28 research outputs found

    Single Cell Profiling of Circulating Tumor Cells: Transcriptional Heterogeneity and Diversity from Breast Cancer Cell Lines

    Get PDF
    BACKGROUND: To improve cancer therapy, it is critical to target metastasizing cells. Circulating tumor cells (CTCs) are rare cells found in the blood of patients with solid tumors and may play a key role in cancer dissemination. Uncovering CTC phenotypes offers a potential avenue to inform treatment. However, CTC transcriptional profiling is limited by leukocyte contamination; an approach to surmount this problem is single cell analysis. Here we demonstrate feasibility of performing high dimensional single CTC profiling, providing early insight into CTC heterogeneity and allowing comparisons to breast cancer cell lines widely used for drug discovery. METHODOLOGY/PRINCIPAL FINDINGS: We purified CTCs using the MagSweeper, an immunomagnetic enrichment device that isolates live tumor cells from unfractionated blood. CTCs that met stringent criteria for further analysis were obtained from 70% (14/20) of primary and 70% (21/30) of metastatic breast cancer patients; none were captured from patients with non-epithelial cancer (n = 20) or healthy subjects (n = 25). Microfluidic-based single cell transcriptional profiling of 87 cancer-associated and reference genes showed heterogeneity among individual CTCs, separating them into two major subgroups, based on 31 highly expressed genes. In contrast, single cells from seven breast cancer cell lines were tightly clustered together by sample ID and ER status. CTC profiles were distinct from those of cancer cell lines, questioning the suitability of such lines for drug discovery efforts for late stage cancer therapy. CONCLUSIONS/SIGNIFICANCE: For the first time, we directly measured high dimensional gene expression in individual CTCs without the common practice of pooling such cells. Elevated transcript levels of genes associated with metastasis NPTN, S100A4, S100A9, and with epithelial mesenchymal transition: VIM, TGFß1, ZEB2, FOXC1, CXCR4, were striking compared to cell lines. Our findings demonstrate that profiling CTCs on a cell-by-cell basis is possible and may facilitate the application of 'liquid biopsies' to better model drug discovery

    Autoantibody Production in Cancer—The Humoral Immune Response toward Autologous Antigens in Cancer Patients

    Get PDF
    A link between autoimmune responses and cancer via autoantibodies was first described in the 1950s. Since, autoantibodies have been studied for their potential use as cancer biomarkers, however the exact causes of their production remain to be elucidated. This review summarizes current theories of the causes of autoantibody production in cancer, namely: 1) defects in tolerance and inflammation, 2) changes in protein expression levels, 3) altered protein structure, and 4) cellular death mechanisms. We also highlight the need for further research into this field to improve our understanding of autoantibodies as biomarkers for cancer development and progression

    Effects of Information Privacy Policies on Customers’ Willingness to transact with Online Vendors

    No full text
    Organizations operating in the information age need to refine their understanding of the effects of organizational policies regarding personal information management on customers’ willingness to transact with online vendors. This research employed a 2x2x2 within-subjects experimental design to test the effects of three organizational information management strategy variables on customers’ willingness to transact with online vendors. The three strategy variables presented to customers through privacy policies are: (1) seeking customers’ informed consent, (2) giving customers the ability to limit data sharing, and (3) giving customers the ability to limit secondary use of data. Analyses of data collected from customers support the three hypothesized main effects which are all positive

    Contemporary Mobile Commerce: Determinants of Its Adoption

    No full text
    Mobile commerce is the next generation of electronic commerce that allows consumers to perform many transactions via a mobile phone instead of a desktop computer. To online businesses, this commerce channel also allows them to have almost non-stop accessibility to a large population of mobile device users. This study examines the factors affecting intention to use contemporary mobile commerce on the basis of integrating perceived security, subjective norm, innovativeness, and self-efficacy into the TAM model. Statistical analysis results show that self-efficacy and innovativeness are positively related to perceived ease of use. Perceived ease of use has a positive effect on perceived usefulness. Perceived ease of use, perceived usefulness, perceived security, and subjective norm have a positive relationship with intention to use mobile commerce. The theoretical and practical implications are discussed. Finally, future research directions are outlined
    corecore