ABSTRACT
Monoclonal antibody–based immunotherapies have achieved remarkable clinical success but remain limited by variable patient responses, immune‐related toxicities, and the complexity of antibody production. Antibody‐recruiting molecules (ARMs) offer an alternative strategy by harnessing endogenous antibodies to induce immune‐mediated tumor clearance; however, their therapeutic efficacy is often constrained by insufficient antibody recruitment arising from weak hapten–antibody interactions. Here we report a receptor‐triggered supramolecular assembly strategy that converts monovalent antibody recruiters into multivalent immunotherapeutic platforms directly on cancer cell surfaces. An EGFR‐targeting peptide (GE11) was conjugated with a dinitrophenyl (DNP) hapten and a short self‐assembly motif to afford a monomeric construct that undergoes EGFR‐mediated in situ self‐assembly into fibrillar networks on EGFR‐overexpressing cells. This receptor‐guided supramolecular transformation generates a high‐density multivalent display of haptens on the cell membrane, enabling efficient recruitment of endogenous anti‐DNP antibodies. The resulting assemblies induce potent complement‐dependent cytotoxicity (CDC) against EGFR‐positive cancer cells in vitro and produce significant antitumor efficacy in tumor‐bearing mouse models with minimal systemic toxicity. This work establishes receptor‐mediated peptide self‐assembly as a general supramolecular strategy for transforming monovalent antibody recruiters into multivalent immunotherapeutic platforms, providing a new framework for the design of selective ARMs for cancer immunotherapy.
Keywords: cancer immunotherapy, EGFR‐targeting peptide, endogenous antibodies, multivalent effect, self‐assembly
Receptor‐triggered supramolecular self‐assembly converts monovalent antibody‐recruiting molecules into multivalent platforms directly on cancer cell membranes. The resulting fibrillar assemblies present clustered haptens that efficiently recruit endogenous antibodies, enabling selective complement‐mediated immune killing of EGFR‐positive cancer cells.

1. Introduction
Therapeutic monoclonal antibodies (mAbs) constitute a central pillar of modern cancer immunotherapy; however, their clinical utility is frequently constrained by immune‐related adverse events, limited patient response rates, and the high cost and complexity of protein production [1]. In addition, the generation of anti‐drug antibodies remains an unresolved immunogenicity challenge for antibody‐based therapeutics [2]. These limitations have stimulated the development of alternative strategy that harnesses endogenous antibodies to activate immune effector functions without the administration of exogenous proteins [3]. In this context, antibody‐recruiting molecules (ARMs) have emerged as a promising class of synthetic immune therapeutics, typically composed of an antibody‐binding domain (ABD) and a target‐binding domain (TBD), enabling the formation of ternary complexes between cancer cells and circulating antibodies [4]. To date, diverse tumor‐associated receptors, including folate receptor, integrin αVβ3, PSMA, and uPAR, have been exploited as anchoring sites for ARMs [5, 6, 7]. Despite these advances, most reported ARMs rely on monovalent interactions at both the antibody‐ and target‐binding interfaces, resulting in inefficient antibody recruitment due to the intrinsically weak affinity between haptens and antibodies, as well as steric shielding by the tumor glycocalyx [8]. To enhance antibody recruitment, antibody‐recruiting polymers (ARPs) have been developed to present multivalent ABD and/or TBD motifs [9, 10, 11, 12]. These polymeric approaches significantly increase avidity but often lack precise control over spatial presentation and cellular selectivity. Moreover, nonspecific membrane anchoring and the use of synthetic polymer scaffolds raise concerns regarding off‐target effects and biocompatibility [13]. Consequently, a central challenge in ARM design is how to generate cell‐selective multivalent hapten displays from small‐molecule recruiters without relying on permanently multivalent synthetic scaffolds, which may compromise selectivity, pharmacokinetics, and translational feasibility.
Supramolecular self‐assembly offers a powerful chemical strategy for converting discrete molecular building blocks into higher‐order architectures through noncovalent interactions [14, 15]. Among these systems, peptide‐based self‐assembly is particularly attractive owing to its structural programmability, biodegradability, and intrinsic biocompatibility [16, 17, 18, 19, 20, 21]. Importantly, supramolecular assembly can transform weak monovalent interactions into strong multivalent binding through spatial clustering, a fundamental principle widely utilized in biological recognition processes [22]. Recent studies have shown that peptide self‐assembly on cell membranes can generate nanofibrous networks that actively modulate cellular behavior [23, 24, 25, 26, 27, 28]. In particular, tumor‐overexpressed receptors can further promote the localized accumulation and organization of monomeric precursors via ligand–receptor interactions, thereby triggering receptor‐mediated molecular assembly on the cell surface [29]. Such membrane‐confined assemblies create functional supramolecular interfaces directly on living cells and have been explored for regulating cell signaling, inhibiting metastasis, and enhancing drug retention [30, 31, 32, 33, 34, 35, 36, 37]. Despite these advances, the application of peptide self‐assembly to generate cell‐selective multivalent hapten displays for endogenous antibody recruitment in cancer immunotherapy remains largely unexplored.
To address the intrinsically weak affinity of small‐molecule haptens for endogenous antibodies, we report a receptor‐triggered supramolecular assembly strategy that enables multivalent hapten presentation through in situ molecular assembly on cancer cell membranes. Using a modular molecular design, we constructed monomeric peptide‐based antibody recruiters comprising an EGFR‐targeting peptide (GE11), a dinitrophenyl (DNP) hapten, and a short self‐assembly motif. A PEG linker was incorporated to optimize solubility and pharmacokinetic behavior. Upon binding to EGFR on cancer cell membranes, these monomers undergo receptor‐guided in situ supramolecular polymerization into fibrillar networks, thereby generating a spatially confined, high‐density multivalent hapten display directly on the cell surface (Figure 1A). The resulting supramolecular assemblies efficiently recruit anti‐DNP antibodies and induce complement‐dependent cytotoxicity (CDC) against EGFR‐positive cancer cells in vitro [38]. Furthermore, evaluation in tumor‐bearing mouse models demonstrates pronounced antitumor efficacy with minimal systemic toxicity. It is worth noting that Wang et al. recently developed a peptide self‐assembly antibody recruitment strategy (SARS) for tumor immunotherapy that is similar to ours [39]. By integrating receptor‐mediated peptide self‐assembly with hapten‐based antibody recruitment, this work establishes a supramolecular design framework for transforming monovalent recruiters into multivalent immunotherapeutic platforms, providing a new opportunity for cancer immunotherapy.
FIGURE 1.

Concept of receptor‐triggered peptide self‐assembly for antibody recruitment. (A) Binding of the monomeric constructs to EGFR on the cancer cell membrane induces in situ supramolecular polymerization into fibrillar networks. The resulting multivalent display of DNP haptens efficiently recruits endogenous anti‐DNP antibodies to the cell surface, thereby labeling the cancer cell for elimination by innate immune effector mechanisms. (B) Chemical structures of the peptide–hapten conjugates and a schematic illustration of their receptor‐mediated supramolecular self‐assembly process.
2. Results and Discussion
2.1. Design and Synthesis of Peptide‐Hapten Conjugates
Based on the aforementioned rationale, a series of peptide‐based antibody recruiters (P1–P4) were designed to integrate three functional modules: an EGFR‐targeting peptide (GE11), a dinitrophenyl (DNP) hapten for antibody binding, and a self‐assembly motif. Diphenylalanine (FF) was selected as the supramolecular backbone owing to its well‐established propensity for β‐sheet‐driven assembly into ordered nanostructures, while P4, which lacks the FF motif, was designed as a non‐self‐assembling control molecule (Figure 1). The EGFR‐binding sequence YHWYGYTPQNVI (GE11) was introduced at the C‐terminus to confer receptor specificity, while glycine (G) and poly(ethylene glycol) (PEG) linkers of varying lengths were incorporated to modulate hydrophilicity and flexibility. To generate P1‐P4, GE11 peptide was conjugated with PEG‐modified DNP derivatives S‐1−S‐3, respectively (Figure 2). All compounds were fully characterized by liquid chromatography–mass spectrometry (LC–MS), high‐performance liquid chromatography (HPLC), and 1H Nuclear magnetic resonance (1H NMR), confirming their identity and purity (Figures S3–S21).
FIGURE 2.

Synthetic route of GE11‐DNP Conjugates and their derivatives. Reagents and conditions: (a) 20% piperidine solution (dissolved in DMF), 20 min; (b) succinic anhydride, DIEA, DMF, r.t., 3 h; (c) compound S‐1/S‐2/S‐3, HCTU, DIEA, DMF, r.t., 10 h; (d) TFA/H2O/TIS (95:2.5:2.5), r.t., 3 h.
2.2. Receptor‐Triggered Self‐Assembly Enables Multivalent Antibody Recruitment
Given the EGFR‐targeting capability of GE11, the resulting GE11‐DNP conjugates were expected to selectively decorate EGFR‐positive tumor cells and recruit anti‐DNP antibodies. HeLa cells, which overexpress EGFR as verified by western blot analysis (Figure S22a), were therefore employed as a model system. Immunofluorescence imaging was first employed to evaluate antibody recruitment. As shown in Figure 3A, only punctate green fluorescence was detected on the membrane of cells treated with P1 and P2, whereas intense and widespread green fluorescence was observed on the cell membrane after treatment with P3, further confirmed by 3D reconstructed imaging (Figure S23a,b). In contrast, negligible signal was observed in the control, P4‐treated, and GE11‐only groups. These results demonstrate that effective antibody recruitment requires the presence of targeting (GE11), antibody‐binding (DNP) motifs, and self‐assembly motifs. Moreover, the confocal images implied that antibody recruitment efficiency correlates with PEG linker length, identifying P3, which contains a PEG6 spacer, as providing the most favorable balance between hapten accessibility and receptor anchoring. Flow cytometry analysis further substantiated these observations, showing that treatment with 20 µm P1, P2, and P3 resulted in progressively enhanced fluorescence intensities (Figure 3B).
FIGURE 3.

Antibody recruitment and supramolecular assembly of peptide–hapten conjugates on EGFR‐positive cells. (A) Immunofluorescence images of HeLa cells treated with 20 µM GE11, P1, P2, P3, P4, DNP, or PBS for 3 h. Scale bar: 5 µm. (B) Flow cytometry analysis of anti‐DNP antibody recruitment by P1, P2, and P3 for 3 h. (C) Flow cytometry analysis of anti‐DNP antibody recruitment induced by P3 and P4 after 3 h incubation. (D) Flow cytometry analysis of anti‐DNP antibody recruitment by P3 and P4 at various time point. (E) TEM images of P3 and P4 incubated with EGFR protein or PBS for 24 h. Scale bar: 50 nm. (F) Determination of the CAC of P3 by the ratio of pyrene fluorescence intensities at 373 nm (I1) and 384 nm (I3) as a function of peptide concentration. (G) The binding affinity between GE11/P3 and EGFR was measured by MST assays.
Next, to directly evaluate the contribution of supramolecular self‐assembly on antibody recruitment. P3, which exhibits the strongest recruitment capability, and P4, which shares a similar sequence but lacks the diphenylalanine (FF) self‐assembly motif, were selected as comparative model systems. Quantitative flow cytometry analysis, consistent with this design principle, revealed that P3 exhibited markedly enhanced, concentration‐ and time‐dependent antibody recruitment relative to P4. Specifically, at the concentration of 10 and 20 µm, P3 yielded normalized mean fluorescence intensity (MFI) values of 5.4 and 11.8, respectively, after 3 h incubation, corresponding to 4.6‐ and 9.4‐fold enhancements over P4, respectively. Likewise, time‐dependent measurements at 20 µM revealed normalized MFI values of 11.3 at 1 h and 16.5 at 24 h, representing 7.3‐ and 11.8‐fold increases relative to P4. The fluorescence intensity associated with P3 increased rapidly within the first 3 h and then reached a plateau, consistent with progressive accumulation and receptor‐guided self‐assembly of P3 on the cell surface (Figure 3D). In addition to enhancing antibody recruitment, supramolecular assembly also improved molecular stability. Stability assays in 30% fetal bovine serum (FBS) showed that P3 retained approximately 28.0% of its initial concentration after 8 h of incubation, whereas P4 was completely degraded under identical conditions (Figure S27). Collectively, these results demonstrate that supramolecular self‐assembly not only amplifies antibody recruitment through multivalent hapten presentation, but also markedly enhances molecular stability and circulation persistence in biological media, thereby achieving superior therapeutic efficacy.
2.3. Supramolecular Assembly Enhances Antibody Recruitment Efficiency
To further elucidate the role of supramolecular assembly in antibody recruitment, we investigated the assembly behavior of P3 and P4 by transmission electron microscopy (TEM). P3 alone predominantly formed amorphous aggregates, whereas incubation of P3 (10 µM) with EGFR (25 nM) induced the formation of extended fibrillar networks (Figure 3E). In contrast, no ordered assemblies were observed for P4 under identical conditions. These results indicate that the self‐assembly motif is essential for supramolecular polymerization and further suggest that EGFR may serve as a nucleating or organizing scaffold that promotes receptor‐triggered in situ assembly of P3 into fibrillar architectures on the cell membrane [40, 41]. As shown in Figure S25, P3 underwent receptor‐triggered morphological transformation into extended fibrillar networks in BTP buffer (pH 7.4), PBS (pH 6.5), and PBS (pH 8.5). These results indicate that the supramolecular assembly of P3 is tolerant to the tested buffer and pH variations, supporting the robustness of receptor‐triggered assembly under physiologically relevant conditions. The critical aggregation concentration (CAC) of P3 was determined to be 6.5 µm (Figure 3F). We next examined whether supramolecular modification affected the EGFR‐binding capability of P3. Microscale thermophoresis (MST) measurements showed that P3 retained a high affinity for EGFR (Kd = 0.77 µm), comparable to that of the parental ligand GE11 (Kd = 0.47 µM). Collectively, these findings establish that receptor‐triggered self‐assembly is a critical determinant of antibody recruitment efficiency. The conversion of monomeric P3 into supramolecular fibrillar networks generates a high‐density, multivalent display of DNP haptens directly on the cancer cell surface, thereby markedly enhancing anti‐DNP antibody binding through avidity effects.
To further evaluate the recruitment capacity and selectivity of P3 toward anti‐DNP antibodies, we performed immunofluorescence studies using both human and mouse anti‐DNP antibodies. As shown in Figure 4A, prominent fluorescent signals were observed on the cell membranes of EGFR‐positive cell lines, including HeLa, MDA‐MB‐231, and A549, whereas negligible signals were detected in EGFR‐negative NHDF cells. These results demonstrate that antibody recruitment by P3 is dependent on the presence of the target receptor. We next compared the antibody‐recruiting capability of P3 and P4 in tumor tissue. Subcutaneous HeLa tumors were established in BALB/c nu/nu mice, excised, and sectioned. The tissue sections were treated with P3 or P4, followed by incubation with anti‐DNP antibodies and AF488‐labeled secondary antibodies, according to the experimental workflow shown in Figure 4B. Confocal microscopy revealed substantially stronger anti‐DNP antibody recruitment in P3‐treated tumor sections than in P4‐treated sections (Figure 4C). In particular, P3 induced pronounced antibody accumulation at tumor cell membranes, together with signals associated with higher‐order supramolecular structures, whereas P4 showed minimal antibody recruitment. These observations are consistent with the flow cytometry results obtained in vitro, which demonstrated markedly enhanced antibody recruitment by P3 compared with P4. On the basis of its receptor‐triggered assembly, preserved EGFR‐binding capability, and superior antibody‐recruiting activity, P3 was selected for subsequent mechanistic and therapeutic studies.
FIGURE 4.

Supramolecular assembly of P3 enhances antibody recruitment in EGFR‐positive cells and tumor tissues. (A) Immunofluorescence images of NHDF, HeLa, MDA‐MB‐231, and A549 cells treated with 10 µm P3 for 3 h, followed by incubation with human or mouse anti‐DNP antibodies (20 µg/mL). Scale bar: 5 µm. (B) Schematic illustration of the experimental workflow for evaluating P3‐, P4‐, and GE11‐mediated antibody recruitment in HeLa tumor tissues. (C) Confocal microscopy images of HeLa tumor tissue sections treated with P3, P4, or GE11, followed by incubation with anti‐DNP antibodies and AF488‐labeled secondary antibodies. Scale bars: 50 µm for large‐field images and 20 µm for magnified images.
2.4. Receptor‐Mediated Assembly Governs Selective Cell Surface Localization
Next, we examined whether the GE11–DNP conjugates could selectively recruit anti‐DNP antibodies to EGFR‐positive cells, thereby validating the receptor‐mediated recruitment mechanism. As expected, pretreatment or co‐incubation with free GE11 as a competitive EGFR ligand markedly attenuated fluorescence signals on HeLa cell membranes (Figure 5A). A corresponding decrease in normalized MFI was also observed by flow cytometry (Figure 5C), confirming the EGFR dependence of antibody recruitment by P3. We further evaluated the cellular selectivity of P3 by comparing its antibody‐recruiting activity in EGFR‐positive HeLa, MDA‐MB‐231, and A549 cells with that in EGFR‐negative normal human dermal fibroblasts (NHDF; Figure S22). Confocal fluorescence imaging revealed strong membrane‐associated fluorescence in all three EGFR‐positive cancer cell lines following P3 treatment, whereas only weak fluorescence was detected in NHDF cells under identical conditions (Figure 5A,B). These observations were corroborated by flow cytometry, which showed that the normalized MFI of HeLa cells reached 6.5, corresponding to a 2.3‐fold increase relative to NHDF cells (Figure 5D). Collectively, these results demonstrate that P3 exhibits high selectivity toward cells with elevated EGFR expression.
FIGURE 5.

EGFR‐dependent selectivity, supramolecular assembly, and immune activation of P3. (A) Immunofluorescence images of HeLa cells incubated with 10 µm GE11, P3, and GE11+P3 (EGFR competition) for 3 h. Scale bar: 5 µm. (B) Immunofluorescence images of MDA‐MB‐231 and A549 cells incubated with 10 µm P3 for 3 h. Scale bar: 5 µm. (C) Flow cytometry analysis of anti‐DNP antibody recruitment induced with10 µM GE11, P3, and GE11+P3 on HeLa cells for 3 h. (D) Flow cytometry analysis of anti‐DNP antibody recruitment induced with 10 µm P3 on HeLa and NHDF cells for 3 h. (E,F) Pseudocolor scanning electron microscopy (SEM) images showing fibrillar networks of P3 (green) assembled on the membranes of HeLa cells (E) and NHDF cells (F) (yellow) after incubation with 100 µm P3 for 24 h. Scale bar: 2 µm. (G) Cell viability of NHDF, HeLa, MDA‐MB‐231, and A549 cells after 48 h incubation with 100 µm P3 or P4, as determined by a CCK‐8 assay. (H) Complement‐dependent cytotoxicity (CDC) induced by 10 µm GE11, P3, or P4 in NHDF, HeLa, MDA‐MB‐231, and A549 cells after 3 h incubation, followed by treatment with 10% rabbit complement (RC) for 10 h.
To directly visualize the selective self‐assembly of P3 on cell membranes, scanning electron microscopy (SEM) was employed to examine membrane surface morphologies. Untreated HeLa and NHDF cells displayed smooth membrane surface (Figure 5E,F; Figure S26a,b). After incubation with P3 for 3 h, extensive fibrillar network structures were clearly observed on the surfaces of HeLa cells (Figure 5E; Figure S26a). In contrast, no such assemblies were detected on NHDF cells treated with P3 (Figure 5F; Figure S26b). These observations indicate that P3 selectively binds to EGFR‐overexpressing tumor cells and undergoes receptor‐triggered self‐assembly into fibrillar networks on the cell membrane.
2.5. Supramolecular Assembly Induces Selective Immune Activation via CDC
Having established the selective recruitment of anti‐DNP antibodies to EGFR‐positive cells, we next investigated whether membrane‐bound antibodies could activate complement‐dependent cytotoxicity (CDC). For CDC assays, cells were treated with PBS, 10 µm GE11, P3, or P4 in the presence of anti‐DNP antibodies and 10% rabbit complement (RC), followed by quantification of cell lysis using a CCK‐8 assay. As shown in Figure 5D,G and Figure S27, HeLa MDA‐MB‐231 and A549 cells treated with P3 exhibited a cell lysis at range of 20.4%–39.2%, consistent with its superior antibody recruitment capability among all tested compounds. In contrast, NHDF cells (EGFR‐negative) showed minimal lysis (0.5%), comparable to those observed for PBS and P4 controls. These results demonstrate that hapten functionalization confers immune effector activity on the targeting peptide GE11 by enabling endogenous antibody recruitment, and that CDC‐mediated cytotoxicity induced by P3 is highly selective for EGFR‐positive tumor cells. Importantly, P3 exhibited no detectable cytotoxicity toward primary human blood cells at concentrations up to 100 µM after 24 h of incubation (Figure S28). Taken together, these findings suggest that, in vivo, P3 is expected to achieve enhanced antitumor efficacy through the receptor targeting, supramolecular self‐assembly, and multivalent antibody‐mediated immune activation, surpassing the therapeutic potential of GE11 alone.
2.6. In Vivo Antitumor Efficacy and Biosafety Evaluation
To evaluate the antitumor efficacy of the GE11‐DNP conjugates, BALB/c mice were immunized with OVA‐DNP to obtain the anti‐DNP serum (Figures S29 and S30), and BALB/c nude mice were subcutaneously implanted with HeLa. HeLa subcutaneous xenograft models were treated every two days with P3 or P4 at a dose of 10 mg kg− 1. After two weeks of treatment, tumors were excised for photographic documentation, weighing, and quantitative analysis (Figure 6A). P3 demonstrated marked superior antitumor activity compared to P4 (Figure 6B–D). Mice treated with P3 showed a pronounced suppression of tumor growth, with a mean tumor volume of 264.1 mm3, versus 1264.3 mm3 for PBS‐treated and 1003.0 mm3 for P4‐treated mice. Accordingly, the tumor growth inhibition (TGI) rate of P3 reached 79.1%, substantially higher than that of P4 (20.7%). These results demonstrate that incorporation of a self‐assembly motif enhances the in vivo antitumor efficacy of GE11–DNP conjugates in the presence of anti‐DNP antibodies.
FIGURE 6.

In vivo antitumor efficacy and biosafety evaluation. (A) Schematic illustration of the treatment regimen for subcutaneous HeLa tumor–bearing mice receiving PBS, P3 (10 mg kg− 1), or P4 (10 mg kg− 1) by peritumoral injection every two days. (B) Representative photographs of excised HeLa tumors on day 14. (C) Tumor growth curves of HeLa xenograft–bearing mice subjected to indicated treatments over 14 days (n = 6 biologically independent mice). (D) Tumor weights of the different treatment groups on day 14. (E) Body weight changes of mice in each treatment group during the 14‐day treatment period. (F–L) Organ weights and systemic toxicity indicators, including hematological parameters (HGB, PLT, RBC, and WBC) and liver function markers (AST and ALT), measured after sacrifice on day 14. (n = 6).
The systemic safety profile of P3 was subsequently assessed. No significant differences in body weight were observed among the treatment groups throughout the study (Figure 6E), and the organ weights of mice treated with P3 were comparable to those of the PBS group (Figure 6F). Serum biochemical markers of hepatotoxicity (AST and ALT) and hematological parameters (HGB, PLT, RBC, and WBC) remained within normal ranges (Figure 6G–L). Histological examination of major organs revealed no evidence of inflammatory infiltration or necrotic lesions (Figure S31), confirming the absence of overt systemic toxicity. Examination of tumor tissues further supported the therapeutic efficacy of P3. Hematoxylin and eosin (H&E) staining showed densely packed tumor cells with intact nuclear morphology in the PBS and P4 groups, consistent with continued tumor growth, whereas tumors from P3‐treated mice displayed extensive necrotic regions with sparse cells and nuclear condensation (Figure S32). Collectively, these results establish P3 as an effective peptidomimetic immunotherapeutic that selectively targets EGFR‐positive tumors while maintaining a favorable in vivo safety profile.
3. Conclusion
In summary, we have established a receptor‐triggered supramolecular self‐assembly strategy that enables highly efficient endogenous antibody recruitment on EGFR‐positive cancer cell membranes. A monomeric GE11‐DNP conjugate incorporating a short self‐assembly motif undergoes EGFR‐mediated in situ polymerization into fibrillar networks, thereby generating a spatially confined, multivalent hapten display. This supramolecular transformation substantially enhances antibody recruitment relative to non‐assembling analogues and leads to robust complement‐dependent cytotoxicity against EGFR‐overexpressing cancer cells in vitro, as well as pronounced antitumor efficacy in vivo. Beyond its immediate therapeutic impact, this work introduces a general chemical principle for transforming monovalent hapten‐based recruiters into multivalent immunotherapeutic platforms through receptor‐guided self‐assembly. Notably, the intrinsic aggregation tendency of P3 in the absence of EGFR binding represents an important consideration for its further in vivo development. This limitation could potentially be addressed through molecular engineering of the self‐assembly motif and incorporation of additional hydrophilic functionalities. For example, hydrophilic or stimulus‐responsive motifs, including phosphatase‐responsive phosphate groups or glucose‐derived units, could be introduced to improve aqueous solubility and suppress nonspecific aggregation while retaining receptor‐triggered assembly [42, 43]. Such molecular optimization may further improve the balance between systemic stability, tumor accumulation, and target‐cell‐selective supramolecular assembly. The modularity of this molecular design permits straightforward adaptation to alternative targeting ligands and hapten motifs, offering a versatile and tunable framework for the development of next‐generation antibody‐recruiting systems.
4. Experimental Section
4.1. Materials
Fmoc‐protected amino acid, 2‐chlorotrityl chloride resin, and 2‐(1H‐benzotriazol‐1‐yl)‐1,1,3,3‐tetramethyluronium hexafluorophosphate (HBTU) were obtained from GL Biochem (Shanghai, China). N,N‐diisopropylethylamine (DIPEA), 2,2,2‐trifluoroethanol (TFE), trifluoroacetic acid (TFA), and triisopropylsilane were purchased from Energy Chemical (Shanghai, China). Methyl thiazolyl tetrazolium Cell Counting Kit‐8 (CCK‐8) was sourced from APExBIO (Houston, TX). DMEM was acquired from Gibco (Shanghai, China), and fetal bovine serum (FBS) was purchased from Adamas‐life (Shanghai, China). Hoechst and OVA were obtained from Thermo Fisher Scientific Inc. (Waltham, MA). Anti‐DNP antibody was procured from Seebio Biotech Co., Ltd. (Shanghai, China). Rabbit complement was supplied by Pel‐Freez Biologicals (Rogers, AR). Alexa Fluor 488‐labeled goat anti‐rabbit antibody (H+L), anti‐β‐actin, and anti‐EGFR antibody were purchased from Proteintech Group, Inc. (Wuhan, China). All other reagents were obtained from commercial sources if not otherwise indicated.
4.2. Cell Culture
HeLa and NHDF cell lines were cultured in DMEM medium (Gibco) supplemented with 10% FBS (Tansoole) and 1% penicillin‐streptomycin (Adamas Life). Both cell lines were cultured at 37°C in a humidified incubator with a 5% CO2 atmosphere.
4.3. Antibody Recruiting Capacity Assay
Immunofluorescence Assay. HeLa or NHDF cells were seeded in confocal dishes and cultured overnight in DMEM supplemented with 10% FBS. Following this incubation, the cells were treated with PBS, P1, P2, P3, P4, or GE11 at 37°C for 3 h. After treatment, the cells were washed with PBS and fixed with 4% formaldehyde for 15 min. They were blocked with 2% BSA in PBS for 1 h. Subsequent to blocking and PBS washing, the cells were incubated with rabbit anti‐DNP antibody (20 µg/mL, in 1% BSA) for 15 min, followed by a 1 h incubation in the dark with Alexa Fluor 488‐labeled goat anti‐rabbit antibody (H+L) at a 1:1000 dilution. Nuclei were stained with Hoechst for 15 min, and the cells were washed three times with PBS. Finally, 1 mL of PBS was added to the dishes, which were immediately transferred to a microscope stage for imaging. Cell imaging was initiated immediately, with the imaging parameters being kept constant throughout the experiment.
Flow Cytometry Assay. After incubation with PBS, P1, P2, P3, P4, or GE11 at 37°C for 3 h, the cells were harvested and fixed with 4% formaldehyde for 15 min. Fixed cells were then blocked with 2% BSA in PBS for 1 h. Following the PBS wash, the cells were incubated for 1 h with rabbit anti‐DNP antibody (20 µg/mL, in 1% BSA), and subsequently for 1 h in the dark with Alexa Fluor 488‐labeled goat anti‐rabbit antibody (H+L) at a 1:1000 dilution. After a final wash, the cell suspensions were filtered through a 200‐mesh sieve and analyzed by flow cytometry.
4.4. Critical Aggregation Concentration (CAC) Measurements
In a typical experiment, a series of solution P3 or P4 at different concentrations were prepared in PBS buffer. After incubating with Pyrene (20 µm) in 37°C for 24 h, the fluorescence spectra were recorded between 360 and 450 nm (λex = 334 nm) to determine the CAC.
4.5. Transmission Electron Microscopy (TEM) Imaging
Stock solutions of P3 and P4 were prepared in PBS at concentrations of 20 µm, while epidermal growth factor receptor (EGFR) was diluted to 50 nm in PBS. Four distinct sample mixtures were subsequently formulated and incubated for a total of 24 h within 37°C: (1) 10 µL of 20 µm P3 combined with 10 µL PBS, (2) 10 µL of 20 µm P3 mixed with 10 µL of 50 nM EGFR, (3) 10 µL of 20 µm P4 added to 10 µL PBS, and (4) 10 µL of 20 µm P4 blended with 10 µL of 50 nm EGFR. All solutions were equilibrated to room temperature prior to further processing. 10 µL solution sample was dropped onto super thin carbon‐coated copper grids (400 meshes) and allowed to sit for 1 min at room temperature. Then, excess sample solution was removed by gently blotting the edge of the grid with filter paper. Next, the grid was washed with 10 µL D.I. water for 1 min at room temperature. The extra D.I. water was removed from the edge of grid with filter paper (repeat this step 3 times). Finally, 10 µL uranyl acetate (1% v/v) was dropped onto the sample side of the grid and left for 1 min. The extra uranyl acetate was removed from the edge of grids with filter paper (repeat this step 3 times). The grid was then air‐dried before imaging. Images were taken with a JEOL JEM‐2100Plus transmission electron microscope.
4.6. Stability Experiment
In a typical experiment, 50 µL of 1 wt% solution of P3 and P4 was treated with 200 µL 30% FBS at 37°C with shaking of 50 rpm. The sample was taken out at the desired time and mixed with 110 µL of acetonitrile. The samples were then analyzed and quantified by analytical HPLC. Each time point was performed in triplicate.
4.7. Scanning Electron Microscopy (SEM) Imaging
HeLa and NHDF cells were treated with 100 µM P3 for 24 h. After incubation, the cells were washed three times with PBS and fixed with 4.0% formaldehyde in PBS for 10 min at room temperature. Following three additional PBS washes, the samples were dehydrated through a graded ethanol series (70, 75, 80, 85, 90%, 95%, and 100% in deionized water) and then placed in 100% tertiary butanol. Finally, the dehydrated samples were lyophilized, and the resulting powder was mounted on copper tape, sputter‐coated with gold, and observed using a scanning electron microscope (Hitachi S‐4800).
4.8. Western Blotting Assay
HeLa and NHDF cells were seeded in six‐well plate and cultured for 24 h. After incubation, the cells were lysed in RIPA lysis buffer and boiled in sodium dodecyl sulfate sample (SDS) loading buffer. The samples were separated by electrophoresis on 10% SDS‐polyacrylamide gels and transferred onto a PVDF membrane (Millipore). The membranes were blocked with 5% non‐fat dried milk in PBS buffer for 1 h, followed by incubation with primary antibodies overnight at 4°C, and then with secondary antibodies for 1 h at room temperature. Protein blots were finally detected using a chemiluminescence detection kit.
4.9. Hemolysis
Hemolysis investigations were conducted by procuring freshly drawn blood from rats into heparinized tubes, followed by subjecting it to centrifugation at a speed of 3000 rpm for a duration of 10 min at a temperature of 4°C. The Red blood cells (RBCs) were washed three times with hemolysis buffer (10 mm Tris, 150 mm NaCl, pH 7.4) and resuspended in the same buffer to a final concentration of 0.25% (v/v). In a 96‐well plate, a volume of 75 µL of the RBC solution was admixed with an equivalent amount of a 2 × P3 solution, previously dissolved in the hemolysis buffer, to initiate the assay. Negative and positive controls were established using a blank and a buffer containing 1% Triton‐X100, respectively. After incubating the plate for 24 h under gentle agitation, it was centrifuged at 4000 rpm for 10 min at 4°C. Following this, a volume of 100 µL of the supernatant from each well was extracted and transferred to an empty 96‐well plate. The absorbance was then measured at a wavelength of 415 nm utilizing a microplate reader.
4.10. Cell Viability Assay
HeLa and NHDF cells were seeded in 96 plates at a density of 5000/well and continued to culture overnight at a 37°C, 5% CO2 incubator. Peptide stock solution was prepared in water (containing 1% DMSO) and subsequently diluted to a series of working concentrations. Cells were incubated with peptide work solution for 24 or 48 h. Then the 100 µL 10 %(v/v) CCK8 solution was added to the plate well for 1 h. After incubation, the plates were subjected to the microplate reader to record 450 nm data. The absorbance of the negative controls was subtracted from each sample as a control, and the percent viability was calculated as follows: (Absorbance peptide‐treated cells / Absorbance untreated cells) ×100%. GraphPad Prism 8.0 software was used to fit cytotoxicity curves and calculated IC50 values with a non‐linear regression model.
4.11. In Vitro Anti‐Tumor Activity Assay Mediated by CDC
HeLa or NHDF cells were seeded in 96‐well plates at a density of 8 × 103 cells per well and cultured for 24 h. Then, the cells were treated with 100 µL of GE11 and GE11‐DNP conjugates at a concentration of 10 µm for 3 h. After washing, the cells were incubated with rabbit anti‐DNP antibody (40 µg/mL) for 1 h, followed by incubation with rabbit complement (1:10 dilution) at 37°C for 10 h. The cell viability was finally measured by the CCK8 kit. The specific cytotoxicity was calculated using the equation CDC (%) = [(Ac − As)/(Ac − Amax)] × 100%, where Ac is the A450 value of cells treated with PBS, As is the A450 value of cells treated with GE11‐DNP conjugates, and Amax is the A450 value of cells completely lysed with 1% Triton X‐100.
4.12. ELISA Protocol for DNP‐Antibody Titer Determination
The mouse DNP‐specific IgE antibody (DNP‐sIgE) quantitative detection kit was purchased from LunChangShuo Biotechnology Co., Ltd. Both the kit and samples were equilibrated at room temperature (25–28°C) for 60 min to ensure thorough temperature stabilization. Standard wells, sample wells, and blank wells were set up. A total of 50 µL of standard at different concentrations was added to the standard wells. 50 µL of test sample (appropriately diluted if necessary) was added to the sample wells, and 50 µL of sample dilution buffer was added to the blank wells. Then, 100 µL of horseradish peroxidase (HRP)‐labeled detection antibody was added to each well. The plate was sealed with a plate sealer and incubated at 37°C in a water bath or incubator for 45 min. After discarding the liquid, the plate was blotted dry on absorbent paper. Each well was filled with 350 µL of wash buffer, allowed to stand for 20 s, and then emptied. The plate was blotted dry again, and this washing process was repeated five times. Subsequently, 50 µL each of substrate A and substrate B was added to every well, followed by incubation at 37°C in the dark for 15 min. Finally, 50 µL of stop solution was added to each well, and the optical density (OD) at 450 nm was measured within 15 min.
4.13. In Vivo Antitumor Efficacy
All animal experiments were conducted in accordance with guidelines set forth by the Animal Protection and Ethics Committee of Hunan University and in compliance with the approved protocol by the Institutional Animal Care and Use Committee (IACUC) (Approval Number: HNU‐IACUC‐2021‐102). Female BALB/c nude mice (4 weeks old) were purchased from Gempharmatech Co., Ltd. HeLa cells were suspended in PBS at a density of 8 × 107 cells/mL and injected subcutaneously with 100 µL into the right flank of the nude mice. After tumor implantation for 3 weeks, mice with tumor volumes ranging from 100–120 mm3 were grouped and started to receive intraperitoneal administration of 100 µL of anti‐DNP mouse serum every other day. P3 and P4 were formulated in PBS and administered subcutaneously at a dose of 5 or 10 mg/kg. The control group received equal volumes of PBS. The tumor sizes of mice were measured, and the corresponding tumor volumes were calculated by the formula V (mm3 ) = 0.5 LW2 (L, length; W, width). All mice were sacrificed at the end of the 14‐days treatment cycle. The weights of the tumor were determined after the mice were dissected, followed by the H&E staining analysis of fixed tissue (tumor, heart, liver, spleen, lung, and kidney) with 4% paraformaldehyde.
4.14. Statistical Analyses
Data points were collected and compiled in Microsoft Excel. Statistical analyses were performed using GraphPad Prism software. In all cases, significance was defined as * p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001.
Author Contributions
Yihui Wang: conceptualization, methodology, software, data curation, investigation, formal analysis, Writing – original draft. Xia Wu: conceptualization, methodology, software, data curation, formal analysis, funding acquisition, writing – review and editing, visualization. Chenguang Zhao: investigation, writing – review and editing, validation. Hong Han: investigation, supervision, methodology. Wensha Xie: investigation, validation, methodology. Dan Yuan: funding acquisition, writing – review and editing, resources, validation. Junfeng Shi: funding acquisition, writing – original draft, writing – review and editing, resources, project administration, validation.
Funding
This work was partially supported by the National Natural Science Foundation of China (52573156 to J. Shi, 32401127 to D. Yuan), Natural Science Foundation of Hunan (2024JJ5072 to D. Yuan, 2026JJ50385 to X.W), Natural Science Foundation of Guangdong (2024A1515011057 and 2025A1515012954), Science and Technology and Development Foundation of Shenzhen (JCYJ20230807122008016 and JCYJ20250604190542053 to J. Shi, JCYJ20250604190320027 to X.W).
Conflicts of Interest
The authors declare no conflicts of interest.
Supporting information
Supporting File: advs78074‐sup‐0001‐SuppMat.docx.
Acknowledgements
We appreciated the technical support provided by the Analytical Instrumentation Center of Hunan University.
Contributor Information
Xia Wu, Email: chemwuxia@hnu.edu.cn.
Dan Yuan, Email: yuandan@hnu.edu.cn.
Junfeng Shi, Email: jeff-shi@hnu.edu.cn.
Data Availability Statement
The data that supports the findings of this study are available in the supplementary material of this article.
References
- 1. Paul S., Konig M. F., Pardoll D. M., et al., “Cancer Therapy With Antibodies,” Nature Reviews Cancer 24 (2024): 399–426, 10.1038/s41568-024-00690-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2. Chan A. C., Martyn G. D., and Carter P. J., “Fifty Years of Monoclonals: The Past, Present and Future of Antibody Therapeutics,” Nature Reviews Immunology 25 (2025): 745–765, 10.1038/s41577-025-01207-9. [DOI] [PubMed] [Google Scholar]
- 3. Charles W. Z., Faries C. R., Street Y. T., Flowers L. S., and McNaughton B. R., “Antibody‐Recruitment as a Therapeutic Strategy: A Brief History and Recent Advances,” Chembiochem 23 (2022): 202200092, 10.1002/cbic.202200092. [DOI] [PubMed] [Google Scholar]
- 4. Yu B. and Ma W., “Haptens‐Based Cancer Immunotherapy: From Biomarkers to Translational Advances,” Biomedicine & Pharmacotherapy 189 (2025): 118240, 10.1016/j.biopha.2025.118240. [DOI] [PubMed] [Google Scholar]
- 5. Rullo A. F., Fitzgerald K. J., Muthusamy V., et al., “Re‐Engineering the Immune Response to Metastatic Cancer: Antibody‐Recruiting Small Molecules Targeting the Urokinase Receptor,” Angewandte Chemie International Edition 55 (2016): 3642–3646, 10.1002/anie.201510866. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6. Murelli R. P., Zhang A. X., Michel J., Jorgensen W. L., and Spiegel D. A., “Chemical Control Over Immune Recognition: A Class of Antibody‐Recruiting Small Molecules That Target Prostate Cancer,” Journal of the American Chemical Society 131 (2009): 17090–17092, 10.1021/ja906844e. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7. Carlson C. B., Mowery P., Owen R. M., Dykhuizen E. C., and Kiessling L. L., “Selective Tumor Cell Targeting Using Low‐Affinity, Multivalent Interactions,” ACS Chemical Biology 2 (2007): 119–127, 10.1021/cb6003788. [DOI] [PubMed] [Google Scholar]
- 8. Uvyn A., De Coen R., Gruijs M., et al., “Efficient Innate Immune Killing of Cancer Cells Triggered by Cell‐Surface Anchoring of Multivalent Antibody‐Recruiting Polymers,” Angewandte Chemie International Edition 58 (2019): 12988–12993, 10.1002/anie.201905093. [DOI] [PubMed] [Google Scholar]
- 9. Uvyn A., Vleugels M. E. J., de Waal B., et al., “Hapten/Myristoyl Functionalized Poly(Propyleneimine) Dendrimers as Potent Cell Surface Recruiters of Antibodies for Mediating Innate Immune Killing,” Advanced Materials 35 (2023): 2303909, 10.1002/adma.202303909. [DOI] [PubMed] [Google Scholar]
- 10. Lake B. P. M., Wylie R. G., Bařinka C., and Rullo A. F., “Tunable Multivalent Platform for Immune Recruitment to Lower Antigen Expressing Cancers,” Angewandte Chemie International Edition 62 (2023): 202214659, 10.1002/anie.202214659. [DOI] [PubMed] [Google Scholar]
- 11. Guan P., Guo Z., Xu S., et al., “Molecularly Imprinted Nanobeacons Redirect Innate Immune Killing Towards Triple Negative Breast Cancer,” Angewandte Chemie International Edition 62 (2023): 202301202, 10.1002/anie.202301202. [DOI] [PubMed] [Google Scholar]
- 12. Zhang Z., Li Y., Wang Z., Hong H., and Wu Z., “Engineered Nanobody Chimeras Recruits Anti‐HBV Antibodies for Target Cancer Immunotherapy,” Journal of Medicinal Chemistry 68 (2025): 17189–17201, 10.1021/acs.jmedchem.5c00666. [DOI] [PubMed] [Google Scholar]
- 13. Lin H., Zhou K., Li D., et al., “Dinitrophenol‐Hyaluronan Conjugates as Multivalent Antibody‐Recruiting Glycopolymers for Targeted Cancer Immunotherapy,” Chemmedchem 16 (2021): 2960–2968, 10.1002/cmdc.202100313. [DOI] [PubMed] [Google Scholar]
- 14. Du X., Zhou J., Shi J., and Xu B., “Supramolecular Hydrogelators and Hydrogels: From Soft Matter to Molecular Biomaterials,” Chemical Reviews 115 (2015): 13165–13307, 10.1021/acs.chemrev.5b00299. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15. Li Y., Lu H., Lu L., and Wang H., “Engineering Peptide Self‐Assembly: Modulating Noncovalent Interactions for Biomedical Applications,” Accounts of Materials Research 6 (2025): 447–461, 10.1021/accountsmr.4c00391. [DOI] [Google Scholar]
- 16. Peng M., Peng Q., Li W., et al., “Atomic Insights Into Self‐Assembly of Zingibroside R1 and Its Therapeutic Action against Fungal Diseases,” Advanced Materials 37 (2025): 2503283, 10.1002/adma.202503283. [DOI] [PubMed] [Google Scholar]
- 17. Zhu C., Li T., Wang Z., et al., “MC1R Peptide Agonist Self‐Assembles Into a Hydrogel That Promotes Skin Pigmentation for Treating Vitiligo,” ACS Nano 17 (2023): 8723–8733, 10.1021/acsnano.3c01960. [DOI] [PubMed] [Google Scholar]
- 18. Li Z., Duan S., Zhu Z., et al., “Enzyme‐Activated Self‐Assembling Peptides Mimicking Adiponectin Multimers for Nonalcoholic Fatty Liver Disease Therapy,” ACS Central Science 12 (2026): 243–253, 10.1021/acscentsci.5c02405. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19. Álvarez Z., Kolberg‐Edelbrock A. N., Sasselli I. R., et al., “Bioactive Scaffolds With Enhanced Supramolecular Motion Promote Recovery From Spinal Cord Injury,” Science 374 (2021): 848–856, 10.1126/science.abh3602. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20. Kubota R., Nagao K., Tanaka W., et al., “Control of Seed Formation Allows Two Distinct Self‐Sorting Patterns of Supramolecular Nanofibers,” Nature Communications 11 (2020): 4100, 10.1038/s41467-020-17984-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21. Kaygisiz K., Sementa D., Athiyarath V., Chen X., and Ulijn R. V., “Context Dependence in Assembly Code for Supramolecular Peptide Materials and Systems,” Nature Reviews Materials 10 (2025): 449–472, 10.1038/s41578-025-00782-6. [DOI] [Google Scholar]
- 22. Maan R., Reese L., Volkov V. A., et al., “Multivalent Interactions Facilitate Motor‐Dependent Protein Accumulation at Growing Microtubule Plus‐Ends,” Nature Cell Biology 25 (2023): 68–78, 10.1038/s41556-022-01037-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23. Shi J. and Schneider J. P., “De Novo Design of Selective Membrane‐Active Peptides by Enzymatic Control of Their Conformational Bias on the Cell Surface,” Angewandte Chemie International Edition 58 (2019): 13706–13710, 10.1002/anie.201902470. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24. Wang M. D., Lv G. T., An H. W., Zhang N. Y., and Wang H., “In Situ Self‐Assembly of Bispecific Peptide for Cancer Immunotherapy,” Angewandte Chemie International Edition 61 (2022): 202113649, 10.1002/anie.202113649. [DOI] [PubMed] [Google Scholar]
- 25. Chen Y., Li W., Wang Z., et al., “A Transformable Supramolecular Bispecific Cell Engager for Augmenting Natural Killer and T Cell‐Based Cancer Immunotherapy,” Advanced Materials 36 (2024): 2306736, 10.1002/adma.202306736. [DOI] [PubMed] [Google Scholar]
- 26. Feng Z., Wang H., Zhou R., Li J., and Xu B., “Enzyme‐Instructed Assembly and Disassembly Processes for Targeting Downregulation in Cancer Cells,” Journal of the American Chemical Society 139 (2017): 3950–3953, 10.1021/jacs.7b00070. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27. Hou D. Y., Cheng D. B., Zhang N. Y., et al., “In Vivo Assembly Enhanced Binding Effect Augments Tumor Specific Ferroptosis Therapy,” Nature Communications 15 (2024): 454, 10.1038/s41467-023-44665-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28. Li Y., Xu T., Li Y., and Wang H., “Enzyme Induced Solid‐Like Condensates Formation of Engineered Peptide in Living Cells for Prostate Cancer Inhibition,” Angewandte Chemie International Edition 64 (2025): 202504958, 10.1002/anie.202504958. [DOI] [PubMed] [Google Scholar]
- 29. Kim J., Lee S., Kim Y., et al., “In Situ Self‐Assembly for Cancer Therapy and Imaging,” Nature Reviews Materials 8 (2023): 710–725, 10.1038/s41578-023-00589-3. [DOI] [Google Scholar]
- 30. Chen J., Chi H., Wang C., et al., “Programmable Circular Multispecific Aptamer‐Drug Engager to Broadly Boost Antitumor Immunity,” Journal of the American Chemical Society 146 (2024): 34311–34323, 10.1021/jacs.4c06189. [DOI] [PubMed] [Google Scholar]
- 31. Kuang Y., Shi J., Li J., et al., “Pericellular Hydrogel/Nanonets Inhibit Cancer Cells,” Angewandte Chemie International Edition 53 (2014): 8104–8107, 10.1002/anie.201402216. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32. Zhang L., Jing D., Jiang N., et al., “Transformable Peptide Nanoparticles Arrest HER2 Signalling and Cause Cancer Cell Death In Vivo,” Nature Nanotechnology 15 (2020): 145–153, 10.1038/s41565-019-0626-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33. Wu W., Jia S., Xu H., et al., “Supramolecular Hydrogel Microspheres of Platelet‐Derived Growth Factor Mimetic Peptide Promote Recovery From Spinal Cord Injury,” ACS Nano 17 (2023): 3818–3837, 10.1021/acsnano.2c12017. [DOI] [PubMed] [Google Scholar]
- 34. Ding Y., Zheng D., Xie L., et al., “Enzyme‐Instructed Peptide Assembly Favored by Preorganization for Cancer Cell Membrane Engineering,” Journal of the American Chemical Society 145 (2023): 4366–4371, 10.1021/jacs.2c11823. [DOI] [PubMed] [Google Scholar]
- 35. Cai Y., Shen H., Zhan J., et al., “Supramolecular "Trojan Horse" for Nuclear Delivery of Dual Anticancer Drugs,” Journal of the American Chemical Society 139 (2017): 2876–2879, 10.1021/jacs.6b12322. [DOI] [PubMed] [Google Scholar]
- 36. Zhan J., Cai Y., He S., Wang L., and Yang Z., “Tandem Molecular Self‐Assembly in Liver Cancer Cells,” Angewandte Chemie International Edition 57 (2018): 1813–1816, 10.1002/anie.201710237. [DOI] [PubMed] [Google Scholar]
- 37. Li J., Jia Z., Li D., et al., “CD28‐Targeted Enzyme‐Responsive Conformation‐Switching Peptide Self‐Assembly for Selective T‐Cell Acute Lymphoblastic Leukemia (T‐ALL) Therapy,” Advanced Science 13 (2026): 20963, 10.1002/advs.202520963. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38. Li X., Liu H., Ding S., et al., “Chemoenzymatic Synthesis of DNP‐Functionalized FGFR1‐Binding Peptides as Novel Peptidomimetic Immunotherapeutics for Treating Lung Cancer,” Journal of Medicinal Chemistry 67 (2024): 15373–15386, 10.1021/acs.jmedchem.4c00967. [DOI] [PubMed] [Google Scholar]
- 39. Wang Y., Wu X. H., Liu Z. M., et al., “In Situ Peptide Self‐Assembly Augments Antibody Recruitment for Tumor Immunotherapy,” Advanced Materials 38 (2026): 21379, 10.1002/adma.202521379. [DOI] [PubMed] [Google Scholar]
- 40. Ji S., Pan T., Wang K., et al., “A Membrane‐Anchoring Self‐Assembling Peptide Allows Bioorthogonal Coupling of Type‐I AIEgens for Pyroptosis‐Induced Cancer Therapy,” Angewandte Chemie International Edition 64 (2025): 202415735, 10.1002/anie.202415735. [DOI] [PubMed] [Google Scholar]
- 41. Dong Y., Mu Z., Wu Y., et al., “Self‐Assembly of Artificial Topological Nanostructures for Enhanced Bioorthogonal Activation and Drug Penetration for Cancer Immunotherapy,” Journal of the American Chemical Society 147 (2025): 39547–39560, 10.1021/jacs.5c12835. [DOI] [PubMed] [Google Scholar]
- 42. Wu X., Shen J., Jiang X., et al., “Targeting GLUT1 Degradation With Assembling Glycopeptide for Cancer Inhibition,” Chemical Engineering Journal 493 (2024): 152479, 10.1016/j.cej.2024.152479. [DOI] [Google Scholar]
- 43. Li T., Lin Y., Yuan B., et al., “Enzyme‐Instructed Disassembly of Phosphorylated Temporin Supramolecules Enhances Doxorubicin Synergy for Targeted Cancer Inhibition,” Journal of Controlled Release 387 (2025): 114176, 10.1016/j.jconrel.2025.114176. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Supporting File: advs78074‐sup‐0001‐SuppMat.docx.
Data Availability Statement
The data that supports the findings of this study are available in the supplementary material of this article.
