Small-molecule ligands specific for tumor-associated surface receptors have wide applications in cancer diagnosis and therapy. Achieving high-affinity binding to the desired target is important for improving detection limits and for increasing therapeutic efficacy. However, the affinity required for maximal binding and retention remains unknown. Here, we present a systematic study of the effect of small-molecule affinity on tumor uptake in vivo with affinities spanning a range of three orders of magnitude. A pretargeted bispecific antibody with different binding affinities to different DOTA (1,4,7,10-tetraazacyclododecane-1,4,7,10-tetraacetic acid)-based small molecules is used as a receptor proxy. In this particular system targeting carcinoembryonic antigen, a small-molecule–binding affinity of 400 pmol/L was sufficient to achieve maximal tumor targeting, and an improvement in affinity to 10 pmol/L showed no significant improvement in tumor uptake at 24 hours postinjection. We derive a simple mathematical model of tumor targeting using measurable parameters that correlates well with experimental observations. We use relations derived from the model to develop design criteria for the future development of small-molecule agents for targeted cancer therapeutics. Mol Cancer Ther; 11(6); 1365–72. ©2012 AACR.

This article is featured in Highlights of This Issue, p. 1219

Radiolabeled agents have been used as delivery vehicles of ionizing radiation to specific disease sites for more than 50 years (1–6). Their systemic administration allows the treatment of widely disseminated disease, as opposed to external beam radiotherapy, which is used for the treatment of known disease sites. Therapeutic radiopharmaceuticals are designed to exhibit high specificity to the targeted disease site with low accumulation in normal tissues producing minimal radiation damage to normal cells.

A large number of molecules have been considered for targeted delivery of radioisotopes, including radiolabeled antibodies, antibody fragments, alterative scaffolds, and small molecules (7–10). While antibodies exhibit excellent binding specificity, they also exhibit long half-lives in the blood resulting in low tumor-to-background ratios. Antibody fragments and other smaller binding scaffolds exhibit faster blood clearance but result in high kidney and/or liver uptake. Radiolabeled small-molecule ligands generally exhibit more rapid blood clearance and lower background than antibodies and antibody fragments but usually result in poor specificity due to relatively low affinities for the desired target. Thus, there is a strong interest in developing small molecules with higher affinities both through improved high-throughput screening techniques (11) and through affinity enhancement using avidity (12–14).

Another approach to generate high-affinity binding of small molecules to disease sites is to use a method called pretargeted radioimmunotherapy (15–17). This approach couples the high-binding specificity of antibodies with the rapid clearance of radiolabeled small molecules, resulting in high tumor uptake yet fast clearance from nontumor tissue.

We have engineered a high-affinity antibody fragment with specificity for DOTA (1,4,7,10-tetraazacyclododecane-1,4,7,10-tetraacetic acid) metal chelates for pretargeted radioimmunotherapy applications (18). A particularly unique feature of the engineered scaffold is its ability to bind to different DOTA chelates with a wide range of affinities. Here, we use it in a pretargeted approach to systematically analyze the effect of affinity on tumor uptake in vivo. We compare these results with a compartmental model that has been extended from previous work and use simple analytic relations to derive design criteria to guide engineering efforts in the development of small-molecule radiotherapeutics. We present here a unique analysis of affinity in tumor targeting and discuss its implications in pretargeted radioimmunotherapy and small-molecule targeting.

Reagents

DOTA, S-2-(R-aminobenzyl)-1,4,7,10-tetraazacyclododecane tetraacetic acid (DOTA-Bn), and S-2-(4-isothiocyanatobenzyl)-1,4,7,10-tetraazacyclododecane tetraacetic acid (DOTA-SCN) were purchased from Macrocyclics. All other chemicals were purchased from Sigma-Aldrich or Thermo Fisher Scientific unless specified otherwise. Sm3e/C825 bispecific antibody (bsAb) was produced by transient HEK cell transfection and purified as described (19).

Synthesis of dextran-based clearing agent

Five milligrams (10 nmol) of 500-kDa amino dextran purchased from Invitrogen with 136 moles of amine per mole dextran was reacted with 3.7 mg (5.3 μmol) DOTA-SCN in 1 mL dimethyl sulfoxide with 1.9 μL (13.6 μmol) triethylamine (TEA) overnight at room temperature with mild vortexing. The dextran reaction mixture was diluted with 14 mL of 0.4 mol/L sodium acetate (pH 5.2) and 53 μmol yttrium nitrate was added. The mixture was incubated overnight at 37°C, dialyzed against water, and then dried down by vacuum centrifugation. The dried dextran compound was resuspended in PBS and purified by size exclusion chromatography using a Superdex 75 10/300 GL column. Fractions containing the dextran compound were combined, dialyzed against water twice, dried by vacuum centrifugation, resuspended in saline, and 0.2-μm filtered. The final dextran-DOTA-Y contained approximately 130 DOTA molecules as assessed by a TNBSA assay (Thermo Fisher Scientific).

Radiolabeling

DOTA and DOTA-Bn were dissolved at 0.5 mmol/L in ammonium acetate (pH 5.6). About 1 to 2 mCi 177LuCl3 (PerkinElmer) or 111InCl3 (Cardinal Health) were added to the metal chelate and incubated for 1 to 2 hours at 85°C to 95°C. The radiolabeled compounds were purified by reverse-phase high-performance liquid chromatography (RP-HPLC; refs. 14, 20) with γ detection on a 4.6 × 75 mm2 Symmetry C18 column using a linear gradient from 0% to 40% B over 15 minutes, at a flow rate of 1 mL/min, where A = 10 mmol/L TEAA and B = methanol. The purified compounds were dried under vacuum, resuspended in saline, and filter-sterilized.

111In-DOTA-dextran was prepared by synthesizing dextran-DOTA as described above, without loading with cold yttrium. Dextran-DOTA was incubated with 1 to 2 mCi 111InCl3 for 1 hour at 37°C followed by concentration and dilution with saline as described above.

Animal models

All animal handling was conducted in accordance with Beth Israel Deaconess Medical Center Institutional Animal Care and Use Committee guidelines. LS174T and C6 cells were obtained from American Type Culture Collection and maintained under standard conditions. The cell lines were confirmed to be negative for mycoplasma and mouse pathogens by the Yale Virology Lab (Yale School of Medicine, New Haven, CT). Xenograft tumors were established in left and right flanks, respectively, of 5- to 6-week-old make NCRU-nu/nu mice (Taconic Farms) as described previously (19).

Pretargeted protocol

An IgG-based bsAb, Sm3e/C825, that binds to carcinoembryonic antigen (CEA) and DOTA metal chelates has been previously described (19). The bsAb binds to CEA with an apparent affinity of about 100 pmol/L and to 177Lu-DOTA-Bn, 177Lu-DOTA, 111In-DOTA-Bn, and 111In-DOTA with affinities of approximately 10 pmol/L, 400 pmol/L, 1 nmol/L, and 20 nmol/L, respectively (18, 19). Five hundred micrograms (2.5 nmol) Sm3e/C825 bsAb (19) was intravenously injected into LS174T and C6 (CEA-negative tumor used as a control for nonspecific tumor uptake) tumor-bearing mice followed by intravenous injection of 250 μg (0.45 nmol) dextran clearing agent 24 hours later to clear residual bsAb in the blood before administration of the radiolabeled DOTA. One hundred to 150 μCi (2–8 pmol) 177Lu-DOTA-Bn, 177Lu-DOTA, 111In-DOTA-Bn, or 111In-DOTA was injected intravenously 1 hour following clearing agent administration. Blood was collected from the tail vein using microcapillary tubes and counted on a model 1470 Wallac Wizard (PerkinElmer) 10-detector γ-counter. At various times, mice were euthanized by intraperitoneal injection of pentobarbital followed by cervical dislocation, a method consistent with the recommendations of the Panel on Euthanasia of the American Veterinary Medical Association. Organs and tumors were resected, washed 3 times in PBS, weighed, and counted as described above.

Imaging

SPECT/CT (single-photon emission computed tomography/computed tomography) scans and image analyses were conducted using a rodent scanner (NanoSPECT/CT, Bioscan) equipped with an 8W X-ray source running at 45 kV (177 μA) and a 48-μm pitch CMOS-CCD X-ray detector. Mice were anesthetized in an anesthetic chamber with isoflurane and transferred to a bed on a gantry for imaging where gas anesthesia was maintained for the duration of the scan. After acquisition of a CT topogram, helical micro-SPECT was conducted using a 4-headed γ camera outfitted with multi-pinhole collimators (1.4 mm) and a total scan time of 45 minutes. SPECT images were acquired over 360 degrees in 24 projections each using a 256 × 256 frame size (1.0-mm pixels). Images were reconstructed with Bioscan HiSPECT iterative reconstruction software and fused with CT images. Immediately after scanning, mice were sacrificed; tissues and tumors were weighed and counted as described above.

Mathematical model

Tumor uptake of radiolabeled small molecules was simulated using a mechanistic compartmental model extended from previous work (21, 22), with the assumption that radioisotope that is internalized into cells remains trapped within the cell (Supplementary Materials and Methods). The tumor concentration of residualizing isotope following a subsaturating intravenous injection of radiolabeled small molecule can therefore be described as follows:

where Ctumor is the overall concentration of the isotope in the tumor, t is time, Cp0 is the initial plasma concentration of the radiolabeled small molecule, ke is the rate of endocytosis (s−1), BP is the binding potential Bmax/KD, Bmax is the concentration of total antigen in the tumor, and KD is the binding affinity, Ktrans is the transcapillary transport rate (s−1), kcl is the plasma clearance rate of the small molecule (s−1), and ϵ is the available volume fraction of the small molecule in the tumor. Parameter values were measured experimentally as described or obtained from published literature (Supplementary Table S1).

Using the above model, the concentration of residualized isotope in the tumor as time goes to infinity is as follows:

The bsAb Sm3e/C825, composed of the engineered high-affinity antibody fragment C825 with specificity for DOTA metal chelates (18), was used in a pretargeted protocol to target DOTA chelates to CEA-expressing xenograft tumors. A schematic depicting the pretargeted approach is shown in Fig. 1. C825 binds to different DOTA chelates with widely varying affinities dependent on the chelated metal and the presence or lack of an aminobenzene group attached to a carbon in the macrocycle backbone of DOTA. The organ/tissue biodistribution at 24 hours postinjection of the hapten (177Lu-DOTA-Bn, 177Lu-DOTA, 111In-DOTA-Bn, or 111In-DOTA) was determined in tumor-bearing mice (Fig. 2 and Supplementary Table S2). The activity in the LS174T tumor increased with increasing hapten affinity from 0.5%ID/g ± 0.1%ID/g for 111In-DOTA (KD = 20 nmol/L) to 1.6%ID/g ± 0.3%ID/g for 111In-DOTA-Bn (KD = 1 nmol/L) to 14.3%ID/g ± 1.8%ID/g for 177Lu-DOTA (KD = 400 pmol/L). The tumor activity for 177Lu-DOTA-Bn (KD = 10 pmol/L) was 19%ID/g ± 4%ID/g and not significantly different than that of the 400 pmol/L affinity 177Lu-DOTA. The activity in the C6 antigen–negative tumor also increased with affinity, due to higher-affinity binding to bsAb retained nonspecifically through the enhanced permeability and retention (EPR) effect (23). Activities in nontumor tissues are also higher for the highest affinity compounds due to higher affinity binding to residual bsAb. The tumor-to-kidney ratio increased from 1.2 ± 0.4 for about 20 nmol/L to 17 ± 3 for about 400 pmol/L but then decreased to 10 ± 2 for ∼10 pmol/L affinity due to higher uptake in the kidney yet similar tumor uptake. Similarly, the tumor-to-blood ratio was highest for 400 pmol/L affinity 177Lu-DOTA at 380 ± 90.

Figure 1.

Schematic of pretargeted radioimmunotherapy. A bifunctional antibody is administered in stage I and allowed to localize to tumor tissue in stage II. In stage III, a dextran clearing agent is administered. The clearing agent binds to bifunctional antibody in the blood compartment and clears it quickly as depicted in stage IV. Radiolabeled DOTA is administered in stage V, where it binds to bifunctional antibody in vivo and clears rapidly via the kidneys in stage VI.

Figure 1.

Schematic of pretargeted radioimmunotherapy. A bifunctional antibody is administered in stage I and allowed to localize to tumor tissue in stage II. In stage III, a dextran clearing agent is administered. The clearing agent binds to bifunctional antibody in the blood compartment and clears it quickly as depicted in stage IV. Radiolabeled DOTA is administered in stage V, where it binds to bifunctional antibody in vivo and clears rapidly via the kidneys in stage VI.

Close modal
Figure 2.

Biodistribution of DOTA compounds with varying affinities. Organ/tissue biodistribution 24 hours postinjection (mean ± SD, n = 3) of 177Lu-DOTA-Bn, 177Lu-DOTA, 111In-DOTA-Bn, and 111In-DOTA. Five hundred micrograms of Sm3e/C825 bsAb was injected intravenously followed by 250 μg Y-DOTA-dextran clearing agent 24 hours later. Radiolabeled DOTA was injected 1 hour after the clearing agent.

Figure 2.

Biodistribution of DOTA compounds with varying affinities. Organ/tissue biodistribution 24 hours postinjection (mean ± SD, n = 3) of 177Lu-DOTA-Bn, 177Lu-DOTA, 111In-DOTA-Bn, and 111In-DOTA. Five hundred micrograms of Sm3e/C825 bsAb was injected intravenously followed by 250 μg Y-DOTA-dextran clearing agent 24 hours later. Radiolabeled DOTA was injected 1 hour after the clearing agent.

Close modal

One mouse from each affinity group was imaged by SPECT/CT (Fig. 3). For the 111In isotope, visible tumor signal is observed in the antigen-positive LS174T tumor at 24 hours postinjection for 1 nmol/L 111In-DOTA-Bn; however, no significant signal is observed for 20 nmol/L 111In-DOTA. For the 177Lu isotope, excellent tumor targeting is observed for both 400 pmol/L 177Lu-DOTA and 10 pmol/L 177Lu-DOTA-Bn. Some signal is also observed in the antigen-negative tumors, as expected from the biodistribution data. It should be noted that while 111In and 177Lu have similar reconstructed resolutions, the average sensitivity of 111In is about 5 times greater than 177Lu in mice (24).

Figure 3.

SPECT/CT images of pretargeted DOTA compounds with varying affinities. SPECT/CT maximum intensity projections of tumor mice pretargeted with 111In-DOTA (A), 111In-DOTA-Bn (B), 177Lu-DOTA (C), and 177Lu-DOTA-Bn (D) 24 hours postinjection. Note that visualization of activity in the tumor(s) depends on both tumor activity and tumor size. Tumors were 0.1 to 0.4 g in size. Activity is observed in the bladder of some mice due to renal excretion.

Figure 3.

SPECT/CT images of pretargeted DOTA compounds with varying affinities. SPECT/CT maximum intensity projections of tumor mice pretargeted with 111In-DOTA (A), 111In-DOTA-Bn (B), 177Lu-DOTA (C), and 177Lu-DOTA-Bn (D) 24 hours postinjection. Note that visualization of activity in the tumor(s) depends on both tumor activity and tumor size. Tumors were 0.1 to 0.4 g in size. Activity is observed in the bladder of some mice due to renal excretion.

Close modal

The use of the clearing agent 1 hour before hapten administration resulted in significantly better tumor-to-background ratios compared with a 2-step protocol (Supplementary Fig. S1). For the pretargeted protocol, the dextran-DOTA compound was loaded with nonradioactive yttrium as it is one of the metals, when chelated to DOTA and DOTA-Bn that exhibits the highest affinity to C8.2.5. The clearing agent clears rapidly from the blood through the liver and spleen with no observable tumor accumulation (Supplementary Fig. S2).

Because the 177Lu-DOTA compound resulted in the highest tumor-to-background ratios of the 4 DOTA haptens, it was further characterized for pretargeted radioimmunotherapy applications. At 4 hours postinjection of 177Lu-DOTA, tumor uptake was 7.44%ID/g ± 0.41%ID/g in the antigen-positive tumor (Table 1 and Supplementary Fig. S3), approximately 90-fold higher than the tumor uptake observed for 177Lu-DOTA alone (Supplementary Table S3). Tumor uptake in the antigen-negative tumor was 9.82%ID/g ± 0.35%ID/g at 4 hours, similar to the antigen-positive tumor due to the EPR effect. Over time, the tumor activity in the antigen-negative tumor decreased to 4.23%ID/g ± 0.54%ID/g at 24 hours and 2.89%ID/g ± 2.28%ID/g at 48 hours whereas the tumor activity in the antigen-positive tumor increased to 14.3%ID/g ± 1.8%ID/g at 24 hours and remained essentially constant at 48 hours. The LS174T tumor-to-blood ratio increased from 18 ± 2 at 4 hours to 380 ± 90 at 24 hours and was greater than 450 at 48 hours (Table 2). At 48 hours, the blood activity was not measurable above background. The LS174T tumor-to-kidney ratio increased from approximately 8 at 4 hours to about 20 at 24 and 48 hours.

Table 1.

Biodistribution of pretargeted 177Lu-DOTA

Time postinjectiona
Organ/tissue4 h24 h48 h
Blood 0.42 ± 0.02 0.04 ± 0.01 < 0.03 
Skin 4.68 ± 1.06 1.05 ± 0.25 0.71 ± 0.20 
Adipose 2.78 ± 1.08 0.67 ± 0.12 0.60 ± 0.29 
Muscle 1.56 ± 0.56 0.41 ± 0.24 0.15 ± 0.07 
Bone (femur) 1.49 ± 0.38 0.43 ± 0.12 0.24 ± 0.10 
Heart 0.25 ± 0.16 0.05 ± 0.01 0.07 ± 0.03 
Lung 1.25 ± 0.43 0.37 ± 0.07 0.21 ± 0.04 
Spleen 0.39 ± 0.09 0.29 ± 0.09 0.64 ± 0.60 
Liver 0.59 ± 0.21 0.51 ± 0.23 0.56 ± 0.35 
Kidneys (both) 0.92 ± 0.05 0.88 ± 0.16 0.62 ± 0.19 
Stomach (with contents) 0.21 ± 0.12 0.09 ± 0.07 0.22 ± 0.24 
Small intestine 0.28 ± 0.02 0.08 ± 0.04 0.14 ± 0.11 
Large intestine 0.13 ± 0.09 0.52 ± 0.56 0.11 ± 0.04 
C6 tumor 9.82 ± 0.35 (0.26 ± 0.08 g) 4.23 ± 0.54 (0.26 ± 0.07 g) 2.89 ± 2.28 (0.28 ± 0.13 g) 
LS174T tumor 7.44 ± 0.41 (0.09 ± 0.03 g) 14.34 ± 1.83 (0.21 ± 0.10 g) 13.44 ± 3.25 (0.49 ± 0.09 g) 
Time postinjectiona
Organ/tissue4 h24 h48 h
Blood 0.42 ± 0.02 0.04 ± 0.01 < 0.03 
Skin 4.68 ± 1.06 1.05 ± 0.25 0.71 ± 0.20 
Adipose 2.78 ± 1.08 0.67 ± 0.12 0.60 ± 0.29 
Muscle 1.56 ± 0.56 0.41 ± 0.24 0.15 ± 0.07 
Bone (femur) 1.49 ± 0.38 0.43 ± 0.12 0.24 ± 0.10 
Heart 0.25 ± 0.16 0.05 ± 0.01 0.07 ± 0.03 
Lung 1.25 ± 0.43 0.37 ± 0.07 0.21 ± 0.04 
Spleen 0.39 ± 0.09 0.29 ± 0.09 0.64 ± 0.60 
Liver 0.59 ± 0.21 0.51 ± 0.23 0.56 ± 0.35 
Kidneys (both) 0.92 ± 0.05 0.88 ± 0.16 0.62 ± 0.19 
Stomach (with contents) 0.21 ± 0.12 0.09 ± 0.07 0.22 ± 0.24 
Small intestine 0.28 ± 0.02 0.08 ± 0.04 0.14 ± 0.11 
Large intestine 0.13 ± 0.09 0.52 ± 0.56 0.11 ± 0.04 
C6 tumor 9.82 ± 0.35 (0.26 ± 0.08 g) 4.23 ± 0.54 (0.26 ± 0.07 g) 2.89 ± 2.28 (0.28 ± 0.13 g) 
LS174T tumor 7.44 ± 0.41 (0.09 ± 0.03 g) 14.34 ± 1.83 (0.21 ± 0.10 g) 13.44 ± 3.25 (0.49 ± 0.09 g) 

aMice were injected with 500 μg bsAb i.v. Twenty-four hours later, mice received 250 μg dextran-DOTA i.v. One hour later, mice received 100 to 150 μCi of 177Lu-DOTA i.v. and were sacrificed at 4, 24, and 48 hours postinjection. Data given as mean ± SD (%ID/g, n = 3). Tumor weights are provided as mean ± SD in parentheses.

Table 2.

Pretargeted tumor/organ ratios

Time postinjectiona
Organ/tissue4 h24 h48 h
Blood 18 ± 2 380 ± 90 > 450 
Skin 1.7 ± 0.4 14 ± 2 20 ± 8 
Adipose 3.2 ± 1.5 23 ± 6 28 ± 13 
Muscle 5.3 ± 1.6 57 ± 41 105 ± 40 
Bone (femur) 5.3 ± 1.6 38 ± 16 60 ± 19 
Heart 49 ± 36 323 ± 108 244 ± 85 
Lung 7.2 ± 3.7 39 ± 3 63 ± 6 
Spleen 20 ± 5 52 ± 12 40 ± 21 
Liver 13.9 ± 3.7 33 ± 11 32 ± 13 
Kidneys (both) 8.1 ± 0.2 17 ± 3 22 ± 3 
Stomach (with contents) 48 ± 22 252 ± 119 276 ± 236 
Small intestine 27 ± 4 217 ± 76 183 ± 129 
Large intestine 80 ± 36 83 ± 53 128 ± 16 
C6 tumor 0.7 ± 0.1 3.4 ± 0.3 10 ± 9 
LS174T tumor 
Time postinjectiona
Organ/tissue4 h24 h48 h
Blood 18 ± 2 380 ± 90 > 450 
Skin 1.7 ± 0.4 14 ± 2 20 ± 8 
Adipose 3.2 ± 1.5 23 ± 6 28 ± 13 
Muscle 5.3 ± 1.6 57 ± 41 105 ± 40 
Bone (femur) 5.3 ± 1.6 38 ± 16 60 ± 19 
Heart 49 ± 36 323 ± 108 244 ± 85 
Lung 7.2 ± 3.7 39 ± 3 63 ± 6 
Spleen 20 ± 5 52 ± 12 40 ± 21 
Liver 13.9 ± 3.7 33 ± 11 32 ± 13 
Kidneys (both) 8.1 ± 0.2 17 ± 3 22 ± 3 
Stomach (with contents) 48 ± 22 252 ± 119 276 ± 236 
Small intestine 27 ± 4 217 ± 76 183 ± 129 
Large intestine 80 ± 36 83 ± 53 128 ± 16 
C6 tumor 0.7 ± 0.1 3.4 ± 0.3 10 ± 9 
LS174T tumor 

aTumor/organ ratios (mean ± SD, n = 3). Mice were injected with 500 μg bsAb i.v. Twenty-four hours later, mice received 250 μg dextran-DOTA i.v. One hour later, mice received 100 to 150 μCi of 177Lu-DOTA i.v. and were sacrificed at 4, 24, and 48 hours postinjection.

We developed a mathematical model on the basis of an extension to a previously published compartmental model of tumor uptake of targeted agents (21). The model uses only measurable parameters, with no fit variables (Supplementary Table S1). The transcapillary transport rate of the DOTA-based compounds was assumed to be similar to that for Gd-DTPA (25). This model applies only to residualizing isotopes and targeted molecules that are not cell permeable. For radiotherapy, the goal is to retain the isotope for an extended period of time to allow for radioactive decay at the site of the tumor. It is known that radioactive metals and some forms of iodine are residualizing and retained intracellularly after internalization (26–28). Derivation of the model is provided in the Supplementary Materials and Methods. The analytic solution allows straightforward analysis of the effect of changing parameters on tumor uptake.

From this equation, we derive a metric for affinity, BP > Ktrans/(ϵ × ke), for maximum tumor uptake of isotope for a given radiotherapeutic/antigen system. From this metric, we predict that faster internalization will lead to a lower affinity requirement and that higher affinity is required for ligands with faster transcapillary transport and for antigen targets with lower Bmax.

For the particular system studied here, |\frac{{{\raise0.7ex\hbox{${K^{{\rm trans}}}$} \!\mathord{\left/ {\vphantom {{K^{{\rm trans}}} \varepsilon}}\right.\kern-\nulldelimiterspace}\!\lower0.7ex\hbox{$\varepsilon $}}}}{{k_{\rm e}}}|{\approx 400}⁠, therefore, it is predicted that saturating levels of signal should be obtained with |${\rm BP}\;{{\rm = }}\;{\frac{{B_{\max }}}{{k_{\rm d}}}} > 400$|⁠. For our measured value of Bmax = 200 nmol/L, this corresponds to Kd < 0.5 nmol/L, consistent with the experimental results (Fig. 4). Equation (D) also predicts a maximal residualized tumor signal of |${\lim _{t \to \infty}} = {\frac{{K^{{\rm trans}}}}{{k_{{\rm cl}}}}}C_{{\rm p0}}$| for the highest affinity capture; thus for the parameters in this system, |$\lim _{t \to \infty} C_{{\rm resid}} =$||$0.3\;C_{{\rm p0}} \cong 15$|%ID/g is the predicted highest dose attainable.

Figure 4.

Twenty-four hour tumor uptake for varying affinities: mathematical prediction versus experimental results. Mathematical prediction (line) and experimental data (squares, mean ± SD, n = 3) of 24-hour tumor %ID/g for increasing affinity. Model parameters: t1/2, ke = 13 hours, Bmax = 226 nmol/L, ϵ = 0.44, t1/2, cl = 2.07 minutes, Ktrans = 0.0022 s−1.

Figure 4.

Twenty-four hour tumor uptake for varying affinities: mathematical prediction versus experimental results. Mathematical prediction (line) and experimental data (squares, mean ± SD, n = 3) of 24-hour tumor %ID/g for increasing affinity. Model parameters: t1/2, ke = 13 hours, Bmax = 226 nmol/L, ϵ = 0.44, t1/2, cl = 2.07 minutes, Ktrans = 0.0022 s−1.

Close modal

The experimental results of tumor uptake versus affinity compared very well with model prediction (Fig. 4) with the 24-hour tumor uptake increasing significantly from single-digit nanomolar to picomolar affinity and then reaching a plateau.

Here, we present a systematic study of the effect of affinity on tumor uptake of DOTA metal haptens using a previously engineered bsAb that binds with varying affinities to different DOTA chelates (18). The effect of binding affinity on tumor uptake has been previously described for antibodies and antibody fragments (29, 30). However, this is the first time, to our knowledge, that the effect of binding affinity on tumor targeting of a small molecule has been studied in vivo with the same target antigen resulting in unaltered internalization kinetics and Bmax. Four compounds spanning a range of affinities over 3 orders of magnitude were studied. We show here that an affinity of 400 pmol/L is required for maximum uptake in the studied system with an internalization half-life of about 13 hours and a Bmax on the order of 200 nmol/L (105–106 binding sites per cell, assuming typical cell densities for a vascular xenograft tumor; ref. 31). Further improvement in affinity to 10 pmol/L affinity does not significantly improve tumor uptake.

Tumor uptake of radiolabeled small molecules was simulated using a mechanistic compartmental model extended from previous work. The experimental results were consistent with model simulations. We further derived analytic relations to provide design criteria to guide engineering efforts in the development of small-molecule radiotherapeutics. The design criteria allow for prediction of a target affinity for the development of new radiotherapeutic agents. These relationships can guide experimental efforts in drug development.

The experimental and mathematical model results presented here suggest that a plateau exists for any given ligand–receptor pair such that further improvements in affinity result in no additional improvement in tumor uptake. The affinity range at which this plateau exists depends on the Bmax, ke, Ktrans, and ϵ of the particular ligand and antigen. For example, in the system studied here, if Bmax was reduced from 200 to 20 nmol/L, saturating levels of signal would require a 10-fold improvement in affinity. Beyond a given affinity, additional affinity improvement may result in decreased therapeutic efficacy in some applications by resulting in higher background due to improved binding to residual bsAb present at low concentrations in PRIT applications or improved uptake in normal tissues with low levels of antigen expression in one-step approaches.

It should be noted that the clearing agent did not appear to completely clear circulating bsAb, as the amount of background signal increased with increasing hapten affinity (Fig. 2). In addition, the LS174T tumor activity increases from 4 to 24 hours for pretargeted 177Lu-DOTA (Supplementary Fig. S3). While the simplified model presented here does not take antibody kinetics into account, the correlation of the experimental data with the model suggest that the relationships derived here may be useful in the design of tumor-targeting small molecules. Additional experiments with more efficient clearing of the bsAb would provide further data to support the model.

In addition to the affinity series, we present a method for pretargeted radioimmunotherapy that uses an IgG-scFv bsAb, a dextran-based clearing agent, and radiolabeled DOTA. 177Lu-DOTA has previously been shown to exhibit very rapid whole-body clearance from mice (32). Here, we show high LS174T tumor uptake and retention of 177Lu-DOTA with fast clearance from nontumor tissue resulting in the highest yet reported tumor-to-kidney ratios at 48 hours postinjection for CEA targeting.

A significant amount of 177Lu-DOTA uptake is observed in the CEA-negative tumors at early times. The EPR effect results in nonspecific tumor accumulation of high-molecular-weight compounds. While approximately 4-fold higher bsAb uptake is observed in LS174T tumors versus C6 tumors (19), a significant fraction of the bsAb localized to the LS174T tumors will be inaccessible to binding due to the approximately 13-hour internalization half-life of CEA (33), whereas all bsAb in the C6 tumors will be accessible to hapten binding. This is consistent with the observation of similar hapten activities in the 2 tumors at early times. At later times, unbound antibody slowly intravasates out of the CEA-negative tumor, whereas CEA-bound antibody in the LS174T tumors internalizes 177Lu-DOTA compounds where the radiolabel is trapped within the cell.

An engineered IgG-like bsAb was used here to harness the established therapeutic advantages of IgGs. The bsAb possesses slow blood clearance resulting in high tumor uptake, retains potentially beneficial secondary immune function, and can be produced and purified in a fashion identical to that of an IgG (19). The system uses DOTA-chelated metal as the hapten, with no additional synthesis or modification required. This eliminates any issues with linker cleavage and peptide stability that have been reported for other haptens in PRIT applications (34, 35). DOTA chelated to gadolinium has been administered to human subjects in millimolar concentrations and has an established safety profile. DOTA metal chelates exhibit rapid blood clearance and whole-body clearance observed in mice (32) and humans (36). A particularly useful advantage to the approach described here is that only radiolabeled DOTA will bind to the pretargeted anti-DOTA–binding sites, whereas unlabeled DOTA exhibits no observable binding. This results in very high effective-specific activity without requiring complex and time-consuming purification schemes.

While 3-step pretargeted radioimmunotherapy adds complexity over 2-step procedures, it allows higher doses of bsAb to be administered resulting in higher achieved tumor doses as well as more homogenous distribution within the tumor (37). In addition, it allows for possible secondary immune effects resulting from the retained Fc domain that may prove significant (38). Two-step approaches may be sufficient for molecular imaging leading to improved cancer screening and staging (39, 40). However, it is anticipated that the increased number of hapten-binding sites afforded by 3-step approaches will prove critical for therapy.

We present here a method for pretargeted radioimmunotherapy and use it in a systematic study of the effect of small-molecule affinity on tumor uptake in vivo with affinities spanning a range of 3 orders of magnitude. In addition, we develop a mathematical model of tumor targeting using only known, measured parameters that correlates well with experimental observations. We predict that this model will be useful for rational design of new agents and to guide experimental efforts in the development and optimization of targeted cancer therapeutics.

No potential conflicts of interests were disclosed.

Conception and design: K.D. Orcutt, K. Dane Wittrup

Development of methodology: K.D. Orcutt, J.V. Frangioni, K. Dane Wittrup

Acquisition of data (provided animals, acquired and managed patients, provided facilities, etc.): K.D. Orcutt, J.J. Rhoden, B. Ruiz-Yi, J.V. Frangioni

Analysis and interpretation of data (e.g., statistical analysis, biostatistics, computational analysis): K.D. Orcutt, B. Ruiz-Yi, J.V. Frangioni, K. Dane Wittrup

Writing, review, and/or revision of the manuscript: K.D. Orcutt, J.J. Rhoden, K. Dane Wittrup

Study supervision: K. Dane Wittrup

The authors thank David G. Whitehead and Fangbing Liu, PhD, for help with cell culture; Elaine P. Lunsford for assistance with SPECT/CT imaging; Hak Soo Choi, PhD, for helpful discussions; Lorissa Moffitt for editing; and Eugenia Trabucchi and Donald McGaffigan for administrative support.

The study was supported by National Science Foundation Graduate Research Fellowships (K.D. Orcutt and J.J. Rhoden); Lewis Family Fund (J.V. Frangioni); and NIH grant R01-CA-101830 (K.D. Wittrup).

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.

1.
Beierwaltes
WH
. 
Radioiodine therapy of thyroid disease
.
Int J Rad Appl Instrum B
1987
;
14
:
177
81
.
2.
Britton
KE
. 
Towards the goal of cancer-specific imaging and therapy
.
Nucl Med Commun
1997
;
18
:
992
1007
.
3.
Firusian
N
,
Mellin
P
,
Schmidt
CG
. 
Results of 89strontium therapy in patients with carcinoma of the prostate and incurable pain from bone metastases: a preliminary report
.
J Urol
1976
;
116
:
764
8
.
4.
Hoefnagel
CA
. 
Anti-cancer radiopharmaceuticals
.
Anticancer Drugs
1991
;
2
:
107
32
.
5.
Larson
SM
. 
Radioimmunology. Imaging and therapy
.
Cancer
1991
;
67
:
1253
60
.
6.
Winston
MA
. 
Radioisotope therapy in bone and joint disease
.
Semin Nucl Med
1979
;
9
:
114
20
.
7.
Wiseman
GA
,
White
CA
,
Witzig
TE
,
Gordon
LI
,
Emmanouilides
C
,
Raubitschek
A
, et al
Radioimmunotherapy of relapsed non-Hodgkin's lymphoma with zevalin, a 90Y-labeled anti-CD20 monoclonal antibody
.
Clin Cancer Res
1999
;
5
:
3281s
6s
.
8.
Tolmachev
V
,
Orlova
A
,
Pehrson
R
,
Galli
J
,
Baastrup
B
,
Andersson
K
, et al
Radionuclide therapy of HER2-positive microxenografts using a 177Lu-labeled HER2-specific Affibody molecule
.
Cancer Res
2007
;
67
:
2773
82
.
9.
Birchler
MT
,
Thuerl
C
,
Schmid
D
,
Neri
D
,
Waibel
R
,
Schubiger
A
, et al
Immunoscintigraphy of patients with head and neck carcinomas, with an anti-angiogenetic antibody fragment
.
Otolaryngol Head Neck Surg
2007
;
136
:
543
8
.
10.
Reubi
JC
,
Maecke
HR
. 
Peptide-based probes for cancer imaging
.
J Nucl Med
2008
;
49
:
1735
8
.
11.
Peng
L
,
Liu
R
,
Marik
J
,
Wang
X
,
Takada
Y
,
Lam
KS
. 
Combinatorial chemistry identifies high-affinity peptidomimetics against alpha4beta1 integrin for in vivo tumor imaging
.
Nat Chem Biol
2006
;
2
:
381
9
.
12.
Mammen
M
,
Choi
S
,
Whitesides
GM
. 
Polyvalent interactions in biological systems: implications for design and use of multivalent ligands and inhibitors
.
Angew Chem Int Ed
1998
;
37
:
2754
94
.
13.
Humblet
V
,
Misra
P
,
Bhushan
KR
,
Nasr
K
,
Ko
YS
,
Tsukamoto
T
, et al
Multivalent scaffolds for affinity maturation of small molecule cell surface binders and their application to prostate tumor targeting
.
J Med Chem
2009
;
52
:
544
50
.
14.
Misra
P
,
Humblet
V
,
Pannier
N
,
Maison
W
,
Frangioni
JV
. 
Production of multimeric prostate-specific membrane antigen small-molecule radiotracers using a solid-phase 99mTc preloading strategy
.
J Nucl Med
2007
;
48
:
1379
89
.
15.
Goodwin
DA
,
Meares
CF
,
McCall
MJ
,
McTigue
M
,
Chaovapong
W
. 
Pre-targeted immunoscintigraphy of murine tumors with indium-111-labeled bifunctional haptens
.
J Nucl Med
1988
;
29
:
226
34
.
16.
Sharkey
RM
,
Karacay
H
,
Cardillo
TM
,
Chang
CH
,
McBride
WJ
,
Rossi
EA
, et al
Improving the delivery of radionuclides for imaging and therapy of cancer using pretargeting methods
.
Clin Cancer Res
2005
;
11
:
7109s
21s
.
17.
Boerman
OC
,
van Schaijk
FG
,
Oyen
WJ
,
Corstens
FH
. 
Pretargeted radioimmunotherapy of cancer: progress step by step
.
J Nucl Med
2003
;
44
:
400
11
.
18.
Orcutt
KD
,
Slusarczyk
AL
,
Cieslewicz
M
,
Ruiz-Yi
B
,
Bhushan
KR
,
Frangioni
JV
, et al
Engineering an antibody with picomolar affinity to DOTA chelates of multiple radionuclides for pretargeted radioimmunotherapy and imaging
.
Nucl Med Biol
2011
;
38
:
223
33
.
19.
Orcutt
KD
,
Ackerman
ME
,
Cieslewicz
M
,
Quiroz
E
,
Slusarczyk
AL
,
Frangioni
JV
, et al
A modular IgG-scFv bispecific antibody topology
.
Protein Eng Des Sel
2010
;
23
:
221
8
.
20.
Humblet
V
,
Misra
P
,
Frangioni
JV
. 
An HPLC/mass spectrometry platform for the development of multimodality contrast agents and targeted therapeutics: prostate-specific membrane antigen small molecule derivatives
.
Contrast Media Mol Imaging
2006
;
1
:
196
211
.
21.
Schmidt
MM
,
Wittrup
KD
. 
A modeling analysis of the effects of molecular size and binding affinity on tumor targeting
.
Mol Cancer Ther
2009
;
8
:
2861
71
.
22.
Tofts
PS
,
Brix
G
,
Buckley
DL
,
Evelhoch
JL
,
Henderson
E
,
Knopp
MV
, et al
Estimating kinetic parameters from dynamic contrast-enhanced T(1)-weighted MRI of a diffusable tracer: standardized quantities and symbols
.
J Magn Reson Imaging
1999
;
10
:
223
32
.
23.
Maeda
H
,
Wu
J
,
Sawa
T
,
Matsumura
Y
,
Hori
K
. 
Tumor vascular permeability and the EPR effect in macromolecular therapeutics: a review
.
J Control Release
2000
;
65
:
271
84
.
24.
Hoppin
J
,
Orcutt
KD
,
Hesterman
JY
,
Silva
MD
,
Cheng
D
,
Lackas
C
, et al
Assessing antibody pharmacokinetics in mice with in vivo imaging
.
J Pharmacol Exp Ther 2011
;
337
:
350
8
.
25.
Daldrup
H
,
Shames
DM
,
Wendland
M
,
Okuhata
Y
,
Link
TM
,
Rosenau
W
, et al
Correlation of dynamic contrast-enhanced MR imaging with histologic tumor grade: comparison of macromolecular and small-molecular contrast media
.
AJR Am J Roentgenol
1998
;
171
:
941
9
.
26.
Shih
LB
,
Thorpe
SR
,
Griffiths
GL
,
Diril
H
,
Ong
GL
,
Hansen
HJ
, et al
The processing and fate of antibodies and their radiolabels bound to the surface of tumor cells in vitro: a comparison of nine radiolabels
.
J Nucl Med
1994
;
35
:
899
908
.
27.
Stein
R
,
Govindan
SV
,
Mattes
MJ
,
Chen
S
,
Reed
L
,
Newsome
G
, et al
Improved iodine radiolabels for monoclonal antibody therapy
.
Cancer Res
2003
;
63
:
111
8
.
28.
Press
OW
,
Shan
D
,
Howell-Clark
J
,
Eary
J
,
Appelbaum
FR
,
Matthews
D
, et al
Comparative metabolism and retention of iodine-125, yttrium-90, and indium-111 radioimmunoconjugates by cancer cells
.
Cancer Res
1996
;
56
:
2123
9
.
29.
Adams
GP
,
Schier
R
,
McCall
AM
,
Simmons
HH
,
Horak
EM
,
Alpaugh
RK
, et al
High affinity restricts the localization and tumor penetration of single-chain fv antibody molecules
.
Cancer Res
2001
;
61
:
4750
5
.
30.
Rudnick
SI
,
Lou
J
,
Shaller
CC
,
Tang
Y
,
Klein-Szanto
AJ
,
Weiner
LM
, et al
Influence of affinity and antigen internalization on the uptake and penetration of Anti-HER2 antibodies in solid tumors
.
Cancer Res 2011
;
71
:
2250
9
.
31.
Thurber
GM
,
Zajic
SC
,
Wittrup
KD
. 
Theoretic criteria for antibody penetration into solid tumors and micrometastases
.
J Nucl Med
2007
;
48
:
995
9
.
32.
Orcutt
KD
,
Nasr
K
,
Whitehead
DG
,
Frangioni
JV
,
Wittrup
KD
. 
Biodistribution and clearance of small molecule hapten chelates for pretargeted radioimmunotherapy
.
Mol Imaging Biol
2011
;
13
:
215
21
.
33.
Schmidt
MM
,
Thurber
GM
,
Wittrup
KD
. 
Kinetics of anti-carcinoembryonic antigen antibody internalization: effects of affinity, bivalency, and stability
.
Cancer Immunol Immunother
2008
;
57
:
1879
90
.
34.
van Gog
FB
,
Visser
GW
,
Gowrising
RW
,
Snow
GB
,
van Dongen
GA
. 
Synthesis and evaluation of 99mTc/99Tc-MAG3-biotin conjugates for antibody pretargeting strategies
.
Nucl Med Biol
1998
;
25
:
611
9
.
35.
van Schaijk
FG
,
Oosterwijk
E
,
Soede
AC
,
Broekema
M
,
Frielink
C
,
McBride
WJ
, et al
Pretargeting of carcinoembryonic antigen-expressing tumors with a biologically produced bispecific anticarcinoembryonic antigen x anti-indium-labeled diethylenetriaminepentaacetic acid antibody
.
Clin Cancer Res
2005
;
11
:
7130s
6s
.
36.
Le Mignon
MM
,
Chambon
C
,
Warrington
S
,
Davies
R
,
Bonnemain
B
. 
Gd-DOTA. Pharmacokinetics and tolerability after intravenous injection into healthy volunteers
.
Invest Radiol
1990
;
25
:
933
7
.
37.
Blumenthal
RD
,
Fand
I
,
Sharkey
RM
,
Boerman
OC
,
Kashi
R
,
Goldenberg
DM
. 
The effect of antibody protein dose on the uniformity of tumor distribution of radioantibodies: an autoradiographic study
.
Cancer Immunol Immunother
1991
;
33
:
351
8
.
38.
Sharkey
RM
,
Karacay
H
,
Johnson
CR
,
Litwin
S
,
Rossi
EA
,
McBride
WJ
, et al
Pretargeted versus directly targeted radioimmunotherapy combined with anti-CD20 antibody consolidation therapy of non-Hodgkin lymphoma
.
J Nucl Med
2009
;
50
:
444
53
.
39.
Sharkey
RM
,
Cardillo
TM
,
Rossi
EA
,
Chang
CH
,
Karacay
H
,
McBride
WJ
, et al
Signal amplification in molecular imaging by pretargeting a multivalent, bispecific antibody
.
Nat Med
2005
;
11
:
1250
5
.
40.
Sharkey
RM
,
Karacay
H
,
Vallabhajosula
S
,
McBride
WJ
,
Rossi
EA
,
Chang
CH
, et al
Metastatic human colonic carcinoma: molecular imaging with pretargeted SPECT and PET in a mouse model
.
Radiology
2008
;
246
:
497
507
.