5 research outputs found

    Symptom fluctuations and daily physical activity in patients with chronic fatigue syndrome: a case-control study

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    Objectives: To compare the activity pattern of patients with chronic fatigue syndrome (CFS) with healthy sedentary subjects and examine the relationship between the different parameters of performed activity (registered by an accelerometer device) and symptom severity and fluctuation (registered by questionnaires) in patients with CFS. Design: Case-control study. Participants were asked to wear an accelerometer device on the nondominant hand for 6 consecutive days. Every morning, afternoon, and evening patients scored the intensity of their pain, fatigue, and concentration difficulties on a visual analog scale. Setting: Patients were recruited from a specialized chronic fatigue clinic in the university hospital, where all subjects were invited for 2 appointments (for questionnaire and accelerometer adjustments). In between, activity data were collected in the subject's normal home environment. Participants: Female patients (n=67) with CFS and female age-matched healthy sedentary controls. Interventions: Not applicable. Main Outcome Measures: Accelerometry (average activity counts, peak activity counts, ratio peak/average, minutes spent per activity category) and symptom severity (intensity of pain, fatigue, and concentration difficulties). Results: Patients with CFS were less active, spent more time sedentary, and less time lightly active (P.05), peak activity, and the staggering of activities (ratio peak/average) on 1 day were not different between groups (P>.05). Negative correlations (-.242 varying to -.307) were observed for sedentary activity and the ratio with symptom severity and variation on the same and the next day. Light, moderate, and vigorous, as well as the average activity and the peak activity, were positively correlated (.242 varying to .421) with symptom severity and variation. Conclusions: The more patients with CFS are sedentary and the better activity is dispersed, the fewer symptoms and variations they experience on the same and next day. Inversely, more symptoms and variability is experienced when patients were more active that day or the previous day. The direction of these relations cannot be determined in a cross-sectional study and requires further study

    Depleting MET-expressing tumor cells by ADCC provides a therapeutic advantage over inhibiting HGF/MET signaling

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    International audienceHepatocyte growth factor (HGF) and its receptor MET represent validated targets for cancer therapy. However, HGF/MET inhibitors being explored as cancer therapeutics exhibit cytostatic activity rather than cytotoxic activity, which would be more desired. In this study, we engineered an antagonistic anti-MET antibody that, in addition to blocking HGF/MET signaling, also kills MET-overexpressing cancer cells by antibody-dependent cellular cytotoxicity (ADCC). As a control reagent, we engineered the same antibody in an ADCC-inactive form that is similarly capable of blocking HGF/MET activity, but in the absence of any effector function. In comparing these two antibodies in multiple mouse models of cancer, including HGF-dependent and -independent tumor xenografts, we determined that the ADCC-enhanced antibody was more efficacious than the ADCC-inactive antibody. In orthotopic mammary carcinoma models, ADCC enhancement was crucial to deplete circulating tumor cells and to suppress metastases. Prompted by these results, we optimized the ADCC-enhanced molecule for clinical development, generating an antibody (ARGX-111) with improved pharmacologic properties. ARGX-111 competed with HGF for MET binding, inhibiting ligand-dependent MET activity, downregulated cell surface expression of MET, curbing HGF-independent MET activity, and engaged natural killer cells to kill MET-expressing cancer cells, displaying MET-specific cytotoxic activity. ADCC assays confirmed the cytotoxic effects of ARGX-111 in multiple human cancer cell lines and patient-derived primary tumor specimens, including MET-expressing cancer stem-like cells. Together, our results show how ADCC provides a therapeutic advantage over conventional HGF/MET signaling blockade and generates proof-of-concept for ARGX-111 clinical testing in MET-positive oncologic malignancies. (C) 2015 AACR
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