Slow-clearing, tumor-targeting proteins such as monoclonal antibodies typically exhibit high tumor accumulation but low tissue contrast, whereas intermediate-sized proteins such as scFvs show faster clearance but only moderate tumor accumulation. For both, tumor targeting does not seem to improve further above an optimal affinity. We show here that with very small high-affinity proteins such as designed ankyrin repeat proteins (DARPins), these limits can be overcome. We have systematically investigated the influence of molecular mass and affinity on tumor accumulation with DARPins with specificity for HER2 in SK-OV-3.ip nude mouse xenografts. DARPins with a mass of 14.5 kDa and affinities between 270 nmol/L and 90 pmol/L showed a strong correlation of tumor accumulation with affinity to HER2, with the highest affinity DARPin reaching 8% ID/g after 24 hours and 6.5% ID/g after 48 hours (tumor-to-blood ratio >60). Tumor autoradiographs showed good penetration throughout the tumor mass. Genetic fusion of two DARPins (30 kDa) resulted in significantly lower tumor accumulation, similar to values observed for scFvs, whereas valency had no influence on accumulation. PEGylation of the DARPins increased the circulation half-life, leading to higher tumor accumulation (13.4% ID/g after 24 hours) but lower tumor-to-blood ratios. Affinity was less important for tumor uptake of the PEGylated constructs. We conclude that two regimes exist for delivering high levels of drug to a tumor: small proteins with very high affinity, such as unmodified DARPins, and large proteins with extended half-life, such as PEGylated DARPins, in which the importance of affinity is less pronounced. Cancer Res; 70(4); 1595–605

Therapeutic antibodies have been used in recent years for the targeting of solid tumors (13) to overcome the lack of specificity of classic anticancer drugs. Even though human antibodies are now available through a variety of technologies (4), the clinical efficacy of even some marketed antitumor antibodies is limited (5, 6), suggesting that additional effector mechanisms will be needed (1, 7). This argues for the construction of novel robust targeting molecules which can be engineered for enhanced efficacy, e.g., by facile linkage to additional effector molecules. For any effector function that could exert toxicity on normal cells, high tumor localization of the targeting molecule and sufficiently rapid elimination from healthy tissue is pivotal.

Tumor targeting proteins seem to be caught between two constraints. Slow-clearing, tumor-targeting proteins such as monoclonal antibodies with long half-lives typically exhibit high tumor accumulation but low tissue contrast (8). Intermediate-sized proteins such as scFvs show faster clearance but only moderate tumor accumulation (9, 10). It has been suggested that very high affinities might not be beneficial for increased targeting in either case (11, 12).

We show here that with very small high-affinity proteins such as designed ankyrin repeat proteins (DARPins), these limits can be overcome, and we present a systematic approach that establishes the observed tumor accumulation and targeting contrast as a function of affinity, targeting molecule size, and pharmacokinetics.

HER2-overexpressing breast tumors are well studied and thus represent a suitable reference point for evaluating alternative binding molecules in tumor localization studies. The overexpression of HER2 is correlated with an aggressive tumor phenotype (13) and it occurs in a broad range of human cancers, notably breast and ovarian cancers (14, 15). HER2 is a 185 kDa transmembrane glycoprotein receptor tyrosine kinase of the family of human epidermal growth factor receptors (HER; refs. 16, 17). It plays a key role in HER ligand–dependent tumor growth and could form different types of heterodimers with other family members, notably HER3 (16, 18).

Recently, we have developed combinatorial libraries of a new class of small proteins, termed “designed ankyrin repeat proteins” (19, 20) that can act as an alternative to antibodies, as they are particularly robust to engineering. They are based on a very different structure (Supplementary Fig. S1) and are built from consecutive 33-amino acid repeats, each forming a β-turn followed by two antiparallel α-helices. In each repeat, seven residues were randomized, and these internal repeats are flanked by constant capping repeats, to give one contiguous polypeptide chain with a randomized binding surface. The proteins contain no cysteine, can be expressed in soluble form in the cytoplasm of Escherichia coli at very high levels, and are very stable and resistant to aggregation (ref. 21 and references therein). By attaching a polyethylene glycol (PEG) molecule (22), the hydrodynamic radius of DARPins can be optionally increased dramatically, thus altering the pharmacokinetic profile of the DARPin to a longer half-life. DARPins can also easily be engineered in the form of homodimers and heterodimers, trimers, or even higher multimers (Supplementary Fig. S1), as well as in the form of other fusion proteins, all in soluble form and with the same high yield from E. coli.4

4Kawe et al., unpublished experiments.

High-affinity binders against a wide variety of targets and in particular HER2-specific DARPins have previously been selected from our DARPin libraries both by ribosome and phage display (2325). From this latter work, we have isolated point mutants of a specific anti-HER2 DARPin (molecular weight, 14.5 kDa) showing affinities between 90 pmol/L and 270 nmol/L. Here, we use these DARPins in tumor-targeting experiments, showing that unmodified high-affinity DARPins, having a very fast clearance, reach high values of tumor accumulation for an extended time with high tumor-to-blood ratios, paralleled by high tumor-to-tissue ratios (except in the liver and kidney, which are involved in excretion). Tumor accumulation correlates with the affinity of these DARPins, without reaching a plateau. With PEG-ylation of the DARPins, even higher tumor accumulation could be achieved, but the slower clearance reduces the tumor-to-blood ratio, and the importance of affinity is significantly less pronounced.

We discuss these results in view of previous studies with antibody fragments of different formats, and also compare them with DARPin constructs engineered to a similar size as scFv fragments.

Protein expression and purification

All details are described in the Supplementary Methods and Figs. S2 to S4. Briefly, all DARPin constructs were expressed in E. coli XL1-Blue and purified essentially as previously described (24). For PEGylation of the DARPins, a cysteine was introduced at the penultimate position and the protein was allowed to react with maleimide-PEG of 20, 40, or 60 kDa. The scFv fragment 4D5 was expressed and purified in E. coli SB536 as previously described (26). HER2 (first 631 amino acids of the mature protein) was kindly provided by Dr. Tim Adams and coworkers (CSIRO, Melbourne, Australia).

His-tag–specific 99mTc-labeling of the DARPins

The radioactive labeling of the DARPins with 99mTc(CO)3 at the His-tag was performed essentially as previously described (ref. 27; Supplementary Methods).

Tumor cell lines

For all biodistribution studies, the human ovarian carcinoma cell line SK-OV-3.ip was used (kindly provided by Ellen Vitetta, University of Texas, Dallas, TX). For some cell binding experiments and control biodistribution studies, SK-OV-3 (HTB-77; European Collection of Animal Cell Cultures, Salisbury, United Kingdom) and BT474-cells (HTB-20) were also used where indicated.

Affinity-determination of DARPins on human BT474 tumor cells

DARPin-superfolder-GFP fusions were constructed and binding to cells was measured by fluorescence-activated cell sorting by following the on-rate and the off-rate and calculating KD as their ratio (Supplementary Figs. S5-S6). To minimize internalization, cells were preincubated with 0.2% NaN3 for 30 min at 37°C. To minimize rebinding during the dissociation phase, a large excess (50 nmol/L) of unlabeled DARPin G3 was added as competitor.

Biodistribution studies of DARPins

Female CD1-FOXn1/nu mice (Charles River), 6 to 8 wk old, were engrafted with human SK-OV-3.ip tumor cells subcutaneously injected at the lateral flanks (106 cells, mixed with BD Matrigel Matrix HC; BD Biosciences). The studies were started 2 to 3 wk after tumor inoculation, when the tumors had reached a size of 50 to 300 mg. Each mouse received a single dose of 8 to 10 μg of 99mTc(CO)3-labeled DARPin variant (37 MBq/mouse) intravenously, administered in 100 μL. Mice (n = 3 per time point and construct) were sacrificed after 1, 4, 24, 48, and 72 h after injection, organs were removed and the accumulated radioactivity was measured in a gamma-scintillation counter (Supplementary Methods).

Tumor autoradiography

Twenty-four hours after 10 μg (37 MBq) of the 99mTc(CO)3-labeled DARPin variant injection, the SK-OV-3.ip tumors (0.5 cm diameter) were cut into three layers (rim, middle section, rim). The slices were put on a Kodak X-Omat Blue film for 4 h and also analyzed with a Packard InstantImager.

Single photon emission computed tomography imaging studies

Single photon emission computed tomography (SPECT) imaging experiments were performed with an X-SPECT system (Gamma Medica, Inc.) with a single head SPECT device and a computed tomography (CT) device, 24 h after injection of the 99mTc(CO)3-labeled DARPin. The DARPin (370–555 MBq/200 μL = 10–15 mCi/200 μL) was administered via a lateral tail vein (further details in the Supplementary Methods).

For high-resolution images, tumors were scanned with a pinhole collimator (tungsten-based collimator, 1 mm diameter). The SPECT field of view was reduced to 30 × 30 mm and the acquisition time was increased to 4 h.

Constructs and labeling

In this study, we investigated how efficiently DARPins could be enriched at a tumor site, and determined their biodistribution as a function of affinity and hydrodynamic size. We used a previously described DARPin specific for HER2, i.e., H10-2-G3 (24), or G3 in short. It has a molecular weight of 14.5 kDa and consists of an NH2-terminal capping repeat, two internal repeats carrying the binding residues, and a COOH-terminal capping repeat (Supplementary Fig. S1). Being derived from an affinity maturation experiment, we could construct the presumed progenitor and its evolutionary intermediates. We therefore had at our disposal DARPins binding to the same epitope on HER2, with affinities ranging from 90 pmol/L to 270 nmol/L. They are named by indicating the amino acid(s) exchanged in G3 (ref. 24; Supplementary Fig. S1).

We expressed these DARPins in E. coli and purified them as described (19, 20). They were monomeric on gel filtration (Supplementary Fig. S2) and were labeled with 99mTc(CO)3 on the NH2-terminal His-tag (27).

The proteins were also derivatized with PEG of different sizes (20–60 kDa) at a unique engineered COOH-terminal cysteine (Supplementary Figs. S3-S4). The PEG20-containing proteins eluted at an apparent molecular weight of >300 kDa, consistent with the well-known effect of PEG20 of greatly increasing the hydrodynamic radius (26, 28). PEGylation had previously been shown to have no effect on the off-rate and only a small effect on the on-rate (28). These PEGylated proteins were 99mTc-labeled in the same way (27).

For a direct comparison to single-chain Fv fragments, we created DARPins with similar molecular weight as scFvs (∼25 kDa): the DARPin G3 was linked via a flexible linker to a nonbinding DARPin, E2_5 (20), or alternatively, to another DARPin G3 to create a bivalent DARPin (Supplementary Fig. S1). These constructs, denoted G3-E2_5 and G3-G3, were expressed, purified, and 99mTc-labeled as described above.

The stability of the DARPins was tested in PBS and serum. Even after 4 weeks at 37°C, no aggregation, degradation or loss of binding was detected (Supplementary Figs. S7-S10).

Affinities on cells

Previously reported affinities had been measured on purified HER2 by surface plasmon resonance (24). Because the epitope recognized by G3 is on domain-4, proximal to the membrane (17), and because the measured affinity of the monovalent trastuzumab scFv or Fab fragment (also binding to domain-4) is significantly different between purified HER2 and whole cells (2830), we measured the affinity of the DARPins to whole cells (Supplementary Figs. S5-S6).

We used the mean fluorescence intensity of DARPin-GFP fusions measured by fluorescence-activated cell sorting to determine both on- and off-rates on BT474-cells (Supplementary Figs. S5-S6) under conditions in which receptor internalization is minimized, and from this, we calculated the functional affinity. This approach can be used over a wide range of affinities and allows accurate comparisons even though an effect of GFP cannot strictly be excluded.

The values obtained very closely match those determined with the pure HER2 by surface plasmon resonance (Table 1), with only G3-D showing an ∼3-fold slower off-rate on cells. Because the on-rates of the G3 mutants on cells are very similar to each other, affinities on cells are directly determined by off-rates on cells.

Table 1.

Affinities and kinetic parameters of anti-HER2 DARPins investigated

DARPin*BT474 cellsBIACORE
kon/105 (mol/L)−1 s−1koff/10−3 s−1KD/(nmol/L)kon/105 (mol/L)−1 s−1koff/10−3 s−1KD/(nmol/L)
G3 10.3 ± 2.76 0.069 ± 0.02 0.070 ± 0.018 11.2 ± 0.02 0.102 ± 0.001 0.091 ± 0.001 
G3-D 7.51 ± 0.57 0.22 ± 0.02 0.29 ± 0.3 7.68 ± 0.04 1.14 ± 0.002 1.48 ± 0.008 
G3-AVD 3.96 ± 2.1 3.3 ± 1.5 10.2 ± 5.9 4.35 ± 0.02 4.42 ± 0.008 10.2 ± 0.055 
G3-HAVD nd nd nd 0.028 ± 0.01 0.739 ± 0.003 269 ± 1.19 
G3-G3 10.0 ± 3.55 0.01 0.011 ± 0.004 2.8 ± 0.2 <0.001§ <0.01§ 
DARPin*BT474 cellsBIACORE
kon/105 (mol/L)−1 s−1koff/10−3 s−1KD/(nmol/L)kon/105 (mol/L)−1 s−1koff/10−3 s−1KD/(nmol/L)
G3 10.3 ± 2.76 0.069 ± 0.02 0.070 ± 0.018 11.2 ± 0.02 0.102 ± 0.001 0.091 ± 0.001 
G3-D 7.51 ± 0.57 0.22 ± 0.02 0.29 ± 0.3 7.68 ± 0.04 1.14 ± 0.002 1.48 ± 0.008 
G3-AVD 3.96 ± 2.1 3.3 ± 1.5 10.2 ± 5.9 4.35 ± 0.02 4.42 ± 0.008 10.2 ± 0.055 
G3-HAVD nd nd nd 0.028 ± 0.01 0.739 ± 0.003 269 ± 1.19 
G3-G3 10.0 ± 3.55 0.01 0.011 ± 0.004 2.8 ± 0.2 <0.001§ <0.01§ 

Abbreviation: nd, not determined.

*DARPins with mutations affecting the affinity and bivalent DARPin (see text).

Association and dissociation kinetics were determined on BT474 cells by following the mean fluorescence intensity with fluorescence-activated cell sorting as a function of time, as shown in Supplementary Fig. S5. This table summarizes the data extracted from Supplementary Fig. S5. The error on cell binding rates reflects the differences between independent experiments, whereas the error on off-rates is the statistical error on fitting.

For comparison, the data previously obtained by surface plasmon resonance are shown as well (17). The error shown for the surface plasmon resonance measurements only reflects the statistical error upon data fitting.

§For bivalent binding, avidities are not constants but depend on coating density. Measurements by C. Gehringer and H.K. Binz (unpublished data).

The best binder, G3, has an affinity of ∼60 to 100 pmol/L also on cells. The epitope on domain-4 of HER2, recognized by the G3-derived DARPins, may thus be better accessible than the one recognized by trastuzumab.

The bivalent DARPin G3-G3 shows a similar on-rate as the monovalent DARPins, but its off-rate is too small to be measured (<1 × 10−6 s−1; Supplementary Fig. S5), which directly shows bivalent binding on cells. As a control, we also measured G3-E2_5 (data not shown), and its dissociation rate matches that of G3, as expected from its single HER2-binding site.

Blood clearance in healthy BALB/c mice

For the unmodified DARPin G3, at 7.5 minutes, 90% of the radioactivity had already disappeared from the blood (Fig. 1A), suggesting a half-life of <3 minutes in which both tissue distribution and clearance through the kidney occurs. There may be an additional slow phase with only 5% amplitude and a half-life of 80 to 90 minutes (Fig. 1A). The bivalent DARPins are cleared almost as rapidly as well (Fig. 1A), suggesting, to a large extent, first-pass clearance for these small DARPins.

Figure 1.

Clearance of different DARPin formats from serum in BALB/c mice not bearing a tumor. Samples of 99mTc(CO)3-labeled proteins were injected i.v. A, monovalent DARPin G3 and bivalent DARPin G3-G3; B, G3 DARPin derivatized with different PEG molecules.

Figure 1.

Clearance of different DARPin formats from serum in BALB/c mice not bearing a tumor. Samples of 99mTc(CO)3-labeled proteins were injected i.v. A, monovalent DARPin G3 and bivalent DARPin G3-G3; B, G3 DARPin derivatized with different PEG molecules.

Close modal

The serum clearance of PEGylated DARPins shows two slow phases. The initial phase (∼1 day) might suggest a tissue distribution phase, before the even slower terminal plasma elimination (Fig. 1B; Supplementary Tables ST4 and ST5). The slowest phase correlates with the size of the PEG molecule (PEG20, ∼19 hours; PEG40 and PEG60, ∼50 hours). Therefore, as with many other PEGylated proteins, the terminal half-life is mostly determined by the hydrodynamics of the PEG molecule, preventing glomerular filtration and reducing the apparent volume of distribution at early times (see Discussion).

Tumor localization of unmodified DARPins

The targeting properties of the various constructs were examined in nude mice xenografted with human ovarian carcinoma SK-OV-3.ip cells, subcutaneously injected at the lateral flanks. Control experiments showed no significant differences with SK-OV-3 tumors (Supplementary Table ST1).

We first compared the biodistribution of 14.5 kDa DARPins after 1, 4, 24, and 48 hours (Fig. 2A, Table 2). Their half-life was very short, consistent with the measurements in BALB/c mice with shorter time points (Fig. 1A). Nonetheless, high tumor localization values were observed, ∼8% ID/g for the construct with the highest affinity after 4 hours. Even after 48 hours, this value was still ∼6.5% ID/g.

Figure 2.

Time-dependent changes in organ distribution of DARPins of different affinity (see Table 1) without (A) and with (B) derivatization with PEG20. The mean % ID/g tissue (±SD) at each time point are given for tumor and blood (for detailed data, see Table 2). Samples of 99mTc(CO)3-labeled proteins were injected i.v. into nude mice bearing SK-OV-3.ip carcinoma xenografts. Mice (n = 3 per time point) were sacrificed at the times indicated after injection, organs were excised, and the incorporated radioactivity was determined. C, different DARPin formats and controls after 24 h (additional time course and organ distribution data in Supplementary Tables ST1 and ST2). G3-G3, bivalent HER2-binding DARPin; G3-E2_5, HER2-binding DARPin fused to a nonselected DARPin without affinity for HER2; E3_5, nonselected DARPin without affinity for HER2; 4D5 scFv, anti-HER2 single-chain Fv fragment; G3, monovalent HER2-binding DARPin (Table 1).

Figure 2.

Time-dependent changes in organ distribution of DARPins of different affinity (see Table 1) without (A) and with (B) derivatization with PEG20. The mean % ID/g tissue (±SD) at each time point are given for tumor and blood (for detailed data, see Table 2). Samples of 99mTc(CO)3-labeled proteins were injected i.v. into nude mice bearing SK-OV-3.ip carcinoma xenografts. Mice (n = 3 per time point) were sacrificed at the times indicated after injection, organs were excised, and the incorporated radioactivity was determined. C, different DARPin formats and controls after 24 h (additional time course and organ distribution data in Supplementary Tables ST1 and ST2). G3-G3, bivalent HER2-binding DARPin; G3-E2_5, HER2-binding DARPin fused to a nonselected DARPin without affinity for HER2; E3_5, nonselected DARPin without affinity for HER2; 4D5 scFv, anti-HER2 single-chain Fv fragment; G3, monovalent HER2-binding DARPin (Table 1).

Close modal
Table 2.

Tissue distributions of DARPins in SK-OV-3.ip tumor bearing mice

Unmodified DARPinsPEG20 modified DARPins
Organ1 h4 h24 h48 hOrgan1 h4 h24 h48 h
G3 G3-PEG20 
    Blood 0.72 ± 0.05 0.30 ± 0.06 0.13 ± 0.02 0.09 ± 0.02     Blood 25.41 ± 3.94 13.45 ± 2.83 2.83 ± 0.96 0.87 ± 0.13 
    Heart 0.90 ± 0.03 0.51 ± 0.10 0.32 ± 0.04 0.27 ± 0.05     Heart 8.70 ± 2.22 4.93 ± 1.32 1.43 ± 0.50 0.88 ± 0.15 
    Lung 1.79 ± 0.14 0.70 ± 0.12 0.38 ± 0.06 0.34 ± 0.09     Lung 10.98 ± 2.56 6.55 ± 2.03 1.92 ± 0.60 0.96 ± 0.25 
    Spleen 2.05 ± 0.19 1.79 ± 0.61 0.96 ± 0.21 0.98 ± 0.18     Spleen 5.50 ± 1.69 3.47 ± 0.85 2.61 ± 1.05 1.91 ± 0.88 
    Kidney 267.75 ± 29.44 239.49 ± 32.85 145.65 ± 19.49 110.66 ± 31.84     Kidney 24.08 ± 3.72 34.59 ± 7.48 36.78 ± 13.90 28.75 ± 9.68 
    Stomach 1.33 ± 0.10 0.62 ± 0.17 0.59 ± 0.30 0.34 ± 0.11     Stomach 2.72 ± 0.73 2.18 ± 0.61 0.95 ± 0.30 0.57 ± 0.21 
    Colon 0.85 ± 0.25 0.45 ± 0.10 0.43 ± 0.16 0.24 ± 0.05     Colon 3.42 ± 0.56 2.06 ± 0.42 0.87 ± 0.20 0.48 ± 0.24 
    Liver 7.96 ± 0.55 7.27 ± 1.04 4.61 ± 0.59 3.78 ± 0.91     Liver 9.82 ± 1.97 8.97 ± 2.42 7.14 ± 2.26 5.17 ± 1.71 
    Muscle 0.48 ± 0.06 0.27 ± 0.03 0.17 ± 0.03 0.15 ± 0.03     Muscle 0.97 ± 0.14 0.98 ± 0.13 0.63 ± 0.14 0.44 ± 0.07 
    Bone 1.61 ± 0.22 1.11 ± 0.05 0.81 ± 0.15 0.79 ± 0.21     Bone 2.71 ± 0.89 1.88 ± 0.42 1.02 ± 0.27 0.71 ± 0.19 
    Tumor 9.12 ± 1.77 8.04 ± 2.85 8.06 ± 2.38 6.46 ± 0.96     Tumor 3.90 ± 1.14 7.70 ± 2.93 13.42 ± 4.29 9.37 ± 2.44 
    T:B 12.67 ± 3.34 26.80 ± 14.86 62.00 ± 27.85 71.78 ± 26.62     T:B 0.15 ± 0.07 0.57 ± 0.34 4.73 ± 3.12 10.77 ± 4.37 
G3-D G3-D-PEG20 
    Blood 0.67 ± 0.10 0.34 ± 0.11 0.13 ± 0.04 0.06 ± 0.01     Blood 24.24 ± 4.27 12.90 ± 1.61 2.89 ± 0.50 1.14 ± 0.37 
    Heart 0.58 ± 0.09 0.41 ± 0.14 0.20 ± 0.02 0.14 ± 0.02     Heart 7.55 ± 1.80 4.68 ± 0.34 1.79 ± 0.28 1.01 ± 0.26 
    Lung 1.12 ± 0.33 0.53 ± 0.13 0.14 ± 0.20 0.20 ± 0.06     Lung 12.00 ± 2.43 6.60 ± 0.54 1.88 ± 0.36 1.07 ± 0.30 
    Spleen 1.10 ± 0.11 0.88 ± 0.05 0.56 ± 0.06 0.35 ± 0.11     Spleen 5.23 ± 1.41 4.47 ± 0.79 2.73 ± 0.74 2.78 ± 0.62 
    Kidney 195.00 ± 10.49 155.99 ± 37.08 91.82 ± 6.05 66.09 ± 9.28     Kidney 20.34 ± 44.11 29.85 ± 23.18 46.42 ± 5.34 33.75 ± 0.25 
    Stomach 0.85 ± 0.28 0.41 ± 0.03 0.15 ± 0.12 0.20 ± 0.08     Stomach 3.05 ± 1.75 2.29 ± 0.08 0.74 ± 0.06 0.41 ± 0.23 
    Colon 0.52 ± 0.06 0.45 ± 0.09 0.22 ± 0.06 0.13 ± 0.02     Colon 3.12 ± 1.51 1.98 ± 0.16 0.84 ± 0.16 0.63 ± 0.12 
    Liver 4.74 ± 0.88 4.45 ± 1.18 2.45 ± 0.31 1.76 ± 0.23     Liver 11.60 ± 2.29 10.05 ± 1.17 7.38 ± 1.95 6.82 ± 0.20 
    Muscle 0.32 ± 0.02 0.22 ± 0.06 0.11 ± 0.02 0.07 ± 0.01     Muscle 0.88 ± 0.06 0.91 ± 0.08 0.57 ± 0.11 0.53 ± 0.11 
    Bone 0.94 ± 0.01 0.54 ± 0.01 0.29 ± 0.08 0.36 ± 0.02     Bone 2.43 ± 0.44 1.67 ± 0.13 0.96 ± 0.29 0.98 ± 0.32 
    Tumor 7.65 ± 0.97 4.61 ± 2.17 3.73 ± 1.13 3.05 ± 1.20     Tumor 4.09 ± 1.13 6.39 ± 0.61 8.59 ± 1.61 12.85 ± 4.03 
    T:B 11.42 ± 3.15 13.56 ± 10.77 28.69 ± 17.52 50.83 ± 28.47     T:B 0.17 ± 0.08 0.50 ± 0.11 2.97 ± 1.07 11.30 ± 7.27 
G3-AVD G3-AVD-PEG20 
    Blood 0.57 ± 0.00 0.25 ± 0.03 0.10 ± 0.01 0.06 ± 0.01     Blood  14.31 ± 1.87 3.75 ± 0.87 0.93 ± 0.35 
    Heart 0.60 ± 0.05 0.40 ± 0.07 0.23 ± 0.02 0.18 ± 0.03     Heart  6.14 ± 0.23 2.25 ± 0.72 0.89 ± 0.21 
    Lung 0.87 ± 0.08 0.37 ± 0.31 0.31 ± 0.04 0.19 ± 0.04     Lung  7.21 ± 1.08 2.63 ± 0.62 0.99 ± 0.30 
    Spleen 1.64 ± 0.13 1.40 ± 0.26 0.87 ± 0.05 0.87 ± 0.13     Spleen  4.68 ± 1.25 4.92 ± 1.69 2.88 ± 1.03 
    Kidney 195.57 ± 7.85 163.00 ± 27.65 89.35 ± 12.12 58.22 ± 10.53     Kidney  46.26 ± 7.33 74.08 ± 9.46 40.42 ± 4.92 
    Stomach 0.89 ± 0.27 0.55 ± 0.18 0.23 ± 0.01 0.15 ± 0.06     Stomach  2.58 ± 0.67 1.07 ± 0.39 0.64 ± 0.07 
    Colon 0.59 ± 0.06 0.50 ± 0.16 0.28 ± 0.03 0.15 ± 0.02     Colon  2.13 ± 0.04 1.29 ± 0.25 0.56 ± 0.06 
    Liver 6.84 ± 0.80 6.13 ± 1.13 3.65 ± 0.84 2.22 ± 0.08     Liver  12.92 ± 2.14 11.68 ± 1.31 8.13 ± 1.97 
    Muscle 0.33 ± 0.03 0.24 ± 0.02 0.13 ± 0.02 0.09 ± 0.08     Muscle  0.96 ± 0.14 0.80 ± 0.28 0.41 ± 0.13 
    Bone 0.99 ± 0.12 0.76 ± 0.16 0.46 ± 0.02 0.39 ± 0.08     Bone  2.22 ± 0.33 1.82 ± 0.39 1.19 ± 0.60 
    Tumor 4.90 ± 1.37 4.26 ± 0.63 2.41 ± 0.17 1.38 ± 0.21     Tumor  5.66 ± 0.85 9.15 ± 2.73 7.51 ± 2.32 
    T:B 8.60 ± 2.45 17.04 ± 4.56 24.10 ± 4.11 23.00 ± 7.33     T:B  0.40 ± 0.11 2.44 ± 1.30 8.07 ± 5.51 
G3-HAVD G3-HAVD-PEG20 
    Blood 0.89 ± 0.16 0.43 ± 0.04 0.15 ± 0.03 0.09 ± 0.10     Blood 24.60 ± 4.35 10.19 ± 1.66 3.02 ± 0.31 0.75 ± 0.10 
    Heart 0.95 ± 0.16 0.59 ± 0.07 0.32 ± 0.06 0.22 ± 0.04     Heart 7.57 ± 1.92 3.06 ± 0.60 1.59 ± 0.09 0.75 ± 0.09 
    Lung 1.30 ± 0.10 0.81 ± 0.23 0.35 ± 0.03 0.25 ± 0.02     Lung 10.89 ± 1.77 4.56 ± 0.63 2.14 ± 0.06 0.82 ± 0.08 
    Spleen 1.90 ± 0.16 1.57 ± 0.13 0.95 ± 0.28 0.83 ± 0.12     Spleen 6.01 ± 1.07 2.54 ± 0.31 3.46 ± 0.39 2.57 ± 0.04 
    Kidney 203.38 ± 34.96 162.01 ± 21.66 93.48 ± 13.81 69.26 ± 15.93     Kidney 16.04 ± 2.78 11.62 ± 1.64 18.93 ± 2.90 13.07 ± 1.20 
    Stomach 0.92 ± 0.09 0.71 ± 0.09 0.28 ± 0.27 0.17 ± 0.06     Stomach 2.88 ± 0.58 1.47 ± 0.25 1.03 ± 0.38 0.60 ± 0.06 
    Colon 0.81 ± 0.11 0.66 ± 0.02 0.32 ± 0.02 0.15 ± 0.01     Colon 3.18 ± 0.67 1.56 ± 0.01 1.03 ± 0.09 0.46 ± 0.03 
    Liver 8.68 ± 0.91 7.05 ± 0.67 3.93 ± 1.09 2.98 ± 0.50     Liver 9.46 ± 1.79 6.01 ± 0.94 7.28 ± 1.38 4.67 ± 0.18 
    Muscle 0.44 ± 0.06 0.28 ± 0.06 0.17 ± 0.02 0.10 ± 0.01     Muscle 0.84 ± 0.18 0.56 ± 0.16 0.66 ± 0.33 0.38 ± 0.02 
    Bone 1.44 ± 0.37 0.96 ± 0.11 0.64 ± 0.09 0.50 ± 0.03     Bone 2.80 ± 0.41 1.46 ± 0.10 1.21 ± 0.32 0.71 ± 0.09 
    Tumor 1.52 ± 0.24 1.07 ± 0.15 0.57 ± 0.08 0.36 ± 0.06     Tumor 2.01 ± 0.21 2.21 ± 0.43 3.01 ± 0.32 2.39 ± 0.38 
    T:B 1.71 ± 0.58 2.49 ± 0.58 3.80 ± 1.29 4.00 ± 4.89     T:B 0.08 ± 0.02 0.22 ± 0.08 1.00 ± 0.21 3.19 ± 0.91 
Unmodified DARPinsPEG20 modified DARPins
Organ1 h4 h24 h48 hOrgan1 h4 h24 h48 h
G3 G3-PEG20 
    Blood 0.72 ± 0.05 0.30 ± 0.06 0.13 ± 0.02 0.09 ± 0.02     Blood 25.41 ± 3.94 13.45 ± 2.83 2.83 ± 0.96 0.87 ± 0.13 
    Heart 0.90 ± 0.03 0.51 ± 0.10 0.32 ± 0.04 0.27 ± 0.05     Heart 8.70 ± 2.22 4.93 ± 1.32 1.43 ± 0.50 0.88 ± 0.15 
    Lung 1.79 ± 0.14 0.70 ± 0.12 0.38 ± 0.06 0.34 ± 0.09     Lung 10.98 ± 2.56 6.55 ± 2.03 1.92 ± 0.60 0.96 ± 0.25 
    Spleen 2.05 ± 0.19 1.79 ± 0.61 0.96 ± 0.21 0.98 ± 0.18     Spleen 5.50 ± 1.69 3.47 ± 0.85 2.61 ± 1.05 1.91 ± 0.88 
    Kidney 267.75 ± 29.44 239.49 ± 32.85 145.65 ± 19.49 110.66 ± 31.84     Kidney 24.08 ± 3.72 34.59 ± 7.48 36.78 ± 13.90 28.75 ± 9.68 
    Stomach 1.33 ± 0.10 0.62 ± 0.17 0.59 ± 0.30 0.34 ± 0.11     Stomach 2.72 ± 0.73 2.18 ± 0.61 0.95 ± 0.30 0.57 ± 0.21 
    Colon 0.85 ± 0.25 0.45 ± 0.10 0.43 ± 0.16 0.24 ± 0.05     Colon 3.42 ± 0.56 2.06 ± 0.42 0.87 ± 0.20 0.48 ± 0.24 
    Liver 7.96 ± 0.55 7.27 ± 1.04 4.61 ± 0.59 3.78 ± 0.91     Liver 9.82 ± 1.97 8.97 ± 2.42 7.14 ± 2.26 5.17 ± 1.71 
    Muscle 0.48 ± 0.06 0.27 ± 0.03 0.17 ± 0.03 0.15 ± 0.03     Muscle 0.97 ± 0.14 0.98 ± 0.13 0.63 ± 0.14 0.44 ± 0.07 
    Bone 1.61 ± 0.22 1.11 ± 0.05 0.81 ± 0.15 0.79 ± 0.21     Bone 2.71 ± 0.89 1.88 ± 0.42 1.02 ± 0.27 0.71 ± 0.19 
    Tumor 9.12 ± 1.77 8.04 ± 2.85 8.06 ± 2.38 6.46 ± 0.96     Tumor 3.90 ± 1.14 7.70 ± 2.93 13.42 ± 4.29 9.37 ± 2.44 
    T:B 12.67 ± 3.34 26.80 ± 14.86 62.00 ± 27.85 71.78 ± 26.62     T:B 0.15 ± 0.07 0.57 ± 0.34 4.73 ± 3.12 10.77 ± 4.37 
G3-D G3-D-PEG20 
    Blood 0.67 ± 0.10 0.34 ± 0.11 0.13 ± 0.04 0.06 ± 0.01     Blood 24.24 ± 4.27 12.90 ± 1.61 2.89 ± 0.50 1.14 ± 0.37 
    Heart 0.58 ± 0.09 0.41 ± 0.14 0.20 ± 0.02 0.14 ± 0.02     Heart 7.55 ± 1.80 4.68 ± 0.34 1.79 ± 0.28 1.01 ± 0.26 
    Lung 1.12 ± 0.33 0.53 ± 0.13 0.14 ± 0.20 0.20 ± 0.06     Lung 12.00 ± 2.43 6.60 ± 0.54 1.88 ± 0.36 1.07 ± 0.30 
    Spleen 1.10 ± 0.11 0.88 ± 0.05 0.56 ± 0.06 0.35 ± 0.11     Spleen 5.23 ± 1.41 4.47 ± 0.79 2.73 ± 0.74 2.78 ± 0.62 
    Kidney 195.00 ± 10.49 155.99 ± 37.08 91.82 ± 6.05 66.09 ± 9.28     Kidney 20.34 ± 44.11 29.85 ± 23.18 46.42 ± 5.34 33.75 ± 0.25 
    Stomach 0.85 ± 0.28 0.41 ± 0.03 0.15 ± 0.12 0.20 ± 0.08     Stomach 3.05 ± 1.75 2.29 ± 0.08 0.74 ± 0.06 0.41 ± 0.23 
    Colon 0.52 ± 0.06 0.45 ± 0.09 0.22 ± 0.06 0.13 ± 0.02     Colon 3.12 ± 1.51 1.98 ± 0.16 0.84 ± 0.16 0.63 ± 0.12 
    Liver 4.74 ± 0.88 4.45 ± 1.18 2.45 ± 0.31 1.76 ± 0.23     Liver 11.60 ± 2.29 10.05 ± 1.17 7.38 ± 1.95 6.82 ± 0.20 
    Muscle 0.32 ± 0.02 0.22 ± 0.06 0.11 ± 0.02 0.07 ± 0.01     Muscle 0.88 ± 0.06 0.91 ± 0.08 0.57 ± 0.11 0.53 ± 0.11 
    Bone 0.94 ± 0.01 0.54 ± 0.01 0.29 ± 0.08 0.36 ± 0.02     Bone 2.43 ± 0.44 1.67 ± 0.13 0.96 ± 0.29 0.98 ± 0.32 
    Tumor 7.65 ± 0.97 4.61 ± 2.17 3.73 ± 1.13 3.05 ± 1.20     Tumor 4.09 ± 1.13 6.39 ± 0.61 8.59 ± 1.61 12.85 ± 4.03 
    T:B 11.42 ± 3.15 13.56 ± 10.77 28.69 ± 17.52 50.83 ± 28.47     T:B 0.17 ± 0.08 0.50 ± 0.11 2.97 ± 1.07 11.30 ± 7.27 
G3-AVD G3-AVD-PEG20 
    Blood 0.57 ± 0.00 0.25 ± 0.03 0.10 ± 0.01 0.06 ± 0.01     Blood  14.31 ± 1.87 3.75 ± 0.87 0.93 ± 0.35 
    Heart 0.60 ± 0.05 0.40 ± 0.07 0.23 ± 0.02 0.18 ± 0.03     Heart  6.14 ± 0.23 2.25 ± 0.72 0.89 ± 0.21 
    Lung 0.87 ± 0.08 0.37 ± 0.31 0.31 ± 0.04 0.19 ± 0.04     Lung  7.21 ± 1.08 2.63 ± 0.62 0.99 ± 0.30 
    Spleen 1.64 ± 0.13 1.40 ± 0.26 0.87 ± 0.05 0.87 ± 0.13     Spleen  4.68 ± 1.25 4.92 ± 1.69 2.88 ± 1.03 
    Kidney 195.57 ± 7.85 163.00 ± 27.65 89.35 ± 12.12 58.22 ± 10.53     Kidney  46.26 ± 7.33 74.08 ± 9.46 40.42 ± 4.92 
    Stomach 0.89 ± 0.27 0.55 ± 0.18 0.23 ± 0.01 0.15 ± 0.06     Stomach  2.58 ± 0.67 1.07 ± 0.39 0.64 ± 0.07 
    Colon 0.59 ± 0.06 0.50 ± 0.16 0.28 ± 0.03 0.15 ± 0.02     Colon  2.13 ± 0.04 1.29 ± 0.25 0.56 ± 0.06 
    Liver 6.84 ± 0.80 6.13 ± 1.13 3.65 ± 0.84 2.22 ± 0.08     Liver  12.92 ± 2.14 11.68 ± 1.31 8.13 ± 1.97 
    Muscle 0.33 ± 0.03 0.24 ± 0.02 0.13 ± 0.02 0.09 ± 0.08     Muscle  0.96 ± 0.14 0.80 ± 0.28 0.41 ± 0.13 
    Bone 0.99 ± 0.12 0.76 ± 0.16 0.46 ± 0.02 0.39 ± 0.08     Bone  2.22 ± 0.33 1.82 ± 0.39 1.19 ± 0.60 
    Tumor 4.90 ± 1.37 4.26 ± 0.63 2.41 ± 0.17 1.38 ± 0.21     Tumor  5.66 ± 0.85 9.15 ± 2.73 7.51 ± 2.32 
    T:B 8.60 ± 2.45 17.04 ± 4.56 24.10 ± 4.11 23.00 ± 7.33     T:B  0.40 ± 0.11 2.44 ± 1.30 8.07 ± 5.51 
G3-HAVD G3-HAVD-PEG20 
    Blood 0.89 ± 0.16 0.43 ± 0.04 0.15 ± 0.03 0.09 ± 0.10     Blood 24.60 ± 4.35 10.19 ± 1.66 3.02 ± 0.31 0.75 ± 0.10 
    Heart 0.95 ± 0.16 0.59 ± 0.07 0.32 ± 0.06 0.22 ± 0.04     Heart 7.57 ± 1.92 3.06 ± 0.60 1.59 ± 0.09 0.75 ± 0.09 
    Lung 1.30 ± 0.10 0.81 ± 0.23 0.35 ± 0.03 0.25 ± 0.02     Lung 10.89 ± 1.77 4.56 ± 0.63 2.14 ± 0.06 0.82 ± 0.08 
    Spleen 1.90 ± 0.16 1.57 ± 0.13 0.95 ± 0.28 0.83 ± 0.12     Spleen 6.01 ± 1.07 2.54 ± 0.31 3.46 ± 0.39 2.57 ± 0.04 
    Kidney 203.38 ± 34.96 162.01 ± 21.66 93.48 ± 13.81 69.26 ± 15.93     Kidney 16.04 ± 2.78 11.62 ± 1.64 18.93 ± 2.90 13.07 ± 1.20 
    Stomach 0.92 ± 0.09 0.71 ± 0.09 0.28 ± 0.27 0.17 ± 0.06     Stomach 2.88 ± 0.58 1.47 ± 0.25 1.03 ± 0.38 0.60 ± 0.06 
    Colon 0.81 ± 0.11 0.66 ± 0.02 0.32 ± 0.02 0.15 ± 0.01     Colon 3.18 ± 0.67 1.56 ± 0.01 1.03 ± 0.09 0.46 ± 0.03 
    Liver 8.68 ± 0.91 7.05 ± 0.67 3.93 ± 1.09 2.98 ± 0.50     Liver 9.46 ± 1.79 6.01 ± 0.94 7.28 ± 1.38 4.67 ± 0.18 
    Muscle 0.44 ± 0.06 0.28 ± 0.06 0.17 ± 0.02 0.10 ± 0.01     Muscle 0.84 ± 0.18 0.56 ± 0.16 0.66 ± 0.33 0.38 ± 0.02 
    Bone 1.44 ± 0.37 0.96 ± 0.11 0.64 ± 0.09 0.50 ± 0.03     Bone 2.80 ± 0.41 1.46 ± 0.10 1.21 ± 0.32 0.71 ± 0.09 
    Tumor 1.52 ± 0.24 1.07 ± 0.15 0.57 ± 0.08 0.36 ± 0.06     Tumor 2.01 ± 0.21 2.21 ± 0.43 3.01 ± 0.32 2.39 ± 0.38 
    T:B 1.71 ± 0.58 2.49 ± 0.58 3.80 ± 1.29 4.00 ± 4.89     T:B 0.08 ± 0.02 0.22 ± 0.08 1.00 ± 0.21 3.19 ± 0.91 

NOTE: Biodistributions of unmodified and PEGylated DARPins and with different affinity were analyzed in nude mice, xenografted with human ovarian carcinoma SK-OV-3.ip tumors. Mice (n = 3 per time point) were sacrificed and organs excised at the times indicated after injection of the 99mTc(CO)3-labeled constructs. Data are given as the percentage of injected dose per gram of tissue (% ID/g) and expressed as the mean ± SD.

Because of the very low blood levels even after only 4 hours, very high tumor-to-blood values were reached (30 after 4 hours, >60 at 24 hours and beyond). The tissue distribution of the unmodified DARPin G3 was measured in eight different experimental series, all falling within 1 SD from the mean (Fig. 2A).

For the other unmodified DARPins with lower affinity (Table 1), tumor accumulation was lower, and proportional to affinity (Fig. 2A; Table 2). There was no indication of a leveling-off at high affinity, an effect which has been observed with bigger targeting reagents (refs. 11, 12; see Discussion).

The control DARPin E3_5 (20) with no affinity to HER2 was also tested (Fig. 2C; Supplementary Table ST1), and after 24 hours, only 0.46% ID/g was located at the tumor, showing that localization depends on specific binding to HER2.

Tumor localization of DARPin-linker-DARPin constructs

Both the bivalent G3-G3 construct, and a monovalent G3-E2_5 construct, in which the second DARPin had no affinity with HER2, were investigated. In both cases, the amount observed at the tumor was lower than for the monovalent G3 (Fig. 2C; time course in Supplementary Table ST2). Because G3-G3 and G3-E2_5 show essentially the same tumor uptake (Supplementary Table ST2), the higher avidity of G3-G3 seems to neither contribute to additional tumor retention nor could an additional barrier effect explain the lower tumor accumulation. Instead, we propose this lower accumulation to be an effect of the higher molecular weight (see Discussion).

Tumor localization of PEGylated DARPins

Cys-containing derivatives were made, giving equally high yields in production as their parent molecules, and coupling of PEG20 was almost quantitative. Tumor accumulation for G3-PEG20 after 24 hours reaches 13.4% ID/g (Fig. 2B; Table 2; Supplementary Table ST3) and shows much slower tumor accumulation. Tumor values stay very high throughout the experiment (Supplementary Tables ST3 and ST6). This slow accumulation suggests that the protein in the blood acts as a reservoir from which slow extravasation to the tumor occurs over a long duration. The slow off-rates from HER2 allow a slow but steady build-up.

The second difference to the non-PEGylated proteins is that tumor accumulation seems to depend less on affinity than for the non-PEGylated DARPins (Fig. 2B). Only the lowest-affinity binder (KD = 270 nmol/L) is just slightly above the background of a nonbinding control (see above), illustrating that tumor enrichment is dependent on specific binding to HER2. Due to the slower blood clearance, the tumor-to-blood ratios at early times are much smaller, and the highest values (∼20) are only reached after 72 hours (Supplementary Table ST6).

We also compared the tumor accumulation of DARPin G3, coupled to PEG20 and PEG60 (Supplementary Table ST3). The PEG60 construct seemed to be retained slightly more at the tumor site after 48 hours, suggesting a role of the serum reservoir in an extended tumor loading phase.

Organ distribution

The distribution to liver and kidney gives information about the preferred elimination pathway of the DARPins. As expected, the small DARPins are eliminated predominantly via the kidney. 99mTc(CO)3 is a residualizing labeling reagent which remains in the kidney cells following endocytosis (31, 32) due to the high stability of the 99mTc label at the His-tag of the proteins (27) and the inability of the cell to excrete this label. High kidney values are observed for all monovalent DARPins (Table 2), as for scFv fragments (27, 31, 32) and camel VHH domains (33). For the constructs with two linked DARPins, predominant elimination via the kidney is seen as well, but the values are somewhat lower and the liver values correspondingly slightly higher (Supplementary Table ST2), even though this is not reflected in a significantly longer serum half-life.

The PEGylated proteins gave rise to a much lower percentage of label found in the kidney (Table 2). As expected from similar studies with PEGylated antibody fragments (10, 26), PEGylated DARPins are thus eliminated to a greater extent via the liver.

Organ distribution in healthy BALB/c mice

After 24 hours, similar values for kidney accumulation and only low liver accumulation were found as in tumor-bearing nude mice (Supplementary Tables ST4–ST5). The same correspondence between BALB/c mice and tumor-bearing nude mice was found for the biodistribution of G3-PEG20 derivatives, showing that the nude mice phenotype has no influence on the biodistribution of DARPins.

Imaging the distribution of radioactivity within the tumor

We investigated the penetration of the highest affinity DARPin G3 by imaging slices of a SK-OV-3.ip tumor 24 hours after injection, using both X-ray film (Fig. 3A and B) and a Packard InstantImager (Fig. 3C and D). Clearly, the protein penetrates the whole tumor mass quite evenly, with a potentially slightly stronger staining near the rim of the tumor, which might have been expected for high-affinity molecules (see Discussion).

Figure 3.

Ex vivo autoradiogram of SK-OV-3.ip tumor slices imaged with 99mTc(CO)3-labeled DARPin G3, 24 h after i.v. injection. The slices were put on Kodak X-Omat Blue film and exposed for 4 h (A, rim; B, middle section). The radioactivity was also recorded with a Packard InstantImager (C, rim; D, middle section).

Figure 3.

Ex vivo autoradiogram of SK-OV-3.ip tumor slices imaged with 99mTc(CO)3-labeled DARPin G3, 24 h after i.v. injection. The slices were put on Kodak X-Omat Blue film and exposed for 4 h (A, rim; B, middle section). The radioactivity was also recorded with a Packard InstantImager (C, rim; D, middle section).

Close modal

SPECT/CT imaging studies

A whole-body SPECT/CT of a mouse bearing tumors left and right of the shoulders was performed with 99mTc(CO)3-labeled G3 (Fig. 4A) 24 hours after i.v. injection and compared with a scan of a mouse injected with 99mTc(CO)3-labeled G3-PEG20 (Fig. 4B). For both DARPins, high accumulation of radioactivity was detected in tumors localized on both shoulders. Significantly less accumulation of radioactivity was found in the kidneys of the mouse injected with the PEGylated DARPin.

Figure 4.

Whole body SPECT/CT (low resolution, high sensitivity) scans after i.v. injection of labeled DARPins. A, coronal section of a mouse with two SK-OV-3.ip tumors on both shoulders injected with 99mTc(CO)3-labeled DARPin G3. Mouse A (G3; whole body activity of 18.5 MBq) was scanned after 22 h with an acquisition time of 32 min. B, mouse with two SK-OV-3.ip tumors on both shoulders injected with 99mTc(CO)3-labeled DARPin G3-PEG20. C, three-dimensional SPECT/CT (high resolution, low sensitivity, pinhole collimator) scan of a SK-OV-3.ip tumor located at the right hind leg 24 h after i.v. injection with 99mTc(CO)3-labeled DARPin G3 with an acquisition time of 4 h. In all experiments, the same dose of radioactivity was injected (555 MBq).

Figure 4.

Whole body SPECT/CT (low resolution, high sensitivity) scans after i.v. injection of labeled DARPins. A, coronal section of a mouse with two SK-OV-3.ip tumors on both shoulders injected with 99mTc(CO)3-labeled DARPin G3. Mouse A (G3; whole body activity of 18.5 MBq) was scanned after 22 h with an acquisition time of 32 min. B, mouse with two SK-OV-3.ip tumors on both shoulders injected with 99mTc(CO)3-labeled DARPin G3-PEG20. C, three-dimensional SPECT/CT (high resolution, low sensitivity, pinhole collimator) scan of a SK-OV-3.ip tumor located at the right hind leg 24 h after i.v. injection with 99mTc(CO)3-labeled DARPin G3 with an acquisition time of 4 h. In all experiments, the same dose of radioactivity was injected (555 MBq).

Close modal

A high-resolution SPECT/CT image (Fig. 4C) of a SK-OV-3.ip tumor on the right hind leg, 24 hours after targeting with DARPin G3, showed accumulation of the radioactivity in the tumor with some preferential detection at the rim. Because the field of view in this study is reduced to 30 × 30 mm, the nonspecific accumulation in nontargeted organs such as the kidney is not visible.

The four goals of this study were to (a) quantitatively test the ability of DARPins to target to tumors in mice, (b) examine the optimal DARPin tumor targeting format, (c) evaluate the dependence of targeting on DARPin affinity, and (d) examine the relationship between size, valency, and affinities for the most effective tumor targeting, and to derive general principles for targeting molecules by comparing the results with other reports on targeting HER2.

We will argue in the following that the favorable uptake values of unmodified DARPins are a combination of high affinity and small size, which allows efficient extravasation and retention at the tumor. These targeting properties also capitalize on the lack of aggregation of DARPins (refs. 19, 21, 34; Supplementary Figs. S7–S10). Biophysical stability has been previously shown to directly improve tumor targeting (35).

Higher tumor accumulation values can be reached by IgGs by virtue of their FcRn-mediated long serum half-life (36), but with a correspondingly long tissue half-life and more limited tumor penetration.

Influence of affinities on unmodified DARPins

The total amount located at the tumor is directly proportional to affinity, and there is no leveling off with affinity (Fig. 2A). This was found over the whole time range measured. The serum half-life seems to be, as expected, comparable for the DARPin point mutants investigated, and thus these higher tumor enrichments also parallel higher tumor-to-blood ratios, proportional to affinity. Because the on-rates are very similar among the DARPins, both on cells and on pure proteins (Table 1; except for the binder with the lowest affinity; ref. 24), total build-up and retention at the tumor seems to be governed by the dissociation rates from the target.

DARPin constructs with additional domains

The bivalent molecule did not show improved targeting over the monomeric one, but instead lower accumulation, despite its extremely slow off-rate, in turn demonstrating that binding on cells is really bivalent. Tumor accumulation was equally low for a two-domain DARPin with only one functional site. This suggests that the lower accumulation was governed by molecular size, and not by a barrier effect of this high-avidity construct. For both DARPin-DARPin fusions (molecular weight, 30 kDa), tumor accumulations (<2% ID/g) were very similar to those of monovalent anti-HER2 scFv fragments (molecular weight 25 kDa) with affinities on cells of 1 to 320 nmol/L in similar SK-OV-3 models (9, 10, 26, 37, 38).

The influence of PEGylation

The depot function of the PEGylated molecules in serum, evidenced by their prolonged terminal half-life (∼19 hours), probably coupled with slow extravasation and diffusion, leads to a slower build-up on the tumor, and limits the achievable tumor-to-blood ratios.

The importance of affinity for the extent of tumor accumulation is diminished for the PEGylated constructs, compared with the underivatized constructs. Similarly, for whole antibodies, affinity did not seem to increase total tumor accumulation above a certain threshold affinity (11).

A pure physical effect has been proposed to contribute to the tumor uptake of large macromolecules and nanoparticles, termed enhanced permeability and retention (39, 40). However, because the PEGylated variant with KD = 270 nmol/L (Fig. 2B) showed almost no tumor accumulation, we can conclude that specific binding with reasonable affinity is essential and the enhanced permeability and retention effect is insignificant.

PEGylated monomeric and dimeric scFv constructs showed similar tumor accumulation (26) as PEGylated DARPins, and thus, it is largely determined by hydrodynamic properties of the PEG. However, because of their robustness and the unique cysteine, PEGylated DARPins are easier to prepare.

Comparison to antibody scFv fragments

We restrict our discussion to targeting studies of HER2 in SK-OV-3 tumors, and where the affinity on cells has been measured, because to pure antigen, it is potentially different (2830). With the scFv 4D5 (refs. 10, 26; KD = 9–29 nmol/L on cells), tumor accumulations of 1% to 1.77% ID/g were obtained after 24 hours. The scFv C6.5 (KD = 70 nmol/L on cells) was evolved to KD = 3.8 nmol/L, however, only marginally changing tumor accumulation from 1.32% to 1.42% ID/g (41), or from 0.80% to 1.48% ID/g (38). The nanomolar KD of these monovalent scFv on cells, compared with the picomolar DARPin, might contribute to the lower accumulation observed.

scFv fragments have been converted to bivalent and tetravalent miniantibodies by fusing self-assembling peptides to the COOH terminus (10, 26), but tumor accumulation was only moderately increased to 2.84% ID/g for the tetramer. A 135 kDa trivalent molecule, made via barnase-barstar fusions and being above the renal filtration threshold, showed a higher increase (7.04% ID/g; ref. 42) and a longer terminal half-life.

When the scFv fragment C6.5 and its high-affinity derivative were converted to diabodies (functional affinity on cells 3.4 and 0.49 nmol/L, respectively), 6.48% and 3.18% ID/g were reported. Note that the higher avidity molecule performed worse (41). The evolved monovalent C6.5 scFv (KD = 3.8 nmol/L on cells) only lead to 1.42% ID/g on the tumor. Size does not seem to be the crucial difference, however, because a monovalent scFv and the corresponding diabody with only one functional site showed the same tumor accumulation (37). A more efficient internalization of the particular bivalent diabody might lead to a better retention of label, even at a similar functional affinity.

In mice with kidneys removed (12, 38), tumor accumulation of all fragments was increased. In this artificial model, no further increase in tumor accumulation was found beyond a functional affinity of ∼10−9 mol/L, with even a drop for one data point at 10−11 mol/L. The high-affinity molecules predominantly localized at the periphery of the tumor, whereas the low-affinity molecules—at the same total dose—localized diffusely throughout the tumor.

This peripheral location is consistent with the “shrinking core model” (8, 43), in which antigens are occupied starting from the tumor outside and progressing to the inside. Every antigen encountered is occupied and remains so, if the off-rate is low, whereas the molecules dissociate and transiently rebind further inward (but also leave the tumor), if the off-rate is faster. This concept has been originally proposed for whole antibodies in similar form (11).

Taken together, these studies with scFv monomers and multimers have found increased tumor accumulation with increasing valency, and in some cases, functional affinity. The extent, however, varied significantly between constructs. Higher molecular weight is favorable only if it brings the molecule above the renal filtration threshold by increasing the terminal half-life. Nonetheless, the data have also suggested that an increase in functional affinity beyond a certain threshold is not useful for molecules the size of an scFv and its multimers. We show here that some of these limitations are not found for smaller high-affinity molecules such as DARPins.

Comparison to other scaffolds targeting HER2

Affibodies and other small scaffolds have also been selected to bind to HER2 (44), and one such molecule with KD = 50 nmol/L has been affinity-matured to 22 pmol/L (measured on purified HER2). To our knowledge, the affinity on whole cells has not been reported. The evolved affibody showed tumor uptakes reaching 8.6% ID/g after 24 hours (45).

The original monovalent affibody (KD = 50 nmol/L) was also made bivalent (functional affinity ∼3 nmol/L), but bivalent binding on cells was not tested. The tumor uptake was 2.6% ID/g after 12 hours (46), significantly less than for the evolved monomer, with the caveat that the labeling method was not always the same.

Tumor localization of single-domain antibodies directed against HER2 has not been reported. Two camel VHH domains, specific for epidermal growth factor receptor (KD = 2.3 and 5.7 nmol/L in vitro), were reported with tumor uptakes of 9.1% ID/g and 6.1% ID/g, measured 1.5 hours after injection (33).

Taken together, these results support our hypothesis that predicts favorable targeting properties for molecules which combine high affinity with small molecular size.

The importance of molecular weight

The molecular weight influences at least three parameters critical for targeting (a) capillary extravasation, (b) diffusion, and (c) renal clearance (8, 36).

There may be a rather steep dependence of tumor vascular permeability on molecular weight (47), with smaller molecules showing significantly greater permeability, even in tumor capillaries. This has been well known for normal capillaries (48). For proteins with a Stokes-Einstein radius of 40 Å, only very low levels are found outside the plasma, whereas proteins of 20 Å almost completely equilibrate with interstitial fluid or lymph. DARPins would probably behave like the latter (49), and because of the measured steep molecular weight dependence, have significantly higher permeability than scFv fragments and other larger constructs. In earlier work, permeability varied only 2-fold for substances between 25 and 160 kDa (scFv to full IgG; ref. 50), but recent work suggests much stronger trends when extending studies to smaller molecular weights (47). The capillary permeability may be the limiting parameter controlling the flow of antibodies reaching the tumor (8).

Because of the lack of lymphatic drainage in a tumor, proteins are moving from the capillary to the tumor center by diffusion, with negligible convection (8). The diffusion coefficient of an scFv and a PEGylated scFv differs only by a factor of 2 (28), and the differences between DARPin and scFv would be smaller still. Nonetheless, hindered diffusion through tumor interstitial space might augment this difference.

The underivatized DARPins are cleared through the kidney, giving rise to a rather short serum half-life and an observable accumulation of radioactivity in the kidney, very similar to scFv fragments or camelid VHH domains (see above).

An increase in molecular weight seems to be beneficial for tumor uptake only once the molecule is brought above the renal filtration cutoff (42). The addition of a nonfunctional binding site is neither beneficial for scFvs (37) nor DARPins (see above).

There are two modes of efficient targeting

Our conclusions are consistent with a mathematical model (36) published after the submission of this article. First, DARPins and presumably other small, very soluble proteins with picomolar affinity, also show high tumor accumulation with very fast clearance through the liver and kidney. This is probably due to high extravasation and tumor penetration, and requires a very slow off-rate from the target, leading to efficient tumor retention. Targeting is proportional to affinity and no plateau with affinity was seen, suggesting that still higher affinities might further increase tumor targeting.

Second, very large proteins such as monoclonal antibodies or PEGylated DARPins achieve even higher tumor loads due the long circulation and (slow) equilibration with the tumor, but the elimination from blood and nontumor tissue is also slow, and tumor-to-tissue ratios remain lower.

Intermediate size molecules (fused DARPins, scFv fragments) show lower tumor accumulation because elimination through the kidney is equally rapid, but extravasation, and perhaps tumor diffusion, is diminished. The very tight binding of a bivalent DARPin does not compensate this effect.

C. Zahnd, M. Kawe, M.T. Stumpp, H.K. Binz, and A. Plückthun are shareholders of Molecular Partners AG, which is commercializing the DARPin technology.

We thank Christian Gehringer and Frank Zoller for help in plasmid constructions, Martin Schwill for help in the fluorescence labeling, as well as Dr. Patrik Forrer, Dr. Patrick Amstutz, and Prof. Dr. Uwe Zangemeister-Wittke for helpful discussions. The DARPin technology is commercialized by Molecular Partners AG, Wagistrasse 14, 8952 Schlieren, Switzerland (http://www.molecularpartners.com).

Grant Support: Kommission für Technologie und Innovation, Gebert-Rüf-Stiftung (GRS-054/04; M.T. Stumpp), Swiss Cancer League (Krebsliga Schweiz; KLS-01686-02-2005), Oncosuisse (OCS-02128-08-2007), and University of Zurich.

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.

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