis of human plasma and serum for identifying and validating disease-specific marker proteins and peptides has one major drawback besides its unique advantage as a readily available sample source for diagnostic assays. This disadvantage is represented by the predominance of several high- and middle-abundant proteins, which clearly hamper identification and quantification approaches of potential and validated protein and peptide biomarkers, which are often of very low abundance. During the last decades, a significant number of depletion and enrichment techniques evolved to address these two issues. We present here a cost-effective and easy-to-use strategy for protein depletion comprising a thermal precipitation protocol followed by a two-step liquid/liquid precipitation as well as using an immunoaffinity chromatography method for the specific enrichment and isolation of the low-abundance polypeptide N-terminal pro-B-type natriuretic peptide and its precursor proBNP clinically used as biomarkers for the detection of severe human heart failure and related diseases. The applicability of this approach is shown by SDS -CGE, SDS-PAGE, electrochemiluminescence immunoassay and nano-LC ESI-MS/MS. Our thermal precipitation protocol followed by a two-step liquid/liquid precipitation could also serve as a potential depletion technique for the characterization of other low-abundance peptides and proteins.