Laurence Malard

Institut Claudius Regaud, Toulouse, Midi-Pyrenees, France

Are you Laurence Malard?

Claim your profile

Publications (8)27.45 Total impact

  • Article: Should therapeutic drug monitoring of the unbound fraction of imatinib and its main active metabolite N-desmethyl-imatinib be developed?
    [show abstract] [hide abstract]
    ABSTRACT: PURPOSE: The European Society for Medical Oncology recommends therapeutic drug monitoring (TDM) for imatinib, based on total plasma concentrations in cases of sub-optimal response, failure, or adverse events. Imatinib is highly bound to alpha-1 acid glycoprotein (AGP) in the plasma. We determined the unbound plasma fraction of both imatinib and its main active metabolite (N-desmethyl-imatinib) in plasma from 44 patients. The objective was to quantify the inter-individual variability of the protein binding of imatinib in order to discuss the potential benefits and limits of TDM of free plasma concentrations. PATIENTS AND METHODS: The quantification of unbound fraction of imatinib and N-desmethyl-imatinib was performed using plasma ultrafiltration coupled with LC-MS/MS measurement. 60 pre-dose plasma samples were obtained at steady state within TDM in 44 chronic myeloid leukemia patients. RESULTS: The mean unbound fractions of imatinib and N-desmethyl-imatinib were 2.94 and 5.10 %, respectively, with inter-individual variability (CV in %) of 57 % for imatinib and 71 % for the metabolite. For 11 patients, repeated blood sampling gave a mean intra-individual variability of 28 % for imatinib and 34 % for N-desmethyl-imatinib. No correlation was observed between these measured individual imatinib unbound fraction values and those obtained using an equation based on AGP levels previously proposed by Widmer et al. The mean N-desmethyl-imatinib/imatinib ratio was determined for both total (0.69) and unbound (1.10) concentrations, with inter-individual variabilities of 71 and 86 %, respectively. CONCLUSION: The large inter-individual variability for the unbound fraction of both imatinib and N-desmethyl-imatinib warrants further evaluation of the pharmacokinetic-pharmacodynamic relationship as a potential relevant marker of imatinib therapeutic outcomes.
    Cancer Chemotherapy and Pharmacology 11/2012; · 2.83 Impact Factor
  • Article: Population pharmacokinetics of erlotinib and its pharmacokinetic/pharmacodynamic relationships in head and neck squamous cell carcinoma.
    [show abstract] [hide abstract]
    ABSTRACT: A clinical study was conducted to determine the safety and efficacy of neoadjuvant erlotinib treatment in patients with head and neck squamous cell carcinoma [Thomas F, Rochaix P, Benlyazid A, et al. Pilot study of neoadjuvant treatment with erlotinib in non-metastatic head and neck squamous cell carcinoma. Clin Cancer Res 2007;13:7086-92]. The aim of the present analysis was to explore the impact of several covariates on the pharmacokinetics of erlotinib and its main metabolite (OSI-420) and to determine PK/PD relationships. Plasma concentrations of erlotinib and OSI-420 of 42 patients were analysed using the NONMEM program to evaluate the impact of patients' covariates on erlotinib pharmacokinetics. The presence of single nucleotide polymorphisms (SNP) in ABCB1 (2677G>T/A and 3435C>T), ABCG2 (421C>A) and CYP3A5 (6986G>A) was investigated. Pharmacokinetic/pharmacodynamic relationships between plasma drug exposure (AUC) and early drug response or toxicity were also studied. The covariates retained to predict erlotinib clearance were ALAT (alanine amino transferase), age and ABCG2 polymorphism. A significant link between drug exposure and the grade of skin rash was observed but early response to treatment was not correlated to the erlotinib AUC. Erlotinib treatment may present criteria justifying dose individualisation but further studies, including more patients, are necessary to define the modalities of this adaptation.
    European journal of cancer (Oxford, England: 1990) 07/2009; 45(13):2316-23. · 4.12 Impact Factor
  • Article: Urinary cystatin C can improve the renal safety follow-up of tenofovir-treated patients.
    [show abstract] [hide abstract]
    ABSTRACT: A receiver operating curve analysis was performed to assess the predictive value of the urinary cystatin C to urinary creatinine ratio for the renal monitoring of tenofovir. Urinary cystatin C to urinary creatinine ratio was measured in 37 samples from patients referred for suspected tenofovir-induced Fanconi syndrome. The best threshold (14 microg/mmol) was associated with sensitivity, 90.9%; specificity, 88.5%; positive predictive value, 76.9%; and negative predictive value, 95.8%. Urinary cystatin C to urinary creatinine ratio allows to rule out a Fanconi syndrome in most cases; thus, it should be used for the safety follow-up of nucleotide reverse transcriptase inhibitor-treated patients.
    AIDS (London, England) 02/2009; 23(2):257-9. · 4.91 Impact Factor
  • Article: Contribution of the MDRD equation and of cystatin C for renal function estimates in cancer patients.
    [show abstract] [hide abstract]
    ABSTRACT: Serum creatinine (SCr) and Cockcroft-Gault creatinine clearance (CG CrCL) are used to estimate glomerular filtration rate (GFR). Other markers have been proposed including serum cystatin C (cysC) and the Modification of Diet in Renal Disease (MDRD) study equation. We have compared the diagnostic performances of SCr, cysC, CG CrCL, and the MDRD equation in 144 cancer patients. For reference we used either the measured or the predicted carboplatin clearance, which is around the GFR + 25 mL/min. CysC was more sensitive than SCr (70.1% vs 13.4%) but was not very specific (61% for a cut-off = 0.95 mL). CysC values were higher in 40 cancer patients vs 40 healthy controls with a similar and normal mean CG CrCL (1.08 vs 0.71 mg/L; p < 0.001). CG and the MDRD equations gave similar values for Pearson's coefficient, ROC-plot AUC, and precision, except for patients with poor general status, where the MDRD equation was better (MAPE: 12.4% vs 19.6%, p < 0.001; R: 0.908 vs 0.813). In cancer patients, cysC is a more sensitive indicator of the glomerular filtration rate than SCr, but its diagnostic performance is lower than for CG CrCL. There may be no advantage in replacing the CG equation by the MDRD equation except for patients with severe malnutrition and/or inflammation.
    Medical Oncology 02/2006; 23(1):63-73. · 2.14 Impact Factor
  • Article: Serum cystatin C is a better marker of topotecan clearance than serum creatinine.
    [show abstract] [hide abstract]
    ABSTRACT: To evaluate plasma cystatin level as a covariate to predict topotecan pharmacokinetics. Cystatin C, a member of the cystatin superfamily of cysteine proteinase inhibitors, has been recently proposed as an alternative endogenous marker of glomerular filtration. Renal function is known as a key factor of topotecan clearance. Data were obtained from 59 patients who underwent drug monitoring for individual dosing of topotecan. Topotecan plasma concentrations versus time were analyzed using a nonlinear mixed effect model according to a two-compartment pharmacokinetic model and a first-order conditional estimation method. A proportional error model was used for residual and interpatient variabilities. Data-splitting was done randomly to create a model-building data set (44 patients) and a model validation data set (15 patients). Using the building data set, four covariates significantly decreased the objective function value and interindividual variability on topotecan clearance (CL) when tested individually: ideal body weight (IBW), serum creatinine, age, and cystatin C level. The best model was: CL (L/hour) = 20.2 [cystatin C (mg/L) / 1.06](-0.60) [IBW (kg) / 57](0.95). Prospective evaluation using the validation data set confirmed that the model based on cystatin C had a better predictive value than the models based on serum creatinine or body surface area. Cystatin C is a marker of drug elimination which is superior to serum creatinine for topotecan. It deserves to be further explored as a promising covariate for drug dosing as well as selection criteria for clinical studies of drugs eliminated mainly or partially by the kidney.
    Clinical Cancer Research 05/2005; 11(8):3038-44. · 7.74 Impact Factor
  • Article: Cystatin C as a new covariate to predict renal elimination of drugs: application to carboplatin.
    [show abstract] [hide abstract]
    ABSTRACT: The individual dosing of drugs that are mainly eliminated unchanged in the urine is made possible by assessing renal function. Most of the methods used are based on serum creatinine (SCr) levels. Cystatin C (CysC) has been proposed as an alternative endogenous marker of the glomerular filtration rate (GFR). Carboplatin is one of the drugs for which elimination is most dependent on the GFR. A prospective clinical trial including 45 patients was conducted to assess the value of serum CysC as a predictor of carboplatin clearance (CL). The patients were receiving carboplatin as part of established protocols. Carboplatin was administered as a daily 60-minute infusion at doses ranging from 290 to 1700mg. A population pharmacokinetic analysis was performed using the nonlinear mixed effect modelling NONMEM program according to a two-compartment pharmacokinetic model. Data from 30 patients were used to test the relationships between carboplatin CL and morphological, biological and demographic covariates previously proposed for prediction of the GFR. The interindividual variability of carboplatin CL decreased from 31% (no covariate) to 14% by taking into account five covariates (SCr, CysC, bodyweight [BW], age and sex). Prospective evaluation of these relationships using the data from the other 15 patients confirmed that the best equation to predict carboplatin CL was based on these five covariates, with a mean absolute percentage error of 13% as an assessment of precision. NONMEM analysis of the whole dataset (n = 45 patients) was performed. The best covariate equation corresponding to the overall analysis was: CL (mL/min) = 110 x (SCr/75)-0.512 x (CysC/1.0)-0.327 x (BW/65)0.474 x (age/56)-0.387 x 0.854sex, with SCr in micromol/L, CysC in mg/L, BW in kilograms, age in years and sex = 0 if male and 1 if female. To put the value of CysC as an endogenous marker of the GFR into perspective, covariate equations without SCr were also evaluated; a better prediction was obtained by considering CysC together with age and BW (interindividual variability of 16.6% vs 23.3% for CysC alone). CysC is a marker of drug elimination that is at least as good as SCr for predicting carboplatin CL. The model based on five covariates was superior to those based on only four covariates (with BW, age and sex combined with either SCr or CysC), indicating that CysC and SCr are not completely redundant to each other. Further pharmacokinetic evaluation is needed to determine whether SCr or CysC is the better marker of renal elimination of other drugs.
    Clinical Pharmacokinetics 02/2005; 44(12):1305-16. · 5.40 Impact Factor
  • Article: [Interest of cystatin C for individual dosing of anticancer drugs cleared by the kidneys].
    [show abstract] [hide abstract]
    ABSTRACT: Cystatin C is a protein freely filtered in the renal glomerulus, then reabsorbed and completely metabolised within the tubular cells. The possibility to predict the clearance of compounds eliminated by the kidneys (and then to control their interindividual variability) was evaluated for two cytotoxic drugs (carboplatin and topotecan) in adults and EDTA (ethylene diamine tetraacetic acid), a compound used to determine the glomerular filtration rate in children. The population pharmacokinetic approach based on NONMEM program was used. For each of the three compounds, the cystatin C serum level was better predictive of clearance than that of creatinine. Moreover, for carboplatin and EDTA, the best equation between clearance and patients' characteristics included both cystatin C and creatinine level. A generalisation of cystatin C assay would contribute to standardise the clinical practices in Oncology.
    Thérapie 62(2):121-7. · 0.30 Impact Factor
  • Article: Intérêt de la cystatine C pour l'adaptation de posologie des médicaments anticancéreux à élimination rénale
    [show abstract] [hide abstract]
    ABSTRACT: Cystatin C is a protein freely filtered in the renal glomerulus, then reabsorbed and completely metabolised within the tubular cells. The possibility to predict the clearance of compounds eliminated by the kidneys (and then to control their interindividual variability) was evaluated for two cytotoxic drugs (carboplatin and topotecan) in adults and EDTA (ethylen diamine tetraacetic acid), a compound used to determine the glomerular filtration rate in children. The population pharmacokinetic approach based on NONMEM program was used. For each of the three compounds, the cystatin C serum level was better predictive of clearance than that of creatinine. Moreover, for carboplatin and EDTA, the best equation between clearance and patients' characteristics included both cystatin C and creatinine level. A generalisation of cystatin C assay would contribute to standardise the clinical practices in Oncology. La cystatine C est une protéine entièrement filtrée au niveau glomérulaire rénal puis réabsorbée au niveau tubulaire où elle est métabolisée. La possibilité de prédire la clairance de substances à élimination rénale (et ainsi de maîtriser leur variabilité interindividuelle) a été évaluée pour trois composés : le carboplatine et le topotécan, médicaments cytotoxiques administrés à des adultes, et l'EDTA (acide éthylène diamine tétra-acétique) chez l'enfant, composé utilisé en exploration fonctionnelle rénale pour déterminer le débit de filtration glomérulaire. L'approche de pharmacocinétique de population a été appliquée au moyen du logiciel NONMEM$^\circledR$. Pour chacun des trois composés, le taux sérique de cystatine C s'est avéré supérieur à celui de la créatinine en terme de prédiction de la clairance, aussi bien au cours de la première étape d'analyse (fichier "apprentissage") que lors de l'analyse prospective (fichier "validation"). De plus, pour le carboplatine et l'EDTA, le meilleur modèle en terme de prédiction a inclus à la fois le taux de cystatine C et celui de créatinine. Une généralisation du dosage de la cystatine C pourra contribuer à une standardisation des pratiques cliniques en Oncologie.
    http://dx.doi.org/10.2515/therapie:2007019.