A validated integrated clinical and molecular glioblastoma long-term survival-predictive nomogram Ferguson, Sherise D., Hodges, Tiffany R., Majd, Nazanin K., Alfaro-Munoz, Kristin, Al-Holou, Wajd N., Suki, Dima, de Groot, John F., Fuller, Gregory N. and Khasraw, Mustafa 2021, A validated integrated clinical and molecular glioblastoma long-term survival-predictive nomogram, Neuro-Oncology Advances, vol. 3, no. 1, January-December, pp. vdaa146-vdaa146, doi: 10.1093/noajnl/vdaa146. Attached Files Name Description MIMEType Size Downloads Title A validated integrated clinical and molecular glioblastoma long-term survival-predictive nomogram Author(s) Ferguson, Sherise D. Hodges, Tiffany R. Majd, Nazanin K. Alfaro-Munoz, Kristin Al-Holou, Wajd N. Suki, Dima de Groot, John F. Fuller, Gregory N. Khasraw, Mustafa orcid.org/0000-0003-3249-9849 Journal name Neuro-Oncology Advances Volume number 3 Issue number 1 Season January-December Start page vdaa146 End page vdaa146 Publisher Oxford University Press Place of publication Oxford, Eng. Publication date 2021-01 ISSN 2632-2498 2632-2498 Keyword(s) glioblastoma long-term survival nomogram outcome prediction Summary BackgroundGlioblastoma (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.MethodsA 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.ResultsUnivariate 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).ConclusionsOur 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. Language eng DOI 10.1093/noajnl/vdaa146 Indigenous content off HERDC Research category C1 Refereed article in a scholarly journal Free to Read? Yes Persistent URL http://hdl.handle.net/10536/DRO/DU:30147246 Document type: Journal Article Collections: Faculty of Health School of Medicine Open Access Collection Related Links Link Description Link to full-text (open access)     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au. Versions Version Filter Type Fri, 15 Jan 2021, 07:19:33 EST Sat, 16 Jan 2021, 04:01:13 EST Mon, 18 Jan 2021, 07:02:29 EST Tue, 19 Jan 2021, 05:08:09 EST Wed, 20 Jan 2021, 12:40:17 EST Wed, 20 Jan 2021, 12:44:34 EST Wed, 20 Jan 2021, 12:48:46 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 40 Abstract Views, 0 File Downloads  -  Detailed Statistics Created: Fri, 15 Jan 2021, 07:19:33 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.