A Comparative Study of Longitudinal Toxicities of Cytotoxic Drugs, Molecularly Targeted Agents, Immunomodulatory Drugs, and Cancer Vaccines.


Journal

Clinical pharmacology and therapeutics
ISSN: 1532-6535
Titre abrégé: Clin Pharmacol Ther
Pays: United States
ID NLM: 0372741

Informations de publication

Date de publication:
10 2019
Historique:
received: 10 12 2018
accepted: 25 02 2019
pubmed: 31 3 2019
medline: 14 5 2020
entrez: 31 3 2019
Statut: ppublish

Résumé

Little is known about the toxicity of various therapeutics for cancer over time because randomized controlled clinical trials that compare several treatments are limited. In this study, we focused on the toxicities most frequently discussed, which are investigations (lab abnormalities), gastrointestinal disorders, skin and subcutaneous tissue disorders, and cardiac disorders, and compared their longitudinal toxicity data among four types of cancer therapeutics. In total, 28,235 patients who were enrolled into 772 early-phase trials to evaluate the monotherapies of cytotoxic drugs, molecularly targeted agents, immunomodulatory drugs, or cancer vaccines were evaluated. For each toxicity, we compared their grade prevalence, mean grade at each cycle, and time to toxicity occurrence and identified the potential underlying similarities and differences of longitudinal toxicities among the four cancer treatment types. Our results will further help in understanding the profile of cancer therapeutic toxicities and their impact on oncology treatment in practice.

Identifiants

pubmed: 30927439
doi: 10.1002/cpt.1442
doi:

Substances chimiques

Antineoplastic Agents 0
Cancer Vaccines 0
Cytotoxins 0
Immunologic Factors 0

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

803-809

Informations de copyright

© 2019 The Authors Clinical Pharmacology & Therapeutics © 2019 American Society for Clinical Pharmacology and Therapeutics.

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Auteurs

Akihiro Hirakawa (A)

Department of Biostatistics and Bioinformatics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.

Kazuki Sudo (K)

Department of Breast and Medical Oncology, National Cancer Center Hospital, National Cancer Center, Tokyo, Japan.

Kan Yonemori (K)

Department of Breast and Medical Oncology, National Cancer Center Hospital, National Cancer Center, Tokyo, Japan.
Department of Experimental Therapeutics, National Cancer Center Hospital, National Cancer Center, Tokyo, Japan.
Investigational Drug Branch, Cancer Therapy Evaluation Program, Division of Cancer Treatment and Diagnosis, National Cancer Institute, National Institute of Health, Rockville, Maryland, USA.

Ryo Sadachi (R)

Department of Biostatistics and Bioinformatics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.

Fumie Kinoshita (F)

Department of Advanced Medicine, Statistical Analysis Section, Nagoya University Hospital, Aichi, Japan.

Yumiko Kobayashi (Y)

Department of Advanced Medicine, Statistical Analysis Section, Nagoya University Hospital, Aichi, Japan.

Hitomi S Okuma (HS)

Department of Breast and Medical Oncology, National Cancer Center Hospital, National Cancer Center, Tokyo, Japan.

Asuka Kawachi (A)

Department of Breast and Medical Oncology, National Cancer Center Hospital, National Cancer Center, Tokyo, Japan.

Kenji Tamura (K)

Department of Breast and Medical Oncology, National Cancer Center Hospital, National Cancer Center, Tokyo, Japan.

Yasuhiro Fujiwara (Y)

Department of Breast and Medical Oncology, National Cancer Center Hospital, National Cancer Center, Tokyo, Japan.

Larry Rubinstein (L)

Biometric Research Program, Division of Cancer Treatment and Diagnosis, National Cancer Institute, National Institute of Health, Rockville, Maryland, USA.

Naoko Takebe (N)

Investigational Drug Branch, Cancer Therapy Evaluation Program, Division of Cancer Treatment and Diagnosis, National Cancer Institute, National Institute of Health, Rockville, Maryland, USA.

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