Literature DB >> 29337169

The Prognostic Roles of Gender and O6-Methylguanine-DNA Methyltransferase Methylation Status in Glioblastoma Patients: The Female Power.

Enrico Franceschi1, Alicia Tosoni1, Santino Minichillo1, Roberta Depenni2, Alexandro Paccapelo1, Stefania Bartolini1, Maria Michiara3, Giacomo Pavesi4, Benedetta Urbini5, Girolamo Crisi6, Michele A Cavallo7, Luigino Tosatto8, Claudio Dazzi9, Claudia Biasini10, Giuseppe Pasini11, Damiano Balestrini12, Francesca Zanelli13, Vania Ramponi14, Antonio Fioravanti14, Ermanno Giombelli15, Dario De Biase16, Agostino Baruzzi17, Alba A Brandes18.   

Abstract

BACKGROUND: Clinical and molecular factors are essential to define the prognosis in patients with glioblastoma (GBM). O6-methylguanine-DNA methyltransferase (MGMT) methylation status, age, Karnofsky Performance Status (KPS), and extent of surgical resection are the most relevant prognostic factors. Our investigation of the role of gender in predicting prognosis shows a slight survival advantage for female patients.
METHODS: We performed a prospective evaluation of the Project of Emilia Romagna on Neuro-Oncology (PERNO) registry to identify prognostic factors in patients with GBM who received standard treatment.
RESULTS: A total of 169 patients (99 males [58.6%] and 70 females [41.4%]) were evaluated prospectively. MGMT methylation was evaluable in 140 patients. Among the male patients, 36 were MGMT methylated (25.7%) and 47 were unmethylated (33.6%); among the female patients, 32 were methylated (22.9%) and 25 were unmethylated (17.9%). Survival was longer in the methylated females compared with the methylated males (P = 0.028) but was not significantly different between the unmethylated females and the unmethylated males (P = 0.395). In multivariate analysis, gender and MGMT methylation status considered together (methylated females vs. methylated males; hazard ratio [HR], 0.459; 95% confidence interval [CI], 0.242-0.827; P = 0.017), age (HR, 1.025; 95% CI, 1.002-1.049; P = 0.032), and KPS (HR, 0.965; 95% CI, 0.948-0.982; P < 0.001) were significantly correlated with survival.
CONCLUSIONS: Survival was consistently longer among MGMT methylated females compared with males. Gender can be considered as a further prognostic factor.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Gender; Glioblastoma; MGMT; Methylation; PERNO

Mesh:

Substances:

Year:  2018        PMID: 29337169     DOI: 10.1016/j.wneu.2018.01.045

Source DB:  PubMed          Journal:  World Neurosurg        ISSN: 1878-8750            Impact factor:   2.104


  16 in total

1.  Design and Evaluation of an External Control Arm Using Prior Clinical Trials and Real-World Data.

Authors:  Steffen Ventz; Albert Lai; Timothy F Cloughesy; Patrick Y Wen; Lorenzo Trippa; Brian M Alexander
Journal:  Clin Cancer Res       Date:  2019-06-07       Impact factor: 12.531

2.  Posttreatment Effect of MGMT Methylation Level on Glioblastoma Survival.

Authors:  Rikke H Dahlrot; Pia Larsen; Henning B Boldt; Melissa S Kreutzfeldt; Steinbjørn Hansen; Jacob B Hjelmborg; Bjarne Winther Kristensen
Journal:  J Neuropathol Exp Neurol       Date:  2019-07-01       Impact factor: 3.685

3.  Prognostic value of test(s) for O6-methylguanine-DNA methyltransferase (MGMT) promoter methylation for predicting overall survival in people with glioblastoma treated with temozolomide.

Authors:  Alexandra McAleenan; Claire Kelly; Francesca Spiga; Ashleigh Kernohan; Hung-Yuan Cheng; Sarah Dawson; Lena Schmidt; Tomos Robinson; Sebastian Brandner; Claire L Faulkner; Christopher Wragg; Sarah Jefferies; Amy Howell; Luke Vale; Julian P T Higgins; Kathreena M Kurian
Journal:  Cochrane Database Syst Rev       Date:  2021-03-12

4.  An intronic genetic variation of MGMT affects enhancer activity and is associated with glioma susceptibility.

Authors:  Liming Huang; Wenshen Xu; Lian Dai; Danfang Yan; Shu Zhang; Xi Shi
Journal:  Cancer Manag Res       Date:  2018-09-27       Impact factor: 3.989

5.  Sexually dimorphic impact of the iron-regulating gene, HFE, on survival in glioblastoma.

Authors:  Darya S Nesterova; Vishal Midya; Brad E Zacharia; Elizabeth A Proctor; Sang Y Lee; Lindsay C Stetson; Justin D Lathia; Joshua B Rubin; Kristin A Waite; Michael E Berens; Jill S Barnholtz-Sloan; James R Connor
Journal:  Neurooncol Adv       Date:  2020-02-17

6.  Sex-specific impact of patterns of imageable tumor growth on survival of primary glioblastoma patients.

Authors:  Paula Whitmire; Cassandra R Rickertsen; Andrea Hawkins-Daarud; Eduardo Carrasco; Julia Lorence; Gustavo De Leon; Lee Curtin; Spencer Bayless; Kamala Clark-Swanson; Noah C Peeri; Christina Corpuz; Christine Paula Lewis-de Los Angeles; Bernard R Bendok; Luis Gonzalez-Cuyar; Sujay Vora; Maciej M Mrugala; Leland S Hu; Lei Wang; Alyx Porter; Priya Kumthekar; Sandra K Johnston; Kathleen M Egan; Robert Gatenby; Peter Canoll; Joshua B Rubin; Kristin R Swanson
Journal:  BMC Cancer       Date:  2020-05-19       Impact factor: 4.430

7.  Sex Differences in Time to Treat and Outcomes for Gliomas.

Authors:  Nickolas Stabellini; Halle Krebs; Nirav Patil; Kristin Waite; Jill S Barnholtz-Sloan
Journal:  Front Oncol       Date:  2021-02-19       Impact factor: 6.244

8.  PR-LncRNA signature regulates glioma cell activity through expression of SOX factors.

Authors:  Sergio Torres-Bayona; Paula Aldaz; Jaione Auzmendi-Iriarte; Ander Saenz-Antoñanzas; Idoia Garcia; Mariano Arrazola; Daniela Gerovska; Jose Undabeitia; Arrate Querejeta; Larraitz Egaña; Jorge Villanúa; Irune Ruiz; Cristina Sarasqueta; Enrique Urculo; Marcos J Araúzo-Bravo; Maite Huarte; Nicolas Samprón; Ander Matheu
Journal:  Sci Rep       Date:  2018-08-24       Impact factor: 4.379

Review 9.  Sex differences in cancer mechanisms.

Authors:  Joshua B Rubin; Joseph S Lagas; Lauren Broestl; Jasmin Sponagel; Nathan Rockwell; Gina Rhee; Sarah F Rosen; Si Chen; Robyn S Klein; Princess Imoukhuede; Jingqin Luo
Journal:  Biol Sex Differ       Date:  2020-04-15       Impact factor: 5.027

10.  DNA methylation analysis with methylation-sensitive high-resolution melting (MS-HRM) reveals gene panel for glioma characteristics.

Authors:  Aleksandra Majchrzak-Celińska; Emilia Dybska; Anna-Maria Barciszewska
Journal:  CNS Neurosci Ther       Date:  2020-08-11       Impact factor: 5.243

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