Discovery Platform Research Articles

Diverse and abundant phages exploit conjugative plasmids

Phages exert profound evolutionary pressure on bacteria by interacting with receptors on the cell surface to initiate infection. While the majority of phages use chromosomally encoded cell surface structures as receptors, plasmid-dependent phages exploit plasmid-encoded conjugation proteins, making their host range dependent on horizontal transfer of the plasmid. Despite their unique biology and biotechnological significance, only a small number of plasmid-dependent phages have been characterized. Here we systematically search for new plasmid-dependent phages targeting IncP and IncF plasmids using a targeted discovery platform, and find that they are common and abundant in wastewater, and largely unexplored in terms of their genetic diversity. Plasmid-dependent phages are enriched in non-canonical types of phages, and all but one of the 65 phages we isolated were non-tailed, and members of the lipid-containing tectiviruses, ssDNA filamentous phages or ssRNA phages. We show that plasmid-dependent tectiviruses exhibit profound differences in their host range which is associated with variation in the phage holin protein. Despite their relatively high abundance in wastewater, plasmid-dependent tectiviruses are missed by metaviromic analyses, underscoring the continued importance of culture-based phage discovery. Finally, we identify a tailed phage dependent on the IncF plasmid, and find related structural genes in phages that use the orthogonal type 4 pilus as a receptor, highlighting the evolutionarily promiscuous use of these distinct contractile structures by multiple groups of phages. Taken together, these results indicate plasmid-dependent phages play an under-appreciated evolutionary role in constraining horizontal gene transfer via conjugative plasmids.

The rise of subscription-based AI platforms for drug discovery

The rise of subscription-based AI platforms for drug discovery

Systematic HOIP interactome profiling reveals critical roles of linear ubiquitination in tissue homeostasis

Linear ubiquitination catalyzed by HOIL-1-interacting protein (HOIP), the key component of the linear ubiquitination assembly complex, plays fundamental roles in tissue homeostasis by executing domain-specific regulatory functions. However, a proteome-wide analysis of the domain-specific interactome of HOIP across tissues is lacking. Here, we present a comprehensive mass spectrometry-based interactome profiling of four HOIP domains in nine mouse tissues. The interaction dataset provides a high-quality HOIP interactome resource with an average of approximately 90 interactors for each bait per tissue. HOIP tissue interactome presents a systematic understanding of linear ubiquitination functions in each tissue and also shows associations of tissue functions to genetic diseases. HOIP domain interactome characterizes a set of previously undefined linear ubiquitinated substrates and elucidates the cross-talk among HOIP domains in physiological and pathological processes. Moreover, we show that linear ubiquitination of Integrin-linked protein kinase (ILK) decreases focal adhesion formation and promotes the detachment of Shigella flexneri-infected cells. Meanwhile, Hoip deficiency decreases the linear ubiquitination of Smad ubiquitination regulatory factor 1 (SMURF1) and enhances its E3 activity, finally causing a reduced bone mass phenotype in mice. Overall, our work expands the knowledge of HOIP-interacting proteins and provides a platform for further discovery of linear ubiquitination functions in tissue homeostasis.

Abstract LB263: A first-in-class multimodal immunotherapy for induction of tertiary lymphoid structures as a novel therapeutic strategy for solid tumors

Abstract Immune checkpoint inhibitors (ICI) have transformed cancer treatment. However, long term disease control is often not achieved and resistance frequently occurs. Formation of organized intratumoral aggregates of lymphocytes (tertiary lymphoid structures, TLS) has been associated with response to ICI suggesting therapeutics able to induce intratumoral TLS could enhance the response to ICI treatment. TLS formation requires antigen presentation, stromal activation and immune stimulation - diverse events difficult to obtain with a single therapeutic. The enLIGHTEN™ Discovery Platform aims to create multimodal therapeutics by leveraging human biology and advanced analytics to select multigene payloads delivered by herpes simplex virus (HSV) vectors to the tumor microenvironment. Optimal payload combinations are predicted based on in silico experiments and then tested in proprietary multiplex assays used to evaluate the contribution of payload components and model the therapeutic biological effect of predicted payload combinations. Alpha-201, a replication-defective oncolytic virus, was selected from a suite of modified HSV vectors as the biological chassis due to its ability to release tumor antigens and activate pathways associated with response to ICI (e.g., MYC targets, E2F targets, G2M checkpoint; normalized enrichment scores of 2.4, 3.0, and 3.2, respectively, p<0.001). A library of single gene encoding Alpha-201 vectors was constructed, each expressing one in silico predicted payload component (e.g., IL-7, CXCL13, LTB or CCL19). The top two scoring combinations of these viral gene constructs (termed Multiplex A and Multiplex B) were next tested for their effects on TLS induction and anti-tumor efficacy in complementary in vivo models. First, the ability of HSV gene construct combinations to induce TLS was tested in murine salivary glands, a tissue highly permissive to TLS formation. As predicted, delivery of both multiplexes increased the number, size, organization and maturity of virally induced TLS. Of note, TLS were characterized by the presence of mature fibroblastic reticular cells and CCL21 expression, effects not observed with biological chassis administration alone. Second, anti-tumor efficacy was tested in EMT6 tumor-bearing mice. Both multiplexes induced tumor growth inhibition compared to vehicle control mice (Multiplex A: 39.8±10.5%, p=0.004, Multiplex B: 38.6%±12.1, p=0.011, n=8 per group). In combination with anti-PD-1 antibody therapy, multiplex treatment also increased the number of long-term survivors (>40 days) as compared to control (2/11 vs. 0/8). Characterization of intratumoral TLS induction is ongoing. In conclusion, we have demonstrated the ability of enLIGHTEN™ to design multimodal specific therapeutics, resulting in the development of a first-in-class immunotherapeutic for TLS induction in solid tumors. Citation Format: Anne R. Diers, Qiuchen Guo, John D. Christie, David Krisky, Fabrina M. Gaspal, Erin Richardson, Charlotte G. Smith, David R. Withers, Adam P. Croft, Paul P. Tak, Francesca Barone. A first-in-class multimodal immunotherapy for induction of tertiary lymphoid structures as a novel therapeutic strategy for solid tumors [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 2 (Late-Breaking, Clinical Trial, and Invited Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(7_Suppl):Abstract nr LB263.

Abstract LB429: Discovery and identification of a novel cancer associated fibroblast target using Oxford Biotherapeutics (OBTs) OGAP discovery platform

Abstract Cancer Associated Fibroblasts (CAFs) are a major component of the tumor stromal microenvironment and have been indicated in promoting tumor growth as well as inhibiting tumor suppression mechanisms. One of the challenges in this field has been a lack of molecules that target CAFs specifically and can interfere with the CAF function. Here we describe a novel target discovered using OBTs proprietary OGAP platform, that appears to be specific for CAFs in a variety of tumor tissues. Interestingly this target appears to be minimally expressed in normal tissue fibroblasts by in situ hybridization RNA analysis but is highly upregulated in solid tissue stroma fibroblasts of colon, breast and pancreatic cancer tissues. The OGAP Discovery Platform utilizes a mass spectrometry approach to identify membrane targets on the surface of tumor cells as well as tumor microenvironment associated cells. This suggests that this novel target is expressed on the membrane of the CAFs making it a unique target for drug intervention. The identification of such a novel target is both exciting and a wonderful validation of OBTs OGAP Discovery Platform. Citation Format: Jeremy Sarnecky, Joseph Lewis, Jason Allen, Daniel Davies, Matthew Metzger, Ben Thomas, Christian Rohlff, Belinda Cairns. Discovery and identification of a novel cancer associated fibroblast target using Oxford Biotherapeutics (OBTs) OGAP discovery platform [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 2 (Late-Breaking, Clinical Trial, and Invited Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(7_Suppl):Abstract nr LB429.

Abstract LB201: ENIGMAC platform enables at-scale CRISPRi screenings for macrophage target discovery

Abstract RNA sequencing has improved our understanding of cellular heterogeneity by providing in-depth transcriptome information at the single cell level. However, this “dataset infodemic” did not translate into an abundance of new validated targets due to the difficulties in performing gene-to-function studies. The main goal of the ENIGMAC™ discovery platform is to support gene-to-function studies and to deliver new validated macrophage targets. ENIGMAC™ combines custom, disease relevant assays and unique genome editing methods supported by multi-omics bioinformatics analyses yielding selected gene sets for interrogation. We use a human Induced Pluripotent Stem Cell (iPSC) line that yields macrophages phenotypically and functionally similar to MDM. By employing this iPSC system, we can produce millions of macrophages per week, which allows multiple high throughput assays to support target validation and drug discovery. Furthermore, we developed several proprietary technologies allowing fast and reliable gene editing of macrophages, including gene Knock In (KI), Knock Out (KO) and Knock Down (KD) with high efficiency both at iPSC and macrophage level while maintaining expression/silencing during macrophage differentiation. Here we report preliminary results of the CRISPRi screen, aiming to identify novel regulators of INFg-mediated PD-L1 upregulation on macrophages, a surrogate readout for a suppressive phenotype. To this aim, we developed a proprietary human iPSC line that constitutively expresses dCAS9-KRAB protein, allowing for a highly gene specific guide RNA (sgRNA)-mediated method of silencing of gene transcription. Notably, our proprietary anti-silencing system allows to maintains dCAS9-KRAB expression throughout the entire macrophage differentiation process. During the screen, 100 million iPSC-derived microphages were transduced with a 6500 gRNAs library targeting 1300 genes selected from disease-relevant macrophage datasets. Macrophages were subsequently stimulated with INFg and sorted for loss of PD-L1 expression using flow cytometry. Sequencing of the PD-L1 low macrophage population successfully identified PD-L1 regulators such as IFNGR1, IFNGR2, JAK1, STAT1 and IRF1 among other hits. The novel hits are being now individually validated, and selected ones will be progressed to drug discovery. Importantly, this macrophage CRISPRi screen provides technical proof of concept for the ENIGMAC™ platform to perform screens at scale and to identify novel hits. In conclusion, the ENIGMAC™ platform represents a unique tool for gene to function studies using human macrophages. Furthermore, it is disease agnostic and can be integrated with a variety of disease-specific conditions and phenotypic readouts. Citation Format: Thomas W. Monteiro Crozier, Martha Lopez-Yrigoyen, Helena Engman, Moritz Haneklaus, Samuel Witham, Krzystof B. Wicher, Steven Myatt, Luca Cassetta, Carola Ries. ENIGMAC platform enables at-scale CRISPRi screenings for macrophage target discovery [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 2 (Late-Breaking, Clinical Trial, and Invited Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(7_Suppl):Abstract nr LB201.

Turning Visions Into Reality: Lessons Learned From Building a Search and Discovery Platform

Turning Visions Into Reality: Lessons Learned From Building a Search and Discovery Platform

ShapeAXI: Shape Analysis Explainability and Interpretability.

ShapeAXI represents a cutting-edge framework for shape analysis that leverages a multi-view approach, capturing 3D objects from diverse viewpoints and subsequently analyzing them via 2D Convolutional Neural Networks (CNNs). We implement an automatic N-fold cross-validation process and aggregate the results across all folds. This ensures insightful explainability heat-maps for each class across every shape, enhancing interpretability and contributing to a more nuanced understanding of the underlying phenomena. We demonstrate the versatility of ShapeAXI through two targeted classification experiments. The first experiment categorizes condyles into healthy and degenerative states. The second, more intricate experiment, engages with shapes extracted from CBCT scans of cleft patients, efficiently classifying them into four severity classes. This innovative application not only aligns with existing medical research but also opens new avenues for specialized cleft patient analysis, holding considerable promise for both scientific exploration and clinical practice. The rich insights derived from ShapeAXI's explainability images reinforce existing knowledge and provide a platform for fresh discovery in the fields of condyle assessment and cleft patient severity classification. As a versatile and interpretative tool, ShapeAXI sets a new benchmark in 3D object interpretation and classification, and its groundbreaking approach hopes to make significant contributions to research and practical applications across various domains. ShapeAXI is available in our GitHub repository https://github.com/DCBIA-OrthoLab/ShapeAXI.

MolProphet: A One-Stop, General Purpose, and AI-Based Platform for the Early Stages of Drug Discovery.

Artificial intelligence (AI) is an effective tool to accelerate drug discovery and cut costs in discovery processes. Many successful AI applications are reported in the early stages of small molecule drug discovery. However, most of those applications require a deep understanding of software and hardware, and focus on a single field that implies data normalization and transfer between those applications is still a challenge for normal users. It usually limits the application of AI in drug discovery. Here, based on a series of robust models, we formed a one-stop, general purpose, and AI-based drug discovery platform, MolProphet, to provide complete functionalities in the early stages of small molecule drug discovery, including AI-based target pocket prediction, hit discovery and lead optimization, and compound targeting, as well as abundant analyzing tools to check the results. MolProphet is an accessible and user-friendly web-based platform that is fully designed according to the practices in the drug discovery industry. The molecule screened, generated, or optimized by the MolProphet is purchasable and synthesizable at low cost but with good drug-likeness. More than 400 users from industry and academia have used MolProphet in their work. We hope this platform can provide a powerful solution to assist each normal researcher in drug design and related research areas. It is available for everyone at https://www.molprophet.com/.

Disulfide-constrained peptide scaffolds enable a robust peptide-therapeutic discovery platform.

Peptides present an alternative modality to immunoglobulin domains or small molecules for developing therapeutics to either agonize or antagonize cellular pathways associated with diseases. However, peptides often suffer from poor chemical and physical stability, limiting their therapeutic potential. Disulfide-constrained peptides (DCP) are naturally occurring and possess numerous desirable properties, such as high stability, that qualify them as drug-like scaffolds for peptide therapeutics. DCPs contain loop regions protruding from the core of the molecule that are amenable to peptide engineering via direct evolution by use of phage display technology. In this study, we have established a robust platform for the discovery of peptide therapeutics using various DCPs as scaffolds. We created diverse libraries comprising seven different DCP scaffolds, resulting in an overall diversity of 2 x 1011. The effectiveness of this platform for functional hit discovery has been extensively evaluated, demonstrating a hit rate comparable to that of synthetic antibody libraries. By utilizing chemically synthesized and in vitro folded peptides derived from selections of phage displayed DCP libraries, we have successfully generated functional inhibitors targeting the HtrA1 protease. Through affinity maturation strategies, we have transformed initially weak binders against Notch2 with micromolar Kd values to high-affinity ligands in the nanomolar range. This process highlights a viable hit-to-lead progression. Overall, our platform holds significant potential to greatly enhance the discovery of peptide therapeutics.

A VHH single-domain platform enabling discovery and development of monospecific antibodies and modular neutralizing bispecifics against SARS-CoV-2 variants.

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) continues to evolve, escape coronavirus disease 2019 therapeutics and vaccines, and jeopardize public health. To combat SARS-CoV-2 antigenic escape, we developed a rapid, high-throughput pipeline to discover monospecific VHH antibodies and iteratively develop VHH-Fc-VHH bispecifics capable of neutralizing emerging SARS-CoV-2 variants. By panning VHH single-domain phage libraries against ancestral or beta spike proteins, we discovered high-affinity VHH antibodies with unique target epitopes. Combining two VHHs into a tetravalent bispecific construct conferred broad neutralization activity against multiple variants and was more resistant to antigenic escape than the monospecific antibody alone. Following the rise of the Omicron variant, a VHH in the original bispecific construct was replaced with another VHH discovered against the Omicron BA.1 receptor binding domain; the resulting bispecific exhibited neutralization against both BA.1 and BA.5 sublineage variants. A heavy chain-only tetravalent VHH-Fc-VHH bispecific platform derived from humanized synthetic libraries held a myriad of unique advantages: (i) synthetic preconstructed libraries minimized risk of liabilities and maximized discovery speed, (ii) VHH scaffolds allowed for a modular "plug-and-play" format that could be rapidly iterated upon as variants of concern arose, (iii) natural dimerization of single VHH-Fc-VHH polypeptides allowed for straightforward bispecific production and purification methods, and (iv) multivalent approaches enhanced avidity boosting effects and neutralization potency, and conferred more robust resistance to antigenic escape than monovalent approaches against specific variants. This iterative platform of rapid VHH discovery combined with modular bispecific design holds promise for long-term viral control efforts.

A phage-displayed disulfide constrained peptide discovery platform yields novel human plasma protein binders.

Disulfide constrained peptides (DCPs) show great potential as templates for drug discovery. They are characterized by conserved cysteine residues that form intramolecular disulfide bonds. Taking advantage of phage display technology, we designed and generated twenty-six DCP phage libraries with enriched molecular diversity to enable the discovery of ligands against disease-causing proteins of interest. The libraries were designed based on five DCP scaffolds, namely Momordica charantia 1 (Mch1), gurmarin, Asteropsin-A, antimicrobial peptide-1 (AMP-1), and potato carboxypeptidase inhibitor (CPI). We also report optimized workflows for screening and producing synthetic and recombinant DCPs. Examples of novel DCP binders identified against various protein targets are presented, including human IgG Fc, serum albumin, vascular endothelial growth factor-A (VEGF-A) and platelet-derived growth factor (PDGF). We identified DCPs against human IgG Fc and serum albumin with sub-micromolar affinity from primary panning campaigns, providing alternative tools for potential half-life extension of peptides and small protein therapeutics. Overall, the molecular diversity of the DCP scaffolds included in the designed libraries, coupled with their distinct biochemical and biophysical properties, enables efficient and robust identification of de novo binders to drug targets of therapeutic relevance.

Abstract 4112: Identification of Th1-specific epitopes from non-mutated KRAS lesions for off-the-shelf cancer vaccines

Abstract Background KRAS is crucial for cell growth, differentiation, and signaling. Mutations in the KRAS gene (i.e., codon 12 or 13) are frequently associated with the development and progression of cancer, particularly lung, colorectal, and pancreatic cancers. Recently, it has been captured that KRAS targeting cancer vaccine research and clinical trials have been conducted in certain tumor types and vaccine approaches are encouraged to move forward. It has been well known that the tumor-eradicating efficacy of cancer vaccines arises from Th1 epitope selection. While tumor growth may persist after immunization with non-selected epitopes (including full-length), immunization with a highly selected Th1-specific epitope vaccine can lead to tumor regression by suppressing the activation of immune inhibitory cells. The Th-Vac® discovery platform uses a combination of in-silico, in-vitro, and in-vivo studies to precisely identify Th1-specific epitopes. It consists of two modules: module 1 (in-silico) and module 2 (in-vitro and efficacy evaluation). The aim is to identify MHC class II epitopes that are specific to antigens for CD4+ T cells, displaying the most favorable binding affinity across diverse alleles. Th1-specific epitope vaccines aim to boost and sustain T cell immunity against tumor antigens, overcoming the lack of a precise T cell response or pre-existing tolerance in the immunosuppressive TME. This study aimed to explore Th1-specific epitopes for KRAS vaccine to be potentially effective in numerous KRAS mutation-driven cancers. Methods Peptide sequence candidates that have highly potential of MHC class II binding affinity were comprehensively predicted via a module 1 (ASEP program). All of peptides selected in ASEP were synthesized as 15 mers. Each peptide was evaluated for immunogenicity using ELISpot and/or FACS analysis in module 2 (2a for in vitro and 2b for in vivo immunologic evaluation) of the Th-Vac® discovery platform. Specifically, in Module 2b, immunogenicity was evaluated using a 38-mer peptide formed by combining five overlapping peptides selected in 2a. These kinds of immunogenicity evaluations were conducted using type 1 and/or type 2 cytokine(s) produced by CD4+ T cells. Results In ASEP prediction, twelve peptides were selected as potential candidates demonstrating a high affinity to MHC class II, which were in different lesions of common mutation of KRAS. In module 2 using ELISpot and FACS analysis, two epitopes (non-mutated sequences) were finally selected as Th1-specific epitopes based on the type 1 T cell response. Conclusion Unlike previous vaccines using mutant lesions, in this study, two non-mutated Th1-specific epitopes are under the in-vivo efficacy studies as mono and combining regimen(s) in certain tumor types. Additionally, the Th-Vac® platform was fully validated in terms of the performance and its application would be expanded beyond a cancer vaccine. Citation Format: Youngki Choi, Jinback Lim, Hyo-Hyun Park, Jinho Kang, Hun Jung. Identification of Th1-specific epitopes from non-mutated KRAS lesions for off-the-shelf cancer vaccines [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 4112.

Abstract 5315: Bispecific antibody discovery platform for IND enabling studies: Case study of HER-2/NKG2D bispecific antibody

Abstract There has been a surge in the number of therapeutic antibody modalities primarily attributable to the increasing array of antibody engineering platforms. Among these, the emergent class of bispecific antibodies has exhibited remarkable potential compared to conventional monoclonal antibodies, marked by their targeting precision, expanded therapeutic scope, and personalized medicine prospects. Presently, eight bispecific antibodies are approved, with over 100 in varying clinical trial phases. Using a bispecific targeting HER-2 and NKG2D, we outline a comprehensive end-to-end platform for bispecific antibody discovery and characterization, designed to facilitate the progression of novel bispecific antibodies through the antibody discovery pipeline. To secure the most optimal binders tailored to specific targets, our methodology capitalizes on an extensive repertoire of phage display libraries. This strategy is instrumental in the identification of antibody candidates with exceptional binding affinity, broad cross-species compatibility, and enhanced drug-like properties. From the anti-HER2 chimeric antigen receptor ML39 and anti-NKG2D Fab KYK2.0, we synthesized four distinct bispecific formats by fusing single-chain variable fragments (scFv) to immunoglobulin G (IgG) molecules. These formats varied in terms of valency and scFv positioning, allowing us to assess their impact on antibody expression, binding kinetics, and functional efficacy. Subsequently, the bispecific antibodies underwent comprehensive in vitro efficacy and safety characterization, employing multiple innovative technologies. Utilizing a distinctive label-free approach with the xCELLigence system, we elucidated the kinetics of immune cell-mediated target cell killing upon antigen-antibody complex recognition in specific cancer cells. Safety assessments, with a focus on on-target/off-tumor effects, were conducted using the Retrogenix platform. Furthermore, cytokine profiling was utilized to evaluate potential risks associated with enhanced cytokine levels, reinforcing the specificity and safety profile of the bispecific antibody. Finally, pertinent in vivo models, including peripheral blood mononuclear cells (PBMC) and immune cell transfer models, facilitated the translation of preclinical bispecific antibody evaluations into clinically relevant contexts. This comprehensive platform for bispecific antibody discovery and functional characterization serves as a robust foundation for supporting Investigational New Drug (IND) applications, thus facilitating the transition of novel bispecific antibodies from the pre-clinical to the clinical phase of the drug discovery process. Citation Format: Laura Ratcliffe, Rachel Pooley, Katherine Carr, Hamed Janbazacyabar, David Cobeta Lopez, Deborah Bruce, Sarah L. Martin, Matthew Benson, Jonathan White, Benita Quist, Sophie Vermond, Gemma Moiset, Sophie Hill, Renny Feldman, Paul Wan, Eva Oswald, Folkert Verkaar, Mark Aspinall-O'Dea, Julia Schueler, Namrata Jayanth. Bispecific antibody discovery platform for IND enabling studies: Case study of HER-2/NKG2D bispecific antibody [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 5315.

Abstract 6918: Ba/F3-BCR-ABL engineering cell line panel, a useful platform for novel drug discovery

Abstract In the past few years, with the great success of Imatinib, the first kinase inhibitor, Imatinib rapidly became the first-line treatment for CML (Chronic myelogenous leukemia) carrying the BCR-ABL mutation. It opened a new chapter in targeted cancer treatment. Despite the increase in overall survival allowed by imatinib, the onset of drug resistance led scientists to investigate imatinib's fine structural mechanism of action to develop new and more effective compounds against mutated forms of Bcr-Abl. 7 BCR-ABL inhibitors have been approved, they are Imatinib, Dasatinib, Nilotinib, Bosutinib, Ponatinib, Olverembatinib, and Asciminib. However, acquired resistance has been a major challenge in the treatment of CML, and some patients still experience disease progression or even death due to drug resistance. BCR-ABL kinase domain mutations are one of the important mechanisms of acquired resistance, with the T315I mutation being the most common type of drug resistance mutation, accounting for approximately 25% of drug-resistant CML cases. Patients with T315I mutations in CML are resistant to all current first- and second-generation BCR-ABL inhibitors. Asciminib is designed as an allosteric inhibitor combined with an ATP-competitive TKI agent, which may hinder the development of mutation-driven acquired resistance or restore efficacy against highly resistant BCR-ABL mutants. Our group has generated 38 Ba/F3-BCR-ABL engineering cell lines as useful models for novel drug discovery in vitro and in vivo, including wild-type BCR-ABL and inhibitors leading drug resistance mutations, such as T315I, E255, Y253, F317, F359. V299, G250, A337T, V468F, and double mutations. Each cell was validated by cell sequencing and cell efficacy verification using approved BCR-ABL inhibitors. The Ba/F3-BCR-ABL engineering cell line panel can be useful for developing and evaluating next-generation BCR-ABL inhibitors and exploring newly acquired resistance mutations in BCR-ABL. Citation Format: Guoqian Wang, Yao Peng, Yu Wang, Yao Tang, Jingxiao Xu, Jinying Ning, Feng Hao. Ba/F3-BCR-ABL engineering cell line panel, a useful platform for novel drug discovery [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 6918.

Abstract 6917: Ba/F3 AKT engineering cell lines, a useful platform for novel drug discovery

Abstract AKT, also known as phosphoinositide 3-kinase (PI3K), plays a key role in various signaling cascades involved in cell growth and division, apoptosis inhibition, and angiogenesis. For AKT, which is at the central node of the PI3K/AKT/mTOR signaling pathway, the loss of PTEN, mutation, or amplification of AKT/PIK3CA can lead to the overactivation of the AKT signaling pathway, resulting in the occurrence and development of tumors. Recent studies have also found that AKT activation is associated with drug resistance in tumor therapy. Therefore, AKT has become a hot target for tumor therapy. The AKT family consists of three highly homologous isoforms, AKT1 (PKBα), AKT2 (PKBβ), and AKT3 (PKBγ), with more than 85% homology in their kinase regions. E17K is the most common and well-characterized activating mutation, accounting for approximately 15% of all AKT mutations. Rare mutations mainly include L52R, Q79K, and D323H. The failures of AKT inhibitors LY2780301 and Bayer's BAY1125976 demonstrate the significant challenges and complexities in developing inhibitors of the AKT pathway. Currently, the most advanced AKT inhibitor globally is AstraZeneca's capivasertib, which is primarily indicated for HR+ breast cancer and triple-negative breast cancer. Our group has generated 21 Ba/F3-AKT engineering cell lines, as useful models for novel drug discovery in vitro and in vivo, almost all clinically significant mutations were included, such as common mutations AKT1/2-E17K as well as rare mutations L52R, Q79K, D323H, and others. The Ba/F3-AKT engineering cell lines can be useful for developing and evaluating next-generation AKT inhibitors and exploring newly acquired resistance mutations in AKT. Citation Format: Guoqian Wang, Yao Tang, Jingxiao Xu, Yao Peng, Yu Wang, Jingying Ning, Feng Hao. Ba/F3 AKT engineering cell lines, a useful platform for novel drug discovery [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 6917.

Abstract 3092: MICRO-TAG: A novel fluorescence-based real-time cellular target engagement platform for drug discovery

Abstract Success of drug discovery programs can be amplified by adopting emerging technologies that can interrogate drug targets within their physiological context. Cell target engagement (CTE) presents a combined biological & biophysical method, which provides quantitative evaluation of target-drug interaction within the native environment of the cell. The currently available luminescence-based CTE methods are limited to measurement of end-point signal and poor resolution, thereby limiting their mechanistic and stoichiometric insight. We have developed MICRO-TAG, a novel fluorescence-based CTE platform, which relies on complementation of split-RNAse A. It enables interrogation of target engagement without interfering with folding, localization and function of target proteins - all within the physiological milieu of the cell. Uniquely, this new platform allows for quantitation and monitoring of CTE in real- time in the cell. It enables extraction of important parameters from target-drug interaction: target thermal profile and temperature of aggregation (Tagg), time required to reach equilibrium (teq), apparent association rate (Kon) and physiologically relevant drug:target binding affinity (KD). We provide data demonstrating potential and utility of MICRO-TAG platform on drug targets, such as KRAS, MTH1, EGFR, and UBE2N. The platform demonstrates relevance for discovery of novel drug candidates targeting challenging drug targets such as transcription factors. This highly scalable and quantitative novel method for assessing drug-target interaction within cells can enhance drug discovery programs, and offers potential to rapidly identify clinically relevant hit compounds for challenging drug targets. Citation Format: Ivan Babic, Nikolas Bryan, Claire Cunningham, Avery Sampson, Daniel Starczynowski, Elmar Nurmemmedov. MICRO-TAG: A novel fluorescence-based real-time cellular target engagement platform for drug discovery [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 3092.

Abstract 5894: Novel splicing-derived neoantigen in triple negative breast cancer uncovered by SpliceIO™ a robust platform for the discovery and validation of disease-specific immunotherapies

Abstract Splicing dysregulation is a major hallmark of cancer, affecting tumor progression, metastasis, and therapy resistance. Aberrant alternative splicing (AS) plays a critical role in generating tumor-specific neoantigens targetable through an arsenal of immunotherapeutic modalities. Such neoantigens cannot be discovered using conventional DNA-based tools; they require specialized software for AS analysis using RNA-seq data. SpliceIO is Envisagenics’ AI platform for AS-derived neoantigen discovery. SpliceIO uses a “predictive ensemble” approach to uncover neoantigens that are both stably expressed and located on the extracellular membrane of cancer cells. Using SpliceIO, we have analyzed more than 10,000 RNA-seq samples from 5 patient cohorts covering 5 breast cancer subtypes as well as 2,647 normal RNA-seq samples from GTEx. Our analysis has identified tumor-specific neoantigens present in AS transmembrane proteins specific for Triple Negative Breast Cancer. SpliceIO target candidates were validated experimentally using our well-established pipeline in which isoform specific transcripts are tested in cancer cell lines by PCR and primary tumor tissues by qPCR to confirm RNA expression. Tumor heterogeneity and prevalence is confirmed by RNA in-situ hybridization in Tissue Microarrays. Extracellular localization of the novel epitope is confirmed by clone generation with GFP and c-Myc tagging followed by microscopy, Western blotting, and proteomic analysis. Our top validated target presents high TNBC tumor specificity and heterogeneous distribution, and contains a novel extracellular N-terminal domain. These results strongly support the role of aberrant AS as a major source of tumor-specific neoantigens. Our combined computational and experimental approach promotes novel target discovery, enabling the development of novel immunotherapeutic for TNBC patients who are in critical need of better treatment options. Citation Format: Nicole Williams, Miguel A. Manzanares, Kendall Anderson, Hasan Zunrut, Sakshi Gera, Nayab Habib, Shaleigh Stanton, Taylor Floyd, Sanjana Shah, Devon Trahan, Martin Akerman, Gayatri Arun. Novel splicing-derived neoantigen in triple negative breast cancer uncovered by SpliceIO™ a robust platform for the discovery and validation of disease-specific immunotherapies [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 5894.

Abstract 1405: Development of a humanized anti-IL-22 antibody for cancer and inflammation therapy

Abstract Interleukin-22 (IL-22) is an inflammatory cytokine involved in the pathology of autoimmune diseases such as psoriasis, atopic dermatitis, and ulcerative colitis. IL-22 has also been shown to promote epithelial cell proliferation, stemness and tumorigenesis in cancer, and is associated with a more aggressive phenotype in a variety of cancers including inflammatory colon cancer models. IL-22 plays a central role in this pathogenic process by driving activation of STAT3 and other signaling cascades. Recent studies demonstrated that neutralization of IL-22 reduced dysplasia and tumor development in preclinical models. However, there has not been a clear application for anti-IL-22 therapy for cancer and autoimmune diseases, likely due to identifying the right disease indication and their low potency and efficacy. Thus, there remains an opportunity to explore the potential of more potent anti-IL-22 therapeutics. We have developed humanized anti-IL-22 antibodies with high affinities to human, cynomolgus and mouse IL-22 using BioAtla’s proprietary antibody discovery and engineering platforms. In vitro data demonstrated that our anti-IL-22 antibodies inhibited IL-22-induced p-STAT3 activities. In addition, our antibodies showed a 10-fold increased binding activity to human IL-22 compared to Fezakinumab, which was previously developed by Pfizer for the treatment of autoimmune diseases. To test the functions of our antibodies in vivo, we established an inflammation-driven sporadic colitis-associated colorectal (CAC) cancer mouse model. Our humanized anti-IL-22 antibody, a potent, species cross-reactive anti-IL-22 blocking antibody, significantly reduced tumor progression in CAC model. These data suggest that targeting IL-22 reduces tumor occurrence by reducing inflammation-induced tumorigenesis. In addition, we evaluated our anti-IL22 antibodies in an imiquimod-induced psoriasiform skin inflammation mouse model. The mice treated with anti-IL22 antibodies had significantly reduced skin lesions compared to isotype antibody-treated mice. Q-PCR analysis of the mouse skin demonstrated that treatment with our anti-IL-22 antibody led to significantly decreased RNA levels of the imiquimod-induced inflammatory marker CXCL3. In conclusion, the development of a potent, species cross-reactive anti-IL-22 antibody using BioAtla’s antibody discovery and engineering platforms addresses the past challenges of anti-IL-22 therapeutics and allows for translational studies in relevant animal efficacy and safety models. Citation Format: Jian Chen, Cathy Chang, Gerhard Frey, Haizhen Liu, Jing Wang, William J. Boyle, Jay M. Short. Development of a humanized anti-IL-22 antibody for cancer and inflammation therapy [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 1405.

Abstract 5888: Novel immune-therapeutic target for lung cancer uncovered by SpliceIO™, an innovative platform that identifies disease-specific alternative splicing

Abstract Alternative splicing (AS) plays a critical role in generating tumor-specific neoantigens targetable through an arsenal of immunotherapeutic modalities. Previous studies have demonstrated tumor-promoting activity of deregulated AS isoforms and mutated splicing factors, both of which increase the yield of neoantigen-encoding AS isoforms. Therefore, the identification of AS isoforms has the potential to produce novel therapeutic targets, especially in lung tumors where splicing deregulation is frequent. Envisagenics has developed SpliceIO, a proprietary software platform for AS-derived neoantigen discovery. SpliceIO uses RNA-seq data to uncover extracellular neoantigens encoded by transmembrane proteins. This predictive ensemble maximizes the value of RNA-seq data to predict fundamental aspects of neoantigen activity, such as protein localization, epitope accessibility, and cancer pathway relevance. Here, we summarize the discovery and validation of novel AS-derived neoantigens identified using SpliceIO in non-small cell lung cancer (NSCLC). Our novel SpliceIO-identified neoantigens in NSCLC were validated following our well-established experimental pipeline. We have confirmed RNA expression of the neoantigen-expressing transcripts in lung cancer cell lines and patient samples using a combination of RT-PCR as well as RNA-ISH. Further, we have validated the membrane-bound extracellular localization of neoantigen-containing isoforms at the protein level using Western blotting, GFP and c-Myc tagged isoform generation, eukaryotic cells transfection, and microscopy. Our top target showed high tumor specificity, heterogeneous distribution in tumor samples, high prevalence, confirmed novel extracellular N-terminal domain, and strong biological relevance in lung cancer. This demonstrates the potential of utilizing RNA splicing for identifying many more membrane associated proteins for tumor specific immunotherapeutic targeting. The combination of computational and experimental approaches to neoantigen identification using SpliceIO allows for novel target discovery amenable for targeted immunotherapeutic development for lung cancer treatment and other indications driven by deregulated AS. Citation Format: Miguel A. Manzanares, Kendall Anderson, Hasan Zumrut, Sakshi Gera, Nayab Habib, Nicole Williams, Shaleigh Stanton, Taylor Floyd, Sanjana Shah, Devon Trahan, Martin Akerman, Gayatri Arun. Novel immune-therapeutic target for lung cancer uncovered by SpliceIO™, an innovative platform that identifies disease-specific alternative splicing [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 5888.