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A validated integrated clinical and molecular glioblastoma long-term survival-predictive nomogram.

Authors :
Ferguson SD
Hodges TR
Majd NK
Alfaro-Munoz K
Al-Holou WN
Suki D
de Groot JF
Fuller GN
Xue L
Li M
Jacobs C
Rao G
Colen RR
Xiu J
Verhaak R
Spetzler D
Khasraw M
Sawaya R
Long JP
Heimberger AB
Source :
Neuro-oncology advances [Neurooncol Adv] 2020 Oct 31; Vol. 3 (1), pp. vdaa146. Date of Electronic Publication: 2020 Oct 31 (Print Publication: 2021).
Publication Year :
2020

Abstract

Background: Glioblastoma (GBM) is the most common primary malignant brain tumor in adulthood. Despite multimodality treatments, including maximal safe resection followed by irradiation and chemotherapy, the median overall survival times range from 14 to 16 months. However, a small subset of GBM patients live beyond 5 years and are thus considered long-term survivors.<br />Methods: A retrospective analysis of the clinical, radiographic, and molecular features of patients with newly diagnosed primary GBM who underwent treatment at The University of Texas MD Anderson Cancer Center was conducted. Eighty patients had sufficient quantity and quality of tissue available for next-generation sequencing and immunohistochemical analysis. Factors associated with survival time were identified using proportional odds ordinal regression. We constructed a survival-predictive nomogram using a forward stepwise model that we subsequently validated using The Cancer Genome Atlas.<br />Results: Univariate analysis revealed 3 pivotal genetic alterations associated with GBM survival: both high tumor mutational burden ( P = .0055) and PTEN mutations ( P = .0235) negatively impacted survival, whereas IDH1 mutations positively impacted survival ( P < .0001). Clinical factors significantly associated with GBM survival included age ( P < .0001), preoperative Karnofsky Performance Scale score ( P = .0001), sex ( P = .0164), and clinical trial participation ( P < .0001). Higher preoperative T1-enhancing volume ( P = .0497) was associated with shorter survival. The ratio of TI-enhancing to nonenhancing disease (T1/T2 ratio) also significantly impacted survival ( P = .0022).<br />Conclusions: Our newly devised long-term survival - predictive nomogram based on clinical and genomic data can be used to advise patients regarding their potential outcomes and account for confounding factors in nonrandomized clinical trials.<br /> (© The Author(s) 2020. Published by Oxford University Press, the Society for Neuro-Oncology and the European Association of Neuro-Oncology.)

Details

Language :
English
ISSN :
2632-2498
Volume :
3
Issue :
1
Database :
MEDLINE
Journal :
Neuro-oncology advances
Publication Type :
Academic Journal
Accession number :
33426529
Full Text :
https://doi.org/10.1093/noajnl/vdaa146