Abstract
Antibody drugs are widely used in cancer therapy, but conditions to maximize tumor penetration and efficacy have yet to be fully elucidated. In this study, we investigated the impact of antibody binding affinity on tumor targeting and penetration with affinity variants that recognize the same epitope. Specifically, we compared four derivatives of the C6.5 monoclonal antibody (MAb) which recognizes the same HER2 epitope (monovalent KDs ranging from 270nM to 0.56nM). Moderate affinity was associated with the highest tumor accumulation at 24hr and 120hr post i.v. injection, whereas high affinity was found to produce the lowest tumor accumulation. Highest affinity MAb were confined to the perivascular space of tumors with an average penetration of 20.4 +/− 7.5 microns from tumor blood vessels. Conversely, lowest affinity MAb exhibited a broader distribution pattern with an average penetration of 84.8 +/− 12.8 microns. In vitro internalization assays revealed that antibody internalization and catabolism generally increased with affinity, plateauing once the rate of HER2 internalization exceeded the rate of antibody dissociation. Effects of internalization and catabolism on tumor targeting were further examined using antibodies of moderate (C6.5) or high affinity (trastuzumab) labeled with residualizing (111In-labeled) or non-residualizing (125I-labeled) radioisotopes. Significant amounts of antibody of both affinities were degraded by tumors in vivo. Further, moderate to high affinity MAbs targeting the same HER2 epitope with monovalent affinity above 23nM had equal tumor accumulation of residualizing radiolabel over 120hrs. Results indicated equal tumor exposure, suggesting that MAb penetration and retention in tumors reflected affinity-based differences in tumor catabolism. Together, these results suggest that high-density, rapidly internalizing antigens subject high-affinity antibodies to greater internalization and degradation, thereby limiting their penetration of tumors. In contrast, lower affinity antibodies penetrate tumors more effectively when rates of antibody-antigen dissociation are higher than rates of antigen internalization. Together, our findings offer insights into how to optimize the ability of therapeutic antibodies to penetrate tumors.
Introduction
Tumor-targeting specificity of monoclonal antibodies (MAb) requires the target antigen to be solely or primarily expressed on the tumor cells, while efficacy requires sufficient binding affinity of the MAb to mediate durable tumor retention. These principles have led to the commonly-held concept that MAb must have high affinity in order to be therapeutically relevant.
Weinstein's modeling of the micropharmacology of antibodies in solid tumors began to redirect the focus in antibody development away from generating antibodies with very high affinity. The “Binding Site Barrier” model predicted that diffusion of high affinity antibodies into tumors is limited because slow rates of dissociation decrease the local concentration of diffusible, free antibody (1, 2). The model predicts that, as the strength of the bond between the MAb and its target increases, the amount of MAb available to diffuse into tumor decreases, leading to a reduction in penetration into the tumor. This effect was hypothesized to be even more pronounced in tumor microenvironment where the lack of draining lymphatics hinders the diffusion of macromolecules (3). More recently, other models have predicted that antigen expression and internalization can have profound effects on MAb penetration in tumors due to internalization and catabolism (4, 5). Such predictions have been verified in vitro using tumor spheroid models (4).
Therapeutic antibodies exhibit limited tumor penetration and are often limited to perivascular spaces (6). Many studies have tested the predictions regarding affinity in models like those described above (for review, see (7)). We previously performed a comprehensive study that examined the role of affinity on in vivo tumor targeting using a panel of anti-HER2 affinity mutant single chain variable fragments (scFv) (8). In that study, all scFv were derived from a single clone, C6.5, with affinities for the same HER2 epitope ranging from 3.2×10−7M to 1.5×10−11M in approximately logarithmic steps (9, 10). Selective tumor targeting required at least 10−8 M affinity, but further stepwise increases in affinity did not appreciably improve quantitative tumor retention. Moreover, we found that changes in affinity are sufficient to limit both the total uptake and the distance an scFv can penetrate into a tumor (8).
While divalent binding of scFv dimers greatly increases tumor retention (11), no comprehensive study has been conducted to date that describes the relationship between IgG affinity, uptake, and penetration in vivo. In work presented here, we examine the in vivo tumor uptake and penetration of anti-HER2 IgG molecules derived from the C6.5 scFv series of affinity mutants (12). All of the C6.5 derived IgGs share the same Fc domains and target the same epitope on HER2, and only differ in single point mutations in the complementarity determing regions (CDR). Here we extend these studies by examining the impact of affinity on the in vivo tumor targeting properties of intact immunoglobulin molecules. We show that high affinity does not improve quantitative tumor targeting, but does promote antibody internalization and degradation, limiting the tumor penetration of antibodies from blood vessels.
Material and Methods
Antibodies Cell Lines and Radiolabeling
C6.5 IgG1 affinity variants were produced and characterized exactly as described previously (12). Trastuzumab (Herceptin) was obtained through the Fox Chase Cancer Center's pharmacy and diluted to 1mg/mL prior to use. Prior to radiolabeling of the C6.5 variants, storage buffer was exchanged to sterile PBS using 4mL 10000 MWCO Amicon centrifugal filters (Millipore). No buffer exchange was performed on trastuzumab. For radioiodination reactions, 1μCi 125I-Na (Perkin-Elmer) per microgram of IgG to be labeled was dissolved in 50μL 0.2M phosphate buffer (pH 7.6), applied to Pierce Pre-Coated Iodination Tubes (Thermo Scientific), and mixed at room temperature for 5min. The IgG was added to the iodination tube and mixed for 3min at RT. The labeling reaction was terminated by removal of protein from iodination tube followed by purification over a Sephadex G-50 spin column (Sigma) pre-equilibrated with PBS (pH 7.4). The SK-OV-3 cell line (ATCC HTB-77) was obtained from the ATCC and was passaged for fewer than 6 months. The ATCC has verified the identity of this cell line by methods including short tandem repeat (STR) profiling.
Prior to radiometal chelation, trace metal contaminants were removed from all buffers and water by passage over a 2.5×50cm column (Kontes) with Chelex 100 resin (Bio-Rad). All IgGs were exchanged into 500mM NaCl, 50mM carbonate buffer (pH 8.5) and conjugated with a 50 fold molar excess of CHXA-A′′-DTPA (Macrocyclics) for 18hr at RT in the dark. Excess chelator was removed by buffer exchange, four times, into 150mM acetate buffer (pH 5.3). With specific activity diluted to 20μCi/μL in 50mM HCl, 111InCl3 (Perkin-Elmer) was added to 500mM acetate buffer to yield 111InOAc in 150mM buffer. At a ratio of 1.2μCi/μg, IgG-DTPA conjugate was mixed with 111InOAc for 18hr at RT in the dark. Excess 111In was chelated with addition of 100mM EDTA (final concentration to 5mM to 10mM) and separated over Sephadex column as above.
Quality control of the radiolabeled antibodies was performed as previously described (8). Briefly, purity of all radiolabeled proteins was assessed using TEC-Control Chromatography Strips (Biodex). Immunoreactivity (IR) after labeling was verified by assaying 10ng labeled IgG against 3×106 SK-OV-3 cells and determining percent bound to cells and supernatant. The average %IR after radioiodination reactions from multiple studies was 52.9, 77.4, 57.3, 65.7, and 87.9% for G98A, C6.5, ML39, H3B1, and trastuzumab respectively. The average %IR after radioindium chelation from multiple studies was 56.1, 71.2, 62.3, 70.3, and 62.2% for G98A, C6.5, ML39, H3B1, and trastuzumab respectively.
Internalization Assays
SK-OV-3 cells were harvested in the logarithmic phase of growth and incubated with the 125I labeled IgGs at 450 ng per 5 × 105 cells on ice for 1 hour. Cells were washed twice with cold PBS containing 1% BSA, aliquoted to 18 tubes, and incubated at 37°C, 5% CO2. After 0, 1, 2, 4, 8, 24hr, the cultures were separated into catabolized, dissociated, cell surface bound and internalized fractions as described below. Cell suspensions were pelleted in a refrigerated centrifuge at 1500 rpm for 5 min. Supernatants were transferred to Microcon YM-30 centrifugal filter unit (Millipore), followed by centrifuge at 14000 rpm for 20 min. The supernatants, which passed through the filters, represented the catabolized fractions, while what remained in the filters comprised the dissociated fractions. Cell surface bound IgGs were eluted from cell pellets with freshly made stripping buffer (2M Urea, 50 mM Glycine, 150 mM NaCl, pH 2.4). The elution step was repeated three times to remove over 98% of cell surface antibodies. The cell pellets after elution contained the internalized fractions. All the fractions were assayed in a Packard E5002 gamma counter (Perkin-Elmer).
Biodistribution Studies
Antibody biodistribution studies were conducted as previously described (13). Four to six week old female scid mice were obtained from the Fox Chase Cancer Center animal facility. Tumors were implanted by s.c. injection of 2.5×106 SK-OV-3 cells into the abdomen of the mice. After 6–8 weeks, the tumors reached a size of ≥ 100mg. Mice to be used in 125I experiments were given Lugol's solution in their drinking water to prevent thyroid accumulation of radioiodine. The pool of unoccupied Fc receptors in scid mice was blocked by i.p. administration of 1mg murine IgG2a-κ (Sigma) in order to prevent altered pharmacokinetics. Biodistribution studies were initiated 48hr later with the i.v. injection of 20μg radiolabeled antibody. Within 5–10min, blood samples were taken and whole body counts were measured on a Captus 600 or Captus 3000 multichannel analyzer (Capintec) in order to determine the total injected dose. For analysis of the full C6.5 IgG affinity series, tumor, tissue and blood distribution was assessed at 24hr and 120hr. For C6.5 and trastuzumab time course experiments, these measurements were taken at 8, 24, 48, 72, and 120hr after injection. Cohorts of 5 mice were employed at each time point, and blood samples were taken immediately before euthanasia. Immediately after euthanasia, whole body counts were measured and tumors and normal organs were removed and weighed. The percent injected dose per gram (%ID/g) was determined as previously described (14) for each organ and blood sample after determining the cpm retained in the samples using a Packard E5002 gamma counter (Perkin-Elmer). All measurements were corrected for radioactive decay. Representative results from multiple studies are shown. Statistical significance was determined using an unpaired t test using GraphPad software.
Immunohistochemistry Penetration Studies
With the exception of Lugol's solution, mice and tumors were handled as described above. Antibodies were obtained and buffer exchanged to sterile PBS as described above. Consistent with previous models of tumor penetration (8), 500μg of each antibody was injected i.p. into cohorts of three mice 48hr after administration of the blocking IgG2a-κ. 120hr later, mice were euthanized and tumors removed and fixed in 10% formalin for 24–48hr. After embedding in paraffin blocks, sections were cut and mounted on slides for IHC. After depariffination and rehydration using standard methodologies, primary antibodies were applied. Human HER2 was detected using rabbit anti-human c-erbB-2 oncoprotein polyclonal antibody (A0485, Dako). Blood vessels were detected using rat antimouse CD31 (553370, BD Pharmigen) monoclonal antibody. The i.p. administered antibodies were detected in tumor sections with biotinylated goat anti-human IgG antibodies (Vector Labs). For double staining of CD31 and human IgG, the sections were treated with 0.06% Pronase E (Sigma) in 0.5M Tris buffer, pH 7.5 for 10 min at room temperature and then incubated with 3% H2O2 for 10 min to block endogenous peroxidase activity. Sections were blocked with normal rabbit serum. Tumor sections were incubated with rat anti-mouse CD31 (PECAM-1) monoclonal antibody at a 1:300 dilution overnight at 4°C. Negative controls were incubated with the rat serum IgG at the same protein concentration. All sections were washed in PBS containing 0.05% Tween-20, and then incubated with goat anti-rat IgG (BD, Pharmingen) at a 1:200 dilution for 30 min at room temperature. After washing, the sections were incubated in an avidin peroxidase reagent (SA-HRP 1:100 dilution Perkin Elmer) for 30 min. After washing, a Biotinyl-Tyramide enhancement kit (TSA™ Biotin Tyramide Reagent Pack, Perkin Elmer) was used according to the manufacturer's instructions. After washing, the sections were incubated in peroxidase substrate (DAB, Sigma) for 5 min. Next, we used biotinylated goat anti-human IgG, dilution 1:4000 overnight at 4°C followed by streptavidin peroxidase reagent (Bio Genix) that was developed with the Vector VIP substrate for peroxidase as per manufacturer's instructions (Vector Labs). This produces a purple immunostaining that contrasted with the brown stain of CD31 blood vessels. The average tumor penetration of the MAbs was quantified using de-identified samples by measuring the distance of anti-human IgG staining from blood vessels. For each MAb, four isolated blood vessels were randomly selected per slide on three different slides (two for ML39). The distance in microns the MAbs penetrated was measured twice for each vessel with each measurement taken on opposite sides, resulting in 8 measurements per slide. Statistical significance was determined using an unpaired t test using GraphPad software.
Results
High affinity IgG exhibits less tumor retention and accumulation than moderate affinity clones in vivo
In order to probe the relationship between IgG binding affinity and tumor retention, a panel of anti-HER2 IgG's derived from a series of C6.5 scFv affinity variants (9, 10) was utilized (Supplemental Table 1) At the amino acid sequence level, the series of IgGs derived from the C6.5 clone are identical except for point mutations in the CDR affecting affinity to HER2. Like their parental scFv clones, these IgGs all target the same epitope on HER2 with distinct logarithmic increases in monovalent binding affinity from 270nM to 0.56nM. With the exception of the lowest affinity IgG, only minor differences in the functional (bivalent) affinities of the IgGs were observed (12). This was likely due to the limitations of the assays available to accurately measure very high multivalent affinities. For the reason of clarity, our observations will be discussed predominantly in consideration of IgG monovalent binding affinity, however it should be noted that bivalent affinity is likely playing a significant role in our observations.
To determine tumor uptake, 20μg radioiodinated (125I) anti-HER2 IgGs were injected intravenously into scid mice with established subcutaneous SK-OV-3 human ovarian carcinoma tumor xenografts overexpressing HER2. For each MAb (G98A [270 nM], C6.5 [23 nM], ML39 [7.3 nM], and H3B1 [0.56 nM]) cohorts of five mice were euthanized after 24hr and 120hr, and the amount of radiolabeled antibody remaining in tumors, normal tissue, and circulation was determined. Multiple studies were conducted, and the results of a representative experiment are shown in Table 1 and Figure 1. While no consistent difference in accumulation in normal tissue or rates of systemic clearance was observed for the anti-HER2 affinity series (Table 1), it was repeatedly observed that the high affinity IgG H3B1 (0.56nM monovalent KD) had the significantly lower tumor accumulation at both 24hr (p=0.0476) and 120hr (p<0.0001) (Figure. 1, dark gray bars) compared with C6.5 IgG (Figure. 1, light gray bars). The low affinity and moderate affinity IgGs G98A and ML39 (270nM and 7.3nM monovalent KD respectively) had slightly lower accumulation in the tumor than C6.5, although these differences were not statistically significant (Figure. 1, black and white bars).
Table 1. Biodistribution of 125I labeled anti-HER2 antibodies.
G98A |
C6.5 |
ML39 |
H3B1 |
|||||
---|---|---|---|---|---|---|---|---|
24hr |
120hr |
24hr |
120hr |
24hr |
120hr |
24hr |
120hr |
|
Blood | 10.4 | 6.4 | 10.9 | 5.8 | 13.4 | 7.6 | 9.9 | 4.4 |
Tumor | 6.8 | 5.6 | 7.7 | 6.5 | 6.7 | 5.9 | 5.5 | 3.1 |
Liver | 3.3 | 2.1 | 4.0 | 2.3 | 4.1 | 2.5 | 3.6 | 1.7 |
Lung | 9.9 | 5.7 | 10.0 | 4.8 | 11.3 | 5.9 | 8.7 | 3.3 |
Spleen | 2.9 | 1.6 | 1.4a | 1.5 | 2.5 | 1.6 | 2.4 | 0.9 |
Kidney | 3.0 | 1.9 | 3.1 | 1.9 | 3.2 | 2.1 | 2.6 | 1.1 |
Heart | 5.2 | 3.7 | 5.5 | 2.9 | 5.5 | 3.3 | 4.5 | 2.0 |
Stomach | 1.5 | 1.2 | 1.6 | 1.2 | 1.8 | 1.1 | 1.3 | 0.7 |
Bone | 1.2 | 0.8 | 1.2 | 0.7 | 1.0 | 0.8 | 1.0 | 0.5 |
Intestine | 1.5 | 1.2 | 1.5 | 1.0 | 1.5 | 1.1 | 1.4 | 0.6 |
Muscle | 1.2 | 0.8 | 1.1 | 0.7 | 0.8 | 0.7 | 0.7 | 0.4 |
IgG binding affinity limits penetration into tumors in vivo
While the biodistribution study described above revealed varying tumor retention of antibodies based on antibody intrinsic affinity, it cannot address antibody localization within the tumors. Therefore to investigate the relationship between the distance an antibody penetrates into the tumor from a blood vessel and affinity, we administered a 500μg intraperitoneal dose of the each unlabeled affinity variant and trastuzumab to scid mice bearing established SK-OV-3 tumors. After 120hr, tumors were harvested and stained for human HER2, tumor vasculature (CD31), and human IgG to determine antibody penetration as a function of affinity (Figure. 2). IHC revealed no significant differences in tumor structure (Figure. 2A) or in the relative expression of hHER2 on the surface of the tumor cells (Figure. 2B). Dual staining (Figure. 2C–H) for the blood vessels (CD31, brown) and for human IgG (purple) revealed significant differences in the penetration of the antibodies from blood vessels into the tumor with an apparent threshold occurring between 23nM and 7.3nM monovalent affinity. G98A, the MAb with the lowest monovalent affinity (270nM), exhibited the greatest average penetration distance from the blood vessels (84.8 microns). C6.5, the MAb with a moderate monovalent affinity (23nM), penetrated to an average distance of 59.7 microns. Further increases in monovalent affinity (e.g., ML39, 7.3nM; H3B1, 0.56nM; and trastuzumab, 0.09nM) were associated with significantly decreased tumor penetration (23.3, 20.4 and 37.2 microns, respectively) (p<0.0001 for C6.5 IgG vs all other antibodies). This observed degree of tumor penetration is within the predicted range modeled by others (based upon published data sets from a number of groups) of approximately 20 and 130 microns when a 500μg dose is governed by antigen turnover and systemic clearance respectively (5).
Affinity and the rate of antigen internalization dictate the sub-cellular distribution of anti-HER2 IgGs
Antigen-mediated internalization of antibodies has been shown to lead to their degradation in a variety of models in vitro (4, 15, 16) and in vivo (17). Furthermore, HER2 is a dynamic antigen whose internalization varies with receptor states such as hetero/homo-dimerization, and ligand binding (18), but is not affected by binding of trastuzumab (19). Therefore, in order to investigate the impact of antibody affinity on sub-cellular distribution, an internalization assay was conducted with 125I labeled IgGs as previously described (19). For the C6.5 variants and trastuzumab, 450ng 125I labeled IgG was incubated with 5×105 SK-OV-3 cells and the degree of catabolism, dissociation, retention on the cell surface, and retention inside of cells was determined after 0, 1, 2, 4, 8, and 24hr.
With the exception of the lowest affinity antibody, G98A, 60% to 70% of each IgG remained on the cell surface within the first four hours of the assay (Figure. 3A). After 24hrs, however, more C6.5 and ML39 remained on the surface of the cells than was observed with the highest affinity variants, H3B1 and B1D2, and trastuzumab. More than 80% of G98A dissociated in 4hrs (Figure. 3B), explaining why so little was observed on the cell surface. In contrast, C6.5 dissociated slower than G98A and the highest affinity variants and trastuzumab (Figure. 3B) exhibited the least dissociation. Very little of any of the IgGs remained intact inside the cells despite their large differences in affinity (Figure. 3C). Due to pronounced dissociation from the cells, very little G98A was degraded (Figure. 3D). The degradation of the other tested IgGs increased over time. Since the monovalent dissociation rate constant (koff) for the IgGs has not been measured, catabolism after 24hr was correlated with the koff rate of the parental scFv molecules. For G98A, C6.5, and ML39 with scFv-based off rates faster than 7×10−4s−1 (10), catabolism increased with affinity (decreased off rate) (Figure. 3E). For MAbs with slower rates of dissociation, H3B1, B1D2, and trastuzumab (20), catabolism and degradation was no longer impacted by further decreases to the offrate.
Reported HER2 internalization rates (ke) range from 1.6×10−3s−1 to 1.6×10−4s−1 (18), and are represented in Figure 3 by the shaded region. This suggests that the rate of HER2 internalization serves as an affinity threshold in determining the fate of these antibodies. Degradation increases with affinity as long as the koff is faster than ke, despite the ability of the antibodies to bind bivalently. Furthermore, internalization is independent of affinity and becomes totally antigen dependent when koff is slower than ke, and these interactions, as with many other antibodies, can be considered irreversible as suggested previously by others (15, 16).
Pharmacokinetic analysis reveals that tumors consume significant amounts of antibody in vivo
Of the antibodies that showed significant retention on the surface of SK-OV-3 cells, C6.5 IgG exhibited the least degradation, while trastuzumab exhibited the highest level. We hypothesized that this would lead to distinct rates of uptake and clearance stemming from the more rapid turnover of trastuzumab relative to C6.5. To address this hypothesis, two biodistribution experiments were conducted to compare the systemic and tumor pharmacokinetics of C6.5 and trastuzumab. These experiments were designed to exploit the metabolic differences between 125I and 111In radiolabels in order to determine the relative impacts of internalization and degradation. Once internalized, radio-iodotyrosine metabolites from 125I-labeled MAbs are rapidly eliminated by cells, while radio-indium metabolites from 111In-labeled MAbs residualize and accumulate in cells following their degradation (21–23). Therefore the 125I radiolabel is representative of intact surface bound and unbound antibodies in the tumor microenvironment, and the 111In radiolabel is indicative of both intact and the accumulated degraded antibody.
In Figure 4, the %ID/g in blood (empty symbols with gray lines) and in tumor (filled symbols with black lines) is presented for 125I (triangles) and 111In (circles) labeled C6.5 IgG (A) and trastuzumab (B). For both C6.5 and trastuzumab, the rate of clearance from circulation was independent of the radiolabel employed. Tumor accumulation of the radioiodinated antibodies peaked at 48hr and 24hr for C6.5 and trastuzumab, respectively. After 24hr, 125I-trastuzumab levels in the tumor decreased at the same rate as the antibody from circulation. In contrast, 125I-C6.5 %ID/g in the tumor persisted at the same level between 48hr and 72hr despite much lower blood concentrations. Therefore, relative to trastuzumab, 125I-C6.5 clearance from the tumor was delayed, even following first-pass clearance of both proteins. In contrast with the 125I tumor retention profiles, between 48hr and 120hr, both antibodies possessed much higher 111In tumor retention. Thus, both antibodies undergo in vivo internalization and degradation. Because of the increased rate of 125I-trastuzumab clearance relative to C6.5, and the large difference between 125I-trastuzumab (intact) and 111In-trastuzumab (intact and degraded) accumulation in the tumor over time, we conclude that, consistent with the in vitro data (Figure 3), trastuzumab is internalized and degraded in vivo by tumors more than C6.5
Total amount of antibody delivered to tumor in vivo is independent of affinity
Based on the observations of the in vitro internalization assays and the PK study above, the higher affinity clones should be degraded to a higher extent than lower affinity clones in vivo. To test this hypothesis, an 111In biodistribution study was performed for the anti-HER2 affinity series (Figure. 5) to compare with the 125I results presented in Figure 1.
For all IgGs, samples were collected 24hr and 120hr post-injection of 20 μg 111In labeled protein. While no differences were observed in systemic clearance or normal tissue distribution for the affinity variants (Table 2), the %ID/g of all the tested antibodies in the tumor increased over time. . Accordingly, factors such as extravasation from blood vessels were apparently unaffected by affinity. For the three IgGs with monovalent KD below 10−8M, the accumulation of the 111In-labeled forms in tumor, comprising both intact and degraded IgG, was identical, while 111In-G98A tumor accumulation was significantly lower (P<0.05 for all three IgGs at 120hr). In contrast with these results, affinity higher than that of C6.5 IgG leads to the tumor retention of less intact radioiodinated antibody due to in vivo internalization and degradation, illustrating the magnitude of escalating MAb degradation by the tumors as affinity increases from C6.5 to H3B1.
Table 2. Biodistribution of 111In labeled anti-HER2 antibodies.
G98A |
C6.5 |
ML39 |
H3B1 |
|||||
---|---|---|---|---|---|---|---|---|
24hr |
120hr |
24hr |
120hr |
24hr |
120hr |
24hr |
120hr |
|
Blood | 16.8 | 9.1 | 15.8 | 8.3 | 22.2 | 15.5 | 18.1 | 9.0 |
Tumor | 16.6 | 21.3 | 23.6 | 31.3 | 22.6 | 32.1 | 23.7 | 32.0 |
Liver | 6.3 | 4.9 | 5.8 | 3.4 | 8.3 | 6.7 | 6.8 | 6.2 |
Lung | 11.1 | 7.4 | 14.6 | 8.4 | 17.6 | 12.9 | 15.9 | 6.3 |
Spleen | 6.9 | 7.2 | 7.0 | 5.7 | 8.2 | 8.2 | 6.3 | 6.0 |
Kidney | 5.7 | 5.2 | 5.4 | 3.9 | 6.8 | 4.8 | 6.1 | 4.0 |
Heart | 7.9 | 5.7 | 8.0 | 4.9 | 7.8 | 4.3 | 7.5 | 3.6 |
Stomach | 2.6 | 1.8 | 2.7 | 1.6 | 2.8 | 2.0 | 2.4 | 1.7 |
Bone | 2.0 | 1.8 | 2.1 | 1.6 | 3.1 | 1.8 | 2.6 | 1.9 |
Intestine | 2.1 | 2.0 | 2.7 | 1.7 | 2.8 | 2.6 | 2.8 | 2.1 |
Muscle | 1.8 | 1.5 | 1.6 | 1.2 | 1.5 | 0.9 | 1.3 | 1.2 |
Discussion
To the best of our knowledge, this is the first thorough examination of the effects of affinity on in vivo tumor targeting of intact IgG molecules. In the studies described above, we have determined that the intrinsic affinity of intact IgG molecules is a critical determinant is the accumulation and penetration into solid tumors in vivo. Working with a series of IgG molecules spanning a wide range of intrinsic affinity for the same target epitope, we found that as the affinity of the antibody for its target antigen increased, the distribution became more perivascular in nature. Furthermore, as the higher affinity antibodies exhibited a greater degree of internalization and catabolism in both our in vitro and in vivo studies, we postulate that the limited penetration of the higher affinity antibodies was due to their more efficient catabolism and degradation by the perivascular tumor cells. Antibodies that exhibit efficient penetration into solid tumors would likely target a greater proportion of the tumor, potentially exhibiting improved therapeutic efficacy. Accordingly, the data presented here provide a context for understanding how to design antibodies for specific applications that require either perivascular targeting or thorough tumor penetration.
The role of affinity in tumor targeting with antibody-based molecules has been the subject of significant study and interest. However, until now, these studies have been performed with antibodies that target different epitope on the tumor antigen (24) or with antibody fragments or targeting molecules based on alternate scaffolds (8, 25, 26). These studies offered important insights into the impact of affinity. For example, we observed that scFv with high affinities exhibit distinct perivascular accumulation while low affinity scFv demonstrate a broad, almost homogenous, distribution throughout the vascularized regions of the tumor (8). However, this prior work did not provide direct evidence for the role of affinity in tumor targeting by intact IgG molecules. Targeting different epitopes with different affinity IgGs could bias the outcome of the studies by altering biological processes such as the rates of internalization and recycling. The use of fragments such as scFv molecules or alternate scaffolds such as affibodies or darpins would be subject to different rates of systemic elimination due to differences in size, lack of interaction with the immunoglobulin salvage receptor FcRn and varied sites of catabolism. The studies described in this paper were specifically designed to definitively test the impact of intrinsic affinity for a targeted tumor antigen on the ability of IgG molecules to target tumors in the in vivo setting. By using a panel of antibodies that exhibited specificity for identical epitopes of HER2 ECD, and were nearly identical in their sequences and structure we were able to isolate and assess the influence of affinity.
In the current study, analyzing the behavior of bivalent IgG's offered both familiar and new insights into how antibodies target and distribute throughout tumors. First, we observed that, using the same in vivo model as was used for scFv studies described above, increasing affinity again did not enhance tumor uptake. In fact, 125I-labeled H3B1, the highest affinity IgG that was tested, had less tumor accumulation than the other affinity variants, and this difference grew between 24hr and 120hr (Figure 1). Next, as with the scFv in previous studies, it was observed that high affinity IgG have less penetration than do their lower affinity counterparts. Interestingly, there seems to be a threshold between the C6.5 (intrinsic affinity = 23nM) and ML39 (intrinsic affinity = 7.3nM) IgGs in our model that distinguishes more tumor-penetrative from the more perivascularly-retained MAbs (Figure 2). This observation clearly implies the existence of a binding site barrier in this system, but does not explain the mechanistic basis for the observation.
To address this issue, in vitro internalization assays were performed (Figure 3). These studies demonstrated that G98A, and to a lesser extent C6.5, dissociate from the surface of the cells more completely than their higher affinity counterparts. This likely explains why these antibodies distributed more widely throughout the tumors as assessed by IHC. In contrast, ML39, H3B1 and trastuzumab were extensively degraded in vitro by tumor cells and exhibited limited in vivo tumor penetration. Furthermore, these higher affinity antibodies possessed rates of monovalent dissociation that were slower than the reported internalization rate of HER2 (Figure. 3E) While the binding of antibodies to shed antigen within the tumor interstitial space has been shown to block the function of the antibodies in some tumors (27), the differences we observed in the tumor uptake of the antibodies labeled with residualizing and non-residualizing radioisotopes suggests that this was not a defining limitation in the current study. These findings suggest that irreversible binding of antigen due to internalization and degradation by tumor cells contributes to the “binding site barrier” that limits penetration into the tumor.
Antibody internalization and degradation led to the impressive in vivo consumption of MAb by tumors (Figure 4). We found that trastuzumab was more efficiently degraded than C6.5, even though the two antibodies have similar measured functional affinities (12). While the antibodies bind to distinct HER2 epitopes, they also differ in intrinsic binding site affinity by 255-fold, either property may be responsible for trastuzumab's more complete internalization and degradation. These observations, coupled with trastuzumab's limited perivascular tumor penetration, are consistent with models illustrated by others (see Figure 2 in (16)). However, there is a lag in the tumor clearance of C6.5 after MAb levels decrease in circulation (Figure. 4). We speculate that this could be due to the rapid rate of C6.5 dissociation relative to the rate of HER2 internalization by the targeted tumor cells. As shown in Figure 1, it is evident that as affinity increases, so does in vivo consumption of the antibody by the tumor. Future studies should consider the total exposure of a MAb to cancer cells as a true area under the (concentration vs time) curve for the tumor itself and not rely on a single time point.
While the ultimate correlation of affinity and penetration with efficacy requires additional studies, we have demonstrated a clear structure: function relationship between a MAb and its target wherein the antibody's intrinsic binding affinity has a tangible impact on distribution, and therefore in vivo exposure of tumor to drug. The ultimate applicability of these observations depends on numerous factors including the relationship of targeting to efficacy, the internalization rate of the targeted antigen, and the targeted antigen's expression density. Despite these caveats, the studies presented here describe principles that should be considered when designing MAb for imaging or therapeutic applications.
Supplementary Material
Acknowledgments
We thank Catherine Renner and Huafen Li of the Fox Chase Cancer Center (FCCC) Histopathology Core Facility, the members of the FCCC Laboratory Animal Facility and Kim Boland, Heidi Simmons, and R. Brian Freer of the FCCC Developmental Therapeutics Program for their excellent technical assistance. We also thank Dr. Matthew Robinson of FCCC for helpful discussions. This work was supported by NCI grants R01 CA118159 (GPA), R01 CA50633 (LMW), NIH T32 CA009035 (SIR), the Bernard A. & Rebecca S. Bernard Foundation and an appropriation from the Commonwealth of Pennsylvania.
References
- 1.Fujimori K, Covell DG, Fletcher JE, Weinstein JN. Modeling analysis of the global and microscopic distribution of immunoglobulin G, F(ab')2, and Fab in tumors. Cancer research. 1989;49:5656–63. [PubMed] [Google Scholar]
- 2.Fujimori K, Covell DG, Fletcher JE, Weinstein JN. A modeling analysis of monoclonal antibody percolation through tumors: a binding-site barrier. J Nucl Med. 1990;31:1191–8. [PubMed] [Google Scholar]
- 3.Jain RK. Physiological barriers to delivery of monoclonal antibodies and other macromolecules in tumors. Cancer research. 1990;50:814s–9s. [PubMed] [Google Scholar]
- 4.Ackerman ME, Pawlowski D, Wittrup KD. Effect of antigen turnover rate and expression level on antibody penetration into tumor spheroids. Molecular cancer therapeutics. 2008;7:2233–40. doi: 10.1158/1535-7163.MCT-08-0067. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Thurber GM, Zajic SC, Wittrup KD. Theoretic criteria for antibody penetration into solid tumors and micrometastases. J Nucl Med. 2007;48:995–9. doi: 10.2967/jnumed.106.037069. [DOI] [PubMed] [Google Scholar]
- 6.Baker JH, Lindquist KE, Huxham LA, Kyle AH, Sy JT, Minchinton AI. Direct visualization of heterogeneous extravascular distribution of trastuzumab in human epidermal growth factor receptor type 2 overexpressing xenografts. Clin Cancer Res. 2008;14:2171–9. doi: 10.1158/1078-0432.CCR-07-4465. [DOI] [PubMed] [Google Scholar]
- 7.Rudnick SI, Adams GP. Affinity and Avidity in Antibody-Based Tumor Targeting. Cancer Biother Radiopharm. 2009;24:155–61. doi: 10.1089/cbr.2009.0627. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Adams GP, Schier R, McCall AM, et al. High affinity restricts the localization and tumor penetration of single-chain fv antibody molecules. Cancer research. 2001;61:4750–5. [PubMed] [Google Scholar]
- 9.Schier R, Bye J, Apell G, et al. Isolation of high-affinity monomeric human anti-c-erbB-2 single chain Fv using affinity-driven selection. J Mol Biol. 1996;255:28–43. doi: 10.1006/jmbi.1996.0004. [DOI] [PubMed] [Google Scholar]
- 10.Schier R, McCall A, Adams GP, et al. Isolation of picomolar affinity anti-cerbB-2 single-chain Fv by molecular evolution of the complementarity determining regions in the center of the antibody binding site. J Mol Biol. 1996;263:551–67. doi: 10.1006/jmbi.1996.0598. [DOI] [PubMed] [Google Scholar]
- 11.Adams GP, Tai MS, McCartney JE, et al. Avidity-mediated enhancement of in vivo tumor targeting by single-chain Fv dimers. Clin Cancer Res. 2006;12:1599–605. doi: 10.1158/1078-0432.CCR-05-2217. [DOI] [PubMed] [Google Scholar]
- 12.Tang Y, Lou J, Alpaugh RK, Robinson MK, Marks JD, Weiner LM. Regulation of antibody-dependent cellular cytotoxicity by IgG intrinsic and apparent affinity for target antigen. J Immunol. 2007;179:2815–23. doi: 10.4049/jimmunol.179.5.2815. [DOI] [PubMed] [Google Scholar]
- 13.Adams GP, Schier R, Marshall K, et al. Increased affinity leads to improved selective tumor delivery of single-chain Fv antibodies. Cancer research. 1998;58:485–90. [PubMed] [Google Scholar]
- 14.Adams GP, Denardo SJ, Amin A, et al. COMPARISON OF THE PHARMACOKINETICS IN MICE AND THE BIOLOGICAL-ACTIVITY OF MURINE L6 AND HUMAN-MOUSE CHIMERIC CH-L6 ANTIBODY. Antib Immunoconjug Radiopharm. 1992;5:81–95. [Google Scholar]
- 15.Kyriakos RJ, Shih LB, Ong GL, Patel K, Goldenberg DM, Mattes MJ. The fate of antibodies bound to the surface of tumor cells in vitro. Cancer research. 1992;52:835–42. [PubMed] [Google Scholar]
- 16.Thurber GM, Schmidt MM, Wittrup KD. Antibody tumor penetration: transport opposed by systemic and antigen-mediated clearance. Adv Drug Deliv Rev. 2008;60:1421–34. doi: 10.1016/j.addr.2008.04.012. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Lammerts van Bueren JJ, Bleeker WK, Bogh HO, et al. Effect of target dynamics on pharmacokinetics of a novel therapeutic antibody against the epidermal growth factor receptor: implications for the mechanisms of action. Cancer research. 2006;66:7630–8. doi: 10.1158/0008-5472.CAN-05-4010. [DOI] [PubMed] [Google Scholar]
- 18.Hendriks BS, Opresko LK, Wiley HS, Lauffenburger D. Quantitative analysis of HER2-mediated effects on HER2 and epidermal growth factor receptor endocytosis: distribution of homo- and heterodimers depends on relative HER2 levels. J Biol Chem. 2003;278:23343–51. doi: 10.1074/jbc.M300477200. [DOI] [PubMed] [Google Scholar]
- 19.Austin CD, De Maziere AM, Pisacane PI, et al. Endocytosis and sorting of ErbB2 and the site of action of cancer therapeutics trastuzumab and geldanamycin. Mol Biol Cell. 2004;15:5268–82. doi: 10.1091/mbc.E04-07-0591. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Kubetzko S, Balic E, Waibel R, Zangemeister-Wittke U, Pluckthun A. PEGylation and multimerization of the anti-p185HER-2 single chain Fv fragment 4D5: effects on tumor targeting. J Biol Chem. 2006;281:35186–201. doi: 10.1074/jbc.M604127200. [DOI] [PubMed] [Google Scholar]
- 21.Mattes MJ, Griffiths GL, Diril H, Goldenberg DM, Ong GL, Shih LB. PROCESSING OF ANTIBODY-RADIOISOTOPE CONJUGATES AFTER BINDING TO THE SURFACE OF TUMOR-CELLS. Cancer. 1994;73:787–93. doi: 10.1002/1097-0142(19940201)73:3+<787::aid-cncr2820731307>3.0.co;2-5. [DOI] [PubMed] [Google Scholar]
- 22.Press OW, Shan D, HowellClark J, et al. Comparative metabolism and retention of iodine-125, yttrium-90, and indium-111 radioimmunoconjugates by cancer cells. Cancer research. 1996;56:2123–9. [PubMed] [Google Scholar]
- 23.Shih LB, Thorpe SR, Griffiths GL, et al. THE PROCESSING AND FATE OF ANTIBODIES AND THEIR RADIOLABELS BOUND TO THE SURFACE OF TUMOR-CELLS IN-VITRO - A COMPARISON OF 9 RADIOLABELS. J Nucl Med. 1994;35:899–908. [PubMed] [Google Scholar]
- 24.Langmuir VK, Mendonca HL, Woo DV. Comparisons between two monoclonal antibodies that bind to the same antigen but have differing affinities: uptake kinetics and 125I-antibody therapy efficacy in multicell spheroids. Cancer research. 1992;52:4728–34. [PubMed] [Google Scholar]
- 25.Zahnd C, Kawe M, Stumpp MT, et al. Efficient tumor targeting with high-affinity designed ankyrin repeat proteins: effects of affinity and molecular size. Cancer research. 2010;70:1595–605. doi: 10.1158/0008-5472.CAN-09-2724. [DOI] [PubMed] [Google Scholar]
- 26.Friedman M, Stahl S. Engineered affinity proteins for tumour-targeting applications. Biotechnol Appl Biochem. 2009;53:1–29. doi: 10.1042/BA20080287. [DOI] [PubMed] [Google Scholar]
- 27.Zhang Y, Pastan I. High shed antigen levels within tumors: an additional barrier to immunoconjugate therapy. Clin Cancer Res. 2008;14:7981–6. doi: 10.1158/1078-0432.CCR-08-0324. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Kelley RF, O'Connell MP, Carter P, et al. Antigen binding thermodynamics and antiproliferative effects of chimeric and humanized anti-p185HER2 antibody Fab fragments. Biochemistry. 1992;31:5434–41. doi: 10.1021/bi00139a003. [DOI] [PubMed] [Google Scholar]
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