Antibody Therapeutics

BackgroundIMV-M is a MUC16xDR5 bispecific antibody has demonstrated MUC16-selective anti-tumor activity. However, it remained unclear whether multiple binding of IMV-M on a single MUC16 molecule was required for IMV-M cytotoxicity, whether circulating CA125 could attenuate its efficacy or cause off-target toxicity, and whether anti-drug antibodies might induce IMV-M aggregation and related adverse effects. MethodsA comparative analysis of three bispecific antibodies, IMV-M (sofituzumabxDR5), 11D10xDR5, and fluorxDR5, sharing an identical IgG1-anti-DR5 scFv architecture, was performed. Sofituzumab binds to multiple epitopes on a single MUC16 molecule, whereas 11D10 binds a single MUC16 epitope, and fluor does not bind any human antigen. Antibody binding to shed and cell-surface MUC16 was evaluated by ELISA and flow cytometry. Cytotoxicity was assessed in a MUC16+/DR5+ tumor cell line and MUC16-/DR5+ hepatic cell lines. Additional studies examined the effects of soluble CA125 and Fc-directed polyclonal antibodies on IMV-M activity. ResultsIMV-M bound MUC16 to a markedly higher extent than the 11D10xDR5 comparator, consistent with its multivalent engagement, while binding of fluorxDR5 to MUC16 was negligent. Only IMV-M induced potent cytotoxicity in MUC16+ tumor cells, whereas 11D10xDR5 and fluorxDR5 control antibodies were inactive, demonstrating that multivalent clustering on MUC16 is required for apoptosis. IMV-M showed no significant cytotoxicity toward hepatic cell lines, even in the presence of Fc-directed polyclonal antibodies or clinically relevant concentrations of soluble CA125. ConclusionsThese findings indicate that IMV-M cytotoxic activity requires clustering on MUC16, that CA125 at clinically relevant concentrations does not mediate IMV-M neutralization, and that aggregate formation with secondary antibodies or soluble MUC16 does not induce off-target toxicity.

BackgroundMET overexpression is associated with poor prognosis in many solid tumors due to its central role in tumor survival, invasion, metastasis, and chemoresistance. While targeting MET with antibody-drug conjugates has shown promising results, engineered cellular immunotherapeutic approaches have not been extensively explored. Compared to conventional single-chain variable fragments (scFv), naturally occurring single-domain antibodies consisting of variable heavy chains only (VHH or nanobodies) are smaller, retain high specificity, and exhibit remarkable biochemical stability. In this study, we tested the efficacy of MET-targeting VHH-CAR-T (chimeric antigen receptor T cells). MethodsWe generated a panel of VHH-CAR-Ts using mRNA electroporation. VHH-CAR-T cells were evaluated in functional assays including cell binding avidity, cytokine production profiles, hydrogel microwell-based cellular kinetics, and in vitro cytotoxicity. We also assessed the therapeutic efficacy of VHH-CAR-T in an in vivo mouse model of metastatic triple negative breast cancer (TNBC). ResultsAmong the tested VHH, we identified those with intermediate avidity as most effective for in vitro tumor killing. VHH-CAR-Ts with CD28 costimulatory domains demonstrated augmented cytotoxicity with favorable selectivity, requiring a minimum antigen density threshold for activation. Mechanistically, VHH-CAR-Ts demonstrated low tonic signaling, high avidity, potent cytokine production, and rapid tumor killing kinetics. When administered in an mRNA format, VHH-CAR-Ts exhibited potent and prolonged control of tumor growth in an in vivo metastatic model of TNBC. ConclusionTaken together, these results demonstrate that VHH-CAR-Ts exhibit robust MET specificity and potent therapeutic efficacy both in vitro and in vivo. Thus, VHH-CAR-T cell therapy represents a promising immunotherapeutic strategy for targeting MET-overexpressing solid tumors. What is already known on this topicMET signaling is an important contributor to the aggressiveness of many solid tumors, and targeting MET by antibody-drug conjugates has shown efficacy and safety. Targeting MET by CAR-T cells has been under study, though with limited potency. What this study addsThis study is the first to demonstrate effectiveness of anti-MET VHH-CAR-T cells. Compared with other antigen binding domains, VHH-incorporated CAR-T cells show low tonic signaling, a favorable cytokine profile, and potent tumor killing. How this study might affect research, practice or policyWith the multiple advantages of VHHs including small size, stability, and low potential for tonic signaling, VHH-CAR-T cells represent a promising approach for CAR-T design against solid tumors.

Cytotoxic CD8+ T cell responses targeting tumor neoantigens are critical for immunotherapy efficacy and are widely studied across different preclinical mouse tumor models. Defined neoantigens are commonly introduced to enable tracking of tumor-specific T cells; however, variation in neoantigen choice may yield immune phenotypes attributable to differences in neoantigen immunogenicity, complicating interpretation of tumor-intrinsic mechanisms. Here, we determined the relative immunogenicity of a set of 25 commonly used mouse tumor-derived and model neoantigens to facilitate comparison of neoantigens across studies. We found that in silico predicted major histocompatibility complex (MHC) binding affinity poorly stratified in vivo immunogenicity. In contrast, experimental measurement of peptide-MHC complex stability (Koff), more so than measured affinity (KD), closely correlated with the relative magnitude of neoantigen-targeted vaccine responses in vivo. Thus, we report the relative stability of a known set of commonly used neoantigens as a reference and provide a simple method to benchmark novel neoantigens against this library. This framework will allow contextualization of the level of immunogenicity of newly identified neoantigens and aid in comparative interpretation of tumor-immune phenotypes across studies.

Single-chain variable fragments (scFvs) are widely used in diagnostic and therapeutic applications. These antibody fragments comprise two antibody variable domains connected by a flexible peptide linker whose properties critically influence folding, stability, oligomeric state, and antigen-binding. Therefore, careful linker selection represents a key step in scFv design. Guanylyl Cyclase C (GUCY2C) is a tumor-associated cell surface receptor expressed in gastrointestinal malignancies, including more than 90% of colorectal cancer (CRC) cases across all disease stages. Its restricted physiological expression pattern makes GUCY2C an attractive target for immunotherapy and precision oncology therapies. Here, we investigated the structural and functional consequences of incorporating alternative linker designs into an anti-GUCY2C scFv. Using molecular modeling, protein-protein docking, and molecular dynamics (MD) simulations, we evaluated the conformational stability, interdomain organization, and antigen-binding interactions of each construct. Our results provide a dynamic, structure-based assessment of how linker composition influences GUCY2C recognition and scFv structural behavior. Furthermore, this work establishes a computational framework for the rational optimization of GUCY2C-targeted antibody fragments.

Glioblastoma Multiforme (GBM) is one of the most malignant forms of brain tumor in humans, with limited treatment options and poor overall survival rates. In the present study, we employed an in-silico workflow that integrated immunoinformatics and 3D structural modelling tools to design a multi-epitope vaccine against Podoplanin (PDPN), a transmembrane glycoprotein primarily involved in tumor invasion and metastasis. The differential expression of PDPN in tumor versus normal cells was investigated using transcriptomics datasets. Once the overexpression was confirmed, it was designated as a Tumor-Associated Antigen (TAA). B-cell, CTL, and HTL epitopes were predicted and screened for antigenicity, non-allergenicity, and non-toxicity. Selected epitopes were linked with appropriate adjuvant and linker sequences to construct a vaccine candidate. Codon optimization and in silico cloning was conducted to evaluate the constructs expression in a mammalian expression vector. The 3D structure of the vaccine candidate was modelled, refined, and validated before molecular docking with immune receptors and immune simulation studies. The results indicated that proposed polypeptide, RasIC-01v, could be a potential vaccine candidate for highly vigorous and dangerous cancer like GBM. Further experimental and immunological validations would be required to validate the commercial feasibility and development of RasIC-01v. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=116 SRC="FIGDIR/small/706629v1_ufig1.gif" ALT="Figure 1"> View larger version (35K): org.highwire.dtl.DTLVardef@7485b1org.highwire.dtl.DTLVardef@1f551c1org.highwire.dtl.DTLVardef@ca871eorg.highwire.dtl.DTLVardef@6cf53d_HPS_FORMAT_FIGEXP M_FIG C_FIG

For millions of immunocompromised individuals, vaccines may not elicit adequate protection from infections, so alternative strategies for pre-exposure prophylaxis are essential. There is only one non-vaccine product authorized in the U.S. as pre-exposure prophylaxis against COVID-19: the monoclonal antibody pemivibart. We previously showed that pemivibart had lower neutralizing activity in vitro against many recent dominant SARS-CoV-2 variants, such as KP.3.1.1, NB.1.8.1, and LP.8.1.1, than it had against JN.1, which was dominant when the antibody was first authorized. The manufacturer of pemivibart (Invivyd) recently initated clinical testing of a new monoclonal antibody derived from pemivibart, VYD2311, but there are no available studies of the activity of VYD2311 against dominant and emerging SARS-CoV-2 variants. Here, using pseudovirus neutralization assays, we measured the neutralizing activity of laboratory-synthesized VYD2311 and pemivibart against dominant and emerging SARS-CoV-2 variants, including XFG, NB.1.8.1, and the genetically distant BA.3.2.2. We found that VYD2311 potently neutralized all tested variants in vitro, dramatically more so than pemivibart. Combined with interpretation of earlier clinical trials of a parental antibody product, we conclude that VYD2311 is a promising candidate for passive immunoprophylaxis against COVID-19, particularly for those who do not respond well to vaccination.

Biased Fab phage-display libraries were designed to determine whether inhibitory CDR H3 motifs from potent anti-matriptase antibodies could be transferred to target homologous serine proteases. Using reverse-binding and substrate-like H3 motifs from parental clones A11 and E2 as templates, six synthetic libraries with 1010 diversity were constructed. Selection against matriptase identified sixteen inhibitors with sub-100 nM potency, representing 100,000-fold improvement over circularized H3 loops alone. Selection against TMPRSS2, a serine protease implicated in viral entry and prostate cancer with 43% sequence identity to matriptase, yielded binders with micromolar inhibitory potency. Selection against urokinase plasminogen activator (uPA, 35% identity) identified binders that adopted a substrate-like CDR H3 binding mode in our structural models. Across all reference structures, including the separately identified uPA inhibitor AB2 (PDB: 9PYF, deposited with this work), benchmarking of five co-folding methods and rigid-body docking showed that co-folding consistently achieved acceptable to high quality DockQ scores, outperforming traditional docking and capturing the recognition of key active site determinants. Ensemble predictions of mutational binding energy changes ({Delta}{Delta}G) using these models identified key paratope-epitope interactions, with predictions validated through mutagenesis. This work establishes a framework integrating biased antibody libraries with computational structure prediction and analysis for targeting conserved protease epitopes.

Fibroblast activation protein (FAP) is an attractive target for the development of cancer theranostics due to its selective expression on cancer-associated fibroblasts (CAFs). While a number of small-molecule FAP inhibitors (FAPIs) have been developed, few biologics have been investigated as FAP targeting vectors. Camelid-derived single-domain antibodies, or variable-heavy-heavy domains (VHHs), offer a compelling alternative, combining high affinity with versatile engineering options. In this study, we first identified a novel anti-FAP VHH, F7, from an affinity-matured camelid phage display library. To investigate how valency and molecular weight affected target engagement and in vivo properties, F7 was engineered into three formats: a monomer (F7), a tethered dimer (F7D), and an Fc-fusion protein (F7-Fc). All three were specific for FAP with the two bivalent constructs demonstrating picomolar affinity. Positron emission tomography imaging in FAP-positive xenograft models revealed distinct pharmacokinetic profiles across constructs with notable differences in tumor uptake and clearance. F7 had rapid uptake and clearance resulting in significantly higher tumor uptake than FAPI-46. Low molecular weight bivalent F7D demonstrated similar kinetics but was retained by the tumor resulting in a high tumor-to-blood ratio with secondary uptake limited to clearance organs. The largest construct, F7-Fc, resulted in the highest tumor uptake and allowed for longitudinal imaging. Absorbed dose calculations confirmed that tumors received significantly higher radiation doses compared to normal tissues. These findings demonstrate that tuning VHH scaffold size and valency can improve biodistribution and retention, establishing F7-based constructs as promising targeting vectors for FAP.

BACKGROUNDWe have recently described SARS-COV-2 antigens showing sequence and conformational homology to tumor associated antigens (TAAs). Moreover, cross-reactive T cells have been identified in individuals either infected by the SARS-CoV-2 virus or vaccinated with the BNT162b2 preventive vaccine. In the present study, we analyzed the specific cross-binding TCRs by single cell RNA TCR sequencing. METHODS AND RESULTSThe paired SARS-CoV-2 epitope LLLDDFVEI (VIR) and the PRDX5 tumor associated antigen LLLDDLLVS (TAA) were selected to elicit cross-reacting T cells ex vivo. PBMCs from 5 healthy individuals were cultured for 10 days with 10 ug every 3 days of one of the two peptides and cells were selected for single cell RNA TCR sequencing. Results in CD8+ T Effector cells (TTE) showed the amplification or the de novo identification of a handful number of TRAV/TRBV genes and of CDR3{beta} motifs upon treatment ex vivo with both epitopes, which are specific for each subject in the analysis. The very same clonotypes were identified also in the CD8+ T proliferating subset, confirming that both epitopes induced a highly activated and plastic state. Conformational prediction analyses of pMHC-TCR complexes showed perfect structural overlap, supporting the functional cross-reaction of CD8+ T cells with both the viral and the tumor antigens. CONCLUSIONSOur results describe for the first time the TCR CDR3{beta} motifs amplified or de novo expanded by induction with a viral antigen showing a molecular mimicry with a tumor antigen. They are strictly individual and do not match with any motif in the publicly available TCR repository. However, considering the significant degeneracy in the TCR binding to the same epitope, the finding of identical TCR CDR3{beta} motifs elicited by two homologous epitopes is of the highest functional relevance. Such results provide a clear experimental validation proof that microbial epitopes mimicking TAAs can be used to develop off-the-shelf preventive/therapeutic vaccine formulations. Indeed, such non-self antigens are much stronger immunogens and may elicit a potent cross-reacting anti-cancer T cell response.

In germinal centers, activated B cells modify their antigen receptors through somatic hypermutation (SHM), followed by antigenic selection that favors expansion of high affinity B cells. The affinity maturation process is critical for development of broadly neutralizing antibodies (bnAbs) against the human immunodeficiency virus-1 (HIV-1). BnAbs have been isolated from some people living with HIV-1. Because these antibodies target conserved epitopes of the HIV-1 Envelope (Env) protein, they inhibit a broad spectrum of viruses. Eliciting bnAbs by vaccination is a top priority for HIV-1 prevention, but reproducing the lengthy maturation of bnAbs is a major challenge. The problem is typified by VRC01 class antibodies, which recognize the CD4 binding site of HIV-1 Env protein. To reach the CD4 binding site, antibodies need to navigate through adjacent glycans. Accommodating the glycans requires multiple SHMs in germinal center (GC) B cells, including infrequent events. For this reason, VRC01 vaccine development often stalls at this point. We have generated a mouse model aimed at providing a potential solution for navigating this vaccine design impediment. To this end, we made a mouse model that expresses a stalled VRC01 intermediate conditionally in GC B cells. This system has three advantages: 1) direct expression of the intermediate obviates prior immunization steps, thereby shortening the immunization scheme; 2) the conditional expression system bypasses tolerance control checkpoints that sometimes delete B cells expressing bnAbs; 3) the intermediate responds to immunization in GCs, the physiological site of affinity maturation. With this model, we established an immunization method to mature the VRC01 intermediate into heterologous neutralizing antibodies against viruses with a native glycan shield. Since high mutation load is common among bnAbs, the germinal center conditional expression system could provide a general tool for boost immunogen design to overcome roadblocks in the maturation pathway. Author summaryIn response to antigenic stimulation, cognate B cells become activated and form germinal centers in lymphoid tissues. Germinal center B cells modify their antigen receptors through somatic hypermutation (SHM) of immunoglobulin variable region gene exons, with antigen selecting for high affinity B cells by providing survival advantage. This mechanism accounts for antibody affinity maturaton over the gradual course of an immune response. Affinity maturation is critical for generating potent, neutralizing antibodies against diverse strains of the human immunodeficiency virus-1 (HIV-1). These broadly neutralizing antibodies (bnAbs) are heavily mutated, reflecting lengthy affinity maturation over years of chronic infection. Recapitulating the affinity maturation process is a major challenge for bnAb induction by vaccination. In immunization experiments, bnAb development often stalls at rate limiting steps that involve infrequent, but functionally important, mutational events. Overcoming such obstacles requires boost immunogens that can stimulate the stalled B cells to acquire the requisite mutations. To this end, we recapitulated the maturation arrest of a bnAb lineage by expressing a stalled antibody in mouse germinal center B cells. Using this mouse model, we developed boost immunization conditions that advanced the antibody maturation beyond a roadblock to attain neutralizing activities against heterogenous viruses.

Adoptive cell therapy based on Natural Killer (NK) cells holds great promise for the treatment of cancer. For all approaches aiming at utilizing NK cells in immunotherapy, efficient ex vivo expansion technologies for the generation on of cytotoxic NK cells are a prerequisite for clinical translation. In this study, a novel multifunctional fusion protein consisting of a CD20-directed Fab-fragment, an agonistic anti-4-1BB single-chain Fragment variable (scFv), the Sushi domain of the interleukin (IL)-15 receptor and human IL-15 was generated. This molecule triggered strong NK cell expansion when bound to co-cultivated autologous B cells, due to trans-presentation of IL-15 and binding to 4-1BB/CD137. Expansion rates of up to 7,500-fold were achieved and the NK cells showed high cytotoxic capacity against a panel of tumor cell lines representing various tumor entities. Importantly, the activated NK cells did not show cytolytic activity against non-malignant B cells indicating that NK cells amplified by our novel approach were still physiologically regulated. The cytotoxic activity of the expanded NK cells was further enhanced by combination with therapeutic antibodies. Our molecule was additionally able to trigger efficient proliferation of NK cells from cord blood as well as multiple myeloma (MM) and acute myeloid leukemia (AML) patients. In conclusion, our novel platform technology provides ex vivo expansion of NK cells by using a single multifunctional fusion protein and may be well-suited for the development of NK cell-based immunotherapies. Key pointsA novel fusion protein that enables NK cell expansion from different sources including peripheral blood, bone marrow and cord blood

Circulating tumor cells (CTCs), and especially CTC-clusters, are linked to poor prognosis and may reveal mechanisms of metastasis and treatment resistance. Therefore, developing unbiased methods for the functional characterization of CTCs in liquid biopsies is an urgent need. Here, we present an evaluation of multiplex imaging mass cytometry (IMC) to analyze CTCs in mice with human xenograft tumors. In a single-step process, IMC uses metal-labeled antibodies to simultaneously detect a large number of proteins/modifications within minimally manipulated small volumes of blood from the tail vein or heart. We used breast cancer cell lines and a patient-derived xenograft (PDX) to assess antibodies for cross-species interpretation. Along with manual verification, HALO-AI-based cell segmentation was used to identify CTCs and quantify markers. Despite some limitations regarding human-specificity, this technology can be used to investigate the effect of genetic and pharmacological interventions on the properties of single and cluster CTCs in tumor-bearing mice.

Accurately modeling antibody-antigen interactions requires distinguishing intrinsic binding affinity ("protein-interaction") from protein biophysical properties ("protein-quality"), including folding, stability, and expression. However, high-throughput mutational measurements commonly used to train and benchmark computational models often conflate these effects, obscuring the true determinants of molecular recognition. Here, we present an experimental and analytical framework to disentangle protein-interaction effects from protein-quality effects in single-domain antibody (VHH)-antigen binding. Using a large-scale deep mutational scanning (DMS) dataset spanning four VHH-antigen complexes, with single and double mutations in both partners, we introduce control binders to quantify protein-quality changes independently of protein-interaction. This enables decomposition of experimentally measured affinity into protein-interaction and protein-quality components at scale. Leveraging the disentangled dataset, we evaluated state-of-the-art structure- and sequence-based models for protein-quality and protein-interaction prediction and show that their performance largely reflects protein-quality rather than protein-interaction effects. Our results highlight a major confounder in current datasets and suggest that accounting for protein-quality will be essential for training next-generation affinity-prediction models. Nomenclature Antibody related termsO_LIPrimary VHH: The VHH of a VHH-antigen complex for which the paratope and the epitope weremutated. C_LIO_LIControl VHH: A second VHH that binds to the same antigen as the primary VHH but has non-overlapping epitope positions and therefore does not bind to any of the mutated antigen positions. C_LI Affinity-related termsO_LIReal Affinity: "The strength of the interaction between two [...] molecules that bind reversibly (interact)" 1. In the context of antibody-antigen binding, it quantifies interactions between active proteins (which are expressed and correctly folded 2 and are therefore functionally and biologically active (see below). It is commonly quantified by the equilibrium dissociation constant, KD. C_LIO_LIObserved affinity ({degrees}KD): The interaction strength experimentally measured between two molecules. Unlike real affinity, this value is confounded by the biophysical properties of the individual binding partners, specifically their folding, stability, and expression levels. Consequently, the observed affinity often differs from the real/intrinsic affinity if a significant fraction of the protein population is inactive 3. NOTE: Unless otherwise specified, {degrees}KD is reported in - log10 space. For example, a {degrees}KD of -9 corresponds to 10-9M or 1nM. C_LIO_LIChange in observed affinity ({Delta}{degrees}KD): The shift in the observed affinity between two proteins upon mutation, reported as the log10-transformed fold change. A value of 1 reflects a 10-fold difference, a value of 2 a 100-fold difference, etc. This aggregate change resolves into two distinct biophysical components 2, 4: O_LIProtein-interaction change: The change in the intrinsic thermodynamic affinity between the two binding partners, each in its active state (i.e., the specific change in interface Gibbs free energy because both enthalpy and entropy are considered). C_LIO_LIProtein-quality change: The change in the fraction of the mutated protein population that is biologically active - meaning it is expressed, correctly folded, and stable 2, 5. O_LIFolding: The process that guides the polypeptide chain toward its native conformation, which is a prerequisite for forming a functional binding site. C_LIO_LIStability: The thermodynamic capacity to maintain the folded structure over time and under physiological conditions. Stability (decrease in Gibbs free energy from the unfolded to the folded state) ensures the binding interface remains intact and prevents competing processes such as aggregation 6. C_LIO_LIExpression: The steady-state abundance of the protein. This is largely dependent on proper folding and stability, as cellular quality control mechanisms degrade proteins that fail to fold or remain stable at functional concentrations. C_LI C_LI C_LIO_LIChange in relative affinity ({Delta}{Delta}{degrees}KD): the difference between the {Delta}{degrees}KD of the primary VHH compared to the control VHH for a given epitope mutation. C_LI Model-related termsO_LIESM-IF1 sc: Single-chain (sc) structure-conditioned inverse folding model (ESM-IF1), using the isolated monomer structure of the mutated protein: either the VHH or the antigen 7. C_LIO_LIESM-IF1 mc: Multi-chain (mc) structure-conditioned model (ESM-IF1), using the full complex structure (both antibody and antigen) 7. C_LIO_LIStability prediction score: Score that represents the predicted change in stability based on a single mutation, normally represented as {Delta}{Delta}G. C_LI

Evolution or emergence of a new viral variant is a significant public health concern. Alphaviruses, such as Venezuelan equine encephalitis virus (VEEV), are mosquito-borne viruses which are becoming more prevalent due to expansion of vector habitats. The increased prevalence of such viruses provides opportunities for novel variants to evolve. Key therapeutic molecules that could be developed against viral pathogens are recombinant antibodies or antibody fragments, such as the variable heavy domain of heavy chain antibodies (VHHs). These proteins can neutralize or sequester viral particles, preventing or reducing infection. However, due to the evolution of viruses, there is a need to isolate new antibodies and direct their binding to particular epitopes on the virus. In vitro selections offer a promising pathway for the selection of therapeutic antibodies, but as we demonstrate, the choice of a target for these selections is key to obtaining the desired viral binding characteristics. Here we report four novel "human" VHHs which bind to the VEEV E2 protein selected using different strategies that include both computational and biochemical design of suitable antigens and whole virus selections. These VHHs have distinct complementarity-determining regions (CDRs). Multiple VHHs bind to the VEEV viral particles in ELISAs, and we report the peptide epitope recognized by these VHHs. Though non-neutralizing, when immobilized, these VHHs bind to and sequester VEEV viral particles preventing infection, demonstrating the potential of these VHHs to perform viral "sponging". The selection strategies we report may have applications to further antibody developments against other viruses. Significance/ImportanceAlphaviruses, and in particular Venezuelan equine encephalitis virus (VEEV), are recognized for their ability to cause severe disease and for their potential to be used as a biothreat. Despite this, there are currently no antiviral therapies or FDA-approved vaccines available to treat or prevent VEEV infection. This study reports on a novel antibody selection pipeline to produce antibody fragments against VEEV. Antibodies produced via this method showed strong affinity and high specificity to the VEEV E2 glycoprotein in multiple conformations. Additionally, while not neutralizing, the antibody fragments described were shown to be effective as "viral sponges", having the ability to bind, sequester, and remove VEEV virions from solution, which represents a novel therapeutic approach.

Immunoglobulin Y (IgY) represents the major serum antibody in reptiles and birds, serving as the evolutionary precursor to mammalian IgG and IgE. While IgY diversification has been documented in several reptilian lineages, the structural basis underlying subclass divergence remains poorly understood. Here, we present a comprehensive phylogenetic and structural analysis of IgY sequences from 20 snake species, revealing two distinct evolutionary lineages (A and B) that arose through gene duplication. Structural modeling of the constant regions from Arizona elegans identified a fundamental difference in the light chain-heavy chain (CL-CH1) disulfide bond architecture between lineages. Lineage B utilizes CYS16 in the CH1 domain (alignment position 13) for the inter-chain disulfide bond with the light chain CYS98, whereas Lineage A employs CYS136 (alignment position 99), representing N-terminal versus C-terminal positioning within the CH1 domain. Analysis of 50 diagnostic amino acid positions between lineages revealed that changes are distributed across all constant domains (CH1-CH4), with 13 positions showing radical substitutions affecting charge or polarity. Sliding window dN/dS analysis demonstrated purifying selection ({omega} < 1) across both lineages, consistent with functional constraint following duplication. These findings provide structural evidence for subfunctionalization of snake IgY genes and suggest that alternative disulfide bond configurations may confer distinct biophysical or functional properties to each antibody subclass. This work advances our understanding of immunoglobulin evolution in reptiles and highlights the structural plasticity of antibody architecture.

Glioblastoma (GBM) is an aggressive, high-grade glioma with a near-universally fatal prognosis. Therapeutic failure is often attributed to the highly selective blood brain barrier (BBB), the diffuse infiltrative nature of the tumor, and the marked intratumoral heterogeneity of GBM. Although antibody drug conjugates ADCs have shown promise for high grade gliomas such as GBM, efficacy is limited by ADC size. Aptamers--short, synthetic, single-stranded DNA or RNA molecules--can be [~]6-fold lower in molecular weight than IgG antibodies and have the potential to cross the intact BBB. Unlike other nucleic acid-based therapies, aptamer function arises from three-dimensional shape rather than genetic coding. Here we aim to replace the targeting component of the ADC paradigm with a DNA aptamer, thus creating an aptamer-drug conjugate (ApDC). We employed in vivo SELEX using an orthotopic patient-derived xenograft (PDX) GBM mouse model and a vast ([~]100 trillion 80-mer sequences) ApDC library. We report the results from this first in vivo ApDC selection of its kind. We characterize target tissue binding ex vivo, cell association, biodistribution, and pharmacokinetics from this selection. This study exemplifies an unbiased approach to a problem that rational design has yet to overcome, offering a new direction for GBM therapeutic development.

Mantle cell lymphoma (MCL) is one of the deadliest forms of Non-Hodgkins B-cell lymphoma. Typically, patients present with both overexpression of CyclinD1 and secondary mutations identified by genomic sequencing. Although MCL patients may initially respond to treatment, they eventually relapse and succumb to disease, highlighting the essential need to identify new targets for treatment. Here we performed proteomic profiling of healthy B cells and three different forms of B-cell malignancies, including MCL, to define the proteomic signature of MCL. We compared the proteome of each to MCL and identified 10 proteins that are specifically upregulated in MCL. Of these 10 proteins, seven of them show no transcriptional changes and have been overlooked by conventional RNA expression analysis. Further analysis of the proteomic signature reveals potential avenues for dual targeting in CAR T-cell therapy and provides guidance for personalized therapeutics based on protein expression. STATEMENT OF SIGNIFICANCEWe present a resource defining the protein landscape of MCL, CLL, and FL as compared to healthy b cells identified utilizing quantitative proteomics from primary patient samples. Applied to MCL, our results identify 10 proteins specifically upregulated in MCL that may prove to be therapeutic targets to treat the disease.

AO_SCPLOWBSTRACTC_SCPLOWVaccines comprising peptide antigens for inducing T cell immunity are being developed for a broad range of therapeutic applications including prevention and treatment of cancer, autoimmunity, and infectious diseases. However, many peptide antigens contain cysteine and/or methionine, which are prone to form oxidation products that can present challenges to manufacturing and reduce biological activity. To address this challenge, we introduced oxidation resistant (OXR) antigens wherein the cysteine and methionine residues of naturally occurring, wild type (WT) peptide antigens are substituted with isosteric residues that are structurally related but omit the oxidation-prone sulfur atom. Our results showed that vaccination with OXR antigens substituting cysteine and methionine with isosteres alpha-aminobutyric acid and norleucine, respectively, induced immune responses to the WT antigen that were equivalent or higher than those induced by vaccination with WT antigens. T cell responses were not affected by the position of the amino acid substitutions indicating that the isosteres do not negatively impact major histocompatibility complex (MHC) binding or T cell recognition. The T cells induced were high quality and associated with anti-tumor efficacy in vivo. Interestingly, substitution of cysteine with serine, which replaces the sulfur for an oxygen, did not yield cross-reactive T cell responses, highlighting the high degree of molecular discernment of peptide-MHC processing and presentation. In sum, OXR antigens provide a generalizable strategy for eliminating sulfur oxidation products and improving the manufacturability and shelf-life of peptide-based vaccines without affecting desired biologic activity.

Malignant peripheral nerve sheath tumors (MPNSTs) are aggressive soft tissue sarcomas and the most common cause of disease-associated death for Neurofibromatosis Type 1 (NF1) patients. In the context of NF1, MPSNTs develop from benign premalignant precursors. The transition to malignancy is usually accompanied by loss of the polycomb repressive complex 2 (PRC2), leading to aberrant upregulation of many genes. The specific mechanisms disrupted by PRC2 loss remain incompletely understood. There is a significant gap in our knowledge of which cell-surface targets become derepressed and therapeutically actionable following PRC2 loss, contributing to the current lack of effective targeted therapies for MPNSTs. This study aims to address this gap by using cell-surface capture technology with mass spectrometry to profile MPNST models. In doing so, we define PRC2-dependent effects on the cell surface proteome, including specific biological pathways that are enhanced or suppressed at the cell surface protein level. We also create an MPNST cell-surface protein compendium comprised of proteins that are highly expressed across a variety of well-defined MPNST models. We prioritized proteins that are preferentially expressed in MPNST or other cancers and for which FDA-approved therapies already exist. Specific proteins from this compendium were molecularly targeted with antibody-drug conjugates in these models to surmise their therapeutic efficacy. Results reveal PTK7 as a novel and promising target for MPNST. In total, these efforts represent a step toward addressing the knowledge gap in MPNST genesis and identifying new therapeutic targets for further testing. Additionally, this data serves as a resource for other researchers wishing to characterize specific molecular targets. KEY POINTSPRC2 modulates key MPNST signaling pathways through the cell surface proteome Cell surface proteomics identifies a plethora of therapeutic targets for MPNST targeted therapy Antibody-drug conjugates targeting PTK7 show enhanced efficacy in reducing MPNST viability IMPORTANCE OF THE STUDYThis study utilizes advances in biochemistry to profile the surface proteome of malignant peripheral nerve sheath tumors. In doing so, it identifies many proteins whose presence is abundant on the cell surface of MPNST cells. Pre-clinical drug testing shows that use of antibody-drug conjugates may be effective in killing MPNST cells when targeted to epitopes identified in our MPNST cell surface proteome compendium. This study is a departure from more commonly used transcriptomic methods to identify cell surface proteins by using direct surface capture and mass spectrometry, providing a more direct measurement of cell surface protein abundance. Additionally, it identifies a handful of proteins which can be directly targeted pharmaceutically and one in particular, PTK7, whose targeting is highly effective in killing MPNST cells.

Engineering macrophages with chimeric antigen receptors is emerging as a promising cancer therapeutic. Chimeric antigen receptor-expressing macrophages (CAR-Ms) engineered to recognize tumor-specific antigens have been shown to inhibit tumor growth and activate adaptive immune responses, leading to robust tumor control in animal studies. Based on this work, clinical trials have been initiated. While the trials have shown promise, challenges remain. The dynamic interactions between CAR-Ms and cancer cells and the exact mechanisms driving anti-tumor effects remain poorly defined. Defining the dynamic interactions between CAR-Ms and cancer cells will provide critical insights for optimizing future CAR-M design and improving therapeutic efficacy. We sought to directly visualize CAR-M interactions with glioblastoma cells at high-resolution and in real-time using CAR-Ms engineered to recognize Neural-Glial Antigen 2 (NG2), an antigen expressed on glioblastoma cells. Using patient-derived glioblastoma cells, we formed glioblastoma spheroids and embedded them in a 3D matrix together with CAR-Ms. Using time-lapse microscopy, as expected, we found that NG2-targeting CAR-Ms engulfed glioblastoma cells. However, excitingly, we found that NG2-targeting CAR-Ms blocked >85% of glioblastoma cell invasion in 3D. This inhibition of glioblastoma invasion was not due to a significant change in CAR-M polarization states. Together, these data suggest that NG2-targeting CAR-Ms both engulf glioblastoma cells and block glioblastoma invasive behavior.