| HOME | HELP | FEEDBACK | SUBSCRIPTIONS | ARCHIVE | SEARCH | TABLE OF CONTENTS |
Experimental Therapeutics, Molecular Targets, and Chemical Biology |
1 Department of Chemistry and Applied Biosciences, ETH Zurich, and 2 Philochem AG, c/o ETH Zurich, Zurich, Switzerland
Requests for reprints: Dario Neri, ETH Zurich, Institute of Pharmaceutical Sciences, Wolfgang-Pauli-Strasse 10, HCI G396, 8093 Zurich, Switzerland. E-mail: dario.neri{at}pharma.ethz.ch.
| Abstract |
|---|
|
|
|---|
| Introduction |
|---|
|
|
|---|
Biomedical interventions that target the neovasculature of metastatic cancer crucially rely on the identification of proteins, which are abundantly expressed around the tumor blood vessels while being undetectable in most normal organs and in plasma. A number of experimental strategies have recently been proposed for the identification of vascular tumor markers. They include the transcriptomic analysis of tumor-derived endothelial cells (e.g., ref. 8), bioinformatics strategies that compare gene expression in tumoral and normal endothelial cells (e.g., ref. 9), isolation of antibodies against tumor endothelial cell antigens (e.g., ref. 10), as well as proteomic approaches based on the terminal perfusion of tumor-bearing rats with silica beads, followed by mass spectrometry (MS)–based analysis of proteins stripped from the vascular membranes (11). Only few markers of tumor angiogenesis have been extensively characterized and validated thus far (5, 7, 12). However, our group has developed human monoclonal antibodies capable of vascular targeting in animal models of cancer (for a recent review, see ref. 7) and in patients with solid tumors (13). Two of these products are currently being investigated in phase II clinical trials (14).
We have recently developed a general methodology for the identification of accessible vascular proteins in normal organs and in tumors. This technology relies on the in vivo perfusion of tumor-bearing animals (15) or ex vivo perfusion of surgically resected human organs with cancer (12), with reactive ester derivatives of biotin, which covalently modify accessible proteins in vascular structures. Biotinylated proteins in different organs can be purified on streptavidin resins, followed by a MS–based identification and relative quantification using liquid chromatography (LC)-MS and LC-MS/MS procedures (16, 17).
In this article, we report a comparative analysis of accessible vascular proteins in mouse liver metastases and in normal liver, obtained by terminal perfusion of mice bearing metastatic F9 tumors (18) with a sulfo-N-hydroxysuccinimido ester derivative of biotin. The MS-based analysis of biotinylated proteins recovered from normal liver and from metastatic lesions, followed by immunohistochemical validation of the most promising candidates, revealed striking differences in the expression of several proteins and/or splice variants. In particular, the observation that the alternatively spliced extra-domain A (EDA) and extra-domain B (EDB) domains of fibronectin represent good-quality vascular markers of liver metastases may open novel imaging opportunities and targeted therapeutic modalities.
| Materials and Methods |
|---|
|
|
|---|
5 x 105 mutant F9 murine teratocarcinoma cells (18), which had been kindly provided by Dario Rusciano (SIFI, Catania, Italy). Mice were used 3 weeks after tumor cell injection for in vivo biotinylation, targeting experiments or organ excision for immunohistochemistry. In vivo biotinylation. In vivo biotinylation experiments were done as described previously (15, 16). A brief description is provided in the Supplementary Experimental Procedures.
After perfusion, organs and tumors were excised, and specimens were either freshly snap-frozen for preparation of organ homogenates or embedded in cryoembedding compound (Microm) and frozen in isopentane in liquid nitrogen for the preparation of cryosections for histochemical analysis. Unperfused mice were used as negative controls for the proteomic analysis.
Preparation of protein extracts for proteomic analysis. Specimens were resuspended in 40 µL/mg tissue of lysis buffer [2% SDS, 50 mmol/L Tris, 10 mmol/L EDTA, CompleteE proteinase inhibitor cocktail (Roche Diagnostics) in PBS (pH 7.4)] and homogenized using an Ultra-Turrax T8 disperser (IKA-Werke). Homogenates were sonicated using a Vibra-cell (Sonics), followed by 15 min incubation at 99°C and 20 min centrifugation at 15,000 x g. The supernatant was used as total protein extract. Protein concentration was determined using the BCA Protein Assay Reagent Kit (Pierce).
Purification of biotinylated proteins. For each sample, 960 µL streptavidin-sepharose (Amersham Biosciences) slurry were washed thrice in buffer A (1% NP40, 0.1% SDS in PBS), pelleted, and mixed with 15 mg of total protein extract. Capture of biotinylated proteins was allowed to proceed for 2 h at room temperature in a revolving mixer. The supernatant was removed, and the resin was washed thrice with buffer A, twice with buffer B (0.1% NP40, 1 mol/L NaCl in PBS), and once with 50 mmol/L ammonium bicarbonate. Finally, the resin was resuspended in 400 µL of a 50-mmol/L solution of ammonium bicarbonate and 20 µL of sequencing grade modified porcine trypsin (stock solution of 40 ng/µL in 50 mmol/L ammonium bicarbonate; Promega) were added. Protease digestion was carried out overnight at 37°C under constant agitation. Peptides were desalted, purified, and concentrated with C18 microcolumns (ZipTip C18, Millipore). After lyophilization, peptides were stored at –20°C.
Nanocapillary HPLC with automated online fraction spotting onto matrix-assisted laser desorption/ionization target plates. Tryptic peptides were separated by reverse-phase high-performance liquid chromatography (RP-HPLC) using an UltiMate nanoscale LC system and a FAMOS microautosampler (LC Packings) controlled by the Chromeleon software (Dionex). Mobile phase A consisted of 2% acetonitrile and 0.1% trifluoroacetic acid (TFA) in water, and mobile phase B was 80% acetonitrile and 0.1% TFA in water. The flow rate was 300 nL/min. Lyophilized peptides derived from the digestion of biotinylated protein affinity purified from 1.5 mg of total protein were dissolved in 5 µL of buffer A and loaded on the column (inner diameter, 75 µm; length, 15 cm; filled with C18 PepMap 100, 3-µm, 100-Å beads; LC Packings). The peptides were eluted with a gradient of 0% to 30% B for 7 min, 30% to 80% B for 67 min, 80% to 100% B for 3 min, and 100% B for 5 min; the column was equilibrated with 100% A for 20 min before analyzing the next sample. Eluting fractions were mixed with a solution of 3 mg/mL
-cyano-4-hydroxycinnamic acid, 277 pmol/mL neurotensin (internal standard), 0.1% TFA, and 70% acetonitrile in water and deposed on a 192-well matrix-assisted laser desorption/ionization (MALDI) target plate using an online Probot system (Dionex). The flow of the MALDI-matrix solution was set to 1.083 µL/min. Thus, each fraction collected during 20 s contained 361 nL MALDI-matrix solution and 100 nL sample. The end concentration of neurotensin was 100 fmol per well.
MALDI-TOF/TOF mass spectrometry. MALDI–time-of-flight (TOF) and MALDI-TOF/TOF mass spectrometric analyses were carried out using the 4700 Proteomics Analyzer (Applied Biosystems). A detailed description of the procedure and settings is provided in the Supplementary Experimental Procedures.
Antibodies. Polyclonal goat anti-CD98 (sc-7094) and rat monoclonal anti-perlecan (sc-33707) antibodies were purchased from Santa Cruz Biotechnology. According to information from the provider, the anti-CD98 antibody was raised against a COOH-terminal peptide from the CD98 heavy chain.
The isolation of anti-EDB antibody scFv(L19) has been described before (19). The scFv fragment specific to EDA was isolated from the human antibody library ETH-2 (19) using published procedures (20) and the recombinant protein comprising domains 11, EDA, and 12 of human fibronectin as antigen (21). The ETH-2–derived clone was used as template for the construction of an affinity maturation library, which was screened for the identification of EDA binders with improved affinity. The antibody sequence is reported in Results. The detailed experimental procedures for antibody isolation will be published elsewhere.
Specificity ELISA. The specificity of the anti-EDA scFv antibody was tested by ELISA using the recombinant antigen comprising the domains 11, EDA, and 12 of human fibronectin as well as several other fibronectin type III homology repeat domains including the EDB of fibronectin. ELISA plate wells were coated with the recombinant antigen, blocked with 2% milk powder (Rapilait) in PBS, and incubated with PBS containing 1% milk powder, 5 µg/mL purified scFv antibody, and 1 µg/mL anti-myc antibody 9E10. After incubating for 1 h and washing, bound antibody was detected with anti-mouse IgG-horseradish peroxidase conjugate (Sigma). Peroxidase activity was detected by adding BM blue POD substrate (Roche), and the reaction was stopped by the addition of H2SO4. The average values and the SD from three replicate wells are reported.
Histochemistry. All stainings were done on acetone-fixed cryostat sections (10 µm) of freshly frozen tissue specimens. In many cases, freshly frozen tissue sections in microarray format were obtained from BioChain.
To verify successful in vivo biotinylation, staining of biotinylated structures was done as described in ref. (15) using streptavidin:biotinylated alkaline phosphatase complex (Biospa), Fast-Red TR (Sigma; in the presence of 1 mmol/L Levamisole to inhibit endogenous alkaline phosphatase), and hematoxylin solution (Sigma) for counterstaining.
Immunofluorescent staining with anti-CD98 and anti-perlecan antibodies was done according to standard protocols using Alexa Fluor 546 donkey anti-goat IgG or Alexa Fluor 546 goat anti-rat IgG (Invitrogen), respectively, as secondary antibodies.
Immunohistochemical staining with scFv antibodies, carrying peptidic tags, was done as described (22).
In vivo targeting with near-IR fluorescence-labeled anti-EDA antibody. Anti-EDA human antibody fragment was labeled with the commercially available near-IR fluorophore derivative Alexa Fluor 750 carboxylic acid succinimidyl ester (Invitrogen) according to the provider's protocol. The degree of labeling, estimated according to the Invitrogen labeling protocol, was five dye molecules per antibody molecule. The Alexa Fluor 750–labeled scFv fragment (in a final concentration of 0.3 mg/mL) was injected (200 µL per mouse, i.e., 60 µg antibody per mouse) in the tail vein of 129Sv mice 3 weeks after i.v. injection of mutant (18) F9 teratocarcinoma cells. Mice organs were excised 6 h after injection of the labeled antibody and imaged with a home-built IR fluorescence imager (23) equipped with a tungsten halogen lamp, excitation and emission filters specific for Alexa 750, and a monochrome CCD camera.
Quantitative biodistribution study with radioiodinated anti-EDA antibody. The in vivo targeting performance was evaluated quantitatively by biodistribution analysis as described previously (24). For this study, the noncovalent homodimeric antibody format ("diabody") was used, which was obtained by replacement of the linker between the variable heavy and variable light chain by a shorter linker comprising only the amino acid sequence GSSGG. In brief, the purified antibody was radioiodinated and injected into the tail vein of immunocompetent 129Sv mice bearing s.c. implanted F9 murine teratocarcinoma (7 µg, 12 µCi per mouse). Mice were sacrificed 24 h after injection, organs were weighed, and radioactivity was counted with a Packard Cobra gamma counter. Radioactivity content of representative organs was expressed as the percentage of the injected dose per gram of tissue (%ID/g).
| Results |
|---|
|
|
|---|
|
Identification of differentially expressed proteins and splice variants. In total, 1,291 different peptides were identified (>95% Mascot confidence level), which were grouped by the Mascot software to 497 different peptide sets (see Supplementary Table S1). Some of these peptide sets (62; see Supplementary Table S1) were found in negative control samples from non-biotinylated mice (like carboxylases which carry endogenous biotin as a cofactor, keratins as contaminants, or very abundant proteins like serum albumin). Of the residual 435 identified peptide sets, 331 could be annotated by the Mascot software unambiguously to a single protein, whereas 104 peptide sets were annotated to multiple (in total to 358) proteins. In most cases, multiple proteins annotated to the same peptide set belong to a related protein family (e.g., immunoglobulins) or can even be the same proteins with different database entries (see Supplementary Table S1). Of the 435 different peptide sets, 117 were exclusively found in metastasis specimens, 193 only in healthy liver specimens, and 125 in both tissue types. Table 1
lists a representative set of proteins that were found only in the healthy liver specimens, only in the F9 metastasis specimens, or in both. The number of mice in which the protein was identified is indicated. In the normal liver specimens, several intracellular enzymes were identified, possibly reflecting a rapid internalization of the sulfosuccinimidyl-6-[biotin-amido]hexanoate reagent in hepatocytes of the sinusoids. However, several membrane proteins and secreted proteins were also found, including the asialoglycoprotein receptor 1, the transmembrane proteins TIARP and carbonic anhydrase XIV. Similarly, many membrane and secreted proteins were found exclusively in the metastasis samples, including CD98 heavy chain, collagen XIV, vitronectin, clusterin, biglycan, laminin
-1 chain, and endoglin. Many of the proteins identified in the liver metastases had previously been reported to be associated with angiogenesis (see Discussion).
|
2-macroglobulin and murinoglobulin-1 were identified in all tumor samples but not in normal liver, see Table 1), consistent with the notion that blood coagulation may provide a provisional stroma in which metastatic cells attach and grow (25). The striking abundance of fibronectin-derived peptides detected in liver metastases, in spite of the fact that liver is the site of fibronectin biosynthesis, prompted us to investigate differences in the relative abundance of fibronectin-derived peptides and the overexpression of alternatively spliced domains. Supplementary Table S3 lists all fibronectin peptides identified in the proteomic analysis. Figure 2A shows a graphical representation of the fibronectin sequence and domain structure and the location of the peptides identified in the tumor and/or in the normal liver. Mouse fibronectin contains two type III globular extra-domains, which may undergo alternative splicing: EDA and EDB (for a review, see ref. 26). In addition, the IIICS segment (variable region, V region) undergoes different splicing patterns in humans (for a review, see ref. 27) and mice (see, e.g., ref. 28). Interestingly, all three EDA-derived peptides as well as the IIICS-derived peptide identified in our proteomic analysis were observed only in the tumor samples. EDB-derived peptides would not be visible in this analysis due to the fact that EDB contains no lysine residue and the two arginines give rise to peptides that are too large in size for detection. Figure 2B shows the relative intensity of normalized MS signals for two fibronectin-derived peptides: IAWESPQGQVSR, which is located within the EDA domain, and FLTTTPNSLLVSWQAPR, which is located in the fibronectin type III domain 16. The latter peptide was more abundant in the metastasis specimens, but was clearly detectable also in the normal liver counterpart. By contrast, EDA-derived peptides gave strong signals in the metastasis samples, but were completely undetectable (i.e., >100-fold lower signal) in normal liver.
|
|
|
To test the usefulness of EDA as a target for ligand-based vascular targeting of metastases, we did in vivo targeting experiments using near-IR fluorescence imaging. The human anti-EDA antibody fragment in the scFv format was labeled with Alexa Fluor 750 and injected i.v. into F9 metastases-bearing mice. Near-IR fluorescence imaging of the excised organs revealed a striking accumulation of the targeting agent in the metastatic lesions (Fig. 4D). For the quantitative assessment of the tumor-targeting properties of the anti-EDA antibody, a biodistribution analysis in 129Sv mice bearing s.c. F9 tumors was done using i.v. injection of a radioiodinated preparation of the noncovalent homodimeric form (diabody) of the antibody. Uptake values after 24 h (average % injected dose per gram tissue ± SD from an experiment with four replicate mice) showed a striking accumulation of the anti-EDA antibody in the tumor (13.0 ± 5.5% ID/g), but only low values in normal organs (e.g., 0.8 ± 0.06% ID/g in the liver, 1.2 ± 0.08% ID/g in the lung, 1.8 ± 0.4% ID/g in the spleen, 0.6 ± 0.08% ID/g in the heart, 1.9 ± 0.2% ID/g in the kidney, 1.1 ± 0.2% ID/g in the intestine, and 1.2 ± 0.3% ID/g in the blood).
Finally, we tested the expression of EDA in human tissues by immunohistochemical analysis using the human anti-EDA antibody (Fig. 5 ). Importantly, EDA was found to be strongly expressed in the neovasculature of human lung metastases and liver metastases as well as of a large panel of different other human tumors, whereas expression in normal tissues was negligible. Furthermore, a comprehensive study of human lung tumors showed that EDA is abundantly expressed in all important subtypes of lung cancer (see Supplementary Fig. S1).
|
| Discussion |
|---|
|
|
|---|
The identification of protein markers (such as CD98) on the surface of perivascular tumor cells is not surprising. Several antibody-based tumor-targeting studies have revealed that perivascular tumor cells are rapidly accessible to i.v. administered labeled antibody fragments (30, 31). Other proteins, such as perlecan and fibronectin isoforms, display an expression pattern that is closely associated to vascular structures. In particular, fibronectin isoforms seem to be ideally suited for ligand-based vascular tumor-targeting applications, in light of their specific and abundant expression in the neovasculature of both primary and metastatic lesions.
Some of the proteins found to be overexpressed in tumor liver metastases (Table 1 and Supplementary Table S2) have been considered before for antibody-based vascular targeting applications. For instance, endoglin has long been known to be overexpressed in the tumor neovasculature (see, e.g., ref. 6), although its expression in normal organs is not negligible (32).
Interestingly, ß-2-glycoprotein 1 (Table 1) has recently been described as the antigen of the antibody 3G4 (33), which targets anionic phospholipids on tumor blood vessels. A chimeric version of 3G4 (tarvacin/bavituximab) is currently in clinical development for oncological applications (Peregrine Pharmaceuticals, Inc.).
In our proteomic analysis, we found the CD98 heavy chain only in the metastasis but not in normal liver. Interestingly, CD98 heavy chain has been shown to mediate integrin-dependent signals, which promote tumorigenesis (34). In a recent transcriptomic study, CD98 heavy chain has been suggested as a marker of poor prognosis and as a potential therapeutic target in breast cancer (35).
Another protein which we found up-regulated in metastases is perlecan (identified in eight out of eight metastasis specimens with a total of 10 different peptides but only in one out of six healthy liver specimens with only one peptide; see Table 1 and Supplementary Table S2). Perlecan is a large multi-domain extracellular matrix proteoglycan that plays a crucial role in tissue and organ development (for an overview, see ref. 36). Perlecan has been shown to be overexpressed around newly formed blood vessels in a variety of human cancers, including tumors of the breast (37), liver (38), and ovarian (39), as well as colon and prostate (40).
Some of the most abundant proteins found to be closely associated to liver metastases of F9 tumors are blood components and/or products of blood coagulation. It has long been known that blood coagulation leads to the formation of a provisional stroma, which is instructive and permissive for the attachment and growth of metastatic cells (25).
Our findings confirm the value of unbiased chemical proteomics methodologies (such as the one described in this article, which relies on the biotinylation of primary amino groups in accessible proteins) for the characterization of a comprehensive list of proteins, which are selectively and abundantly found in the organs or in the sites of the pathology of interest. An atlas of abundant and accessible markers of pathology will be invaluable for ranking different tumor-associated antigens, which may be considered for antibody-based vascular targeting applications.
The alternatively spliced EDA domain of fibronectin was chosen for further characterization as a vascular marker of primary tumors and of metastatic lesions, for many reasons. First, we had observed a striking discrimination between tumor and normal liver specimens for EDA in our proteomic analysis. Second, unlike other candidate markers (such as
-2-macroglobulin, collagen
1 or murinoglobulin-1), EDA was known to be absent in serum and most normal tissues. Third, our lab has done more than 10 years of research on a different splice isoform of fibronectin, and we were most excited to see EDA(+) fibronectin ranking among the most promising vascular markers of neovasculature in metastatic lesions.
The immunohistochemical discrimination between liver metastases and host organ, using antibodies directed against the EDA and EDB domains of fibronectin, is impressive, particularly if one considers that the liver is the main site of plasma fibronectin synthesis. Even more importantly, our near-IR fluorescence imaging experiments showed that an anti-EDA antibody is capable of selectively targeting metastases in vivo. In our quantitative biodistribution experiments using mice bearing s.c. F9 tumors, the anti-EDA antibody in diabody format reached excellent tumor-to-blood (10.8:1) and tumor-to-organ ratios (>6.8:1). Furthermore, our immunohistochemical validation of EDA expression in human tissues revealed a strong staining of vascular structures in a large panel of human metastases and primary tumors, whereas expression in normal human tissues was negligible. Among others, we found EDA to be abundantly expressed in all important subtypes of lung cancer, the most common cancer in the world today (see Supplementary Fig. S1).
Antibodies represent the fastest growing sector of pharmaceutical biotechnology. Most of the antibodies in clinical developments are being investigated in the cancer field. Our group has moved L19-based biopharmaceuticals to phase II clinical trials for the therapy of cancer, making EDB one of the best characterized markers of angiogenesis in terms of biodistribution studies in tumor-bearing animals with radiolabeled antibody preparations (24, 41–43), of imaging studies in patients with cancer (13), and of therapeutic antibody derivatives (for a recent review, see ref. 7). The findings presented in this article suggest that EDA may represent an equally attractive target for the antibody-based delivery of bioactive agents to the neovasculature not only of solid tumors, but also of metastatic lesions. To the best of our knowledge, anti-EDA antibodies have not yet been tested in imaging or biodistribution studies and not in the clinic. Furthermore, whereas there are reports about EDA expression in tumor cells and in solid tumors at the mRNA level (see, e.g., refs. 44, 45), at the level of isolated protein (46) and at the immunohistochemical level (21, 47–50), we could not find any report of EDA expression in the neovasculature of liver and lung metastases. The work presented in this article strongly encourages the clinical development of anti-EDA antibody derivatives, in full analogy to anti-EDB antibodies.
| Acknowledgments |
|---|
The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked advertisement in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.
We thank the Functional Genomics Center Zurich for access to instrumentation and technical support. We are grateful to Prof. Dr. Luciano Zardi for help in the immunohistochemistry analysis of human liver metastases.
| Footnotes |
|---|
J.-N. Rybak and C. Roesli contributed equally to the work.
Dario Neri is a founder and shareholder of Philochem AG, a company that holds certain patents related to anti–extra-domain A antibodies.
Received 4/18/07. Revised 8/10/07. Accepted 9/19/07.
| References |
|---|
|
|
|---|
This article has been cited by other articles:
![]() |
B. Borgia, C. Roesli, T. Fugmann, C. Schliemann, M. Cesca, D. Neri, and R. Giavazzi A Proteomic Approach for the Identification of Vascular Markers of Liver Metastasis Cancer Res., January 1, 2010; 70(1): 309 - 318. [Abstract] [Full Text] [PDF] |
||||
![]() |
C. Roesli, B. Borgia, C. Schliemann, M. Gunthert, H. Wunderli-Allenspach, R. Giavazzi, and D. Neri Comparative Analysis of the Membrane Proteome of Closely Related Metastatic and Nonmetastatic Tumor Cells Cancer Res., July 1, 2009; 69(13): 5406 - 5414. [Abstract] [Full Text] [PDF] |
||||
![]() |
H. Hu, Y. Ran, Y. Zhang, Z. Zhou, S. J. Harris, L. Yu, L. Sun, J. Pan, J. Liu, J. Lou, et al. Antibody Library-based Tumor Endothelial Cells Surface Proteomic Functional Screen Reveals Migration-stimulating Factor as an Anti-angiogenic Target Mol. Cell. Proteomics, April 1, 2009; 8(4): 816 - 826. [Abstract] [Full Text] [PDF] |
||||
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| HOME | HELP | FEEDBACK | SUBSCRIPTIONS | ARCHIVE | SEARCH | TABLE OF CONTENTS |
| Cancer Research | Clinical Cancer Research |
| Cancer Epidemiology Biomarkers & Prevention | Molecular Cancer Therapeutics |
| Molecular Cancer Research | Cancer Prevention Research |
| Cancer Prevention Journals Portal | Cancer Reviews Online |
| Annual Meeting Education Book | Meeting Abstracts Online |