Antibody Therapeutics

Chimeric antigen receptor (CAR) T cells are patient-derived T cells engineered to recognize specific antigens on malignant cells, representing a major breakthrough in personalized cancer immunotherapy. While CAR-T cell therapy is an established treatment for relapsed or refractory hematologic malignancies, understanding the rationale and methodology behind its development is essential for training the next generation of oncology researchers. Here, we describe a novel, hands-on small-enrollment laboratory course designed to teach upper-level undergraduate and graduate students about immunotherapies and CAR-T cell technology by paralleling a typical bench-scale development process. Students isolated T cells from porcine peripheral blood mononuclear cells (PBMCs) via immunomagnetic selection, followed by flow cytometry to assess purity, viability, and yield. Students then used pre-engineered B7H3 CAR-T cells to perform co-culture assays with U87 glioblastoma cells to evaluate tumor cell killing efficacy. Cytotoxicity was qualitatively evaluated using immunofluorescence microscopy, while IFN-gamma release was quantified using Enzyme-linked Immunosorbent Assay (ELISA). Student performance was evaluated through electronic laboratory notebooks, discussion questions, a capstone project, and student-generated data. Our results demonstrate students high academic performance across assignments and the successful execution of complex laboratory workflows. Collectively, these findings establish the feasibility and implementation of a research-integrated curriculum providing foundational exposure to immuno-oncology research tools and CAR-T cell production techniques.

Hybridoma screening in semi-solid medium typically employs antigens labeled with visible fluorophores (e.g., FITC, AF488) to enable single-step identification of antibody-secreting clones. However, conventional chemical conjugation via NHS-esters or isothiocyanate groups frequently modifies lysine residues located within epitopes, potentially abrogating antibody recognition of these critical regions. Here, we describe a SpyTag SpyCatcher-based site-specific labeling strategy that circumvents epitope damage during semi-solid medium screening. A 16-amino-acid SpyTag was genetically fused to the C-terminus of the target antigen, enabling covalent conjugation to an sfGFP SpyCatcher fluorescent probe. In semi-solid medium supplemented with SpyTag-antigen and sfGFPSpyCatcher, positive hybridoma clones were readily identified by distinct fluorescent halos, whereas negative clones showed no detectable signal. Notably, the site-specific method yielded a significantly higher frequency of fluorescence-positive clones compared to the conventional AF488-labeled antigen method, suggesting that epitope preservation enhances screening recovery. Furthermore, this approach did not impair hybridoma growth or final clone positivity, offering a simple, rapid, and epitope-compatible method for monoclonal antibody screening.

Antibodies exhibit species-specific sequence and structural features that influence their antigen-recognition properties. Although several studies have investigated porcine antibodies, their repertoire and structural characteristics remain less well characterized than those of several other mammalian species. In this study, we analyzed public porcine heavy-chain repertoire sequencing data together with available antibody structural data to identify characteristic features of porcine antibodies. We found several residues enriched in porcine antibody framework regions, particularly at the base of heavy-chain complementarity-determining region 3 (CDR-H3). In particular, Arg101 and Glu123 were closely positioned in available structures and may influence CDR-H3 conformation at its base, whereas Pro120 may help constrain local backbone conformation. We also observed non-canonical cysteine usage in both framework region 1 and CDR-H3, which may contribute to structural diversity in the porcine repertoire. Finally, we evaluated the humanization potential of a porcine antibody using a human antibody language model and found that human-likeness increased after model-guided substitutions, although the resulting sequences did not exceed the T20 score threshold. Overall, these results indicate that porcine antibodies possess distinct sequence and structural features that may influence CDR-H3 properties and should be considered in future antibody analysis and engineering.

Abstract Recruiting an endocytic receptor through an antibody offers a route to redirect extracellular cytokines into cells. Here, we developed BiAb J31, an IgG like bispecific antibody linking TNF recognition to a membrane-proximal region of asialoglycoprotein receptor 1 (ASGPR1). J31 was isolated by immunization with an engineered ASGPR1 extracellular domain followed by screening against wild-type ASGPR1 and HepG2 cells. Its variable domains were combined with unmodified adalimumab variable regions using knobs into holes and CrossMab engineering, with L234A/L235A/P329G Fc substitutions. BiAb J31 retained HepG2 binding and engaged both antigens in bridging assays. Sequential binding experiments demonstrated recruitment of TNF to BiAb J31 treated cells. Live cell imaging showed uptake of fluorescent antibody-containing complexes and overlap with LysoTracker-positive compartments. In HepG2 cultures containing BiAb J31, TNF and a PE conjugated detection antibody, supernatant PE fluorescence fell by approximately 60% over 90 minutes. Truncation and synthetic-peptide assays localized J31 recognition to ASGPR1 residues 62~100, outside the carbohydrate-recognition domain, and AlphaFold 3 modeling proposed an Fv peptide interface. These findings identify a membrane-proximal ASGPR1 binding antibody that is compatible with bispecific engineering and supports cellular recruitment and uptake of TNF containing complexes. BiAb J31 provides a molecular starting point for antibody based cytokine redirecting approaches.

CD70 is well-recognized as a promising "pan-cancer: chimeric antigen receptor (CAR) T-cell target. Prior work has shown that a "natural ligand" (NL)-based CAR targeting CD70, employing its physiological interaction partner CD27, may have therapeutic advantages over antibody-based CARs. Yet while antibody-based CARs are routinely optimized by affinity maturation of their scFv, whether the binding sequence of an NL CAR can be engineered to improve its function remains unexplored. Here, we combined deep learning with physics-based modeling to redesign residues at the CD27:CD70 interface, identifying a CD27 variant, "N88A", which enhances the efficacy of CD70-targeting CAR T-cells across models of acute myeloid leukemia, multiple myeloma, and renal cell carcinoma. Biophysical approaches, including molecular dynamics simulations, support a mechanism of increased binder conformational freedom underlying potency enhancement. Our work presents CD27N88A CAR T-cells as a promising new therapeutic option and proposes that computational modeling could be applied to enhance efficacy of other NL-based immunotherapies.

The current treatment regimen for neuroblastoma involves immunotherapy, including a monoclonal antibody that recognizes disialoganglioside (GD2), expressed at high levels on neuroblastoma. GD2 is not present on most normal tissues except for nerves. Thus, anti-GD2 antibody treatment causes substantial, dose-limiting neuropathic pain. B7-H3 is overexpressed on multiple tumor types, including neuroblastoma, and is largely absent on nerves and other normal tissues. We designed a bispecific antibody (bsAb) that requires simultaneous binding of these two tumor antigens to achieve tight binding of tumor cells. Our preclinical research shows that, compared with a monospecific anti-GD2 antibody, the GD2xB7-H3 bsAb has improved tumor specificity, comparable antitumor efficacy, and reduced nerve binding and pain-associated toxicity. Since this bsAb does not bind to nerves, it may permit more tolerable and sustained treatment schedules than are currently feasible with monospecific anti-GD2 antibodies. In addition, its enhanced tumor specificity may support future development as a targeted delivery platform for antibody-drug conjugates or other payload-based therapies, potentially improving both efficacy and quality of life for patients with neuroblastoma.

Chimeric antigen receptor (CAR) cell therapy has achieved transformative clinical success through targeting of CD19 in refractory B cell malignancies, but extension of this strategy to solid tumors, other hematological malignancies, and autoimmune disease has exposed the complexity of target selection. Antigen abundance alone is not sufficient to define a suitable CAR target. Instead, therapeutic efficacy and safety are shaped by a broader set of molecular features, including isoform usage, subcellular localization, secretion, epitope stability, and the structural context in which antibody-derived binding domains engage their target. At the same time, advances in transcriptomics, structural biology, and artificial intelligence (AI)-enabled prediction now make it possible to assess many of these properties systematically. Here, we outline the principal molecular features that characterize effective and safe CAR targets and present a practical framework that integrates public datasets with computational and AI-based tools for their evaluation. Using HER2 as an illustrative case, we show how isoform-resolved expression, single-cell analyses, topology prediction, structure modelling, epitope mapping, and in silico binding analyses can reveal liabilities that are not captured by conventional target-expression screens alone. This framework provides a systematic strategy to prioritize targets and epitopes, guide preclinical investigation, and de-risk clinical translation. We anticipate that such integrative workflows will become increasingly important for moving CAR target discovery from descriptive expression analysis towards informed therapeutic design.

The emergence of bispecific antibodies (BsAbs) targeting T cells (CD3+) and tumor plasma B cells (BCMA+) has provided a new therapeutic option for patients with relapsed/refractory multiple myeloma cancer. However, responses to CD3xBCMA BsAb therapy remain heterogeneous, and treatment is associated with frequent immune-related adverse events. Although baseline immune characteristics have been associated with clinical outcomes, little is known about the early immune dynamics induced by this therapy. Here, we investigated whether longitudinal clinical monitoring and high-dimensional profiling of blood circulating T cells could identify early biomarkers of response or toxicity during treatment. Our results indicate that all treated patients exhibit an early depletion of circulating T cells associated with T-cell activation within the first two weeks. Integration of clinical and immunological parameters using Factorial Analysis of Mixed Data (FAMD) identified immune features associated with treatment outcome. Responders had lower plasma soluble BCMA concentrations, fewer bone lesions, higher circulating lymphocyte counts at baseline. During the first days of treatment, responders exhibited a more pronounced increase in plasma CXCL10 levels, associated with a greater decrease in T lymphocyte counts. Overall, our findings suggest that integrating clinical and immune parameters measured during the first days of treatment may enable early patient stratification and support the development of a predictive score to identify patients with multiple myeloma who are most likely to benefit from CD3xBCMA BsAb therapy. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=94 SRC="FIGDIR/small/743749v1_ufig1.gif" ALT="Figure 1"> View larger version (34K): org.highwire.dtl.DTLVardef@1cb079org.highwire.dtl.DTLVardef@1860106org.highwire.dtl.DTLVardef@ad36d3org.highwire.dtl.DTLVardef@1ea5c1e_HPS_FORMAT_FIGEXP M_FIG C_FIG HighlightsO_LIIntegrated clinical and blood T-cell immune profiling using FAMD enables patient stratification following CD3xBCMA BsAb therapy. C_LIO_LIT-cell immune activation occurs predominantly within the first two weeks of therapy. C_LIO_LIFirst-week clinical and immune parameters identify patients most likely to benefit from therapy. C_LIO_LIHigh CXCL10 levels, a profound early decline in circulating T cells, low sBCMA levels, and fewer bone lesions are candidate predictive markers of treatment response. C_LI

Background. Vaccines have been an essential tool in bringing the world close to polio eradication, with over 99.9 percent of the global population free of poliovirus. No antiviral drugs or monoclonal antibody products, however, are currently licensed for treatment of polio. We previously isolated a human monoclonal antibody (9H2) with potent neutralizing activity against all three poliovirus serotypes. To advance 9H2 as a therapeutic candidate, we optimized its sequence to extend serum half-life and improve manufacturability. Methods. A Multi-Attribute Method under stress conditions identified post-translational modification sites, and Abacus (Trademark) ranked sequence liabilities. Six amino acid substitutions were introduced into the variable regions, generating 23 combinatorial variants. Codon-optimized genes were synthesized and engineered into a human immunoglobulin G1 backbone containing crystallizable fragment (Fc) mutations (M428L/N434S) to extend serum half-life. Constructs were transfected into CHO K1 cells to generate stable pools in 24 well plates. Protein A purified antibodies were characterized using biophysical assays and an in vitro poliovirus neutralization assay. Results. All variants retained high in vitro neutralizing activity against poliovirus. A lead candidate was selected based on integrated assessment of biophysical properties across eight assays and expression yield. Conclusions. Structure-guided engineering and experimental evaluation enabled optimization of the 9H2 antibody sequence and identification of a lead candidate suitable for clinical manufacturing as a potential anti-poliovirus immunotherapeutic agent.

Background: Tumor necrosis factor- inhibitors such as infliximab and adalimumab have transformed autoimmune disease treatment; however, infliximab is a mouse-human chimeric antibody that remains immunogenic, is associated with self-association/aggregation liability, and requires prolonged intravenous administration. We humanized infliximab and engineered infliximab-derived candidates with improved potency and developability. Methods: Infliximab complementarity-determining regions were grafted onto human germline frameworks to generate humanized infliximab. STage-Enhanced Maturation (STEM) technology produced an affinity-matured clone (hInBG4), followed by targeted amino-acid substitutions in the complementarity-determining regions to generate LW2Y, LW2YR2S, and LW2YHR1K. Variants were evaluated by a cell-based tumor necrosis factor alpha neutralization assay, affinity-capture self-interaction nanoparticle spectroscopy, a baculovirus particle enzyme-linked immunosorbent assay, size-exclusion high-performance liquid chromatography, transient expression in human embryonic kidney 293 cells, and tumor necrosis factor alpha binding kinetics by biolayer interferometry, including dissociation at pH 7.4 and 5.8. Results: All three variants showed two- to three-fold higher neutralization potency than chimeric infliximab and outperformed adalimumab. Affinity-capture self-interaction nanoparticle spectroscopy shifts decreased from double-digit parental values to low single digits, while baculovirus particle binding ratios remained acceptable. Size-exclusion chromatography showed cleaner monomer peaks with reduced tailing, and expression increased relative to humanized infliximab. LW2Y combined very high affinity at pH 7.4 with markedly faster dissociation at pH 5.8, consistent with pH-dependent antigen release. Conclusions: Humanization, affinity maturation, and targeted complementarity-determining region re-engineering generated infliximab-derived candidates with improved potency and developability and identified LW2Y as a lead for further preclinical evaluation.

BackgroundTumor-infiltrating lymphocyte (TIL) therapy has demonstrated clinical efficacy in malignant melanoma; however, inefficient ex vivo expansion remains a major limitation. We previously showed that stimulation of tumor-infiltrating B cells via CD40-CD40L axis improves TIL expansion, and that direct activation of the 41BB-41BBL pathway on T cells enhances CD8 T cell outgrowth. We hypothesized that adding simultaneous targeting of both pathways would augment the growth and activity of CD8+ cytotoxic T cells. We conducted a study with the objective of determining the feasibility of dual stimulation with human tumors as justification for a Phase I trial. MethodsCD40L variants were generated by yeast display selection and evaluated for B cell binding and activation. The effects of CD40L variants on TIL expansion were evaluated using tumors derived from standard of care resections using fragment method. Based on these findings, a bi-specific molecule was designed and generated fusing a CD40L variant and 41BB to the N- and C-termini of a trimeric leucine zipper. The effects of the bi-specific molecule (termed CD40LEPC6-41BBL) on TIL expansion were evaluated in TIL cultures derived from lung tumor and melanoma fragments. TIL phenotypes were assessed by flow cytometry, including high-dimensional FlowSOM analysis, and tumor reactivity by autologous tumor co-culture assays. ResultsEach of our engineered CD40L variants bound B cells and induced CD80/CD86 expression at levels comparable to wild-type CD40L. Supplementation of TIL cultures with CD40L variants increased the success rate of TIL expansion compared to control. We then developed a bi-specific CD40LEPC6-41BBL molecule capable of binding to both B and T cells. Addition of CD40LEPC6-41BBL significantly increased total TIL yield and improved expansion success rates in both lung tumor and melanoma cultures. In particular, CD40LEPC6-41BBL promoted preferential expansion of CD8 T cells. High-dimensional analysis revealed enrichment of CD8 T cell clusters expressing CD39, CD69, TIM3, and CD56 in cultures supplemented with CD40LEPC6-41BBL. Furthermore, treated cultures displayed increased frequencies of CD27 CD4 T cells. Functional assessment suggested a trend toward enhanced tumor reactivity in melanoma-derived TIL products expanded with CD40LEPC6-41BBL. ConclusionsSimultaneous stimulation of CD40 and 41BB pathways using a novel bi-specific molecule resulted in qualitative and quantitative enhancement of TIL products. These findings support dual targeting of tumor-infiltrating B cells and T cells as a promising strategy to optimize TIL manufacturing for adoptive cell therapy in Phase I trials.

Lenalidomide (Revlimid), bortezomib (Velcade), and dexamethasone, are used alone or in combination (RVd therapy) as first-line therapies for hematologic malignancies including the plasma cell dyscrasia, Multiple Myeloma (MM). The effects of RVd treatment on tumor cells have been documented, but little is known about their impacts on "healthy" immune cells. New therapeutics, including chimeric antigen receptor T cell (CAR-T) and bispecific T-cell engagers (BiTEs) depend on robust T cell function but these are often harvested for cellular therapies after or in tandem with RVd therapy. Understanding the molecular effects of these drugs on healthy T cells is therefore of particular importance. Since the molecular effects of each drug includes regulation of key transcription factors, we used a tri-modal, single-cell assay (TEA-seq), simultaneously profiling mRNA transcripts, cell surface proteins, and chromatin accessibility in primary human peripheral blood T cells treated for 4, 24, or 72 hours in vitro. Synergies and conflicts potentially arising from combinatorial therapy were identified and validated by flow cytometry. Doublet and triplet drug combinations were used to assess effects on cell-surface marker expression and on T cell activation. Our results suggest that T cell function can be optimized by the administration of these drugs individually and that sequential administration may offer an opportunity to enhance T cell function by affecting localization and altering T cell states. This work provides those interested in immunology, oncology, and cell therapies an opportunity to explore molecular pathways that could be manipulated by these commonly used drugs to modify T cell function.

Hydrophobicity is a critical property associated with the risk of non-specific binding, and it is commonly assessed using hydrophobic interaction chromatography retention time. Several computational approaches have been developed to predict antibody developability based on pre-trained language models. Such models can be fine-tuned with limited labeled antibody sequences and, in principle, do not require structural information, which is often challenging to obtain. Nevertheless, few studies have achieved strong performance in hydrophobicity prediction without incorporating structural features. Here, we present a case study of fine-tuning the pre-trained model IgBert to predict antibody hydrophobicity. Using Herceptin as a reference, we performed hydrophobic interaction chromatography retention time experiments and generated Herceptin-adjusted datasets. The fine-tuned model achieved a best R2 of 0.916, underscoring the critical role of rigorous data quality control. We also synthesized and validated 20 commercially available antibody sequences, and the results showed that the predicted hydrophobic properties were correctly reflected. Our findings provide practical guidance and highlight considerations for future applications of fine-tuned pre-trained language models in antibody hydrophobicity prediction. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=189 HEIGHT=200 SRC="FIGDIR/small/742939v1_ufig1.gif" ALT="Figure 1"> View larger version (36K): org.highwire.dtl.DTLVardef@9c814eorg.highwire.dtl.DTLVardef@ed609dorg.highwire.dtl.DTLVardef@62172forg.highwire.dtl.DTLVardef@1e01d37_HPS_FORMAT_FIGEXP M_FIG C_FIG

Immunotherapies, including oncolytic viruses (OV), are promising therapies that can enhance anti-tumor immune responses. However, preclinical success of immunotherapies in mouse models has not always translated to clinical benefit in cancer patients. This study compared preclinical efficacy and mechanism of action for ASP9801, a vaccinia virus expressing IL-7 and IL-12, using mouse models of colorectal cancer (CRC) in vivo and in human organotypic tumor slice models ex vivo. The murine surrogate for ASP9801 significantly reduced tumor volumes in treated and abscopal tumors in two different CRC models in vivo (MC38 and RO100). Treatment efficacy was accentuated when combined with anti-PD1 treatment, and single-cell RNA sequencing analysis revealed depletion of tumor cells and increased T cell infiltration and activation in both treated and abscopal tumors. However, human tissue analysis ex vivo (E-slices) using PDX models and patient samples showed that ASP9801 is not effective in CRC, consistent with clinical trial results. On the other hand, ASP9801 was highly effective in GBM, indicating indication-specific efficacy of ASP9801, and how E-slice assays can be used to identify treatment-sensitive indications. This study demonstrates the superiority of E-slices over mouse models for predicting clinical response and its utility in planning clinical trials.

Glioblastoma (GBM) is a highly aggressive brain tumor characterized by rapid progression and a poor prognosis. CAR-based cellular therapies are promising approaches, and CAR-T cells targeting GD2 have demonstrated transient efficacy. Identifying how tumors evade these treatments is essential for advancing therapy development. In this study, we investigated the mechanisms through which GBM cells evade GD2.chimeric antigen receptor (CAR)-T and CAR-invariant natural killer T (iNKT) in vitro and explored ways to overcome tumor escape. GD2-targeted CAR-T and CAR-iNKT cells were tested in a stepwise in vitro model that repeatedly exposed them to GD2+ cell lines. While CAR effector cells effectively killed GD2+ GBM cells in short-term assays, their anti-tumor efficacy declined after repeated antigen exposures. Tumor escape mechanisms included reduced CAR expression, impaired proliferation, reduced production of cytokine, granzyme, and perforin, tumor downregulation of GD2, trogocytosis, and upregulation of the HLA-E/NKG2A inhibitory compared to MICA-B/NKG2D activation pathways on tumor and immune cells. Increasing effector cell numbers or adding IL-15 +/- IL-7 partially improved CAR persistence but did not fully restore CAR effector functions. By contrast, IL-12 addition optimized tumor-killing capacity by increasing CAR effector cell proliferation, CAR surface expression, IFN-y production, and balancing HLA-E/NKG2A versus MICA-B/NKG2D pathways. In conclusion, GD2.CAR-T and GD2.CAR-iNKT cells effectively target GBM but are susceptible to repeated antigen exposure, which IL-12 could counteract. These findings encourage further development of armored IL-12 CAR-T or CAR-iNKT cells and further investigation of the roles of HLA-E and MICA-B pathways in immunotherapy against GBM.

Rationale: Neuroblastoma is a devastating pediatric malignancy, for which surgical resection is a key factor in long-term survival. However, there are significant challenges in its resection, particularly in high-risk disease, as neuroblastoma encases surrounding critical structures, is often difficult to distinguish from desmoplastic or scar tissue, and can carry occult deposits of disease not readily identified on preoperative imaging or intraoperative visualization. Building on the principles of fluorescent and radio-guided surgery, in combination with the known overexpression of GD2 in neuroblastoma, we sought to develop and optimize 111In-Dinutuximab-IRDye800, a dual-modality GD2-targeted intraoperative molecular imaging agent, for use in pediatric neuroblastoma to help enhance patient safety while facilitating a more complete resection. Methods: Dinutuximab was conjugated to IRDye800 and DTPA, then radiolabeled with Indium-111 to yield 111In-Dinutuximab-IRDye800. Optimization occurred through ELISA assay to assess binding affinity, fluorescence intensity analysis to determine the optimal fluorescent degree of labeling, and phototoxicity testing through flow cytometry. Rodent models of neuroblastoma were then generated through injection of SK-N-BE(2) human neuroblastoma cells into the left adrenal glands of nude mice or RNU rats. A series of fluorescent and gamma biodistributions was performed, varying the dose, timing, and specific activity of the tracer. Tumor and organ uptake of the tracer was compared with one- or two-way ANOVA as appropriate, with Sidaks multiple comparison test to compare tumor uptake to individual organs. Once optimization was complete, a clinically significant events study modeled after human clinical trials was performed to evaluate the in vivo capabilities of 111In-Dinutuximab-IRDye800. Results: Increased ratios of IRDye800 per antibody led to decreased binding affinity for GD2 and was associated with formulation instability without significant return on fluorescence intensity. Specific activity of the tracer was not found to impact overall biodistribution of the tracer. A 45-50 microgram dose of 111In-Dinutuximab-IRDye800 with ratios around 1 DTPA and 1-1.5 IRDye800 per antibody imaged 4 days after tracer administration was found to be the optimal combination that maximized detectable tumor-specific signal. In the clinically significant events study mirroring human IMI clinical trials, fluorescent guidance identified additional malignant lesions not originally detected under white light in 64% of rodents. Conclusions: 111In-Dinutuximab-IRDye800 is a dual-modality GD2-targeted intraoperative imaging agent that is well-poised for clinical translation. As it preserves tumor specificity, yields clinically meaningful radiofluorescent signal, and is well-tolerated without adverse events after optimization was completed, it carries the potential to positively impact the safety and completeness of neuroblastoma resection.

Glioblastoma (GBM) is an aggressive malignancy with limited therapeutic options and poor survival. Cyclin-dependent kinase 4 (CDK4) is overexpressed in GBM and promotes tumor progression through canonical cell-cycle regulation and extranuclear functions related to metabolism, invasion, and tumor microenvironment modulation. Current ATP-competitive CDK4/6 inhibitors show limited selectivity, potentially causing off-target effects and resistance. We developed a strategy to identify novel CDK4 inhibitors targeting the CDK4-Cyclin D1 protein-protein interaction, a key determinant of CDK4 activation. Virtual screening of approximately 950,000 compounds, combining molecular docking and molecular dynamics simulations, identified candidate molecules that were subsequently evaluated using proximity ligation assays, in vitro kinase activity assays, phosphokinase profiling, and functional analyses in patient-derived GBM cell lines and additional cancer models. Diophenic emerged as the lead candidate, demonstrating consistent antiproliferative activity across multiple GBM and epithelial cancer models. The compound selectively disrupted the CDK4-Cyclin D1 interaction while sparing the closely related CDK6 complex, and inhibited CDK4 kinase activity in vitro. Functional studies showed that diophenic induced substantial cell death in GBM cells, significantly reduced invasiveness, and exhibited distinct effects on cell migration compared with CDK4/6 inhibitors. Furthermore, phosphokinase profiling revealed that diophenic modulates a more restricted signaling network than ATP-competitive inhibitors, supporting greater functional selectivity and reduced off-target activity. Aiming the CDK4-Cyclin D1 interface represents a promising alternative to ATP-competitive CDK4/6 inhibition, which target a highly conserved site across the protein kinase superfamily. This approach provides a proof of concept for developing next-generation CDK4-selective therapeutics. Further studies should evaluate its translational potential in GBM.

Pancreatic ductal adenocarcinoma (PDAC) is characterized by an immunosuppressive tumor microenvironment (TME) with pancreatic myofibroblasts (PMF) and macrophages being two prominent cell populations essentially impairing tumor responses to (immuno)therapies. L1 cell adhesion molecule (L1CAM) is upregulated in PDAC cells in primary and metastatic tissues and associated with tumor progression and therapy resistance. Using L1CAM as tumor-associated antigen, two bispecific antibodies (bsAB) targeting L1CAM and CD3 were developed in the IgG-(L)-ScFv format and their anti-tumorigenic activity was investigated in different preclinical PDAC models. In 2D models, both L1-bsAB exerted L1CAM-specific anti-PDAC cell activity when co-cultured with activated CD8+ T cells. Strong anti-PDAC cell effects along with elevated release of T cell effector molecules were also observed upon co-culture with peripheral blood mononuclear cells (PMBC) from healthy donors and PDAC patients. Of note, both L1-bsAB were also effective in 3D PDAC cell spheroids and neither impaired by PMF nor macrophages. Finally, application of L1-bsAB on organotypic tissue slice cultures from PDAC tissues comprising the entire complex TME also induced PDAC cell apoptosis and release of T cell effector molecules. Overall, our results highlight relevant anti-PDAC cell activity of L1-bsAB in immunosuppressive contexts supporting their potential as immunotherapeutic strategy for PDAC.

TROP2-targeted antibody-drug conjugates (ADCs) have demonstrated promising clinical activity in triple-negative breast cancer (TNBC) as monotherapies; however, therapeutic benefit varies among patients. Combination strategies pairing TROP2-targeted ADCs with immune checkpoint inhibitors are also being investigated. Elucidating the mechanistic drivers of ADC monotherapy variability and enabling the rational development of combination regimens require computational frameworks that integrate ADC pharmacology with tumor-immune interactions. A quantitative systems pharmacology (QSP) model is presented that incorporates an ADC module into our established immuno-oncology model for TNBC. The module captures ADC and payload pharmacokinetics and pharmacodynamics. TNBC heterogeneity is represented by two tumor cell clones with high and low TROP2 expression, informed by prior characterizations, and differential sensitivity to the ADC payload is incorporated as an intrinsic property of each clone. Although generalizable, the model was applied to the TROP2-targeted ADC sacituzumab govitecan (SG, TRODELVY). A virtual patient cohort was generated using Latin hypercube sampling and calibrated against objective response rate (ORR) data from SG Phase I/II TNBC basket trial. The model predicted an ORR of 33.2% consistent with ASCENT study (NCT02574455). Simulations suggest TROP2-mediated delivery contributes modestly to SG efficacy with tumor exposure driven largely by systemically released SN-38 payload being sufficient to induce cytotoxicity. Tumor heterogeneity emerged as a key determinant of response with ORR increasing as the fraction of payload-sensitive clones increased. Overall, this QSP framework for TROP2-targeted ADCs accounts for TNBC heterogeneity and is extendable to other ADCs and targets enabling interrogation of ADC mechanisms of action in conjunction with tumor-immune interactions.

Protein degradation mediated by PROteolysis TArgeting Chimeras (PROTACs) is a complex, dynamic, and multi-step process. The structural diversity of PROTACs, coupled with cellular heterogeneity, introduces considerable variability at each stage. Therefore, a straightforward yet comprehensive approach is essential to effectively dissect these mechanisms. The existing methods for evaluating PROTAC degradation are often time-consuming, labor-intensive, or expensive, and many capture only a partial view of the entire degradation process. Consequently, multiple complementary assays are typically required to obtain the complete picture. Here, we use commercially available Cyclin dependent Kinase 6 (CDK6) targeting PROTACs to demonstrate that a simple, single-step, no-wash, additive-free, GFP-based live-cell imaging approach can rapidly generate dynamic degradation metrics (Dmax, Rmax, TDmax, CDmax, DC50, Km, Tmax, Kdeg, Vmax, DT50, {tau} and TRmax) for comparing and ranking PROTACs within a controlled reporter system. The rapid assay turnaround time, excellent assay qualities and compatibility with high-throughput (HT) formats will facilitate quick hit identification and serve as a guiding assay for hit-to-lead optimization campaigns.