A pilot study to investigate the potential of mass spectrometry profiling in the discovery of novel serum markers in chronic renal disease.

PURPOSE: There has been significant criticism of how technologies such as SELDI have been used in biomarker discovery and how the data have been analysed. We initiated a proof-of-principle pilot study using SELDI with stringent pre-analytic and analytical procedures with robust statistical analysis, to determine whether, under such conditions, using different degrees of renal dysfunction as a model, useful data could be obtained. EXPERIMENTAL DESIGN: SELDI-TOF-MS profiling with stringent quality control measures was used to examine the proteomic profile of serum from healthy controls (n=30), patients with end-stage renal failure being treated by dialysis (n=30) and renal transplant patients (n=50) with varying degrees of graft stability. RESULTS: Principal component analysis of the data suggests that the continuum from normality to end-stage renal failure through 'stable' and 'unstable' transplant may be detected by SELDI profiling. Serum ß2 microglobulin was identified as a major component and this was validated using immunonephelometry. CONCLUSIONS AND CLINICAL RELEVANCE: This pilot study suggests that stringently controlled SELDI analysis is able to detect proteins which may be useful in the stratification of patients post-renal transplant. Further studies using a larger cohort of patients with chronic allograft dysfunction, defined by protocol biopsies, are indicated.

Using the protein chip interface with quadrupole time-of-flight mass spectrometry to directly identify peaks in SELDI profiles--initial evaluation using low molecular weight serum peaks.

Mass spectrometric profiling, particularly in the form of SELDI, has been used in many studies, particularly in attempts to generate diagnostic serum profiles. Several studies have generated promising results but one of the limitations is the inability to identify easily potential discriminatory peaks. This may enable specific assays to be developed and increased biological insight. We describe the first systematic technical evaluation of the ProteinChip interface coupled to a tandem mass spectrometer which allows direct sequencing of peptides <6000 Da, and describe the direct sequence identification of 21 peaks commonly observed in serum samples. Additionally we describe for the first time the use of on-chip acetylation to assist in the validation of sequence identification.

Sample size determination in clinical proteomic profiling experiments using mass spectrometry for class comparison.

Mass spectrometric profiling approaches such as MALDI-TOF and SELDI-TOF are increasingly being used in disease marker discovery, particularly in the lower molecular weight proteome. However, little consideration has been given to the issue of sample size in experimental design. The aim of this study was to develop a protocol for the use of sample size calculations in proteomic profiling studies using MS. These sample size calculations can be based on a simple linear mixed model which allows the inclusion of estimates of biological and technical variation inherent in the experiment. The use of a pilot experiment to estimate these components of variance is investigated and is shown to work well when compared with larger studies. Examination of data from a number of studies using different sample types and different chromatographic surfaces shows the need for sample- and preparation-specific sample size calculations.

Changes in the urinary proteome post-operatively in renal cancer patients - a reflection of tumour or kidney removal?

During the initial phases of a study focussed on discovering new urinary biomarkers for renal cell carcinoma, a number of challenges and limitations were identified, which we subsequently investigated. The purpose of this report is to provide insight into experimental design for such investigations and potential confounding factors that can impact on such studies. Sixty urine samples from 20 patients with clear cell renal cell carcinoma and ten live renal transplant donor patients, pre- and post-nephrectomy, were profiled using SELDI-TOF-MS incorporating stringent quality control and in-house data processing/analysis. There were 65 significantly differentially expressed peaks (five solitary peaks and four peak clusters that increased post nephrectomy and four peak clusters that decreased). Peak 3934 Da m/z and peaks within 11731-11961 Da m/z, which increased post nephrectomy were identified as the 36 amino acid isoform of ß-defensin-1 and ß(2) -microglobulin, respectively. However, changes in these two protein forms were also seen in healthy donors following nephrectomy implying a relationship with kidney removal per se rather than tumour removal. This study indicates the difficulties in identifying SELDI peaks for subsequent validation and illustrates the need for appropriate controls in biomarker studies to determine whether changes are indirect consequences of treatment.

Integrated multi-level quality control for proteomic profiling studies using mass spectrometry.

BACKGROUND: Proteomic profiling using mass spectrometry (MS) is one of the most promising methods for the analysis of complex biological samples such as urine, serum and tissue for biomarker discovery. Such experiments are often conducted using MALDI-TOF (matrix-assisted laser desorption/ionisation time-of-flight) and SELDI-TOF (surface-enhanced laser desorption/ionisation time-of-flight) MS. Using such profiling methods it is possible to identify changes in protein expression that differentiate disease states and individual proteins or patterns that may be useful as potential biomarkers. However, the incorporation of quality control (QC) processes that allow the identification of low quality spectra reliably and hence allow the removal of such data before further analysis is often overlooked. In this paper we describe rigorous methods for the assessment of quality of spectral data. These procedures are presented in a user-friendly, web-based program. The data obtained post-QC is then examined using variance components analysis to quantify the amount of variance due to some of the factors in the experimental design. RESULTS: Using data from a SELDI profiling study of serum from patients with different levels of renal function, we show how the algorithms described in this paper may be used to detect systematic variability within and between sample replicates, pooled samples and SELDI chips and spots. Manual inspection of those spectral data that were identified as being of poor quality confirmed the efficacy of the algorithms. Variance components analysis demonstrated the relatively small amount of technical variance attributable to day of profile generation and experimental array. CONCLUSION: Using the techniques described in this paper it is possible to reliably detect poor quality data within proteomic profiling experiments undertaken by MS. The removal of these spectra at the initial stages of the analysis substantially improves the confidence of putative biomarker identification and allows inter-experimental comparisons to be carried out with greater confidence.

Serum biomarker discovery in renal cancer using 2-DE and prefractionation by immunodepletion and isoelectric focusing; increasing coverage or more of the same?

As an initial screen for novel markers of renal cancer and to minimise background heterogeneity, we have compared the within-patient profiles of serum samples from seven patients pre- and post-nephrectomy. Samples were depleted of six of the most abundant proteins using Agilent's multiple affinity removal system (MARS) followed by solution-phase IEF prior to separation by 2-DE using narrow range IPG Strips, with a total of 84 gels. The reproducibility of the various steps was demonstrated and an approximate two-fold increase (from 374 to 779) in the number of protein spots observed in the pH region 4.6-7.0 was obtained. However, the majority of additional proteins seen were further isoforms of existing proteins due to the higher resolution and the majority of protein spots identified were still moderate to highly abundant species. Only one protein spot (as yet unidentified) was found to change significantly in the same direction in at least four patients. Although this powerful prefractionation and analysis strategy allows the visualisation of multiple protein isoforms, it is insufficient to allow detection of lower abundance proteins in serum without the implementation of further strategies.

Proteomic profiling using mass spectrometry--does normalising by total ion current potentially mask some biological differences?

Normalisation of data to minimise the impact of technical variation on comparative sample analysis is often carried out. Using SELDI data as a model, we have examined the effects of normalisation by TIC which is commonly used for MS data. Significant intergroup differences in normalisation factor were found for serum profiles which could not be explained by experimental factors, implying that normalisation by TIC may in some situations also normalise biological differences and should be systematically evaluated.

Urinary biomarker profiling in transitional cell carcinoma.

Urinary biomarkers or profiles that allow noninvasive detection of recurrent transitional cell carcinoma (TCC) of the bladder are urgently needed. We obtained duplicate proteomic (SELDI) profiles from 227 subjects (118 TCC, 77 healthy controls and 32 controls with benign urological conditions) and used linear mixed effects models to identify peaks that are differentially expressed between TCC and controls and within TCC subgroups. A Random Forest classifier was trained on 130 profiles to develop an algorithm to predict the presence of TCC in a randomly selected initial test set (n = 54) and an independent validation set (n = 43) several months later. Twenty two peaks were differentially expressed between all TCC and controls (p < 10(-7)). However potential confounding effects of age, sex and analytical run were identified. In an age-matched sub-set, 23 peaks were differentially expressed between TCC and combined benign and healthy controls at the 0.005 significance level. Using the Random Forest classifier, TCC was predicted with 71.7% sensitivity and 62.5% specificity in the initial set and with 78.3% sensitivity and 65.0% specificity in the validation set after 6 months, compared with controls. Several peaks of importance were also identified in the linear mixed effects model. We conclude that SELDI profiling of urine samples can identify patients with TCC with comparable sensitivities and specificities to current tumor marker tests. This is the first time that reproducibility has been demonstrated on an independent test set analyzed several months later. Identification of the relevant peaks may facilitate multiplex marker assay development for detection of recurrent disease.

Proteomic identification of a role for the von Hippel Lindau tumour suppressor in changes in the expression of mitochondrial proteins and septin 2 in renal cell carcinoma.

The von Hippel Lindau (VHL) tumour suppressor gene, VHL, plays a central role in development of sporadic conventional renal cell carcinomas (RCCs). Studying VHL function may, therefore, increase understanding of the pathogenesis of RCC and identify markers/therapeutic targets. Comparison of 2-DE protein profiles of VHL-defective RCC cells (UMRC2) transfected with control vector or wild-type VHL showed differences in 30 proteins, including several novel changes. One of the findings confirmed by Western blotting was up-regulation of the mitochondrial protein ubiquinol cytochrome c reductase complex core protein 2 following VHL transfection, a change that was also observed in two other cell line backgrounds. A marked decrease in expression of this and several other mitochondrial proteins was demonstrated in RCC tissues and using VHL-transfectants, several were shown to exhibit VHL-dependent regulation. Thus, VHL may contribute to the decreased mitochondrial function seen in RCC. A form of septin 2 down-regulated following VHL transfection was also identified. Septin 2 was up-regulated in 12/16 RCCs, while alteration of the form present was also observed in 1/3 tumours analysed. Thus, increased expression of septin 2 is a common event in RCC and protein modification may also alter septin 2 function in a subset of tumours.

Proteomic analysis of primary cell lines identifies protein changes present in renal cell carcinoma.

New markers/targets for renal cell carcinoma (RCC) are needed to enable earlier detection and monitoring of disease and therapeutic targeting. To identify such molecules, normal and RCC-derived primary cell lines have been used as a simplified model system for studying changes that accompany tumorigenesis. Short-term cultures allow enrichment of relevant cell types from tissue samples, which is balanced against the potential for in vitro changes. Examination of 3 proteins with altered expression in RCC tissue showed the maintenance of normal-tumour differences in culture, although some changes were apparent, including alteration in the isoform of aldolase. Comparative analysis of primary cell lines by 2-DE found 43 proteins up-regulated and 29 down-regulated in at least three out of five tumour cell lines. Many of the observed changes have been previously reported in RCC, including up-regulation of several glycolytic enzymes, vimentin and heat shock protein 27, validating the approach. Additionally, several novel changes in protein expression were found, including up-regulation of several proteins involved in actin cytoskeleton organisation such as radixin and moesin, two members of the septin family, and the actin bundling protein, fascin. Validation studies using Western blotting and immunohistochemistry indicate that several of these molecules may be useful as markers for RCC.

Genetic and epigenetic analysis of von Hippel-Lindau (VHL) gene alterations and relationship with clinical variables in sporadic renal cancer.

Genetic and epigenetic changes in the von Hippel-Lindau (VHL) tumor suppressor gene are common in sporadic conventional renal cell carcinoma (cRCC). Further insight into the clinical significance of these changes may lead to increased biological understanding and identification of subgroups of patients differing prognostically or who may benefit from specific targeted treatments. We have comprehensively examined the VHL status in tissue samples from 115 patients undergoing nephrectomy, including 96 with sporadic cRCC. In patients with cRCC, loss of heterozygosity was found in 78.4%, mutation in 71%, and promoter methylation in 20.4% of samples. Multiplex ligation-dependent probe amplification identified intragenic copy number changes in several samples including two which were otherwise thought to be VHL-noninvolved. Overall, evidence of biallelic inactivation was found in 74.2% of patients with cRCC. Many of the mutations were novel and approximately two-thirds were potentially truncating. Examination of these and other published findings confirmed mutation hotspots affecting codons 117 and 164, and revealed a common region of mutation in codons 60 to 78. Gender-specific differences in methylation and mutation were seen, although not quite achieving statistical significance (P = 0.068 and 0.11), and a possible association between methylation and polymorphism was identified. No significant differences were seen between VHL subgroups with regard to clinicopathologic features including stage, grade, tumor size, cancer-free and overall survival, with the exception of a significant association between loss of heterozygosity and grade, although a possible trend for survival differences based on mutation location was apparent.

Influences of blood sample processing on low-molecular-weight proteome identified by surface-enhanced laser desorption/ionization mass spectrometry.

BACKGROUND: Profiling approaches in proteomics, such as surface-enhanced laser desorption/ionization (SELDI) mass spectrometry, are used in disease marker discovery. The aim of this study was to investigate the potential influence of selected preanalytical factors on the results obtained. METHODS: Plasma samples anticoagulated with EDTA, citrate, or heparin, and serum samples from healthy volunteers were profiled by SELDI on CM10, immobilized metal affinity capture (IMAC) array with copper, and H50 chip surfaces. Using linear mixed-effects models, we examined the influence of elapsed time between venipuncture and sample separation (immediate to 24 h) and the type of serum tube used (Greiner Vacuette activator, gel serum separator, or plain tubes). We analyzed purified platelets, as well as platelet-poor and platelet-rich plasma samples treated with calcium and/or thrombin to determine the platelet contribution, directly or via the clotting process, to the profiles generated. We then used cluster analysis to identify samples with similar peak profiles. RESULTS: Different plasma types and sera could be distinguished on the basis of cluster analyses of their spectral profiles. Elapsed time between venipuncture and separation of plasma and serum from blood samples altered the profiles obtained, particularly for serum samples and particularly on IMAC chips. The type of serum collection tube also affected the profiles because of differences in clotting time. In vitro manipulation of platelets revealed that specific peaks in IMAC profiles of serum appeared to be derived directly from platelets. Several other peaks, including some of those exhibiting time-dependent changes, arose during the clotting process. CONCLUSION: Preanalytical variables, such as sample handling, can markedly influence results.

Intrinsic chemotherapy resistance to the tubulin-binding antimitotic agents in renal cell carcinoma.

Renal cancer is one of the most chemoresistant tumor types. Using a panel of 10 established renal cancer cell lines that have not been subjected to prior drug selection, the range of functional resistance phenotypes to the tubulin-binding agents paclitaxel, vinblastine, vincristine and patupilone (epothilone B, EPO906) was determined, together with expression of P-glycoprotein (PgP), multidrug resistance associated protein-2 (MRP2) and major vault protein (MVP) proteins. The IC(50) values for vincristine correlated positively with PgP expression (r = 0.73; p = 0.031), with values for paclitaxel and vinblastine just failing to reach significance. A significant positive correlation was observed for sensitivity to paclitaxel and MRP2 expression only (r = 0.8; p = 0.013). MVP expression did not correlate with sensitivity to any of the drugs examined. All cell lines exhibited much greater sensitivity to patupilone, demonstrating for the first time the potential use of patupilone in this cancer. In tissue samples from chemotherapy-naive renal cell carcinoma (RCC) patients, marked downregulation or absence of PgP in many tumor cells with expression levels more similar to sensitive cell lines rather than the resistant lines was seen. Similarly, MRP2 was absent or only weakly present in tumor cells, whereas MVP was very strongly upregulated in most tumor samples. This study illustrating discrepancies between results exclusively based on studies in cell lines and findings in vivo suggests that the role of PgP and MRP2 in intrinsic resistance in RCC in vivo may be less than expected from the in vitro findings and supports a potential role for MVP on the basis of in vivo expression studies.

Identification of proteins regulated by interferon-alpha in resistant and sensitive malignant melanoma cell lines.

Treatment of patients with malignant melanoma with interferon-alpha achieves a response in a small but significant subset of patients. Currently, although much is known about interferon biology, little is known about either the particular mechanisms of interferon-alpha activity that are crucial for response or why only some patients respond to interferon-alpha therapy. Two melanoma cell lines (MeWo and MM418) that are known to differ in their response to the antiproliferative activity of interferon-alpha, have been used as a model system to investigate interferon-alpha action. Using a proteomics approach based on two-dimensional polyacrylamide gel electrophoresis and mass spectrometry, several proteins induced in response to interferon-alpha have been identified. These include a number of gene products previously known to be type I interferon responsive (tryptophanyl tRNA synthetase, leucine aminopeptidase, ubiquitin cross-reactive protein, gelsolin, FUSE binding protein 2 and hPNPase) as well as a number of proteins not previously reported to be induced by type I interferon (cathepsin B, proteasomal activator 28alpha and alpha-SNAP). Although the proteins upregulated by interferon-alpha were common between the cell lines when examined at the level of Western blotting, the disparity in the basal level of cathepsin B was striking, raising the possibility that the higher level in MM418 may contribute to the sensitivity of this cell line to interferon-alpha treatment.