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Accessible Data Collections for Improved Decision Making in Neuro-Oncology Clinical Trials.
Rahman, Rifaquat; Ventz, Steffen; Redd, Robert; Cloughesy, Timothy; Alexander, Brian M; Wen, Patrick Y; Trippa, Lorenzo.
Afiliação
  • Rahman R; Department of Radiation Oncology, Dana-Farber/Brigham and Women's Cancer Center, Harvard Medical School, Boston, Massachusetts.
  • Ventz S; Division of Biostatistics, University of Minnesota, Minnesota, Minnesota.
  • Redd R; MS Department of Data Sciences, Dana-Farber Cancer Institute, Boston, Massachusetts.
  • Cloughesy T; Neuro-Oncology Program and Department of Neurology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California.
  • Alexander BM; Department of Radiation Oncology, Dana-Farber/Brigham and Women's Cancer Center, Harvard Medical School, Boston, Massachusetts.
  • Wen PY; Foundation Medicine, Inc., Cambridge, Massachusetts.
  • Trippa L; Center for Neuro-Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts.
Clin Cancer Res ; 29(12): 2194-2198, 2023 06 13.
Article em En | MEDLINE | ID: mdl-36939557
ABSTRACT
Drug development can be associated with slow timelines, particularly for rare or difficult-to-treat solid tumors such as glioblastoma. The use of external data in the design and analysis of trials has attracted significant interest because it has the potential to improve the efficiency and precision of drug development. A recurring challenge in the use of external data for clinical trials, however, is the difficulty in accessing high-quality patient-level data. Academic research groups generally do not have access to suitable datasets to effectively leverage external data for planning and analyses of new clinical trials. Given the need for resources to enable investigators to benefit from existing data assets, we have developed the Glioblastoma External (GBM-X) Data Platform which will allow investigators in neuro-oncology to leverage our data collection and obtain analyses. GBM-X strives to provide an uncomplicated process to use external data, contextualize single-arm trials, and improve inference on treatment effects early in drug development. The platform is designed to welcome interested collaborators and integrate new data into the platform, with the expectation that the data collection can continue to grow and remain updated. With such features, GBM-X is designed to help to accelerate evaluation of therapies, to grow with collaborations, and to serve as a model to improve drug discovery for rare and difficult-to-treat tumors in oncology.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Glioblastoma Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Glioblastoma Idioma: En Ano de publicação: 2023 Tipo de documento: Article