Three-dimensional Tumor Models Research Articles

Effects of culture condition on epigenomic profiles of brain tumor cells.

Personalized cancer medicine offers the promise of more effective treatments that are tailored to an individual's own dynamic cancer phenotype. Meanwhile, tissue-engineering approaches to modeling tumors may complement these advances by providing a powerful new approach to understanding the adaptation dynamics occurring during treatment. However, in both of these areas new tools will be required to gain a full picture of the genetic and epigenetic regulators of phenotype dynamics occurring in the small populations of cells that drive resistance. In this study, we perform epigenomic analysis of brain tumor cells that are collected from micro-engineered three-dimensional tumor models, overcoming the challenges associated with the small numbers of cells contained within these micro-tissue niches, in this case collecting ~1,000 cells per sample. Specifically, we use a high-resolution epigenomic analysis method known as microfluidic-oscillatory-washing-based chromatin immunoprecipitation with sequencing (MOWChIP-seq) to analyze histone methylation patterns (H3K4me3). We identified gene loci that are associated with the H3K4me3 modification, which is generally a mark of active transcription. We compared methylation patterns in standard 2D cultures and 3D cultures based on type I collagen hydrogels, under both normoxic and hypoxic conditions. We found that culture dimensionality drastically impacted the H3k4me3 profile and resulted in differential modifications in response to hypoxic stress. Differentially H3K4me3-marked regions under the culture conditions used in this study have important implications for gene expression differences that have been previously observed. In total, our work illustrates a direct connection between cell culture or tissue niche condition and genome-wide alterations in histone modifications, providing the first steps towards analyzing the spatiotemporal variations in epigenetic regulation of cancer cell phenotypes. This study, to our knowledge, also represents the first time broad-spectrum epigenomic analysis has been applied to small cell samples collected from engineered micro-tissues.

High-throughput three-dimensional spheroid tumor model using a novel stamp-like tool

Spheroid culture is a widely used three-dimensional culture technology that simulates the three-dimensional structure of tumors in vivo and has been considered a good model for tumor research. However, current commercialized spheroid culture tools have the shortcomings of high cost or relatively poor spheroid-forming results for some special cells. To solve such problems, we designed a 3D printed, reusable, stamp-like resin mold that could shape microstructures for spheroid culture of tumor cells on the surface of agarose substrate in a 96-well plate. We applied this homemade three-dimensional culture tool in spheroid formation for hepatocellular carcinoma cells. The experimental data show that the effect of spheroid culture on four hepatocellular carcinoma cell lines in our homemade spheroid culture plate is better than that of the commercialized ultralow attachment spheroid culture plate, and compared to two-dimensional culture, three-dimensional culture improves cell functions. In addition, the drug-sensitive test based on patient-derived hepatocellular carcinoma cells showed a different pattern between spheroid and two-dimensional cultures. In conclusion, our spheroid culture tool is characterized by its low cost, reusability, low cell consumption, convenience in medium exchange, and good effect of spheroid formation, suggesting that this technique could be widely used in individual treatment and high-throughput drug screening.

3D cell coculture tumor model: A promising approach for future cancer drug discovery

Abstract It is recognized that tumors do not exist and grow as isolated entities of neoplastic cells, but rather in continuous and bidirectional communication with adjacent stromal cells. Stromal cellular components, like fibroblasts, endothelial cells and multiple immune cells, have been proven to play critical roles in tumor development. In the past decade, a variety of in vitro three-dimensional (3D) tumor models were developed to replace conventional monolayer cell culture systems. 3D cell coculture between tumor and stromal cells has also gained increasing interest due to improved mimicry of in vivo tumor microenvironments. In this review, we first provide a general overview of the mechanisms for cancer development mediated by several key types of stromal cells, and their current applications in cell coculture. Next, a variety of current methodologies for 3D cell coculture are summarized in terms of cell contact methods, 3D scaffolds and culture devices. The potential of an integrated high throughput (HT) 3D cell coculture screening platform for cancer drug discovery is also discussed in this review.

3D bioprinted glioma cell-laden scaffolds enriching glioma stem cells via epithelial-mesenchymal transition.

Glioma stem cells (GSCs) are thought to be the root cause of tumor recurrence and drug resistance in glioma patients. In-depth study of GSCs is of great significance for developing the treatment strategies of glioma. Unfortunately, it is difficult and takes complicated process to obtain GSCs. Therefore, establishing an ideal in vitro model for enriching GSCs will greatly promote the study of GSCs. In this study, the stemness properties of glioma cells were enhanced in three-dimensional (3D) bioprinted tumor model. Furthermore, the possible molecular mechanism of GSCs enrichment: epithelial-mesenchymal transition (EMT) was explored. Compared with two-dimensional cultured cells, the proportion of GSCs and EMT-related genes in 3D cultured cells were significantly increased. Moreover, the 3D cultured glioma cells with improved stemness properties resulted in higher drug resistance in vitro and tumorigenicity in vivo. Taken together, 3D bioprinted glioma cell-laden scaffold provides a proper platform for the enrichment of GSCs and it is expected to further promote the research on glioma drug resistance. © 2018 Wiley Periodicals, Inc. J Biomed Mater Res Part A: 107A: 383-391, 2019.

Two-photon fluorescence lifetime imaging of intrinsic NADH in three-dimensional tumor models.

Most studies using intrinsic NAD(P)H as biomarkers for energy metabolism and mitochondrial anomalies have been conducted in routine two-dimensional (2D) cell culture formats. Cellular metabolism and cell behavior, however, can be significantly different in 2D cultures from that in vivo. As a result, there are emerging interests in integrating noninvasive, quantitative imaging techniques of NAD(P)H with in vivo-like three-dimensional (3D) models. The overall features and metabolic responses of the murine breast cancer cells line 4T1 in 2D cultures were compared with those in 3D collagen matrix using integrated optical micro-spectroscopy. The metabolic responses to two novel compounds, MD1 and TPPBr, that target metabolism by disrupting monocarboxylate transporters or oxidative phosphorylation (OXPHOS), respectively, were investigated using two-photon fluorescence lifetime imaging microscopy (2P-FLIM) of intracellular NAD(P)H in 2D and 3D cultures. 4T1 cells exhibit distinct behaviors in a collagenous 3D matrix from those in 2D culture, forming anastomosing multicellular networks and spherical acini in 3D culture, as opposed to simple flattened epithelial plaques in 2D culture. The cellular NAD(P)H in 3D collagen matrix exhibits a longer fluorescence lifetime as compared with 2D culture, which is attributed to an enhanced population of enzyme-bound NAD(P)H in the 3D culture. TPPBr induces mitochondrial hyperpolarization in 2D culture of 4T1 cells along with an enhanced free NAD(P)H population, which suggest an interference with OXPHOS. In contrast, 2P-FLIM of cellular NAD(P)H revealed an enhanced autofluorescence lifetime in 3D 4T1 cultures after MD1 treatment as compared with MD1-treated 2D culture and the control 3D culture. Physical and chemical microenvironmental signaling are critical factors in understanding how therapeutic compounds target cancer cells by disrupting their metabolic pathways. Integrating 2P-FLIM of intrinsic NAD(P)H with refined 3D tumor-matrix in vitro models promises to advance our understanding of the roles of metabolism and metabolic plasticity in tumor growth and metastatic behavior. © 2018 International Society for Advancement of Cytometry.

A Novel 3D in Vitro Tumor Model Based on Silk Fibroin/Chitosan Scaffolds To Mimic the Tumor Microenvironment.

Drug development involves various evaluation processes to ascertain drug effects and rigorous analysis of biological indicators during in vitro preclinical studies. Two-dimensional (2D) cell cultures are commonly used in numerous in vitro studies, which are poor facsimiles of the in vivo conditions. Recently, three-dimensional (3D) tumor models mimicking the tumor microenvironment and reducing the use of experimental animals have been developed generating great interest to appraise tumor response to treatment strategies in cancer therapy. In this study, silk fibroin (SF) protein and chitosan (CS), two natural biomaterials, were chosen to construct the scaffolds of 3D cell models. Human non-small cell lung cancer A549 cells in the SF/CS scaffolds were found to have a great tendency to gather and form tumor spheres. A549 cell spheres in the 3D scaffolds showed biological and morphological characteristics much closer to the in vivo tumors. Besides, the cells in 3D models displayed better invasion ability and drug resistance than 2D models. Additionally, differences in drug-resistant and immune-related protein levels were found, which indicated that 3D models might resemble the real-life situation. These findings suggested that these 3D tumor models composed of SF/CS are promising to provide a valuable biomaterial platform in the evaluation of anticancer drugs.

Bioprintable Alginate/Gelatin Hydrogel 3D In Vitro Model Systems Induce Cell Spheroid Formation.

The cellular, biochemical, and biophysical heterogeneity of the native tumor microenvironment is not recapitulated by growing immortalized cancer cell lines using conventional two-dimensional (2D) cell culture. These challenges can be overcome by using bioprinting techniques to build heterogeneous three-dimensional (3D) tumor models whereby different types of cells are embedded. Alginate and gelatin are two of the most common biomaterials employed in bioprinting due to their biocompatibility, biomimicry, and mechanical properties. By combining the two polymers, we achieved a bioprintable composite hydrogel with similarities to the microscopic architecture of a native tumor stroma. We studied the printability of the composite hydrogel via rheology and obtained the optimal printing window. Breast cancer cells and fibroblasts were embedded in the hydrogels and printed to form a 3D model mimicking the in vivo microenvironment. The bioprinted heterogeneous model achieves a high viability for long-term cell culture (> 30 days) and promotes the self-assembly of breast cancer cells into multicellular tumor spheroids (MCTS). We observed the migration and interaction of the cancer-associated fibroblast cells (CAFs) with the MCTS in this model. By using bioprinted cell culture platforms as co-culture systems, it offers a unique tool to study the dependence of tumorigenesis on the stroma composition. This technique features a high-throughput, low cost, and high reproducibility, and it can also provide an alternative model to conventional cell monolayer cultures and animal tumor models to study cancer biology.

Abstract 5024: Drug screening of biopsy-derived multicellular spheroids using microfluidic technology

Abstract Performing drug screening, of physiologically relevant three-dimensional (3D) tumor models, for personalized treatment remains challenging, due to the small amount of tissue available from most biopsies. New microfluidic technologies, enabling greater control over cell positioning and fluid behavior at the micro-scale, allow extensive testing of anticancer agents on human tumor tissue preparations in 3D and offer new solutions for the development of anticancer compounds and personalized medicine. We have developed a microfluidic platform for extensive drug screening of tumor biopsies in a cost-effective manner and validated the system with tumor prostate patient samples. As a typical drug screening assay, up to 22 drug concentration-response curves could be generated from a single biopsy, within a time frame of up to 4 weeks. Biopsy tissue, grown as a heterogeneous co-culture from the primary sample, was prepared as cancer-cell enriched multicellular spheroids, cultured for 3 to 5 days prior to the application of a panel of standard-of-care drugs for prostate cancer. Readouts were obtained via bright-field and epifluorescence microscopy. The microfluidic platform was designed to be operated entirely without the need of external fluid actuation, with the microfluidic network capable of generating long-lasting, stable and repeatable drug concentration gradients across arrays of 240 spheroids. Outcomes were generated as 8-point drug concentration response curves per device, with each drug concentration tested on at least 24 spheroids. In-house developed software was used to analyze bright-field and fluorescent images to provide readouts of spheroid growth and viability, as well as information on drug penetration and drug efficacy over time. Following platform and assay validation using cancer cell lines, proof-of-concept screening was performed on prostate biopsies from 2 different patients. Results showed that biopsy-derived spheroids were more resistant to treatment than LNCaP spheroids, a prostate cancer cell line. For one biopsy, spheroids were sensitive to docetaxel, but resistant to enzalutamide, despite the presence of intact androgen receptors. This preliminary data outlines how this technology could become a useful tool to investigate patient-specific drug resistance and to test novel anticancer agents in a cost-effective manner, based on maximized screening of human tumor tissue in a 3D format. Citation Format: Theresa E. Mulholland, Milly McAllister, Samantha Patek, David Flint, Mark Underwood, Alexander Sim, Joanne Edwards, Michele Zagnoni. Drug screening of biopsy-derived multicellular spheroids using microfluidic technology [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 5024.

Recapitulating spatiotemporal tumor heterogeneity in vitro through engineered breast cancer microtissues

Tumor and microenvironmental heterogeneity hinders the study of breast cancer biology and the assessment of therapeutic strategies, being associated with high variability and drug resistance. In this context, it is mandatory to develop three-dimensional breast tumor models able to reproduce this heterogeneity and the dynamic interaction occurring between tumor cells and microenvironment. Here we show a new breast cancer microtissue model (T-µTP) uniquely able to present intra-tumor morphological heterogeneity in a dynamic and responsive endogenous matrix. T-µTP consists of adenocarcinoma cells, endothelial cells and stromal fibroblasts. These three kinds of cells are totally embedded into an endogenous matrix which is rich in collagen and hyaluronic acid and it is directly produced by human fibroblasts. In this highly physiologically relevant environment, tumor cells evolve in different cluster morphologies recapitulating tumor spatiotemporal heterogeneity. Moreover they activate the desmoplastic and vascular reaction with affected collagen content, assembly and organization and the presence of aberrant capillary-like structures (CLS). Thus, T-µTP allows to outline main crucial events involved in breast cancer progression into a single model overcoming the limit of artificial extra cellular matrix surrogates. We strongly believe that T-µTP is a suitable model for the study of breast cancer and for drug screening assays following key parameters of clinical interest. Statement of SignificanceTumor and microenvironmental heterogeneity makes very hurdle to find a way to study and treat breast cancer. Here we develop an innovative 3D tumor microtissue model recapitulating in vitro tumor heterogeneity. Tumor microtissues are characterized by the activation of the stromal and vascular reaction too. We underline the importance to mimic different microenvironmental tumor features in the same time and in a single tissue in order to obtain a model of spatiotemporal tumor genesis and progression, suitable for the study of tumor treatment and resistance.

The mode and dynamics of glioblastoma cell invasion into a decellularized tissue-derived extracellular matrix-based three-dimensional tumor model

Glioblastoma multiforme (GBM) is the most common brain tumor with very aggressive and infiltrative. Extracellular matrix (ECM) plays pivotal roles in the infiltrative characteristics of GBM. To understand the invasive characteristic of GBM, it is necessary to study cell-ECM interaction in the physiologically relevant biomimetic model that recapitulates the GBM-specific ECM microenvironment. Here, we propose biomimetic GBM-specific ECM microenvironment for studying mode and dynamics of glioblastoma cell invasion. Using tissue decellularization process, we constructed a patient tissue-derived ECM (pdECM)-based three-dimensional in vitro model. In our model, GBM cells exhibited heterogeneous morphology and altered the invasion routes in a microenvironment-adaptive manner. We further elucidate the effects of inhibition of ECM remodeling-related enzymatic activity (Matrix metalloproteinase (MMP) 2/9, hyaluronan synthase (HAS)) on GBM cell invasion. Interestingly, after blocking both enzyme activity, GBM cells underwent morphological transition and switch the invasion mode. Such adaptability could render cell invasion resistant to anti-cancer target therapy. There results provide insight of how organ-specific matrix differentially regulates cancer cell phenotype, and have significant implications for the design of matrix with appropriate physiologically relevant properties for in vitro tumor model.

Fibroblast-associated tumour microenvironment induces vascular structure-networked tumouroid

In vitro three-dimensional (3D) tumour models mimic natural cancer tissue in vivo, bridging the gap between conventional 2D in vitro testing and animal models. Stromal and cancer tissues with extracellular matrix (ECM) can provide a tumour microenvironment (TME) with cell-to-cell and cell-to-ECM interactions. These interactions induce the exchange of biophysical factors, contributing to the progression, metastasis, and drug resistance of cancer. Here, we describe a 3D in vitro lung cancer model cultured in a microfluidic channel that is able to confirm the role and function of various stromal cells in tumourigenesis, thereby representing an in vivo-like TME. We founded that biophysical factors contribute to the role of fibroblast cells in tumour formation, especially, producing a nascent vessel-like tubular structure, resulting in the formation of vascularized tumour tissue. Fibroblast cells altered the gene expression of the cancer cells to enhance metastasis, survival, and angiogenesis. The device could be used for developing and screening anti-cancer drugs through the formation of the same multicellular tumour spheroids under TME interactions. We believe this microfluidic system provides interaction of TME for cancer research by culturing stromal tissue.

Extracellular Matrix Containing invitro Three-dimensional Tumor Models in Photodynamic Therapy-related Research.

Three-dimensional (3D) tumor models have been intensively evaluated for their use in cancer research, and there is a strong rationale behind using 3D cell cultures in photodynamic therapy (PDT)-related experimentation. In this contribution, it is explained why 3D cell cultures containing extracellular matrix (ECM) are preferred for this purpose. Results of experimental studies utilizing ECM-containing 3D cellular models in PDT research are summarized. Finally, the design of invitro 3D models that would provide clinically relevant information is discussed.

The Anti-Angiogenic Effect of Atorvastatin in Glioblastoma Spheroids Tumor Cultured in Fibrin Gel: in 3D in Vitro Model

Purpose:Glioblastoma multiform (GBM) is the most aggressive glial neoplasm. Researchers have exploited the fact that GBMs are highly vascularized tumors. Anti-angiogenic strategies including those targeting VEGF pathway have been emerged for treatment of GBM. Previously, we reported the anti-inflammatory effect of atorvastatin on GBM cells. In this study, we investigated the anti-angiogenesis and apoptotic activity of atorvastatin on GBM cells.Methods:Different concentrations of atorvastatin (1, 5, 10µM) were used on engineered three-dimensional (3D) human tumor models using glioma spheroids and Human Umbilical Vein Endothelial cells (HUVECs) in fibrin gel as tumor models. To reach for these aims, angiogenesis as tube-like structures sprouting of HUVECs were observed after 24 hour treatment with different concentrations of atorvastatin into the 3-D fibrin matrix and we focused on it by angiogenesis antibody array. After 48 hours exposing with different concentrations of atorvastatin, cell migration of HUVECs were investigated. After 24 and 48 hours exposing with different concentrations of atorvastatin VEGF, CD31, caspase-3 and Bcl-2 genes expression by real time PCR were assayed.Results:The results showed that atorvastatin has potent anti-angiogenic effect and apoptosis inducing effect against glioma spheroids. Atorvastatin down-regulated the expression of VEGF, CD31 and Bcl-2, and induced the expression of caspase-3 especially at 10µM concentration. These effects are dose dependent.Conclusion:These results suggest that this biomimetic model with fibrin may provide a vastly applicable 3D culture system to study the effect of anti-cancer drugs such as atorvastatin on tumor malignancy in vitro and in vivo and atorvastatin could be used as agent for glioblastoma treatment.

Three-dimensional tumor model mimics stromal - breast cancer cells signaling.

Tumor stroma is a major contributor to the biological aggressiveness of cancer cells. Cancer cells induce activation of normal fibroblasts to carcinoma-associated fibroblasts (CAFs), which promote survival, proliferation, metastasis, and drug resistance of cancer cells. A better understanding of these interactions could lead to new, targeted therapies for cancers with limited treatment options, such as triple negative breast cancer (TNBC). To overcome limitations of standard monolayer cell cultures and xenograft models that lack tumor complexity and/or human stroma, we have developed a high throughput tumor spheroid technology utilizing a polymeric aqueous two-phase system to conveniently model interactions of CAFs and TNBC cells and quantify effects on signaling and drug resistance of cancer cells. We focused on signaling by chemokine CXCL12, a hallmark molecule secreted by CAFs, and receptor CXCR4, a driver of tumor progression and metastasis in TNBC. Using three-dimensional stromal-TNBC cells cultures, we demonstrate that CXCL12 – CXCR4 signaling significantly increases growth of TNBC cells and drug resistance through activation of mitogen-activated protein kinase (MAPK) and phosphoinositide 3-kinase (PI3K) pathways. Despite resistance to standard chemotherapy, upregulation of MAPK and PI3K signaling sensitizes TNBC cells in co-culture spheroids to specific inhibitors of these kinase pathways. Furthermore, disrupting CXCL12 – CXCR4 signaling diminishes drug resistance of TNBC cells in co-culture spheroid models. This work illustrates the capability to identify mechanisms of drug resistance and overcome them using our engineered model of tumor-stromal interactions.

Comprehensive high-throughput image analysis for therapeutic efficacy of architecturally complex heterotypic organoids

Bioengineered three-dimensional (3D) tumor models that incorporate heterotypic cellular communication are gaining interest as they can recapitulate key features regarding the intrinsic heterogeneity of cancer tissues. However, the architectural complexity and heterogeneous contents associated with these models pose a challenge for toxicological assays to accurately report treatment outcomes. To address this issue, we describe a comprehensive image analysis procedure for structurally complex organotypic cultures (CALYPSO) applied to fluorescence-based assays to extract multiparametric readouts of treatment effects for heterotypic tumor cultures that enables advanced analyses. The capacity of this approach is exemplified on various 3D models including adherent/suspension, mono-/heterocellular cultures and several disease types. The subsequent analysis revealed specific morphological effects of oxaliplatin chemotherapy, radiotherapy, and photodynamic therapy. The procedure can be readily implemented in most laboratories to facilitate high-throughput toxicological screening of pharmaceutical agents and treatment regimens on organotypic cultures of human disease to expedite drug and therapy development.

Cell sheet-based multilayered liver tumor models for anti-cancer drug screening.

To fabricate in vitro cell-dense, three-dimensional (3D) tumor models by employing a cell sheet technology for testing anti-cancer drug efficacy. The stratified liver tumor models were fabricated by stacking contiguous HepG2 cell sheets. Triple-layer (3L), double-layer (2L), single-layer (1L) cell sheet-based liver tumor models (CSLTMs) demonstrated 106, 96, 85% cell viability, respectively, after 3 days treatment of 10µM doxorubicin hydrochloride (DOX), while cell viability in two-dimensional (2D) conventional culture (control) was 27%. After 7 days of DOX treatment, the viabilities of 3L, 2L, 1L, control were 24, 14, 3 and 4%, respectively. Probable explanations were blocked diffusion of DOX by the intact and multilayered structure and also hypoxia in the bottom of multilayered cell sheets. CSLTMs showed a thickness-dependent cytotoxic efficacy of DOX and greater drug resistance than the control, thereby providing useful information toward the development of improved biomimetic tumor models.

In situ measurement of ECM rheology and microheterogeneity in embedded and overlaid 3D pancreatic tumor stroma co-cultures via passive particle tracking

Tumor growth is regulated by a diverse set of extracellular influences, including paracrine crosstalk with stromal partners, and biophysical interactions with surrounding cells and tissues.Studies elucidating the role of physical force and the mechanical properties of the extracellular matrix (ECM) itself as regulators of tumor growth and invasion have been greatly catalyzed by the use of in vitro three-dimensional (3D) tumor models. These systems provide the ability to systematically isolate, manipulate, and evaluate impact of stromal components and extracellular mechanics in a platform that is both conducive to imaging and biologically relevant. However, recognizing that mechanoregulatory crosstalk is bi-directional and fully utilizing these models requires complementary methods for in situ measurements of the local mechanical environment. Here, in 3D tumor/fibroblast co-culture models of pancreatic cancer, a disease characterized by its prominent stromal involvement, we evaluate the use of particle-tracking microrheology to probe dynamic mechanical changes. Using videos of fluorescently labeled polystyrene microspheres embedded in collagen I ECM, we measure spatiotemporal changes in the Brownian motion of probes to report local ECM shear modulus and microheterogeneity. This approach reveals stiffening of collagen in fibroblast co-cultures relative to cultures with cancer cells only, which exhibit degraded ECM with heterogeneous microstructure. We further show that these effects are dependent on culture geometry with contrasting behavior for embedded and overlay cultures. In addition to potential application to screening stroma-targeted therapeutics, this work also provides insight into how the composition and plating geometry impact the mechanical properties of 3D cell cultures that are increasingly widely used in cancer biology.

The Generation of Three-Dimensional Head and Neck Cancer Models for Drug Discovery in 384-Well Ultra-Low Attachment Microplates.

The poor success rate of cancer drug discovery has prompted efforts to develop more physiologically relevant cellular models for early preclinical cancer lead discovery assays. For solid tumors, this would dictate the implementation of three-dimensional (3D) tumor models that more accurately recapitulate human solid tumor architecture and biology. A number of anchorage-dependent and anchorage-independent in vitro 3D cancer models have been developed together with homogeneous assay methods and high content imaging approaches to assess tumor spheroid morphology, growth, and viability. However, several significant technical challenges have restricted the implementation of some 3D models in HTS. We describe a method that uses 384-well U-bottomed ultra-low attachment (ULA) microplates to produce head and neck tumor spheroids for cancer drug discovery assays. The production of multicellular head and neck cancer spheroids in 384-well ULA-plates occurs in situ, does not impose an inordinate tissue culture burden for HTS, is readily compatible with automation and homogeneous assay detection methods, and produces high-quality uniform-sized spheroids that can be utilized in cancer drug cytotoxicity assays within days rather than weeks.

A phantom study of terahertz spectroscopy and imaging of micro- and nano-diamonds and nano-onions as contrast agents for breast cancer

Terahertz (THz) imaging is effective in distinguishing between cancerous, healthy, and fatty tissues in breast tumors, but a challenge remains in the contrast between cancerous and fibroglandular (healthy) tissues. This work investigates carbon-based nanoparticles as potential contrast agents for THz imaging of breast cancer. Microdiamonds, nanodiamonds (NDs), and nanometer-scale onion-like carbon (OLC) are characterized with THz transmission spectroscopy in low-absorption backgrounds of polydimethylsiloxane or polyethylene. The refractive index and absorption coefficients are calculated based on the measured electric fields. NDs show little effect on the THz signal, microdiamonds express resonance-like, size-dependent absorption peaks, and OLC provides a uniform increase in the optical properties even at low concentration. Due to its strong interaction with THz frequencies and ability to be activated for selective binding to cancer cells, OLC is implemented into engineered three-dimensional breast tumor models composed of phantom tissue mimicking infiltrating ductal carcinoma surrounded by a phantom mimicking healthy fibroglandular tissue. This model is imaged using the THz reflection mode to examine the effectiveness of contrast agents for differentiation between the two tissue types. In both spectroscopy and imaging, a 10% concentration of OLC shows the strongest impact on the THz signal and holds promise as a THz contrast agent.

Bioinspired Hydrogels to Engineer Cancer Microenvironments.

Recent research has demonstrated that tumor microenvironments play pivotal roles in tumor development and metastasis through various physical, chemical, and biological factors, including extracellular matrix (ECM) composition, matrix remodeling, oxygen tension, pH, cytokines, and matrix stiffness. An emerging trend in cancer research involves the creation of engineered three-dimensional tumor models using bioinspired hydrogels that accurately recapitulate the native tumor microenvironment. With recent advances in materials engineering, many researchers are developing engineered tumor models, which are promising platforms for the study of cancer biology and for screening of therapeutic agents for better clinical outcomes. In this review, we discuss the development and use of polymeric hydrogel materials to engineer native tumor ECMs for cancer research, focusing on emerging technologies in cancer engineering that aim to accelerate clinical outcomes.