Targeting of tumor associated antigens in renal cell carcinoma using proteome-based analysis and their clinical significance

The suitability of proteome-based strategies for the targeting of tumor-associated markers along with further analysis regarding their clinical significance were investigated in human renal cell carcinoma (RCC). The immunogenic protein expression profile of normal kidney and RCC cell lines was studied by proteome analysis combined with immunoblotting using sera from healthy donors and RCC patients, also termed PROTEOMEX. Employing this approach, a series of proteins reactive with either RCC patient sera and/or reactive with control sera were identified by microanalysis of tryptic peptides. Some of these candidate antigens represent members of the cytoskeletal family, such as cytokeratins, in particular cytokeratin 8, cytoskeletal tropomyosin, F-actin capping protein, gamma-actin, stathmin, tubulin-alpha, tubulin-beta and vimentin. The expression pattern and clinical significance of three of these antigens, namely cytokeratin 8, stathmin and vimentin, were further analyzed in a large series of surgically removed RCC lesions of distinct subtypes. A heterogeneous expression pattern of cytokeratin 8, stathmin and vimentin was demonstrated in the different RCC subtypes. All epithelial cells of the autologous normal kidney showed a strong cytokeratin 8 staining pattern, whereas they totally lack vimentin expression. Stathmin was expressed in 10% of tubule cells. In conclusion, PROTEOMEX could be employed for the identification of tumor-associated antigens of the cytoskeleton which are differentially expressed in RCC of distinct subtypes as well as in normal renal epithelium.     

Identification of metabolic enzymes in renal cell carcinoma utilizing PROTEOMEX analyses

PROTEOMEX, an approach which combines conventional proteome analysis with serological screening, is a powerful tool to separate proteins and identify immunogenic components in malignant diseases. By applying this approach, we characterized nine metabolic enzymes which were differentially expressed in renal cell carcinoma (RCC) cell lines and compared their expression profiles to that of normal kidney epithelium cells. Four of these proteins, superoxide dismutase (SODC), triosephosphatase isomerase (TPIS), thioredoxin (THIO) and ubiquitin carboxyl-terminal hydrolase (UBL1) were further analysed for both their constitutive and interferon (IFN)-gamma inducible protein expression pattern in cell lines or tissue specimens derived from RCC or normal kidney epithelium using Western blot analysis and immunohistochemistry, respectively. With the exception of the RCC cell line MZ1940RC, which completely lacks the expression of UBL1, a heterogeneous and variable expression pattern of the different metabolic enzymes was detected in RCC and normal renal epithelium. The highest differences in the expression levels were found for THIO in the RCC cell lines, which was 2-fold upregulated when compared to autologous normal kidney epithelium. Moreover, IFN-gamma treatment did not influence the constitutive expression of these metabolic enzymes. Thus, PROTEOMEX represents a valuable approach for the identification of metabolic enzymes which might be used as markers for the diagnosis of RCC.     

Candidate biomarkers in renal cell carcinoma

Although the human genome has been decoded, the knowledge about the pathogenesis of diseases including cancer is still limited. By focusing on renal cell carcinoma (RCC) we here summarize the data of various research groups analyzing the protein/peptide expression profiles of tumor lesions/cell lines or serum obtained from patients and respective controls. Different powerful approaches such as 2-DE, PROTEOMEX/SERPA/SPEARS, and T cell epitope discovery upon elution of MHC class I-bound peptides in combination with MS/LC-MS/MS revealed 500 differentially expressed proteins. The overlap in target recognition limits the pool to 299 unique protein identities, but only few thereof (12%) have been validated. The management, analysis, and interpretation of the distinct data sets derived from 27 publications required bioinformatic restructuring of the results. However, the comprehensive analysis of the results expands the knowledge about the pathophysiology of RCC in particular of the most prominent clear cell subtype by providing information on the differentially expressed proteins, their regulation status in RCC compared to normal kidney epithelium next to additional information on MHC-presented T cell epitopes and on serological targets. Despite the low number of validated differentially expressed proteins some of them might serve as candidate biomarkers for the diagnosis and/or as therapeutic targets.     

Identification of fatty acid binding proteins as markers associated with the initiation and/or progression of renal cell carcinoma

Renal cell carcinoma (RCC) representing the most common neoplasia of the kidney in Western countries is a histologic diverse disease with an often unpredictable course. The prognosis of RCC is worsened with the onset of metastasis, and the therapies currently available are of limited success for the treatment of metastatic RCC. Although gene expression analyses and other methods are promising tools clarifying and standardizing the pathological classification of RCC, novel innovative molecular markers for the diagnosis, prognosis, and for the monitoring of this disease during therapy as well as potential therapeutic targets are urgently needed. Using proteome-based strategies, a number of RCC-associated markers either over-expressed or down-regulated in tumor lesions in comparison to the normal epithelium have been identified which have been implicated in tumorigenesis, but never linked to the initiation and/or progression of RCC. These include members of the fatty acid binding protein family, which have the potential to serve as diagnostic or prognostic markers for the screening of RCC patients.     

Design of proteome-based studies in combination with serology for the identification of biomarkers and novel targets

Recently proteome analysis has rapidly developed in the post-genome era and is now widely accepted as a complementary technology to genetic profiling. The improvement in the technology of both two-dimensional electrophoresis (2-DE) analysis as well as protein identification has made proteomics a valuable and powerful tool to study human diseases. A combination of conventional proteome analysis with serology has been developed as a promising experimental approach for the discovery of serological markers in different malignancies. However, the design of proteome-based studies has to be carefully performed since there are a number of critical needs for systematic and reproducible proteome analysis. In particular, the selection of tissue and its preparation represent an important step in proteome analysis. Besides the preparation of protein samples, the 2-DE and protein identification is a further critical issue. So far proteome-based technologies have been successfully used in tumor immunnology for the identification of tumor-specific autoantigens. Similarly, this technology has been employed for the detection of virulence factors, antigens and vaccine candidates in infectious diseases, as well as for the identification of diagnostic and prognostic markers, suggesting that proteome-based analysis is a promising tool for the identification of prognostic, diagnostic markers as well as for novel therapeutic targets which could be used for treatment of diseases. The integration of proteome-based approaches with data from genomic or genetic profiling will lead to a better understanding of different diseases, which will then contribute to the direct translation of the research findings into clinical practice.     

The expression of ketohexokinase is diminished in human clear cell type of renal cell carcinoma

For identification and targeting of tumor-associated marker proteins, the proteome of clear cell type of renal cell carcinoma (RCC) and normal kidney tissues was analyzed by 2-DE. Ketohexokinase (also called fructokinase), which catalyzes the phosphorylation of fructose to fructose 1-phosphate, was identified by MALDI-TOF MS and found to be expressed at low rates in the renal tumor tissues. We found a decreased amount of ketohexokinase mRNA in RCC compared to that observed in the normal kidney tissues by Northern blot. The activity of ketohexokinase in 20 clear cell RCC specimens and the 20 corresponding normal kidneys was investigated, and its activity was shown to be approximately 1.4-fold lower in the RCC specimens than in the normal kidney. Ketohexokinase activity in tumor stage pT3 RCC was 1.5-fold lower than in pT1 RCC. The level of ketohexokinase activity in histological grade 3 RCC was 1.8-fold lower than that in grade 1 cancer. In addition, using in situ hybridization, it was revealed that ketohexokinase in the normal kidney tissue was confined to the proximal tubular epithelial cells, while the expression of ketohexokinase in RCC tissues was extremely low. Our research results show that the expression of human ketohexokinase was diminished in clear cell RCC.     

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.     

Heat shock protein expression and anti-heat shock protein reactivity in renal cell carcinoma

Heat shock proteins (HSP) are families of highly conserved proteins which are induced in cells and tissues upon exposure to extreme conditions causing acute or chronic stress. They exhibit distinct functions and have been implicated in the pathogenesis of a number of diseases, including cancer. A causal relationship between HSP expression and immunogenicity has been demonstrated in murine and human tumors and is also associated with the immune response. In order to investigate the correlation of HSP expression and their immunogenic potential in renal cell carcinoma (RCC), we here analyzed (i) the protein expression profile of various members of the HSP family in untreated and interferon (IFN)-gamma treated RCC cell lines as well as normal kidney epithelium, and (ii) the anti-heat shock protein reactivity in sera derived from RCC patients and healthy controls using proteomics-based techniques. A heterogeneous expression pattern of members of the HSP families was demonstrated in RCC cell lines and in cells representing normal renal epithelium. In some cases the expression rate is moderately altered by IFN-gamma treatment. In addition, a distinct anti-heat shock protein reactivity could be detected in autologous and allogeneic sera from RCC patients and healthy controls. These data suggest that HSP play a role in the immunogenicity of RCC and thus might be used for the design of immunization strategies to induce a potent antitumor response in this disease.     

Progression of Human Renal Cell Carcinoma via Inhibition of RhoA-ROCK Axis by PARG1

Renal cell carcinoma (RCC) is the most lethal urological malignancy with high risk of recurrence; thus, new prognostic biomarkers are needed. In this study, a new RCC antigen, PTPL1 associated RhoGAP1 (PARG1), was identified by using serological identification of recombinant cDNA expression cloning with sera from RCC patients. PARG1 protein was found to be differentially expressed in RCC cells among patients. High PARG1 expression is significantly correlated with various clinicopathological factors relating to cancer cell proliferation and invasion, including G3 percentage (P = .0046), Ki-67 score (p expression is also correlated with high recurrence of N0M0 patients (P = .0084) and poor prognosis in RCC patients (P = .0345). Multivariate analysis has revealed that high PARG1 expression is an independent factor for recurrence (P = .0149) of N0M0 RCC patients. In in vitro studies, depletion of PARG1by siRNA in human RCC cell lines inhibited their proliferation through inducing G1 cell cycle arrest via upregulation of p53 and subsequent p21^Cip1/Waf1, which are mediated by increased RhoA-ROCK activities. Similarly, PARG1 depletion cells inhibited invasion ability via increasing RhoA-ROCK activities in the RCC cell lines. Conversely, overexpression of PARG1 on human embryonic kidney cell line HEK293T promotes its cell proliferation and invasion. These results indicate that PARG1 plays crucial roles in progression of human RCC in increasing cell proliferation and invasion ability via inhibition of the RhoA-ROCK axis, and PARG1 is a poor prognostic marker, particularly for high recurrence of N0M0 RCC patients.     

Proteomic analysis in clear cell renal cell carcinoma: identification of differentially expressed protein by 2-D DIGE

Renal cell carcinoma (RCC), the most common neoplasm affecting the adult kidney, is characterised by heterogeneity of histological subtypes, drug resistance, and absence of molecular markers. Two-dimensional difference gel electrophoresis (2-D DIGE) technology in combination with mass spectrometry (MS) was applied to detect differentially expressed proteins in 20 pairs of RCC tissues and matched adjacent normal kidney cortex (ANK), in order to search for RCC markers. After gel analysis by DeCyder 6.5 and EDA software, differentially expressed protein spots were excised from Deep Purple stained preparative 2DE gel. A total of 100 proteins were identified by MS out of 2500 spots, 23 and 77 of these were, respectively, over- and down-expressed in RCC. The Principal Component Analysis applied to gels and protein spots exactly separated the two sample classes in two groups: RCC and ANK. Moreover, some spots, including ANXA2, PPIA, FABP7 and LEG1, resulted highly differential. The DIGE data were also confirmed by immunoblotting analysis for these proteins. In conclusion, we suggest that applying 2-D DIGE to RCC may provide the basis for a better molecular characterization and for the discovery of candidate biomarkers.     

TGF-alpha as a candidate tumor antigen for renal cell carcinomas

Objectives  Patients with renal cell carcinomas (RCC) have few treatment options, underscoring the importance of developing new approaches such as immunotherapy. However, few tumor associated antigens (TAA), which can be targeted by immunotherapy, have been identified for this type of cancer. von Hippel-Lindau clear cell RCC (VHL^−/−RCC) are characterized by mutations in the VHL tumor suppressor gene. Loss of VHL function causes the overexpression of transforming growth factor (TGF)-α, leading us to hypothesize that TGF-α could be a potential TAA for immunotherapy of kidney cancer, which was evaluated in this study. Methods and results  We first confirmed the absent or weak expression of TGF-α in important normal tissues as well as its overexpression in 61% of renal tumors in comparison to autologous normal kidney tissues. In addition, we demonstrated the immunogenicity of TGF-α, by expanding many T cell lines specific for certain TGF-α peptides or the mature TGF-α protein, when presented by major histocompatibility complex (MHC) molecules on the surface of antigen-presenting cells. Interestingly, some of these TGF-α-specific T cells were polyfunctionals and secreted IFN-γ, TNF-α and IL-2. Conclusion  We have shown that TGF-α is a valid candidate TAA, which should allow the development of a targeted immunotherapy.     

Proteomic analysis of anaplastic lymphoma cell lines: identification of potential tumour markers

Anaplastic large-cell lymphomas (ALCL) are high grade lymphomas of T or null phenotype often associated with the t(2;5) translocation leading to the expression of a chimeric protein consisting of the N-terminal portion of nucleophosmin (NPM) and the intracellular domain of the anaplastic lymphoma kinase (ALK). Although ALCL are recognized as distinct clinical, biological and cytogenetic entities, heterogeneities persist in this group of tumours, which exhibit a broad spectrum of morphological features. Particularly, the common type tumour consisting in large cells contrast with the small cell variant that is sometimes associated with a leukemic phase. The ALK-negative ALCL is often associated with a poor prognosis. Here, we investigated the proteome of these subtypes of tumours using patient-derived cell lines. We compared the proteome of the cytosolic fraction of NPM-ALK-positive versus NPM-ALK-negative cells on one hand, and the proteome of common cell type versus small cell variant on the other hand. The identification of a set of proteins differentially expressed in the subtypes of ALCL points to new diagnosis/prognosis markers. This study also provides interesting information on the molecular mechanisms responsible for the different subtypes of ALCL.     

Protein profiling of microdomains purified from renal cell carcinoma and normal kidney tissue samples

Renal cell carcinoma (RCC) is representing about 3% of all adult cancers. A promising strategy for cancer biomarker discovery is subcellular comparative proteomics, allowing enriching specific cell compartments and assessing differences in protein expression patterns. We investigated the proteomic profile of a peculiar RCC subcellular compartment, plasma membrane microdomains (MD), involved in cell signalling, transport, proliferation and in many human diseases, such as cancer. Subcellular fractions were prepared by differential centrifugation from surgical samples of RCC and adjacent normal kidney (ANK). MD were isolated from plasma-membrane-enriched fractions after Triton X-100 treatment and sucrose density gradient ultracentrifugation. MD derived from RCC and ANK tissues were analyzed after SDS-PAGE separation by LC-ESI-MS/MS. We identified 93 proteins from MD isolated from RCC tissue, and 98 proteins from ANK MD. About 70% of the identified proteins are membrane-associated and about half of these are known as microdomain-associated. GRAVY scores assignment shows that most identified proteins (about 70%) are in the hydrophobic range. We chose a panel of proteins to validate their differential expression by WB. In conclusion, our work shows that RCC microdomain proteome is reproducibly different from ANK, and suggests that mining into such differences may support new biomarker discovery.     

Identification of alphaB-crystallin, a biomarker of renal cell carcinoma by SELDI-TOF MS

Spectrometric-based surface-enhanced laser desorption/ionization ProteinChip (SELDI-TOF) facilitates rapid and easy analysis of protein mixtures and is often exploited to define potential diagnostic markers from sera. However, SELDI- TOF is a relatively insensitive technique and unable to detect circulating proteins at low levels even if they are differentially expressed in cancer patients. Therefore, we applied this technology to study tissues from renal cell carcinomas (RCC) in comparison to healthy controls. We found that different biomarkers are identified from tissues than those previously identified in serum, and that serum markers are often not produced by the tumors themselves at detectable levels, reflecting the nonspecific nature of many circulating biomarkers. We detected and characterized áB-crystallin as an overexpressed protein in RCC tissues and showed differential expression by immunohistochemistry. We conclude that SELDI-TOF is more useful for the identification of biomarkers that are synthesized by diseased tissues than for the identification of serum biomarkers and identifies a separate set of markers. We suggest that SELDI-TOF should be used to screen human cancer tissues to identify potential tissue-specific proteins and simpler and more sensitive techniques can then be applied to determine their validity as biomarkers in biological fluids.     

A novel ganglioside isolated from renal cell carcinoma

In renal cell carcinoma (RCC), the level of higher gangliosides is correlated with degree of metastatic potential, and cell lines derived from metastatic deposits of RCC are characterized by high expression of disialogangliosides (Saito, S., Orikasa, S., Ohyama, C., Satoh, M., and Fukushi, Y. (1991) Int. J. Cancer 49, 329-334 and Saito, S., Orikasa, S., Satoh, M., Ohyama, C., Ito, A., and Takahashi, T. (1997) Jpn. J. Cancer Res. (Gann) 88, 652-659). We now report two disialogangliosides, G1 and G2, found in the RCC cell line TOS-1. G1 from TOS-1 cells was characterized as having a novel hybrid structure between ganglio-series (region I as in Structure; same as the terminal structure of ganglioside GM2), and the lacto-series type 1 (region II). The characterization was based on reactivity with various monoclonal antibodies (mAbs) with defined epitope specificity, as well as monosaccharide and fatty acid component analysis, (1)H NMR spectroscopy, and electrospray ionization mass spectrometry of the intact compound. G1 showed strong reactivity with mAb RM2, raised originally against TOS-1 cells, and weak cross-reactivity with anti-GM2 mAb MK-1-8. The antigen is hereby termed GalNAc disialosyl Lc4Cer (IV4GalNAcIV3NeuAcIII6NeuAcLc4; abbreviated GalNAcDSLc4). G2 was identified by 1H NMR and mass spectrometry as having a structure similar to Structure but without the GalNAcbeta1-->4 substitution and showed strong reactivity with mAb FH9 reported previously to be specific for disialosyl lacto-series type 1 (disialosyl Lc(4)) having vicinal alpha2-->3 and alpha2-->6 sialosyl residues, an antigen associated with human colonic cancer. Clinicopathological studies indicate that expression of these disialoganglioside antigens in RCC tissue is correlated with the metastatic potential of RCC.     

Quantitative Global Proteome and Lysine Succinylome Analyses Reveal the Effects of Energy Metabolism in Renal Cell Carcinoma

In light of the increasing incidence of renal cell carcinoma (RCC), its molecular mechanisms have been comprehensively explored in numerous recent studies. However, few studies focus on the influence of multi‐factor interactions during the occurrence and development of RCC. This study aims to investigate the quantitative global proteome and the changes in lysine succinylation in related proteins, seeking to facilitate a better understanding of the molecular mechanisms underlying RCC. LC‐MS/MS combined with bioinformatics analysis are used to quantitatively detect the perspectives at the global protein level. IP and WB analysis were conducted to further verify the alternations of related proteins and lysine succinylation. A total of 3,217 proteins and 1,238 lysine succinylation sites are quantified in RCC tissues, and 668 differentially expressed proteins and 161 differentially expressed lysine succinylation sites are identified. Besides, expressions of PGK1 and PKM2 at protein and lysine, succinylation levels are significantly altered in RCC tissues. Bioinformatics analysis indicates that the glycolysis pathway is a potential mechanism of RCC progression and lysine succinylation may plays a potential role in energy metabolism. These results can provide a new direction for exploring the molecular mechanism of RCC tumorigenesis.