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Background: Early detection of breast cancer (BC) is critical for increasing survival rates. However, current imaging approaches can provide ambiguous results, requiring invasive tissue biopsy for a definitive diagnosis. Multi-dimensional mass spectrometric analysis has highlighted the invaluable potential of nipple aspirate fluid (NAF) as a non-invasive source of early detection biomarkers, by identifying a multitude of proteins representative of the changing breast microenvironment. However, technical challenges with biomarker validation in large cohorts remain due to low sample throughput, impeding progress towards clinical utility. Rather, by employing a high-throughput method, that is more practicable for clinical utility, perturbations of the most abundant NAF proteins in BC patients compared with non-cancer (NC) controls could be monitored and validated in larger groups. Method: We characterized matched NAF pairs from BC (n = 9) and NC (n = 4) volunteers, using a rapid one dimensional liquid chromatography-mass spectrometry (1D LC-MS/MS) approach. Results: Overall, 198 proteins were relatively quantified, of which 40 were significantly differentiated in BC samples, compared with NC (p ≤ 0.05), with 26 upregulated and 14 downregulated. An imbalance in immune response and proteins regulating cell growth, maintenance and communication were identified. Conclusions: Our findings show 1D LC-MS/MS can quantify changes reflected in the NAF proteome associated with breast cancer development.

© 2020 The Author(s)., [Introduction]: The importance of biomarkers for pharmaceutical drug development and clinical diagnostics is more significant than ever in the current shift toward personalized medicine. Biomarkers have taken a central position either as companion markers to support drug development and patient selection, or as indicators aiming to detect the earliest perturbations indicative of disease, minimizing therapeutic intervention or even enabling disease reversal. Protein biomarkers are of particular interest given their central role in biochemical pathways. Hence, capabilities to analyze multiple protein biomarkers in one assay are highly interesting for biomedical research. [Areas covered]: We here review multiple methods that are suitable for robust, high throughput, standardized, and affordable analysis of protein biomarkers in a multiplex format. We describe innovative developments in immunoassays, the vanguard of methods in clinical laboratories, and mass spectrometry, increasingly implemented for protein biomarker analysis. Moreover, emerging techniques are discussed with potentially improved protein capture, separation, and detection that will further boost multiplex analyses. [Expert commentary]: The development of clinically applied multiplex protein biomarker assays is essential as multi-protein signatures provide more comprehensive information about biological systems than single biomarkers, leading to improved insights in mechanisms of disease, diagnostics, and the effect of personalized medicine., This paper was funded by the European cooperation in science and technology - COST action No. CA16113 - CliniMARK: ‘good biomarker practice’ to increase the number of clinically validated biomarkers.

Background The aim of this pilot study was to identify proteins associated with advancement of colon cancer (CC). Methods A quantitative proteomics approach was used to determine the global changes in the proteome of primary colon cancer from patients with non-cancer normal colon (NC), non-adenomatous colon polyp (NAP), non-metastatic tumor (CC NM) and metastatic tumor (CC M) tissues, to identify up- and down-regulated proteins. Total protein was extracted from each biopsy, trypsin-digested, iTRAQ-labeled and the resulting peptides separated using strong cation exchange (SCX) and reverse-phase (RP) chromatography on-line to electrospray ionization mass spectrometry (ESI-MS). Results Database searching of the MS/MS data resulted in the identification of 2777 proteins which were clustered into groups associated with disease progression. Proteins which were changed in all disease stages including benign, and hence indicative of the earliest molecular perturbations, were strongly associated with spliceosomal activity, cell cycle division, and stromal and cytoskeleton disruption reflecting increased proliferation and expansion into the surrounding healthy tissue. Those proteins changed in cancer stages but not in benign, were linked to inflammation/immune response, loss of cell adhesion, mitochondrial function and autophagy, demonstrating early evidence of cells within the nutrient-poor solid mass either undergoing cell death or adjusting for survival. Caveolin-1, which decreased and Matrix metalloproteinase-9, which increased through the three disease stages compared to normal tissue, was selected to validate the proteomics results, but significant patient-to-patient variation obfuscated interpretation so corroborated the contradictory observations made by others. Conclusion Nevertheless, the study has provided significant insights into CC stage progression for further investigation.

Glioblastoma multiforme is the most aggressive malignant tumor of the central nervous system. Due to the absence of effective pharmacological and surgical treatments, the identification of early diagnostic and prognostic biomarkers is of key importance to improve the survival rate of patients and to develop new personalized treatments. On these bases, the aim of this review article is to summarize the current knowledge regarding the application of molecular biology and proteomics techniques for the identification of novel biomarkers through the analysis of different biological samples obtained from glioblastoma patients, including DNA, microRNAs, proteins, small molecules, circulating tumor cells, extracellular vesicles, etc. Both benefits and pitfalls of molecular biology and proteomics analyses are discussed, including the different mass spectrometry-based analytical techniques, highlighting how these investigation strategies are powerful tools to study the biology of glioblastoma, as well as to develop advanced methods for the management of this pathology.

The identification and quantification of functional cytochromes P450 (CYPs) in biological samples is proving important for robust analyses of drug efficacy and metabolic disposition. In this study, a novel CYP activity-based probe was rationally designed and synthesised, demonstrating selective binding of CYP isoforms. The dependence of probe binding upon the presence of NADPH permits the selective detection of functionally active CYP. This allows the detection and analysis of these enzymes using biochemical and proteomic methodologies and approaches.

There has been tremendous progress in detection of breast cancer in postmenopausal women, resulting in two-thirds of women surviving more than 20 years after treatment. However, breast cancer remains the leading cause of cancer-related deaths in premenopausal women. Breast cancer is increasing in younger women due to changes in life-style as well as those at high risk as carriers of mutations in high-penetrance genes. Premenopausal women with breast cancer are more likely to be diagnosed with aggressive tumours and therefore have a lower survival rate. Mammography plays an important role in detecting breast cancer in postmenopausal women, but is considerably less sensitive in younger women. Imaging techniques, such as contrast-enhanced MRI improve sensitivity, but as with all imaging approaches, cannot differentiate between benign and malignant growths. Hence, current well-established detection methods are falling short of providing adequate safety, convenience, sensitivity and specificity for premenopausal women on a global level, necessitating the exploration of new methods. In order to detect and prevent the disease in high risk women as early as possible, methods that require more frequent monitoring need to be developed. The emergence of “omics” strategies over the last 20 years, enabling the characterisation and understanding of breast cancer at the molecular level, are providing the potential for long term, longitudinal monitoring of the disease. Tissue and serum biomarkers for breast cancer stratification, diagnosis and predictive outcome have emerged, but have not successfully translated into clinical screening for early detection of the disease. The use of breast-specific liquid biopsies, such as nipple aspirate fluid (NAF), a natural secretion produced by breast epithelial cells, can be collected non-invasively for biomarker profiling. As we move towards an age of active surveillance, home-based liquid biopsy collection kits are increasingly being applied and these could provide a paradigm shift where NAF biomarker profiling is used for routine breast health monitoring. The current status of established and newly emerging imaging techniques for early detection of breast cancer and the potential for alternative biomarker screening of liquid biopsies, particularly those applied to high-risk, premenopausal women, will be reviewed.

Purpose Nipple secretions are protein-rich and a potential source of breast cancer biomarkers for breast cancer screening. Previous studies of specific proteins have shown limited correlation with clinicopatholigical features. Our aim, in this pilot study, was to investigate the intra- and inter-patient protein composition of nipple secretions and the implications for their use as liquid biopsies. Experimental design Matched pairs of NAF (n = 15) were characterised for physicochemical properties and SDS PAGE. Four pairs were selected for semi-quantitative proteomic profiling and trypsin-digested peptides analysed using 2D LC Orbitrap Fusion mass spectrometry. The resulting data was subject to bioinformatics analysis and statistical evaluation for functional significance. Results A total of 1990 unique proteins were identified many of which are established cancer associated markers. Matched pairs shared the greatest similarity (average Pearson correlation coefficient of 0.94), but significant variations between individuals was observed. Conclusions This was the most complete proteomic study of NAF to date providing a valuable source for biomarker discovery. The high level of milk proteins in healthy volunteer samples compared to the cancer patients was associated with galactorrhoea. Using matched pairs increased confidence in patient-specific protein levels but changes relating to cancer stage require investigation of a larger cohort. This article is protected by copyright. All rights reserved

Matched healthy and diseased tissues from breast cancer patients were analyzed by quantitative proteomics. By comparing proteomic profiles of fibroadenoma (benign tumors, three patients), DCIS (noninvasive cancer, three patients), and invasive ductal carcinoma (four patients), we identified protein alterations that correlated with breast cancer progression. Three 8-plex iTRAQ experiments generated an average of 826 protein identifications, of which 402 were common. After excluding those originating from blood, 59 proteins were significantly changed in tumor compared with normal tissues, with the majority associated with invasive carcinomas. Bioinformatics analysis identified relationships between proteins in this subset including roles in redox regulation, lipid transport, protein folding, and proteasomal degradation, with a substantial number increased in expression due to Myc oncogene activation. Three target proteins, cofilin-1 and p23 (increased in invasive carcinoma) and membrane copper amine oxidase 3 (decreased in invasive carcinoma), were subjected to further validation. All three were observed in phenotype-specific breast cancer cell lines, normal (nontransformed) breast cell lines, and primary breast epithelial cells by Western blotting, but only cofilin-1 and p23 were detected by multiple reaction monitoring mass spectrometry analysis. All three proteins were detected by both analytical approaches in matched tissue biopsies emulating the response observed with proteomics analysis. Tissue microarray analysis (361 patients) indicated cofilin-1 staining positively correlating with tumor grade and p23 staining with ER positive status; both therefore merit further investigation as potential biomarkers.

Traditionally, proteomics is the high-throughput characterization of the global complement of proteins in a biological system using cutting-edge technologies (robotics and mass spectrometry) and bioinformatics tools (Internet-based search engines and databases). As the field of proteomics has matured, a diverse range of strategies have evolved to answer specific problems. Chemical proteomics is one such direction that provides the means to enrich and detect less abundant proteins (the ‘hidden’ proteome) from complex mixtures of wide dynamic range (the ‘deep’ proteome). In pharmacology, chemical proteomics has been utilized to determine the specificity of drugs and their analogues, for anticipated known targets, only to discover other proteins that bind and could account for side effects observed in preclinical and clinical trials. As a consequence, chemical proteomics provides a valuable accessory in refinement of second- and third-generation drug design for treatment of many diseases. However, determining definitive affinity capture of proteins by a drug immobilized on soft gel chromatography matrices has highlighted some of the challenges that remain to be addressed. Examples of the different strategies that have emerged using well-established drugs against pharmaceutically important enzymes, such as protein kinases, metalloproteases, PDEs, cytochrome P450s, etc., indicate the potential opportunity to employ chemical proteomics as an early-stage screening approach in the identification of new targets.

Three dimensional multicell tumor spheroids (MCTS) provide an experimental model where the influence of microenvironmental conditions on protein expression can be determined. Sequential trypsin digestion of HT29 colon carcinoma MCTS enabled segregation into four populations comprising proliferating cells from the surface (SL), an intermediate region (IR), nonproliferating hypoxic cells from the perinecrotic region (PN), and a necrotic core (NC). Total protein was extracted from each population and subjected to iTRAQ-based quantitative proteomics analysis. From a total of 887 proteins identified, 209 were observed to be up-regulated and 114 were down-regulated in the PN and NC regions relative to the SL. Among the up-regulated proteins, components of glycolysis, TCA cycle, lipid metabolism, and steroid biosynthesis increased progressively toward the PN and NC regions. Western blotting, immunohistochemistry, and enzyme assays confirmed that significant changes in the expression of proteins involved in cellular metabolism occur in the nonproliferating fraction of cells within the viable rim. The presence of full length, functional proteins within the NC was unexpected, and further analysis demonstrated that this region contains cells that are undergoing autophagy. This study has identified possible targets that may be suitable for therapeutic intervention, and further studies to validate these are required.

Cancer significantly affects millions of people worldwide. It is possible to use proteomic techniques to aid in detection, monitoring of treatment and progression, as well as gaining an increased understanding of cancer. Matrix-assisted laser desorption/ionisation (MALDI) mass spectrometry can be utilised to detect the presence of proteins and peptides within various samples from the body, including blood, biological fluids and tumour tissue. This review aims to introduce MALDI mass spectrometry and discuss a range of applications in the field of cancer research, from quantitative to qualitative methods. Also described is MALDI imaging mass spectrometry which differs from typical sample preparation methods, as analytes are ionised directly from the tissue. Finally, presented is a brief summary of the status of biomarker discovery using blood/serum and biological fluids samples, and the implications in the clinic.

Cytochromes P450 (CYPs) are a superfamily of mixed function oxidases, which in the liver have great significance to the pharmaceutical industry because their expression will determine the fate of most clinical agents. CYPs are also targets for inhibitors of hormone-dependent diseases and conversion of prodrugs to active agents in normal and cancer tissues. We have applied simple modifications to established methods of isolating CYPs, using 8 M urea to solubilise microsomal proteins and specific molecular weight gel bands for in-gel digestion in combination with nanoHPLC MALDI MS to acquire peptide MS/MS spectra for database searching. As a consequence of the changes we significantly improved the yield of proteomic data, identifying 26 mouse CYPs (CYP1a2, 2a4, 2a5, 2a12, 2b9, 2c29, 2c37, 2c39, 2c40, 2c50, 2c54, 2c70, 2d9, 2d10, 2d26, 2e1, 2f2, 2j5, 3a11, 3a13, 3a25, 3a41, 4a14, 4f14, 8b1 and 27a1) with an average sequence coverage of 30.1%, including some previously undetected highly homologous isoforms. In addition, other important enzymes in drug metabolism are also identified. There is a divergence of opinion over the expression of CYP1a1 in liver and we could not detect the presence of this isoform. In order to provide definitive evidence of the ability to detect CYP1a1, we analysed CHO cells transfected with human CYP1A1 and identified unique peptides that differentiated this isoform from human CYP1A2.

The identification of proteins involved in tumour progression or which permit enhanced or novel therapeutic targeting is essential for cancer research. Direct MALDI analysis of tissue sections is rapidly demonstrating its potential for protein imaging and profiling in the investigation of a range of disease states including cancer. MALDI-mass spectrometry imaging (MALDI-MSI) has been used here for direct visualisation and in situ characterisation of proteins in breast tumour tissue section samples. Frozen MCF7 breast tumour xenograft and human formalin-fixed paraffin-embedded breast cancer tissue sections were used. An improved protocol for on-tissue trypsin digestion is described incorporating the use of a detergent, which increases the yield of tryptic peptides for both fresh frozen and formalin-fixed paraffin-embedded tumour tissue sections. A novel approach combining MALDI-MSI and ion mobility separation MALDI-tandem mass spectrometry imaging for improving the detection of low-abundance proteins that are difficult to detect by direct MALDI-MSI analysis is described. In situ protein identification was carried out directly from the tissue section by MALDI-MSI. Numerous protein signals were detected and some proteins including histone H3, H4 and Grp75 that were abundant in the tumour region were identified.

In a quantitative proteomics-based breast cancer study of complementary normal and tumor biopsies, 22 collagen isoforms were detected by LC−MALDI TOF/ TOF MS. By applying proline oxidation, representing hydroxyproline, in database search parameters a substantial increase in assigned MS/MS was achieved, boosting the average (three experiments) number of peptides from 306 to 8126 for collagen alpha-1(I). The plethora of peptide identities for alpha-1(I) was disproportionate with full length protein sequence coverage which only increased from 28.3 to 64.4%. The peptides, in fact, constituted an extensive two-dimensional array of isomers exhibiting heterogeneity in degree and location of hydroxyproline residues. A total of 3433 peptides, scores >36 (p < 0.01), constituting 94% of the triple helix region of collagen alpha-1(I) provided a census of proline hydroxylation levels defined as the rate of site occupancy for each peptide isomer (r) and the total site occupancy for each proline residue (t). MS/MS and MS/MS/MS analysis, by MALDI-QIT- TOF MS, was used to corroborate site-specific proline hydroxylation of the original data. In addition, iTRAQ data for each collagen isoform in each of 10 patients (grouped by disease) was determined and indicated an increase in fibrillar collagens in invasive carcinoma but little change in fibroadenoma or DCIS.

Proteomic analysis of breast cancer tissue has proven difficult due to its inherent histological complexity. This pilot study presents preliminary evidence for the ability to differentiate adenoma and invasive carcinoma by measuring changes in proteomic profile of matched normal and disease tissues. A dual lysis buffer method was used to maximize protein extraction from each biopsy, proteins digested with trypsin, and the resulting peptides iTRAQ labeled. After combining, the peptide mixtures they were separated using preparative IEF followed by RP nanoHPLC. Following MALDI MS/MS and database searching, identified proteins were combined into a nonredundant list of 481 proteins with associated normal/tumor iTRAQ ratios for each patient. Proteins were categorized by location as blood, extracellular, and cellular, and the iTRAQ ratios were normalized to enable comparison between patients. Of those proteins significantly changed (upper or lower quartile) between matched normal and disease tissues, those from two invasive carcinoma patients had >50% in common with each other but

Introduction. Detection of the very earliest stages of breast cancer remain challenging and the differentiation of those carcinomas that develop into aggressive invasive forms from those that remain benign has not been achieved. Consequently, removal of the tumor by total mastectomy, local excision (LE) plus adjuvant radiotherapy (RT), or LE alone remain the main treatments, even if they prove unnecessary. Previously, using proteomics analysis, we identified proteins that were significantly changed in expression between matched normal and tumor tissues from Cypriot patients with different stages of the disease. Heat shock protein 10 (HSP10), which is responsible for the mitochondrial protein folding, was one of the proteins identified. A range of methods were used to verify HSP10 as a possible biomarker for breast cancer. Materials and Methods. Protein extracts from breast cancer cell lines and breast tissue biopsies from Cypriot patients with different stages of the disease were analysed by (i) Western Blotting (WB) and (ii) multiple reaction monitoring mass spectrometry (MRM MS) using two proteotypic peptides unique to HSP10, in proteins extracted form fresh frozen as well as from FFPE breast tissues. Tissue microarray analysis (TMA) was carried out on core biopsies from the Leeds Breast Tissue Bank. Results. WB indicated that HSP10 was ubiquitously and evenly expressed across breast cancer cell lines representative of different phenotypes. WB and MRM MS revealed that expression was significantly increased in invasive carcinoma compared to normal tissue, but was patient specific for fibroadenoma and DCIS cases. TMA of 360 samples indicated a strong correlation between staining and type of breast cancer (invasive ductal and lobular), grade and ER positive phenotype. Discussion. Proteomics analysis using iTRAQ quantitation indicated an average of 1.6 fold increase in HSP10 in invasive carcinomas compared to matched normal tissue. By comparison, WB and MRM MS analysis indicated a significantly amplified discrimination in the expression of HSP10 as has been observed with other biomarker candidates. HSP10 protein levels were in agreement with mRNA results observed in breast cancer cell lines reported in the Cancer Cell Line Encyclopaedia. In conclusion, HSP10 represents an excellent biomarker candidate for further validation. Citation Format: Sadr-ul Shaheed, Andreas Hadjisavvas, Kleitos Sokratous, Paul Loadman, Chris Sutton, Kyriacos Kyriacou. Analysis of HSP10 as a putative biomarker of breast cancer. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 1576. doi:10.1158/1538-7445.AM2015-1576

Introduction. Despite oestrogen and human epidermal growth factor receptor (HER2) targeted therapies improving patient survival, breast cancer continues to be a significant cause of premature death since many tumors do not respond to treatment or acquire resistance. Hence there remains the need to identify novel targets for therapy and biomarkers for prediction of response to treatment. A quantitative proteomics study of matched normal and tumor biopsies identified 63 proteins to be significantly increased or decreased in stage-specific tumors. Some have previously been associated with breast cancer, while others such as cofilin-1 represent new targets for investigation. Cofilin-1 was subject to a range of analyses to determine its association with breast cancer. Materials and Methods. Western blotting (WB) was performed on protein extracts from breast cancer cell lines and matched normal and tumor biopsies from Cypriot patients with different stages of the disease. Immunohistochemistry (IHC) was carried out on core biopsies from the Leeds Breast Tissue Bank. Multiple reaction monitoring (MRM) mass spectrometry was performed on trypsin-digested protein extracts from biopsies. Data from protein (Human Protein Atlas) and genomics (BioGPS, TiGER, UniGene) databases were assimilated with the experimental results. Results. WB indicated that cofilin-1 was ubiquitously expressed in tumor cell lines, representative of Luminal A, Luminal B, basal-like, claudin-low and HER2 phenotypes, at higher levels than normal breast cell lines. WB also indicated increased expression of cofilin-1 in invasive carcinoma tissues, compared to matched normal. Patients with ductal carcinoma in situ or fibroadenoma exhibited less clear results, either increasing slightly or remaining unchanged. MRM analysis of three cofilin-1 peptides in tissue extracts of invasive carcinoma patients indicated expression only in tumor. IHC of core biopsies exhibited strong staining for cofilin-1 in ductal invasive carcinoma tissues with no staining in normal breast cells. Genomics and proteomics databases indicate that cofilin-1 is expressed in a diverse range of normal tissues including major organs, gastro-intestinal tract, skin and tonsils. However, mRNA and protein levels are observed to be increased in skin, lung, liver, pancreatic and breast tumors. Discussion. The original quantitative proteomics data indicated only relatively small changes in expression (less than 2-fold) due to dynamic range limitations of the technique. Additional analytical approaches substantiated that cofilin-1 is significantly up-regulated in advanced breast cancer patients. Further patient sets are required to confirm the importance of cofilin-1 levels in early stages of breast cancer compared to benign tissues. Bioinformatics provided further confidence in our findings, highlighting the value of utilising databases for evidence of disease-specific proteins. Citation Format: Chris Sutton, Sadr ul-Shaheed, Paul Loadman, Valerie Speirs, Andrew Hanby, Andreas Hadjisavvas, Kyriacos Kyriacou. Expression profiling of cofilin-1 in breast cancer cell lines and biopsies. [abstract]. In: Proceedings of the 104th Annual Meeting of the American Association for Cancer Research; 2013 Apr 6-10; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2013;73(8 Suppl):Abstract nr 2505. doi:10.1158/1538-7445.AM2013-2505

Introduction – Identification of markers of different stages of breast cancer remains a challenge. Although biofluids such as urine and plasma are preferred sources to discover potential biomarkers, tissue proteins are diluted compared to their site of expression and difficult to analyse due to degradation or due to the wide dynamic range of plasma proteins. As mastectomy is frequently used as part of treatment, it is possible to get sufficient histologically-defined tissue to perform proteomics profiling at the source of the disease and therefore more accurately identify changes in expression, for subsequent biomarker verification. Two dimensional separation of stable isotope-labelled total peptide mixtures from matched normal and disease biopsies from 10 patients with adenoma, DCIS or invasive carcinoma were compared in order to identify markers of different stages of the disease. Methods – Two lysis buffers, RIPA and urea, in combination with sonication, were used sequentially to maximise protein extraction from matched normal and diseased breast biopsies of 10 patients. The biopsies were split into three groups each comprising matched normal and diseased protein extracts from 4 patients one of which is common to all the groups to act as an internal control. Each protein extract in each group was trypsin-digested and iTRAQ (isobaric tag for relative and absolute quantitation) labelled. The digests from each group were pooled together and the resulting peptide mixture separated using isoelectric focusing followed by reverse phase nanoHPLC. Fractions from nanoHPLC were analysed by MALDI (matrix assisted laser desorption/ionisation) MS and MS/MS, and the data searched against a sequence database to identify proteins in the original sample. Results – The proteins identified in each group of 4 patients were compared and those which were observed in all three data sets, were subjected to further quantitative analysis. For each protein from each patient, a normal:tumor ratio was determined from the iTRAQ data. Those proteins for each patient that were significantly changed in expression (a ratio of 1.3 equates with a significant increase) were clustered together for further processing. Those proteins whose response was changed across a patient group (adenoma, DCIS or invasive carcinoma) were investigated for associations with cancer biology. Those which may represent novel disease stage-specific biomarkers were verified using immunohistochemistry and Western blotting. Discussion – A number of proteins significantly increased or decreased have previously been associated with breast cancer. In addition, there were a number of new proteins identified which were associated with adenoma, DCIS and invasive carcinoma stages of disease, and these may be suitable targets for drug development as well as for developing potential biomarkers. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 102nd Annual Meeting of the American Association for Cancer Research; 2011 Apr 2-6; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2011;71(8 Suppl):Abstract nr 4874. doi:10.1158/1538-7445.AM2011-4874

Hypoxia is a well established target for anticancer therapy. Within the tumor microenvironment, hypoxia does not reside alone; instead it exists in combination with multiple other pathophysiological features. The occurrence of these features in combination, presents a situation which is unique to tumors, and thus represents an attractive target for drug development. MCTS's provide an in vitro model system which encapsulates many of these features and enables the exploration of the molecular and biochemical changes mimicking those in vivo. Using a quantitative proteomics approach to characterise specific regions of the MCTS, it is hoped that novel targets for therapeutic interventions will be revealed. HT29 (colon adenocarcinoma) cell's were cultured as MCTS using spinner flasks. Spheroids were separated into 3 main fractions; the outer aerobic fraction (AF), the hypoxic fraction (HF) and the necrotic core (NC). This was achieved using serial trypsin treatments and gentle homogenisation. Proteins from each fraction were extracted and equal amounts from each were digested with trypsin. Resulting peptides were iTRAQ labelled and the fractions combined. The peptides were firstly initially separated according to their pI, using the Agilent OffGel system and then further separated by nano-HPLC, with fractions collected off-line onto a MALDI plate. MALDI TOF-TOF mass spectrometry was used to screen fractions in MS mode and a list of signals compiled for MS/MS analysis. The resulting MS/MS data was searched against protein sequence databases for identification. Validation of the proteomics results was achieved through western blot and Immunohistochemistry (IHC) analysis. The activity of a selection of proteins was also investigated using spectrophotometric assays. Confirmation of the spheroid separation methods was provided by hematoxylin and eosin staining and FAC analysis, where the necrotic core cells can be identified by their significantly smaller size. IHC using the endogenous hypoxia marker Carbonic Anhydrase IX was used to confirm the hypoxic status of these cells following their isolation. MS analysis resulted in 1031 protein identifications, of which 6.1 and 18.1% were shown at a higher level in the HF and NC, respectively, relative to the AF. Further, 4.9 and 9.8% of proteins were shown to be present at lower levels in the HF and NC, respectively, when compared to the AF. Activity assays, IHC and western blot analysis for selected proteins that significantly changed in expression showed good agreement with the MS-derived results. Many of those proteins identified as differentially expressed in the HF and NC represented established cancer associated proteins. Interestingly, a number of proteins, with no previous association with cancer, were shown to be up-regulated in both the HF and NC and may upon validation provide attractive leads for therapeutic intervention. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 102nd Annual Meeting of the American Association for Cancer Research; 2011 Apr 2-6; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2011;71(8 Suppl):Abstract nr 4872. doi:10.1158/1538-7445.AM2011-4872

Introduction - Quantitative proteomic profiling of breast tissue has proven difficult due to its inherent histological complexity. Substantial differences in stroma, vasculature and cellular composition of normal and tumors have further exacerbated analysis. In order to address these issues, a novel strategy for proteomics analysis was developed to determine differences between normal and disease tissue and between patients with adenoma and invasive carcinoma. Methods - A dual lysis buffer method for extracting proteins, in combination with sonication, was used to maximise recovery from normal and diseased breast biopsies. Protein extracts from matched normal breast and tumors of three patients (one with adenoma and two with invasive carcinoma) were trypsin-digested, were iTRAQ (isobaric tag for relative and absolute quantitation) labelled, pooled and the resulting peptide mixture separated using isoelectricfocusing in the first dimension and reverse phase nanoHPLC in the second dimension. The eluate from nanoHPLC was collected onto matrix assisted laser desorption/ionisation plates, analysed by MALDI MS and MS/MS, the subsequent data searched against a sequence database to identify proteins in the original sample. Results - A total of 481 proteins with associated normal: tumor iTRAQ ratios for each patient. iTRAQ ratios were indicative of increased or decreased levels of each protein in tumor compared to normal tissue. Proteins were categorised by location as blood (13% of the identified proteins), extracellular (12%) and cellular (75%). The average ratios for each group of proteins provided a gross indication of the relative levels of each tissue component in the matched normal and tumor biopsies and demonstrated marked difference in adenoma compared to invasive carcinoma. iTRAQ ratios were normalised to enable comparison of significantly changed proteins between patients. There were many cellular proteins in common between the two invasive carcinoma patients (54 increased and 51 decreased in tumors) but few between either of the invasive carcinoma patients and the adenoma patient. Discussion - A number of proteins significantly increased or decreased have previously been associated with breast cancer (Tropomyosin beta chain, Periostin, Small breast epithelial mucin and Breast cancer estrogen-inducible protein were increased and Selenium-binding protein 1, Secreted frizzled-related protein 1 precursor and Kinectin were decreased), supporting the approach we have developed for proteomics analysis of breast tissues. Note: This abstract was not presented at the AACR 101st Annual Meeting 2010 because the presenter was unable to attend. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 101st Annual Meeting of the American Association for Cancer Research; 2010 Apr 17-21; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2010;70(8 Suppl):Abstract nr 5555.