Innate immune cell infiltration into neoplastic tissue is the first line of defense against cancer and can play a deterministic role in tumor progression. Here, we describe a series of assays, using a reconfigurable microscale assay platform (i.e. Stacks), which allows the study of immune cell infiltration in vitro with spatiotemporal manipulations. We assembled Stacks assays to investigate tumor-monocyte interactions, re-education of activated macrophages, and neutrophil infiltration. For the first time in vitro, the Stacks infiltration assays reveal that primary tumor-associated fibroblasts from specific patients differ from that associated with the benign region of the prostate in their ability to limit neutrophil infiltration as well as facilitate monocyte adhesion and anti-inflammatory monocyte polarization. These results show that fibroblasts play a regulatory role in immune cell infiltration and that Stacks has the potential to predict individual patients' cancer-immune response.

The study of intercellular signalling networks requires organotypic microscale systems that facilitate the culture, conditioning and manipulation of cells. Here, we describe a reconfigurable microfluidic cell-culture system that facilitates the assembly of three-dimensional tissue models by stacking layers that contain preconditioned microenvironments. By using principles of open and suspended microfluidics, the Stacks system is easily assembled or disassembled to provide spatial and temporal manoeuvrability in two-dimensional and three-dimensional assays of multiple cell types, enabling the modelling of sequential paracrine-signalling events, such as tumour-cell-mediated differentiation of macrophages and macrophage-facilitated angiogenesis. We used Stacks to recapitulate the in vivo observation that different prostate cancer tissues polarize macrophages with distinct gene-expression profiles of pro-inflammatory and anti-inflammatory cytokines. Stacks also enabled us to show that these two types of macrophages signal distinctly to endothelial cells, leading to blood vessels with different morphologies. Our proof-of-concept experiments exemplify how Stacks can efficiently model multicellular interactions and highlight the importance of spatiotemporal specificity in intercellular signalling.

Breast cancer is the most common cancer in women and usually originates from the epithelial cells of the mammary duct. During the earliest stage, the tumor cells remain trapped inside the duct, generating an indolent “Ductal Carcinoma In Situ” (DCIS). However, DCIS cells can break the wall of the mammary duct, invade the surrounding stromal tissue, and metastasize to other organs. Unfortunately, the mechanisms that trigger this invasion remain elusive. One hypothesis is that the harsh microenvironment (i.e., hypoxia, nutrient-starvation) of DCIS leads to epithelial cell invasion into the stroma. In this work, a microfluidic DCIS model was developed including DCIS and normal epithelial cells, fibroblasts, and blood vessel-like structures. Optical metabolic imaging (OMI) of the metabolic co-factors NAD(P)H and FAD was used to assess spatial gradients in metabolism within the microfluidic model. We observed that the epithelial cells hindered the penetration of nutrients inside the lumen, and led to severe hypoxia. This hypoxia exerted OMI-measured metabolic changes in both normal and DCIS cells. Nuclear magnetic resonance (NMR) metabolomics analysis showed DCIS-specific metabolic differences compared with normal cells, in agreement with OMI results. Metabolic changes included an increase in glycolysis products and production of cancer-associated metabolites. A hypoxia-activated prodrug (Tirapazamine) selectively destroyed the hypoxic tumor cells inside the lumen, without affecting cells at the lumen surface or the fibroblasts in the matrix. In the future, OMI of this microfluidic model will be used to test metabolic therapies that prevent the growth of DCIS into an invasive tumor.

Neutrophil infiltration into tissues is essential for host defense and pathogen clearance. Although many of the signaling pathways involved in the transendothelial migration of neutrophils are known, the role of the endothelium in regulating neutrophil behavior in response to infection within interstitial tissues remains unclear. Here we developed a microscale 3-dimensional (3D) model that incorporates an endothelial lumen, a 3D extracellular matrix, and an intact bacterial source to model the host microenvironment. Using this system, we show that an endothelial lumen significantly increased neutrophil migration toward a source of Pseudomonas aeruginosa. Surprisingly, we found neutrophils, which were thought to be short-lived cells in vitro, migrate for up to 24 hours in 3D in the presence of an endothelial lumen and bacteria. In addition, we found that endothelial cells secrete inflammatory mediators induced by the presence of P aeruginosa, including granulocyte-macrophage colony-stimulating factor (GM-CSF), a known promoter of neutrophil survival, and interleukin (IL)-6, a proinflammatory cytokine. We found that pretreatment of neutrophils with a blocking antibody against the IL-6 receptor significantly reduced neutrophil migration to P aeruginosa but did not alter neutrophil lifetime, indicating that secreted IL-6 is an important signal between endothelial cells and neutrophils that mediates migration. Taken together, these findings demonstrate an important role for endothelial paracrine signaling in neutrophil migration and survival.

While organotypic approaches promise increased relevance through the inclusion of increased complexity (e.g., 3D extracellular microenvironment, structure/function relationships, presence of multiple cell types), cell source is often overlooked. Induced pluripotent stem cell (iPSC)-derived cells are potentially more physiologically relevant than cell lines, while also being less variable than primary cells, and recent advances have made them commercially available at costs similar to cell lines. Here, the use of induced pluripotent stem cell-derived endothelium for the generation of a functional microvessel model is demonstrated. High precision structural and microenvironmental control afforded by the design approach synergizes with the advantages of iPSC to produce microvessels for modeling endothelial biology in vitro. iPSC microvessels show endothelial characteristics, exhibit barrier function, secrete angiogenic and inflammatory mediators, and respond to changes in the extracellular microenvironment by altering vessel phenotype. Importantly, when deployed in the investigation of neutrophils during innate immune recruitment, the presence of the iPSC endothelial vessel facilitates neutrophil extravasation and migration toward a chemotactic source. Relevant cell sources, such as iPSC, combine with organotypic models to open the way for improved and increasingly accessible in vitro tissue, disease, and patient-specific models.

Cancer stem-like cells (CSCs) are a topic of increasing importance in cancer research, but are difficult to study due to their rarity and ability to rapidly divide to produce non-self-cells. We developed a simple model to describe transitions between aldehyde dehydrogenase (ALDH) positive CSCs and ALDH(-) bulk ovarian cancer cells. Microfluidics device-isolated single cell experiments demonstrated that ALDH+ cells were more proliferative than ALDH(-) cells. Based on our model we used ALDH+ and ALDH(-) cell division and proliferation properties to develop an empiric sampling algorithm and predict growth rate and CSC proportion for both ovarian cancer cell line and primary ovarian cancer cells, in-vitro and in-vivo. In both cell line and primary ovarian cancer cells, the algorithm predictions demonstrated a high correlation with observed ovarian cancer cell proliferation and CSC proportion. High correlation was maintained even in the presence of the EGF-like domain multiple 6 (EGFL6), a growth factor which changes ALDH+ cell asymmetric division rates and thereby tumor growth rates. Thus, based on sampling from the heterogeneity of in-vitro cell growth and division characteristics of a few hundred single cells, the simple algorithm described here provides rapid and inexpensive means to generate predictions that correlate with in-vivo tumor growth.

Considerable evidence suggests that self-renewal and differentiation of cancer stem-like cells, a key cell population in tumorgenesis, can determine the outcome of disease. Though the development of microfluidics has enhanced the study of cellular lineage, it remains challenging to retrieve sister cells separately inside enclosed microfluidics for further analyses. In this work, we developed a photomechanical method to selectively detach and reliably retrieve target cells from enclosed microfluidic chambers. Cells cultured on carbon nanotube-polydimethylsiloxane composite surfaces can be detached using shear force induced through irradiation of a nanosecond-pulsed laser. This retrieval process has been verified to preserve cell viability, membrane proteins, and mRNA expression levels. Using the presented method, we have successfully performed 96-plex single-cell transcriptome analysis on sister cells in order to identify the genes altered during self-renewal and differentiation, demonstrating phenomenal resolution in the study of cellular lineage.

Cell heterogeneity is an emerging challenge in cell biology and cancer therapies. Each cell in heterogeneous populations has its own unique behavior, and thus responds differently to the same reagent or drug, making analysis or treatment difficult and complicated. Therefore, it is important to understand the heterogeneity characteristics of cells in phenotypic behavior assays. Although conventional fluorescence-activated cell sorting can separate cells based on markers, most assays simply present the average behavior in a batch of cells sorted by markers. It is important to have a capability to fully characterize individual cell behaviors in a miniaturized, high-throughput platform, distinguishing their heterogeneity and tracking their responses over time. This chapter introduces the technological innovations enabling these assays and the associated biological experiments, including (1) single-cell isolation and tracking schemes to investigate the cell proliferation, cell differentiation and lineage, (2) cell migration platforms to measure cell motility, deformation, and invasiveness, and (3) cell-cell interaction platforms to study the alteration of cell behaviors caused by reciprocal interactions among cells.

Proteolytic degradation of the extracellular matrix (ECM) is critical in cancer invasion, and recent work suggests that heterogeneous cancer populations cooperate in this process. Despite the importance of cell heterogeneity, conventional proteolytic assays measure average activity, requiring thousands of cells and providing limited information about heterogeneity and dynamics. Here, we developed a microfluidic platform that provides high-efficiency cell loading and simple valveless isolation, so the proteolytic activity of a small sample (10–100 cells) can be easily characterized. Combined with a single cell derived (clonal) sphere formation platform, we have successfully demonstrated the importance of microenvironmental cues for proteolytic activity and also investigated the difference between clones. Furthermore, the platform allows monitoring single cells at multiple time points, unveiling different cancer cell line dynamics in proteolytic activity. The presented tool facilitates single cell proteolytic analysis using small samples, and our findings illuminate the heterogeneous and dynamic nature of proteolytic activity.

Abstract We have developed a new mathematical algorithm and corresponding computer software that uses observations of single cell behavior to predict the growth of the cancer stem-like cell proportion in larger cancer cell groups. Cancer stem-like cells (CSCs) have been implicated in ovarian cancer tumor growth, chemotherapy resistance, and disease recurrence. Aldehyde dehydrogenase (ALDH) is a primary discriminator of CSCs in ovarian cancer as well as in other cancer types. Unfortunately, the rarity and ability of CSCs to rapidly differentiate makes them difficult to study in-vitro and in-vivo. Microfluidic capture devices now allow us to grow and evaluate single ovarian cancer cells in isolated culture. We deployed microfluidic devices to evaluate the different self-renewal and asymmetric division patterns of ALDH+ and ALDH(-) ovarian CSCs. We analyzed data gathered from arrays of single cell chamber observations and found that purified ALDH+ cells were more proliferative than ALDH(-) cells in both cell-line (n = 112, p < 0.001) and primary (n = 41, p = 0.008) ovarian cancer specimens. Importantly, ALDH+ cells could produce both ALDH+ and ALDH(-) cells, whereas ALDH- cells were only able to produce ALDH- cells. Based on this hierarchy-defining data, we developed an easy to use computer algorithm on the freely-available software R to predict cancer cell population growth in-vitro and in-vivo. In our algorithm, size changes of cell populations are simulated by drawing from observed events. We compared the predictions from our hybrid microfluidics chip and computational algorithm with validation experiments in-vivo and in-vitro for both cell line and primary ovarian cancer cells. We found a superb correlation between observed and predicted in-vitro total and CSC counts for both cell line and primary ovarian cancer cells (correlation r = 0.98, p < 0.0001). Furthermore, this approach appropriately predicted changes in cell growth in the presence of the CSC-promoting growth factor EGFL6 both in vitro and in vivo, over time frames of up to 28 days. The single cell division based sampling algorithm developed here allows for rapid and inexpensive means to predict in-vivo ovarian tumor growth based on microfluidic chip culture and can easily be adapted to evaluate new therapeutic options across other cancer subtypes. Citation Format: Alexander T. Pearson, Patrick Ingram, Shoumei Bai, Euisik Yoon, Trachette Jackson, Ronald J. Buckanovich. A computational algorithm to predict tumor growth and cancer stem cell proportion in-vitro and in-vivo from single-cell observations. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 2705.

Considerable evidence suggests that cancer stem-like cells (CSCs) are critical in tumor pathogenesis, but their rarity and transience has led to much controversy about their exact nature. Although CSCs can be functionally identified using dish-based tumorsphere assays, it is difficult to handle and monitor single cells in dish-based approaches; single cell-based microfluidic approaches offer better control and reliable single cell derived sphere formation. However, like normal stem cells, CSCs are heavily regulated by their microenvironment, requiring tumor-stromal interactions for tumorigenic and proliferative behaviors. To enable single cell derived tumorsphere formation within a stromal microenvironment, we present a dual adherent/suspension co-culture device, which combines a suspension environment for single-cell tumorsphere assays and an adherent environment for co-culturing stromal cells in close proximity by selectively patterning polyHEMA in indented microwells. By minimizing dead volume and improving cell capture efficiency, the presented platform allows for the use of small numbers of cells (<100 cells). As a proof of concept, we co-cultured single T47D (breast cancer) cells and primary cancer associated fibroblasts (CAF) on-chip for 14 days to monitor sphere formation and growth. Compared to mono-culture, co-cultured T47D have higher tumorigenic potential (sphere formation rate) and proliferation rates (larger sphere size). Furthermore, 96-multiplexed single-cell transcriptome analyses were performed to compare the gene expression of co-cultured and mono-cultured T47D cells. Phenotypic changes observed in co-culture correlated with expression changes in genes associated with proliferation, apoptotic suppression, tumorigenicity and even epithelial-to-mesechymal transition. Combining the presented platform with single cell transcriptome analysis, we successfully identified functional CSCs and investigated the phenotypic and transcriptome effects induced by tumor-stromal interactions.

Abstract Little is known about the factors that regulate the asymmetric division of cancer stem–like cells (CSC). Here, we demonstrate that EGFL6, a stem cell regulatory factor expressed in ovarian tumor cells and vasculature, regulates ALDH+ ovarian CSC. EGFL6 signaled at least in part via the oncoprotein SHP2 with concomitant activation of ERK. EGFL6 signaling promoted the migration and asymmetric division of ALDH+ ovarian CSC. As such, EGFL6 increased not only tumor growth but also metastasis. Silencing of EGFL6 or SHP2 limited numbers of ALDH+ cells and reduced tumor growth, supporting a critical role for EGFL6/SHP2 in ALDH+ cell maintenance. Notably, systemic administration of an EGFL6-neutralizing antibody we generated restricted tumor growth and metastasis, specifically blocking ovarian cancer cell recruitment to the ovary. Together, our results offer a preclinical proof of concept for EGFL6 as a novel therapeutic target for the treatment of ovarian cancer. Cancer Res; 76(21); 6396–409. ©2016 AACR.

Considerable evidence suggests that many malignancies are driven by a cellular compartment that displays stem cell properties. Cancer stem-like cells (CSCs) can be identified by expression of cell surface markers or enzymatic activity, but these methods are limited by phenotypic heterogeneity and plasticity of CSCs. An alternative phenotypic methodology based on in-vitro sphere formation has been developed, but it is typically labor-intensive and low-throughput. In this work, we present a 1,024-microchamber microfluidic platform for single-cell derived sphere formation. Utilizing a hydrodynamic capturing scheme, more than 70% of the microchambers capture only one cell, allowing for monitoring of sphere formation from heterogeneous cancer cell populations for identification of CSCs. Single-cell derived spheres can be retrieved and dissociated for single-cell analysis using a custom 96-gene panel to probe heterogeneity within the clonal CSC spheres. This microfluidic platform provides reliable and high-throughput sphere formation for CSC identification and downstream clonal analysis.

Photodynamic therapy (PDT), wherein light sensitive non-toxic agents are locally and selectively activated using light, has emerged as an appealing alternative to traditional cancer chemotherapy. Yet to date, PDT efficacy has been mostly characterized using 2D cultures. Compared to 2D cultures, 3D sphere culture generates unique spatial distributions of nutrients and oxygen for the cells that better mimics the in-vivo conditions. Using a novel polyHEMA (non-adherent polymer) fabrication process, we developed a microfluidic sphere formation platform that can (1) generate 1,024 uniform (size variation <10%) cancer spheres within a 2 cm by 2 cm core area, (2) culture spheres for more than 2 weeks, and (3) allow the retrieval of spheres. Using the presented platform, we have successfully characterized the different responses in 2D and 3D cell culture to PDT. Furthermore, we investigated the treatment resistance effect in cancer cells induced by tumor associated fibroblasts (CAF). Although the CAFs can enhance the resistance to traditional chemotherapy agents, no significant difference in PDT was observed. The preliminary results suggest that the PDT can be an attractive alternative cancer therapy, which is less affected by the therapeutic resistance induced by cancer associated cells.

Whether human cancer follows a hierarchical or stochastic model of differentiation is controversial. Furthermore, the factors that regulate cancer stem-like cell (CSC) differentiation potential are largely unknown. We used a novel microfluidic single-cell culture method to directly observe the differentiation capacity of four heterogeneous ovarian cancer cell populations defined by the expression of the CSC markers aldehyde dehydrogenase (ALDH) and CD133(+/-). We evaluated 3,692 progeny from 2,833 cells. We found that only ALDH(+)CD133(+) cells could generate all four ALDH(+/-) CD133(+/-) cell populations and identified a clear branched differentiation hierarchy. We also observed a single putative stochastic event Within the hierarchy of cells, bone morphologenetic protein 2 (BMP2) is preferentially expressed in ALDH(-)CD133(-) cells. BMP2 promotes ALDH(+)CD133(+) cell expansion while suppressing the proliferation of ALDH(-)CD133(-) cells. As such, BMP2 suppressed bulk cancer cell growth in vitro but increased tumor initiation rates, tumor growth, and chemotherapy resistance in vivo whereas BMP2 knockdown reduced CSC numbers, in vivo growth, and chemoresistance. These data suggest a hierarchical differentiation pattern in which BMP2 acts as a feedback mechanism promoting ovarian CSC expansion and suppressing progenitor proliferation. These results explain why BMP2 suppresses growth in vitro and promotes growth in vivo. Together, our results support BMP2 as a therapeutic target in ovarian cancer.

Tumor cell migration toward and intravasation into capillaries is an early and key event in cancer metastasis, yet not all cancer cells are imbued with the same capability to do so. This heterogeneity within a tumor is a fundamental property of cancer. Tools to help us understand what molecular characteristics allow a certain subpopulation of cells to spread from the primary tumor are thus critical for overcoming metastasis. Conventional in vitro migration platforms treat populations in aggregate, which leads to a masking of intrinsic differences among cells. Some migration assays reported recently have single-cell resolution, but these platforms do not provide for selective retrieval of the distinct migrating and non-migrating cell populations for further analysis. Thus, to study the intrinsic differences in cells responsible for chemotactic heterogeneity, we developed a single-cell migration platform so that individual cells’ migration behavior can be studied and the heterogeneous population sorted based upon chemotactic phenotype. Furthermore, after migration, the highly chemotactic and non-chemotactic cells were retrieved and proved viable for later molecular analysis of their differences. Moreover, we modified the migration channel to resemble lymphatic capillaries to better understand how certain cancer cells are able to move through geometrically confining spaces.

Cancer heterogeneity has received considerable attention for its role in tumor initiation and progression, and its implication for diagnostics and therapeutics in the clinic. To facilitate a cellular heterogeneity study in a low cost and highly efficient manner, we present a microfluidic platform that allows traceable clonal culture and characterization. The platform captures single cells into a microwell array and cultures them for clonal expansion, subsequently allowing on-chip characterization of clonal phenotype and response against drug treatments. Using a heterogeneous prostate cancer model, the PC3 cell line, we verified our prototype, identifying three different sub-phenotypes and correlating their clonal drug responsiveness to cell phenotype.

Cancer-stromal interaction is a critical process in tumorigenesis. Conventional dish-based co-culture assays simply mix two cell types in the same dish; thus, they are deficient in controlling cell locations and precisely tracking single cell behavior from heterogeneous cell populations. Microfluidic technology can provide a good spatial-temporal control of microenvironments, but the control has been typically realized by using external pumps, making long-term cultures cumbersome and bulky. In this work, we have presented a cell-cell interaction microfluidic platform that can accurately control the co-culture microenvironment by using a novel electrolytic cell isolation scheme without using any valves or pneumatic pumps. The proposed microfluidic platform can also precisely control the number of interacting cells and pairing ratios to emulate cancer niches. More than 80% of the chambers captured the desired number of cells. The duration of cell isolation can be adjusted by electrolytic bubble generation and removal. We have verified that the electrolytic process has a negligible effect on cell viability and proliferation in our platform. To the best of our knowledge, this work is the first attempt to incorporate electrolytic bubble generation as a cell isolation method in microfluidics. For proof of feasibility, we have performed cell-cell interaction assays between prostate cancer (PC3) cells and myoblast (C2C12) cells. The preliminary results demonstrated the potential of using electrolysis for micro-environmental control during cell culture. Also, the ratio controlled cell-cell interaction assays were successfully performed which showed that the cell pairing ratios of PC3 to C2C12 affected the proliferation rate of myoblast cells due to increased secretion of growth factors from prostate cancer cells.