41 research outputs found

    Cardiac magnetic resonance imaging-based myocardial strain study for evaluation of cardiotoxicity in breast cancer patients treated with trastuzumab: A pilot study to evaluate the feasibility of the method

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    Background: Trastuzumab, used to treat breast cancer overexpressing human epidermal growth factor receptor 2, may be cardiotoxic. Cardiac magnetic resonance (CMR) imaging with myocardial strain studies has been used to evaluate subclinical biventricular myocardial changes, however, its clinical utility during chemotherapy has not been evaluated. Methods: The clinical outcomes, CMR and cardiac biomarkers of 9 women aged 62.3 ± 12.6 years with early or locally advanced breast cancer were evaluated at baseline, and at 3, 6 and 12 months after the initiation of trastuzumab. Results: None of the patients developed heart failure or elevated serum cardiac biomarkers. Global left ventricular (LV) peak systolic longitudinal and circumferential strains were significantly decreased at 6 months (longitudinal strains, –21.1 ± 1.7% [baseline] vs. –19.5 ± 1.0% [6 months], p = 0.039, and circumferential strains, –23.4 ± 1.8% [baseline] vs. –21.6 ± 2.5% [6 months], p = 0.036). These changes were analogous to those observed in the LV ejection fraction. Right ventricular (RV) free wall peak systolic circumferential strains were decreased at 6 months (–20.9% ± 2.4% [baseline] vs. –19.1% ± 2.3% [6 months], p = 0.049), whereas RV longitudinal strains and ejection fraction remained unchanged. The LV longitudinal strain was the most reproducible of the 4 peak strain parameters. Conclusions: The LV longitudinal and circumferential strains measured by CMR decreased during trastuzumab therapy, although their predictive value for later heart failure or association with RV parameters was not determined. These techniques may be a useful means of diagnosing and monitoring trastuzumab-related cardiotoxicity

    Administration of VEGF receptor tyrosine kinase inhibitor increases VEGF production causing angiogenesis in human small-cell lung cancer xenografts

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    publisherAngiogenesis is mediated mainly by vascular endothelial growth factor (VEGF), and VEGF causes rapid growth in cancers, including human small-cell lung cancer (SCLC). The anti-angiogenic strategy of treating cancer using VEGF receptor (VEGFR) inhibition is currently of great interest. We tested the effects of the VEGFR2 tyrosine kinase inhibitor (TKI) vandetanib on the proliferation of two kinds of SCLC cell lines: SBC-1 cells, with detectable VEGFR2 expression and MS-1-L cells, without detectable VEGFR2 expression. To evaluate the anti-tumor and anti-angiogenic effects of vandetanib in vivo, we grafted SBC-1 and MS-1-L cells into mice. After a 3-week treatment, we measured the tumor size and histologically evaluated necrosis and apoptosis using H&E and TUNEL staining, respectively. The microvessels in the xenografts were also quantified by immunostaining of CD31. Vandetanib did not affect the proliferation of SBC-1 cells, but stimulated the growth of MS-1-L cells. In the SCLC xenograft model, vandetanib inhibited growth and tumor angiogenesis in a dose-dependent manner in SBC-1 xenografts. Vandetanib inhibited the growth of MS-1-L xenografts at a low dose (<12.5 mg/kg/day), but it did not affect tumor size or change microvessel counts at a higher dose. Interestingly, secretion of VEGF increased significantly in the MS-1-L cell line in the presence of a high dose of vandetanib in vitro. The effects of vandetanib on tumor angiogenesis were different in SBC-1 and MS-1-L cell lines. Production of angiogenic factors such as VEGF by the tumor potentially stimulates tumor angiogenesis and results in the acquisition of resistance to VEGFR TKI

    Highly sensitive detection of ALK resistance mutations in plasma using droplet digital PCR

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    Abstract Background On-target resistance mechanisms found in one-third of patients receiving anaplastic lymphoma kinase (ALK) tyrosine kinase inhibitors (TKIs) are secondary ALK mutations in ALK-rearranged non-small cell lung cancer (NSCLC). There are large variations in the resistant mutations, unlike the epithelial growth factor receptor (EGFR) T790 M seen with the use of EGFR-TKIs. Liquid biopsy approaches using cell-free DNA (cfDNA) are used for screening and monitoring of mutations in NSCLC. However, feasible protocol for the simultaneous detection of multiple secondary ALK mutations using droplet digital PCR (ddPCR) has not been developed. An efficient strategy using cfDNA in cancer diagnostics, the development of more accurate and cost-effective tools to identify informative multiple secondary ALK mutations is clinically required. Methods To establish a feasible assay to monitor ALK-TKI resistance mutations, we first evaluated the feasibility of ddPCR-based screening for cfDNA mutation detection of 10 distinct secondary ALK mutations. Positive samples were then re-analyzed using mutation-specific probes to track the growth of mutation clones with a high sensitivity. Results Blood samples from seven ALK-positive patients were analyzed using the ddPCR protocol. Secondary G1202R ALK mutations were identified in 2 of 7 patients by the screening assay. Using the mutation-specific probes, monitoring the resistant clone during the clinical course of the disease was well demonstrated in each of the patients. Conclusion The protocol for ddPCR-based liquid biopsy has a feasibility for the screening of secondary ALK-TKI resistance mutations and offers a tool for a cost-effective monitoring of progression in NSCLC

    Simulating Customer-to-Customer Interaction In a B2B Financial Service Business By Empirical Agent-Based Modeling

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    Service research has emphasized triad relationships between a firm, employees and customers. To coordinate these stakeholders effectively, it is highly important to understand what service activities are beneficial to all or some of these stakeholders. Yet, the recent increase in C2C interaction may make the problem more complex. This study proposes a methodology combining statistical techniques and agent-based modeling, which makes it possible to assess the joint impact of each service value and C2C interaction on the payoffs
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