Abstract
Monoclonal antibodies and their fragments have significantly changed the outcome of cancer in the clinic, effectively inhibiting tumor cell proliferation, triggering antibody-dependent immune effector cell activation and complement mediated cell death. Along with a continued expansion in number, diversity, and complexity of validated tumor targets there is an increasing focus on engineering recombinant antibody fragments for lead development. Single-domain antibodies (sdAbs), in particular those engineered from the variable heavy-chain fragment (VHH gene) found in Camelidae heavy-chain antibodies (or IgG2 and IgG3), are the smallest fragments that retain the full antigen-binding capacity of the antibody with advantageous properties as drugs. For similar reasons, growing attention is being paid to the yet smaller variable heavy chain new antigen receptor (VNAR) fragments found in Squalidae. sdAbs have been selected, mostly from immune VHH libraries, to inhibit or modulate enzyme activity, bind soluble factors, internalize cell membrane receptors, or block cytoplasmic targets. This succinct review is a compilation of recent data documenting the application of engineered, recombinant sdAb in the clinic as epitope recognition “modules” to build monomeric, dimeric and multimeric ligands that target, tag and stall solid tumor growth in vivo. Size, affinity, specificity, and the development profile of sdAbs drugs are seemingly consistent with desirable clinical efficacy and safety requirements. But the hepatotoxicity of the tetrameric anti-DR5-VHH drug in patients with pre-existing anti-drug antibodies halted the phase I clinical trial and called for a thorough pre-screening of the immune and poly-specific reactivities of the sdAb leads.
Keywords: camelid heavy-chain antibody, drug-like properties, bioavailability, immunogenicity, broad epitope coverage, poly-specificity
Introduction
The success of monoclonal antibodies (mAbs) in cancer therapy is driven by the overall efficacy of targeted therapies. The rate of approval of recombinant mAbs continues to outperform that of small molecules in all indications and in particular for the treatment of cancer (1, 2). However, a recent rate of advancement of antitumor candidate leads from preclinical to clinical trial was estimated to be only 20% (3). One approach to improving this success rate is to focus early on a set of characteristics termed “developability” based on high-throughput qualification tests applicable to mAb hits for a particular target. Two “developability” issues impacting candidate bioavailability are off-target binding and aggregation that can also result in toxicity and immune-reactivity. A candidate with a favorable profile is more likely to emerge from a large set of hits with a broad epitope coverage, by screening out off-target reactive mAbs (4) and guaranteeing “manufacturability,” or stability and solubility, of the lead candidate early in the pipeline (5–8). Camel and shark serum have provided a source of versatile antibody therapeutics with good “developability” and “manufacturability” prospects (6, 9–11). Most recombinant, variable heavy-chain (or VHH) single domains from homodimeric IgG2 and IgG3 found in camelids and VNAR of the so-called Ig new antigen receptor of sharks display higher solubility (above 1 mg/mL) and rapid refolding after temperature or chemical denaturation in comparison with the heterodimeric VL–VH domains in a Fab fragment (Figure 1A) (12, 13). VHH expression yield, whether in the periplasm of Escherichia coli or the cytoplasm of eukaryotic cells is high. Sequence identity of the VNAR domain with canonical human VH falls as low as 25%, while known camelid VHH domains are distinctly close to human VH3 germline sequences and a source of easily humanized single-domain antibody (sdAb) drugs (10, 14–16). In addition, services such as Hybribody, a platform from Hybrigenics for the selection and validation of antibodies derived from a fully synthetic humanized sdAb library displayed on phage, can supply humanized sdAbs to specific targets (Table 1, item 3) (17). The immunogenicity of humanized sdAbs may be erroneously overlooked yet it is tested in phase I clinical trials (18). The antigen-specific combining sites may be immunogenic providing sufficient justification for the early use of immunogenicity-screening platforms (19). The detection of anti-drug antibodies (ADA) using highly sensitive ELISAs at Ablynx revealed the benefit of mutating sdAb residues in hydrophobic patches at the C-terminus of VH of single-chain variable fragment (scFv) and VHH fragments, shielded by the CH domains in the original structure (20, 21).
Table 1.
Servicesa | Applied technologies | Proposed clinical benefit | Service providerb |
---|---|---|---|
1. Customizing sdAb engineering | Immune, naïve, and synthetic/humanized libraries phage display, bacterial display, intrabody library services, VHH production (45) | sdAb innovative binder formats, systems biology and target validation tools (46) | GenScript; Creative BioLabs; Lampire Biological Laboratories; Capralogics, Inc.; ProSci, Inc.; Hybrigenics Coporation, Allele Biotechnology and Pharmaceuticals, Inc.; Qoolabs, Inc.; Abcore Inc.; QVQ Holding BV; Rockland Immunochemicals, Inc. |
Pipeline construction (47) | |||
2. Optimizing sdAb lead candidate selection | Epitope binning and optimum epitope coverage antibodies and sdAb, tested in a pairwise combinatorial manner (8) | Multiple epitope bins reflect functional diversity, support oligoclonal therapy or the simultaneous targeting of biological pathways; watch for off-target binding (48) | Carterra, Inc.; Creative BioLabs |
3. Humanizing and screening sequences to diminish sdAb immunogenicity | sdAbs humanization (15, 45) and Identification of potential immunogenic sequences (21) | lower sdAb immunogenicity | GlobalBio, Inc.; Creative BioLabs; Hybrigenics Coporation; EpiVax, Inc. |
4. Tailoring the sdAb in vivo half-life | Half-life optimization in circulation (49); Nanobody®-based half-life extension technology | Ozoralizumab, a next-generation bivalent tumor necrosis factor alpha (TNFα) blocker linked to a low-affinity albumin-binding domain | Ablynx; Eddingpharm |
Applicationsc | Targeted tumor antigens | Clinical trials | Developerb |
5. Overcoming monoclonal antibody limitations by targeting inaccessible and intracellular tumor antigens | CapG (50), non-endocytic co-transport and cytoplasmic translocation (51), DR5 (52), dynamic transformation (53), Glioblastoma (54), CA9/CAIX activity (55), p53–HDM2 disruption (56), mesothelin (57) | not initiated or halted | Novartis; ProSci Inc.; Hybrigenics Services; QVQ Holding BV |
6. Selecting proficient probes for molecular imaging | 131I-SGMIB Anti-HER2 sdAb | Phase I, CAM-VHH1 Study NCT02683083 | Camel-IDS NV, TBM programd (social, non-profit organization), QVQ holding BV |
68Ga-HER2-sdAb (near infrared) probes in sentinel lymph node detection or residual tumor tissue (58) | Phase II PET/CT. Clinical Trial II | ||
7. Targeting known tumor antigens | Epithelial growth factor receptor (59), carcinoembryonic antigen (60), prostate-specific membrane antigen, anti-VEGF/Ang2 (BI 836880 Nb®), anti-RANKL (ALX-0141 Nb®), TNFα, ADAMTS5 | Phase I, Boehringer Ingelheim, anti-VEGF/Ang2 Nb®, safety in cancer patients | Ablynx/Merk; Boehringer Ingelheim; Eddingpharm, clinical development, registration and commercialization in Greater China of anti-RANKL Nb® and ozoralizumab; Merk KGaA |
Phase I, Ablynx (ALX-0141 Nb®) safety and pharmacokinetic study | |||
Anti-ADAMTS5, M6495 Nb® Interventional, Merk KGaG in healthy volunteers. NCT03224702 | |||
8. Targeting immune checkpoints | PD-L1 (61), CD47/SIRP α axis (62, 63), glucocorticoid-induced TNFR-related protein | Early Phase I, 99mTc labeled anti-PD-L1 sdAb for diagnostic imaging of non-small cell lung cancer. Pending. NCT02978196 | Merck & Co.; Merck KGaA; Ablynx |
9. Testing molecular mimicry, including anti-idiotypes and abzymes | Ab2 abzymes with alliinase activities (64), self-diversifying antibody library platform (SDALib) | New drug diacovery using Abzyme’s yeast-based camelid single domain VHH antibody library with self-diversifying ability, to generate VHH antibodies against cancer-related target isoforms | Abzyme Therapeutics, LLC and Ibex BioSciences, LLC partnership |
aServices that support sdAb generation and lead candidates screening.
bSearch business firm information with preferred online engine.
cApplications that may broaden the range of tumor targeting lead candidate.
The VHH repertoire is as complex in sequence diversity as is the IgG1 VH camelid counterpart (65–67). Total peripheral blood lymphocytes and lymph node ribonucleic acid (RNA) from alpaca, llamas, dromedaries, and camels are easily extracted to build recombinant VHH libraries. Typically, a VHH phage display library containing 6 × 107 VHHs clones are generated from 200 µg processed RNA and diverse polymerase chain reaction strategies are available to amplify VHH gene fragments from lymphocyte complementary deoxyribonucleic acid (68, 69). Several reports have confirmed the ease of engineering sdAbs (69, 70) and of selecting specific binders against conformational epitopes in comparison with hit selection of scFv, where library construction shuffles their immune specificity (68, 71, 72).
Two or three VHHs have been combined in a single polypeptide chain to express single, dual, or multimeric specificities without compromising folding or the binding affinities (22, 73). In addition, “self-associating peptide” constructs have been designed to match VHH pairs (69, 74). Concomitantly, the experience gained in site-specific conjugations, in particular those driven by targeted enzymatic reactions, has ensured the preservation of antigen-binding properties of sdAbs (31, 75). The reported affinities of VHH fragments fall in the nanomolar to picomolar range, with binding kinetics comparable to those of conventional antibodies. Selection of stable antigen complexes is often the result of applying selection pressures, such as stringent washing, that enrich a library in VHH with slower off-rates while competitive elution was reported in selecting fragments with novel epitope targeting (70, 76–79). VHH genes are an established source of antibodies, as evidenced by the number of reported co-crystal structures (68, 80–82). Figure 1A highlights hallmark VHH residues and, when present, an inter-CDR disulfide bond in the VHH sequence. Around 10% of HcAbs lack these hydrophobic residues mutation but often show longer CDR3 covering putative VL contacts or a hydrophilic substitution of Trp118. Gonzalez-Sapienza et al. suggested a plausible mechanism of selection of HcAb producing B-cells that supports the emergence of independently folding, soluble VH and VHH domains (72).
Distinctive Properties of sdAbs
The ease of selecting sdAb under denaturing conditions has assisted in the isolation of “superstable” species with improved resistance to proteases that were proposed as antimicrobial therapeutics of oral intake (83, 84). Li et al. have successfully selected VHH expression products with a high isoelectric point (pI) that spontaneously crossed the blood–brain barrier (transcytosis) (30). High-pI sdAb have been found to penetrate cells and bind to intracellular proteins. For instance, a sdAb that bound specifically to the hepatitis C virus (HCV) protease, selected for its ability to penetrate cells (transbodies), interfered with heterologous HCV replication (15). A sdAb-based anti-β-catenin intrabody was expressed and folded in the cytoplasm retaining its ability to bind to β-catenin (85).
The solvent accessible surface (SAS) area of antigen-VHH and VNAR complexes are comparable to antigen–VH–VL complex SAS indicating that complementarity domain region (CDR) loops involved in antigen binding (Figure 1A) contribute similar surface contacts. VHH H1 and H3 loops connecting the β-sheets of the VHH domain are flexible, sometimes longer and packed in a less compact fashion compared to canonical VH of murine and human immunoglobin G (IgGs) (10, 86). Co-crystal structures of enzyme-VHH and -VNAR complexes showed CDRs that often protruded into the active-site cleft and the derived sdAbs were later shown to inhibit catalysis (65, 66, 87, 88). Alternatively, sdAbs have been selected to stabilize “drugable” targets that display multiple conformations (or conformational plasticity) (79, 82). For example, the urokinase-type plasminogen activator (uPA) from the trypsin-like serine protease family, a target involved in metastasis, is known to adopt high and low activity conformations. Selection of sdAbs against mouse uPA yielded both a catalytic-site inhibitor and an allosteric ligand. Crystal structures of the uPA sdAb complexes revealed high and low activity determinants that provided clues of therapeutic value on the regulatory determinants of uPA and of trypsin-like serine proteases in general (89). Table 1 documents the pharmaceutical relevance of sdAbs through the number of research and development companies involved in novel sdAb generation, available contract services, lead candidates under clinical trial, and examples of the sdAbs more recently generated against cancer targets.
sdAbs in Imaging Applications for Cancer Diagnostics
Molecular imaging techniques, of widespread use in the clinic, allow the non-invasive quantitation and visualization of tumors in vivo and sdAbs have become promising, small-sized, high-affinity tracers (58, 90–92) (Figure 1B). Nuclear imaging probes associated to sdAbs have been evaluated in both single-photon emission computed tomography (SPECT) and positron emission tomography (PET) (90, 93) (Table 1, item 6). The most advanced sdAb under clinical evaluation is the 68Ga-labeled anti-HER2 sdAb 2Rs15d probe, developed to screen candidates who qualify for treatment with an anti-HER2 therapeutics. A phase I study resulted in high-quality images without adverse reactions and retained 10% of injected activity in blood after 1 h (94). A phase II trial was launched to correlate tumor uptake with HER2 levels in biopsies of 160 metastatic breast carcinoma patients (Table 1, item 6). In other studies, 2Rs15d labeled with the prosthetic group N-succinimidyl-4-[18F] fluorobenzoate ([18F]-SFB) was validated in preclinical models to advance PET imaging (95). The specific uptake of the sdAb 2Rs15d probe in HER2-positive tumor xenografts showed high tumor-to-blood and tumor-to-muscle ratios, high contrast PET imaging and fast renal clearance (4% intra auricular/g at 3 h post injection.). The lead candidate MSB0010853, a biparatopic sdAb labeled with 89Zr bound efficiently to HER3 kinase, a potential clinical target associated with resistance to epithelial growth factor receptor (EGFR) and HER2 targeted therapies (96, 97).
Organometallic radiopharmaceuticals are also widely used in diagnosis with SPECT imaging. sdAbs that target either EGFR (98), VCAM1, an 8-kDa fragment of gelsolin or carcinoembryonic antigen (CEA) have been conjugated with 99mTc (99). Recently, an anti-PD-L1 sdAb labeled with 99mTc discriminated wild type mice from PD-L1 knock-out mice by SPECT/CT imaging (100). sdAbs used as fluorescence-guided near-infrared wavelength range (NIR) probes are also under preclinical studies addressing sentinel lymph node imaging quality and guiding surgical/endoscopic removal of residual tumor tissue (101). NIR probes, IRDye800CW or IRDye680RD, were conjugated either by lysines or C-terminal cysteine to the 7D12 anti-EGFR sdAb. After IR dye conjugation, comparable specificities and affinities of 7D12 and the conjugate were measured toward EGFR in vitro (58, 102). This study also showed an accumulation of the cysteine-conjugated 7D12 in A431 human tumor xenografts in nude mice or high tumor-to-muscle ratio.
The ultrasound imaging of vessel cell adhesion protein 1 (VCAM1), using specific sdAbs coupled to lipid microbubbles as contrast enhancers, is used to assess potential adhesion sites of melanoma cell extravasation and metastasis (75). Although sdAbs are promising imaging probes renal retention during clearance and toxicity were reported in preclinical studies. Adverse effects were attributed to the polar residue number favoring the interaction with the megalin/cubilin system in the renal tubuli (103). This issue was overcome by mutating positive residues, facilitating filtration at the negatively charged glomerular membrane (104). Toxicity was also controlled by gelofusine or lysine added to the probe (103, 105).
sdAb Against Tumor Targets for Clinical Use
Single-domain antibodies that bind either hepatocyte growth factor, EGFR, bone morphogenetic protein (TGFb superfamily growth factors), HER2, cMET, or VEGFR1, have been shown to efficiently block tumor cell proliferation (81, 106–109). Zhang et al. (61) have recently shown that KN035, an anti-PD-L1 sdAb, can induce T-cell responses and inhibit tumor growth; the KN035 CDRs structure is remarkably similar to that of the VH of Federal Drug Administration-approved Durvalumab (110). Other sdAbs were developed to target uPA, and chemokine receptors such as CXCR4 and CXCR7 (111). More recently, sdAbs targeting antioxidant enzymes such as membrane catalase and superoxide dismutase were selected for their ability to induce reactive oxygen species-dependent cancer cell apoptosis and found to be synergetic to chemotherapy (112).
Single-domain antibodies modules have been engineered into multivalent structures to overcome fast clearance. The anti-DR5 sdAb tetramer showed excellent pharmacokinetics and efficacy in preclinical models, inducing robust antitumor responses and sustained caspase activation in vivo. However, in the phase I trial an unexpected hepatotoxicity which triggered hepatocyte apoptosis, later associated to the immune crosslinking of the tetramer in those patients with pre-existing ADA, prompted its discontinuation (113). A bifunctional sdAb, targeting EGFR and TRAIL, inhibits the growth of different tumor cell types that were not responsive to either EGFR-antagonist or death receptor-agonist monotherapies is a clear step forward of the clinical application of sdAb modules (23). To improve the efficacy of a bifunctional therapeutic, the MaAbNA-PEG2000-ADM chimera consisting of an anti-EGFR1 sdAb linked to two anti-HER2 affibodies was conjugated with Adriamycin (114). The bispecific sdAb chimera recognizing CEA and antigen cluster of differentiation 16 (CD16) (NK-cell marker) was linked to a mutated human IgG1 Fc-fragment that equipped the dimer with an effector function (115). The bispecific antibody HER2-S-Fab, an anti-CD16 sdAb that is linked to a anti-trastuzumab Fab, also exhibited a potent tumor growth inhibition in a human tumor xenografts model (29). A multivalent, sdAb-based, in-tandem trimer was capable of simultaneously binding to CEA, EGFR, and green fluorescence protein with high efficacy for inhibition of human epidermoid carcinoma A431 cell proliferation (26). An interesting approach to increase the half-life of sdAbs without affecting the affinity for its target was the fusion between an anti-TNFα sdAb with an albumin-binding domain derived from Streptococcus zooepidemicus (~39-fold half-life increase with respect to the sdAb alone, Table 1, item 4) (28).
Targeting tumors with ionizing radiation is also a promising area for growth for sdAb therapeutics. The most relevant in vivo study demonstrated that i.v. administration of the sdAb anti-HER2 labeled with 177Lu, a γ-emission radionuclide, completely prevented tumor growth in mice with small HER2-positive tumors (32). The α-emitting radionuclides 213Bi and 211At coupled to sdAbs are tentatively used to treat minimal residual disease and micro-metastasis and their clinical application is being intensely explored (116).
Emerging Drug-Delivery Strategies That Use sdAbs
To improve solid tumor penetration an EGFR-targeted sdAb was fused to an iRGD, a cyclic domain selective of αvβ3 and αvβ5 integrins that carries a CendR motif that binds neuropilin 1 (NRP-1) (117). The efficacy of this construct was measured in BGC-823 multicellular spheroids that overexpress EGFR, NRP-1, and integrins. The anti-EGFRsdAb-iRGD showed better performance in reducing spheroid size than anti-EGFRsdAb or cetuximab. In vivo, anti-EGFRsdAb-iRGD-FITC was shown to bind to αvβ3 and αvβ5 expressed in the tumor vessels, malignant cells, and cancer-associated stromal cells, penetrating further than the anti-EGFR-FITC (27). Recently, anti-EGFRsdAb-iRGD was conjugated to silk fibroin nanoparticles loaded with paclitaxel, resulting in a significant anti-neoplastic activity in EGFR-expressing cells in vitro and in vivo (41).
Single-domain antibody has been successfully used to retarget oncolytic adenovirus to a non-cognate receptor following the incorporation of an anti-CEA sdAb into the adenovirus capsid fiber (Figure 1B). This modification was shown to control viral tropism, entry, and gene transfer specifically in CEA-overexpressing cells (36, 118). sdAb displayed on genetically engineering phage combined with target drugs or imaging probes has recently been proposed for preclinical evaluation (43, 119).
Single-domain antibodies have been used to retarget nanoparticles with particular diagnostic or therapeutic properties (120, 121). Branched gold nanoparticles functionalized with an anti-prostate-specific antigen sdAb were shown to destroy cancer cells in response to laser irradiation in a preclinical model of photothermal therapy (37). Pegylated liposomes, schematized in Figure 1B, may be re-directed away from the reticuloenthoelial system by coupled sdAbs and are under preclinical evaluation as drug nanocarriers (39, 40). A novel potent delivery system based on extracellular vesicles (EVs) has recently been described where an anti-EGFR sdAb was anchored on the surface of EVs via glycosylphosphatidylinositol signal peptides derived from the decay-accelerating factor significantly improving EV targeting (42).
Platforms for the Generation of New sdAbs
Epitope recognition and coverage appear to be dependent on immune-selection pressure of VH and VHH sequences in vivo and by the library diversity (122, 123). To amplify antigenic epitope coverage, naïve and semi-synthetic libraries are being promoted to amplify antigen epitope coverage often limited by B-cell IgG amplification in vivo. Low affinities may be matured or optimized as required. sdAb discovery may now count on high-throughput, high-resolution broad epitope coverage analysis and poly-specificity and affinity screening tools to increase the likelihood of selecting sdAbs with the desired therapeutic functions (Table 1, item 2) as well as to discriminate between functional sdAbs, such as those that can trigger receptor internalization (124) and polyreactive leads (8).
Three novel VHH library presentation and selection platforms have been recently proposed for a high-throughput selection of sdAb to integral membrane tumor antigens, or proteins overexpressed on the surface of whole cells or on virus-like particles (70, 123). Two of the platforms were designed to identify binders to antigen diluted in lysates or in complex mixtures for the discovery of sdAbs that bind critical pathway targets (78, 125). Rosotti et al. reported high throughput, parallel selection and characterization strategies to identify phage-displayed sdAbs against receptors expressed on murine bone marrow-derived dendritic cells (123). As a result of en masse cloning and whole-cell screening, the in vivo biotinylation of selected VHH facilitated the identification of targets. The isolated VHH were effectively mapped, or binned, by epitope, and target coverage was recorded [also see Ref. (126), Table 1, item 2].
Salema and Fernandez optimized the display of VHH on Gram-negative E. coli, and the direct expression of selected VHH clones, by anchoring the expression product on the outer membrane by fusing to the N-terminal, intimin β-domain (Neae) (78, 127, 128). High-affinity clone selection was optimized by magnetic cell sorting on immobilized recombinant biotinylated antigen (MACS) or by flow cytometry on whole cells (CellS) (78).
A third sdAb selection platform was presented by Cavallari using a Gram-positive Staphylococcal (Staphylococcus aureus) display of sdAb (125). Here, VHH clones were engineered with the signal peptide from staphylococcal enterotoxin B, with the sortase A (SrtA) LPXTG motif, to display folded VHH on the surface. Endogenous SrtA covalently, and irreversibly, coupled expressed sdAb on the outer membrane. A nucleophilic attack of the SrtA sdAb-acyl intermediate by polyglycine nucleophile-biotin was used to release and biotinylate selected VHH clones. The major advantages of bacterial display were the efficiency of selection as reflected by a high “hit” frequency, or high frequency of success, in comparison to hit selection by phage display, and minimum avidity. Also attractive is the choice of evaluating selected sdAbs by flow cytometry or in SPR binding assays directly enabling screening sdAbs by epitope and a discrimination of poly-specificity in a high-throughput mode (78, 128).
Concluding Remarks
Single-domain antibodies are soluble, stable, recombinant proteins that fold independently and display an outstanding versatility. The hardware-building concept of “plug and play” appears as an excellent paradigm in which sdAbs are part of a therapeutics generation tool kit that includes engineered recombinant sdAbs, radionuclides, dyes, peptides, proteins, nanostructures, phage, and virus.
Currently, 20–25% of the mAbs in clinical development for cancer and non-cancer indications are recombinant human antibodies derived from phage display libraries or from transgenic mice. Five antibody “fragments” (scFv) were reported in clinical phase 2/3 this past year. These include a human scFv-doxorubicin loaded liposome; two scFv conjugates, a humanized anti-EpCAM scFv-immunotoxin conjugate; and an anti-fibronectin extra-domain B human scFv for cancer indications.
The unexpected toxicity of the anti-DR5 tetramer, TAS266, opened the question of pre-existing immunity against sdAb. This issue has been addressed by developing sensitive immune serum assays and immunogenicity-screening platforms (Table 1, item 3, EpiVax) to identify the safer lead candidates, helping reduce the risk of clinical trial failure of sdAb-based drugs. The promise of recombinant, engineered, antibody-based building modules with optimal efficacy and biovailability may soon translate into tangible cancer drugs.
Author Contributions
MI, LP, SW, OP, and GC: conception, design, and writing of the review manuscript.
Conflict of Interest Statement
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Acknowledgments
The authors acknowledge Yasmina Abdiche, Ph.D., Ann Rux, Ph.D., and John Rux, Ph.D. for the insightful critique of the manuscript. The authors recognize the assistance of Dr. Monica Perez, Director of the Cardini Library at Fundacion Instituto Leloir for facilitating our searches and in managing our information resources.
Footnotes
Funding. MI, LP, OP, and GC are members of Consejo Nacional de Investigaciones Cientificas y Tecnologicas (CONICET), Argentina. This work was supported by grants from CONICET, Fondo Argentino Sectorial (FONARSEC), Agencia Nacional de Promoción Científica y Tecnológica (ANPCyT), Instituto Nacional del Cáncer, Ministerio de Salud de la Nación Argentina (INC-MSal), and Fundación Florencio Fiorini.
Abbreviations
A431, epidermoid carcinoma cell line; Abzyme, an antibody with catalytic activity, binding a chemical group and stabilizing the transition state of a given reaction; ADA, anti-drug antibody; ADAMTS5, a disintegrin and metalloproteinase with thrombospondin motifs; ADM, Adriamycin; BMCD, bone marrow culture-derived macrophages; BMP, bone morphogenetic protein; CA9/CAIX, carbonic anhydrase IX encoded by the CA9 gene; CD47/SIRP α axis, cluster of differentiation 47 and the myeloid inhibitory immunoreceptor signal regulatory protein α signaling axis; CapG, macrophage capping protein oncogene; CD16, cluster of differentiation 16, a low-affinity Fc receptor; CDR, complementarity determining region or antigen-binding domain; CendR, C-end rule motif R/KXXR/K; CEA, carcinoembryonic antigen; cDNA, complementary deoxyribonucleic acid; cMET, tyrosine-protein kinase Met or hepatocyte growth factor receptor (HGFR); CXCR4, fusin or CD184; CXCR7, atypical chemokine receptor 3 or GPCR 159; DAF, decay-accelerating factor; DR5, death receptor 5 of the TNF receptor superfamily (TNFRSF) 5; EGFR, epidermal growth factos receptor, a membrane tyrosine kinase; EpCAM, epithelial cell adhesion molecule or TROP1; EV, extracellular vesicle; Fab, immunoglobulin antigen-binding fragment composed of one constant and one variable domain of each of the heavy and the light chain; Fc, fragment crystallizable region of Ig; FDA, Federal Drug Administration; FR, framework region is a subdivision of the mAb variable region; FTCI, fluorescein isothiocyanate; GFP, green fluorescence protein; GITR, glucocorticoid-induced TNFR-related protein; GPI-DAF, glycosylphosphatidylinositol-anchored decay-accelerating factor; HcAbs, heavy-chain antibodies; HCV, hepatitis C virus; HER2, human epidermal growth factor receptor 2/neu tyrosine kinase, erbB-2; HER3, human epidermal growth factor receptor tyrosine-protein kinase erbB-3; HGF, hepatocyte growth factor; IA, intra auricular; IgG, immunoglobin G; IgNAR, Ig new antigen receptor; IR, infrared; 131I-SGMIB, iodine-131- labelled N-succinimidyl 4-guanidinomethyl-3-iodobenzoate; iRGF, 9-amino acid cyclic peptide (sequence: CRGDKGPDC) binding tumor cells; i.v., intra venous; mAb, monoclonal antibody; Neae, N-terminal fragment of enterohemorrhagic E. coli intimin; NIR, near infrared; NRP-1, neuropilin 1; PBL, peripheral blood lymphocytes; PCR, polymerase chain reaction; PEG2000, poly(ethylene glycol) methyl ether, average Mw 2,000; PD-L1, Programmed death-ligand 1, CD274; p.i., post injection; pI, isoelectric point; PSA, Prostate-specific antigen; PSMA, prostate-specific membrane antigen; p53-HDM2, functional p53 and human double minute 2 interaction; SAS, solvent accessible surface; scFv, Single-chain variable fragment; sdAb, single-domain antibody fragment; SPECT, single-photon emission computed tomography; SPECT/CT, image fusion for anatomic imaging (CT or MRI) and functional imaging (SPECT) computed tomographies; SrtA, sortase A; RANKL, receptor activator of nuclear factor kappa-B ligand; RNA, ribonucleic acid; TNFα, tumor necrosis factor alpha; uPA, urokinase-type plasminogen activator; VCAM1, vascular cell adhesion protein 1; VEGF/Ang2, vascular endothelial factor/angiopoietin-2; VEGFR1, vascular endothelial growth factor receptor 1; VHH, heavy-chain only antibody fragment or nanobody; VH and VL, variable heavy and light chain domains from conventional IgG structures; VNAR, variable new antigen receptor single domain.
References
- 1.Hay M, Thomas DW, Craighead JL, Economides C, Rosenthal J. Clinical development success rates for investigational drugs. Nat Biotechnol (2014) 32(1):40–51. 10.1038/nbt.2786 [DOI] [PubMed] [Google Scholar]
- 2.Reichert JM. Antibodies to watch in 2017. MAbs (2017) 9(2):167–81. 10.1080/19420862.2016.1269580 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Booth B. Human Antibody Discovery: Of Mice and Phage. Forbes; (2017). Available from: https://www.forbes.com/sites/brucebooth/2017/05/11/human-antibody-discovery-of-mice-and-phage/-277cbb0c7f26 [Google Scholar]
- 4.LaBute MX, Zhang X, Lenderman J, Bennion BJ, Wong SE, Lightstone FC. Adverse drug reaction prediction using scores produced by large-scale drug-protein target docking on high-performance computing machines. PLoS One (2014) 9(9):e106298. 10.1371/journal.pone.0106298 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.De Genst E, Messer A, Dobson CM. Antibodies and protein misfolding: from structural research tools to therapeutic strategies. Biochim Biophys Acta (2014) 1844(11):1907–19. 10.1016/j.bbapap.2014.08.016 [DOI] [PubMed] [Google Scholar]
- 6.Jain T, Sun T, Durand S, Hall A, Houston NR, Nett JH, et al. Biophysical properties of the clinical-stage antibody landscape. Proc Natl Acad Sci U S A (2017) 114(5):944–9. 10.1073/pnas.1616408114 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Kaelin WG, Jr. Common pitfalls in preclinical cancer target validation. Nat Rev Cancer (2017) 17(7):425–40. 10.1038/nrc.2017.32 [DOI] [PubMed] [Google Scholar]
- 8.Sivasubramanian A, Estep P, Lynaugh H, Yu Y, Miles A, Eckman J, et al. Broad epitope coverage of a human in vitro antibody library. MAbs (2017) 9(1):29–42. 10.1080/19420862.2016.1246096 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Hamers-Casterman C, Atarhouch T, Muyldermans S, Robinson G, Hamers C, Songa EB, et al. Naturally occurring antibodies devoid of light chains. Nature (1993) 363(6428):446–8. 10.1038/363446a0 [DOI] [PubMed] [Google Scholar]
- 10.Finlay WJ, Almagro JC. Natural and man-made V-gene repertoires for antibody discovery. Front Immunol (2012) 3:342. 10.3389/fimmu.2012.00342 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Ahmadvand D, Rasaee MJ, Rahbarizadeh F, Kontermann RE, Sheikholislami F. Cell selection and characterization of a novel human endothelial cell specific nanobody. Mol Immunol (2009) 46(8–9):1814–23. 10.1016/j.molimm.2009.01.021 [DOI] [PubMed] [Google Scholar]
- 12.Jespers L, Schon O, Famm K, Winter G. Aggregation-resistant domain antibodies selected on phage by heat denaturation. Nat Biotechnol (2004) 22(9):1161–5. 10.1038/nbt1000 [DOI] [PubMed] [Google Scholar]
- 13.Feige MJ, Grawert MA, Marcinowski M, Hennig J, Behnke J, Auslander D, et al. The structural analysis of shark IgNAR antibodies reveals evolutionary principles of immunoglobulins. Proc Natl Acad Sci U S A (2014) 111(22):8155–60. 10.1073/pnas.1321502111 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Vincke C, Loris R, Saerens D, Martinez-Rodriguez S, Muyldermans S, Conrath K. General strategy to humanize a camelid single-domain antibody and identification of a universal humanized nanobody scaffold. J Biol Chem (2009) 284(5):3273–84. 10.1074/jbc.M806889200 [DOI] [PubMed] [Google Scholar]
- 15.Jittavisutthikul S, Thanongsaksrikul J, Thueng-In K, Chulanetra M, Srimanote P, Seesuay W, et al. Humanized-VHH transbodies that inhibit HCV protease and replication. Viruses (2015) 7(4):2030–56. 10.3390/v7042030 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Yu Y, Li J, Zhu X, Tang X, Bao Y, Sun X, et al. Humanized CD7 nanobody-based immunotoxins exhibit promising anti-T-cell acute lymphoblastic leukemia potential. Int J Nanomedicine (2017) 12:1969–83. 10.2147/IJN.S127575 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Olichon A, Moutel S, Perez F. Synthetic Single Domain Antibody. Google patents (2016).
- 18.Brennan FR, Morton LD, Spindeldreher S, Kiessling A, Allenspach R, Hey A, et al. Safety and immunotoxicity assessment of immunomodulatory monoclonal antibodies. MAbs (2010) 2(3):233–55. 10.4161/mabs.2.3.11782 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Wadhwa M, Knezevic I, Kang HN, Thorpe R. Immunogenicity assessment of biotherapeutic products: an overview of assays and their utility. Biologicals (2015) 43(5):298–306. 10.1016/j.biologicals.2015.06.004 [DOI] [PubMed] [Google Scholar]
- 20.Nieba L, Honegger A, Krebber C, Pluckthun A. Disrupting the hydrophobic patches at the antibody variable/constant domain interface: improved in vivo folding and physical characterization of an engineered scFv fragment. Protein Eng (1997) 10(4):435–44. 10.1093/protein/10.4.435 [DOI] [PubMed] [Google Scholar]
- 21.Harmsen MM, Ruuls RC, Nijman IJ, Niewold TA, Frenken LG, de Geus B. Llama heavy-chain V regions consist of at least four distinct subfamilies revealing novel sequence features. Mol Immunol (2000) 37(10):579–90. 10.1016/S0161-5890(00)00081-X [DOI] [PubMed] [Google Scholar]
- 22.Brinkmann U, Kontermann RE. The making of bispecific antibodies. MAbs (2017) 9(2):182–212. 10.1080/19420862.2016.1268307 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Zhu Y, Bassoff N, Reinshagen C, Bhere D, Nowicki MO, Lawler SE, et al. Bi-specific molecule against EGFR and death receptors simultaneously targets proliferation and death pathways in tumors. Sci Rep (2017) 7(1):2602. 10.1038/s41598-017-02483-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Nosenko MA, Atretkhany KN, Mokhonov VV, Efimov GA, Kruglov AA, Tillib SV, et al. VHH-based bispecific antibodies targeting cytokine production. Front Immunol (2017) 8:1073. 10.3389/fimmu.2017.01073 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Zhu X, Wang L, Liu R, Flutter B, Li S, Ding J, et al. COMBODY: one-domain antibody multimer with improved avidity. Immunol Cell Biol (2010) 88(6):667–75. 10.1038/icb.2010.21 [DOI] [PubMed] [Google Scholar]
- 26.Alvarez-Cienfuegos A, Nunez-Prado N, Compte M, Cuesta AM, Blanco-Toribio A, Harwood SL, et al. Intramolecular trimerization, a novel strategy for making multispecific antibodies with controlled orientation of the antigen binding domains. Sci Rep (2016) 6:28643. 10.1038/srep28643 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Sha H, Zou Z, Xin K, Bian X, Cai X, Lu W, et al. Tumor-penetrating peptide fused EGFR single-domain antibody enhances cancer drug penetration into 3D multicellular spheroids and facilitates effective gastric cancer therapy. J Control Release (2015) 200:188–200. 10.1016/j.jconrel.2014.12.039 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Cantante C, Lourenco S, Morais M, Leandro J, Gano L, Silva N, et al. Albumin-binding domain from Streptococcus zooepidemicus protein Zag as a novel strategy to improve the half-life of therapeutic proteins. J Biotechnol (2017) 253:23–33. 10.1016/j.jbiotec.2017.05.017 [DOI] [PubMed] [Google Scholar]
- 29.Li A, Xing J, Li L, Zhou C, Dong B, He P, et al. A single-domain antibody-linked Fab bispecific antibody Her2-S-Fab has potent cytotoxicity against Her2-expressing tumor cells. AMB Express (2016) 6(1):32. 10.1186/s13568-016-0201-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Li T, Bourgeois JP, Celli S, Glacial F, Le Sourd AM, Mecheri S, et al. Cell-penetrating anti-GFAP VHH and corresponding fluorescent fusion protein VHH-GFP spontaneously cross the blood-brain barrier and specifically recognize astrocytes: application to brain imaging. FASEB J (2012) 26(10):3969–79. 10.1096/fj.11-201384 [DOI] [PubMed] [Google Scholar]
- 31.Rashidian M, Wang L, Edens JG, Jacobsen JT, Hossain I, Wang Q, et al. Enzyme-mediated modification of single-domain antibodies for imaging modalities with different characteristics. Angew Chem Int Ed Engl (2016) 55(2):528–33. 10.1002/anie.201507596 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.D’Huyvetter M, Vincke C, Xavier C, Aerts A, Impens N, Baatout S, et al. Targeted radionuclide therapy with A 177Lu-labeled anti-HER2 nanobody. Theranostics (2014) 4(7):708–20. 10.7150/thno.8156 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Behdani M, Zeinali S, Karimipour M, Khanahmad H, Schoonooghe S, Aslemarz A, et al. Development of VEGFR2-specific nanobody Pseudomonas exotoxin A conjugated to provide efficient inhibition of tumor cell growth. N Biotechnol (2013) 30(2):205–9. 10.1016/j.nbt.2012.09.002 [DOI] [PubMed] [Google Scholar]
- 34.Liu X, Xu Y, Wan DB, Xiong YH, He ZY, Wang XX, et al. Development of a nanobody-alkaline phosphatase fusion protein and its application in a highly sensitive direct competitive fluorescence enzyme immunoassay for detection of ochratoxin A in cereal. Anal Chem (2015) 87(2):1387–94. 10.1021/ac504305z [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Waehler R, Russell SJ, Curiel DT. Engineering targeted viral vectors for gene therapy. Nat Rev Genet (2007) 8(8):573–87. 10.1038/nrg2141 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Kaliberov SA, Kaliberova LN, Buggio M, Tremblay JM, Shoemaker CB, Curiel DT. Adenoviral targeting using genetically incorporated camelid single variable domains. Lab Invest (2014) 94(8):893–905. 10.1038/labinvest.2014.82 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Van de Broek B, Devoogdt N, D’Hollander A, Gijs HL, Jans K, Lagae L, et al. Specific cell targeting with nanobody conjugated branched gold nanoparticles for photothermal therapy. ACS Nano (2011) 5(6):4319–28. 10.1021/nn1023363 [DOI] [PubMed] [Google Scholar]
- 38.Altintas I, Heukers R, van der Meel R, Lacombe M, Amidi M, van Bergen En Henegouwen PM, et al. Nanobody-albumin nanoparticles (NANAPs) for the delivery of a multikinase inhibitor 17864 to EGFR overexpressing tumor cells. J Control Release (2013) 165(2):110–8. 10.1016/j.jconrel.2012.11.007 [DOI] [PubMed] [Google Scholar]
- 39.Talelli M, Oliveira S, Rijcken CJ, Pieters EH, Etrych T, Ulbrich K, et al. Intrinsically active nanobody-modified polymeric micelles for tumor-targeted combination therapy. Biomaterials (2013) 34(4):1255–60. 10.1016/j.biomaterials.2012.09.064 [DOI] [PubMed] [Google Scholar]
- 40.Kijanka M, Dorresteijn B, Oliveira S, van Bergen en Henegouwen PM. Nanobody-based cancer therapy of solid tumors. Nanomedicine (Lond) (2015) 10(1):161–74. 10.2217/nnm.14.178 [DOI] [PubMed] [Google Scholar]
- 41.Bian X, Wu P, Sha H, Qian H, Wang Q, Cheng L, et al. Anti-EGFR-iRGD recombinant protein conjugated silk fibroin nanoparticles for enhanced tumor targeting and antitumor efficiency. Onco Targets Ther (2016) 9:3153–62. 10.2147/OTT.S100678 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Kooijmans SA, Aleza CG, Roffler SR, van Solinge WW, Vader P, Schiffelers RM. Display of GPI-anchored anti-EGFR nanobodies on extracellular vesicles promotes tumour cell targeting. J Extracell Vesicles (2016) 5:31053. 10.3402/jev.v5.31053 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Pires DP, Cleto S, Sillankorva S, Azeredo J, Lu TK. Genetically engineered phages: a review of advances over the last decade. Microbiol Mol Biol Rev (2016) 80(3):523–43. 10.1128/MMBR.00069-15 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Goldman ER, Anderson GP, Bernstein RD, Swain MD. Amplification of immunoassays using phage-displayed single domain antibodies. J Immunol Methods (2010) 352(1–2):182–5. 10.1016/j.jim.2009.10.014 [DOI] [PubMed] [Google Scholar]
- 45.Moutel S, Bery N, Bernard V, Keller L, Lemesre E, de Marco A, et al. NaLi-H1: a universal synthetic library of humanized nanobodies providing highly functional antibodies and intrabodies. Elife (2016) 5:e16228. 10.7554/eLife.16228 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Helma J, Cardoso MC, Muyldermans S, Leonhardt H. Nanobodies and recombinant binders in cell biology. J Cell Biol (2015) 209(5):633–44. 10.1083/jcb.201409074 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Fridy PC, Li Y, Keegan S, Thompson MK, Nudelman I, Scheid JF, et al. A robust pipeline for rapid production of versatile nanobody repertoires. Nat Methods (2014) 11(12):1253–60. 10.1038/nmeth.3170 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Xu Y, Roach W, Sun T, Jain T, Prinz B, Yu TY, et al. Addressing polyspecificity of antibodies selected from an in vitro yeast presentation system: a FACS-based, high-throughput selection and analytical tool. Protein Eng Des Sel (2013) 26(10):663–70. 10.1093/protein/gzt047 [DOI] [PubMed] [Google Scholar]
- 49.Hoefman S, Ottevaere I, Baumeister J, Sargentini-Maier ML. Pre-clinical intravenous serum pharmacokinetics of albumin binding and non-half-life extended nanobodies® antibodies. Antibodies (2015) 4:141–56. 10.3390/antib4030141 [DOI] [Google Scholar]
- 50.Van Impe K, Bethuyne J, Cool S, Impens F, Ruano-Gallego D, De Wever O, et al. A nanobody targeting the F-actin capping protein CapG restrains breast cancer metastasis. Breast Cancer Res (2013) 15(6):R116. 10.1186/bcr3585 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Herce HD, Schumacher D, Schneider AFL, Ludwig AK, Mann FA, Fillies M, et al. Cell-permeable nanobodies for targeted immunolabelling and antigen manipulation in living cells. Nat Chem (2017) 9(8):762–71. 10.1038/nchem.2811 [DOI] [PubMed] [Google Scholar]
- 52.Huet HA, Growney JD, Johnson JA, Li J, Bilic S, Ostrom L, et al. Multivalent nanobodies targeting death receptor 5 elicit superior tumor cell killing through efficient caspase induction. MAbs (2014) 6(6):1560–70. 10.4161/19420862.2014.975099 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Maier J, Traenkle B, Rothbauer U. Real-time analysis of epithelial-mesenchymal transition using fluorescent single-domain antibodies. Sci Rep (2015) 5:13402. 10.1038/srep13402 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Jovcevska I, Zupanec N, Urlep Z, Vranic A, Matos B, Stokin CL, et al. Differentially expressed proteins in glioblastoma multiforme identified with a nanobody-based anti-proteome approach and confirmed by OncoFinder as possible tumor-class predictive biomarker candidates. Oncotarget (2017) 8(27):44141–58. 10.18632/oncotarget.17390 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.van Brussel AS, Adams A, Oliveira S, Dorresteijn B, El Khattabi M, Vermeulen JF, et al. Hypoxia-targeting fluorescent nanobodies for optical molecular imaging of pre-invasive breast cancer. Mol Imaging Biol (2016) 18(4):535–44. 10.1007/s11307-015-0909-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Herce HD, Deng W, Helma J, Leonhardt H, Cardoso MC. Visualization and targeted disruption of protein interactions in living cells. Nat Commun (2013) 4:2660. 10.1038/ncomms3660 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Prantner AM, Turini M, Kerfelec B, Joshi S, Baty D, Chames P, et al. Anti-mesothelin nanobodies for both conventional and nanoparticle-based biomedical applications. J Biomed Nanotechnol (2015) 11(7):1201–12. 10.1166/jbn.2015.2063 [DOI] [PubMed] [Google Scholar]
- 58.Debie P, Van Quathem J, Hansen I, Bala G, Massa S, Devoogdt N, et al. Effect of dye and conjugation chemistry on the biodistribution profile of near-infrared-labeled nanobodies as tracers for image-guided surgery. Mol Pharm (2017) 14(4):1145–53. 10.1021/acs.molpharmaceut.6b01053 [DOI] [PubMed] [Google Scholar]
- 59.van Driel PB, Boonstra MC, Slooter MD, Heukers R, Stammes MA, Snoeks TJ, et al. EGFR targeted nanobody-photosensitizer conjugates for photodynamic therapy in a pre-clinical model of head and neck cancer. J Control Release (2016) 229:93–105. 10.1016/j.jconrel.2016.03.014 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Wang H, Meng AM, Li SH, Zhou XL. A nanobody targeting carcinoembryonic antigen as a promising molecular probe for non-small cell lung cancer. Mol Med Rep (2017) 16(1):625–30. 10.3892/mmr.2017.6677 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Zhang F, Wei H, Wang X, Bai Y, Wang P, Wu J, et al. Structural basis of a novel PD-L1 nanobody for immune checkpoint blockade. Cell Discov (2017) 3:17004. 10.1038/celldisc.2017.4 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Ingram JR, Blomberg OS, Sockolosky JT, Ali L, Schmidt FI, Pishesha N, et al. Localized CD47 blockade enhances immunotherapy for murine melanoma. Proc Natl Acad Sci U S A (2017) 114(38):10184–89. 10.1073/pnas.1710776114 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Sockolosky JT, Dougan M, Ingram JR, Ho CC, Kauke MJ, Almo SC, et al. Durable antitumor responses to CD47 blockade require adaptive immune stimulation. Proc Natl Acad Sci U S A (2016) 113(19):E2646–54. 10.1073/pnas.1604268113 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Li JW, Xia L, Su Y, Liu H, Xia X, Lu Q, et al. Molecular imprint of enzyme active site by camel nanobodies: rapid and efficient approach to produce abzymes with alliinase activity. J Biol Chem (2012) 287(17):13713–21. 10.1074/jbc.M111.336370 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65.De Genst E, Handelberg F, Van Meirhaeghe A, Vynck S, Loris R, Wyns L, et al. Chemical basis for the affinity maturation of a camel single domain antibody. J Biol Chem (2004) 279(51):53593–601. 10.1074/jbc.M407843200 [DOI] [PubMed] [Google Scholar]
- 66.Zielonka S, Empting M, Grzeschik J, Konning D, Barelle CJ, Kolmar H. Structural insights and biomedical potential of IgNAR scaffolds from sharks. MAbs (2015) 7(1):15–25. 10.4161/19420862.2015.989032 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67.Barelle C, Porter A. VNARs: an ancient and unique repertoire of molecules that deliver small, soluble, stable and high affinity binders of proteins. Antibodies (2015) 4(3):240–58. 10.3390/antib4030240 [DOI] [Google Scholar]
- 68.Pardon E, Laeremans T, Triest S, Rasmussen SG, Wohlkonig A, Ruf A, et al. A general protocol for the generation of nanobodies for structural biology. Nat Protoc (2014) 9(3):674–93. 10.1038/nprot.2014.039 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 69.Garaicoechea L, Olichon A, Marcoppido G, Wigdorovitz A, Mozgovoj M, Saif L, et al. Llama-derived single-chain antibody fragments directed to rotavirus VP6 protein possess broad neutralizing activity in vitro and confer protection against diarrhea in mice. J Virol (2008) 82(19):9753–64. 10.1128/JVI.00436-08 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70.Garaicoechea L, Aguilar A, Parra GI, Bok M, Sosnovtsev SV, Canziani G, et al. Llama nanoantibodies with therapeutic potential against human norovirus diarrhea. PLoS One (2015) 10(8):e0133665. 10.1371/journal.pone.0133665 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 71.Hoogenboom HR. Selecting and screening recombinant antibody libraries. Nat Biotechnol (2005) 23(9):1105–16. 10.1038/nbt1126 [DOI] [PubMed] [Google Scholar]
- 72.Gonzalez-Sapienza G, Rossotti MA, Tabares-da Rosa S. Single-domain antibodies as versatile affinity reagents for analytical and diagnostic applications. Front Immunol (2017) 8:977. 10.3389/fimmu.2017.00977 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 73.Efimov GA, Kruglov AA, Khlopchatnikova ZV, Rozov FN, Mokhonov VV, Rose-John S, et al. Cell-type-restricted anti-cytokine therapy: TNF inhibition from one pathogenic source. Proc Natl Acad Sci U S A (2016) 113(11):3006–11. 10.1073/pnas.1520175113 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 74.Wang L, Liu X, Zhu X, Wang W, Liu C, Cui H, et al. Generation of single-domain antibody multimers with three different self-associating peptides. Protein Eng Des Sel (2013) 26(6):417–23. 10.1093/protein/gzt011 [DOI] [PubMed] [Google Scholar]
- 75.Massa S, Vikani N, Betti C, Ballet S, Vanderhaegen S, Steyaert J, et al. Sortase A-mediated site-specific labeling of camelid single-domain antibody-fragments: a versatile strategy for multiple molecular imaging modalities. Contrast Media Mol Imaging (2016) 11(5):328–39. 10.1002/cmmi.1696 [DOI] [PubMed] [Google Scholar]
- 76.Maass DR, Sepulveda J, Pernthaner A, Shoemaker CB. Alpaca (Lama pacos) as a convenient source of recombinant camelid heavy chain antibodies (VHHs). J Immunol Methods (2007) 324(1–2):13–25. 10.1016/j.jim.2007.04.008 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 77.Roovers RC, Laeremans T, Huang L, De Taeye S, Verkleij AJ, Revets H, et al. Efficient inhibition of EGFR signaling and of tumour growth by antagonistic anti-EFGR nanobodies. Cancer Immunol Immunother (2007) 56(3):303–17. 10.1007/s00262-006-0180-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 78.Salema V, Fernandez LA. High yield purification of nanobodies from the periplasm of E. coli as fusions with the maltose binding protein. Protein Expr Purif (2013) 91(1):42–8. 10.1016/j.pep.2013.07.001 [DOI] [PubMed] [Google Scholar]
- 79.Ring AM, Manglik A, Kruse AC, Enos MD, Weis WI, Garcia KC, et al. Adrenaline-activated structure of beta2-adrenoceptor stabilized by an engineered nanobody. Nature (2013) 502(7472):575–9. 10.1038/nature12572 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 80.Griffin L, Lawson A. Antibody fragments as tools in crystallography. Clin Exp Immunol (2011) 165(3):285–91. 10.1111/j.1365-2249.2011.04427.x [DOI] [PMC free article] [PubMed] [Google Scholar]
- 81.Schmitz KR, Bagchi A, Roovers RC, van Bergen en Henegouwen PM, Ferguson KM. Structural evaluation of EGFR inhibition mechanisms for nanobodies/VHH domains. Structure (2013) 21(7):1214–24. 10.1016/j.str.2013.05.008 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 82.Manglik A, Kobilka BK, Steyaert J. Nanobodies to study G protein-coupled receptor structure and function. Annu Rev Pharmacol Toxicol (2017) 57:19–37. 10.1146/annurev-pharmtox-010716-104710 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 83.Harmsen MM, van Solt CB, van Zijderveld-van Bemmel AM, Niewold TA, van Zijderveld FG. Selection and optimization of proteolytically sn llama single-domain antibody fragments for oral immunotherapy. Appl Microbiol Biotechnol (2006) 72(3):544–51. 10.1007/s00253-005-0300-7 [DOI] [PubMed] [Google Scholar]
- 84.Hussack G, Hirama T, Ding W, Mackenzie R, Tanha J. Engineered single-domain antibodies with high protease resistance and thermal stability. PLoS One (2011) 6(11):e28218. 10.1371/journal.pone.0028218 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 85.Newnham LE, Wright MJ, Holdsworth G, Kostarelos K, Robinson MK, Rabbitts TH, et al. Functional inhibition of beta-catenin-mediated Wnt signaling by intracellular VHH antibodies. MAbs (2015) 7(1):180–91. 10.4161/19420862.2015.989023 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 86.Sircar A, Sanni KA, Shi J, Gray JJ. Analysis and modeling of the variable region of camelid single-domain antibodies. J Immunol (2011) 186(11):6357–67. 10.4049/jimmunol.1100116 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 87.Stanfield RL, Dooley H, Flajnik MF, Wilson IA. Crystal structure of a shark single-domain antibody V region in complex with lysozyme. Science (2004) 305(5691):1770–3. 10.1126/science.1101148 [DOI] [PubMed] [Google Scholar]
- 88.Stanfield RL, Dooley H, Verdino P, Flajnik MF, Wilson IA. Maturation of shark single-domain (IgNAR) antibodies: evidence for induced-fit binding. J Mol Biol (2007) 367(2):358–72. 10.1016/j.jmb.2006.12.045 [DOI] [PubMed] [Google Scholar]
- 89.Kromann-Hansen T, Louise Lange E, Peter Sorensen H, Hassanzadeh-Ghassabeh G, Huang M, Jensen JK, et al. Discovery of a novel conformational equilibrium in urokinase-type plasminogen activator. Sci Rep (2017) 7(1):3385. 10.1038/s41598-017-03457-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 90.Chakravarty R, Goel S, Cai W. Nanobody: the “magic bullet” for molecular imaging? Theranostics (2014) 4(4):386–98. 10.7150/thno.8006 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 91.Van Audenhove I, Gettemans J. Nanobodies as versatile tools to understand, diagnose, visualize and treat cancer. EBioMedicine (2016) 8:40–8. 10.1016/j.ebiom.2016.04.028 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 92.van Driel PB, van der Vorst JR, Verbeek FP, Oliveira S, Snoeks TJ, Keereweer S, et al. Intraoperative fluorescence delineation of head and neck cancer with a fluorescent anti-epidermal growth factor receptor nanobody. Int J Cancer (2014) 134(11):2663–73. 10.1002/ijc.28601 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 93.Siontorou CG. Nanobodies as novel agents for disease diagnosis and therapy. Int J Nanomedicine (2013) 8:4215–27. 10.2147/IJN.S39428 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 94.Keyaerts M, Xavier C, Heemskerk J, Devoogdt N, Everaert H, Ackaert C, et al. Phase I study of 68Ga-HER2-nanobody for PET/CT assessment of HER2 expression in breast carcinoma. J Nucl Med (2016) 57(1):27–33. 10.2967/jnumed.115.162024 [DOI] [PubMed] [Google Scholar]
- 95.Xavier C, Blykers A, Vaneycken I, D’Huyvetter M, Heemskerk J, Lahoutte T, et al. (18)F-nanobody for PET imaging of HER2 overexpressing tumors. Nucl Med Biol (2016) 43(4):247–52. 10.1016/j.nucmedbio.2016.01.002 [DOI] [PubMed] [Google Scholar]
- 96.Lipton A, Goodman L, Leitzel K, Cook J, Sperinde J, Haddad M, et al. HER3, p95HER2, and HER2 protein expression levels define multiple subtypes of HER2-positive metastatic breast cancer. Breast Cancer Res Treat (2013) 141(1):43–53. 10.1007/s10549-013-2665-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 97.Warnders FJ, Terwisscha van Scheltinga AGT, Knuehl C, van Roy M, de Vries EFJ, Kosterink JGW, et al. Human epidermal growth factor receptor 3-specific tumor uptake and biodistribution of 89Zr-MSB0010853 visualized by real-time and noninvasive PET imaging. J Nucl Med (2017) 58(8):1210–5. 10.2967/jnumed.116.181586 [DOI] [PubMed] [Google Scholar]
- 98.Piramoon M, Hosseinimehr SJ, Omidfar K, Noaparast Z, Abedi SM. 99m Tc-anti-epidermal growth factor receptor nanobody for tumor imaging. Chem Biol Drug Des (2017) 89(4):498–504. 10.1111/cbdd.12871 [DOI] [PubMed] [Google Scholar]
- 99.Leung K. 99mTc(CO)3-Anti-Carcinoembryonic Antigen (CEA) Humanized CEA5 Graft Nanobody. Bethesda, MD: Molecular Imaging and Contrast Agent Database (MICAD) (2004). [PubMed] [Google Scholar]
- 100.Broos K, Keyaerts M, Lecocq Q, Renmans D, Nguyen T, Escors D, et al. Non-invasive assessment of murine PD-L1 levels in syngeneic tumor models by nuclear imaging with nanobody tracers. Oncotarget (2017) 8(26):41932–46. 10.18632/oncotarget.16708 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 101.Kosaka N, Ogawa M, Choyke PL, Kobayashi H. Clinical implications of near-infrared fluorescence imaging in cancer. Future Oncol (2009) 5(9):1501–11. 10.2217/fon.09.109 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 102.Oliveira S, Heukers R, Sornkom J, Kok RJ, van Bergen En Henegouwen PM. Targeting tumors with nanobodies for cancer imaging and therapy. J Control Release (2013) 172(3):607–17. 10.1016/j.jconrel.2013.08.298 [DOI] [PubMed] [Google Scholar]
- 103.Gainkam LO, Caveliers V, Devoogdt N, Vanhove C, Xavier C, Boerman O, et al. Localization, mechanism and reduction of renal retention of technetium-99m labeled epidermal growth factor receptor-specific nanobody in mice. Contrast Media Mol Imaging (2011) 6(2):85–92. 10.1002/cmmi.408 [DOI] [PubMed] [Google Scholar]
- 104.D’Huyvetter M, Xavier C, Caveliers V, Lahoutte T, Muyldermans S, Devoogdt N. Radiolabeled nanobodies as theranostic tools in targeted radionuclide therapy of cancer. Expert Opin Drug Deliv (2014) 11(12):1939–54. 10.1517/17425247.2014.941803 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 105.Chatalic KL, Veldhoven-Zweistra J, Bolkestein M, Hoeben S, Koning GA, Boerman OC, et al. A novel (1)(1)(1)In-labeled anti-prostate-specific membrane antigen nanobody for targeted SPECT/CT imaging of prostate cancer. J Nucl Med (2015) 56(7):1094–9. 10.2967/jnumed.115.156729 [DOI] [PubMed] [Google Scholar]
- 106.Vosjan MJ, Vercammen J, Kolkman JA, Stigter-van Walsum M, Revets H, van Dongen GA. Nanobodies targeting the hepatocyte growth factor: potential new drugs for molecular cancer therapy. Mol Cancer Ther (2012) 11(4):1017–25. 10.1158/1535-7163.MCT-11-0891 [DOI] [PubMed] [Google Scholar]
- 107.Calpe S, Wagner K, El Khattabi M, Rutten L, Zimberlin C, Dolk E, et al. Effective inhibition of bone morphogenetic protein function by highly specific llama-derived antibodies. Mol Cancer Ther (2015) 14(11):2527–40. 10.1158/1535-7163.MCT-14-0956 [DOI] [PubMed] [Google Scholar]
- 108.Slordahl TS, Denayer T, Moen SH, Standal T, Borset M, Ververken C, et al. Anti-c-MET nanobody – a new potential drug in multiple myeloma treatment. Eur J Haematol (2013) 91(5):399–410. 10.1111/ejh.12185 [DOI] [PubMed] [Google Scholar]
- 109.Heukers R, Altintas I, Raghoenath S, De Zan E, Pepermans R, Roovers RC, et al. Targeting hepatocyte growth factor receptor (Met) positive tumor cells using internalizing nanobody-decorated albumin nanoparticles. Biomaterials (2014) 35(1):601–10. 10.1016/j.biomaterials.2013.10.001 [DOI] [PubMed] [Google Scholar]
- 110.Tan S, Liu K, Chai Y, Zhang CW, Gao S, Gao GF, et al. Distinct PD-L1 binding characteristics of therapeutic monoclonal antibody durvalumab. Protein Cell (2018) 9(1):135–9. 10.1007/s13238-017-0412-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 111.Griffiths K, Dolezal O, Cao B, Nilsson SK, See HB, Pfleger KD, et al. i-bodies, human single domain antibodies that antagonize chemokine receptor CXCR4. J Biol Chem (2016) 291(24):12641–57. 10.1074/jbc.M116.721050 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 112.Bauer G, Motz M. The antitumor effect of single-domain antibodies directed towards membrane-associated catalase and superoxide dismutase. Anticancer Res (2016) 36(11):5945–56. 10.21873/anticanres.11182 [DOI] [PubMed] [Google Scholar]
- 113.Papadopoulos KP, Isaacs R, Bilic S, Kentsch K, Huet HA, Hofmann M, et al. Unexpected hepatotoxicity in a phase I study of TAS266, a novel tetravalent agonistic nanobody(R) targeting the DR5 receptor. Cancer Chemother Pharmacol (2015) 75(5):887–95. 10.1007/s00280-015-2712-0 [DOI] [PubMed] [Google Scholar]
- 114.Ding L, Tian C, Feng S, Fida G, Zhang C, Ma Y, et al. Small sized EGFR1 and HER2 specific bifunctional antibody for targeted cancer therapy. Theranostics (2015) 5(4):378–98. 10.7150/thno.10084 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 115.Li J, Zhou C, Dong B, Zhong H, Chen S, Li Q, et al. Single domain antibody-based bispecific antibody induces potent specific anti-tumor activity. Cancer Biol Ther (2016) 17(12):1231–9. 10.1080/15384047.2016.1235659 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 116.Dekempeneer Y, Keyaerts M, Krasniqi A, Puttemans J, Muyldermans S, Lahoutte T, et al. Targeted alpha therapy using short-lived alpha-particles and the promise of nanobodies as targeting vehicle. Expert Opin Biol Ther (2016) 16(8):1035–47. 10.1080/14712598.2016.1185412 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 117.Teesalu T, Sugahara KN, Kotamraju VR, Ruoslahti E. C-end rule peptides mediate neuropilin-1-dependent cell, vascular, and tissue penetration. Proc Natl Acad Sci U S A (2009) 106(38):16157–62. 10.1073/pnas.0908201106 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 118.van Erp EA, Kaliberova LN, Kaliberov SA, Curiel DT. Retargeted oncolytic adenovirus displaying a single variable domain of camelid heavy-chain-only antibody in a fiber protein. Mol Ther Oncolytics (2015) 2:15001. 10.1038/mto.2015.1 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 119.Rita Costa A, Milho C, Azeredo J, Pires DP. Synthetic biology to engineer bacteriophage genomes. Methods Mol Biol (2018) 1693:285–300. 10.1007/978-1-4939-7395-8_21 [DOI] [PubMed] [Google Scholar]
- 120.Hu Y, Liu C, Muyldermans S. Nanobody-based delivery systems for diagnosis and targeted tumor therapy. Front Immunol (1442) 2017:8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 121.Turner KB, Alves NJ, Medintz IL, Walper SA. Improving the targeting of therapeutics with single-domain antibodies. Expert Opin Drug Deliv (2016) 13(4):561–70. 10.1517/17425247.2016.1133583 [DOI] [PubMed] [Google Scholar]
- 122.Li T, Vandesquille M, Bay S, Dhenain M, Delatour B, Lafaye P. Selection of similar single domain antibodies from two immune VHH libraries obtained from two alpacas by using different selection methods. Immunol Lett (2017) 188:89–95. 10.1016/j.imlet.2017.07.001 [DOI] [PubMed] [Google Scholar]
- 123.Rossotti M, Tabares S, Alfaya L, Leizagoyen C, Moron G, Gonzalez-Sapienza G. Streamlined method for parallel identification of single domain antibodies to membrane receptors on whole cells. Biochim Biophys Acta (2015) 1850(7):1397–404. 10.1016/j.bbagen.2015.03.009 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 124.Tani H, Osbourn JK, Walker EH, Rush RA, Ferguson IA. A novel in vivo method for isolating antibodies from a phage display library by neuronal retrograde transport selectively yields antibodies against p75(NTR.). MAbs (2013) 5(3):471–8. 10.4161/mabs.24112 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 125.Cavallari M. Rapid and direct VHH and target identification by staphylococcal surface display libraries. Int J Mol Sci (2017) 18(7):E1507. 10.3390/ijms18071507 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 126.Abdiche YN, Yeung AY, Ni I, Stone D, Miles A, Morishige W, et al. Antibodies targeting closely adjacent or minimally overlapping epitopes can displace one another. PLoS One (2017) 12(1):e0169535. 10.1371/journal.pone.0169535 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 127.Salema V, Fernandez LA. Escherichia coli surface display for the selection of nanobodies. Microb Biotechnol (2017) 10(6):1468–84. 10.1111/1751-7915.12819 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 128.Salema V, Manas C, Cerdan L, Pinero-Lambea C, Marin E, Roovers RC, et al. High affinity nanobodies against human epidermal growth factor receptor selected on cells by E. coli display. MAbs (2016) 8(7):1286–301. 10.1080/19420862.2016.1216742 [DOI] [PMC free article] [PubMed] [Google Scholar]