Publications by authors named "Alain Munafo"

Purpose: A semiautomated pipeline for the collection and curation of free-text and imaging real-world data (RWD) was developed to quantify cancer treatment outcomes in large-scale retrospective real-world studies. The objectives of this article are to illustrate the challenges of RWD extraction, to demonstrate approaches for quality assurance, and to showcase the potential of RWD for precision oncology.

Methods: We collected data from patients with advanced melanoma receiving immune checkpoint inhibitors at the Lausanne University Hospital.

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Article Synopsis
  • Scientists are trying to find the best dose of new cancer treatments that people can handle without too many side effects, known as the maximum tolerated dose (MTD).
  • They are using a smart method called Bayesian adaptive model-based designs to help make better decisions about doses based on how the body absorbs the medicine.
  • By testing different doses in computer simulations, researchers found that these new methods are usually safer and more accurate than older ones, but they also need to closely control how much the medicine is processed in different people's bodies to get the best results.
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Multiple sclerosis (MS) is among the most common autoimmune disabling neurological conditions of young adults and affects more than 2.3 million people worldwide. Predicting future disease activity in patients with MS based on their pathophysiology and current treatment is pivotal to orientate future treatment.

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In phase I trials, it is the top priority of clinicians to effectively treat patients and minimize the chance of exposing them to subtherapeutic and overly toxic doses, while exploiting patient information. Motived by this practical consideration, we revive the one parameter linear dose-finder developed in 1970s to accommodate a continuous toxicity response in the phase I cancer clinical trials, which is called the two parameters linear dose-finder (2PLD). The 2PLD is a fully Bayesian model that assumes a linear relationship between toxicity response and dose.

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Cladribine is a nucleoside analog that is phosphorylated in its target cells (B and T-lymphocytes) to its active triphosphate form (2-chlorodeoxyadenosine triphosphate). Cladribine tablets 10 mg (Mavenclad), administered for up to 10 days per year in 2 consecutive years (3.5-mg/kg cumulative dose over 2 years), are used to treat patients with relapsing multiple sclerosis.

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Cladribine tablets have been approved in many countries for the treatment of patients with various forms of relapsing multiple sclerosis (MS). Cladribine has a unique pharmacokinetic/pharmacodynamic (PK/PD) profile with a short elimination half-life (~ 1 day) relative to a prolonged PD effect on specific immune cells (most notably a reversible reduction in B and T lymphocyte counts). This results in a short dosing schedule (up to 20 days over 2 years of treatment) to sustain efficacy for at least another 2 years.

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Article Synopsis
  • Cladribine is a nucleoside analog used to treat relapsing multiple sclerosis, administered as tablets (10 mg) for 10 days each year over two years, resulting in a total dose of 3.5 mg/kg.
  • The drug must be activated in the body to its triphosphate form, with its distribution influenced by various transporters, including specific nucleoside transporters (ENT and CNT) and the breast cancer resistance protein.
  • Evidence suggests that cladribine's transport across membranes mainly involves certain transporters, while no significant role is found for common solute carrier transporters, indicating low likelihood for cladribine to inhibit these transporters in vivo.
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Total tumor size (TS) metrics used in TS models in oncology do not consider tumor heterogeneity, which could help to better predict drug efficacy. We analyzed individual target lesions (iTLs) of patients with metastatic colorectal carcinoma (mCRC) to determine differences in TS dynamics by using the ClassIfication Clustering of Individual Lesions (CICIL) methodology. Results from subgroup analyses comparing genetic mutations and TS metrics were assessed and applied to survival analyses.

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Aims: Cladribine tablets have shown significant efficacy for the treatment of relapsing multiple sclerosis, a chronic and debilitating immune-mediated disorder. This study was conducted to examine acute and/or cumulative effects of cladribine tablets 10 mg (3.5 or 5.

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The cladribine prodrug is phosphorylated intracellularly to its active product, 2-chlorodeoxyadenosine triphosphate (Cd-ATP), by deoxycytidine kinase.

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Introduction: Cladribine Tablets (MAVENCLAD) selectively reduce absolute lymphocyte counts (ALCs) in patients with multiple sclerosis. The recommended cumulative dose of Cladribine Tablets is 3.5 mg/kg over 4-5 days in months 1 and 2 of treatment years 1 and 2, followed by prolonged efficacy with no additional treatment.

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Cladribine Tablets (MAVENCLAD) are used to treat relapsing multiple sclerosis (MS). The recommended dose is 3.5 mg/kg, consisting of 2 annual courses, each comprising 2 treatment weeks 1 month apart.

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Mathematical models of tumor dynamics generally omit information on individual target lesions (iTLs), and consider the most important variable to be the sum of tumor sizes (TS). However, differences in lesion dynamics might be predictive of tumor progression. To exploit this information, we have developed a novel and flexible approach for the non-parametric analysis of iTLs, which integrates knowledge from signal processing and machine learning.

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Purpose: The aims of this study were to characterize the concentration-time course of cladribine (CdA) and its main metabolite 2-chloroadenine (CAde), estimate interindividual variability in pharmacokinetics (PK), and identify covariates explaining variability in the PK of CdA.

Methods: This population PK analysis was based on the combined dataset from four clinical studies in patients with multiple sclerosis (MS): three phase I studies, including one food and one drug-drug interaction study, and one phase III clinical study. Plasma and urine concentration data of CdA and CAde were modeled simultaneously.

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Neonatal loading studies with tetrahydrobiopterin (BH4) are used to detect hyperphenylalaninemia due to BH4 deficiency by evaluating decreases in blood phenylalanine (Phe) concentrations post BH4 load. BH4 responsiveness in phenylalanine hydroxylase (PAH)-deficient patients introduced a new diagnostic aspect for this test. In older children, a broad spectrum of different levels of responsiveness has been described.

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Atacicept is a recombinant fusion protein containing the extracellular ligand-binding portion of the transmembrane activator and CAML interactor (TACI, CD267) receptor and inhibits B lymphocyte stimulator (BLyS, CD257) and a proliferation-inducing ligand (APRIL, CD256), both potent stimulators of B cell maturation, proliferation, and survival. Atacicept pharmacokinetics and pharmacodynamics were assessed in a double-blind, placebo-controlled, phase I study in patients with active, moderate to severe rheumatoid arthritis receiving atacicept either as a single subcutaneous or repeated, every other week dose. Pharmacokinetic profiles were determined by measuring serum concentrations of free atacicept and its complex with BLyS.

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Objective: Atacicept, a recombinant fusion protein, blocks the activity of BLyS (a B-lymphocyte stimulator) and APRIL (a proliferation-inducing ligand) and may be a potential treatment for B-cell-mediated diseases. This study assesses the safety, pharmacokinetics (PK) and pharmacodynamics (PD) of atacicept.

Methods: In this Phase I study, healthy male volunteers received a single subcutaneous dose of atacicept (2.

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Aims: The aim of this analysis was to develop a population pharmacokinetic model for Emfilermin (recombinant human leukaemia inhibitory factor, r-hLIF) following subcutaneous administration to healthy postmenopausal women and to infertile patients undergoing in vitro fertilization and embryo transfer (IVF-ET).

Methods: Data from three studies, a single and a repeat dose Phase I study in postmenopausal women as well as a proof of concept study in patients undergoing in vitro fertilization and embryo transfer were combined and analyzed. The structural pharmacokinetic model was developed using the rich data from the Phase I studies and the full pharmacostatistical model was then derived using all the data.

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A pharmacokinetic/pharmacodynamic (PK/PD) model was developed to simultaneously characterize interferon after i.v. and s.

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