Literature DB >> 35658441

A Novel NAMPT Inhibitor-Based Antibody-Drug Conjugate Payload Class for Cancer Therapy.

Niels Böhnke1, Markus Berger1, Nils Griebenow2, Antje Rottmann1, Michael Erkelenz1, Stefanie Hammer1, Sandra Berndt1, Judith Günther1, Antje M Wengner1, Beatrix Stelte-Ludwig2, Christoph Mahlert2, Simone Greven2, Lisa Dietz2, Hannah Jörißen2, Naomi Barak1, Ulf Bömer1, Roman C Hillig1, Uwe Eberspaecher1, Jörg Weiske1, Anja Giese1, Dominik Mumberg1, Carl Friedrich Nising1, Hilmar Weinmann1, Anette Sommer1.   

Abstract

Inhibition of intracellular nicotinamide phosphoribosyltransferase (NAMPT) represents a new mode of action for cancer-targeting antibody-drug conjugates (ADCs) with activity also in slowly proliferating cells. To extend the repertoire of available effector chemistries, we have developed a novel structural class of NAMPT inhibitors as ADC payloads. A structure-activity relationship-driven approach supported by protein structural information was pursued to identify a suitable attachment point for the linker to connect the NAMPT inhibitor with the antibody. Optimization of scaffolds and linker structures led to highly potent effector chemistries which were conjugated to antibodies targeting C4.4a (LYPD3), HER2 (c-erbB2), or B7H3 (CD276) and tested on antigen-positive and -negative cancer cell lines. Pharmacokinetic studies, including metabolite profiling, were performed to optimize the stability and selectivity of the ADCs and to evaluate potential bystander effects. Optimized NAMPTi-ADCs demonstrated potent in vivo antitumor efficacy in target antigen-expressing xenograft mouse models. This led to the development of highly potent NAMPT inhibitor ADCs with a very good selectivity profile compared with the corresponding isotype control ADCs. Moreover, we demonstrate─to our knowledge for the first time─the generation of NAMPTi payload metabolites from the NAMPTi-ADCs in vitro and in vivo. In conclusion, NAMPTi-ADCs represent an attractive new payload class designed for use in ADCs for the treatment of solid and hematological cancers.

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Year:  2022        PMID: 35658441      PMCID: PMC9204702          DOI: 10.1021/acs.bioconjchem.2c00178

Source DB:  PubMed          Journal:  Bioconjug Chem        ISSN: 1043-1802            Impact factor:   6.069


Introduction

With the approval of so far 12 antibody–drug conjugates (ADCs) and more than 100 ADCs in clinical trials,[1−5] the landscape of ADCs has evolved rapidly during the last decade. Most ADCs employ payloads acting on cell proliferation, including microtubule-destabilizing drugs such as auristatins and maytansinoids, or DNA-targeted drugs such as calicheamicins, topoisomerase inhibitors, and pyrrolobenzodiazepines.[6] Thus, we sought to identify payloads with an alternative mode of action that may allow the targeting of tumors with a lower proliferation rate to complement the available set of payload classes. Nicotinamide adenine dinucleotide (NAD+) is an essential coenzyme in redox reactions and, therefore, central to cellular metabolism. In addition, NAD+ is a substrate for different enzymes, such as sirtuins and poly-ADP ribosylpolymerases (PARPs).[7] Nicotinamide phosphoribosyltransferase (NAMPT) is the rate-limiting enzyme recovering NAD+ from NAM in the NAD+ salvage pathway, which is the predominant pathway by which cells maintain their intracellular NAD+ levels.[8,9] Hence, NAMPT controls intracellular NAD+ levels and, consequently, energy metabolism. Reprogramming of cellular metabolism is one of the hallmarks of cancer.[10] Cancer cells have a higher metabolic demand for ATP and NAD+. This is due to the increased levels or activation of several NAD+-consuming enzymes in cancer cells compared with normal cells. Examples of such activated enzymes are mono(ADP-ribosyl) transferases (MARTs) and PARPs which transfer the ADP moiety of NAD+ to acceptor proteins, resulting in PARylated substrates.[11] In response to DNA damage in cancer cells, for example, by DNA damage-inducing chemotherapeutic drugs, PARP1 is recruited and activated and consumes NAD+ to support the DNA repair. PARP1 expression is increased in several cancers, and in breast cancer also, gene amplification has been reported.[12,13] Therefore, cancer cells must continuously resynthesize NAD+ to avoid NAD+ depletion and ultimately cell death. Indeed, upregulation of NAMPT has been reported in various cancers, such as colorectal, breast, and ovarian cancer.[9,11] Several selective small-molecule NAMPT inhibitors (NAMPTis) have been developed and found to potently inhibit NAMPT in cancer cells, resulting in NAD+ depletion and cytotoxicity.[8] Moreover, NAMPTis have been shown to decrease tumor growth in preclinical cancer models.[14] Unfortunately, NAMPTis of different chemical classes have shown disappointing results in clinical trials with dose-limiting toxicities, such as thrombocytopenia, retinal, and cardiac toxicities.[14] In order to improve the therapeutic window, NAMPTis have been proposed as payloads for tumor-targeting ADCs. NAMPT inhibition represents a novel mode of action for ADCs.[15,16] It is not dependent on cell proliferation, which enables targeting of all antigen-positive tumors, regardless of whether tumors consist of resting cells or contain slowly growing or highly proliferative cells.[15] Here, we present the development and preclinical characterization of a new NAMPTi-based payload class applicable for conjugation to diverse antibodies, resulting in ADCs with low aggregation, high potency, and selectivity in antigen-positive cancer models. Pharmacokinetic studies and metabolite profiling were performed to optimize ADC selectivity and to evaluate potential bystander effects. Moreover, we demonstrate—to our knowledge for the first time—the generation of NAMPTi payload metabolites from the NAMPTi-ADCs in vitro and in vivo.

Results

We developed a series of novel and highly potent small-molecule NAMPTis of the pyrrolopyridine class using high-throughput screening combined with structure-based drug design and a set of X-ray structures of the human NAMPT protein (hNAMPT) in complex with different NAMPTis. The high-resolution structure of compound (−)-1 (Figure ) highlights the binding mode of this series. Generally, the NAMPT binding pocket features a narrow entrance, where the natural substrate NAM is bound, and a wide funnel opening toward the opposite site. In the NAMPTi series presented, the pyrrolopyridine moiety serves as a NAM mimic. The urea moiety tightly anchors the inhibitor in the pocket through a network of hydrogen bonds, connecting the carbonyl oxygen atom to the Ser275 side chain. On the opposite wall of the pocket, a water molecule mediates hydrogen bonds from the free amino group of the urea to the side chains of Asp219 and Ser241 and to the backbone oxygen atom of Val242. The phenyl ring attached to the urea provides a perfect exit vector into the funnel region when substituted at the para position.
Figure 1

X-ray cocrystal structure of compound (−)-1 in complex with the hNAMPT protein. The structure was determined at 1.86 Å resolution (PDB accession code 7PPE).

X-ray cocrystal structure of compound (−)-1 in complex with the hNAMPT protein. The structure was determined at 1.86 Å resolution (PDB accession code 7PPE). Modeling studies employing both docking and molecular dynamics simulations suggested that, in the funnel region, binding modes are more variable, and their interactions are less stable over time, as compared to the narrower part of the pocket. This estimation of a flatter potential energy landscape in the funnel region was supported by X-ray data demonstrating that, depending on the substitution, even the dihydropyridazinone moiety, attached to position 4 of the aniline, can be accommodated in the NAMPT pocket in various orientations (see compounds 8–11 in Figure S1). While the N1-unsubstituted dihydropyridazinone moiety can participate in hydrogen bonding with Tyr188.O, the N1 position also functions as a suitable attachment point for linkers. Therefore, we investigated several analogues of compound 1 in terms of their effect on NAMPT inhibition. To this end, aminoalkyl chains of different lengths were attached to N1 to enable the connection to a linker via the terminal amino group (Table ).
Table 1

Overview of the SAR Analysis: Biochemical and Cellular Potencies of Selected NAMPT Inhibitorsa

   cellular viability IC50 (nM)c
compoundaamino alkyl carbon chain lengthhNAMPTb IC50 (nM)MDA-MB-453dA549-C4.4aeTHP-1f
1n.a.2.7n.d.n.d.n.d.
(−)-1n.a.1.92.7n.d.0.34
2n.a.1.60.651340.47
332.90.78>3001.2
440.80.18631.4
550.8<0.03970.023
660.7<0.03660.0045
760.2<0.0312<0.003

Potencies of selected NAMPTis (acompounds 1–7 are all racemic apart from (−)-1) were determined in bbiochemical and ccell-based assays. hNAMPT IC50, IC50 for human recombinant NAMPT determined by NAD/NADH-Glo assay; inhibition of cellular viability IC50, IC50 for NAMPTis determined by CellTiter-Glo assay in MDA-MB-453 breast cancer, A549-C4.4a lung cancer,[17] and THP-1 monocytic leukemia cells. dNAMPT mRNA expression: 7200; eNAMPT mRNA expression: 66,600; fNAMPT mRNA expression: 11,500; NAMPT mRNA expression levels were determined in an Affymetrix microarray (>1100 cancer cell lines) with an average expression level of 50,400; n.a., not applicable, n.d., not determined.

Potencies of selected NAMPTis (acompounds 1–7 are all racemic apart from (−)-1) were determined in bbiochemical and ccell-based assays. hNAMPT IC50, IC50 for human recombinant NAMPT determined by NAD/NADH-Glo assay; inhibition of cellular viability IC50, IC50 for NAMPTis determined by CellTiter-Glo assay in MDA-MB-453 breast cancer, A549-C4.4a lung cancer,[17] and THP-1 monocytic leukemia cells. dNAMPT mRNA expression: 7200; eNAMPT mRNA expression: 66,600; fNAMPT mRNA expression: 11,500; NAMPT mRNA expression levels were determined in an Affymetrix microarray (>1100 cancer cell lines) with an average expression level of 50,400; n.a., not applicable, n.d., not determined. Compound 1 showed single-digit nanomolar potency (IC50 = 2.7 nM) toward the hNAMPT protein as determined by the biochemical NAD/NADH-Glo assay (Table ). The enantiomerically pure compound (−)-1 showed a slightly improved potency with an IC50 value of 1.9 nM. Removal of the tetrahydropyrane moiety (compound 2) retained the biochemical potency (1.6 nM), while the attachment of an aminopropyl group (compound 3) slightly reduced the biochemical potency (2.9 nM). Attachment of a longer aminoalkyl chain to the N1 position (aminobutyl, -pentyl, or -hexyl chain in compounds 4, 5, and 6, respectively) resulted in increased potency with IC50 values of 0.7–0.8 nM. Replacement of the methyl-substituted scaffold with a 5-quinolinyl-substituted dihydropyridazinone moiety (compound 7) increased the potency even further, as indicated by an IC50 of 0.2 nM. With a small tilt of the dihydropyridazinone plane compared to compound (−)-1, the quinoline heterocycle finds a favorable orientation in the pocket with an additional H-bond being formed to Lys189 (see Figure S1E). The increased biochemical potency of compounds 4, 5, 6, and 7 translated into markedly improved cellular potency, as demonstrated in three cancer cell lines of different origins (Table ). Furthermore, the sensitivity of the tested cell lines to NAMPT inhibition inversely correlated with their NAMPT mRNA expression level. In conclusion, the different potencies of NAMPTis reflected the differential sensitivities of the cell lines, of which MDA-MB-453 and THP-1 were highly sensitive and A549-C4.4a was less sensitive to NAMPT inhibition. Next, compounds 4 and 6 bearing an aminobutyl or aminohexyl chain, respectively, were employed for the construction of ADCs. We used a maleimide for Michael addition reactions with the thiol groups of the antibody that were generated through the reduction of interchain disulfide bonds.[18] For proof-of-concept studies, antibodies targeted against C4.4a (expressed on MDA-MB-453 and A549-C4.4a cells), HER2 (expressed on MDA-MB-453 cells), and B7H3 (expressed on THP-1 cells) were used (for more details, see Supporting Information Methods). To investigate antigen-independent activity of the ADCs, a non-targeted isotype control antibody was used for conjugation. Altogether, three different effector chemistries (ECs, defined as toxophore + linker) were investigated: EC1 (aminobutyl chain and maleimido-caproyl linker), EC2 (aminohexyl chain and maleimido-caproyl linker), and EC3 (aminobutyl chain and valine-alanine-maleimido-caproyl linker) (see Table ). EC3 contained a dipeptide (Val-Ala) linker that has been described to be cleaved intracellularly after internalization of the ADC[19] and should, thus, release the NAMPT inhibitor (compound 4 = toxophore) inside the cells. The ADCs evaluated in this study had drug-to-antibody ratios (DARs) of 2.2–7.8 and demonstrated very low aggregation, with a monomer content of ≥95%. The targeted NAMPTi-ADCs demonstrated high cytotoxicity with 1–2 orders of magnitude higher potencies on antigen-expressing cells compared with the potencies observed with the isotype control ADCs. The B7H3-targeting ADC with EC2 effector chemistry, B7H3-EC2, demonstrated the highest potency with an IC50 of 6.9 pM in THP-1 cells. The increased potency of B7H3-EC2 parallels the higher observed potency of the respective NAMPTi compound 6 as compared to B7H3-EC1 (IC50 = 0.19 nM) and the toxophore, compound 4, in THP-1 cells (Table ). Notably, the non-targeted isotype control ADCs demonstrated cytotoxicity in the highly NAMPTi-sensitive cell line THP-1 with IC50 values of 1.5 nM (EC1), 85 pM (EC2), and 3.4 nM (EC3). This indicated that ADCs with these ECs may have residual activity and, therefore, may not be optimal, since their potency was not only dependent on the B7H3 antigen.
Table 2

In Vitro Potencies of NAMPTi-ADCs with Different ECs in MDA-MB-453, A549-C4.4a, and THP-1 Cells

NAMPTi-ADCs were generated by coupling potent NAMPTis discovered in the small-molecule screen (see Table ) to C4.4a, HER2, B7H3, and non-targeted isotype control antibodies using the following linker types and antibody connection technologies: noncleavable linker and cysteine Michael addition for EC1 and EC2 and cleavable Val-Ala linker and cysteine Michael addition for EC3. All NAMPTi-ADCs were >96% monomers.

Endogenous C4.4a, antibodies bound per cell (ABC) ∼ 20,000; endogenous HER2, ABC ∼ 80,000.[20]

Transfected C4.4a, ABC ∼ 440,000.[17]

Endogenous B7H3, ABC ∼100,000; EC, effector chemistry; DAR, drug-to-antibody ratio; cytotoxicity IC50, IC50 for NAMPTi-ADCs after a 72 h (# = 96 h) treatment determined by CellTiter-Glo assay (Promega) in MDA-MB-453 breast cancer, A549-C4.4a lung cancer, and THP-1 monocytic leukemia cells, n.d., not determined.

Asterisks (*) indicate connection points of R3 and linker structures.

NAMPTi-ADCs were generated by coupling potent NAMPTis discovered in the small-molecule screen (see Table ) to C4.4a, HER2, B7H3, and non-targeted isotype control antibodies using the following linker types and antibody connection technologies: noncleavable linker and cysteine Michael addition for EC1 and EC2 and cleavable Val-Ala linker and cysteine Michael addition for EC3. All NAMPTi-ADCs were >96% monomers. Endogenous C4.4a, antibodies bound per cell (ABC) ∼ 20,000; endogenous HER2, ABC ∼ 80,000.[20] Transfected C4.4a, ABC ∼ 440,000.[17] Endogenous B7H3, ABC ∼100,000; EC, effector chemistry; DAR, drug-to-antibody ratio; cytotoxicity IC50, IC50 for NAMPTi-ADCs after a 72 h (# = 96 h) treatment determined by CellTiter-Glo assay (Promega) in MDA-MB-453 breast cancer, A549-C4.4a lung cancer, and THP-1 monocytic leukemia cells, n.d., not determined. Asterisks (*) indicate connection points of R3 and linker structures. To better understand the reason for the residual activity of the isotype control ADCs and to further improve the selective, target-mediated uptake, we next investigated the stability of the payload connection to the antibody and the intracellular fate of the payload by measuring the generation of EC3-ADC metabolites in A549 cells by ultraperformance liquid chromatography coupled to high-resolution mass spectrometry. In target antigen-expressing A549-C4.4a cells, marked formation of compound 4 (free toxophore of EC3), minor degradation products P-1 and P-10, and the degradation products P-14 and P-19, both containing linker constituents, was observed (Figure , Table S1, and Figure S4). The formation of the phosphoribosylated metabolite P-20 was also detected (Figure A,B), confirming our hypothesis that NAMPT phosphoribosylates the NAM-mimicking NAMPTi-ADC payload, resulting in NAD+ depletion and, eventually, cell death. Interestingly, the formation of the Cys metabolite P-19 with an intact linker was observed both in targeted A549-C4.4a and non-targeted A549-mock cells, and even in growth medium-treated and isotype control ADC-treated cells (Figure A,C). This suggested payload deconjugation from the antibody, possibly contributing to the observed residual activity of the isotype control ADCs. The formation of the phosphoribosylated derivative P-20 was confirmed by incubation of the free toxophore (compound 4) with recombinant NAMPT, resulting in the formation of the identical derivative P-20 (Figure S3). The phosphoribosylated metabolite P-20 was also detected in liver and tumor samples of THP-1 tumor-bearing mice after treatment with a B7H3-targeting EC3-ADC (Figure B and Table S2). This demonstrates, to our knowledge, for the first time the mode of action and metabolism of NAMPTi-ADCs in vivo.
Figure 2

Metabolism of NAMPTi-ADCs with EC3. (A) In vitro formation of metabolites in C4.4a-expressing and mock A549 cells after treatment with C4.4a-EC3 or isotype control-EC3 for 24 h, expressed as relative mass spectrometric area response after HPLC-MS analysis. Medium was used as the control. Stars indicate that the specific metabolites were below the limit of detection. (B) In vivo formation of the phosphoribosylated metabolite P-20 in tumor and liver of THP-1 tumor-bearing mice after treatment with B7H3-EC3 or isotype control-EC3 [5 mg/kg, Q3/4Dx3, intravenous (i.v.)] for 24 h. (C) Structures of EC3-ADC metabolites. [O] in compound P-1 indicates oxidation of the bicyclic ring.

Metabolism of NAMPTi-ADCs with EC3. (A) In vitro formation of metabolites in C4.4a-expressing and mock A549 cells after treatment with C4.4a-EC3 or isotype control-EC3 for 24 h, expressed as relative mass spectrometric area response after HPLC-MS analysis. Medium was used as the control. Stars indicate that the specific metabolites were below the limit of detection. (B) In vivo formation of the phosphoribosylated metabolite P-20 in tumor and liver of THP-1 tumor-bearing mice after treatment with B7H3-EC3 or isotype control-EC3 [5 mg/kg, Q3/4Dx3, intravenous (i.v.)] for 24 h. (C) Structures of EC3-ADC metabolites. [O] in compound P-1 indicates oxidation of the bicyclic ring. Based on these observations, our strategy to decrease the non-target-mediated cellular activity and to increase the therapeutic window was based on decreasing payload deconjugation from the antibody and decreasing possible metabolite bystander effects. In contrast to a succinic imide, a negatively charged succinic amide linkage can prevent the elimination of the cysteine residue or antibody from the payload.[21] Therefore, an open-chain succinic amide was generated at the antibody using a glycine maleimide as the Michael acceptor, followed by basic opening of the resulting succinimide at pH 8.[22] This strategy led to the generation of the ECs EC4 and EC5 (Figure ), based on the NAMPTi compounds 5 (aminopentyl) and 7 (aminohexyl 5-quinolinyl) (Table ), respectively. To reduce potential aggregation of the ADCs, the increased lipophilicity of the 5-quinolinyl group in EC5 was balanced by the addition of a PEG6 chain in the linker moiety.[23,24]
Figure 3

Optimized ECs (A) EC4 and (B) EC5. EC4 was used for the NAMPTi-ADCs that were tested in vivo.

Optimized ECs (A) EC4 and (B) EC5. EC4 was used for the NAMPTi-ADCs that were tested in vivo. EC4- and EC5-ADCs achieved high DARs with a low tendency for aggregation (monomer ratio ≥ 95%), high potencies, and very high selectivity in target antigen-expressing cancer cells compared to non-target-expressing cells and to isotype control ADCs (Table ). EC4-ADCs demonstrated a very beneficial technical profile allowing the conjugation of up to eight payloads per antibody without notable aggregation. B7H3-EC4 showed very high potency in THP-1 cells with an IC50 value of 7 pM. For HER2-EC4, the observed IC50 value in MDA-MB-453 cells was even below the assay threshold level (0.3 pM). In contrast, the corresponding isotype control ADCs demonstrated IC50 values of 30 and 56 nM in THP-1 and MDA-MB-453 cells, respectively. This resulted in QIC50 (= IC50 of mock cells/IC50 of antigen-expressing cells) values of >4000 in the B7H3/THP-1 setting and >150,000 in the HER2/MDA-MB-453 setting, suggesting that a wide therapeutic window could be achieved in the in vivo experiments. Furthermore, a 24–48 h treatment with EC4-ADCs resulted in marked NAD+ depletion in target antigen-expressing cells compared to non-target-expressing or isotype control ADC-treated cells (Table S3). For EC5-ADCs, the highest potency was observed for HER2-EC5 with an IC50 of 43 pM in MDA-MB-453 cells, whereas the corresponding isotype control ADC had an IC50 of 35 nM, indicating more than 800-fold selectivity for HER2-EC5 (Table ). To further investigate potential bystander effects of the different NAMPTi-based ECs, we evaluated the permeability, biochemical potency, and in vitro cytotoxicity of the assumed metabolites of EC1, EC2, EC4, and EC5 (Table ). High biochemical potencies toward hNAMPT with nanomolar IC50 values were observed for all metabolites. The permeability of all metabolites was low in the CaCo-2 assay (PappA–B and PappB–A < 10 nm/s), indicating a low bystander effect. Nonetheless, in selected cancer cell lines, pronounced cytotoxicity was observed for the metabolites of NAMPTi-ADCs with maleimide-conjugated payloads (EC1 and EC2). In contrast, the metabolites of NAMPTi-ADCs with the optimized ECs EC4 and EC5 showed very low cytotoxicity, indicating that the low permeability observed in the CaCo-2 assay may not be predictive of cytotoxicity.
Table 3

Permeability, Biochemical Potency, and Cellular Cytotoxicity of the Expected Metabolites of NAMPTi-ADCs with Different ECs

The apparent permeability Papp for both the aapical to basolateral (A → B) and the bbasolateral to apical (B → A) direction was assessed in a permeability assay with Caco-2 cells. The potency of the metabolites of NAMPTi-ADCs with EC1, EC2, EC4, or EC5 was evaluated using cbiochemical and dcellular assays. EC, effector chemistry; cytotoxicity IC50, IC50 for NAMPTi-ADCs determined by CellTiter-Glo assay (Promega) in MDA-MB-453 breast cancer, A549-C4.4a lung cancer, and THP-1 monocytic leukemia cells.

The apparent permeability Papp for both the aapical to basolateral (A → B) and the bbasolateral to apical (B → A) direction was assessed in a permeability assay with Caco-2 cells. The potency of the metabolites of NAMPTi-ADCs with EC1, EC2, EC4, or EC5 was evaluated using cbiochemical and dcellular assays. EC, effector chemistry; cytotoxicity IC50, IC50 for NAMPTi-ADCs determined by CellTiter-Glo assay (Promega) in MDA-MB-453 breast cancer, A549-C4.4a lung cancer, and THP-1 monocytic leukemia cells. Finally, we evaluated the in vivo antitumor efficacy of optimized NAMPTi-ADCs in target antigen-expressing xenograft mouse models. B7H3-targeted NAMPTi-ADCs with EC3 showed high in vivo antitumor efficacy in the THP-1 acute myeloid leukemia (AML) xenograft model in scid mice (Figure A). Treatment with the high-DAR B7H3-EC3 (DAR 7.8; 5 mg/kg, i.v., Q7Dx3) effectively inhibited tumor growth with a T/C (treatment/control) ratio of 0.00 (p < 0.001 vs vehicle) and resulted in complete responses in 6/7 mice and partial responses (PRs) in 1/7 mice. In contrast, treatment with the low-DAR B7H3-EC3 (DAR 4.3; 5 mg/kg, i.v., Q7Dx3) resulted in a T/C of 0.09 (p < 0.001 vs vehicle) and PRs in 2/7 and progressive diseases (PDs) in 5/7 mice. A higher selectivity of the B7H3-EC3 ADCs compared with the non-targeted isotype control-EC3 was observed in the tumor regrowth phase after the treatment had been stopped (day 21). These results are in line with the results obtained in THP-1 cells in vitro (Table S4). All treatments were well tolerated with a maximum body weight loss of less than 10% (Figure S2A).
Figure 4

In vivo antitumor efficacy of C4.4a-, HER2-, and B7H3-targeted NAMPTi-ADCs. (A) Growth curves of THP-1 tumors in female scid mice (n = 7/group) treated with vehicle, B7H3-EC3 (DAR 4.3 or 7.8), or isotype control-EC3 (5 mg/kg, i.v., Q7Dx3), as indicated by black arrows. (B) Growth curves of MDA-MB-453 tumors in female NOD-scid mice (n = 7–10 mice/group) treated with vehicle, C4.4a-EC4, HER2-EC4, or isotype control-EC4 (10 mg/kg, i.v., Q7Dx7), as indicated by black arrows. Statistical analyses were performed using the estimated linear model corrected with Sidak’s or Tukey’s method. i.v., intravenously, Q7D, every 7 days; ***, P < 0.001 vs vehicle; ##, P < 0.01; and ###, P < 0.001 vs isotype control.

In vivo antitumor efficacy of C4.4a-, HER2-, and B7H3-targeted NAMPTi-ADCs. (A) Growth curves of THP-1 tumors in female scid mice (n = 7/group) treated with vehicle, B7H3-EC3 (DAR 4.3 or 7.8), or isotype control-EC3 (5 mg/kg, i.v., Q7Dx3), as indicated by black arrows. (B) Growth curves of MDA-MB-453 tumors in female NOD-scid mice (n = 7–10 mice/group) treated with vehicle, C4.4a-EC4, HER2-EC4, or isotype control-EC4 (10 mg/kg, i.v., Q7Dx7), as indicated by black arrows. Statistical analyses were performed using the estimated linear model corrected with Sidak’s or Tukey’s method. i.v., intravenously, Q7D, every 7 days; ***, P < 0.001 vs vehicle; ##, P < 0.01; and ###, P < 0.001 vs isotype control. C4.4a- and HER2-targeted NAMPTi-ADCs with EC4 showed high in vivo antitumor efficacy in the MDA-MB-453 breast cancer xenograft model in NOD-scid mice (Figure B). C4.4a-EC4 (10 mg/kg, i.v., Q7Dx7) inhibited tumor growth with a T/C of 0.39 (p < 0.001 vs vehicle) and resulted in PRs in 3/8 mice and stable diseases in 5/8 mice. Treatment with HER2-EC4 (10 mg/kg, i.v., Q7Dx7) resulted in marked tumor growth inhibition (T/C = 0.13, p < 0.001 vs vehicle) with 7/7 PRs in mice. After cessation of the treatment, no tumor regrowth was observed in this group. The efficacy of the targeted EC4-ADCs was selective as compared with the non-targeted isotype control-EC4. All treatments were tolerated with acceptable body weight loss (10–18%) (Figure S2B).

Discussion

Although there is at present a thorough understanding of the targeting mechanism and mechanism of action of NAMPTi-ADCs,[16,25] previous approaches have shown that there is still considerable room for improvement in generating highly selective, potent, and stable NAMPTi-ADCs with low aggregation propensities and potential for effective treatment of hematological and solid cancers. Here, we identify two promising NAMPTi-ADCs with the optimized ECs EC4 and EC5 that overcome previous challenges of NAMPTi-based ADCs. Earlier studies have introduced NAMPTi-ADCs with potent in vitro and in vivo efficacies, but there have been challenges related to selectivity and toxicity. The NAMPTi-ADC designed by Karpov et al., for example, showed strong aggregation and only moderate selectivity,[25] while the NAMPTi-ADCs designed by Neumann et al. employed a self-immolating glucuronide-carbamate linker strategy to allow for toxophore liberation in lysosomes, possibly posing a risk to patients due to liberated toxophores entering nontumor cells.[15,16] Our approach to avoid these issues was to use a conjugation strategy that would result in ADCs with low aggregation, high potency, and selectivity. Furthermore, we wanted to follow a conjugation strategy, resulting in the formation of weakly permeable NAMPTi payload metabolites in tumor cells. This would reduce the impact of liberated payload metabolites on surrounding non-targeted, healthy cells and thus result in NAMPTi-ADCs with a better safety profile. Therefore, we investigated the stability of the payload connection to the antibody and the intracellular fate of the payload by identifying generated NAMPTi-ADC metabolites. This led to the discovery of phosphoribosylated NAMPTi payload metabolites in vitro and in vivo and increased our understanding on how to improve linker stability and reduce the permeability of NAMPTi payload metabolites. The potency of the developed NAMPTis was demonstrated to be dependent on the aminoalkyl chain length attached to the N1 of the dihydropyridazinone in biochemical and cellular assays. This showed that increasing the aminoalkyl chain length led to increased potency. Compound 7, which had a 5-quinolinyl substituent, showed an even further increased biochemical potency. This may reflect the modified binding mode of this compound. The increased potency was also reflected in in vitro experiments with different cancer cell lines, where we observed that high sensitivity toward NAMPT inhibition inversely correlated with NAMPT mRNA levels and translated into markedly improved cellular potency. This is in line with the results by Xiao et al. who have reported that NAMPT mRNA and protein levels inversely correlate with sensitivity to NAMPTis and that patient stratification based on NAMPT expression could provide an approach to enhance the therapeutic effectiveness of NAMPTis.[26] Toxophore compounds 4 (with an aminobutyl chain) and compound 6 (with an aminohexyl chain) were then employed in the construction of ADCs, as they showed high potencies in biochemical and cellular assays and had a suitable linker attachment point via the terminal amino group of the aminoalkyl chain. The resulting ADCs showed very low aggregation and a good technical profile with DARs of 2.2–7.8. The comparatively low DARs observed for the C4.4a-targeted ADCs can be explained by the fact that the higher loaded conjugates could have an increased aggregation tendency, and the formed aggregates are removed in the purification step of the ADC preparation. The ADCs also showed antigen-dependent targeting and internalization, as evidenced by their high potencies in antigen-expressing MDA-MB-453 (C4.4a- and HER2-ADCs), A549-C4.4a (C4.4a-ADC), and THP-1 (B7H3-ADC) cells. The corresponding isotype control ADCs showed only residual activity. EC3, bearing a cleavable Val-Ala linker, showed increased potency compared with the noncleavable maleido-caproyl linker-bearing EC1 in A549-C4.4a cells (C4.4a-targeted ADCs) and THP-1 cells (B7H3-targeted ADCs). Unspecific activity of ADCs, that is, other than target-mediated cellular ADC uptake, is a major concern when treating patients. ADC metabolites can also affect non-target-expressing, healthy tissues and thereby decrease their therapeutic window. Although the residual activity observed with our non-targeted isotype control ADCs was approximately 10-fold lower compared to the targeted NAMPTi-ADCs, we sought to deepen our understanding of the underlying biochemical and cellular mechanisms of ADC metabolism by analyzing the formation of payload metabolites in vitro and in vivo. These studies revealed in vitro the formation of toxophore compound 4 in A549-C4.4a cells as well as—to our knowledge for the first time for a NAMPTi-ADC—in vivo the formation of the corresponding phosphoribosylated metabolite P-20 in the THP-1 xenograft model after treatment with B7H3-EC3. These findings support the mode of action of NAMPT inhibition, where the phosphoribosylation of a NAMPTi-ADC metabolite—instead of the natural substrate NAM—results in decreased NAD+ levels and further in NAD+ depletion and cell death.[8,9] In addition to the formation of toxophore compound 4 and P-20, the formation of the degradation products P-14 and P-19, both containing linker constituents, was observed. To further decrease the non-target-mediated cellular activity of the NAMPTi-ADCs and to increase their therapeutic window, a strategy to decrease payload deconjugation and subsequent possible metabolite bystander effects was adopted. The formation of toxophore compound 4 could be explained by the intracellular cleavage of the Val-Ala peptide linker in lysosomes. The formation of the free payload P-14 and the cysteine derivative P-19, in turn, could be explained by a retro-Michael reaction generating a free maleimide at the payload P-14 and a Cys-SH at the antibody, followed by a reaction of the maleimide P-14 with cysteine either from the cytosol or from the medium, resulting in the formation of metabolite P-19. In order to stabilize the conjugation of the payload to the antibody, we employed a connection strategy that generated a negatively charged succinic amide, thereby hindering a retro-Michael reaction. Using this connection strategy and a noncleavable linker, we developed ECs EC4 and EC5 that were based on NAMPTi compound 5 and the highly potent 5-quinolinyl analogue compound 7. The resulting EC4- and EC5-ADCs showed high potency in target antigen-expressing cells but only very low potency in non-target-expressing cells. These ADCs also showed good specificity compared to the corresponding isotype control ADCs and induced NAD+ depletion in cell-based assays. Furthermore, we were able to prepare EC4- and EC5-ADCs with high DARs (up to 8 payloads per antibody) without increasing their aggregation tendency. This was the result of the increased hydrophilicity of not only the anionic succinic amide linkage but also the PEG-6 side chain employed in EC5, designed to balance the lipophilicity of the 5-quinolinyl substituent. As the aim was to reduce the systemic toxicity caused by unspecific uptake of the generated ADC metabolites into non-target antigen-expressing cells, we evaluated the cellular activity of the expected payload metabolites formed within tumor cells upon treatment with EC1-, EC2-, EC4-, or EC5-ADCs. When tumor cells die, the formed payload metabolites are released into the tumor microenvironment, and thus, their cytotoxic effects on the surrounding tissue depend on their permeability.[27,28] In our in vitro cytotoxicity studies, EC1 and EC2 metabolites showed high cytotoxic potency toward the different cancer cell lines employed in this study. In contrast, the cytotoxic potency of EC4 and EC5 metabolites was very low despite their high biochemical potency. This indicated that the cellular permeability of these metabolites was even further reduced compared to that of EC1 and EC2 metabolites. The reduced permeability leading to the low cytotoxic potency of EC4 and EC5 could be explained by the high polarity of the cysteine-substituted succinic amide moiety related to the additional carboxylic acid groups and the PEG6 side chain in EC4 and EC5. These findings supported our strategy to restrict the ADC activity to target antigen-expressing cells by reducing possible bystander effects of the metabolites. Because the developed NAMPTi-ADCs showed high in vitro potency and selectivity and induced NAD+ depletion in target antigen-expressing cancer cells, we tested them further in in vivo tumor models. The HER2-, C4.4a-, and B7H3-targeted NAMPTi-ADCs exhibited potent antitumor activity with acceptable tolerability, as demonstrated in the THP-1 AML and MDA-MB-435 breast cancer xenograft models. In the THP-1 model, treatment with B7H3-targeted EC3-ADCs almost completely eradicated all tumors, and notably, no tumor regrowth was observed after cessation of treatment. Accordingly, in the MDA-MB-435 model, marked tumor growth inhibition was observed upon treatment with HER2- and C4.4a-targeted EC4-ADCs. Treatment with HER2-EC4 was even more efficacious than treatment with C4.4a-EC4, demonstrated by T/C values of 0.13 and 0.39, respectively. In MDA-MB-453 cells, the expression level of HER2 receptors was approximately fourfold compared with C4.4a receptors, which could in part explain the enhanced antitumor efficacy of HER2-EC4. Moreover, the antibody used in C4.4a-EC4 is cross-reactive with the mouse C4.4a antigen, whereas the antibody used in HER2-EC4 is not cross-reactive. This could also contribute to the observed differential effects of C4.4a-EC4 and HER2-EC4 on tumor growth and body weight in the MDA-MB-435 xenograft model. Overall, the EC4-ADCs showed high selectivity compared with the corresponding isotype control ADC, which had no apparent in vivo activity, highlighting the good performance of the optimized ECs. Importantly, in this study, we demonstrated for the first time the generation of NAMPTi payload metabolites both in vitro and in vivo, shedding more light on the mode of action of NAMPTi-ADCs. Taken together, these findings provide a holistic understanding of the fate of ADCs starting from their cellular uptake down to the intracellular interaction of the ADC metabolites with their target, the NAMPT enzyme. In conclusion, our study suggests that NAMPTis represent an attractive new payload class designed for use in ADCs for the treatment of solid and hematological tumors.

Experimental Procedures

Synthesis instructions for compounds 1–7, all ECs and their metabolites, and the ADCs and detailed descriptions of the methods are provided in the Supporting Information.

Analytical Characterization of ADCs

Drug-to-antibody ratio determination, purity assessment, and determination of the concentration of the ADCs were performed as described in Supporting Information Methods.

Cell Lines

Caco-2 human colorectal adenocarcinoma and MDA-MB-453 human breast cancer cell lines were obtained from DSMZ (German Collection of Microorganisms and Cell Cultures). A549 human lung cancer and THP-1 human monocytic leukemia cell lines were obtained from ATCC (American Type Culture Collection). All cell lines were cultured according to the provider’s instructions. The A549-C4.a cell line, transfected to overexpress the C4.4a antigen, was generated as described by Willuda et al.(17) All cell lines were obtained during 2002–2016 and authenticated using short tandem repeat DNA fingerprinting at DSMZ before the experiments and subjected frequently to mycoplasma testing.

In Vitro Assays

The inhibitory activity of each ADC on the hNAMPT protein (hNAMPT IC50) was determined using a biochemical NAMPT inhibition assay. The in vitro potencies of NAMPTis and NAMPTi-ADCs were determined in human MDA-MB-453 breast cancer, A549-C4.4a lung cancer, and THP-1 monocytic leukemia cells using the CellTiter-Glo cell viability assay (Promega, Madison, WI, USA). The cell permeability of the NAMPTi payload metabolites was investigated with an in vitro flux assay in Caco-2 cells. NAMPTi payload metabolites were identified using high-performance liquid chromatography/mass spectrometry (HPLC–MS) analysis. Detailed descriptions for all assays are provided in Supporting Information Methods.

In Vivo Studies

All animal studies were conducted in accordance with the German Animal Welfare Law and approved by Berlin authorities (Landesamt für Gesundheit und Soziales (LAGeSo), Berlin; Anzeigen-Code A0378/12). The in vivo antitumor efficacy and tolerability of the selected NAMPTi-ADCs were evaluated in the cell line-derived THP-1 human AML and MDA-MB-453 human breast cancer xenograft models. Detailed method descriptions are provided in the Supporting Information Briefly, THP-1 tumor-bearing female scid (scid/scid) mice (n = 7 mice/group) were treated with i.v. injections of vehicle (5 mL/kg), B7H3-EC3 (DAR 4.3 or 7.8), or isotype control-EC3 (TPP-754, DAR 7.7) at 5 mg/kg once weekly (Q7D) for 3 weeks (last dosing on day 21). The study was terminated on day 34 after tumor cell inoculation. MDA-MB-453 tumor-bearing female NOD-scid mice (n = 7–10 mice/group) were treated with i.v. injections of vehicle, C4.4a-EC4 (first DAR 7.1 and then DAR 6.4 from day 64 onward), HER2-EC4 (DAR 7.8), or isotype control-EC4 (TPP-754 and DAR 8.0) at 10 mg/kg (Q7D) for 7 weeks. The study was terminated on day 102 after tumor cell inoculation. For assessing the in vivo formation of the phosphoribosylated metabolite P-20, THP-1 tumor-bearing mice of the vehicle-treated group in the antitumor efficacy study were allocated to a final single-dose treatment on day 30 after tumor cell inoculation. The mice were treated with an i.v. injection of B7H3-EC3 (DAR 4.3; n = 3) or with isotype control-EC3 (TPP-754, DAR 8.3; n = 2) at 10 mg/kg, the animals were euthanized 24 h postinjection, and plasma, tumor, and liver samples were collected.

Statistical Analyses

All analyses were performed using the statistical programming language R [R version 3.6.3 (2020-02-29)]. Validity of the model assumptions was checked for the fitted statistical model. The analyses were performed using linear models estimated with generalized least squares with a separate variance term for each group. Pairwise comparisons were performed using the estimated linear model and corrected for familywise error rate using Sidak’s or Tukey’s method where appropriate.
  26 in total

1.  Synthesis and evaluation of hydrophilic linkers for antibody-maytansinoid conjugates.

Authors:  Robert Y Zhao; Sharon D Wilhelm; Charlene Audette; Gregory Jones; Barbara A Leece; Alexandru C Lazar; Victor S Goldmacher; Rajeeva Singh; Yelena Kovtun; Wayne C Widdison; John M Lambert; Ravi V J Chari
Journal:  J Med Chem       Date:  2011-05-04       Impact factor: 7.446

2.  Intracellular Released Payload Influences Potency and Bystander-Killing Effects of Antibody-Drug Conjugates in Preclinical Models.

Authors:  Fu Li; Kim K Emmerton; Mechthild Jonas; Xinqun Zhang; Jamie B Miyamoto; Jocelyn R Setter; Nicole D Nicholas; Nicole M Okeley; Robert P Lyon; Dennis R Benjamin; Che-Leung Law
Journal:  Cancer Res       Date:  2016-02-26       Impact factor: 12.701

3.  Mild method for succinimide hydrolysis on ADCs: impact on ADC potency, stability, exposure, and efficacy.

Authors:  L Nathan Tumey; Manoj Charati; Tao He; Eric Sousa; Dangshe Ma; Xiaogang Han; Tracey Clark; Jeff Casavant; Frank Loganzo; Frank Barletta; Judy Lucas; Edmund I Graziani
Journal:  Bioconjug Chem       Date:  2014-10-06       Impact factor: 4.774

Review 4.  Antibody-drug conjugates for cancer.

Authors:  Cindy H Chau; Patricia S Steeg; William D Figg
Journal:  Lancet       Date:  2019-08-31       Impact factor: 79.321

5.  Antibody-Drug Conjugates with Pyrrole-Based KSP Inhibitors as the Payload Class.

Authors:  Hans-Georg Lerchen; Sven Wittrock; Beatrix Stelte-Ludwig; Anette Sommer; Sandra Berndt; Nils Griebenow; Anne-Sophie Rebstock; Sarah Johannes; Yolanda Cancho-Grande; Christoph Mahlert; Simone Greven; Carsten Terjung
Journal:  Angew Chem Int Ed Engl       Date:  2018-10-15       Impact factor: 15.336

Review 6.  Unlocking the potential of antibody-drug conjugates for cancer therapy.

Authors:  Joshua Z Drago; Shanu Modi; Sarat Chandarlapaty
Journal:  Nat Rev Clin Oncol       Date:  2021-02-08       Impact factor: 65.011

Review 7.  Recent Advances in NAMPT Inhibitors: A Novel Immunotherapic Strategy.

Authors:  Ubaldina Galli; Giorgia Colombo; Cristina Travelli; Gian Cesare Tron; Armando A Genazzani; Ambra A Grolla
Journal:  Front Pharmacol       Date:  2020-05-12       Impact factor: 5.810

Review 8.  Antibody-Drug Conjugates: The Last Decade.

Authors:  Nicolas Joubert; Alain Beck; Charles Dumontet; Caroline Denevault-Sabourin
Journal:  Pharmaceuticals (Basel)       Date:  2020-09-14

Review 9.  Antibody-Drug Conjugates for Cancer Therapy.

Authors:  Umbreen Hafeez; Sagun Parakh; Hui K Gan; Andrew M Scott
Journal:  Molecules       Date:  2020-10-16       Impact factor: 4.411

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Review 1.  Mechanism research and treatment progress of NAD pathway related molecules in tumor immune microenvironment.

Authors:  QinChen Xu; Xiaoyan Liu; Ghazal Mohseni; Xiaodong Hao; Yidan Ren; Yiwei Xu; Huiru Gao; Qin Wang; Yunshan Wang
Journal:  Cancer Cell Int       Date:  2022-07-30       Impact factor: 6.429

  1 in total

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