Deferasirox Decreases Liver Iron Concentration in Iron-Overloaded Patients with Myelodysplastic Syndromes, Aplastic Anemia and Other Rare Anemias.

Iron overload in transfusion-dependent patients with rare anemias can be managed with chelation therapy. This study evaluated deferasirox efficacy and safety in patients with myelodysplastic syndromes (MDS), aplastic anemia (AA) or other rare anemias. A 1-year, open-label, multicenter, single-arm, phase II trial was performed with deferasirox (10­40 mg/kg/day, based on transfusion frequency and therapeutic goals), including an optional 1-year extension. The primary end point was a change in liver iron concentration (LIC) after 1 year. Secondary end points included changes in efficacy and safety parameters (including ophthalmologic assessments) overall as well as in a Japanese subpopulation. Overall, 102 patients (42 with MDS, 29 with AA and 31 with other rare anemias) were enrolled; 57 continued into the extension. Mean absolute change in LIC was ­10.9 mg Fe/g dry weight (d.w.) after 1 year (baseline: 24.5 mg Fe/g d.w.) and ­13.5 mg Fe/g d.w. after 2 years. The most common drug-related adverse event was increased serum creatinine (23.5%), predominantly in MDS patients. Four patients had suspected drug-related ophthalmologic abnormalities. Outcomes in Japanese patients were generally consistent with the overall population. Results confirm deferasirox efficacy in patients with rare anemias, including a Japanese subpopulation. The safety profile was consistent with previous studies and ophthalmologic parameters generally agreed with baseline values (EUDRACT 2006-003337-32).

Capmatinib plus nazartinib in patients with EGFR-mutated non-small cell lung cancer.

PURPOSE: This phase 1b/2 trial evaluated the efficacy and safety of capmatinib plus nazartinib in patients with advanced EGFR-mutated non-small cell lung cancer (NSCLC). METHODS: In phase 1b, patients with progression on first-/second-generation EGFR-TKIs received escalating doses of capmatinib 200-400 mg bid plus nazartinib 50-150 mg qd. Once the MTD/RP2D was declared, phase 2 commenced with patient enrollment into groups according to mutation status and prior lines of treatment: group 1 (fasted; EGFR-TKI resistant; 1-3 prior lines; EGFRL858R/ex19del; any T790M/MET); group 2 (fasted; EGFR-TKI naïve; 0-2 prior lines; de novo T790M+; any MET); group 3 (fasted; treatment-naïve; EGFRL858R/ex19del; T790M-; any MET); group 4 (with food; 0-2 prior lines; EGFRL858R/ex19del; any T790M/MET). Primary endpoints in phase 2 were investigator-assessed overall response rate (ORR) per RECIST v1.1 (groups 1-3), safety, and tolerability of the combination with food (group 4). Efficacy was assessed by T790M and MET status for a subgroup of patients. RESULTS: The RP2D was capmatinib 400 mg bid plus nazartinib 100 mg qd. In phase 2 (n = 144), the ORR was 28.8 %, 33.3 %, 61.7 %, and 42.9 % in groups 1 (n = 52), 2 (n = 3), 3 (n = 47), and 4 (n = 42), respectively. In group 1 +phase 1b RP2D, the ORR was 45.8 %, 26.2 %, 37.9 %, and 32.4 % in MET+ (n = 24), MET- (n = 42), T790M+ (n = 29), and T790M- (n = 34) patients. Most common any-grade treatment-related adverse events (≥25 %; n = 144) were peripheral edema (54.9 %), nausea (41.7 %), diarrhea (34.0 %), and maculopapular rash (25.0 %). CONCLUSION: Capmatinib plus nazartinib showed antitumor activity in patients with EGFR-TKI-resistant, EGFR-mutated NSCLC. The overall safety profile was acceptable. CLINICAL TRIAL REGISTRATION: ClinicalTrials.gov NCT02335944.

Phase Ib/II Study of Capmatinib (INC280) Plus Gefitinib After Failure of Epidermal Growth Factor Receptor (EGFR) Inhibitor Therapy in Patients With EGFR-Mutated, MET Factor-Dysregulated Non-Small-Cell Lung Cancer.

PURPOSE: MET dysregulation occurs in up to 26% of non-small-cell lung cancers (NSCLCs) after epidermal growth factor receptor (EGFR)-tyrosine kinase inhibitor (TKI) treatment. Capmatinib (INC280) is a potent and selective MET inhibitor with preclinical activity in combination with gefitinib in EGFR-mutant, MET-amplified/overexpressing models of acquired EGFR-TKI resistance. This phase Ib/II study investigated the safety and efficacy of capmatinib plus gefitinib in patients with EGFR-mutated, MET-dysregulated (amplified/overexpressing) NSCLC who experienced disease progression while receiving EGFR-TKI treatment. METHODS: Patients in phase Ib received capmatinib 100- to 800-mg capsules once per day or 200- to 600-mg capsules or tablets twice per day, plus gefitinib 250 mg once per day. Patients in phase II received the recommended phase II dose. The primary end point was the overall response rate (ORR) per Response Evaluation Criteria in Solid Tumors (RECIST) version 1.1. RESULTS: Sixty-one patients were treated in phase Ib, and 100 were treated in phase II. The recommended phase II dose was capmatinib 400 mg twice per day plus gefitinib 250 mg once per day. Preliminary clinical activity was observed, with an ORR across phase Ib/II of 27%. Increased activity was seen in patients with high MET-amplified tumors, with a phase II ORR of 47% in patients with a MET gene copy number ≥ 6. Across phases Ib and II, the most common drug-related adverse events were nausea (28%), peripheral edema (22%), decreased appetite (21%), and rash (20%); the most common drug-related grade 3/4 adverse events were increased amylase and lipase levels (both 6%). No significant drug-drug interactions between capmatinib and gefitinib were evident. CONCLUSION: This study, focused on a predominant EGFR-TKI resistance mechanism in patients with EGFR-mutated NSCLC, shows that the combination of capmatinib with gefitinib is a promising treatment for patients with EGFR-mutated, MET-dysregulated NSCLC, particularly MET-amplified disease.

Calculating sample size bounds for logistic regression.

The calculation of a study's required sample size is one of the most important aspects of the validity of an epidemiological study. Logistic regression often is used in modelling in epidemiology. A simplified method to calculate the sample size for the multiple logistic-regression model was proposed by Hsieh et al. [Stat. Med. 17 (1998) 1623]. The approach for estimating the sample size is described and then applied in the planning of an epidemiological cross-sectional study of the associations of different risk factors with Toxoplasma infection among pregnant women. Although the method demands some additional information which is often difficult to obtain, it is a very useful tool in veterinary epidemiology.

Shiga toxin-producing Escherichia coli infection in Germany: different risk factors for different age groups.

The authors conducted a matched case-control study in Germany to identify risk factors for sporadic illness associated with Shiga toxin-producing Escherichia coli (STEC) infection, regardless of serogroup. From April 2001 through March 2003, cases were prospectively enrolled through a laboratory-based sentinel surveillance system located in 14 of the 16 German federal states. One control was identified per case, matched by age and region. Conditional logistic regression was used in the analysis, which was conducted separately for three age groups (<3 years, 3-9 years, and > or =10 years). The median age of the 202 enrolled cases was 2.5 years (range, 3 months-89 years). Hemolytic uremic syndrome developed in five patients. Non-O157 strains accounted for 85% of the isolated STEC. In children under 3 years of age, having touched a ruminant had the highest odds of disease, and raw milk was the only food identified as a risk factor. In contrast, in persons aged 10 years or older, only food items (i.e., lamb meat, raw spreadable sausages) were significantly associated with illness. In this study, risk factors were age-specific. Direct transmission through food played a lesser role in children under 3 years of age, the population at greatest risk of both acquiring STEC infection and developing hemolytic uremic syndrome.

[Maximum Likelihood classification rule for assessing acute toxicity]

As an alternative to the Acute Toxic Class method a simple procedure for the classification of substances into toxicity classes based on the maximum likelihood principle is proposed. The number of experimental animals needed as well as the reliability of the classification is similar to that of the ATC method. In the case of true LD50 values of 2000 mg/kg body weight and above it even is considerably better.