Cell Movement Research Articles

Fluorescent tracing unveils the impact of radiation therapy on the migration and plasticity of Tregs in the tumor microenvironment

Abstract Radiation therapy (RT) is a pivotal component of cancer treatment, yet its impact on the immune system is not fully understood. RT induces DNA damage in cancer cells, promoting cancer cell death and RT-induced immune responses with the potential to clear surviving cancer cells. However, RT can also recruit suppressive T regulatory cells (Tregs), that hinder adaptive immunity. Following RT-mediated death of tumor Tregs, we hypothesize that immature Tregs are recruited to the post-RT tumor and converted into suppressive phenotypes. Using the Kaede mouse model, we tracked photoconverted cells from either the tumor or TdLN after RT. In photoconverted tumors, Tregs in the TdLN constituted a higher proportion of photoconverted cells compared to non-Treg CD4 or CD8 T cells. When RT was applied to tumors, photoconverted Tregs and non-Treg CD4 T cells decreased in the TdLN. When photoconverting the TdLN we observed selective migration of Tregs to the tumor rather than to NdLN. Analyzing these newly arrived photoconverted Tregs in the tumor post-RT revealed increased expression of CD69, KLRG1, and Ly6C compared to non-photoconverted Tregs, indicating limited suppressive capacity. Ongoing studies are examining the impact of the irradiated tumor environment on newly-entered Treg plasticity. These findings unveil intricate dynamics between RT, Tregs, and the use of site-specific photoconversion for tracking immune cell movement over time.

A cellular tilting mechanism important for dynamic tissue shape changes and cell differentiation in Drosophila

Dynamic changes in three-dimensional cell shape are important for tissue form and function. In the developing Drosophila eye, photoreceptor differentiation requires the progression across the tissue of an epithelial fold known as the morphogenetic furrow. Morphogenetic furrow progression involves apical cell constriction and movement of apical cell edges. Here, we show that cells progressing through the morphogenetic furrow move their basal edges in opposite direction to their apical edges, resulting in a cellular tilting movement. We further demonstrate that cells generate, at their basal side, oriented, force-generating protrusions. Knockdown of the protein kinase Src42A or photoactivation of a dominant-negative form of the small GTPase Rac1 reduces protrusion formation. Impaired protrusion formation stalls basal cell movement and slows down morphogenetic furrow progression and photoreceptor differentiation. This work identifies a cellular tilting mechanism important for the generation of dynamic tissue shape changes and cell differentiation.

Systemic cellular migration: The forces driving the directed locomotion movement of cells.

Directional motility is an essential property of cells. Despite its enormous relevance in many fundamental physiological and pathological processes, how cells control their locomotion movements remains an unresolved question. Here, we have addressed the systemic processes driving the directed locomotion of cells. Specifically, we have performed an exhaustive study analyzing the trajectories of 700 individual cells belonging to three different species (Amoeba proteus, Metamoeba leningradensis, and Amoeba borokensis) in four different scenarios: in absence of stimuli, under an electric field (galvanotaxis), in a chemotactic gradient (chemotaxis), and under simultaneous galvanotactic and chemotactic stimuli. All movements were analyzed using advanced quantitative tools. The results show that the trajectories are mainly characterized by coherent integrative responses that operate at the global cellular scale. These systemic migratory movements depend on the cooperative nonlinear interaction of most, if not all, molecular components of cells.

A geometrical model of cell fate specification in the mouse blastocyst.

The lineage decision that generates the epiblast and primitive endoderm from the inner cell mass (ICM) is a paradigm for cell fate specification. Recent mathematics has formalized Waddington's landscape metaphor and proven that lineage decisions in detailed gene network models must conform to a small list of low-dimensional stereotypic changes called bifurcations. The most plausible bifurcation for the ICM is the so-called heteroclinic flip that we define and elaborate here. Our re-analysis of recent data suggests that there is sufficient cell movement in the ICM so the FGF signal, which drives the lineage decision, can be treated as spatially uniform. We thus extend the bifurcation model for a single cell to the entire ICM by means of a self-consistently defined time-dependent FGF signal. This model is consistent with available data and we propose additional dynamic experiments to test it further. This demonstrates that simplified, quantitative and intuitively transparent descriptions are possible when attention is shifted from specific genes to lineages. The flip bifurcation is a very plausible model for any situation where the embryo needs control over the relative proportions of two fates by a morphogen feedback.

The Evaluation of the N-cadherin Promoter's ability to Block EMT by Specific Expression of Diphtheria Toxin in EMT-induced A549 Cell Lines.

During epithelial to mesenchymal transition, the ability of cancer cells to transform and metastasize is primarily determined by N-cadherin-mediated migration and invasion. This study aimed to evaluate whether the N-cadherin promoter can induce diphtheria toxin expression as a suicide gene in epithelial to mesenchymal transition (EMT)-induced cancer cells and whether this can be used as potential gene therapy. To investigate the expression of diphtheria toxin under the N-cadherin promoter, the promoter was synthesized, and was cloned upstream of diphtheria toxin in a pGL3-Basic vector. The A-549 cells was transfected by electroporation. After induction of EMT by TGF-β and hypoxia treatment, the relative expression of diphtheria toxin, mesenchymal genes such as N-cadherin and Vimentin, and epithelial genes such as E-cadherin and β-catenin were measured by real-time PCR. MTT assay was also performed to measure cytotoxicity. Finally, cell motility was assessed by the Scratch test. After induction of EMT in transfected cells, the expression of mesenchymal markers such as Vimentin and N-cadherin significantly decreased, and the expression of β-catenin increased. In addition, the MTT assay showed promising toxicity results after induction of EMT with TGF-β in transfected cells, but toxicity was less effective in hypoxia. The scratch test results also showed that cell movement was successfully prevented in EMT-transfected cells and thus confirmed EMT occlusion. Our findings indicate that by using structures containing diphtheria toxin downstream of a specific EMT promoter such as the N-cadherin promoter, the introduced toxin can kill specifically and block EMT in cancer cells.

Hawthorn Proanthocyanidin Extract Inhibits Colorectal Carcinoma Metastasis by Targeting the Epithelial-Mesenchymal Transition Process and Wnt/β-Catenin Signaling Pathway.

Colorectal carcinoma (CRC) is a major global health concern, with cancer metastasis being the main cause of patient mortality, and current CRC treatments are challenged by drug resistance. Although natural compounds, especially in foods like hawthorn proanthocyanidin extract (HPOE), have good anticancer activity, their effects on CRC metastasis remain unknown. Therefore, our objective was to investigate the impact and potential mechanisms of HPOE on the movement and infiltration of cells in the HCT116 CRC cells. Firstly, scratch-healing experiments confirmed the anti-migratory and anti-invasive capabilities of HPOE. Then, network pharmacology identified 16 possible targets, including MMP-9. Subsequently, RT-qPCR and Western blotting experiments confirmed that HPOE downregulated epithelial-mesenchymal transition-related factors (N-cadherin and MMP-9) and inhibited Wnt/β-catenin pathway activation. Finally, these results were experimentally validated using the Wnt pathway activator Licl and inhibitor XAV939. It was confirmed that HPOE had a certain inhibitory effect on the activation of the Wnt signaling pathway caused by the activator Licl and could enhance the inhibitory effect of the inhibitor XAV939. Our findings provide a basis for developing functional foods or dietary supplements, especially positioning HPOE as a functional food raw material for adjuvant treatment of CRC, given its ability to inhibit metastasis through the Wnt/β-catenin pathway.

Chemotaxis in heterogeneous environments: A multi-agent model of decentralized gathering past obstacles

Chemotaxis, cell migration in response to chemical gradients, is known to promote self-organization of microbiological populations. However, the modeling of chemotaxis in heterogeneous environments is still limited. This study analyzes a decentralized gathering process in environments with physical as well as chemical barriers, using a multi-agent model for Disctyostelium discoideum colonies. Employing a topology-independent metric to quantify the system evolution, we study dynamical features emerging from complex social interactions. The results show that obstacles may hamper the gathering process by altering the flux of chemical signals among amoebas, acting as local topological perturbations. We also find that a minimal set of agent’s rules for robust gathering does not require explicit mechanisms for obstacle sensing and avoidance; moreover, random cell movements concur in preventing multiple stable clusters and improve the gathering efficacy. Hence, we speculate that chemotactic cells can avoid obstacles without needing specialized mechanisms: tradeoffs of social interactions and individual fluctuations are sufficient to guarantee the aggregation of the whole colony past numerous obstacles.

Biointerfaces with ultrathin patterns for directional control of cell migration

In the context of wound healing and tissue regeneration, precise control of cell migration direction is deemed crucial. To address this challenge, polydimethylsiloxane (PDMS) platforms with patterned 10 nm thick TiOx in arrowhead shape were designed and fabricated. Remarkably, without tall sidewall constraints, MC3T3-E1 cells seeded on these platforms were constrained to migrate along the tips of the arrowheads, as the cells were guided by the asymmetrical arrowhead tips which provided large contact areas. To the best of our knowledge, this is the first study demonstrating the use of thin TiOx arrowhead pattern in combination with a cell-repellent PDMS surface to provide guided cell migration unidirectionally without tall sidewall constraints. Additionally, high-resolution fluorescence imaging revealed that the asymmetrical distribution of focal adhesions, triggered by the patterned TiOx arrowheads with arm lengths of 10, 20, and 35 μm, promoted cell adhesion and protrusion along the arrowhead tip direction, resulting in unidirectional cell migration. These findings have important implications for the design of biointerfaces with ultrathin patterns to precisely control cell migration. Furthermore, microelectrodes were integrated with the patterned TiOx arrowheads to enable dynamic monitoring of cell migration using impedance measurement. This microfluidic device integrated with thin layer of guiding pattern and microelectrodes allows simultaneous control of directional cell migration and characterization of the cell movement of individual MC3T3-E1 cells, offering great potential for the development of biosensors for single-cell monitoring.

ETS1, a Target Gene of the EWSR1::FLI1 Fusion Oncoprotein, Regulates the Expression of the Focal Adhesion Protein TENSIN3.

The mechanistic basis for the metastasis of Ewing sarcomas remains poorly understood, as these tumors harbor few mutations beyond the chromosomal translocation that initiates the disease. Instead, the epigenome of Ewing sarcoma cells reflects the regulatory state of genes associated with the DNA-binding activity of the fusion oncoproteins EWSR1::FLI1 or EWSR1::ERG. In this study, we examined the EWSR1::FLI1/ERG's repression of transcription factor genes, concentrating on those that exhibit a broader range of expression in tumors than in Ewing sarcoma cell lines. Focusing on one of these target genes, ETS1, we detected EWSR1::FLI1 binding and an H3K27me3-repressive mark at this locus. Depletion of EWSR1::FLI1 results in ETS1's binding of promoter regions, substantially altering the transcriptome of Ewing sarcoma cells, including the upregulation of the gene encoding TENSIN3 (TNS3), a focal adhesion protein. Ewing sarcoma cell lines expressing ETS1 (CRISPRa) exhibited increased TNS3 expression and enhanced movement compared with control cells. Visualization of control Ewing sarcoma cells showed a distributed vinculin signal and a network-like organization of F-actin; in contrast, ETS1-activated Ewing sarcoma cells showed an accumulation of vinculin and F-actin toward the plasma membrane. Interestingly, the phenotype of ETS1-activated Ewing sarcoma cell lines depleted of TNS3 resembled the phenotype of the control cells. Critically, these findings have clinical relevance as TNS3 expression in Ewing sarcoma tumors positively correlates with that of ETS1. Implications: ETS1's transcriptional regulation of the gene encoding the focal adhesion protein TENSIN3 in Ewing sarcoma cells promotes cell movement, a critical step in the evolution of metastasis.

Regulation of cellular responses to X-ray irradiation through the activation of lysophosphatidic acid (LPA) receptor-3 (LPA3) and LPA2 in osteosarcoma cells

Lysophosphatidic acid (LPA) binds to its specific G protein-coupled LPA receptors (LPA1 to LPA6), resulting in the activation of various cellular functions. LPA receptor-mediated signaling facilitates tumor progression in human malignancies. In the present study, we investigated whether LPA receptor-mediated signaling contributes to cellular responses to X-ray irradiation in osteosarcoma MG-63 cells. After X-ray irradiation (2, 4 and 8 Gy), LPAR2 and LPAR3 expression levels in MG-63 cells were significantly elevated in a dose-dependent manner, but no change of LPAR1 expression level was observed. The cell growth activities of MG-63 cells irradiated with X-rays (2, 4 and 8 Gy) were reduced by LPA. Conversely, LPA3 agonist (2 S)-OMPT enhanced the cell growth activities of X-ray irradiated MG-63 cells. The cell movement of MG-63 cells exposed to X-ray irradiation (8 Gy) was inhibited by (2 S)OMPT. In cell survival assay, (2 S)-OMPT suppressed the cell survival to cisplatin (CDDP) of MG-63 cells irradiated with X-rays (8 Gy). The cell survival to CDDP of X-ray irradiated cells was elevated by LPA3 knockdown. Moreover, we evaluated the effects of LPA2 on the cell survival to CDDP of MG-63 cells exposed to X-ray irradiation (8 Gy). The cell survival to CDDP of X-ray irradiated cells was increased by LPA2 agonist GRI-977143 and reduced by LPA2 knockdown. These results suggest that LPA receptor-signaling participates in the modulation of cellular functions induced by X-ray irradiation in osteosarcoma cells.

Tumor‐On‐A‐Chip Model Incorporating Human‐Based Hydrogels for Easy Assessment of Metastatic Tumor Inter‐Heterogeneity

AbstractThe coordinated migration of invasive tumor cells is a complex and dynamic mechanism driven by diverse cellular and molecular events. Unfortunately, the inherent heterogeneity within tumors raises multiple challenges in deciphering key biomarkers and novel therapeutic approaches to prevent tumor metastasis. Here, a microengineered tumor‐on‐a‐chip system incorporating human platelet lysate hydrogels is proposed to recreate the early metastatic process of tumor invasion and drug response. By co‐culturing human bone marrow mesenchymal stem cells with two tumor cell lines with distinct metastatic capability, the developed model can emulate the 3D tumor microarchitecture and inter‐heterogeneity regarding its intrinsic metastatic ability. The recreated microenvironment supports tumor and stromal cell movement, evidencing the synergistic tumor‐stromal cell and cell‐extracellular matrix interactions of an invading tumor. Through gene and protein expression analysis and exometabolomic profiling, this tumor‐on‐a‐chip platform provides evidence for the role of a dynamic environment as a key regulator of tumor metastatic ability. Additionally, the effect of doxorubicin treatment on tumor invasiveness and biomarker profile highlights the suitability of the established models for therapy assessment. Overall, this study presents a tumor‐on‐a‐chip model useful to pursue mechanistic studies on early metastatic events in a fully human‐derived microenvironment, while contributing with fundamental insights into biomolecular profiling.

Eulerian- lagrangian dense discrete phase model (DDPM) of stenotic LAD coronary arteries in comparison with single phase modeling

In computational fluid dynamic studies related to blood flow, investigating the behavior of blood particles is crucial, especially red blood cells as they constitute a significant proportion of blood particles. Additionally, studying red blood cell movements is necessary, especially in stenotic artery geometries. A new multiphase scheme was utilized to demonstrate the effect of red blood cells on hemodynamics in complex coronary arteries and investigate the consequence of their motion. To investigate the effect of red blood cell movement on flow, the dense discrete phase model (DDPM) was used. This simulation was performed in 3D coronary arteries with different degrees of stenosis, utilizing blood pressure as inlet and outlet boundary conditions while assuming the arterial wall to be rigid. The model prediction shows good agreement with experimental data. Velocity values were comparable in both single-phase and two-phase flow simulations, but the shear stress in two-phase modeling had higher values. In the two-phase DDPM modeling, the recirculation areas indicated a higher probability of atherosclerosis plaque re-formation in the pre-stenosis area compared to the stenosis and post-stenosis areas. The DDPM model was found to be more effective in obtaining shear stress values in the artery. Additionally, this model provides good results compared to the single-phase model in investigating the movement of particles along the artery as well as recirculation areas that lead to the deposition of particles.

Extracellular vesicles derived from human foreskin cells (hFS-Exo) accelerate cell migration and angiogenesis through MAPK pathway: an in vitro study.

Wound healing is one of the important processes in the body. Attempts to create new drugs are of interest due to the side effects of natural and chemical wound healing compounds. To overcome this obstacle, stem cells have been used as healing agents. However, both difficulties in collection and risks such as rejection and teratoma in the recipient body have limited the use of stem cells, directly. Since the potential content of the stem cells can be transferred to the recipient cells by vesicles, small extracellular vesicles have recently become prominent agents. The wound-healing effect of extracellular vesicles derived from foreskin cells was investigated in both keratinocyte and endothelial cells. Migration assay, RT-PCR, Col1a1 ELISA and Western Blot experiments were utilized to reveal healing effect of EVs and its possible molecular pathways. EV-treated groups exhibited more proliferative, invasive, and migrative characteristics. When comparing to the control group, new vessel formation was induced in EV groups. An increase in gene levels of growth factors related to wound healing and change in the mitogen-activated protein kinase (MAPK) signaling pathway proteins in EV-treated groups were determined. Possible molecular mechanisms underlying cell movements were associated with the MAPK pathway. It was found that human foreskin cell EVs (hFS-Exo) may have a potential to heal wounds in a short period of time by triggering the MAPK pathway. hFS-Exo could be a new promising wound healing agent in the future.

SC-Track: a robust cell-tracking algorithm for generating accurate single-cell lineages from diverse cell segmentations.

Computational analysis of fluorescent timelapse microscopy images at the single-cell level is a powerful approach to study cellular changes that dictate important cell fate decisions. Core to this approach is the need to generate reliable cell segmentations and classifications necessary for accurate quantitative analysis. Deep learning-based convolutional neural networks (CNNs) have emerged as a promising solution to these challenges. However, current CNNs are prone to produce noisy cell segmentations and classifications, which is a significant barrier to constructing accurate single-cell lineages. To address this, we developed a novel algorithm called Single Cell Track (SC-Track), which employs a hierarchical probabilistic cache cascade model based on biological observations of cell division and movement dynamics. Our results show that SC-Track performs better than a panel of publicly available cell trackers on a diverse set of cell segmentation types. This cell-tracking performance was achieved without any parameter adjustments, making SC-Track an excellent generalized algorithm that can maintain robust cell-tracking performance in varying cell segmentation qualities, cell morphological appearances and imaging conditions. Furthermore, SC-Track is equipped with a cell class correction function to improve the accuracy of cell classifications in multiclass cell segmentation time series. These features together make SC-Track a robust cell-tracking algorithm that works well with noisy cell instance segmentation and classification predictions from CNNs to generate accurate single-cell lineages and classifications.

Exploring the use of 3D radar measurements in predicting the evolution of single-core convective cells

Object-based radar rainfall nowcasting is a widely used technique for convective storm prediction. Currently, most existing object-based nowcasting methods primarily focus on predicting cell movements, neglecting the temporal evolution of cell properties such as size, shape, and intensity. Incorporating this evolution is critical for improving predictability in convective storms. While previous studies have used three-dimensional (3D) radar observations to capture vertical changes during convective cell formation, these efforts often analyse or reconstruct specific convective events. Integrating 3D radar information into operational object-based radar rainfall nowcasting remains an open challenge. This research addresses this challenge using deep learning (DL) techniques. More specifically, a DL-based prediction model is developed, which uses 2D and 3D cells' properties retrieved from 3D radar reflectivity data at the current time and across the past 15 min to predict the evolution of these properties over the next 15 min. This model could eventually be integrated into existing object-based nowcasting models. A total of 4708 cell lifecycles, extracted from high-resolution (5-min, 1-km, 24 levels at 0.5 km intervals) 3D radar data across the UK, are used to train the model, and a total of 1177 lifecycles are used for testing. The proposed model is shown to predict the evolution of single-core convective cells effectively, including changes in 2D projected geometry and mean 2D and 3D reflectivity. In particular, by incorporating information on the vertical evolution of convective cores, the prediction errors of mean reflectivity (in both 2D and 3D) can be reduced by approximately 50% at 15-min forecast lead time, as compared to a persistence forecast. Keywords: radar, tracking, convective cell, nowcasting, 3D, deep learning, lstm.

Unraveling Endothelial Cell Migration: Insights into Fundamental Forces, Inflammation, Biomaterial Applications, and Tissue Regeneration Strategies.

Cell migration is vital for many fundamental biological processes and human pathologies throughout our life. Dynamic molecular changes in the tissue microenvironment determine modifications of cell movement, which can be reflected either individually or collectively. Endothelial cell (EC) migratory adaptation occurs during several events and phenomena, such as endothelial injury, vasculogenesis, and angiogenesis, under both normal and highly inflammatory conditions. Several advantageous processes can be supported by biomaterials. Endothelial cells are used in combination with various types of biomaterials to design scaffolds promoting the formation of mature blood vessels within tissue engineered structures. Appropriate selection, in terms of scaffolding properties, can promote desirable cell behavior to varying degrees. An increasing amount of research could lead to the creation of the perfect biomaterial for regenerative medicine applications. In this review, we summarize the state of knowledge regarding the possible systems by which inflammation may influence endothelial cell migration. We also describe the fundamental forces governing cell motility with a specific focus on ECs. Additionally, we discuss the biomaterials used for EC culture, which serve to enhance the proliferative, proangiogenic, and promigratory potential of cells. Moreover, we introduce the mechanisms of cell movement and highlight the significance of understanding these mechanisms in the context of designing scaffolds that promote tissue regeneration.

Abstract 42: Tunneling CARs: Gene modifications to enhance CAR-T infiltration into solid tumors

Abstract Background: CAR-T therapy has been largely ineffective in solid tumors because the dense, rigid, extracellular matrices (ECMs) and basement membranes (BMs) that encapsulate these tumors exclude T cells. Tumor-specific ECMs and BMs, made of type I and type IV collagen respectively, are heavily cross-linked and characterized by small pores. T cell infiltration into tumors relies upon the enzymatic degradation of these matrix fibers, and adhesion molecule-mediated movement. Gene expression analysis of tumor infiltrating leukocytes from patient samples showed that MMP-7, an enzyme that degrades type IV collagen, and osteopontin (OPN), a molecule that interacts with adhesion molecules to mediate movement, were highly upregulated in infiltrating cells compared to those that were tumor adjacent, suggesting they may be important in navigating tumor-specific environments. We hypothesized that overexpressing MMP-7 and/or OPN in CAR-T cells will enhance their infiltration into solid tumors. Methods: We overexpressed MMP-7 and OPN in second-generation CAR-Ts (GD2-28Z and HER2-28Z) and evaluated their infiltration in vitro using Halo invasion assays. T cell movement out of type IV collagen and into tumor droplets, composed of tumor targets polymerized in type I collagen, was visualized over time to characterize T cell movement through the tumor-specific BM and ECM, respectively. The expansion, phenotype, and cytotoxicity of OPN and MMP-7-modified GD2-28Z CAR-Ts was compared to unmodified GD2 CAR-Ts by counting, flow cytometry and chromium release, respectively. We then used a xenograft model of neuroblastoma to determine if increases in GD2 CAR-T infiltration led to reduced tumor burden. Results: In vitro, MMP-7 overexpression increased GD2-28Z (2.05-fold, p<0.0001) and HER2-28Z (3.16-fold, p<0.0001) CAR-T infiltration, and OPN overexpression increased GD2-28Z (1.20-fold, p=0.0496) and HER2-28Z (1.49-fold, p=0.002) CAR-T infiltration. In vivo, 52 days after CAR-T infusions, mice treated with OPN-modified GD2-28Z CAR-Ts had reduced tumor burden (0.206 cm, ±0.21) compared to GD2-28Z CAR-Ts (0.903 cm, ±0.33, p=0.0449). Conclusions: The overexpression of MMP-7 or OPN in second-generation CAR-Ts enhances CAR-T infiltration in vitro, and the expression of these genes does not impair CAR-T expansion, phenotype or cytotoxicity. The overexpression of OPN in GD2-28Z CAR-T enhances tumor clearance in a xenograft model of neuroblastoma, and may increase overall survival. Citation Format: Stacey N. Van Pelt, Bilal Omer, Lindsay Talbot, Cliona Rooney, Rohan Fernandes, Candise Tat, Mark White. Tunneling CARs: Gene modifications to enhance CAR-T infiltration into solid tumors [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 42.

Abstract 4224: The application of sophisticated image analysis to a T cell killing assay in 3D deciphers the dynamics of the different components of the tumor microenvironment

Abstract We developed an in vitro protocol to generate tumor-specific cytotoxic lymphocytes (CTL) by priming T cells from healthy donors on HER2+ breast cancer cell line SKBR-3. Subsequently, these primed CTLs were tested in a 3D immune cell killing assays in a life cell imaging device. An image analysis workflow was applied to understand the T cell movement in spatial relation to the tumor and the kinetic of tumor cell killing. The activity of the CTLs was compared with non-activated CD8+T cells, staurosporin and CD8+ T cells, unspecifically activated by αCD2/αCD3/αCD28 beads. The tumor cells were expressing mKate whereas the T cells were label-free. By analyzing a combination of different masks, we could computationally measure tumor spheroid characteristics and dynamic attributes such as changes in shape, percent of cells expressing red fluorescentce, and relative average distance of T cells from the spheroid in each timelapse assay. This process was applied at each frame to determine the average T cell distance from its corresponding spheroid center and subsequently calculate the average T cell flux over the course of each assay by linking data between image frames. Additional measurements allowed for the quantification of tumor debris accumulation over time both relative to the primary tumor mass and in absolute terms. Our analyses revealed that bead-activated T cells approached the tumor spheroid with the highest speed and infiltrated the spheroid homogeneously. In contrast the CTLs approached the spheroid slower and started tumor cell killing from the rim of the spheroid towards the center. The reduction of spheroid area over time displayed a very similar kinetic when co-cultured with CTL or bead-activated T cells. At the end of the experiment the CTLs induced a more pronounced shrinkage of spheroid size. Interestingly the size of the spheroid and the red fluorescence intensity were not necessarily aligned. The positive control Staurosporin induced a fast reduction of the mKate signal, whereas the spheroid area did not change over time. In summary, the bead-activated T cell approached the spheroid fast, infiltrated the complete area and induced tumor cell killing homogenously across the tumor area. The CTL approached the spheroids slower but started killing earlier from the outside towards the center of the spheroid. The observed differences in infiltration and killing characteristics of the investigated T cell types lead to a better understanding of T cell biology in the context of the tumor biology, which can be translated into applications during dug development. Taken together, with the applied image analysis algorithm we were able to deconvolute the biological processes in the assay in much more detail. The additional read-outs increase the translational value of the assay tremendously in the context of drug development as well as precision medicine. Citation Format: Ryan Kerwin, Ina Rohleff, Martin Blanchard, Kanstantsin Lashuk, Bryan Walker, Julia B. Schueler. The application of sophisticated image analysis to a T cell killing assay in 3D deciphers the dynamics of the different components of the tumor microenvironment [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 4224.

Abstract 5226: A 3D ECM embedded tumoroid platform for testing antibody drugs and engineered TCRs for immune oncology

Abstract We developed a screening platform for immune oncology using an assay based on automated image guided injection of tumoroids in wells of multi-well plates preloaded with a collagen-rich ECM. The identical x-y-z position and size of the ECM-embedded tumoroids in each well facilitates automated real time confocal microscopy and quantitative image analysis algorithms. The model is used to generate quantitative data for T cell recruitment to tumoroids and killing of tumoroids by T cells. We have applied this to screening a panel of CD3:Her2 bispecific antibodies (BsAb) binding with different affinities to CD3 or Her2 or displaying high affinity interactions with different epitopes on Her2. Exposure to fresh, non-activated peripheral blood mononuclear cell (PBMC) derived T cells shows an initial phase of random T cell movement throughout the ECM followed by a BsAb-dependent phase of active T cell recruitment to tumoroids (day 2-4) and a subsequent phase of tumoroid killing (day 4-6). We show that the wave of T cell recruitment following initial T cell-tumoroid contact involves chemotactic signaling. Decreased affinity at the Her2 or CD3 arm can be compensated for by increasing BsAb concentrations. However, we detect major differences in efficacy for different high affinity epitopes. I.e., of two BsAbs interacting with high affinity with distinct Her2 epitopes and each causing effective tumor cell killing in 2D co-culture, only one was able to trigger a wave of T cell recruitment and subsequent tumoroid killing in 3D. We have applied the same setup to testing the efficacy of T cells expressing engineered TCRs aimed at application in adoptive T-cell therapy. Kinetics of experiments using these activated engineered T cells are considerably shorter (24 hours instead of ~6 days) but show a similar pattern of T cell recruitment and subsequent tumoroid killing. We demonstrate successful generation of quantitative data for T cell recruitment and tumoroid killing for engineered T cells targeting tumor antigens expressed on TNBC and uveal melanoma tumoroids. Citation Format: Erik H. J. Danen. A 3D ECM embedded tumoroid platform for testing antibody drugs and engineered TCRs for immune oncology [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 5226.

Abstract 4275: Targeting tumor extracellular matrix to improve response to therapy

Abstract Introduction. Building on our previous findings that tumor extracellular matrix (ECM) composition associates with immune cell phenotype (Pearce et al, Cancer Disco, 2018), and ECM can directly educate tumor-associated immune phenotypes (Puttock et al, Nat Commun, 2023), we present here the identification of specific ECM components that associate with tumor immune phenotype, and discuss our approach to target these components as a way to improve anti-tumor immunity and immunotherapy response. Methods. We use a combination of transcriptomics, proteomics, glycomics, and spatial tissue analysis to identify correlations between ECM composition and the immune landscape in breast and ovarian cancers. Correlations are tested within a decellularized tumor model made from patient samples which allow immune cell movement, interaction with ECM, and tumor killing to be measured in real-time. Results. Through our analysis pipeline we have identified a specific ECM molecule that appears to regulate the spatial location of tumor infiltrating CD8 T-cell populations via post-translational modifications that are present on the molecule. Deletion of this molecule in injectable orthotopic murine models dramatically alters the immune landscape within the tumor. Within an in vitro decellularized tumor tissue model the in situ deletion of the ECM molecule drives tumors into an inflamed phenotype which is more responsive to cell-based cancer therapy. Conclusions. Tumor ECM can direct immunity in two ways. These are educating or stimulating immune cells to develop specific phenotypes that tend to be immunosuppressive, and secondly directing the movement of cells within the tissue. These immunosupressive effects can be overcome through small modifications to ECM structure, indicating therapeutics that make subtle changes to ECM composition may be used in combination with current cell-based therapies to improve tumor response. Citation Format: Oliver Matthew Pearce. Targeting tumor extracellular matrix to improve response to 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 4275.