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基于胶质母细胞瘤有反应的极端幸存者(ENDURES)的环境动态:基于多学科团队的多因素分析方法。

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

机构信息

Mathematical Neuro-Oncology Laboratory, Precision Neurotherapeutics Innovation Program.

Department of Radiology, University of Washington.

出版信息

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

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.

摘要

尽管胶质母细胞瘤(GBM)是一种致命的原发性脑癌,中位生存时间仅为 15 个月,但仍有一小部分患者在诊断后能存活超过 5 年;这些患者被称为极端幸存者(ES)。由于它们的罕见性,我们对这些异常值与其他 GBM 患者有何不同知之甚少。为了确定 GBM 中极端生存的未知驱动因素,开发了 ENDURES 联盟(GBM 极端幸存者的环境动力学)。该联盟是一个多中心合作网络,由专注于整合多种类型临床数据的研究人员组成,并创建了由影像学和组织学参数提供信息的肿瘤生长的患者特异性模型。利用我们的综合资源,ENDURES 联盟的目标有两个:(1)建立一个经过策划、可搜索、多层次的存储库,其中包含大量 GBM 极端幸存者的临床和结果数据;(2)利用 ENDURES 存储库深入了解肿瘤行为,并为所有 GBM 患者延长生存提供新的目标。本文作者回顾了现有文献,并讨论了已知的关于 ES 的内容。然后,作者描述了他们联盟的创建以及一些初步结果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c532/7416695/6592fccd0e68/nihms-1608673-f0001.jpg

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