Evaluation of adherence to abiraterone therapy in prostate cancer patients based on a population pharmacokinetic model.

AIMS: Abiraterone treatment requires regular drug intake under fasting conditions due to pronounced food effect, which may impact patient adherence. The aim of this prospective study was to evaluate adherence to abiraterone treatment in patients with prostate cancer. To achieve this aim, an abiraterone population pharmacokinetic model was developed and patients' adherence has been estimated by comparison of measured levels of abiraterone with population model-based simulations. METHODS: A total of 1469 abiraterone plasma levels from 83 healthy volunteers collected in a bioequivalence study were analysed using a nonlinear mixed-effects model. Monte Carlo simulation was used to describe the theoretical distribution of abiraterone pharmacokinetic profiles at a dose of 1000 mg once daily. Adherence of 36 prostate cancer patients treated with abiraterone was then evaluated by comparing the real abiraterone concentration measured in each patient during follow-up visit with the theoretical distribution of profiles based on simulations. Patients whose abiraterone levels were ˂5th or ˃95th percentile of the distribution of simulated profiles were considered to be non-adherent. RESULTS: Based on this evaluation, 13 patients (36%) have been classified as non-adherent. We observed significant association (P = .0361) between richness of the breakfast and rate of non-adherence. Adherent patients reported significantly better overall condition in self-assessments (P = .0384). A trend towards a higher occurrence of adverse effects in non-adherent patients was observed. CONCLUSIONS: We developed an abiraterone population pharmacokinetic model and proposed an advanced approach to medical adherence evaluation. Due to the need for administration under fasting conditions, abiraterone therapy is associated with a relatively high rate of non-adherence.

7-Azaindole, 2,7-diazaindole, and 1H-pyrazole as core structures for novel anticancer agents with potential chemosensitizing properties.

Chemoresistance of cancer cells is a hallmark of treatment failure and the poor patient prognosis. The mechanism of resistance is often connected to the overexpression of specific kinases involved in DNA damage response cascade. Contrary, selected kinase inhibition can augment cancer cell sensitization to conventional therapy, enabling more efficient treatment. Among those kinases, ataxia-telangiectasia and Rad3-related kinase (ATR), the major responder to replication stress, stands out as one of the most attractive targets. Inspired by clinical candidates targeting ATR, we designed and prepared a small, focused library of 40 novel compounds building on 7-azaindoles, 2,7-diazaindoles, and 1H-pyrazoles as core structures. All the compounds alone or combined with cisplatin (CDDP) were screened against a panel of nine cancer cell lines and one healthy cell line. Three highlighted compounds (3, 22, and 29) were selected for broad oncology panel screening containing 104 kinases. Only compound 29, the 2,7-diazaindole representative, showed ATR inhibitory efficacy with the IC50 around 10 µM. In contrast, the compound 22, 7-azaindole congener with the most pronounced cytotoxicity profile exceeding CDDP alone or in combination with CDDP, expressed the multi-kinase activity. Highlighted representatives, including compound 29, were also effective alone against primary glioblastoma. Overall, we showed that 7-azaindole, and 2,7-diazaindole scaffolds could be considered novel pharmacophores delivering anticancer activity.