High-throughput Screening Platform Research Articles

Dynamic microphysiological system chip platform for high-throughput, customizable, and multi-dimensional drug screening

Spheroids and organoids have attracted significant attention as innovative models for disease modeling and drug screening. By employing diverse types of spheroids or organoids, it is feasible to establish microphysiological systems that enhance the precision of disease modeling and offer more dependable and comprehensive drug screening. High-throughput microphysiological systems that support optional, parallel testing of multiple drugs have promising applications in personalized medical treatment and drug research. However, establishing such a system is highly challenging and requires a multidisciplinary approach. This study introduces a dynamic Microphysiological System Chip Platform (MSCP) with multiple functional microstructures that encompass the mentioned advantages. We developed a high-throughput lung cancer spheroids model and an intestine-liver-heart-lung cancer microphysiological system for conducting parallel testing on four anti-lung cancer drugs, demonstrating the feasibility of the MSCP. This microphysiological system combines microscale and macroscale biomimetics to enable a comprehensive assessment of drug efficacy and side effects. Moreover, the microphysiological system enables evaluation of the real pharmacological effect of drug molecules reaching the target lesion after absorption by normal organs through fluid-based physiological communication. The MSCP could serves as a valuable platform for microphysiological system research, making significant contributions to disease modeling, drug development, and personalized medical treatment.

Modelling dynamics of photosynthetic units and microalgae growth based on high throughput pulsed light screens

Light-dark cycles on the s timescale are typical of cell cycling through photobioreactors and high-rate ponds and can significantly impact microalgae cultivation efficiency. Here, a novel formulation of the Camacho-Rubio microalgae growth model was developed to simulate dynamic growth under pulsed light (s timescale). It simultaneously captures the dynamics of the photosynthetic units (PSUs: open, closed and photoinhibited) and their impact on biomass productivity over time. Theoretical knowledge of PSU mediated processes operating on characteristic timescales was used to identify intra- and inter-light cycle variable dynamics and guide the model formulation. For model calibration, dynamic profiles of microalgae growth under pulsed light in a High-Throughput Screening platform were employed, after Principal Component Analysis (PCA), to remove biological noise. Model parameters were estimated for Chlorella sp., and the model validated against additional data under both pulsed and continuous light. The average prediction error for OD750 (measure of biomass) was 8% under pulsed light and 15% under continuous light. For OD680/OD750 (measure of Chlorophyll cell−1) it was 8% under pulsed and continuous light, demonstrating the model’s ability to represent highly variable conditions with good accuracy.

A Multi-Drug Concentration Gradient Mixing Chip: A Novel Platform for High-Throughput Drug Combination Screening

Combinatorial drug therapy has emerged as a critically important strategy in medical research and patient treatment and involves the use of multiple drugs in concert to achieve a synergistic effect. This approach can enhance therapeutic efficacy while simultaneously mitigating adverse side effects. However, the process of identifying optimal drug combinations, including their compositions and dosages, is often a complex, costly, and time-intensive endeavor. To surmount these hurdles, we propose a novel microfluidic device capable of simultaneously generating multiple drug concentration gradients across an interlinked array of culture chambers. This innovative setup allows for the real-time monitoring of live cell responses. With minimal effort, researchers can now explore the concentration-dependent effects of single-agent and combination drug therapies. Taking neural stem cells (NSCs) as a case study, we examined the impacts of various growth factors—epithelial growth factor (EGF), platelet-derived growth factor (PDGF), and fibroblast growth factor (FGF)—on the differentiation of NSCs. Our findings indicate that an overdose of any single growth factor leads to an upsurge in the proportion of differentiated NSCs. Interestingly, the regulatory effects of these growth factors can be modulated by the introduction of additional growth factors, whether singly or in combination. Notably, a reduced concentration of these additional factors resulted in a decreased number of differentiated NSCs. Our results affirm that the successful application of this microfluidic device for the generation of multi-drug concentration gradients has substantial potential to revolutionize drug combination screening. This advancement promises to streamline the process and accelerate the discovery of effective therapeutic drug combinations.

Development of a gene-coded biosensor to establish a high-throughput screening platform for salidroside production

Metabolic engineering reconfigures cellular networks to produce value-added compounds from renewable substrates efficiently. However, identifying strains with desired phenotypes from large libraries through rational or random mutagenesis remains challenging. To overcome this bottleneck, an effective high-throughput screening (HTS) method must be developed to detect and analyze target candidates rapidly. Salidroside is an aromatic compound with broad applications in food, healthcare, medicine, and daily chemicals. However, there currently needs to be HTS methods available to monitor salidroside levels or to screen enzyme variants and strains for high-yield salidroside biosynthesis, which severely limits the development of microbial cell factories capable of efficiently producing salidroside on an industrial scale. This study developed a gene-encoded whole-cell biosensor that is specifically responsive to salidroside. The biosensor was created by screening a site-saturated mutagenic library of uric acid response regulatory protein binding bags. This work demonstrates the feasibility of monitoring metabolic flux with whole-cell biosensors for critical metabolites. It provides a promising tool for building salidroside high-yielding strains for high-throughput screening and metabolic regulation to meet industrial needs.

SEDATIVE EFFECT OF U-49900 (3,4-DICHLORO-N-(2-(DIETHYLAMINO)CYCLOHEXYL)-N-METHYL-BENZAMIDE) IN ADULT ZEBRAFISH

U-49900 is a chemical analogue of a selective μ-opioid receptor agonist U-47700. Despite the growing abuse of synthetic opioids, including U-49900, its psychopharmacological and toxicological profiles remain poorly understood. The zebrafish (Danio rerio) is a promising model organism in neuroscience, and is often used for the psychopharmacological evaluation of neurotropic drugs. The psychopharmacological profile of U-49900 was evaluated here in adult zebrafish at 1, 5, 10 and 25 mg/l (water immersion) tested in the novel tank test. U-49900 at 25 mg/l for 20 min reduces the distance traveled and the number of top entries in the novel tank test (p0.001 vs. control group), but unalters other parameters in this test. Overall, the sensitivity of zebrafish to synthetic non-fentanyl opioids like U-49900 suggests the possibility of developing high-throughput screening platforms for finding effective therapies for pathological conditions caused by synthetic opioids.

Efficient Delivery of Lomitapide using Hybrid Membrane-Coated Tetrahedral DNA Nanostructures for Glioblastoma Therapy.

Glioblastoma (GBM) is the most aggressive and prevalent primary malignant tumor of the central nervous system. Traditional chemotherapy has poor therapeutic effects and significant side effects due to drug resistance, the natural blood-brain barrier (BBB), and nonspecific distribution, leading to a lack of clinically effective therapeutic drugs. Here, 1430 small molecule compounds are screened based on a high-throughput drug screening platform and a novel anti-GBM drug, lomitapide (LMP) is obtained. Furthermore, a bionic nanodrug delivery system (RFA NPs) actively targeting GBM is constructed, which mainly consists of tetrahedral DNA nanocages (tFNA NPs) loaded with LMP as the core and a folate-modified erythrocyte-cancer cell-macrophage hybrid membrane (FRUR) as the shell. FRUR camouflage conferred unique features on tFNA NPs, including excellent biocompatibility, improved pharmacokinetic profile, efficient BBB permeability, and tumor targeting ability. The results show that the LMP RFA NPs exhibited superior and specific anti-GBM activities, reduced off-target drug delivery, prolonged lifespan, and has negligible side effects in tumor-bearing mice. This study combines high-throughput drug screening with biomimetic nanodrug delivery system technology to provide a theoretical and practical basis for drug development and the optimization of clinical treatment strategies for GBM treatment.

Exploiting the predictive power of educated spheroids to detect immune-mediated idiosyncratic drug-induced liver injury: the case of troglitazone.

Idiosyncratic drug-induced liver injury (iDILI) is a major concern in drug development because its occurrence is unpredictable. Presently, iDILI prediction is a challenge, and cell toxicity is observed only at concentrations that are much higher than the therapeutic doses in preclinical models. Applying a proprietary cell educating technology, we developed a person-dependent spheroid system that contains autologous educated immune cells that can detect iDILI risk at therapeutic concentrations. Integrating this system into a high-throughput screening platform will help pharmaceutical companies accurately detect the iDILI risk of new molecules de-risking drug development.

Droplet-based microfluidic platform for detecting agonistic peptides that are self-secreted by yeast expressing a G-protein-coupled receptor

BackgroundSingle-cell droplet microfluidics is an important platform for high-throughput analyses and screening because it provides an independent and compartmentalized microenvironment for reaction or cultivation by coencapsulating individual cells with various molecules in monodisperse microdroplets. In combination with microbial biosensors, this technology becomes a potent tool for the screening of mutant strains. In this study, we demonstrated that a genetically engineered yeast strain that can fluorescently sense agonist ligands via the heterologous expression of a human G-protein-coupled receptor (GPCR) and concurrently secrete candidate peptides is highly compatible with single-cell droplet microfluidic technology for the high-throughput screening of new agonistically active peptides.ResultsThe water-in-oil microdroplets were generated using a flow-focusing microfluidic chip to encapsulate engineered yeast cells coexpressing a human GPCR [i.e., angiotensin II receptor type 1 (AGTR1)] and a secretory agonistic peptide [i.e., angiotensin II (Ang II)]. The single yeast cells cultured in the droplets were then observed under a microscope and analyzed using image processing incorporating machine learning techniques. The AGTR1-mediated signal transduction elicited by the self-secreted Ang II peptide was successfully detected via the expression of a fluorescent reporter in single-cell yeast droplet cultures. The system could also distinguish Ang II analog peptides with different agonistic activities. Notably, we further demonstrated that the microenvironment of the single-cell droplet culture enabled the detection of rarely existing positive (Ang II-secreting) yeast cells in the model mixed cell library, whereas the conventional batch-culture environment using a shake flask failed to do so. Thus, our approach provided compartmentalized microculture environments, which can prevent the diffusion, dilution, and cross-contamination of peptides secreted from individual single yeast cells for the easy identification of GPCR agonists.ConclusionsWe established a droplet-based microfluidic platform that integrated an engineered yeast biosensor strain that concurrently expressed GPCR and self-secreted the agonistic peptides. This offers individually isolated microenvironments that allow the culture of single yeast cells secreting these peptides and gaging their signaling activities, for the high-throughput screening of agonistic peptides. Our platform base on yeast GPCR biosensors and droplet microfluidics will be widely applicable to metabolic engineering, environmental engineering, and drug discovery.

Abstract LB080: iOTarg screening platform reveals novel mechanisms of colorectal cancer evasion from antigen-specific tumor cell killing by T cells

Abstract While immune checkpoint therapies have revolutionized cancer treatment, their efficacy remains limited in colorectal cancer (CRC) and other malignancies. Tumors employ diverse strategies to evade immune-mediated destruction, hindering the success of immunotherapies. We introduce iOTarg, a robust high-throughput screening platform designed to uncover resistance pathways against T cell-mediated tumor killing within the tumor microenvironment. Focusing on CRC, we utilized iOTarg to dissect evasion mechanisms against antigen-specific T cell (TC) killing. In a representative CRC cell line co-culture system (SW480, HCT116 or COLO-678) with various TC sources, we gained key insights of tumor resistance towards killing. Survivin-specific TCs induce strong tumor lysis while tumor-infiltrating lymphocyte 412 (TIL412) represent a weaker basal killing representative of the situation in the tumor. Knockout of β₂-microglobulin abrogated TC-mediated killing, while c-FLIP knockout significantly enhanced tumor lysis. Intriguingly, PD-L1 blockade had no impact on TC activation or killing, underlining its lack of efficacy in CRC. Screening over 6000 druggable genes revealed several critical candidates, including anti-apoptotic BIRC family members (BIRC2, 3), apoptosis regulators (Bcl-xL, XIAP), TNF signaling regulators (TRAF2, MAP3K7), and genes recently described as sensitization mediators (B3GNT3, CHMP4B). Caspase-8 knockout prevented TC-mediated killing of CRC cells, confirming its crucial role in immune-mediated tumor cell clearance. Further validation in secondary screenings reinforced a subset of genes as strong regulators of tumor cell killing, uncovering an array of CRC resistance mechanisms. Our findings present a pioneering platform delineating resistance mechanisms against T cell-mediated colorectal tumor killing. We identify established and novel targets, offering prospects for novel therapeutics and expanding immune oncology treatment options. This platform holds promise for developing first-in-class therapies targeting the tumor microenvironment, potentially transforming CRC treatment paradigms. Citation Format: Tillmann Michels, Valentina Volpin, Carmen Amerhauser, Claudia Tschulik, Leonie Majunke, Aleksandra Weglarz, Kilian Baritz, Kritika Sudan, Szilvia Bak-Kiss, Alina Huth, Carolin Strobl, Adriana Turqueti-Neves, Nisit Khandelwal. iOTarg screening platform reveals novel mechanisms of colorectal cancer evasion from antigen-specific tumor cell killing by T cells [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 LB080.

High-Throughput Screening of PAM-Flexible Cas9 Variants for Expanded Genome Editing in the Silkworm (Bombyx mori).

Genome editing provides novel opportunities for the precise genome engineering of diverse organisms. Significant progress has been made in the development of genome-editing tools for Bombyx mori (B. mori) in recent years. Among these, CRISPR/Cas9, which is currently the most commonly used system in lepidopteran insects, recognizes NGG protospacer adjacent motif (PAM) sequences within the target locus. However, Cas9 lacks the ability to target all gene loci in B. mori, indicating the need for Cas9 variants with a larger editing range. In this study, we developed a high-throughput screening platform to validate Cas9 variants at all possible recognizable and editable PAM sites for target sequences in B. mori. This platform enabled us to identify PAM sites that can be recognized by both xCas9 3.7 and SpCas9-NG variants in B. mori and to assess their editing efficiency. Cas9 shows PAM sites every 13 base pairs in the genome, whereas xCas9 3.7 and SpCas9-NG have an average distance of 3.4 and 3.6 base pairs, respectively, between two specific targeting sites. Combining the two Cas9 variants could significantly expand the targeting range of the genome, accelerate research on the B. mori genome, and extend the high-throughput rapid screening platform to other insects, particularly those lacking suitable NGG PAM sequences.

Sensitive and label-free SPR biosensing platforms for high-throughput screening of plasma membrane receptors interactions with insulin-like targets of hypoglycaemic activity

Progress in medical sciences aims for tailored therapy of civilization diseases like diabetes. Preclinical screening of new medicines superior to insulin should include the verification of their affinity to the membrane receptors naturally stimulated by this hormone: insulin receptor isoforms A and B and insulin-like growth factor receptor. Considering that the affinity constants obtained using different experimental conditions are incomparable, it is essential to develop a robust and reliable method to analyze these interactions. The versatile SPR platform developed in this study enables the evaluation of the bioactivity of hypoglycaemic molecules. Thanks to the comprehensive characterization of miscellaneous aspects of the analytical platform, including the design of the SPR biosensor receptor layer, ensuring interaction specificity, as well as the quality control of the standards used (human insulin, HI; long-acting insulin analog: glargine, Gla), the feasibility of the method of equilibrium and kinetic constants determination for insulin-like targets was confirmed. SPR assays constructed in the direct format using IR-A, IR-B, and IGF1-R receptor proteins show high sensitivities and low detection limits towards insulin and glargine detection in the range of 18.3–53.3 nM with no signs of mass transport limitations. The improved analytical performance and stability of SPR biosensors favor the acquisition of good-quality kinetic data, while preservation of receptors activity after binding to long-chain carboxymethyldextran, combined with spontaneous regeneration, results in stability and long shelf life of the biosensor, which makes it useful for label-free insulin analogs biosensing and thus extensive screening in diabetic drugs discovery.

Microfluidics for High Throughput Screening of Biological Agents and Therapeutics

AbstractMicrofluidic devices have been widely used for gene analysis, immunoassays, organ-on-chip technology, cell engineering, and disease modeling. Their integration into high throughput screening (HTS) platforms has led to large-scale testing of various biological and chemical agents. This brief review discusses existing microfluidic HTS modalities, including the droplet mode, the perfusion mode, and the array-based platforms in active or passive designs, by exploring their fabrication methods and key design features. The main compartments are discussed, and the future trajectories of microfluidic HTS platforms, particularly in drug screening, are explained in detail. This review aims to serve as a guide for bioengineers and clinicians, offering insights to advance the development of the microfluidic toolboxes utilized in drug screening efforts.

Abstract 4548: Discovering novel ALK-lung carcinoma therapeutic strategies by identifying combinations with Alectinib from ALK-positive lung carcinoma cell lines

Abstract Background: The therapeutic landscape for chromosomally rearranged anaplastic lymphoma kinase (ALK) has focused on the development of Tyrosine-kinase inhibitors (TKI) that specifically target ALK activity. However, as patients progress on first- and second line TKIs, over 50% of resistance is due to non-mutational resistance via compensatory pathways, also known as ALK-non dominant resistance. Alterations in other drivers such as EGFR, KRAS, MET account for some of the resistance mechanisms. Thus, here we explore the therapeutic activity of drug combinations that pair an ALK inhibitor with a drug that targets a "second driver". We describe our high-throughput drug screening platform that combines Alectinib, a selective blocker of ALK, with a panel of hundreds of chemical compounds curated to be active against a diverse array of pathways involved in cellular functions dysregulated in cancer. In this work, we identified several synergistic combinations that further increased the sensitivity of five ALK-positive lung cancer cell lines (DFCI 032, NCI-H3122, NCI-H2228, SNU2535, SNU324) to Alectinib in comparison to single treatment with the final goal of targeting resistance, before it emerges. Methods: ALK-positive cancer cell sensitivity to different compounds was assessed by generating the IC50 curves in the presence and absence of Alectinib. Cells were characterized by bulk-RNAseq, bulk-DNA seq, Reverse-phase protein array, and Mass spectrometry to identify perturbed RNA pathways, DNA mutations, and proteome alterations. Results: In this study, we present for the first time, a group of compounds, such as Gilteritinib, Trametinib, Dinaciclib, WYE-125132, Cenisertib, SN-38 which exhibit the capacity to induce cytotoxic effects in ALK-positive lung cancer cells, when combined with Alectinib. Our findings demonstrate a novel sensitivity of ALK driven by non-conventional parallel signaling, apart from conventional targets previously described, such as phosphoinositol-3kinase (PI3K)/Akt, signal transducer and activator of transcription 3 (STAT3), and extracellular signal-regulated kinases (ERK). Conclusions: Through the integration of different multiomic approaches on five ALK-positive lung cancer cell lines, we have pinpointed a novel role of MAPK, CDK, and mTOR, pathways and their regulators, as a promising avenue for advancing treatment strategies for ALK-positive lung cancer. These findings, along with the identification of several other significant targetable elements illustrate a new approach towards the discovery of new drug combinations and targetable pathways to tackle ALK TKI resistance in ALK-positive patients before it emerges. We have previously generated Alectinib-resistant models and are in the process of screening to identify any resistant pathways that may align with those identified in the sensitive lines. Citation Format: Hamadi Madhi, Habib Serhan, Nathalie M. Vandecan, Zhaoping Qin, Albert Liu, Aaron Udager, Sofia D. Merajver, Matthew B. Soellner, Nathan Merrill. Discovering novel ALK-lung carcinoma therapeutic strategies by identifying combinations with Alectinib from ALK-positive lung carcinoma cell lines [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 4548.

Abstract 2553: Functional precision medicine as a valid tool in glioblastoma clinical practice

Abstract Background: Glioblastoma remains a formidable therapeutic challenge, necessitating innovative strategies such as functional precision medicine (FPM). FPM offers personalized treatment by utilizing high-throughput screening of 10-100 compounds on patient-derived tumor cells (PDCs), assessing both efficacy and relative sensitivity, with results reported to the molecular tumor board within 2 weeks. The focus of this study is the cross-laboratory validity of this approach in glioblastoma, an essential step towards confirming FPM's consistency and potential as a game-changing tool in personalized cancer treatment. Methods: Patient-derived tumor cells from glioblastoma cases were cultured for 3-7 days followed by automated high-throughput screening. The drug library contained ~80 compounds, including specific numbers of cytotoxic and targeted drugs. Drug response curves informed the calculation of sensitivity scores, which were compared to the AimedBio reference library to identify potentially effective drug candidates for a given patient. Additionally, corresponding tumor tissues were analyzed through panel sequencing of 50 glioma-related genes. Results: A total of >50 patients with glioblastoma were included, with subgroups from CBmed, Austria, and AimedBio, South Korea. PDC cultures were successful in over 90% of cases, and informative high-throughput drug screening results were obtained. Integration of drug response with genetic tumor profiles yielded testable treatment candidates. Additionally, transcontinental shipping and re-screening of PDCs yielded comparable results, affirming the robustness of the method. Conclusion: This study establishes and validates high-throughput drug screening platforms specifically tailored for functional precision medicine, utilizing glioblastoma as a model. The findings reveal a high degree of validity in the drug screening results, reinforced by the excellent performance of both technical and biological replicates. Such success not only lays a solid foundation for further academic and pharmaceutical collaborations but also opens the path for regulatory approval, bringing the platforms one step closer to clinical implementation. Funding: K1 COMET Competence Centre CBmed, funded by the Federal Ministry of Transport, Innovation and Technology; the Federal Ministry of Science, Research and Economy, Land Steiermark (Dep. 12, Business and Innovation), the Styrian Business Promotion Agency (SFG), and the Vienna Business Agency. COMET is executed by the Austrian Research Promotion Agency (FFG). Citation Format: Nam-Gu Her, Adelheid Woehrer, Gi Ju Lee, Seung Yoon Hyun, Jae Woo Ahn, Ji Soo Kang, Ryu I Hwang, Amin El-Heliebi, Barbara Prietl, Stefanie Stanzer, Thomas R. Pieber, Do-Hyun Nam. Functional precision medicine as a valid tool in glioblastoma clinical practice [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 2553.

Abstract 5579: MGAloss-of-function regulates mitochondrial oxidative metabolism-induced cancer stem cell phenotype during lymphomagenesis with therapeutic potential

Abstract As an antagonist of MYC oncogene, Max gene associated (MGA) gene are implicated in multiple cancers, proposing the potential role of tumor suppressor. Using multi-omics data of The Cancer Genome Atlas (TCGA, n=10,295) and lymphoma datasets from our group (n=702), we defined genetic features associated with MGA and its related MYC/MAX/MXD network members across 36 cancers. Pan-cancer, MGA mutation, predominant as nonsense or frameshift, was observed in 4.39% of all samples. MGA expression was significantly downregulated in mutated samples than that of wild type samples. Moreover, MGA mutation was positively associated with inferior clinical outcomes in diffuse large B-cell lymphoma (P=0.001 and P<0.001 in 2 independent datasets), peripheral T-cell lymphoma (P=0.044) and natural killer/T-cell lymphoma (P=0.012), encouraging in-depth study on the important role of MGA in lymphomagenesis. Conditional knockout of MGA in hematopoietic system using Vav-iCre (Mgafl/fl, Vav-iCre mice) led to reduction in the numbers of peripheral blood lymphocyte due to blockade differentiation and enhanced stemness as evidenced by flowcytometry and RNA-sequencing (RNA-seq). To investigate the molecular mechanism, we performed pulldown assay in NK-92 cells molecular silencing of MGA or scramble control, and subsequently subjected for mass spectrum analysis. A total of 97 proteins were identified to interaction with MGA and mainly enriched to nucleosome (26), cytosolic ribosome (16), immune response (13), and glycolysis (6). Molecular silencing of MGA, localizing in the nucleolus, interfered with ribosomal RNA processing, enhanced “onco-ribosome” biogenesis, and contributed to aberrant translational program characterized by mitochondrial oxidative metabolism. Changes in mitochondrial respiration and membrane potential are key to maintaining stemness in cancer cells. Considering that stemness is important for tumorigenesis, recurrence, metastasis, and drug resistance, we exploited high-throughput drug screening platform and found that targeted inhibition of Exportin 1 (XPO1) significantly suppressed the viability of tumor cells molecular silencing MGA, which were resistant to chemotherapeutic agents such as gemcitabine, etoposide, etc. Mechanically, molecular silencing MGA induced abnormalities of nucleocytoplasmic localization in 739 proteins involving in mitochondrial respiratory chain complex I assembly, oxidative phosphorylation, and mitochondrial translation, 50% (332/739) of which were rescued by treatment with XPO1 inhibitor Selinexor. In summary, MGA initiated lymphoma cell stemness via onco-ribosome mediated activation of mitochondrial oxidative metabolism. Selinexor targeted the aberrant nucleocytoplasmic localization and served as a promising therapeutic agent. Citation Format: Jie Xiong, Wen-Fang Wang, Wei-Li Zhao. MGAloss-of-function regulates mitochondrial oxidative metabolism-induced cancer stem cell phenotype during lymphomagenesis with therapeutic potential [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 5579.

Abstract 6049: Cell-based PROTAC screening for cancer drug discovery

Abstract Proteolysis-Targeting Chimeras (PROTACs) have emerged as a promising strategy for selectively degrading specific target proteins, thereby offering a novel approach to precision cancer therapy. Among the most notable oncogenes, KRAS with the G12C mutation is responsible for 45%-50% of KRAS mutations in non-small cell lung carcinomas. Additionally, BRD4, a well-studied member of the Bromo- and Extra-Terminal (BET) protein family, is implicated in various hematological and solid tumors. The implementation of cell-based screening for PROTACs targeting either KRAS(G12C) or BRD4 represents a highly valuable platform for advancing cancer drug discovery. We utilized the NanoBRETTM Ternary Complex Assay, NanoBiTTM Assay, and Western Blot assay to evaluate the efficacy of PROTACs. The NanoBRETTM Ternary Complex Assay revealed that KRAS G12C degrader-1 and LC-2 effectively degrade KRAS(G12C), while dBET6 and MZ-1 demonstrated the ability to degrade BRD4. Notably, the NanoBiTTM assay showed that LC-2 dose-dependently degrades KRAS(G12C) in HEK293 cells co-transfected with KRAS(G12C)-LgBiT and KRAS(G12C)-SmBiT. Moreover, BET6 exhibited a dose-dependent degradation of endogenous BRD4 in HepG2 cells, and LC-2 demonstrated the degradation of endogenous KRAS(G12C) in MiaPaCa2 cells. In summary, the development of a robust cell-based assay platform for high-throughput screening of PROTACs marks a substantial advancement in cancer drug discovery. This approach not only enables the identification of promising PROTACs but also holds the potential for more effective and targeted interventions in the ongoing battle against cancer. Citation Format: Yong Wan, Haiqing Ma, Jianghong Wu. Cell-based PROTAC screening for cancer 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 6049.

Abstract 4703: Automated 42 PDX 3D in vitro tumor models of the TME screen immuno-oncology and targeted compounds and biologics for antitumor effects and MOA

Abstract High throughput screening has been widely utilized for its efficiency in testing novel therapeutic agents. However, the conventional screening using 2D culture of cancer cell lines lacks the biological complexity of the tumor microenvironment or the immune compartment which limits their application in testing immune-oncology therapies. Particularly with the passing of the FDA Modernization Act 2.0, it is critical to create more biologically relevant 3D in vitro models that can be used to reduce, refine and ultimately replace preclinical animal models. Here we have developed a highly automated 3D high throughput screening platform comprised of 42 patient-derived xenograft models in coculture with fibroblasts in engineered extracellular matrix hydrogels that resemble tumor stromal microenvironment. The PDX models cover a diverse range of tumor and histological types including NSCLC, CRC, gastric, TNBC, RCC, bladder, ovarian, melanoma, pancreatic, and others. Moreover, PBMCs or other immune cells can be incorporated into the system for evaluating immuno-oncology drugs. The panel has been tested against chemotherapy drug cisplatin and the immunotherapy biologic, Solitomab, an EpCAM/CD3 bispecific antibody. The endpoint analyses for antitumor effects include the dose response of tumor size and tumor cell death percentage based on high content imaging analysis. In addition, immune cells and supernatant in the IO assay can be recovered from the wells and used for flow cytometry profiling and cytokine assays. In summary, the novel 42-PDX panel described here offers a unique and powerful tool for rapidly generating preclinical data and a better understanding the drug activity at the pharmacology stages, opening the door for faster and more human relevant drug discovery for cancer patients. Citation Format: Bin Xue, Christopher Harrod, Long Le, Julia Schüler, Kolin C. Hribar. Automated 42 PDX 3D in vitro tumor models of the TME screen immuno-oncology and targeted compounds and biologics for antitumor effects and MOA [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 4703.

Abstract 1657: Microfluidics-based screening platform identifies a novel therapeutic approach to targeting EML4-ALK driven cancers

Abstract To achieve proliferative dysregulation, a hallmark of cancer, tumor cells utilize a variety of mechanisms to maintain constitutive oncogenic signaling in the absence of extracellular cues. One such mechanism occurs in cells expressing the EML4-ALK fusion protein. This fusion, found in about 4% of non-small cell lung cancer (NSCLC), is a result of an inversion within chromosome 2, placing the 3’ end of the ALK (anaplastic lymphoma kinase) gene downstream of the 5’ end of the EML4 (echinoderm microtubule associated protein-like 4) gene. The resulting fusion protein contains the oligomerization domain and additional disordered sequence elements of EML4 upstream of a functional ALK kinase domain. EML4-ALK is a critical driver for these tumors, promoting aberrant ALK-dependent oncogenic signaling. While tumors harboring the EML4-ALK fusion initially respond to ALK tyrosine kinase inhibitors (TKIs), resistance remains a significant clinical challenge requiring new therapeutic approaches. Recently, it has come to be understood that rather than responding through extracellular proliferative cues, the EML4-ALK fusion protein elicits constitutive ALK signaling through the formation of cytoplasmic biomolecular condensates. These condensates are the result of phase separation and have been shown to be causal for disease phenotypes in cell and animal models driven by EML4-ALK, establishing condensate modulation as a novel means by which to treat TKI-resistant tumors. Here, we have developed a novel proprietary microfluidics-based high throughput screening platform (termed PhaseScanTM) to identify small-molecule modulators of EML4-ALK condensates. Using this technology, we identified compounds that disrupt EML4-ALK condensates in vitro and in cells through a novel mechanism, distinct from that of known ALK TKIs, providing utility in both TKI-resistant as well as TKI-naïve tumors. Further profiling of the mechanism of action (MoA) revealed specific modification within the disordered region of EML4, disruption of EML4 oligomerization, and defective ALK signaling in cancer cells. Thus, our PhaseScanTM methodology enabled the identification of novel, functionally active chemical matter that would have otherwise been challenging to identify utilizing any conventional hit identification methodology. Citation Format: Richard C. Centore, Matthew Watson, Julia Doh, Jerome Cattin, Cinzia Sgambato, Amal Alex, Janhavi Sawant, Prathima Radhakrishnan, Jasmine Cornish, Alex Howarth, Nagakumar Bharatham, William E. Arter, Seema Qamar, Kadi L. Saar, Douglas Williamson, Andrew Seeber, Neils Groenewegen, Magdalena Czekalska, Tadas Kartanas, Niklas Ermann, Ahmed Taher, Tuomas Knowles, Shilpi Arora. Microfluidics-based screening platform identifies a novel therapeutic approach to targeting EML4-ALK driven cancers [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 1657.

Abstract 3097: CETSA HT: Employing rapid high-throughput target engagement technology in primary screening of P53

Abstract The confirmation of target engagement for candidate drugs is a fundamental requisite in drug discovery. A significant portion of projects fail to reach the clinic due to lack of efficacy or failure to show lead candidates interacting with the intended target in a more complex environment. The utility of using the CETSA® (CEllular Thermal Shift Assay) technology to measure target engagement in intact cells is increasingly exploited in high throughput screening, where examples demonstrate low false positive rates in screens of up to 500K compounds. The p53 tumor suppressor protein, a crucial guardian against cancer, functions as a transcription factor that mediates cancer suppression by regulating genes involved in a wide range of cellular processes such as DNA repair, cell cycle and apoptosis. Unfortunately, frequent mutations in the TP53 gene hinder p53's tumor suppressor role in human cancers, thus designating it as a promising target for anticancer therapy. However, attempts to restore p53 function for therapeutic purposes have not yet advanced to clinical approval, highlighting the complexities in leveraging p53 for cancer treatment. Its undruggable nature, attributed to the absence of accessible deep pockets, lack of enzymatic activity, and its intracellular location, further complicates targeted interventions with both low and high molecular weight drugs. Here, we demonstrate the analysis of a high-throughput plate based CETSA® HT screen on the challenging target p53, performed using AlphaLISA® SureFire® Ultra™ technology and our newly developed high-throughput screening platform. Hits identified from this screen are privileged from the onset by binding to the target in a physiologically relevant cellular matrix and in a binding-mode agnostic way. This is in contrast to traditional screening methods targeting activity or in vitro interaction where cellular activity is addressed in later stages. This assay cascade highlights a rapid target-to-hit lead generation strategy placing the emphasis on finding chemical matter that interacts with endogenous target in living cells first, followed by analysis of hit material activity. The ‘shortcut’ to chemical matter active in living cells represents significant potential cost savings in comparison to assay development time on recombinantly produced proteins and/or modified cell lines for traditional HTS screening approaches that still rely on target engagement assessment downstream. Citation Format: Merve Kacal, Tomas Friman, Laurence Arnold, Victoria Brehmer, Daniel Martinez Molina, Stina Lundgren. CETSA HT: Employing rapid high-throughput target engagement technology in primary screening of P53 [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 3097.

Optimization of RNAi efficiency in PVD neuron of C. elegans.

PVD neuron of C. elegans has become an attractive model for the study of dendrite development and regeneration due to its elaborate and stereotype dendrite morphology. RNA interference (RNAi) by feeding E. coli expressing dsRNA has been the basis of several genome wide screens performed using C. elegans. However, the feeding method often fails when it comes to knocking down genes in nervous system. In order to optimize the RNAi conditions for PVD neuron, we fed the worm strains with E. coli HT115 bacteria expressing dsRNA against mec-3, hpo-30, and tiam-1, whose loss of function are known to show dendrite morphology defects in PVD neuron. We found that RNAi of these genes in the available sensitive backgrounds including the one expresses sid-1 under unc-119 promoter, although resulted in reduction of dendrite branching, the phenotypes were significantly modest compared to the respective loss of function mutants. In order to enhance RNAi in PVD neurons, we generated a strain that expressed sid-1 under the promoter mec-3, which exhibits strong expression in PVD. When Pmec-3::sid-1 is expressed in either nre-1(-)lin-15b(-) or lin-15b(-) backgrounds, the higher order branching phenotype after RNAi of mec-3, hpo-30, and tiam-1 was significantly enhanced as compared to the genetic background alone. Moreover, knockdown of genes playing role in dendrite regeneration in the nre-1(-)lin-15b(-), Pmec-3-sid-1[+] background resulted in significant reduction in dendrite regeneration following laser injury. The extent of dendrite regrowth due to the RNAi of aff-1 or ced-10 in our optimized strain was comparable to that of aff-1 and ced-10 mutants. Essentially, our strain expressing sid-1 in PVD neuron, provides an RNAi optimized platform for high throughput screening of genes involved in PVD development, maintenance and regeneration.