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Am J Clin Oncol. 2019 Aug;42(8):655-661. doi: 10.1097/COC.0000000000000564.

ENvironmental Dynamics Underlying Responsive Extreme Survivors (ENDURES) of Glioblastoma: A Multidisciplinary Team-based, Multifactorial Analytical Approach.

Author information

1
Mathematical Neuro-Oncology Laboratory, Precision Neurotherapeutics Innovation Program.
2
Department of Radiology, University of Washington.
3
Departments of Neurology.
4
Department of Cancer Physiology & Cancer Epidemiology.
5
Department of Pathology, Neuropathology Division, University of Washington Medical Center, Seattle, WA.
6
Radiology.
7
Department of Radiation Oncology, Mayo Clinic, Rochester, MN.
8
Radiology and Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL.
9
Cancer Biology and Evolution Program.
10
Cancer Epidemiology Program, Moffitt Cancer Center, Tampa, FL.
11
Department of Pathology and Cell Biology, Division of Neuropathology, Columbia University School of Medicine, New York, NY.
12
Neurosurgery, Mayo Clinic, Phoenix.
13
School of Mathematical and Statistical Sciences, Arizona State University, Tempe, AZ.

Abstract

Although glioblastoma (GBM) is a fatal primary brain cancer with short median survival of 15 months, a small number of patients survive >5 years after diagnosis; they are known as extreme survivors (ES). Because of their rarity, very little is known about what differentiates these outliers from other patients with GBM. For the purpose of identifying unknown drivers of extreme survivorship in GBM, the ENDURES consortium (ENvironmental Dynamics Underlying Responsive Extreme Survivors of GBM) was developed. This consortium is a multicenter collaborative network of investigators focused on the integration of multiple types of clinical data and the creation of patient-specific models of tumor growth informed by radiographic and histologic parameters. Leveraging our combined resources, the goals of the ENDURES consortium are 2-fold: (1) to build a curated, searchable, multilayered repository housing clinical and outcome data on a large cohort of ES patients with GBM; and (2) to leverage the ENDURES repository for new insights into tumor behavior and novel targets for prolonging survival for all patients with GBM. In this article, the authors review the available literature and discuss what is already known about ES. The authors then describe the creation of their consortium and some preliminary results.

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