An overview of statistical methods for biomarkers relevant to early clinical development of cancer immunotherapies.
Front Immunol
; 15: 1351584, 2024.
Article
en En
| MEDLINE
| ID: mdl-39234243
ABSTRACT
Over the last decade, a new paradigm for cancer therapies has emerged which leverages the immune system to act against the tumor. The novel mechanism of action of these immunotherapies has also introduced new challenges to drug development. Biomarkers play a key role in several areas of early clinical development of immunotherapies including the demonstration of mechanism of action, dose finding and dose optimization, mitigation and prevention of adverse reactions, and patient enrichment and indication prioritization. We discuss statistical principles and methods for establishing the prognostic, predictive aspect of a (set of) biomarker and for linking the change in biomarkers to clinical efficacy in the context of early development studies. The methods discussed are meant to avoid bias and produce robust and reproducible conclusions. This review is targeted to drug developers and data scientists interested in the strategic usage and analysis of biomarkers in the context of immunotherapies.
Palabras clave
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Biomarcadores de Tumor
/
Inmunoterapia
/
Neoplasias
Límite:
Animals
/
Humans
Idioma:
En
Revista:
Front Immunol
Año:
2024
Tipo del documento:
Article
País de afiliación:
Suiza