12 research outputs found

    Evaluation of PD-L1 expression on vortex-isolated circulating tumor cells in metastatic lung cancer.

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    Metastatic non-small cell lung cancer (NSCLC) is a highly fatal and immunogenic malignancy. Although the immune system is known to recognize these tumor cells, one mechanism by which NSCLC can evade the immune system is via overexpression of programmed cell death ligand 1 (PD-L1). Recent clinical trials of PD-1 and PD-L1 inhibitors have returned promising clinical responses. Important for personalizing therapy, patients with higher intensity staining for PD-L1 on tumor biopsies responded better. Thus, there has been interest in using PD-L1 tumor expression as a criterion for patient selection. Currently available methods of screening involve invasive tumor biopsy, followed by histological grading of PD-L1 levels. Biopsies have a high risk of complications, and only allow sampling from limited tumor sections, which may not reflect overall tumor heterogeneity. Circulating tumor cell (CTC) PD-L1 levels could aid in screening patients, and could supplement tissue PD-L1 biopsy results by testing PD-L1 expression from disseminated tumor sites. Towards establishing CTCs as a screening tool, we developed a protocol to isolate CTCs at high purity and immunostain for PD-L1. Monitoring of PD-L1 expression on CTCs could be an additional biomarker for precision medicine that may help in determining response to immunotherapies

    Classification of large circulating tumor cells isolated with ultra-high throughput microfluidic Vortex technology.

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    Circulating tumor cells (CTCs) are emerging as rare but clinically significant non-invasive cellular biomarkers for cancer patient prognosis, treatment selection, and treatment monitoring. Current CTC isolation approaches, such as immunoaffinity, filtration, or size-based techniques, are often limited by throughput, purity, large output volumes, or inability to obtain viable cells for downstream analysis. For all technologies, traditional immunofluorescent staining alone has been employed to distinguish and confirm the presence of isolated CTCs among contaminating blood cells, although cells isolated by size may express vastly different phenotypes. Consequently, CTC definitions have been non-trivial, researcher-dependent, and evolving. Here we describe a complete set of objective criteria, leveraging well-established cytomorphological features of malignancy, by which we identify large CTCs. We apply the criteria to CTCs enriched from stage IV lung and breast cancer patient blood samples using the High Throughput Vortex Chip (Vortex HT), an improved microfluidic technology for the label-free, size-based enrichment and concentration of rare cells. We achieve improved capture efficiency (up to 83%), high speed of processing (8 mL/min of 10x diluted blood, or 800 μL/min of whole blood), and high purity (avg. background of 28.8±23.6 white blood cells per mL of whole blood). We show markedly improved performance of CTC capture (84% positive test rate) in comparison to previous Vortex designs and the current FDA-approved gold standard CellSearch assay. The results demonstrate the ability to quickly collect viable and pure populations of abnormal large circulating cells unbiased by molecular characteristics, which helps uncover further heterogeneity in these cells

    Label Free Isolation and Molecular Analysis of Circulating Tumor Cells

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    Circulating Tumor Cells (CTCs) are important biomarkers for monitoring tumor dynamics and efficacy of cancer therapy. When these cells disseminate from tumors and enter the blood stream, they carry the tumor’s genetic and proteomic information. They are particularly attractive because they can be obtained in a minimally invasive manner. Using microfluidic devices, we can isolate these rare cells from the background of blood cells. Here we study clinically relevant use cases of these CTCs. We characterize two aspects of CTCs: i) the PD-L1 expression levels on CTCs from non-small cell lung cancer patients undergoing immunotherapy ii) the secretion of proteases as it relates to cancer metastasis. In the process of molecular profiling the CTCs, we use a novel label free Vortex isolation system. A modification to the original Vortex device enabled us to capture a wider size range of CTCs at a higher capture efficiency, uncovering further heterogeneity. This simple biophysical method opens doors for a range of downstream analysis.After CTC isolation, we test the hypothesis that tumor cells secrete proteolytic enzymes to facilitate tissue invasion and spread. Given recent work suggesting CTCs can be produced by early stage tumors, MMP production by CTCs could provide a more precise biomarker of the level of metastatic activity for the disease beyond a simple CTC count. We developed a unique integrated microfluidic system able to perform three functions:i) Isolate CTCs rapidly by size. ii) Exchange the fluid around CTCs to both remove contaminants, and introducea fluorogenic MMP-substrate. iii) Encapsulate purified CTCs into a small number of microdroplets to interrogate MMPs secreted at the single-CTC level.Total analysis from blood input to secretion assay takes minutes and preserves viability, making this system compatible with studying live cells while they retain physiologic conditions. We found that isolated CTCs from metastatic prostate cancer patients, identified through surface markers and nucleus size, release active MMPs. Assaying protease activity of circulating tumor cells will ultimately be important in uncovering the biology of metastasis and serve as a key component of future phenotypic liquid biopsies, potentially enabling companion diagnostics for MMP inhibitor therapies currently in clinical trials

    High-throughput physical phenotyping of cell differentiation.

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    In this report, we present multiparameter deformability cytometry (m-DC), in which we explore a large set of parameters describing the physical phenotypes of pluripotent cells and their derivatives. m-DC utilizes microfluidic inertial focusing and hydrodynamic stretching of single cells in conjunction with high-speed video recording to realize high-throughput characterization of over 20 different cell motion and morphology-derived parameters. Parameters extracted from videos include size, deformability, deformation kinetics, and morphology. We train support vector machines that provide evidence that these additional physical measurements improve classification of induced pluripotent stem cells, mesenchymal stem cells, neural stem cells, and their derivatives compared to size and deformability alone. In addition, we utilize visual interactive stochastic neighbor embedding to visually map the high-dimensional physical phenotypic spaces occupied by these stem cells and their progeny and the pathways traversed during differentiation. This report demonstrates the potential of m-DC for improving understanding of physical differences that arise as cells differentiate and identifying cell subpopulations in a label-free manner. Ultimately, such approaches could broaden our understanding of subtle changes in cell phenotypes and their roles in human biology
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