There are 4 clinical trials
This study is for patients who have stomach cancer or cancer of the lower part of the esophagus that has spread to other organs. There are many different chemotherapy treatments for this type of cancer. At the present time, there is no general agreement on the way to choose the most beneficial therapy for an individual patient. Patients with different genetic backgrounds may respond differently to the same chemotherapy treatments. In this study the investigators will use a certain genetic difference in an important gene (thymidylate synthase or TS gene) to see whether treating patients who have a particular type of that gene will respond better to a standard chemotherapy regimen. The investigators are hoping that by treating patients according to their genes, that they may respond to treatment of their cancer better and it will help the investigators choose cancer treatments better in the future.
This outcome looks at what genotypes of the MDR1 c.3435C>T (rs1045642) gene had a partial response.. Genetic Polymorphisms That May Alter Treatment Outcomes (Stable Disease).
This outcome looks at what genotypes of the MDR1 c.3435C>T (rs1045642) gene had stable disease.. Inclusion Criteria: - Patients must have histologically or cytologically confirmed adenocarcinoma of the stomach or gastroesophageal junction.
Description: ORR = complete response + partial response Complete response - disappearance of all target and non-target lesions Partial response - at least a 30% decrease in the sum of the longest diameter of target lesions, taking as reference the baseline sum longest diameter
Measure: Overall Response Rate (ORR) Time: 2 yearsDescription: Progressive disease - at least a 20% increase in the sum of the longest diameter (LD) of target lesions, taking as reference the smallest sum LD recorded since the treatment started or the appearance of one or more new lesions
Measure: Progression-free Survival (PFS) Time: 4 yearsDescription: DCR - complete response, partial response, and stable disease Complete response - disappearance of all target and non-target lesions Partial response - at least a 30% decrease in the sum of the longest diameter of target lesions, taking as reference the baseline sum longest diameter Stable disease - neither sufficient shrinkage to qualify for partial response not sufficient increase to qualify for progressive disease
Measure: Disease Control Rate (DCR) Time: 2 yearsDescription: This outcome looks at what genotypes of the TYMS 5'-UTR TSER + G>C (rs34743033) gene had a partial tumor response.
Measure: Genetic Polymorphisms That May Alter Treatment Outcomes (Partial Response) Time: 4 yearsDescription: This outcome looks at what genotypes of the TYMS 3'-UTR 1494delTTAAAG(6 bp) (rs34489327) gene had a partial tumor response.
Measure: Genetic Polymorphisms That May Alter Treatment Outcomes (Partial Response) Time: 4 yearsDescription: This outcome looks at what genotypes of the ERCC1 c.354C>T (rs11615) gene had a partial tumor response.
Measure: Genetic Polymorphisms That May Alter Treatment Outcomes (Partial Response) Time: 4 yearsDescription: This outcome looks at what genotypes of the ERCC2 c.2251A>C (rs13181) gene had a partial response.
Measure: Genetic Polymorphisms That May Alter Treatment Outcomes (Partial Response) Time: 4 yearsDescription: This outcome looks at what genotypes of the GSTP1 c.313A>G (rs1695) gene had a partial response.
Measure: Genetic Polymorphisms That May Alter Treatment Outcomes (Partial Response) Time: 4 yearsDescription: This outcome looks at what genotypes of the XRCC1 c.1196G>A (rs25487) gene had a partial response.
Measure: Genetic Polymorphisms That May Alter Treatment Outcomes (Partial Response) Time: 4 yearsDescription: This outcome looks at what genotypes of the MDR1 c.3435C>T (rs1045642) gene had a partial response.
Measure: Genetic Polymorphisms That May Alter Treatment Outcomes (Partial Response) Time: 4 yearsDescription: This outcome looks at what genotypes of the TYMS 5'-UTR TSER + G>C (rs34743033) gene had stable disease.
Measure: Genetic Polymorphisms That May Alter Treatment Outcomes (Stable Disease) Time: 4 yearsDescription: This outcome looks at what genotypes of the TYMS 3'-UTR 1494delTTAAAG(6 bp) (rs34489327) gene had stable disease.
Measure: Genetic Polymorphisms That May Alter Treatment Outcomes (Stable Disease) Time: 4 yearsDescription: This outcome looks at what genotypes of the ERCC1 c.354C>T (rs11615) gene had stable disease.
Measure: Genetic Polymorphisms That May Alter Treatment Outcomes (Stable Disease) Time: 4 yearsDescription: This outcome looks at what genotypes of the ERCC2 c.2251A>C (rs13181) gene had stable disease.
Measure: Genetic Polymorphisms That May Alter Treatment Outcomes (Stable Disease) Time: 4 yearsDescription: This outcome looks at what genotypes of the GSTP1 c.313A>G (rs1695) gene had stable disease.
Measure: Genetic Polymorphisms That May Alter Treatment Outcomes (Stable Disease) Time: 4 yearsDescription: This outcome looks at what genotypes of the XRCC1 c.1196G>A (rs25487) gene had stable disease.
Measure: Genetic Polymorphisms That May Alter Treatment Outcomes (Stable Disease) Time: 4 yearsDescription: This outcome looks at what genotypes of the MDR1 c.3435C>T (rs1045642) gene had stable disease.
Measure: Genetic Polymorphisms That May Alter Treatment Outcomes (Stable Disease) Time: 4 yearsThe efficacy and safety of antiretroviral therapy and the damage caused by chronic inflammation in the presence of the virus has recently lead to the consideration of initiating antiretroviral therapy earlier than what is required to prevent opportunistic diseases. Although there may be subtle differences, all recommended antiretroviral combinations for first-line therapy are considered equally effective. Nevertheless, treatment success requires high levels of adherence, which is linked to tolerability and the minimization of adverse effects. The genes coding the enzymes that are involved in the antiretroviral clearance pathways and the transmembrane transport of drugs are known. These genetic variations can determine the interindividual variations in plasma concentration with the same doses. Both pharmacogenomics (PG) and therapeutic drug monitoring (TDM) may contribute to the individualization of therapy in different chronic conditions through dosing optimization and are associated with a lower risk of concentration-dependent toxicity and potentially greater efficacy. The use of these strategies in the context of antiretroviral therapy is in early stage of development. Following, our main hypothesis is that PG + TDM dose adjustment of efavirenz or atazanavir in the initial antiretroviral treatment of naive patients with HIV infection is non-inferior in terms of efficacy, has improved safety, and shows a better cost/effectiveness profile than the standard approach with non adjusted doses. To evaluate our hypothesis we developed this multicenter randomized clinical trial, where patients from 4 clinical sites in Buenos Aires will be included in the protocol and randomized to standard of care (SOC) or pharmacological adaptation (PA) -PA: PG + TDM. For the pharmacogenomics determination, we developed a multiplex approach including main polymorphisms of CYP2B6, CYP2A6, CYP3A4 y ABCB1 for efavirenz; and UGT1A1, ABCB1 and CYP3A4 for atazanavir. Drug plasma levels will be analyzed with ultra-performance liquid chromatography (UPLC). The main outcomes are to establish the usefulness of PG and TDM in determining the efficacy, safety and cost/effectiveness of a first-line antiretroviral therapy containing either efavirenz or atazanavir in patients with HIV infection who have not received prior antiretroviral therapy.
PG for Efavirenz: Polymorphisms of CYP2B6 (rs3745274), CYP2A6 (rs28399433/rs8192726), CYP3A4, (rs4646437), CYP3A4*1B and ABCB1 (rs1045642).
Description: Number of days between obtention of study samples and availability of test results (turnaround time)
Measure: Feasibility of implementation of a multicenter study to analyze pharmacological adequation and therapeutic drug monitoring of efavirenz or atazanavir in the initial antiretroviral treatment of naive patients with HIV infection Time: 48 WeeksDescription: Pharmacological Adequation arm of efavirenz or atazanavir in the initial antiretroviral treatment of naive patients with HIV infection will show reduced frequency of adverse events when compared with the Standard Prescription arm.
Measure: Frequency of adverse events Time: 48 WeeksDescription: Pharmacological Adequation arm of efavirenz or atazanavir performs equally to the standard of care arm. Viral load at 48 weeks aimed to be non inferior between arms, analyzed through FDA-recommended Snapshot approach.
Measure: Efficacy of antiretroviral treatment Time: 48 weeksDescription: Pharmacological Adequation arm of efavirenz or atazanavir in the initial antiretroviral treatment of naive patients with HIV infection shows a better cost/effectiveness profile than the standard of care approach. (Direct Cost analysis)
Measure: Cost/effectiveness compared in both arms Time: 48 WeeksThe aim of the study is to investigate the possible correlation of plasma drug concentrations with Time To Positivity (TTP) in liquid culture in patients with active pulmonary multi sensitive TB in the first two weeks of treatment. Secondary aims are: the correlation between plasma drug concentrations and hepato/neuro toxicity; the impact of different allelic variants on PK data, toxicity and TTP in liquid culture; the feasibility of using dried blood/plasma spots to measure plasma concentrations of anti-TB drugs and determine genetic polymorphisms.
Analyzed SNPs will be: ABCB1 3435C>T (rs1045642), OATP1B1 521T>C (rs4149056) e OATP1B1 85-7793T>C (rs4149032), PXR 63396C>T (rs2472677), BsmI G>A (rs1544410).
Description: Investigate the correlation of plasma drug concentrations (Rifampicin, Isoniazid, Ethambutol and Pyrazinamide, HRZE) with the change in Time To Positivity (TTP) in liquid culture in patients with active pulmonary TB between the baseline and the first week of treatment.
Measure: Correlation between AUC of RHZE and TTP Time: 1 week from start of treatmentDescription: Investigate the correlation of plasma drug concentrations (Rifampicin, Isoniazid, Ethambutol and Pyrazinamide, HRZE) with the change in Time To Positivity (TTP) in liquid culture in patients with active pulmonary TB between the baseline and the second week of treatment.
Measure: Correlation between AUC of RHZE and TTP Time: 2 weeks from start of treatmentDescription: Investigate the correlation of plasma drug concentrations (Rifampicin, Isoniazid, Ethambutol and Pyrazinamide, HRZE) with hepatotoxicity (increase of AST and/or ALT) and neurotoxicity (peripheral neuropathy)
Measure: Correlation between AUC of RHZE and toxicity Time: 1 week and 2 weeks from start of treatmentDescription: Investigate the impact of different allelic variants of NAT2, SLCO1B1, ABCB1, VDR on AUC of RHZE toxicity and TTP in liquid culture
Measure: Correlation between PG and AUC of RHZE Time: 1 week and 2 weeks from start of treatmentDescription: Assess the consistency of using dried plasma spots to measure plasma concentrations of anti-TB drugs comparing to plasma samples
Measure: Assess the consistency of results using of DPS for measuring the plasma drug concentrations Time: 1 week and 2 weeks from start of treatmentDescription: A pharmacometric model will be develop to correlate pharmacokinetics (AUC of RHZE) with the anti-TB treatment response (clinical and TTP) of the standard first-line anti-TB regimen.
Measure: Correlate AUC of RHZE with antiTB response Time: 6 months after end of treatmentDescription: A pharmacometric model will be develop to correlate PG with the anti-TB treatment response (clinical and TTP) of the standard first-line anti-TB regimen.
Measure: Correlate PG with antiTB response Time: 6 months after end of treatmentThis interventional prospective multicenter nonrandomized clinical and epidemiological study is the first Russian study aimed at evaluating the effectiveness of a single-lead electrocardiography device (CardioQVARK) in screening for atrial fibrillation in primary health care.
For new oral anticoagulants - rs2244613 of the gene CES1, rs1045642 (C3435T), rs1128503 (C1236T), rs2032582 (G2677T / А) of the gene ABCB1, rs2231142 (С421А, Q141K) of the gene ABCG2, rs776746 (A6986G * 399 CYP3 CYP3) CYP3A4.. Inclusion Criteria: Men and women aged 18 to 96 years who have one or more of the following risk factors: - hypertonic disease - history of ischemic stroke or transient ischemic attacks - type 1 and type 2 diabetes - 1-3 degrees obesity - heart failure or the presence of a clinic to reduce exercise tolerance associated with shortness of breath - coronary heart disease or the presence of symptoms of chest pain, in the absence of an established diagnosis of coronary heart disease - the presence of peripheral arterial atherosclerosis - the presence of a clinic of interruptions in the work of the heart (bouts of rapid, irregular heartbeats, pauses in work of heart) Non-inclusion criteria: - Acute coronary syndrome - Acute ischemic or hemorrhagic stroke - Acute psychosis - The presence of severe concomitant diseases with an expected life expectancy of less than 2 years Exclusion Criteria: Refusal of further participation in the study Inclusion Criteria: Men and women aged 18 to 96 years who have one or more of the following risk factors: - hypertonic disease - history of ischemic stroke or transient ischemic attacks - type 1 and type 2 diabetes - 1-3 degrees obesity - heart failure or the presence of a clinic to reduce exercise tolerance associated with shortness of breath - coronary heart disease or the presence of symptoms of chest pain, in the absence of an established diagnosis of coronary heart disease - the presence of peripheral arterial atherosclerosis - the presence of a clinic of interruptions in the work of the heart (bouts of rapid, irregular heartbeats, pauses in work of heart) Non-inclusion criteria: - Acute coronary syndrome - Acute ischemic or hemorrhagic stroke - Acute psychosis - The presence of severe concomitant diseases with an expected life expectancy of less than 2 years Exclusion Criteria: Refusal of further participation in the study Atrial Fibrillation Atrial Fibrillation This is an interventional, prospective, multicenter, nonrandomized clinical and epidemiological study.
Description: Total number of AF cases newly diagnosed during the study period.
Measure: Total number of AF cases newly diagnosed during the study period. Time: Through study completion, an average of 1 yearDescription: Number of patients who, for the first time ever, were assigned to anticoagulation therapy.
Measure: Number of patients who, for the first time ever, were assigned to anticoagulation therapy. Time: Through study completion, an average of 1 yearDescription: Assessed using data obtained from pharmacokinetic analysis. International normalised ratio (INR) - target range from 2 to 3.
Measure: Compliance to anticoagulation therapy for warfarin. Time: 6 months after administration of anticoagulantsDescription: Assessed using data obtained from pharmacokinetic analysis. Quantitative determination of the concentration of drugs in the blood (blood sampling three hours after taking the drug).
Measure: Compliance to anticoagulation therapy for new oral anticoagulants. Time: 6 months after administration of anticoagulantsDescription: Evaluated as incremental cost-effectiveness ratio of screening per quality adjusted life year gained, and per stroke avoided.
Measure: Cost-effectiveness of using the single-lead CardioQVARK ECG device in screening for AF in primary health care. Time: Through study completion, an average of 1 yearDescription: Mean time to diagnosis.
Measure: Mean time to diagnosis. Time: Through study completion, an average of 1 yearDescription: Number of patients with a CHA₂DS₂-VASc score (the CHA2DS2-VASc Score is the most commonly utilized method to predict thromboembolic risk in atrial fibrillation) of ≥ 1.
Measure: Number of patients with a CHA₂DS₂-VASc score (the CHA2DS2-VASc Score is the most commonly utilized method to predict thromboembolic risk in atrial fibrillation) of ≥ 1. Time: Through study completion, an average of 1 yearDescription: Number of patients with a CHA₂DS₂-VASc score (the CHA2DS2-VASc Score is the most commonly utilized method to predict thromboembolic risk in atrial fibrillation) of ≥ 2.
Measure: Number of patients with a CHA₂DS₂-VASc score (the CHA2DS2-VASc Score is the most commonly utilized method to predict thromboembolic risk in atrial fibrillation) of ≥ 2. Time: Through study completion, an average of 1 yearDescription: Defined as frequency of ischemic stroke or transient ischemic attack in patients with newly diagnosed AF and assigned anticoagulants.
Measure: Incidence of ischemic stroke or transient ischemic attack after enrollment in the study. Time: Through study completion, an average of 1 yearDescription: Defined as frequency of massive hemorrhage in patients with newly diagnosed AF and assigned anticoagulants.
Measure: Incidence of massive hemorrhage after enrollment in the study. Time: Through study completion, an average of 1 yearDescription: Defined as frequency of hemorrhagic stroke in patients with newly diagnosed AF and assigned anticoagulants.
Measure: Incidence of hemorrhagic stroke after enrollment in the study. Time: Through study completion, an average of 1 yearDescription: For warfarin - CYP2C9 (CYP2C9 * 2, CYP2C9 * 3), VKORC1 (1 marker), CYP4F2 (1 marker), GGCX (1 marker). For new oral anticoagulants - rs2244613 of the gene CES1, rs1045642 (C3435T), rs1128503 (C1236T), rs2032582 (G2677T / А) of the gene ABCB1, rs2231142 (С421А, Q141K) of the gene ABCG2, rs776746 (A6986G * 399 CYP3 CYP3) CYP3A4.
Measure: Pharmacogenetic testing by polymorphic markers Time: 6 months after administration of anticoagulants