Population pharmacokinetics of the novel anticancer agent E7070 during four phase I studies: model building and validation

RBM39 degrader invigorates natural killer cells to eradicate neuroblastoma despite cancer cell plasticity

The cellular plasticity of neuroblastoma is defined by a mixture of two major cell states, adrenergic (ADRN) and mesenchymal (MES), which may contribute to therapy resistance. However, how neuroblastoma cells switch cellular states during therapy remains largely unknown and how to eradicate neuroblastoma regardless of their cell states is a clinical challenge. To better understand the lineage switch of neuroblastoma in chemoresistance, we comprehensively defined the transcriptomic and epigenetic map of ADRN and MES types of neuroblastomas using human and murine models treated with indisulam, a selective RBM39 degrader. We showed that cancer cells not only undergo a bidirectional switch between ADRN and MES states, but also acquire additional cellular states, reminiscent of the developmental pliancy of neural crest cells. The lineage alterations are coupled with epigenetic reprogramming and dependency switch of lineage-specific transcription factors, epigenetic modifiers and targetable kinases. Through targeting RNA splicing, indisulam induces an inflammatory tumor microenvironment and enhances anticancer activity of natural killer cells. The combination of indisulam with anti-GD2 immunotherapy results in a durable, complete response in high-risk transgenic neuroblastoma models, providing an innovative, rational therapeutic approach to eradicate tumor cells regardless of their potential to switch cell states.

Splicing factor mutations in hematologic malignancies

Mutations in genes encoding RNA splicing factors were discovered nearly ten years ago and are now understood to be amongst the most recurrent genetic abnormalities in patients with all forms of myeloid neoplasms and several types of lymphoproliferative disorders as well as subjects with clonal hematopoiesis. These discoveries implicate aberrant RNA splicing, the process by which precursor RNA is converted into mature messenger RNA, in the development of clonal hematopoietic conditions. Both the protein as well as the RNA components of the splicing machinery are affected by mutations at highly specific residues and a number of these mutations alter splicing in a manner distinct from loss of function. Importantly, cells bearing these mutations have now been shown to generate mRNA species with novel aberrant sequences, some of which may be critical to disease pathogenesis and/or novel targets for therapy. These findings have opened new avenues of research to understand biological pathways disrupted by altered splicing. In parallel, multiple studies have revealed that cells bearing change-of-function mutation in splicing factors are preferentially sensitized to any further genetic or chemical perturbations of the splicing machinery. These discoveries are now being pursued in several early phase clinical trials using molecules with diverse mechanisms of action. Here we review the molecular effects of splicing factor mutations on splicing, mechanisms by which these mutations drive clonal transformation of hematopoietic cells, and the development of new therapeutics targeting these genetic subsets of hematopoietic malignancies.

Isoleucine with secondary sulfonamide functionality as anticancer, antibacterial and antifungal agents

Isoleucine substituted analogues with secondary sulfonamide group (I₁-I₆) have been synthesized. Structures of synthesized analogues have been confirmed by Fourier Transform-Infrared Red, Nuclear Magnetic Resonance (¹H and ¹³C) and ESI-MS spectroscopic tools. Cytotoxic screenings of synthesized analogues have been done on MCF-7 (breast), Prostate Cancer-3 (PC-3) and A549 (lung) cancer cell lines. N-(1-isobutyl-2-oxo-2-anilinoethyl) p-toluene sulfonamide (I₅) screened to be better cytotoxic agent on MCF-7 and A549 cell lines whereas N-(1-isobutyl-2-oxo-2-p-chloroanilino ethyl) benzene sulfonamide (I₃) against PC-3 cell line. Cell cycle analysis of N-(1-isobutyl-2-oxo-2-anilinoethyl) p-toluene sulfonamide (I₅) analogue has been carried out on A549 cell line in comparison to control and Vinblastine (standard drug). Complete arrest in G0 and G1 phase along with mild disturbance in S-phase of cell cycle has been observed. The screened analogues (I₁-I₆) also showed good antifungal and antibacterial potential against gram positive as well as gram negative strains. Computer simulation indicated good bioactivity prediction by the 'Lipinski rule' and synthesized analogues did not violate this rule. Docking study of isoleucine sulfonamide analogues (I₁-I₆) were carried out to determine the possible interaction sites of the analogues with p53 tumor suppressor-DNA complex and demonstrate that the analogues confirmed binding and inhibition with the most mutated residues of p53. Density functional theory has been used to correlate the electronic and chemical properties of analogues and they were found to be stable and chemically reactive. Thus the results suggest that isoleucine substituted sulfonamide analogues can serve as a structural model for the design of anticancer agents, antibacterial agents as well as antifungal agents with better inhibitory potential.Communicated by Ramaswamy H. Sarma.

Sulfonamide phenylalanine (SPA) series of analogues as an antibacterial, antifungal, anticancer agents along with p53 tumor suppressor-DNA complex inhibitor - part 1

A series of N-[1-benzyl-2-oxo-2-substituted(ethyl)] benzene/p-toluene sulfonamide (K1-K12) are synthesized. Structure of the synthesized analogues has been confirmed by FT-IR, ¹H & ¹³C NMR and ESI-MS spectroscopic techniques. All the synthesized analogues (K1-K12) have also been examined for their in-vitro antibacterial and antifungal activities. Compounds showed good antibacterial and antifungal activity against standard drug. Anticancer study has been carried out on three cancer cell lines PC-3, MCF-7 and A549 on two different concentrations (mg/mL and μg/mL). The K4 sulfonamide analogue showed better anticancer activity amongst all analogues against PC-3 and A549 cell lines. K4 inhibit G0/G1 phase in cell-cycle analysis experiment. All synthesized molecules (K1-K12) dock at junction p53-DNA and make hydrogen bonded with residues of p53 protein as per docking study. ADMET predictions of synthesized phenylalanine sulfonamide analogues (K1-K12) has been done using 'Lipinski rule' and it has been observed that all synthesized analogues did not violate the rule. Electronic, chemical properties and mulliken atomic charges of analogues were calculated using density functional theory (DFT). Communicated by Ramaswamy H. Sarma.

A Population Pharmacokinetic and Pharmacodynamic Analysis of RP5063 Phase 2 Study Data in Patients with Schizophrenia or Schizoaffective Disorder

Background and Objective

RP5063 is a novel multimodal dopamine (D)–serotonin (5-HT) stabilizer possessing partial agonist activity for D_2/3/4 and 5-HT_1A/2A, antagonist activity for 5-HT_2B/2C/7, and moderate affinity for the serotonin transporter. Phase 2 trial data analysis of RP5063 involving patients with schizophrenia and schizoaffective disorder defined: (1) the pharmacokinetic profile; and (2) the pharmacokinetic/pharmacodynamic relationships.

Methods

Pharmacokinetic sample data (175 patients on RP5063; 28 doses/patient) were analyzed, utilized one- and two-compartment models, and evaluated the impact of covariates. Pharmacodynamic analysis involved development of an E_max model.

Results

The pharmacokinetic analysis identified a one-compartment model incorporating body mass index influence on volume as the optimum construct, with fixed-effect parameters: (1) oral clearance (Cl/F), 5.11 ± 0.11 L/h; (2) volume of distribution (V_c/F), 328.00 ± 31.40 L; (3) absorption constant (ka) 0.42 ± 0.17 h⁻¹; (4) lag time (t lag) of 0.41 ± 0.02 h; and (5) a calculated half-life of 44.5 h. Pharmacokinetics were linear related to dose. An E_max model for total Positive and Negative Syndrome Scale (PANSS) scores as the response factor against cumulative area under the curve (AUC) provided fixed-effect estimates: (1) E_o = 87.3 ± 0.71 (PANSS Units; pu); (2) E_max = − 31.60 ± 4.05 (pu); and (3) AUC₅₀ = 89.60 ± 30.10 (µg·h/mL). The predicted PANSS improvement reflected a clinical dose range of 5–30 mg.

Conclusions

Pharmacokinetics of RP5063 behaved predictably and consistently. Pharmacodynamics were characterized using an E_max model, reflecting total PANSS score as a function of cumulative AUC, that showed high predictability and low variability when correlated with actual observations.

Electronic supplementary material

The online version of this article (10.1007/s13318-018-0472-z) contains supplementary material, which is available to authorized users.

Final results of a phase 2, open-label study of indisulam, idarubicin, and cytarabine in patients with relapsed or refractory acute myeloid leukemia and high-risk myelodysplastic syndrome

BACKGROUND

Indisulam possesses anticancer properties through down-regulation of various cell-cycle checkpoint molecules, thereby blocking the phosphorylation of retinoblastoma protein and inducing p53 and p21. Indisulam exhibits synergy with nucleoside analogs and topoisomerase inhibitors.

METHODS

The authors designed a phase 2 study of indisulam in combination with idarubicin and cytarabine in patients who had relapsed/refractory acute myeloid leukemia AML and high-risk myelodysplastic syndrome. In stage 1, patients received intravenous indisulam at 400 mg/m² on days 1 and 8 of a 28-day cycle. If they had no response, then patients received same dose schedule of indisulam followed by intravenous idarubicin 8 mg/m² daily for 3 days and cytarabine 1.0 g/m² over 24 hours daily on days 9 through 12 (for those aged < 60 years) or days 9 through 11 (for those aged > 60 years) of a 28-day cycle. Primary endpoints included the overall response rate, and secondary objectives included overall survival.

RESULTS

Forty patients were enrolled. Of the 37 evaluable patients, 31 received indisulam with chemotherapy. Of these, 11 (35%) responded for a median duration of 5.3 months. The estimated 1-year overall survival rate was 51% for responders compared with 8 % for nonresponders (P < .001). The most common grade ≥3 nonhematologic toxicities were electrolyte abnormalities (50%) and febrile neutropenia (28%).

CONCLUSIONS

The combination of indisulam with idarubicin and cytarabine yielded a 35% response rate in heavily pretreated patients with AML. With emerging data identifying the expression of DCAF15 (DDB1 and CUL4-associated factor 15) as a potential biomarker for activity, the combination of indisulam with idarubicin and cytarabine should be studied in a biomarker-driven trial or in patients who have splicing factor mutations. Cancer 2018;124:2758-65. © 2018 American Cancer Society. Cancer 2018;124:2758-2765. © 2018 American Cancer Society.

Population pharmacokinetics of 5-fluorouracil in colorectal cancer patients

Aims. The pharmacokinetics of 5-fluorouracil (5-FU) after intravenous administration in color- ectal cancer patients were examined using population analysis. The relevant covariates and the extent of inter- and intraindividual variability were evaluated.

Methods. Data from 27 patients with diagnosis of nonmetastatic colorectal adenocarcinoma receiving weekly 5-FU (450 mg/m2), plus levamisol 50 mg/8 hours by oral route for 3 days every 15 days, were pooled with data from 17 patients with diagnosis of metastatic colorectal adenocarcinoma, receiving daily 5-FU (425 mg/m2) and intravenous folinic acid (20 mg/m2) over five consecutive days (daily times five), every four weeks. In both groups 5-FU was administered as a 60-minute infusion and blood samples were collected at 10, 30 and 60 minutes from the end of the infusion, and analysed using a validated high-performance liquid chromatography assay. An open two-compartmental pharmacokinetic model with first-order elimination from central compartment was fitted to the plasma concentration data using nonlinear mixed effect modelling (NONMEM). The potential effect of patient covariates was evaluated using a stepwise method. Model evaluation was performed using bootstrap method.

Results. The pharmacokinetic model was successfully fitted to the data. None of the covariates tested were significantly correlated to the pharmacokinetic parameters. The mean parameters’ estimates (%CV) and the percent coefficient of variation of the central tendency parameters, interindividual (IIV), interoccasion (IOV) and residual variability (s) for the final model were: CL (L/h), 65.3 (13.2); Vc (L), 14.7 (11.8); Vp (L), 334.0 (31.4); Q (L/h), 19.6 (25.5); IIVCL (%), 76.5 (34.6); IIVVc (%), 82.3 (31.0); IIVVp (%), 137.5 (35.1); IIVQ (%), 117.5 (38.5); IOVCL (%), 66.1 (45.3); IOVVc (%), 70.8 (39.5); IOVQ (%), 81.1 (27.8) and s (%), 3.0 (25.4). The bootstrap resampling method confirmed the stability of the final model. The estimates of the central tendency parameters, IIV, IOV and residual variability were essentially equal to those generated with the original dataset (0% to 18% deviation) and the 95% confidence intervals included the mean parameters’ estimates obtained from the former set.

Conclusions. The two-compartmental model accurately described the pharmacokinetics of 5-FU administered by short-term infusion. A population pharmacokinetic approach is a useful tool to integrate the knowledge gathered in the clinical setting. The model developed may help in dose adaptation and will further be used in PK/PD modelling of therapeutic outcomes and adverse events.

Design, synthesis and anticancer activity of some novel thioureido-benzenesulfonamides incorporated biologically active moieties

Background

Many thiourea derivatives have exhibited biological activities including anticancer activity through several mechanisms. On the other hand, benzenesulfonamide derivatives have proven to be good anticancer agents. Hybrids of both moieties could be further developed to explore their biological activity as anticancer.

Results

Novel series of thioureidobenzenesulfonamides incorporating miscellaneous biologically active moieties 3–17 were designed and synthesized utilizing 4-isothiocyanatobenzenesulfonamide 2 as strategic starting material. The structures of the newly synthesized compounds were established on the basis of elemental analyses, IR, ¹H-NMR, ¹³C-NMR and mass spectral data. All the newly synthesized compounds were evaluated for their in vitro anticancer activity against various cancer cell lines. Most of the synthesized compounds showed good activity, especially compounds 3, 6, 8, 9, 10, 15 and 16 which exhibited good activity higher than or comparable to the reference drugs, DCF and Doxorubicin, except breast cancer line. As a trial to suggest the mechanism of action of the active compounds, molecular docking on the active site of mitogen kinase enzyme (MK-2) was performed and good results were obtained especially for compound 3.

Conclusion

Compounds 3, 6, 8, 9, 10, 15 and 16 may represent good candidates for further biological investigations as anticancer agents. Their cytotoxic activity could be due to their action as MK-2 enzyme inhibitors.Graphical abstract

Prediction of paraquat exposure and toxicity in clinically ill poisoned patients: a model based approach

AIMS

Paraquat poisoning is a medical problem in many parts of Asia and the Pacific. The mortality rate is extremely high as there is no effective treatment. We analyzed data collected during an ongoing cohort study on self-poisoning and from a randomized controlled trial assessing the efficacy of immunosuppressive therapy in hospitalized paraquat-intoxicated patients. The aim of this analysis was to characterize the toxicokinetics and toxicodynamics of paraquat in this population.

METHODS

A non-linear mixed effects approach was used to perform a toxicokinetic/toxicodynamic population analysis in a cohort of 78 patients.

RESULTS

The paraquat plasma concentrations were best fitted by a two compartment toxicokinetic structural model with first order absorption and first order elimination. Changes in renal function were used for the assessment of paraquat toxicodynamics. The estimates of toxicokinetic parameters for the apparent clearance, the apparent volume of distribution and elimination half-life were 1.17 l h(-1) , 2.4 l kg(-1) and 87 h, respectively. Renal function, namely creatinine clearance, was the most significant covariate to explain between patient variability in paraquat clearance.This model suggested that a reduction in paraquat clearance occurred within 24 to 48 h after poison ingestion, and afterwards the clearance was constant over time. The model estimated that a paraquat concentration of 429 μg l(-1) caused 50% of maximum renal toxicity. The immunosuppressive therapy tested during this study was associated with only 8% improvement of renal function.

CONCLUSION

The developed models may be useful as prognostic tools to predict patient outcome based on patient characteristics on admission and to assess drug effectiveness during antidote drug development.

Novel 4-(4-substituted-thiazol-2-ylamino)-N-(pyridin-2-yl)-benzenesulfonamides as cytotoxic and radiosensitizing agents

A series of novel 4-(4-substituted-thiazol-2-ylamino)-N-(pyridin-2-yl) benzene-sulfonamides were synthesized and screened for their cytotoxic activity against human breast cancer cell line (MCF-7). Compounds 6, 7, 9, 10, 11, and 14 displayed significant activity against MCF-7 when compared to doxorubicin, which was used as a reference drug. The synergistic effect of Gamma radiation for the most active derivatives 7, 9, and 11 was also studied and their IC(50) values markedly decreased to 11.9 μM, 11.7 μM, and 11.6 μM, respectively.

Predictive ability of a semi-mechanistic model for neutropenia in the development of novel anti-cancer agents: two case studies

In cancer chemotherapy neutropenia is a common dose-limiting toxicity. An ability to predict the neutropenic effects of cytotoxic agents based on proposed trial designs and models conditioned on previous studies would be valuable. The aim of this study was to evaluate the ability of a semi-mechanistic pharmacokinetic/pharmacodynamic (PK/PD) model for myelosuppression to predict the neutropenia observed in Phase I clinical studies, based on parameter estimates obtained from prior trials. Pharmacokinetic and neutropenia data from 5 clinical trials for diflomotecan and from 4 clinical trials for indisulam were used. Data were analyzed and simulations were performed using the population approach with NONMEM VI. Parameter sets were estimated under the following scenarios: (a) data from each trial independently, (b) pooled data from all clinical trials and (c) pooled data from trials performed before the tested trial. Model performance in each of the scenarios was evaluated by means of predictive (visual and numerical) checks. The semi-mechanistic PK/PD model for neutropenia showed adequate predictive ability for both anti-cancer agents. For diflomotecan, similar predictions were obtained for the three scenarios. For indisulam predictions were better when based on data from the specific study, however when the model parameters were conditioned on data from trials performed prior to a specific study, similar predictions of the drug related-neutropenia profiles and descriptors were obtained as when all data were used. This work provides further indication that modeling and simulation tools can be applied in the early stages of drug development to optimize future trials.

Covariate-based dose individualization of the cytotoxic drug indisulam to reduce the risk of severe myelosuppression

AIM

Chemotherapy with indisulam causes myelosuppression. This study aimed to evaluate the influence of patient-related covariates on pharmacokinetics and pharmacodynamics, to identify patients at risk for severe myelosuppression and to develop a dosing algorithm for treatment optimization.

METHODS

Pharmacokinetic and pharmacodynamic data of 412 patients were available. Non-linear mixed effects modeling was used to determine the relative risk of dose-limiting myelosuppression for various covariates (demographics, physical condition, prior treatment, comedication, CYP2C genotype and biochemistry).

RESULTS

Body surface area (BSA), race and CYP2C genotype had a significant impact on indisulam elimination (P < 0.001). Low BSA, Japanese race, variant CYP2C genotype, low baseline neutrophil and thrombocyte counts and female sex were clinically relevant risk factors of dose-limiting myelosuppression (RR > 1.1). A dosing strategy was developed to optimize treatment for patient subgroups.

CONCLUSIONS

This study has identified covariates related to an increased risk of myelosuppression after indisulam therapy. Dose individualization may contribute to treatment optimization.

Two-stage model-based clinical trial design to optimize phase I development of novel anticancer agents

Background The phase I program of anticancer agents usually consists of multiple dose escalation studies to select a safe dose for various administration schedules. We hypothesized that pharmacokinetic and pharmacodynamic (PK–PD) modeling of an initial phase I study (stage 1) can be used for selection of an optimal starting dose for subsequent studies (stage 2) and that a post-hoc PK–PD analysis enhances the selection of a recommended dose for phase II evaluation. The aim of this analysis was to demonstrate that this two-stage model-based design, which does not interfere in the conduct of trials, is safe, efficient and effective. Methods PK and PD data of dose escalation studies were simulated for nine compounds and for five administration regimens (stage 1) for drugs with neutropenia as dose-limiting toxicity. PK–PD models were developed for each simulated study and were used to determine a starting dose for additional phase I studies (stage 2). The model-based design was compared to a conventional study design regarding safety (number of dose-limiting toxicities (DLTs)), efficiency (number of patients treated with a dose below the recommended dose) and effectiveness (precision of dose selection). Retrospective data of the investigational anticancer drug indisulam were used to show the applicability of the model-based design. Results The model-based design was as safe as the conventional design (median number of DLTs = 3) and resulted in a reduction of the number of patients who were treated with a dose below the recommended dose (−27%, power 89%). A post-hoc model-based determination of the recommended dose for future phase II studies was more precise than the conventional selection of the recommended dose (root mean squared error 8.3% versus 30%). Conclusions A two-stage model-based phase I design is safe for anticancer agents with dose-limiting myelosuppression and may enhance the efficiency of dose escalation studies by reducing the number of patients treated with a dose below the recommended dose and by increasing the precision of dose selection for phase II evaluation.

Population pharmacokinetics of docetaxel in patients with hepatic dysfunction treated in an oncology practice

To investigate the relationship between the degree of liver dysfunction and the pharmacokinetics of docetaxel, a population pharmacokinetic model was developed in an oncology practice without excluding patients with moderate to severe liver dysfunction. Two hundred patients were treated with docetaxel as a single agent or in combination chemotherapy. The plasma concentration-time course data were analyzed using a three-compartment open model with zero-order administration and first-order elimination on the NONMEM program. Sixty-one had elevated transaminase levels, and alkaline phosphatase was elevated in 40. Body surface area, albumin, alpha1-acid glycoprotein, and liver function were found to be significant covariates for the systemic clearance of docetaxel. Compared to patients with normal or minimal impairment of liver function, patients with grade 2 and 3 elevations of transaminases at baseline in conjunction with elevation of alkaline phosphatase had 22 and 38% lower clearances, respectively. Goodness-of-fit plots indicated that the model was fitted well with the observed data, and the bootstrap method guaranteed robustness of the model. We developed a population pharmacokinetic model for docetaxel, which can be used in the setting of an oncology practice. Based on the model, dose reduction by approximately 20 and 40% should be considered for patients with grade 2 and 3 elevations of transaminases at baseline in conjunction with elevation of alkaline phosphatase, respectively.

Overview of model-building strategies in population PK/PD analyses: 2002-2004 literature survey

AIMS

A descriptive survey of published population pharmacokinetic and/or pharmacodynamic (PK/PD) analyses from 2002 to 2004 was conducted and an evaluation made of how model building was performed and reported.

METHODS

We selected 324 articles in Pubmed using defined keywords. A data abstraction form (DAF) was then built comprising two parts: general characteristics including article identification, context of the analysis, description of clinical studies from which the data arose, and model building, including description of the processes of modelling. The papers were examined by two readers, who extracted the relevant information and transmitted it directly to a MySQL database, from which descriptive statistical analysis was performed.

RESULTS

Most published papers concerned patients with severe pathology and therapeutic classes suffering from narrow therapeutic index and/or high PK/PD variability. Most of the time, modelling was performed for descriptive purposes, with rich rather than sparse data and using NONMEM software. PK and PD models were rarely complex (one or two compartments for PK; E(max) for PD models). Covariate testing was frequently performed and essentially based on the likelihood ratio test. Based on a minimal list of items that should systematically be found in a population PK-PD analysis, it was found that only 39% and 8.5% of the PK and PD analyses, respectively, published from 2002 to 2004 provided sufficient detail to support the model-building methodology.

CONCLUSIONS

This survey allowed an efficient description of recent published population analyses, but also revealed deficiencies in reporting information on model building.

CYP2C9 and CYP2C19 polymorphic forms are related to increased indisulam exposure and higher risk of severe hematologic toxicity

PURPOSE

The anticancer agent indisulam is metabolized by the cytochrome P450 of enzymes CYP2C9 and CYP2C19. Polymorphisms of these enzymes may affect the elimination rate of indisulam. Consequently, variant genotypes may be clinically relevant predictors for the risk of developing severe hematologic toxicity. The purposes of this study were to evaluate the effect of genetic variants of CYP2C9 and CYP2C19 on the pharmacokinetics of indisulam and on clinical outcome and to assess the need for pharmacogenetically guided dose adaptation.

EXPERIMENTAL DESIGN

Pharmacogenetic screening of CYP2C polymorphisms was done in 67 patients treated with indisulam. Pharmacokinetic data were analyzed with a population pharmacokinetic model, in which drug elimination was described by a linear and a Michaelis-Menten pathway. The relationships between allelic variants and the elimination pharmacokinetic parameters (CL, V(max), K(m)) were tested using nonlinear mixed-effects modeling. Polymorphisms causing a high risk of dose-limiting neutropenia were identified in a simulation study.

RESULTS

The Michaelis-Menten elimination rate (V(max)) was decreased by 27% (P<0.0001) for heterozygous CYP2C9*3 mutants. Heterozygous CYP2C19*2 and CYP2C19*3 mutations reduced the linear elimination rate (CL) by 38% (P < 0.0001). The risk of severe neutropenia was significantly increased by these mutations and dose reductions of 50 to 100 mg/m(2) per mutated allele may be required to normalize this risk.

CONCLUSIONS

CYP2C9*3, CYP2C19*2, and CYP2C19*3 polymorphisms resulted in a reduced elimination rate of indisulam. Screening for these CYP2C polymorphisms and subsequent pharmacogenetically guided dose adaptation may assist in the selection of an optimized initial indisulam dosage.

A randomized phase II pharmacokinetic and pharmacodynamic study of indisulam as second-line therapy in patients with advanced non-small cell lung cancer

PURPOSE

The primary aim of this study was to measure the objective tumor response rate following treatment with indisulam [E7070; N-(3-chloro-7-indolyl)-1,4-benzenedisulfonamide] as second-line therapy in patients with advanced non-small cell lung cancer. The secondary aims were to determine progression-free survival, to assess the safety and tolerability of indisulam, and to study its pharmacokinetic and pharmacodynamic profile.

EXPERIMENTAL DESIGN

Patients were randomized to receive indisulam every 3 weeks either as a single i.v. dose of 700 mg/m(2) on day one (dx1) or 130 mg/m(2) given on days 1 to 5 inclusive as a daily infusion (dx5). All patients had previously received platinum-based chemotherapy.

RESULTS

Forty-four patients were randomized. Only minor responses were seen. Myelosuppression, gastrointestinal symptoms, and lethargy were the most common toxicities and were more frequent in the dx1 arm. The pharmacokinetics of indisulam in each treatment schedule were adequately described using a previously developed population pharmacokinetic model and were mostly consistent with the results of the phase I program. Flow cytometric analysis of endobronchial and metastatic disease revealed a reduction in the fraction of cycling cells and an increase in apoptosis following indisulam compared with pretreatment levels.

CONCLUSIONS

We conclude that, despite evidence of tumor-specific indisulam-induced apoptosis, neither of these treatment schedules has single-agent activity as second-line treatment of non-small cell lung cancer.

A phase I and pharmacokinetic study of indisulam in combination with carboplatin

Indisulam (E7070) is an anticancer agent that is currently being evaluated in phase II clinical studies. A significant reduction in glutathione synthetase and glutathione reductase transcripts by indisulam provided a molecular basis for its combination with platinum agents. Indisulam demonstrated high anti-tumour activity in various preclinical cancer models. The objectives of this study were (1) to determine the recommended dose of indisulam in combination with carboplatin in patients with solid tumours and (2) to evaluate the pharmacokinetics of the combination. Patients with solid tumours were treated with indisulam in combination with carboplatin. Indisulam (350, 500, or 600 mg m(-2)) was given as a 1-hour intravenous infusion on day 1 and carboplatin (5 or 6 mg min ml(-1)) as an intravenous infusion over 30 min on day 2 of a three-weekly cycle. Sixteen patients received study treatment and were eligible. Thrombocytopenia was the major dose limiting toxicity followed by neutropenia. Both drugs contributed to the myelosuppressive effect of the combination. Indisulam 500 mg m(-2) in combination with carboplatin 6 mg min ml(-1) was identified not to cause dose limiting toxicity, but a delay of re-treatment by 1 week was required regularly to allow recovery from myelosuppression. The recommended dose and schedule for an envisaged phase II study in patients with non-small cell lung cancer is indisulam 500 mg m(-2) in combination with carboplatin 6 mg min ml(-1) repeated four-weekly. Patients who do not experience severe thrombocytopenia at cycle 1 will be permitted to receive an escalated dose of indisulam of 600 mg m(-2) from cycle 2 onwards.

Population pharmacokinetics of a HER2 tyrosine kinase inhibitor CP-724,714 in patients with advanced malignant HER2 positive solid tumors

PURPOSE

To develop a population pharmacokinetic (popPK) model for CP-724,714, a novel HER2 tyrosine kinase inhibitor is under development for the treatment of advanced HER2 positive cancers.

METHODS

Concentration-time data (n = 484) from 30 cancer patients receiving daily oral CP-724,714 at doses of 250 mg QD, 250 mg BID, 250 mg TID, and 400 mg BID in 21-day cycles in an open label First-in-Human dose-escalation study were evaluated. Serum concentrations of CP-724,714 were obtained after single dose and at steady state. Nonlinear mixed effect analysis in NONMEM using first order conditional estimation with interaction (FOCEI) was performed. The effect of covariates was assessed. Diagnostic plots, decrease of objective function value (>7.8), bootstrapping, and predictive check were used as model selection criteria.

RESULTS

A 2-compartment first-order absorption pharmacokinetic (PK) model with inter-subject variability (ISV) on the apparent oral elimination clearance (CL/F), apparent central volume of distribution (V1/F), apparent peripheral volume of distribution (V2/F), and first-order oral absorption rate constant (ka), interoccasion variability (IOV) on CL/F, and body weight (WT) as covariate on CL/F was developed. There was no evidence of dose-dependent and/or time-dependent PK. CL/F increased with increasing WT. The ISV of CL/F was reduced by approximately 20% with WT as a covariate. Age, race, and liver metastasis did not influence CP-724,714 disposition.

CONCLUSIONS

A popPK model was developed that adequately described the pharmacokinetics of CP-724,714. WT was identified as a covariate on CL/F that reduced ISV and improved model performance. Future studies will further assess the importance of WT as a pharmacokinetic covariate. The proposed popPK model can be used to simulate CP-724,714 Phase 2/3 trials.

A Semi-Physiological Population Pharmacokinetic Model Describing the Non-linear Disposition of Indisulam

The pharmacokinetic profile of the anti-cancer agent indisulam is non-linear. In addition to non-linear clearance, this may partially be explained by saturable distribution to red blood cells and saturable plasma protein binding. The aims of this study were to develop a semi-physiological population pharmacokinetic model of indisulam and to examine the impact of protein binding and distribution to red blood cells. Indisulam concentrations in plasma, plasma ultrafiltrate and in red blood cells from multiple phase I studies in Caucasian and Japanese patients were used to develop a pharmacokinetic model using NONMEM. This model comprised four physiological compartments: plasma, red blood cells, interstitial fluid and tissue. A simulation study was performed to examine the contribution of physiological processes in indisulam pharmacokinetics. Plasma albumin concentrations were predictive for the maximal protein binding capacity and considerably influenced total plasma concentrations of indisulam, whereas free plasma concentrations remained relatively unaffected. The maximal specific red blood cell binding capacity was 64.0 ( +/-5.9) mg/L and corresponded to the typical red blood cell carbonic anhydrase concentration. Simulation studies demonstrated that the hematocrit does not have a clinically relevant impact on indisulam disposition. This semi-physiological model allowed adequate prediction of the time profiles of indisulam concentrations in all monitored compartments for a large range of dose levels and several treatment regimens. The model has elucidated the mechanism and the role of saturable plasma protein binding and saturable distribution to red blood cells in indisulam pharmacokinetics and provides a basis for rationale PK-PD relationships.

Human metabolism of [(14)C]indisulam following i.v. infusion in cancer patients

Indisulam is a new anticancer drug with a unique mechanism of action, arresting the cell cycle at the G1/S transition. The major excretory pathway of indisulam is via the urine, accounting for 63% of the radioactive dose ([(14)C]indisulam) administered in a human mass balance study. Radiochromatographic profiling of urine samples resulted in the detection of several radioactive peaks. The purpose of the present investigation was to elucidate the chemical structures of these observed indisulam metabolites. We collected fractions after chromatographic separation of the urine samples. These fractions were analysed using tandem mass spectrometry. We propose the chemical structure of 15 indisulam metabolites in urine. The metabolism of indisulam is very complex, consisting of oxidative dechlorination, hydroxylation, hydrolysis, acetylation, sulphation and glucuronidation. The clinical relevance of the observed indisulam metabolites needs further investigation.

Saturable binding of indisulam to plasma proteins and distribution to human erythrocytes

The anticancer agent indisulam has a nonlinear pharmacokinetic profile, which may be partly related to saturable binding to blood constituents. To gain insight into the complex nonlinear behavior of indisulam, we investigated binding to plasma proteins and erythrocytes. The purpose of the study was to develop a physiological model for the distribution of indisulam in blood. Concentrations of radiolabeled indisulam were measured in vitro 1) in total plasma and in ultrafiltrate to investigate plasma protein binding, 2) in erythrocytes and in plasma to investigate distribution to erythrocytes, and 3) in erythrocyte membranes to investigate nonspecific binding in erythrocytes. For in vivo assessment, 21 patients received 400 to 900 mg/m2 indisulam in a 1- or 2-h infusion. Total and free concentrations in plasma and concentrations in erythrocytes were determined at multiple time points. In vitro plasma protein binding was described by a Langmuir model with a maximal binding capacity (Bmax = 767 microM) and an equilibrium dissociation constant (KD = 1.02 microM). The maximal capacity of plasma protein binding in vivo corresponded to albumin levels. The bound concentration in erythrocytes was described by a two-site model, comprising a saturable and a nonspecific binding component. The saturable component (Bmax = 174 microM) may correspond to binding to carbonic anhydrase. The physiological model adequately described the nonlinear disposition of indisulam in whole blood. Indisulam was bound to plasma proteins and distributed to erythrocytes in a saturable manner. These saturable processes may be attributed to binding to albumin (in plasma) and to carbonic anhydrase (in erythrocytes).

Semi-physiological model describing the hematological toxicity of the anti-cancer agent indisulam

Indisulam (N-(3-chloro-7-indolyl)-1,4-benzenedisulfonamide, GOAL, E7070) is a novel anti-cancer drug currently in phase II clinical development for the treatment of solid tumors. Phase I dose-escalation studies were conducted comparing four treatment schedules. Neutropenia and thrombocytopenia were dose limiting in all schedules. The aim of this study was to describe the extent and the time course of the hematological toxicity and its possible schedule dependency using a semi-physiological model. Data from 142 patients were analyzed using NONMEM. The semi-physiological model comprised a progenitor blood cell compartment, linked to the central circulation compartment, through 3 transition compartments representing the maturation chain in the bone marrow. Plasma concentrations of the drug were assumed to reduce the proliferation rate in the progenitor compartment according to a linear function. A feedback mechanism was included in the model representing the rebound effect of endogenous growth factors. The model was validated using a posterior predictive check. The model adequately described the extent and time course of neutropenia and thrombocytopenia. The mean transition time (MTT, i.e. maturation time in bone marrow) of neutrophils was increased by 47% in patients who received indisulam as a weekly dose administered for four out of every six weeks. For platelets, MTT was increased by 33% in patients who received this schedule and also in patients who received a continuous 120-h infusion. The validation procedure indicated that the model adequately predicts the nadir value of neutrophils and platelets and the time to reach this nadir. A semi-physiological model was successfully applied to describe the time course and extent of the neutropenia and thrombocytopenia after indisulam administration for four treatment schedules.

A phase II clinical and pharmacodynamic study of E7070 in patients with metastatic, recurrent, or refractory squamous cell carcinoma of the head and neck: modulation of retinoblastoma protein phosphorylation by a novel chloroindolyl sulfonamide cell cycle inhibitor

PURPOSE

E7070 is a synthetic sulfonamide cell cycle inhibitor that induces hypophosphorylation of the retinoblastoma (Rb) protein and G(1) arrest in vitro. This Phase II study was conducted to explore the efficacy, safety, and pharmacodynamics of E7070 in squamous cell carcinoma of the head and neck (SCCHN).

EXPERIMENTAL DESIGN

Patients with metastatic, recurrent, or refractory SCCHN, treated with no more than one prior therapy for recurrent disease, received E7070 at 700 mg/m(2) over 1 h every 3 weeks. Pre- and posttreatment tumor fine needle aspirates were subjected to immunohistochemistry with a panel of phospho-specific anti-Rb antibodies. End points included progression-free survival, response rate and duration, overall survival, toxicity profile, and inhibition of Rb phosphorylation.

RESULTS

Because none of the first 15 patients achieved progression-free survival > 4 months, the early stopping rule was invoked. Eleven patients had oropharyngeal cancer and 12 were male. Median age was 59 years (range, 49-73 years). Thirty-nine cycles of E7070 were delivered (median, 2.6 cycles/patient; range, 1-5 cycles). Six patients had stable disease after 2 cycles and 2 patients each subsequently received 1, 2, and 3 additional cycles, respectively, before experiencing progression. Immunohistochemistry of tumor cell aspirates from 3 patients demonstrated reduced Rb phosphorylation posttreatment.

CONCLUSIONS

At this dose and schedule, E7070 is unlikely to be superior over single-agent chemotherapy in SCCHN. However, the data suggest that cdk activity can be inhibited in tumor cells, resulting in posttreatment modulation of Rb phosphorylation. In the absence of cytotoxicity, more frequent administration of E7070 may be required to sustain Rb hypophosphorylation and cytostatic growth arrest.

Population pharmacokinetic analysis of 17-(allylamino)-17-demethoxygeldanamycin (17AAG) in adult patients with advanced malignancies

PURPOSE

17-(Allylamino)-17-demethoxygeldanamycin (17AAG) is a novel anticancer agent in clinical development. The objectives of this study were to develop a population pharmacokinetic model for 17AAG and its major metabolite, 17AG, and to investigate influences of patient characteristics and biochemical markers on pharmacokinetic parameters estimated for 17AAG and 17AG.

EXPERIMENTAL DESIGN

In a phase I clinical study, 17AAG was administered by intravenous infusion to 43 patients with refractory, advanced malignancies. Plasma concentrations of 17AAG and 17AG were determined by high-performance liquid chromatography. Plasma concentration vs time data were modeled using NONMEM. Nine covariates (age, sex, performance status, weight, height, body surface area, AST, bilirubin and serum creatinine) were investigated for their influences on individual pharmacokinetic parameters.

RESULTS

Plasma concentration vs time data were best described by a two-compartment model for 17AAG and a one-compartment model for 17AG. Volumes of distribution were 24.2 and 89.6 l for 17AAG. Total elimination clearances were 26.7 and 21.3 l/h for 17AAG and 17AG, respectively. Both fixed and random effects pharmacokinetic parameters were well estimated. None of the covariates explained the interindividual variability in 17AAG and 17AG pharmacokinetic parameters or improved the fit of the model based on objective function changes.

CONCLUSIONS

A population pharmacokinetic model was developed to describe 17AAG and 17AG population pharmacokinetic parameters and interindividual variabilities. There were substantial interindividual variabilities in 17AAG and 17AG pharmacokinetic parameters despite BSA-normalized dosing.

Plasma and Cerebrospinal Fluid Population Pharmacokinetics of Temozolomide in Malignant Glioma Patients

PURPOSE

Scarce information is available on the brain penetration of temozolomide (TMZ), although this novel methylating agent is mainly used for the treatment of malignant brain tumors. The purpose was to assess TMZ pharmacokinetics in plasma and cerebrospinal fluid (CSF) along with its inter-individual variability, to characterize covariates and to explore relationships between systemic or cerebral drug exposure and clinical outcomes.

EXPERIMENTAL DESIGN

TMZ levels were measured by high-performance liquid chromatography in plasma and CSF samples from 35 patients with newly diagnosed or recurrent malignant gliomas. The population pharmacokinetic analysis was performed with nonlinear mixed-effect modeling software. Drug exposure, defined by the area under the concentration-time curve (AUC) in plasma and CSF, was estimated for each patient and correlated with toxicity, survival, and progression-free survival.

RESULTS

A three-compartment model with first-order absorption and transfer rates between plasma and CSF described the data appropriately. Oral clearance was 10 liter/h; volume of distribution (V(D)), 30.3 liters; absorption constant rate, 5.8 h(-1); elimination half-time, 2.1 h; transfer rate from plasma to CSF (K(plasma-->CSF)), 7.2 x 10(-4)h(-1) and the backwards rate, 0.76 h(-1). Body surface area significantly influenced both clearance and V(D), and clearance was sex dependent. The AUC(CSF) corresponded to 20% of the AUC(plasma). A trend toward an increased K(plasma-->CSF) of 15% was observed in case of concomitant radiochemotherapy. No significant correlations between AUC in plasma or CSF and toxicity, survival, or progression-free survival were apparent after deduction of dose-effect.

CONCLUSIONS

This is the first human pharmacokinetic study on TMZ to quantify CSF penetration. The AUC(CSF)/AUC(plasma) ratio was 20%. Systemic or cerebral exposures are not better predictors than the cumulative dose alone for both efficacy and safety.

In vitro pharmacokinetic study of the novel anticancer agent E7070: red blood cell and plasma protein binding in human blood

E7070 is a novel sulfonamide anticancer agent that arrests the G(1)/S phase of the cell cycle. Preclinical and phase I studies have demonstrated non-linear pharmacokinetics (PK) of the drug. A population PK analysis revealed that the human plasma concentration-time data were best described by a three-compartment model with non-linear distribution. We have studied the in vitro interaction of 14C-radiolabeled E7070 with red blood cells (RBC) and its binding to plasma proteins in the concentration range where non-linearity in disposition was observed in humans to get more insight into the behavior of the drug. After the addition of E7070 to whole blood at 37 degrees C, the drug is taken up or binds to RBC in a concentration-dependent manner. The addition of sodium azide, however, did not result in a decrease of drug uptake by RBC, indicating passive diffusion processes. A non-linear increase in drug uptake was observed at incubation concentrations above 4 microg/ml E7070 in whole blood. This non-linearity was confirmed by lower partition coefficients between RBC and plasma at higher incubation concentrations (from 2.37 at 4 microg/ml to 0.31 at 200 microg/ml). The plasma protein binding of E7070 was high (98-99%) and linear in the concentration range studied (20-200 microg/ml). In conclusion, E7070 in whole blood is preferentially bound to RBC and exhibits high plasma protein binding. The non-linear distribution of E7070 in humans can be caused, in part at least, by saturable binding of E7070 to RBC.

Phase I clinical and pharmacokinetic study of E7070, a novel sulfonamide given as a 5-day continuous infusion repeated every 3 weeks in patients with solid tumours. A study by the EORTC Early Clinical Study Group (ECSG)

A single-agent dose-escalating phase I study on the novel sulfonamide E7070 was performed to determine the toxicity profile and the recommended dose for phase II studies. The pharmacokinetic profile of E7070 was also determined. E7070 was administered as a continuous infusion over 5 days repeated every 3 weeks. 27 patients were treated at doses ranging from 6 to 200 mg/m(2)/day. As with other administration schedules, the dose-limiting toxicities were dose-dependent, reversible neutropenia and thrombocytopenia. Although no objective responses were observed, seven patients had stable disease. E7070 displayed a non-linear pharmacokinetic profile, especially at dose-levels greater than 24 mg/m(2)/day, with a reduction in clearance and an increase in the half-life at the higher dose levels. The risk of myelosuppression became significant with an AUC greater than 4000 microg h/ml. The recommended dose of E7070 for further studies is 96 mg/m(2)/day when administered on a 5-day continuous infusion schedule every 3 weeks.

Population pharmacokinetics of the novel anticancer agent E7070 during four phase I studies: model building and validation

PURPOSE

N-(3-Chloro-7-indolyl)-1,4-benzenedisulfonamide (E7070) is a novel sulfonamide anticancer agent currently in phase II clinical development for the treatment of solid tumors. Four phase I studies have been finalized, with E7070 administered at four different treatment schedules to identify the maximum-tolerated dose and the dose-limiting toxicities. Pharmacokinetic analyses of all studies revealed E7070 to have nonlinear pharmacokinetics. A population pharmacokinetic model was designed and validated to describe the pharmacokinetics of E7070 at all four treatment schedules and to identify the possible influences of patient characteristics on the pharmacokinetic parameters.

PATIENTS AND METHODS

Plasma concentration-time data of all patients (n = 143) were fitted to several pharmacokinetic models using NONMEM. Seventeen covariables were investigated for their relation with individual pharmacokinetic parameters. A bootstrap procedure was performed to check the validity of the model.

RESULTS

The data were best described using a three-compartment model with nonlinear distribution to a peripheral compartment and two parallel pathways of elimination from the central compartment: a linear and a saturable pathway. Body-surface area (BSA) was significantly correlated to both the volume of distribution of the central compartment and to the maximal elimination capacity. The fits of 500 bootstrap replicates of the data set demonstrated the robustness of the developed population pharmacokinetic model.

CONCLUSION

A population pharmacokinetic model has been designed and validated that accurately describes the data of four phase I studies with E7070. Furthermore, it has been demonstrated that BSA-guided dosing for E7070 is important.