Preprint Article Version 1 This version is not peer-reviewed

Long Term Survival in Patients Suffering from Glioblastoma Multiforme: A Single-Centre Observational Cohort Study

Version 1 : Received: 14 October 2019 / Approved: 16 October 2019 / Online: 16 October 2019 (08:30:25 CEST)

How to cite: Armocida, D.; Pesce, A.; Di Giammarco, F.; Frati, A.; Santoro, A.; Salvati, M. Long Term Survival in Patients Suffering from Glioblastoma Multiforme: A Single-Centre Observational Cohort Study. Preprints 2019, 2019100180 (doi: 10.20944/preprints201910.0180.v1). Armocida, D.; Pesce, A.; Di Giammarco, F.; Frati, A.; Santoro, A.; Salvati, M. Long Term Survival in Patients Suffering from Glioblastoma Multiforme: A Single-Centre Observational Cohort Study. Preprints 2019, 2019100180 (doi: 10.20944/preprints201910.0180.v1).

Abstract

Background: Glioblastomas (GBM) is generally burdened, to date, by a dismal prognosis, although Long Term Survivors have a relatively significant incidence. Our specific aim was to determine the exact impact of many surgery-, patient- and tumor-related variable on Survival parameters. Methods: The surgical, radiological and clinical outcomes of patients have been retrospectively reviewed for the present study. All the patients have been operated on in our Institution and classified according their Overall Survival in LTS (Long Term Survivors) and STS (Short Term Survivors). A thorough Review of our surgical series was conducted to compare the oncologic results of the patients in regards to 1. Surgical , 2. Molecular, and 3.Treatment related features. Results: A total of 177 patients were included in the final cohort. Extensive statistical analysis by means of univariate, multivariate and survival analyses disclosed a survival advantage for patients presenting a younger age, a smaller lesion and a better functional status at presentation. From the Histochemical point of view, Ki67(%) was the strongest predictor of better oncologic outcomes. A stepwise analysis of variance outlines the existence of 8 prognostic subgroups according to the molecular patterns of Ki67 overexpression and EGFR, p53 and IDH mutations. Conclusions: On the ground of our statistical analyses we can affirm that the following factors were significant predictors of survival advantage: KPS, Age, Volume of the lesion, Motor disorder at presentation, a Ki67 overexpression. A fine molecular profiling is feasible to precisely stratify the prognosis of GBM patients.

Subject Areas

long term survival; Glioblastoma; IDH; EGFR; Ki67; p53

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