Initial development and validation of a novel extraction method for quantitative mining of the formalin-fixed, paraffin-embedded tissue proteome for biomarker investigations

Annotated formalin-fixed, paraffin-embedded (FFPE) tissue archives constitute a valuable resource for retrospective biomarker discovery. However, proteomic exploration of archival tissue is impeded by extensive formalin-induced covalent cross-linking. Robust methodology enabling proteomic profiling of archival resources is urgently needed. Recent work is beginning to support the feasibility of biomarker discovery in archival tissues, but further developments in extraction methods which are compatible with quantitative approaches are urgently needed. We report a cost-effective extraction methodology permitting quantitative proteomic analyses of small amounts of FFPE tissue for biomarker investigation. This surfactant/heat-based approach results in effective and reproducible protein extraction in FFPE tissue blocks. In combination with a liquid chromatography-mass spectrometry-based label-free quantitative proteomics methodology, the protocol enables the robust representative and quantitative analyses of the archival proteome. Preliminary validation studies in renal cancer tissues have identified typically 250-300 proteins per 500 ng of tissue with 1D LC-MS/MS with comparable extraction in FFPE and fresh frozen tissue blocks and preservation of tumor/normal differential expression patterns (205 proteins, r = 0.682; p < 10(-15)). The initial methodology presented here provides a quantitative approach for assessing the potential suitability of the vast FFPE tissue archives as an alternate resource for biomarker discovery and will allow exploration of methods to increase depth of coverage and investigate the impact of preanalytical factors.     

A prostate cancer tissue specific spectral library for targeted proteomic analysis

Prostate cancer is the most common cancer in males worldwide. Mass spectrometry-based targeted proteomics has demonstrated great potential in quantifying proteins from formalin-fixed paraffin-embedded (FFPE) and (fresh) frozen biopsy tissues. Here we provide a comprehensive tissue-specific spectral library for targeted proteomic analysis of prostate tissue samples. Benign and malignant FFPE prostate tissue samples were processed into peptide samples by pressure cycling technology (PCT)-assisted sample preparation, and fractionated with high-pH reversed phase liquid chromatography (RPLC). Based on data-dependent acquisition (DDA) MS analysis using a TripleTOF 6600, we built a library containing 108,533 precursors, 84,198 peptides and 9384 unique proteins (1% FDR). The applicability of the library was demonstrated in prostate specimens.     

Protein unlocking procedures of formalin-fixed paraffin-embedded tissues: application to MALDI-TOF imaging MS investigations

Archival formalin-fixed paraffin-embedded (FFPE) tissues are a powerful tool for examining the clinical course of diseases. These specimens represent an incredible mine of valuable clinical and biological information for proteomic investigation. MALDI-TOF imaging MS (MALDI-IMS) is a protein profiling technique which enables the direct sampling of histological section; however, the quality of molecular data are strongly influenced by the tissue preparation condition. In fact, in previous years most of the studies employing such a technological platform have been conducted using cryo-preserved tissues. We have developed an in vitro approach using "tissue surrogate" samples in order to explore different protein unlocking procedures which might enable a suitable recovery of polypeptides for MS analysis. The developed protocols have been compared both by MALDI-TOF MS and nLC-MS(E) analysis either on surrogate samples or on FFPE specimen from human breast cancer. The collected evidence has been applied for the preparation of FFPE tissue sections following MALDI-IMS analysis. Our results outline the possibility to obtain valuable peptide mass spectra profiles form FFPE preparations by applying a combined two steps procedure of heat induced antigen retrieval (HIAR) in presence of EDTA and on target trypsin hydrolysis. A multivariate statistical evaluation is presented and discussed according to molecular spatial distributions and tissue morphology.     

激光显微切割/质谱联用技术在肾脏疾病诊断中的应用进展

激光显微切割(Laser microdissection,LMD)质谱(Mass spectrometry,MS)联用技术(LMD/MS)已成功应用于肾活检组织甲醛固定石蜡包埋切片的蛋白质组学研究,提高了某些肾脏病的诊断水平,显示出较好的临床应用前景。文中就LMD/MS蛋白质组学技术的原理、方法及该技术在肾淀粉样变性、膜增殖性肾小球肾炎等肾脏疾病的发病机制及诊断分型的应用进展进行综述。     

Equivalence of Protein Inventories Obtained from Formalin-fixed Paraffin-embedded and Frozen Tissue in Multidimensional Liquid Chromatography-Tandem Mass Spectrometry Shotgun Proteomic Analysis

Formalin-fixed paraffin-embedded (FFPE) tissue specimens comprise a potentially valuable resource for retrospective biomarker discovery studies, and recent work indicates the feasibility of using shotgun proteomics to characterize FFPE tissue proteins. A critical question in the field is whether proteomes characterized in FFPE specimens are equivalent to proteomes in corresponding fresh or frozen tissue specimens. Here we compared shotgun proteomic analyses of frozen and FFPE specimens prepared from the same colon adenoma tissues. Following deparaffinization, rehydration, and tryptic digestion under mild conditions, FFPE specimens corresponding to 200 μg of protein yielded ∼400 confident protein identifications in a one-dimensional reverse phase liquid chromatography-tandem mass spectrometry (LC-MS/MS) analysis. The major difference between frozen and FFPE proteomes was a decrease in the proportions of lysine C-terminal to arginine C-terminal peptides observed, but these differences had little effect on the proteins identified. No covalent peptide modifications attributable to formaldehyde chemistry were detected by analyses of the MS/MS datasets, which suggests that undetected, cross-linked peptides comprise the major class of modifications in FFPE tissues. Fixation of tissue for up to 2 days in neutral buffered formalin did not adversely impact protein identifications. Analysis of archival colon adenoma FFPE specimens indicated equivalent numbers of MS/MS spectral counts and protein group identifications from specimens stored for 1, 3, 5, and 10 years. Combination of peptide isoelectric focusing-based separation with reverse phase LC-MS/MS identified 2554 protein groups in 600 ng of protein from frozen tissue and 2302 protein groups from FFPE tissue with at least two distinct peptide identifications per protein. Analysis of the combined frozen and FFPE data showed a 92% overlap in the protein groups identified. Comparison of gene ontology categories of identified proteins revealed no bias in protein identification based on subcellular localization. Although the status of posttranslational modifications was not examined in this study, archival samples displayed a modest increase in methionine oxidation, from ∼17% after one year of storage to ∼25% after 10 years. These data demonstrate the equivalence of proteome inventories obtained from FFPE and frozen tissue specimens and provide support for retrospective proteomic analysis of FFPE tissues for biomarker discovery.Formalin-fixed paraffin-embedded (FFPE)¹ tissue samples are routinely prepared during the pathological characterization of clinical specimens and are abundantly available in pathology archives worldwide. The fixation process yields clinically relevant samples that can be stored at ambient temperature and are suitable for pathological examination by light microscopy even after years in storage. Given the wealth of clinical data associated with specimens collected over a span of decades, such as patient treatment regimens and outcomes, FFPE tissue represents a potentially valuable resource for biomarker discovery through retrospective analysis (1, 2).However, fixation of tissue in formalin leads to significant cross-linking among proteins and other biomolecules, rendering the samples incompatible with many biochemical analyses. Immunohistochemical (IHC) analysis of FFPE tissue has been conducted since the 1970s using either proteolysis or protein denaturants to expose antigenic regions of proteins (3, 4). Since the 1990s, detection of antigens in FFPE tissue has been improved through the development of so-called antigen retrieval techniques (5, 6). These methods involve application of heat in the presence of any of a variety of buffers resulting in the cleavage of methylene bridges formed during the course of fixation (2).Despite their utilization for IHC analysis, FFPE tissue samples have been largely overlooked in proteomics studies, due to the assumption that tissue fixation would make proteomic analysis intractable. Recent work appears to refute this notion. In 2005, Hood et al. (7) first described the successful application of shotgun proteome analysis to FFPE tissue. Using laser capture microdissected cells and an optimized extraction method, hundreds of proteins were identified from a cancerous prostate lesion and benign prostate hyperplasia, thus opening the door to comparative proteomic analyses of FFPE tissue. Moreover, the same study showed that the numbers and identities of proteins observed were remarkably similar when applying the method to frozen and FFPE mouse liver, thus lending support to the use of FFPE tissue in biomarker discovery studies. Since the initial demonstration of its feasibility, FFPE tissues from diverse origins including breast, liver, kidney, lymphoma, and bone successfully have been subjected to proteomic analyses (8–14).Although this work suggests the feasibility of biomarker discovery from FFPE tissue, most of these previous studies have been performed on small amounts of material with one-dimensional reverse phase liquid chromatography-tandem mass spectrometry (LC-MS/MS) methods. The use of multidimensional peptide separations can extend the dynamic range of the LC-MS/MS analyses to detect lower abundance proteins. Recently, the use of capillary isotachophoresis as the first dimension in a multidimensional peptide separation strategy for analyzing FFPE tissue was described (8). In this study, thousands of proteins were identified out of <4 μg of digest from FFPE human liver sections. However, the apparatus used was an in-house, custom-designed system, not readily accessible to other laboratories. In several of these studies, proteins identified by a single peptide were accepted as valid identifications. Use of single peptide-based identifications elevates the probability of false positive protein identifications, and these identifications often constitute the majority of protein identifications (15).The equivalence of fresh/frozen and FFPE tissue proteomes is a critical issue in evaluating the suitability of employing FFPE tissues for biomarker discovery by comparative proteomic analyses. Hood et al. (7) and Guo et al. (14) reported comparisons from analyses of paired fresh and frozen tissue specimens. Guo et al. (14) reported an apparent overlap of 83% in protein identifications between FFPE and frozen brain tissue specimens, whereas Hood et al. (7) did not report the degree of overlap, but found that FFPE mouse liver tissue yielded about 88% of the identifications determined for frozen mouse liver tissue. The majority of protein identifications in both studies were based on single peptide assignments. These investigations did not explicitly address the effect of formaldehyde-derived modifications on the inventories of identified peptides.An unexplored question with FFPE tissue specimens is the extent to which normal variability in fixation process and storage duration affect the proteomes observed. The duration of tissue fixation is not highly standardized and may vary from hours to several days. One of the most attractive features of FFPE specimens is the opportunity for retrospective biomarker discovery, but the effects of storage for many years on tissue proteomes remains unknown.Here, we address these questions through detailed comparative studies of the analysis of fresh frozen and FFPE tissues by LC-MS/MS-based shotgun proteomics. We used the same fresh tissue specimens to prepare both frozen and FFPE samples for paired comparisons. We evaluated conditions for tissue lysis and digestion and the effects of fixation time and storage duration on the number of protein IDs obtained during shotgun proteomic analysis of FFPE tissue. We also characterized the differences in peptides observed between fixed and frozen specimens in an effort to understand the effect of fixation from a practical biomarker discovery standpoint. Furthermore, we compared analyses of fresh frozen and FFPE colon adenoma tissue by multidimensional LC-MS/MS using gel-based isoelectric focusing of peptides (Fig. 1). The results demonstrate a remarkable overlap in the number and identities of proteins between the fixed and frozen tissue and indicate that variations in duration of fixation and storage have a minimal effect on protein inventories obtained by shotgun proteomic analysis. The data indicate essential equivalence between protein inventories obtained from fresh frozen and FFPE tissue specimens by shotgun proteomics and validate the use of FFPE tissue specimens for biomarker discovery.Open in a separate windowFig. 1.Strategy for multidimensional LC-MS/MS analysis of FFPE tissue.     

Nm23/Nucleoside Diphosphate Kinase-A as a Potent Prognostic marker in Invasive Pancreatic Ductal Carcinoma Identified by Proteomic Analysis of Laser Micro-dissected Formalin-Fixed Paraffin-Embedded Tissue

Background

Pancreatic cancer is among the most lethal malignancies worldwide. This study aimed to identify a novel prognostic biomarker, facilitating treatment selection, using mass spectrometry (MS)-based proteomic analysis with formalin-fixed paraffin-embedded (FFPE) tissue.

Results

The two groups with poor prognosis (n = 4) and with better prognosis (n = 4) had been carefully chosen among 96 resected cases of pancreatic cancer during 1998 to 2007 in Tohoku University Hospital. Although those 2 groups had adjusted background (UICC-Stage IIB, Grade2, R0, gemcitabine adjuvant), there was a significant difference in postoperative mean survival time (poor 21.0 months, better 58.1 months, P = 0.0067). Cancerous epithelial cells collected from FFPE tissue sections by laser micro-dissection (LMD) were processed for liquid chromatography-tandem mass spectrometry (LC-MS/MS). In total, 1099 unique proteins were identified and 6 proteins showed different expressions in the 2 groups by semi-quantitative comparison. Among these 6 proteins, we focused on Nm23/Nucleoside Diphosphate Kinase A (NDPK-A) and immunohistochemically confirmed its expression in the cohort of 96 cases. Kaplan-Meier analysis showed high Nm23/NDPK-A expression to correlate with significantly worse overall survival (P = 0.0103). Moreover, in the multivariate Cox regression model, Nm23/NDPK-A over-expression remained an independent predictor of poor survival with a hazard ratio of 1.97 (95% CI 1.16-3.56, P = 0.0110).

Conclusions

We identified 6 candidate prognostic markers for postoperative pancreatic cancer using FFPE tissues and immunohistochemically demonstrated high Nm23/NDPK-A expression to be a useful prognostic marker for pancreatic cancer.     

Unrestricted modification search reveals lysine methylation as major modification induced by tissue formalin fixation and paraffin embedding

Formalin‐fixed paraffin‐embedded (FFPE) tissue is considered as an appropriate alternative to frozen/fresh tissue for proteomic analysis. Here we study formalin‐induced alternations on a proteome‐wide level. We compared LC‐MS/MS data of FFPE and frozen human kidney tissues by two methods. First, clustering analysis revealed that the biological variation is higher than the variation introduced by the two sample processing techniques and clusters formed in accordance with the biological tissue origin and not with the sample preservation method. Second, we combined open modification search and spectral counting to find modifications that are more abundant in FFPE samples compared to frozen samples. This analysis revealed lysine methylation (+14 Da) as the most frequent modification induced by FFPE preservation. We also detected a slight increase in methylene (+12 Da) and methylol (+30 Da) adducts as well as a putative modification of +58 Da, but they contribute less to the overall modification count. Subsequent SEQUEST analysis and X!Tandem searches of different datasets confirmed these trends. However, the modifications due to FFPE sample processing are a minor disturbance affecting 2–6% of all peptide‐spectrum matches and the peptides lists identified in FFPE and frozen tissues are still highly similar.     

Relative Quantification of Proteins in Formalin-Fixed Paraffin-Embedded Breast Cancer Tissue Using Multiplexed Mass Spectrometry Assays

The identification of clinically relevant biomarkers represents an important challenge in oncology. This problem can be addressed with biomarker discovery and verification studies performed directly in tumor samples using formalin-fixed paraffin-embedded (FFPE) tissues. However, reliably measuring proteins in FFPE samples remains challenging. Here, we demonstrate the use of liquid chromatography coupled to multiple reaction monitoring mass spectrometry (LC-MRM/MS) as an effective technique for such applications. An LC-MRM/MS method was developed to simultaneously quantify hundreds of peptides extracted from FFPE samples and was applied to the targeted measurement of 200 proteins in 48 triple-negative, 19 HER2-overexpressing, and 20 luminal A breast tumors. Quantitative information was obtained for 185 proteins, including known markers of breast cancer such as HER2, hormone receptors, Ki-67, or inflammation-related proteins. LC-MRM/MS results for these proteins matched immunohistochemistry or chromogenic in situ hybridization data. In addition, comparison of our results with data from the literature showed that several proteins representing potential biomarkers were identified as differentially expressed in triple-negative breast cancer samples. These results indicate that LC-MRM/MS assays can reliably measure large sets of proteins using the analysis of surrogate peptides extracted from FFPE samples. This approach allows to simultaneously quantify the expression of target proteins from various pathways in tumor samples. LC-MRM/MS is thus a powerful tool for the relative quantification of proteins in FFPE tissues and for biomarker discovery.     

Development of selected reaction monitoring‐MS methodology to measure peptide biomarkers in prostate cancer

Prostate cancer is a leading cause of cancer‐related death. The current modality of diagnosis, the measurement of serum PSA, not only suffers from lack of specificity, but does not distinguish clinical cases in which current treatment measures would be most successful, i.e. aggressive, life‐threatening tumors. A multiplexed MS methodology, selected reaction monitoring‐MS/MS coupled with stable isotope dilution (SID), was developed and tested in both cells lines and clinical tissue samples. Standard curves were generated for two peptides representing PSA and one peptide from each of two additional orthogonally validated biomarkers, AMACR and EZH2. The standard curves show high reproducibility, sensitivity, and good linearity. All four peptides were then measured in six clinically relevant cell lines and are in agreement with the biochemical characteristics of each individual cell line. The SID selected reaction monitoring‐MS/MS methodology was then transferred to tissue samples, in which the assay shows potential to differentiate benign disease from localized cancer and localized cancer from aggressive metastatic disease. These results establish the preliminary development of a rational targeted MS platform that strives to bridge the gap between discovery and validation of biomarkers for the detection of prostate cancer.     

Comparison of Different Buffers for Protein Extraction from Formalin-Fixed and Paraffin-Embedded Tissue Specimens

We determined the best extraction buffer for proteomic investigation using formalin-fixation and paraffin-embedded (FFPE) specimens. A Zwittergent 3–16 based buffer, sodium dodecyl sulfate (SDS)-containing buffer with/without polyethylene glycol 20000 (PEG20000), urea-containing buffer, and FFPE-FASP protein preparation kit were compared for protein extraction from different types of rat FFPE tissues, including the heart, brain, liver, lung, and kidney. All of the samples were divided into two groups of laser microdissected (LMD) and non-LMD specimens. For both kinds of specimens, Zwittergent was the most efficient buffer for identifying peptides and proteins, was broadly applicable to different tissues without impairing the enzymatic digestion, and was well compatible with mass spectrometry analysis. As a high molecular weight carrier substance, PEG20000 improved the identification of peptides and proteins; however, such an advantage is limited to tissues containing submicrograms to micrograms of protein. Considering its low lytic strength, urea-containing buffer would not be the first alternative for protein recovery. In conclusion, Zwittergent 3–16 is an effective buffer for extracting proteins from FFPE specimens for downstream proteomics analysis.     

Effective DNA/RNA co-extraction for analysis of microRNAs, mRNAs, and genomic DNA from formalin-fixed paraffin-embedded specimens

Background

Retrospective studies of archived human specimens, with known clinical follow-up, are used to identify predictive and prognostic molecular markers of disease. Due to biochemical differences, however, formalin-fixed paraffin-embedded (FFPE) DNA and RNA have generally been extracted separately from either different tissue sections or from the same section by dividing the digested tissue. The former limits accurate correlation whilst the latter is impractical when utilizing rare or limited archived specimens.

Principal Findings

For effective recovery of genomic DNA and total RNA from a single FFPE specimen, without splitting the proteinase-K digested tissue solution, we optimized a co-extraction method by using TRIzol and purifying DNA from the lower aqueous and RNA from the upper organic phases. Using a series of seven different archived specimens, we evaluated the total amounts of genomic DNA and total RNA recovered by our TRIzol-based co-extraction method and compared our results with those from two commercial kits, the Qiagen AllPrep DNA/RNA FFPE kit, for co-extraction, and the Ambion RecoverAll™ Total Nucleic Acid Isolation kit, for separate extraction of FFPE-DNA and -RNA. Then, to accurately assess the quality of DNA and RNA co-extracted from a single FFPE specimen, we used qRT-PCR, gene expression profiling and methylation assays to analyze microRNAs, mRNAs, and genomic DNA recovered from matched fresh and FFPE MCF10A cells. These experiments show that the TRIzol-based co-extraction method provides larger amounts of FFPE-DNA and –RNA than the two other methods, and particularly provides higher quality microRNAs and genomic DNA for subsequent molecular analyses.

Significance

We determined that co-extraction of genomic DNA and total RNA from a single FFPE specimen is an effective recovery approach to obtain high-quality material for parallel molecular and high-throughput analyses. Our optimized approach provides the option of collecting DNA, which would otherwise be discarded or degraded, for additional or subsequent studies.     

Integrated SDS removal and peptide separation by strong-cation exchange liquid chromatography for SDS-assisted shotgun proteome analysis

We report an improved shotgun method for analyzing proteomic samples containing sodium dodecyl sulfate (SDS). This method is based on the use of strong-cation exchange (SCX) liquid chromatography (LC) for SDS removal that can be integrated with peptide separation as the first dimension of the two-dimensional LC tandem mass spectrometry workflow. To optimize the performance of SDS removal, various experimental conditions, including the concentrations of chemical reagents and salts in the sample, the SDS concentration, and the SCX mobile phase composition, were investigated. It was found that a peptide recovery rate of about 90% could be achieved while removing SDS efficiently. One key finding was that, by increasing the SDS concentration to a certain level (0.5%) in the digested peptide sample, the sample recovery rate could be increased. The peptide recovery rate of BSA digests was found to be 90.6 ± 1.0% (n = 3), and SDS in the SCX fractions collected was not detectable by pyrolysis GC-MS, i.e., below the detection limit of 0.00006% for the undesalted SCX fractions. The peptide recovery rates were found to be 90.9% ± 2.7 (n = 3) and 89.5% ± 0.5% (n = 3) for the digests of the membrane-protein-enriched fractions of E. coli cell lysates and the MCF-7 breast cancer cell line, respectively. Compared to the methods that use acid-labile surfactants, such as RapiGest and PPS, for the MCF-7 membrane fraction sample, the SDS method identified, on average (n = 3), more peptides (～5%) and proteins (～16%) than the RapiGest method, while the RapiGest method identified more peptides (～21%) and proteins (～7%) from the E. coli membrane fraction than the SDS method. In both cases, the two methods identified more peptides and proteins than the PPS method. Since SCX is widely used as the first dimension of 2D-LC MS/MS, integration of SDS removal with peptide separation in SCX does not add any extra steps to the sample handling process. We demonstrated the application of this method for 2D-LC MS/MS profiling of the MCF-7 membrane protein fraction and identified 6889 unique peptides, corresponding to 2258 unique proteins or protein groups from two replicate experiments with a false peptide discovery rate of ～0.8%, compared to 5172 unique peptides and 1847 unique proteins identified by the RapiGest method.     

Global profiling of phosphopeptides by titania affinity enrichment

Protein phosphorylation is a ubiquitous post-translational modification critical to many cellular processes. Large-scale unbiased characterization of phosphorylation status remains a major technical challenge in proteomics. In the present work, we evaluate and optimize titania-based affinity enrichment for global profiling of phosphopeptides from complex biological mixtures. We demonstrate that inclusion of glutamic acid in the sample loading buffer substantially reduced nonspecific binding of nonphosphorylated peptides to the titania while retaining the high binding affinity for phosphopeptides. The reduction in nonspecific peptide binding enhanced overall phosphopeptide recovery, ranging from 22 to 85%, and led to substantial improvement in large-scale global profiling. In addition, we observed that the overall identification of phosphopeptides was significantly enhanced by neutral loss-triggered MS (3) scans and respective use of multiple charge- and mass-dependent filtering criteria for MS (2) and MS (3) spectra. In conjunction with strong-cation exchange chromatography (SCX) for prefractionation, a total of 4002 distinct phosphopeptides were identified from SKBr3 breast cancer cells at false-positive rates of 3.7% and 5.5%, respectively, for singly and doubly phosphorylated peptides.     

Exploring proteomes and analyzing protein processing by mass spectrometric identification of sorted N-terminal peptides

Current non-gel techniques for analyzing proteomes rely heavily on mass spectrometric analysis of enzymatically digested protein mixtures. Prior to analysis, a highly complex peptide mixture is either separated on a multidimensional chromatographic system or it is first reduced in complexity by isolating sets of representative peptides. Recently, we developed a peptide isolation procedure based on diagonal electrophoresis and diagonal chromatography. We call it combined fractional diagonal chromatography (COFRADIC). In previous experiments, we used COFRADIC to identify more than 800 Escherichia coli proteins by tandem mass spectrometric (MS/MS) analysis of isolated methionine-containing peptides. Here, we describe a diagonal method to isolate N-terminal peptides. This reduces the complexity of the peptide sample, because each protein has one N terminus and is thus represented by only one peptide. In this new procedure, free amino groups in proteins are first blocked by acetylation and then digested with trypsin. After reverse-phase (RP) chromatographic fractionation of the generated peptide mixture, internal peptides are blocked using 2,4,6-trinitrobenzenesulfonic acid (TNBS); they display a strong hydrophobic shift and therefore segregate from the unaltered N-terminal peptides during a second identical separation step. N-terminal peptides can thereby be specifically collected for further liquid chromatography (LC)-MS/MS analysis. Omitting the acetylation step results in the isolation of non-lysine-containing N-terminal peptides from in vivo blocked proteins.     

An Optimized Method of Metabolite Extraction from Formalin-Fixed Paraffin-Embedded Tissue for GC/MS Analysis

Formalin-fixed paraffin-embedded (FFPE) tissue specimens constitute a highly valuable source of clinical material for retrospective molecular studies. However, metabolomic assessment of such archival material remains still in its infancy. Hence, there is an urgent need for efficient methods enabling extraction and profiling of metabolites present in FFPE tissue specimens. Here we demonstrate the methodology for isolation of primary metabolites from archival tissues; either fresh-frozen, formalin-fixed or formalin-fixed and paraffin-embedded specimens of mouse kidney were analysed and compared in this work. We used gas chromatography followed by mass spectrometry (GC/MS approach) to identify about 80 metabolites (including amino acids, saccharides, carboxylic acids, fatty acids) present in such archive material. Importantly, about 75% of identified compounds were detected in all three types of specimens. Moreover, we observed that fixation with formalin itself (and their duration) did not affect markedly the presence of particular metabolites in tissue-extracted material, yet fixation for 24h could be recommended as a practical standard. Paraffin embedding influenced efficiency of extraction, which resulted in reduced quantities of several compounds. Nevertheless, we proved applicability of FFPE specimens for non-targeted GS/MS-based profiling of tissue metabolome, which is of great importance for feasibility of metabolomics studies using retrospective clinical material.     

Proteome profile of human breast cancer tissue generated by LC-ESI-MS/MS combined with sequential protein precipitation and solubilization

Comprehensive proteome profiling of breast cancer tissue samples is challenging, as the tissue samples contain many proteins with varying concentrations and modifications. We report an effective sample preparation strategy combined with liquid chromatography (LC) electrospray ionization (ESI) quadrupole time-of-flight (QTOF) MS/MS for proteome analysis of human breast cancer tissue. The complexity of the breast cancer tissue proteome was reduced by using protein precipitation from a tissue extract, followed by sequential protein solubilization in solvents of different solubilizing strength. The individual fractions of protein mixtures or subproteomes were subjected to trypsin digestion and the resultant peptides were separated by strong cation exchange (SCX) chromatography, followed by reversed-phase capillary LC combined with high resolution and high accuracy ESI-QTOF MS/MS. This approach identified 14407 unique peptides from 3749 different proteins based on peptide matches with scores above the threshold scores at the 95% confidence level in MASCOT database search of the acquired MS/MS spectra. The false positive rate of peptide matches was determined to be 0.95% by using the target-decoy sequence search strategy. On the basis of gene ontology categorization, the identified proteins represented a wide variety of biological functions, cellular processes, and cellular locations.     

Validation of a robust proteomic analysis carried out on formalin‐fixed paraffin‐embedded tissues of the pancreas obtained from mouse and human

A number of reports have recently emerged with focus on extraction of proteins from formalin‐fixed paraffin‐embedded (FFPE) tissues for MS analysis; however, reproducibility and robustness as compared to flash frozen controls is generally overlooked. The goal of this study was to identify and validate a practical and highly robust approach for the proteomics analysis of FFPE tissues. FFPE and matched frozen pancreatic tissues obtained from mice (n = 8) were analyzed using 1D‐nanoLC‐MS(MS)² following work up with commercially available kits. The chosen approach for FFPE tissues was found to be highly comparable to that of frozen. In addition, the total number of unique peptides identified between the two groups was highly similar, with 958 identified for FFPE and 1070 identified for frozen, with protein identifications that corresponded by approximately 80%. This approach was then applied to archived human FFPE pancreatic cancer specimens (n = 11) as compared to uninvolved tissues (n = 8), where 47 potential pancreatic ductal adenocarcinoma markers were identified as significantly increased, of which 28 were previously reported. Further, these proteins share strongly overlapping pathway associations to pancreatic cancer that include estrogen receptor α. Together, these data support the validation of an approach for the proteomic analysis of FFPE tissues that is straightforward and highly robust, which can also be effectively applied toward translational studies of disease.     

P23-M Limit of Quantitation for Low-Abundance Proteins in Plasma by Targeted MS

Biomarker discovery results in the creation of candidate lists of potential markers that must be subsequently verified in plasma.¹ The most mature methods at present require abundant protein depletion and fractionation at the protein/peptide levels in order to detect and quantitate low ng/mL concentrations of plasma proteins by stable isotope dilution mass spectrometry. Sample-processing methods with sufficient throughput, recovery, and reproducibility to enable robust detection and quantitation of candidate bio-marker proteins were evaluated by adding five non-native proteins to immunoaffinity-depleted female plasma at varying concentrations (1000, 100, 50, 25, and 10 ng/mL). Each protein was monitored by one or more representative synthetic tryptic peptides labeled with [¹³C₆]leucine or [¹³C₅] valine. Following reduction, carbamidomethylation, and enzymatic digestion, two separate processing paths were compared. In path 1, digested plasma was diluted 1:10 and [¹³C] internal standards were added just prior to direct analysis by multiple reaction monitoring with LC-MS/MS (MRM LC-MS/MS). In path 2, peptides were separated by strong cation exchange, and [¹³C] internal standards were added to corresponding SCX fractions prior to analysis by MRM LC-MS/MS. Detection and quantitation by MRM used the response of at least two product ions from each of the signature peptides. Using processing path 1, we achieved detection and quantitation down to 50 ng/mL in depleted plasma. However, using processing path 2, we achieved detection and quantitation of all spiked proteins, including the non-native protein at 10 ng/mL. While analysis of non-fractionated plasma achieved higher recovery of those proteins detected in both processes, SCX fractionation at the peptide level clearly increases detection and LOQs for potential biomarker proteins in plasma.     

Efficient method for the proteomic analysis of fixed and embedded tissues

Formalin-fixed and paraffin-embedded (FFPE) tissues present a particular challenge for proteomic analysis. Yet, most of the archived tissues in hospitals and tissue banks worldwide are only available in this form. We have developed conditions for removal of the embedding medium and protein digestion, such that informative tryptic peptides are released from fixed proteins which are suitable for analysis by liquid chromatography-mass spectrometry (LC-MS). We demonstrate that the peptide identifications made by this approach compare favorably to those made from matched fresh frozen tissue. Moreover, we demonstrate that a high level of sequence coverage can be observed for proteins of interest.