Collective Invasion Research Articles

Expression of Markers Associated with Epithelial-Mesenchymal Transition and Extracellular Matrix Degradation in Human Uveal Melanoma.

The expression of markers associated with epithelial-mesenchymal transition (EMT) and extracellular matrix degradation in human uveal melanoma tissue samples and postequatorial zone of the choroid was assessed by immunohistochemical staining. Increased expression of EMT markers E-cadherin and vimentin was observed in the tumor. The ratio of MMP-9 to TIMP-1 proteins related to the extracellular matrix degradation was higher in the tumor. These results may indicate activation of EMT-like process in the uveal melanoma cells and degradation of the extracellular matrix, which can contribute to the development of collective invasion in uveal melanoma.

Three-dimensional computer vision for exploring heterogeneity in collective Cancer Invasion

Collective cancer invasion exhibits a hierarchical structure characterized by leader-follower organization. Dynamic gene expression analysis of invading cells using nanobiosensors within 3D microenvironments provides a valuable means to explore the regulation of leader cells during collective cancer invasion. Nonetheless, the analysis of time-lapse, multimodal images that capture the intricacies of complex invading structures and gene expression profiles in 3D tumor spheroids poses a significant technological challenge. Here, we present a computer vision-based workflow that streamlines the identification of protrusions and detached clusters from 3D tumor spheroids. This methodology not only discerns invading multicellular structures and quantifies their physical properties, but also captures gene expression patterns associated with these invasive mechanisms using an intracellular nanobiosensor. Consequently, it empowers a systematic exploration of the genotypic and phenotypic heterogeneities inherent in cancer invasion. To illustrate the effectiveness of this approach, we applied it to the analysis of a long noncoding RNA, MALAT1, in tumor spheroids derived from patients with muscle-invasive bladder cancer. Our investigation delved into the heterogeneity of cancer invasion and its relationship to MALAT1 expression. Overall, this workflow represents a valuable tool for gaining insights into the complexities of cancer invasion.

Intra-tumoral YAP and TAZ heterogeneity drives collective NSCLC invasion that is targeted by SUMOylation inhibitor TAK-981

Intra-tumoral YAP and TAZ heterogeneity drives collective NSCLC invasion that is targeted by SUMOylation inhibitor TAK-981

Leader Cells: Invade and Evade-The Frontline of Cancer Progression.

Metastasis is the leading cause of cancer-related mortality; however, a complete understanding of the molecular programs driving the metastatic cascade is lacking. Metastasis is dependent on collective invasion-a developmental process exploited by many epithelial cancers to establish secondary tumours and promote widespread disease. The key drivers of collective invasion are "Leader Cells", a functionally distinct subpopulation of cells that direct migration, cellular contractility, and lead trailing or follower cells. While a significant body of research has focused on leader cell biology in the traditional context of collective invasion, the influence of metastasis-promoting leader cells is an emerging area of study. This review provides insights into the expanded role of leader cells, detailing emerging evidence on the hybrid epithelial-mesenchymal transition (EMT) state and the phenotypical plasticity exhibited by leader cells. Additionally, we explore the role of leader cells in chemotherapeutic resistance and immune evasion, highlighting their potential as effective and diverse targets for novel cancer therapies.

Modelling collective invasion with reaction–diffusion equations: When does domain curvature matter?

Real-world cellular invasion processes often take place in curved geometries. Such problems are frequently simplified in models to neglect the curved geometry in favour of computational simplicity, yet doing so risks inaccuracies in any model-based predictions. To quantify the conditions under which neglecting a curved geometry is justifiable, we explore the dynamics of a system of reaction–diffusion equations (RDEs) on a two-dimensional annular geometry analytically. Defining ϵ as the ratio of the annulus thickness δ and radius r0 we derive, through an asymptotic expansion, the conditions under which it is appropriate to ignore the domain curvature for a general system of reaction–diffusion equations. To highlight the consequences of these results, we simulate solutions to the Fisher–Kolmogorov–Petrovsky–Piskunov (Fisher–KPP) model, a paradigm nonlinear RDE typically used to model spatial invasion, on an annular geometry. Thus, we quantify the size of the deviation from an analogous simulation on the rectangle, and how this deviation changes across the width of the annulus. We further characterise the nature of the solutions through numerical simulations for different values of r0 and δ. Our results provide insight into when it is appropriate to neglect the domain curvature in studying travelling wave behaviour in RDEs.

The highly metastatic 4T1 breast carcinoma model possesses features of a hybrid epithelial/mesenchymal phenotype.

Epithelial-mesenchymal transitions (EMTs) are thought to promote metastasis via downregulation of E-cadherin (also known as Cdh1) and upregulation of mesenchymal markers such as N-cadherin (Cdh2) and vimentin (Vim). Contrary to this, E-cadherin is retained in many invasive carcinomas and promotes collective cell invasion. To investigate how E-cadherin regulates metastasis, we examined the highly metastatic, E-cadherin-positive murine 4T1 breast cancer model, together with the less metastatic, 4T1-related cell lines 4T07, 168FARN and 67NR. We found that 4T1 cells display a hybrid epithelial/mesenchymal phenotype with co-expression of epithelial and mesenchymal markers, whereas 4T07, 168FARN, and 67NR cells display progressively more mesenchymal phenotypes in vitro that relate inversely to their metastatic capacity in vivo. Using RNA interference and constitutive expression, we demonstrate that the expression level of E-cadherin does not determine 4T1 or 4T07 cell metastatic capacity in mice. Mechanistically, 4T1 cells possess highly dynamic, unstable cell-cell junctions and can undergo collective invasion without E-cadherin downregulation. However, 4T1 orthotopic tumors in vivo also contain subregions of EMT-like loss of E-cadherin. Thus, 4T1 cells function as a model for carcinomas with a hybrid epithelial/mesenchymal phenotype that promotes invasion and metastasis.

Back Cover Image

ON THE BACK COVER: DA‐Raf inhibits ERK activation, resulting in the suppression of collective cell migration and invasion of KRAS‐mutant cancer cells. In human pancreatic carcinoma MIA PaCa‐2 cells, phospho‐ERK1/2 (magenta) is suppressed by the expression of EGFP‐DA‐Raf (green). EGFP‐DA‐Raf is concentrated on the plasma membrane.Credit: Aoi Matsuda and Takeshi Endo (Chiba University, Japan) image

Modelling the effect of cell motility on mixing and invasion in epithelial monolayers

Collective cell invasion underlies several biological processes such as wound healing, embryonic development, and cancerous invasion. Here, we investigate the impact of cell motility on invasion in epithelial monolayers and its coupling to cellular mechanical properties, such as cell-cell adhesion and cortex contractility. We develop a two-dimensional computational model for cells with active motility based on the cellular Potts model, which predicts that the cellular invasion speed is mainly determined by active cell motility and is independent of the biological and mechanical properties of the cells. We also find that, in general, motile cells out-compete and invade non-motile cells, however, this can be reversed by differential cell proliferation. Stable coexistence of motile and static cell types is also possible for certain parameter regimes.

Active interfacial degradation/deposition of an elastic matrix by a fluid inclusion: Theory and pattern formation

During collective invasion in 3D, cohesive cellular tissues migrate within a fibrous extracellular matrix (ECM). This process requires significant remodeling of the ECM by cells, notably proteolysis at the cell–ECM interface by specialized molecules. Motivated by this problem, we develop a theoretical framework to study the dynamics of a fluid inclusion (modeling the cellular tissue) embedded in an elastic matrix (the ECM), which undergoes surface degradation/deposition. To account for the active nature of this process, we develop a continuum theory based on irreversible thermodynamics, leading to a kinetic relation for the degradation front that locally resembles the force–velocity relation of a molecular motor. We further study the effect of mechanotransduction on the stability of the cell–ECM interface, finding a variety of self-organized dynamical patterns of collective invasion. Our work identifies ECM proteolysis as an active process possibly driving the self-organization of cellular tissues.

Alternative molecular mechanisms for force transmission at adherens junctions via β-catenin-vinculin interaction

Force transmission through adherens junctions (AJs) is crucial for multicellular organization, wound healing and tissue regeneration. Recent studies shed light on the molecular mechanisms of mechanotransduction at the AJs. However, the canonical model fails to explain force transmission when essential proteins of the mechanotransduction module are mutated or missing. Here, we demonstrate that, in absence of α-catenin, β-catenin can directly and functionally interact with vinculin in its open conformation, bearing physiological forces. Furthermore, we found that β-catenin can prevent vinculin autoinhibition in the presence of α-catenin by occupying vinculin´s head-tail interaction site, thus preserving force transmission capability. Taken together, our findings suggest a multi-step force transmission process at AJs, where α-catenin and β-catenin can alternatively and cooperatively interact with vinculin. This can explain the graded responses needed to maintain tissue mechanical homeostasis and, importantly, unveils a force-bearing mechanism involving β-catenin and extended vinculin that can potentially explain the underlying process enabling collective invasion of metastatic cells lacking α-catenin.

Differential transcriptional invasion signatures from patient derived organoid models define a functional prognostic tool for head and neck cancer

Clinical outcome for patients suffering from HPV-negative head and neck squamous cell carcinoma (HNSCC) remains poor. This is mostly due to highly invasive tumors that cause loco-regional relapses after initial therapeutic intervention and metastatic outgrowth. The molecular pathways governing the detrimental invasive growth modes in HNSCC remain however understudied. Here, we have established HNSCC patient derived organoid (PDO) models that recapitulate 3-dimensional invasion in vitro. Single cell mRNA sequencing was applied to study the differences between non-invasive and invasive conditions, and in a collective versus single cell invading PDO model. Differential expression analysis under invasive conditions in Collagen gels reveals an overall upregulation of a YAP-centered transcriptional program, irrespective of the invasion mode. However, we find that collectively invading HNSCC PDO cells show elevated levels of YAP transcription targets when compared to single cell invasion. Also, collectively invading cells are characterized by increased nuclear translocation of YAP within the invasive strands, which coincides with Collagen-I matrix alignment at the invasive front. Using gene set enrichment analysis, we identify immune cell-like migratory pathways in the single cell invading HNSCC PDO, while collective invasion is characterized by overt upregulation of adhesion and migratory pathways. Lastly, based on clinical head and neck cancer cohorts, we demonstrate that the identified collective invasion signature provides a candidate prognostic platform for survival in HNSCC. By uncoupling collective and single cell invasive programs, we have established invasion signatures that may guide new therapeutic options.

Cellular Energy Cycle Mediates an Advection-Like Forward Cell Flow to Support Collective Invasion.

Collective cell migration is a model for nonequilibrium biological dynamics, which is important for morphogenesis, pattern formation, and cancer metastasis. The current understanding of cellular collective dynamics is based primarily on cells moving within a 2D epithelial monolayer. However, solid tumors often invade surrounding tissues in the form of a stream-like 3D structure, and how biophysical cues are integrated at the cellular level to give rise to this collective streaming remains unclear. Here, it is shown that cell cycle-mediated bioenergetics drive a forward advective flow of cells and energy to the front to support 3D collective invasion. The cell division cycle mediates a corresponding energy cycle such that cellular adenosine triphosphate (ATP) energy peaks just before division. A reaction-advection-diffusion (RAD) type model coupled with experimental measurements further indicates that most cells enter an active division cycle at rear positions during 3D streaming. Once the cells progress to a later stage toward division, the high intracellular energy allows them to preferentially stream toward the tip and become leader cells. This energy-driven cellular flow may be a fundamental characteristic of 3D collective dynamics based on thermodynamic principles important for not only cancer invasion but also tissue morphogenesis.

MEK inhibitors and DA-Raf, a dominant-negative antagonist of the Ras-ERK pathway, prevent the migration and invasion of KRAS-mutant cancer cells.

The Ras-induced ERK pathway (Raf-MEK-ERK signaling cascade) regulates a variety of cellular responses including cell proliferation, survival, and migration. Activating mutations in RAS genes, particularly in the KRAS gene, constitutively activate the ERK pathway, resulting in tumorigenesis, cancer cell invasion, and metastasis. DA-Raf1 (DA-Raf) is a splicing isoform of A-Raf and contains the Ras-binding domain but lacks the kinase domain. Consequently, DA-Raf antagonizes the Ras-ERK pathway in a dominant-negative manner and can serve as a tumor suppressor that targets mutant Ras protein-induced tumorigenesis. We show here that MEK inhibitors and DA-Raf interfere with the in vitro collective cell migration and invasion of human KRAS-mutant carcinoma cell lines, the lung adenocarcinoma A549, colorectal carcinoma HCT116, and pancreatic carcinoma MIA PaCa-2 cells. DA-Raf expression was silenced in these cancer cell lines. All these cell lines had high collective migration abilities and invasion properties in Matrigel, compared with nontumor cells. Their migration and invasion abilities were impaired by suppressing the ERK pathway with the MEK inhibitors U0126 and trametinib, an approved anticancer drug. Expression of DA-Raf in MIA PaCa-2 cells reduced the ERK activity and hindered the migration and invasion abilities. Therefore, DA-Raf may function as an invasion suppressor protein in the KRAS-mutant cancer cells by blocking the Ras-ERK pathway when DA-Raf expression is induced in invasive cancer cells.

A YAP-centered mechanotransduction loop drives collective breast cancer cell invasion

Dense and aligned Collagen I fibers are associated with collective cancer invasion led by protrusive tumor cells, leader cells. In some breast tumors, a population of cancer cells (basal-like cells) maintain several epithelial characteristics and express the myoepithelial/basal cell marker Keratin 14 (K14). Emergence of leader cells and K14 expression are regarded as interconnected events triggered by Collagen I, however the underlying mechanisms remain unknown. Using breast carcinoma organoids, we show that Collagen I drives a force-dependent loop, specifically in basal-like cancer cells. The feed-forward loop is centered around the mechanotransducer Yap and independent of K14 expression. Yap promotes a transcriptional program that enhances Collagen I alignment and tension, which further activates Yap. Active Yap is detected in invading breast cancer cells in patients and required for collective invasion in 3D Collagen I and in the mammary fat pad of mice. Our work uncovers an essential function for Yap in leader cell selection during collective cancer invasion.

Spatial heterogeneity in tumor adhesion qualifies collective cell invasion

Collective cell invasion (CCI), a canon of most invasive solid tumors, is an emergent property of the interactions between cancer cells and their surrounding extracellular matrix (ECM). However, tumor populations invariably consist of cells expressing variable levels of adhesive proteins that mediate such interactions, disallowing an intuitive understanding of how tumor invasiveness at a multicellular scale is influenced by spatial heterogeneity of cell-cell and cell-ECM adhesion. Here, we have used a Cellular Potts model-based multiscale computational framework that is constructed on the histopathological principles of glandular cancers. In earlier efforts on homogenous cancer cell populations, this framework revealed the relative ranges of interactions, including cell-cell and cell-ECM adhesion that drove collective, dispersed, and mixed multimodal invasion. Here, we constitute a tumor core of two separate cell subsets showing distinct intra- and inter-subset cell-cell or cell-ECM adhesion strengths. These two subsets of cells are arranged to varying extents of spatial intermingling, which we call the heterogeneity index (HI). We observe that low and high inter-subset cell adhesion favors invasion of high-HI and low-HI intermingled populations with distinct intra-subset cell-cell adhesion strengths, respectively. In addition, for explored values of cell-ECM adhesion strengths, populations with high HI values collectively invade better than those with lower HI values. We then asked how spatial invasion is regulated by progressively intermingled cellular subsets that are epithelial, i.e., showed high cell-cell but poor cell-ECM adhesion, and mesenchymal, i.e., with reversed adhesion strengths to the former. Here too, inter-subset adhesion plays an important role in contextualizing the proportionate relationship between HI and invasion. An exception to this relationship is seen for cases of heterogeneous cell-ECM adhesion where sub-maximal HI patterns with higher outer localization of cells with stronger ECM adhesion collectively invade better than their relatively higher-HI counterparts. Our simulations also reveal how adhesion heterogeneity qualifies collective invasion, when either cell-cell or cell-ECM adhesion type is varied but results in an invasive dispersion when both adhesion types are simultaneously altered.

Discrete and continuous mathematical models of sharp-fronted collective cell migration and invasion.

Mathematical models describing the spatial spreading and invasion of populations of biological cells are often developed in a continuum modelling framework using reaction-diffusion equations. While continuum models based on linear diffusion are routinely employed and known to capture key experimental observations, linear diffusion fails to predict well-defined sharp fronts that are often observed experimentally. This observation has motivated the use of nonlinear degenerate diffusion; however, these nonlinear models and the associated parameters lack a clear biological motivation and interpretation. Here, we take a different approach by developing a stochastic discrete lattice-based model incorporating biologically inspired mechanisms and then deriving the reaction-diffusion continuum limit. Inspired by experimental observations, agents in the simulation deposit extracellular material, which we call a substrate, locally onto the lattice, and the motility of agents is taken to be proportional to the substrate density. Discrete simulations that mimic a two-dimensional circular barrier assay illustrate how the discrete model supports both smooth and sharp-fronted density profiles depending on the rate of substrate deposition. Coarse-graining the discrete model leads to a novel partial differential equation (PDE) model whose solution accurately approximates averaged data from the discrete model. The new discrete model and PDE approximation provide a simple, biologically motivated framework for modelling the spreading, growth and invasion of cell populations with well-defined sharp fronts. Open-source Julia code to replicate all results in this work is available on GitHub.

Abstract 4297: Interrogating metabolic heterogeneity and cooperation in lung cancer collective cell invasion

Abstract Tumor heterogeneity contributes to tumor progression and a variable response to treatment. We have previously shown that tumor heterogeneity - including metabolic, transcriptional and mutational - underlies non-small cell lung cancer (NSCLC) collective invasion. Using stable subpopulations derived with our Spatiotemporal Cellular and Genomic Analysis (SaGA) technique, we found that two distinct subpopulations of the H1299 NSCLC line cooperate during collective tumor invasion in vitro; while H1299 pack leaders are heavily dependent on oxidative phosphorylation, H1299 pack followers are more reliant on glycolysis. To further dissect how intratumoral heterogeneity enables cancer progression to metastasis, we incorporate high resolution imaging, stable fluorescent labeling, gene editing, and in vitro tumor invasion models to interrogate mechanisms of metabolic cooperation between heterogeneous NSCLC subpopulations. We hypothesize that cooperation and communication between these distinct metabolic subpopulation drives metastatic tumor progression. To determine mechanisms of metabolic cooperativity between subpopulations, we stably transduced our subpopulations to fluorescently label either the mitochondria (through TOM20 labeling) or a key enzyme in glycolysis (through glucose 6-phosphate isomerase GPI labeling), cultured labeled subpopulations with unlabeled subpopulations, and observed metabolic changes and exchange via time-lapse, fluorescence microscopy and flow cytometry in 2D culture conditions. Next steps include visualizing the metabolic cooperation that occurs in conditions mimicking the tumor microenvironment (i.e., 3D invasion assays) using super-resolution microscopy. Taken together, we have developed a method of temporally visualizing metabolic exchange with high spatial resolution between NSCLC subpopulations to investigate the underlying mechanisms enabling successful cell invasion in a variety of tumor microenvironments. Thus far, we have discovered multiple broad mechanisms of exchange including tunneling nanotubes and extracellular vesicles, both of which are inducible with certain stressors common to the tumor microenvironment. Citation Format: Isaac E. Robinson, Veronika Matsuk, Mala Shanmugam, Janna K. Mouw, Adam I. Marcus. Interrogating metabolic heterogeneity and cooperation in lung cancer collective cell invasion [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 4297.

Abstract 1271: PMEPA1 acts as a switch to modulate cooperative cellular invasion and drive NSCLC tumor progression

Abstract Metastatic disease drives cancer patient mortality. One primary mode of metastasis is collective invasion, whereby cohesive groups of cells invade into the adjacent stroma while maintaining cell-cell contacts. Importantly, these cellular packs harbor genetically and phenotypically heterogeneous subpopulations that cooperate to drive invasion. To deconstruct how phenotypic cellular heterogeneity facilitates distinct molecular profiles within a single tumor, we established the technique Spatiotemporal Cellular and Genomic Analysis (SaGA). SaGA is an image-guided approach that optically highlights phenotypically defined cell(s) for live fluorescence-activated cell sorting and analysis. To elucidate the transcriptional heterogeneity across invasive packs within a 3D physiologically-relevant microenvironment, we combined SaGA with single cell RNA sequencing for isolation and analysis of actively invading cells. This novel single cell transcriptomics approach reveals that - during cellular invasion into the microenvironment - the follower subpopulation supplies TGFβ to heterogeneously stimulate both autocrine canonical and paracrine noncanonical signaling pathways. This cooperative exchange facilitates a symbiotic relationship between tumor subpopulations in non-small cell lung carcinoma both in vitro and in vivo. In vitro, we determine that PMEPA1 protein levels mitigate TGFβ downstream effector signaling within heterogeneous tumor cells to modulate JAG1 expression and activity. In vivo, we show that a reduction in JAG1 levels decreases primary tumor cell invasion and progression. We mechanistically define a TGFβ-PMEPA1-JAG1 signaling axis across leader and follower subpopulations critical for tumor cell invasion and cancer progression. Together, these data highlight the importance of cellular heterogeneity and subpopulation communication required for tumor progression. Citation Format: Tala O. Khatib, Brian A. Pedro, Christina M. Knippler, Veronika Y. Matsuk, Sarah F. Webster, Sergei Bombin, Bhakti Dwivedi, Jeanne Kowalski, Henry R. Johnston, Janna K. Mouw, Adam I. Marcus. PMEPA1 acts as a switch to modulate cooperative cellular invasion and drive NSCLC tumor progression [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 1271.

Abstract 1384: Highly metastatic PDAC adopts mesenchymal morphology and spatially coordinates endothelial cells with macrophages

Abstract Background: Patients with pancreatic ductal adenocarcinoma (PDAC) often have metastatic disease at diagnosis and are highly resistant to cytotoxic and immunotherapies. Increased presence of myeloid cells, specifically high myeloid-to-T cell ratios, correlates with worse prognoses. However, mechanisms by which myeloid cells regulate cancer invasion and metastasis remain poorly understood. To study the role of immunosuppressive myeloid cells in driving metastasis, we employed murine PDAC models in conjunction with organoid systems and imaging mass cytometry (IMC). Methods: We used two murine cell lines driven by KrasG12D and Trp53R172H under Pdx1-Cre, KPCY 2838c3 and KPCY 6419c5, which exhibit low-metastatic and high-metastatic propensities, respectively. To characterize differences in the metastatic cascade between these cell lines, flow cytometry, histological analysis, and 3D organoid modeling were used. IMC was also used to interrogate the tumor microenvironment and identify spatial relationships. Results: These cell lines were orthotopically injected into syngeneic C57BL/6J mice to generate tumors that naturally metastasize to the liver. Flow cytometry analysis of livers from mice bearing 2838c3 or 6419c5 pancreatic tumors validated the higher propensity for metastasis with the 6419c5 cells (p=0.0484). Furthermore, the steps along the metastatic cascade contrasted significantly between 6419c5 and 2838c3. Highly metastatic PDAC adopted mesenchymal rather than collective invasion, increased intravasation, and more robust metastatic outgrowth. Notably, IMC revealed that highly metastatic PDAC had increased endothelial cell abundance (***p ≤ 0.001), lower cytotoxic CD8+ T cell to CD4+ regulatory T cell ratios (***p ≤ 0.001), and lower M1-like to M2-like tumor associated macrophage (TAM) ratios (*p ≤ 0.05). Furthermore, spatial analysis demonstrated that highly metastatic PDAC excluded lymphocytes from the tumor and situated Arginase-1+ TAMs near Ki67+ tumor cells and CD31+ endothelial cells. In contrast, low-metastatic PDAC had closer lymphocyte proximities to tumor and greater distances between Arginase-1+ TAMs, tumor, and endothelial cells. Conclusions: The highly metastatic PDAC tumor line utilizes mesenchymal invasion, has increased intravasation, and robust metastatic outgrowth compared to the low-metastatic PDAC cells. The TME of the highly metastatic model had disproportionate abundances of T regulatory cells and M2-like macrophages, poor lymphocyte infiltration, and enhanced vascularization. These overabundant M2-like macrophages (Arginase-1+) were also spatially coordinated with proliferating tumor cells and vasculature, suggesting a potential role for macrophages in tumor cell invasion and/or angiogenesis. Citation Format: Nicole E. Gross, Soren Charmsaz, Jae W. Lee, Cheng-Chieh Huang, Alexei G. Hernandez, Sarah M. Shin, Erin M. Coyne, Courtney Cannon, Xuan Yuan, Laura D. Wood, Elizabeth M. Jaffee, Won Jin Ho. Highly metastatic PDAC adopts mesenchymal morphology and spatially coordinates endothelial cells with macrophages [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 1384.

Abstract 1780: Utilizing bisbiguanide compounds to disrupt metabolic heterogeneity in non-small cell lung cancer

Abstract Metastasis accounts for 90% of cancer-related deaths; however, the molecularmechanisms by which cancer cells invade and metastasize remain poorly understood.Around 80% of lung cancer patients present with metastatic disease and have only a 5%5-year relative survival. Metastases are often seeded by heterogeneous cells that invadecollectively in cellular packs. However, most studies and treatments focus on bulk cellularpopulations leaving subpopulations that drive metastasis masked. We previouslypublished on metabolic heterogeneity within collectively invading lung cancer cells andidentified the bisbiguanide compound alexidine as a disrupter of lung cancermitochondrial metabolism and invasion. To expand on these findings, we developed newbiguanides and identified promising candidates, AX-4 and AX-7. These analogs inducemitochondrial structural defects and cause metabolic rewiring. Treated lung cancer cellsexhibited reduced oxygen consumption and increased lactate production. Importantly,AX-4 and AX-7 reduced collective cell invasion, highlighting the potential of these newbiguanides to limit cancer metastasis. Taken together, we have developed new chemicaltools to disrupt mitochondrial metabolism. These tools will be useful to further parse theroles of metabolically heterogenous cancer cells on tumor growth and metastasis. Citation Format: Veronika Y. Matsuk, Christina M. Knippler, Jamie L. Arnst, Isaac E. Robinson, Tala O. Khatib, Mala Shanmugam, Thota Ganesh, Janna K. Mouw, Adam I. Marcus. Utilizing bisbiguanide compounds to disrupt metabolic heterogeneity in non-small cell lung cancer [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 1780.