More Like this

1. A Functional Precision Medicine Pipeline Combines Comparative Transcriptomics and Tumor Organoid Modeling to Identify Bespoke Treatment Strategies for Glioblastoma

   https://doi.org/10.3390/cells10123400  

   Reed, Megan R.; Lyle, A. Geoffrey; De Loose, Annick; Maddukuri, Leena; Learned, Katrina; Beale, Holly C.; Kephart, Ellen T.; Cheney, Allison; van den Bout, Anouk; Lee, Madison P.; et al (December 2021, Cells)

   Li Fraumeni syndrome (LFS) is a hereditary cancer predisposition syndrome caused by germline mutations in TP53. TP53 is the most common mutated gene in human cancer, occurring in 30–50% of glioblastomas (GBM). Here, we highlight a precision medicine platform to identify potential targets for a GBM patient with LFS. We used a comparative transcriptomics approach to identify genes that are uniquely overexpressed in the LFS GBM patient relative to a cancer compendium of 12,747 tumor RNA sequencing data sets, including 200 GBMs. STAT1 and STAT2 were identified as being significantly overexpressed in the LFS patient, indicating ruxolitinib, a Janus kinase 1 and 2 inhibitors, as a potential therapy. The LFS patient had the highest level of STAT1 and STAT2 expression in an institutional high-grade glioma cohort of 45 patients, further supporting the cancer compendium results. To empirically validate the comparative transcriptomics pipeline, we used a combination of adherent and organoid cell culture techniques, including ex vivo patient-derived organoids (PDOs) from four patient-derived cell lines, including the LFS patient. STAT1 and STAT2 expression levels in the four patient-derived cells correlated with levels identified in the respective parent tumors. In both adherent and organoid cultures, cells from the LFS patient were among the most sensitive to ruxolitinib compared to patient-derived cells with lower STAT1 and STAT2 expression levels. A spheroid-based drug screening assay (3D-PREDICT) was performed and used to identify further therapeutic targets. Two targeted therapies were selected for the patient of interest and resulted in radiographic disease stability. This manuscript supports the use of comparative transcriptomics to identify personalized therapeutic targets in a functional precision medicine platform for malignant brain tumors. 

   more » « less
2. Enhancing Anti-Tumorigenic Efficacy of Eugenol in Human Colon Cancer Cells Using Enzyme-Responsive Nanoparticles

   https://doi.org/10.3390/cancers15041145  

   Wijewantha, Nisitha; Sane, Sanam; Eikanger, Morgan; Antony, Ryan M; Potts, Rashaun A; Lang, Lydia; Rezvani, Khosrow; Sereda, Grigoriy (February 2023, Cancers)

   This study is focused on the selective delivery and release of the plant-based anticancer compound eugenol (EUG) in colorectal cancer cells (CRC). EUG is an apoptotic and anti-growth compound in diverse malignant tumors, including CRC. However, EUG’s rapid metabolization, excretion, and side effects on normal cells at higher dosages are major limitations of its therapeutic potential. To address this problem, we developed a “smart” enzyme-responsive nanoparticle (eNP) loaded with EUG that exposes tumors to a high level of the drug while keeping its concentration low among healthy cells. We demonstrated that EUG induces apoptosis in CRC cells irrespective of their grades in a dose- and time-dependent manner. EUG significantly decreases cancer cell migration, invasion, and the population of colon cancer stem cells, which are key players in tumor metastasis and drug resistance. The “smart” eNPs–EUG show a high affinity to cancer cells with rapid internalization with no affinity toward normal colon epithelial cells. NPs–EUG enhanced the therapeutic efficacy of EUG measured by a cell viability assay and showed no toxicity effect on normal cells. The development of eNPs–EUG is a promising strategy for innovative anti-metastatic therapeutics. 

   more » « less
3. Abstract 4560: Assay-ready tissue-engineered cancer microspheres for high-throughput screening

   https://doi.org/10.1158/1538-7445.AM2023-4560  

   Tian, Yuan; Kim, Yongwoon; Seeto, Wen J; Pradhan, Shantanu; Minond, Dmitriy; Pulak, Rock; Lipke, Elizabeth A (April 2023, Cancer Research)

   For drug discovery, new in vitro cancer models are needed to obtain more translatable study outcomes in a low-cost and high-throughput manner. For this purpose, 3D cancer spheroids have been established as more effective than 2D models. Current commercial techniques, however, rely heavily on self-aggregation of dissociated cells and cannot replicate key features of the native tumor microenvironment, particularly due to a lack of control over extracellular matrix components and heterogeneity in size and aggregate-forming tendencies. Also, current spheroidal techniques are typically limited to one spheroid per well, therefore providing a narrow range of cell numbers per well, disadvantageous for assay development in drug screening. Here, we overcome these challenges by coupling tissue engineering toolsets with microfluidic technologies to create engineered cancer microspheres and sorting desired numbers of microspheres into assay-ready well-plate format. To form the engineered cancer microspheres, MCF7 (non-metastatic) and MDA-MB-231 (metastatic) breast cancer cells were encapsulated within poly(ethylene glycol)-fibrinogen hydrogels using our previously developed microfluidic platform. Highly uniform cancer microspheres (intra and inter-batch coefficient of variation ≤ 5%) with high cell densities (over 20 × 106 cells/ml) were produced rapidly, which is critical for use in drug testing. The microspheres supported the 3D culture of both breast cancer cell lines over at least 14 days in culture. Encapsulated cells displayed cell type-specific differences in morphology, proliferation, metabolic activity, ultrastructure, and overall microsphere size distribution and bulk stiffness. To prepare assay-ready pre-plated microspheres, a COPAS FP flow cytometer was used for its ability to analyze and sort large sample particles such as tumor spheroids and hydrogel cancer microspheres generated in this study. When using a 96-well plate, the sorting rate varied from 2.5 - 6 microspheres per second, depending on the sample concentration. When sorting a desired number of microspheres per well, the accuracy was greater than 95% as verified visually by microscopy. Viability of sorted microspheres was verified 24 hours post-sort. Shipping conditions were established that maintained cell viability for remote use in drug testing. Methods for compound addition by pinning and imaging were tested and optimized. Using these approaches, the microsphere system was shown to be compatible with an automated liquid handling system for administration of drug compounds; MDA-MB-231 microspheres were distributed in 384 well plates and treated with chemotherapeutic drugs. Expected responses were quantitated using CellTiter-Glo® 3D and detected using automated imaging. Overall, our results demonstrate initial applicability for the tissue-engineered cancer microspheres for drug screening. 

   more » « less
4. Photodegradable Hydrogels for Rapid Screening, Isolation, and Genetic Characterization of Bacteria with Rare Phenotypes

   https://doi.org/10.1021/acs.biomac.0c00543  

   Fattahi, Niloufar; Nieves-Otero, Priscila A.; Masigol, Mohammadali; van der Vlies, André J.; Jensen, Reilly S.; Hansen, Ryan R.; Platt, Thomas G. (June 2020, Biomacromolecules)

   Screening mutant libraries (MLs) of bacteria for strains with specific phenotypes is often a slow and laborious process that requires assessment of tens of thousands of individual cell colonies after plating and culturing on solid media. In this report, we develop a three-dimensional, photodegradable hydrogel interface designed to dramatically improve the throughput of ML screening by combining high-density cell culture with precision extraction and the recovery of individual, microscale colonies for follow-up genetic and phenotypic characterization. ML populations are first added to a hydrogel precursor solution consisting of polyethylene glycol (PEG) o-nitrobenzyl diacrylate and PEG-tetrathiol macromers, where they become encapsulated into 13 μm thick hydrogel layers at a density of 90 cells/mm^2, enabling parallel monitoring of 2.8 × 10^4 mutants per hydrogel. Encapsulated cells remain confined within the elastic matrix during culture, allowing one to track individual cells that grow into small, stable microcolonies (45 ± 4 μm in diameter) over the course of 72 h. Colonies with rare growth profiles can then be identified, extracted, and recovered from the hydrogel in a sequential manner and with minimal damage using a high-resolution, 365 nm patterned light source. The light pattern can be varied to release motile cells, cellular aggregates, or microcolonies encapsulated in protective PEG coatings. To access the benefits of this approach for ML screening, an Agrobacterium tumefaciens C58 transposon ML was screened for rare, resistant mutants able to grow in the presence of cell free culture media from Rhizobium rhizogenes K84, a well-known inhibitor of C58 cell growth. Subsequent genomic analysis of rare cells (9/28,000) that developed into microcolonies identified that seven of the resistant strains had mutations in the acc locus of the Ti plasmid. These observations are consistent with past research demonstrating that the disruption of this locus confers resistance to agrocin 84, an inhibitory molecule produced by K84. The high-throughput nature of the screen allows the A. tumefaciens genome (approximately 5.6 Mbps) to be screened to saturation in a single experimental trial, compared to hundreds of platings required by conventional plating approaches. As a miniaturized version of the gold-standard plating assay, this materials-based approach offers a simple, inexpensive, and highly translational screening technique that does not require microfluidic devices or complex liquid handling steps. The approach is readily adaptable to other applications that require isolation and study of rare or phenotypically pure cell populations. 

   more » « less
5. Three-dimensional models of breast cancer–fibroblasts interactions

   https://doi.org/10.1177/1535370220917366  

   Singh, Sunil; Tran, Sydnie; Putman, Justin; Tavana, Hossein (May 2020, Experimental Biology and Medicine)

   Tumor microenvironment is a complex niche consisting of cancer cells and stromal cells in a network of extracellular matrix proteins and various soluble factors. Dynamic interactions among cellular and non-cellular components of the tumor microenvironment regulate tumor initiation and progression. Fibroblasts are the most abundant stromal cell type and dynamically interact with cancer cells both in primary tumors and in metastases. Cancer cells activate resident fibroblasts to produce and secrete soluble signaling molecules that support proliferation, migration, matrix invasion, and drug resistance of cancer cell and tumor angiogenesis. In recent years, various forms of three-dimensional tumor models have been developed to study tumor–stromal interactions and to identify anti-cancer drugs that block these interactions. There is currently a technological gap in development of tumor models that are physiologically relevant, scalable, and allow convenient, on-demand addition of desired components of the tumor microenvironment. In this review, we discuss three studies from our group that focus on developing bioengineered models to study tumor-stromal signaling. We will present these studies chronologically and based on their increasing complexity. We will discuss the validation of the models using a CXCL12-CXCR4 chemokine-receptor signaling present among activated fibroblasts and breast cancer cells in solid tumors, highlight the advantages and shortcomings of the models, and conclude with our perspectives on their applications. Impact statement Tumor stroma plays an important role in progression of cancers to a fatal metastatic disease. Modern treatment strategies are considering targeting tumor stroma to improve outcomes for cancer patients. A current challenge to develop stroma-targeting therapeutics is the lack of preclinical physiologic tumor models. Animal models widely used in cancer research lack human stroma and are not amenable to screening of chemical compounds for cancer drug discovery. In this review, we outline in vitro three-dimensional tumor models that we have developed to study the interactions among cancer cells and stromal cells. We describe development of the tumor models in a modular fashion, from a spheroid model to a sophisticated organotypic model, and discuss the importance of using correct physiologic models to recapitulate tumor-stromal signaling. These biomimetic tumor models will facilitate understanding of tumor-stromal signaling biology and provide a scalable approach for testing and discovery of cancer drugs. 

   more » « less