Real-world health utility scores and toxicities to tyrosine kinase inhibitors in epidermal growth factor receptor mutated advanced non-small cell lung cancer.


Journal

Cancer medicine
ISSN: 2045-7634
Titre abrégé: Cancer Med
Pays: United States
ID NLM: 101595310

Informations de publication

Date de publication:
12 2019
Historique:
received: 28 07 2019
revised: 09 09 2019
accepted: 11 09 2019
pubmed: 28 10 2019
medline: 17 9 2020
entrez: 26 10 2019
Statut: ppublish

Résumé

As the treatment landscape in patients with non-small cell lung cancer (NSCLC) harboring mutations in the epidermal growth factor receptor (EGFRm) continues to evolve, real-world health utility scores (HUS) become increasingly important for economic analyses. In an observational cohort study, questionnaires were completed in EGFRm NSCLC outpatients, to include demographics, EQ-5D-based HUS and patient-reported toxicity and symptoms. Clinical and radiologic characteristics together with outcomes were extracted from chart review. The impact of health states, treatment type, toxicities, and clinical variables on HUS were evaluated. Between 2014 and 2018, a total of 260 patients completed 994 encounters. Across treatment groups, patients with disease progression had lower HUS compared to controlled disease (0.771 vs 0.803; P = .01). Patients predominantly received gefitinib as the first-line EGFR tyrosine kinase inhibitor (TKI) (n = 157, mean-HUS = 0.798), whereas osimertinib (n = 62, mean-HUS = 0.806) and chemotherapy (n = 38, mean-HUS = 0.721) were more likely used in subsequent treatment lines. In longitudinal analysis, TKIs retained high HUS (>0.78) compared to chemotherapy (HUS < 0.74). There were no differences between the frequency or severity of toxicity scores in patients receiving gefitinib compared to osimertinib; however, TKI therapy resulted in fewer toxicities than chemotherapy (P < .05), with the exception of worse diarrhea and skin rash (P < .001). Severity in toxicities inversely correlated with HUS (P < .001). Clinico-demographic factors significantly affecting HUS included age, Eastern Cooperative Oncology Group Performance Score (ECOG PS), disease state, treatment group, and metastatic burden. In a real-world EGFRm population, patients treated with gefitinib or osimertinib had similar HUS and toxicities, scores which were superior to chemotherapy. Health utility scores inversely correlated with patient-reported toxicity scores. In the era of targeted therapies, future economic analyses should incorporate real-world HUS.

Sections du résumé

BACKGROUND
As the treatment landscape in patients with non-small cell lung cancer (NSCLC) harboring mutations in the epidermal growth factor receptor (EGFRm) continues to evolve, real-world health utility scores (HUS) become increasingly important for economic analyses.
METHODS
In an observational cohort study, questionnaires were completed in EGFRm NSCLC outpatients, to include demographics, EQ-5D-based HUS and patient-reported toxicity and symptoms. Clinical and radiologic characteristics together with outcomes were extracted from chart review. The impact of health states, treatment type, toxicities, and clinical variables on HUS were evaluated.
RESULTS
Between 2014 and 2018, a total of 260 patients completed 994 encounters. Across treatment groups, patients with disease progression had lower HUS compared to controlled disease (0.771 vs 0.803; P = .01). Patients predominantly received gefitinib as the first-line EGFR tyrosine kinase inhibitor (TKI) (n = 157, mean-HUS = 0.798), whereas osimertinib (n = 62, mean-HUS = 0.806) and chemotherapy (n = 38, mean-HUS = 0.721) were more likely used in subsequent treatment lines. In longitudinal analysis, TKIs retained high HUS (>0.78) compared to chemotherapy (HUS < 0.74). There were no differences between the frequency or severity of toxicity scores in patients receiving gefitinib compared to osimertinib; however, TKI therapy resulted in fewer toxicities than chemotherapy (P < .05), with the exception of worse diarrhea and skin rash (P < .001). Severity in toxicities inversely correlated with HUS (P < .001). Clinico-demographic factors significantly affecting HUS included age, Eastern Cooperative Oncology Group Performance Score (ECOG PS), disease state, treatment group, and metastatic burden.
CONCLUSIONS
In a real-world EGFRm population, patients treated with gefitinib or osimertinib had similar HUS and toxicities, scores which were superior to chemotherapy. Health utility scores inversely correlated with patient-reported toxicity scores. In the era of targeted therapies, future economic analyses should incorporate real-world HUS.

Identifiants

pubmed: 31650705
doi: 10.1002/cam4.2603
pmc: PMC6912023
doi:

Substances chimiques

Protein Kinase Inhibitors 0
ErbB Receptors EC 2.7.10.1

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

7542-7555

Subventions

Organisme : AstraZeneca Canada
Pays : International
Organisme : Posluns Family Fund
Pays : International
Organisme : Alan Brown Chair in Molecular Genomics
Pays : International
Organisme : University of Toronto
Pays : International
Organisme : Canadian Cancer Society Research Institute
Pays : International
Organisme : Lusi Wong Early Detection of Lung Cancer Program
Pays : International

Informations de copyright

© 2019 The Authors. Cancer Medicine published by John Wiley & Sons Ltd.

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Auteurs

Shirley Xue Jiang (SX)

Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada.
Faculty of Medicine, University of Toronto, Toronto, ON, Canada.

Ryan N Walton (RN)

AstraZeneca Canada, Mississauga, ON, Canada.

Katrina Hueniken (K)

Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada.

Justine Baek (J)

Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada.
Faculty of Medicine, University of Toronto, Toronto, ON, Canada.

Alexandra McCartney (A)

Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada.

Catherine Labbé (C)

Insitut Universitaire de Cardiologie et de Pneumologie de Québec, Université Laval, Québec, QC, Canada.

Elliot Smith (E)

Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada.
Faculty of Medicine, University of Toronto, Toronto, ON, Canada.

Sze Wah Samuel Chan (SWS)

Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada.
Faculty of Medicine, University of Toronto, Toronto, ON, Canada.

RuiQi Chen (R)

Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada.
Faculty of Medicine, University of Toronto, Toronto, ON, Canada.

Catherine Brown (C)

Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada.

Devalben Patel (D)

Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada.

Mindy Liang (M)

Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada.

Lawson Eng (L)

Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada.
Faculty of Medicine, University of Toronto, Toronto, ON, Canada.

Adrian Sacher (A)

Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada.
Faculty of Medicine, University of Toronto, Toronto, ON, Canada.

Penelope Bradbury (P)

Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada.
Faculty of Medicine, University of Toronto, Toronto, ON, Canada.

Natasha B Leighl (NB)

Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada.
Faculty of Medicine, University of Toronto, Toronto, ON, Canada.

Frances A Shepherd (FA)

Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada.
Faculty of Medicine, University of Toronto, Toronto, ON, Canada.

Wei Xu (W)

Biostatistics, Princess Margaret Cancer Centre and Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada.

Geoffrey Liu (G)

Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada.
Faculty of Medicine, University of Toronto, Toronto, ON, Canada.
Biostatistics, Princess Margaret Cancer Centre and Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada.
Epidemiology, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada.

Manjusha Hurry (M)

AstraZeneca Canada, Mississauga, ON, Canada.

Grainne M O'Kane (GM)

Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada.
Faculty of Medicine, University of Toronto, Toronto, ON, Canada.

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