19 research outputs found

    Why fencers should bounce: a new method of movement to engage the stretch-shortening cycle

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    While teaching a heel first contact style of footwork in fencing (also referred to as toe contribution avoidance) is in keeping with long standing traditions, it is not conducive to today’s modern style of fast paced and explosive fencing. Equally, fencers towards the elite-end seem to be gradually adopting a more spring-based style, as their body progressively and organically transitions to “ball of the foot” based footwork, in order for them to fence competitively in the manner they have intuitively associated with success. Therefore, if from a young age fencers are taught to make full use of the stretch shortening cycle (SSC) via “bouncing” or simply by initiating movement via the ball of the foot, this will expedite the learning process. It will demonstrate to them how the SSC can be used to move at greater speed, cover greater distances when advancing, retreating and lunging, and conserve the much-needed energy required to compete over day long competitions. This paper details the mechanistic underpinnings of the SSC and its application to the modern day fencer

    Phase II randomized study of the IGF-1R pathway modulator AXL1717 compared to docetaxel in patients with previously treated, locally advanced or metastatic non-small cell lung cancer

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    Background: The primary objective of this study was to compare the progression-free survival (PFS) at 12 weeks between patients treated with IGF-1R pathway modulator AXL1717 (AXL) and patients treated with docetaxel (DCT). Material and methods: The study was conducted at 19 study centers in five countries. A total of 99 patients with previously treated, locally advanced or metastatic non-small cell lung cancer (NSCLC) of the squamous cell carcinoma (SCC) or adenocarcinoma (AC) subtypes in need of additional treatment were randomized and treated with either 300 or 400 mg of AXL as daily BID treatment (58 patients) or DCT given as 75 mg/m2 in three-week cycles (41 patients) as monotherapy in a 3:2 ratio for each NSCLC subtype. Patients were treated in the primary study treatment period for a maximum of four treatment cycles. Results: The 12-week PFS rate, median PFS and overall survival (OS), as well Kaplan-Meier hazard ratio for PFS and OS, did not show any statistically significant differences between the treatment groups. For the primary endpoint, the AXL group had a lower percentage of patients (25.9%) who were progression-free at Week 12 as compared to the DCT group (39.0%), although the difference was not statistically significant. The most notable difference in the incidence of treatment emergent adverse effects (TEAEs) was the lower incidence of treatment-related grade 3/4 neutropenia in patients treated with AXL. Conclusion: These results suggest neither of the treatments to be superior of the other when treating locally advanced or metastatic NSCLC. Considering the lower incidence of grade 3/4 neutropenia in the AXL group this treatment warrants further research

    Melflufen or pomalidomide plus dexamethasone for patients with multiple myeloma refractory to lenalidomide (OCEAN): a randomised, head-to-head, open-label, phase 3 study

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    Background Melphalan flufenamide (melflufen), an alkylating peptide-drug conjugate, plus dexamethasone showed clinical activity and manageable safety in the phase 2 HORIZON study. We aimed to determine whether melflufen plus dexamethasone would provide a progression-free survival benefit compared with pomalidomide plus dexamethasone in patients with previously treated multiple myeloma. Methods In this randomised, open-label, head-to-head, phase 3 study (OCEAN), adult patients (aged ≥18 years) were recruited from 108 university hospitals, specialist hospitals, and community-based centres in 21 countries across Europe, North America, and Asia. Eligible patients had an ECOG performance status of 0–2; must have had relapsed or refractory multiple myeloma, refractory to lenalidomide (within 18 months of randomisation) and to the last line of therapy; and have received two to four previous lines of therapy (including lenalidomide and a proteasome inhibitor). Patients were randomly assigned (1:1), stratified by age, number of previous lines of therapy, and International Staging System score, to either 28-day cycles of melflufen and dexamethasone (melflufen group) or pomalidomide and dexamethasone (pomalidomide group). All patients received dexamethasone 40 mg orally on days 1, 8, 15, and 22 of each cycle. In the melflufen group, patients received melflufen 40 mg intravenously over 30 min on day 1 of each cycle and in the pomalidomide group, patients received pomalidomide 4 mg orally daily on days 1 to 21 of each cycle. The primary endpoint was progression-free survival assessed by an independent review committee in the intention-to-treat (ITT) population. Safety was assessed in patients who received at least one dose of study medication. This study is registered with ClinicalTrials.gov, NCT03151811, and is ongoing. Findings Between June 12, 2017, and Sept 3, 2020, 246 patients were randomly assigned to the melflufen group (median age 68 years [IQR 60–72]; 107 [43%] were female) and 249 to the pomalidomide group (median age 68 years [IQR 61–72]; 109 [44%] were female). 474 patients received at least one dose of study drug (melflufen group n=228; pomalidomide group n=246; safety population). Data cutoff was Feb 3, 2021. Median progression-free survival was 6·8 months (95% CI 5·0–8·5; 165 [67%] of 246 patients had an event) in the melflufen group and 4·9 months (4·2–5·7; 190 [76%] of 249 patients had an event) in the pomalidomide group (hazard ratio [HR] 0·79, [95% CI 0·64–0·98]; p=0·032), at a median follow-up of 15·5 months (IQR 9·4–22·8) in the melflufen group and 16·3 months (10·1–23·2) in the pomalidomide group. Median overall survival was 19·8 months (95% CI 15·1–25·6) at a median follow-up of 19·8 months (IQR 12·0–25·0) in the melflufen group and 25·0 months (95% CI 18·1–31·9) in the pomalidomide group at a median follow-up of 18·6 months (IQR 11·8–23·7; HR 1·10 [95% CI 0·85–1·44]; p=0·47). The most common grade 3 or 4 treatment-emergent adverse events were thrombocytopenia (143 [63%] of 228 in the melflufen group vs 26 [11%] of 246 in the pomalidomide group), neutropenia (123 [54%] vs 102 [41%]), and anaemia (97 [43%] vs 44 [18%]). Serious treatment-emergent adverse events occurred in 95 (42%) patients in the melflufen group and 113 (46%) in the pomalidomide group, the most common of which were pneumonia (13 [6%] vs 21 [9%]), COVID-19 pneumonia (11 [5%] vs nine [4%]), and thrombocytopenia (nine [4%] vs three [1%]). 27 [12%] patients in the melflufen group and 32 [13%] in the pomalidomide group had fatal treatment-emergent adverse events. Fatal treatment-emergent adverse events were considered possibly treatment related in two patients in the melflufen group (one with acute myeloid leukaemia, one with pancytopenia and acute cardiac failure) and four patients in the pomalidomide group (two patients with pneumonia, one with myelodysplastic syndromes, one with COVID-19 pneumonia). Interpretation Melflufen plus dexamethasone showed superior progression-free survival than pomalidomide plus dexamethasone in patients with relapsed or refractory multiple myeloma.Oncopeptides ABPeer reviewe

    Real-world cost-effectiveness of targeted therapy in metastatic renal cell carcinoma in Sweden : a population-based retrospective analysis

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    Objective: To explore cost-effectiveness of targeted therapies (TTs) in the treatment of metastatic renal cell carcinoma (mRCC) in a real-world context using a nationwide population-based approach. Methods: Data on patients diagnosed with mRCC between 2002 and 2012 were extracted from Swedish national health data registers. To facilitate comparisons of patients diagnosed before and after TT introduction to the market, three cohorts were derived: pre-TT introduction (preTT), patients diagnosed 2002–2005; early TT introduction (TTi), patients diagnosed 2006–2008; and late TT introduction (TTii), which was limited to patients diagnosed 2009–2010 to ensure availability of total health care resource utilization (HCRU) data. Patients were followed until end of 2012. The value of TTs across cohorts was estimated using mean HCRU costs per life-year (LY) gained. Data on HCRU were obtained through national health registers for dispensed medication and inpatient and outpatient care, and the associated costs were estimated using the Lin method to account for censoring. LYs gained were defined as the difference in mean survival over the study period. Results: The preTT, TTi, and TTii cohorts consisted of 1,366, 1,158, and 806 patients, respectively. Mean survival in years from mRCC diagnosis was 1.45 in the preTT cohort, 1.62 in the TTi cohort, and 1.83 in the TTii cohort. The respective mean total HCRU cost per patient over the study period was US16,894,US16,894, US29,922, and US30,037.ThecostperLYgainedpercohortwasUS30,037. The cost per LY gained per cohort was US78,656 for TTi vs preTT, US34,132forTTiivspreTT,andUS34,132 for TTii vs preTT, and US523 for TTii vs TTi. Conclusion: Given common willingness-to-pay per LY gained thresholds, this study in a real-world population suggests the use of TTs in the Swedish mRCC population is increasingly cost-effective over time

    Detection of pancreatic cancer using antibody microarray-based serum protein profiling

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    The driving force behind oncoproteomics is to identify protein signatures that are associated with a particular malignancy. Here, we have used a recombinant scFv antibody microarray in an attempt to classify sera derived from pancreatic adenocarcinoma patients versus healthy subjects. Based on analysis of nonfractionated, directly labeled, whole human serum proteomes we have identified a protein signature based on 19 nonredundant analytes, that discriminates between cancer patients and healthy subjects. Furthermore, a potential protein signature, consisting of 21 protein analytes, could be defined that was shown to be associated with cancer patients having a life expectancy of <12 months. Taken together, the data suggest that antibody microarray analysis of complex proteomes will be a useful tool to define disease associated protein signatures
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