Optimizing Oral Targeted Anticancer Therapies Study for Patients With Solid Cancer: Protocol for a Randomized Controlled Medication Adherence Program Along With Systematic Collection and Modeling of Pharmacokinetic and Pharmacodynamic Data.

NONMEM adherence electronic measure interprofessional program medication adherence motivational interviewing neoplasms oral anticancer therapies pharmacodynamics pharmacokinetics

Journal

JMIR research protocols
ISSN: 1929-0748
Titre abrégé: JMIR Res Protoc
Pays: Canada
ID NLM: 101599504

Informations de publication

Date de publication:
29 Jun 2021
Historique:
received: 19 05 2021
accepted: 26 05 2021
revised: 26 05 2021
entrez: 29 6 2021
pubmed: 30 6 2021
medline: 30 6 2021
Statut: epublish

Résumé

The strengthening or substitution of intravenous cytotoxic chemotherapy cycles by oral targeted anticancer therapies, such as protein kinase inhibitors (PKIs), has provided impressive clinical benefits and autonomy as well as a better quality of life for patients with cancer. Despite these advances, adverse event management at home and medication adherence remain challenging. In addition, PKI plasma concentrations vary significantly among patients with cancer receiving the same dosage, which could explain part of the observed variability in the therapeutic response. The aim of this optimizing oral targeted anticancer therapies (OpTAT) study is to optimize and individualize targeted anticancer treatments to improve patient care and self-monitoring through an interprofessional medication adherence program (IMAP) combined with measurement PKI plasma concentrations. The OpTAT study has two parts: (1) a 1:1 randomized medication adherence program, in which the intervention consists of regular motivational interviewing sessions between the patient and the pharmacist, along with the delivery of PKIs in electronic monitors, and (2) a systematic collection of blood samples and clinical and biological data for combined pharmacokinetic and pharmacodynamic analysis. On the basis of the electronic monitor data, medication adherence will be compared between groups following the three operational definitions: implementation of treatment during the persistent period, persistence with treatment and longitudinal adherence. The implementation will be described using generalized estimating equation models. The persistence of PKI use will be represented using a Kaplan-Meier survival curve. Longitudinal adherence is defined as the product of persistence and implementation. PKI pharmacokinetics will be studied using a population approach. The relationship between drug exposure and efficacy outcomes will be explored using Cox regression analysis of progression-free survival. The relationship between drug exposure and toxicity will be analyzed using a pharmacokinetic-pharmacodynamic model and by logistic regression analysis. Receiver operating characteristic analyses will be applied to evaluate the best exposure threshold associated with clinical benefits. The first patient was included in May 2015. As of June 2021, 262 patients had participated in at least one part of the study: 250 patients gave at least one blood sample, and 130 participated in the adherence study. Data collection is in process, and the final data analysis is planned to be performed in 2022. The OpTAT study will inform us about the effectiveness of the IMAP program in patients with solid cancers treated with PKIs. It will also shed light on PKI pharmacokinetic and pharmacodynamic properties, with the aim of learning how to adapt the PKI dosage at the individual patient level to increase PKI clinical suitability. The IMAP program will enable interprofessional teams to learn about patients' needs and to consider their concerns about their PKI self-management, considering the patient as an active partner. ClinicalTrials.gov NCT04484064; https://clinicaltrials.gov/ct2/show/NCT04484064. DERR1-10.2196/30090.

Sections du résumé

BACKGROUND BACKGROUND
The strengthening or substitution of intravenous cytotoxic chemotherapy cycles by oral targeted anticancer therapies, such as protein kinase inhibitors (PKIs), has provided impressive clinical benefits and autonomy as well as a better quality of life for patients with cancer. Despite these advances, adverse event management at home and medication adherence remain challenging. In addition, PKI plasma concentrations vary significantly among patients with cancer receiving the same dosage, which could explain part of the observed variability in the therapeutic response.
OBJECTIVE OBJECTIVE
The aim of this optimizing oral targeted anticancer therapies (OpTAT) study is to optimize and individualize targeted anticancer treatments to improve patient care and self-monitoring through an interprofessional medication adherence program (IMAP) combined with measurement PKI plasma concentrations.
METHODS METHODS
The OpTAT study has two parts: (1) a 1:1 randomized medication adherence program, in which the intervention consists of regular motivational interviewing sessions between the patient and the pharmacist, along with the delivery of PKIs in electronic monitors, and (2) a systematic collection of blood samples and clinical and biological data for combined pharmacokinetic and pharmacodynamic analysis. On the basis of the electronic monitor data, medication adherence will be compared between groups following the three operational definitions: implementation of treatment during the persistent period, persistence with treatment and longitudinal adherence. The implementation will be described using generalized estimating equation models. The persistence of PKI use will be represented using a Kaplan-Meier survival curve. Longitudinal adherence is defined as the product of persistence and implementation. PKI pharmacokinetics will be studied using a population approach. The relationship between drug exposure and efficacy outcomes will be explored using Cox regression analysis of progression-free survival. The relationship between drug exposure and toxicity will be analyzed using a pharmacokinetic-pharmacodynamic model and by logistic regression analysis. Receiver operating characteristic analyses will be applied to evaluate the best exposure threshold associated with clinical benefits.
RESULTS RESULTS
The first patient was included in May 2015. As of June 2021, 262 patients had participated in at least one part of the study: 250 patients gave at least one blood sample, and 130 participated in the adherence study. Data collection is in process, and the final data analysis is planned to be performed in 2022.
CONCLUSIONS CONCLUSIONS
The OpTAT study will inform us about the effectiveness of the IMAP program in patients with solid cancers treated with PKIs. It will also shed light on PKI pharmacokinetic and pharmacodynamic properties, with the aim of learning how to adapt the PKI dosage at the individual patient level to increase PKI clinical suitability. The IMAP program will enable interprofessional teams to learn about patients' needs and to consider their concerns about their PKI self-management, considering the patient as an active partner.
TRIAL REGISTRATION BACKGROUND
ClinicalTrials.gov NCT04484064; https://clinicaltrials.gov/ct2/show/NCT04484064.
INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) UNASSIGNED
DERR1-10.2196/30090.

Identifiants

pubmed: 34185020
pii: v10i6e30090
doi: 10.2196/30090
pmc: PMC8278299
doi:

Banques de données

ClinicalTrials.gov
['NCT04484064']

Types de publication

Journal Article

Langues

eng

Pagination

e30090

Informations de copyright

©Carole Bandiera, Evelina Cardoso, Isabella Locatelli, Antonia Digklia, Khalil Zaman, Antonella Diciolla, Valérie Cristina, Athina Stravodimou, Aedo Lopez Veronica, Ana Dolcan, Apostolos Sarivalasis, Aikaterini Liapi, Hasna Bouchaab, Angela Orcurto, Jennifer Dotta-Celio, Solange Peters, Laurent Decosterd, Nicolas Widmer, Dorothea Wagner, Chantal Csajka, Marie Paule Schneider. Originally published in JMIR Research Protocols (https://www.researchprotocols.org), 29.06.2021.

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Auteurs

Carole Bandiera (C)

School of Pharmaceutical Sciences, University of Geneva, Geneva, Switzerland.
Institute of Pharmaceutical Sciences of Western Switzerland, University of Geneva, Geneva, Switzerland.
Center for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne, Switzerland.

Evelina Cardoso (E)

Center for Research and Innovation in Clinical Pharmaceutical Sciences, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.

Isabella Locatelli (I)

Center for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne, Switzerland.

Antonia Digklia (A)

Department of Oncology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.

Khalil Zaman (K)

Department of Oncology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.

Antonella Diciolla (A)

Department of Oncology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.

Valérie Cristina (V)

Department of Oncology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.

Athina Stravodimou (A)

Department of Oncology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.

Aedo Lopez Veronica (AL)

Department of Oncology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.

Ana Dolcan (A)

Department of Oncology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.

Apostolos Sarivalasis (A)

Department of Oncology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.

Aikaterini Liapi (A)

Department of Oncology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.

Hasna Bouchaab (H)

Department of Oncology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.

Angela Orcurto (A)

Department of Oncology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.

Jennifer Dotta-Celio (J)

Center for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne, Switzerland.

Solange Peters (S)

Department of Oncology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.

Laurent Decosterd (L)

Service of Clinical Pharmacology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.

Nicolas Widmer (N)

Institute of Pharmaceutical Sciences of Western Switzerland, University of Geneva, Geneva, Switzerland.
Service of Clinical Pharmacology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
School of Pharmaceutical Sciences, University of Lausanne, Lausanne, Switzerland.
Pharmacy of the Eastern Vaud Hospitals, Rennaz, Switzerland.

Dorothea Wagner (D)

Department of Oncology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.

Chantal Csajka (C)

Institute of Pharmaceutical Sciences of Western Switzerland, University of Geneva, Geneva, Switzerland.
Center for Research and Innovation in Clinical Pharmaceutical Sciences, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
School of Pharmaceutical Sciences, University of Lausanne, Lausanne, Switzerland.

Marie Paule Schneider (MP)

School of Pharmaceutical Sciences, University of Geneva, Geneva, Switzerland.
Institute of Pharmaceutical Sciences of Western Switzerland, University of Geneva, Geneva, Switzerland.

Classifications MeSH