Literature DB >> 33718145

A Prognostic Model for Glioblastoma Patients Treated With Standard Therapy Based on a Prospective Cohort of Consecutive Non-Selected Patients From a Single Institution.

Armita Armina Abedi1,2, Kirsten Grunnet1,2, Ib Jarle Christensen3, Signe Regner Michaelsen1,4, Aida Muhic2, Søren Møller1,2, Benedikte Hasselbalch1,2, Hans Skovgaard Poulsen1,2, Thomas Urup1,2.   

Abstract

BACKGROUND: Glioblastoma patients administered standard therapies, comprising maximal surgical resection, radiation therapy with concomitant and adjuvant temozolomide, have a variable prognosis with a median overall survival of 15-16 months and a 2-year overall survival of 30%. The aim of this study was to develop a prognostic nomogram for overall survival for glioblastoma patients treated with standard therapy outside clinical trials.
METHODS: The study included 680 consecutive, non-selected glioblastoma patients administered standard therapy as primary treatment between the years 2005 and 2016 at Rigshospitalet, Copenhagen, Denmark. The prognostic model was generated employing multivariate Cox regression analysis modeling overall survival.
RESULTS: The following poor prognostic factors were included in the final prognostic model for overall survival: Age (10-year increase: HR = 1.18, 95% CI: 1.08-1.28, p < 0.001), ECOG performance status (PS) 1 vs. 0 (HR = 1.30, 95% CI: 1.07-1.57, p = 0.007), PS 2 vs. 0 (HR = 2.99, 95% CI: 1.99-4.50, p < 0.001), corticosteroid use (HR = 1.42, 95% CI: 1.18-1.70, p < 0.001), multifocal disease (HR = 1.63, 95% CI: 1.25-2.13, p < 0.001), biopsy vs. resection (HR = 1.35, 95% CI: 1.04-1.72, p = 0.02), un-methylated promoter of the MGMT (O6-methylguanine-DNA methyltransferase) gene (HR = 1.71, 95% CI: 1.42-2.04, p < 0.001). The model was validated internally and had a concordance index of 0.65.
CONCLUSION: A nomogram for overall survival was established. This model can be used for risk stratification and treatment planning, as well as improve enrollment criteria for clinical trials.
Copyright © 2021 Abedi, Grunnet, Christensen, Michaelsen, Muhic, Møller, Hasselbalch, Poulsen and Urup.

Entities:  

Keywords:  MGMT = O6-DNA-methylguanine methyltransferase; biomarkers; glioblastoma; glioma grade IV; nomogram; overall survival; prognostic factors; progression-free survival

Year:  2021        PMID: 33718145      PMCID: PMC7946965          DOI: 10.3389/fonc.2021.597587

Source DB:  PubMed          Journal:  Front Oncol        ISSN: 2234-943X            Impact factor:   6.244


  25 in total

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Authors:  Walter Stummer; Uwe Pichlmeier; Thomas Meinel; Otmar Dieter Wiestler; Friedhelm Zanella; Hans-Jürgen Reulen
Journal:  Lancet Oncol       Date:  2006-05       Impact factor: 41.316

2.  A multivariate analysis of 416 patients with glioblastoma multiforme: prognosis, extent of resection, and survival.

Authors:  M Lacroix; D Abi-Said; D R Fourney; Z L Gokaslan; W Shi; F DeMonte; F F Lang; I E McCutcheon; S J Hassenbusch; E Holland; K Hess; C Michael; D Miller; R Sawaya
Journal:  J Neurosurg       Date:  2001-08       Impact factor: 5.115

3.  Cetuximab, bevacizumab, and irinotecan for patients with primary glioblastoma and progression after radiation therapy and temozolomide: a phase II trial.

Authors:  Benedikte Hasselbalch; Ulrik Lassen; Steinbjørn Hansen; Mats Holmberg; Morten Sørensen; Michael Kosteljanetz; Helle Broholm; Marie-Thérése Stockhausen; Hans Skovgaard Poulsen
Journal:  Neuro Oncol       Date:  2010-02-05       Impact factor: 12.300

4.  A randomized trial of bevacizumab for newly diagnosed glioblastoma.

Authors:  Mark R Gilbert; James J Dignam; Terri S Armstrong; Jeffrey S Wefel; Deborah T Blumenthal; Michael A Vogelbaum; Howard Colman; Arnab Chakravarti; Stephanie Pugh; Minhee Won; Robert Jeraj; Paul D Brown; Kurt A Jaeckle; David Schiff; Volker W Stieber; David G Brachman; Maria Werner-Wasik; Ivo W Tremont-Lukats; Erik P Sulman; Kenneth D Aldape; Walter J Curran; Minesh P Mehta
Journal:  N Engl J Med       Date:  2014-02-20       Impact factor: 91.245

5.  Toxicity and efficacy of lomustine and bevacizumab in recurrent glioblastoma patients.

Authors:  J N Jakobsen; T Urup; K Grunnet; A Toft; M D Johansen; S H Poulsen; I J Christensen; A Muhic; H S Poulsen
Journal:  J Neurooncol       Date:  2018-01-12       Impact factor: 4.130

6.  Clinical variables serve as prognostic factors in a model for survival from glioblastoma multiforme: an observational study of a cohort of consecutive non-selected patients from a single institution.

Authors:  Signe Regner Michaelsen; Ib Jarle Christensen; Kirsten Grunnet; Marie-Thérése Stockhausen; Helle Broholm; Michael Kosteljanetz; Hans Skovgaard Poulsen
Journal:  BMC Cancer       Date:  2013-09-03       Impact factor: 4.430

7.  Proteins inform survival-based differences in patients with glioblastoma.

Authors:  L C Stetson; Quinn T Ostrom; Daniela Schlatzer; Peter Liao; Karen Devine; Kristin Waite; Marta E Couce; Peggy L R Harris; Amber Kerstetter-Fogle; Michael E Berens; Andrew E Sloan; Mohammad M Islam; Vilashini Rajaratnam; Shama P Mirza; Mark R Chance; Jill S Barnholtz-Sloan
Journal:  Neurooncol Adv       Date:  2020-03-17

Review 8.  The 2007 WHO classification of tumours of the central nervous system.

Authors:  David N Louis; Hiroko Ohgaki; Otmar D Wiestler; Webster K Cavenee; Peter C Burger; Anne Jouvet; Bernd W Scheithauer; Paul Kleihues
Journal:  Acta Neuropathol       Date:  2007-07-06       Impact factor: 17.088

9.  Assessment of Quantitative and Allelic MGMT Methylation Patterns as a Prognostic Marker in Glioblastoma.

Authors:  Lasse S Kristensen; Signe R Michaelsen; Henrik Dyrbye; Derya Aslan; Kirsten Grunnet; Ib J Christensen; Hans S Poulsen; Kirsten Grønbæk; Helle Broholm
Journal:  J Neuropathol Exp Neurol       Date:  2016-02-16       Impact factor: 3.685

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