Literature DB >> 32890893

Pre-operative hematological markers as predictive factors for overall survival and progression free survival in glioblastomas.

Alessandra Marini1, Mauro Dobran2, Denis Aiudi2, Alessandro Pesaresi3, Lucia Giovanna Maria di Somma2, Maurizio Iacoangeli2.   

Abstract

INTRODUCTION: Several hematological factors, such as neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), prognostic nutrition index (PNI) and albumin-to-globulin ratio (AGR), have been highlighted as systemic worse prognostic parameters for the outcome in gliomas. The aim of this study is to identify some pre-operative routinely blood tests as predictive parameters for the Overall Survival (OS) and Progression Free Survival (PFS) in glioblastoma (GBM).
MATERIALS AND METHODS: From January 2013 to April 2019, 124 patients operated for glioblastoma were analyzed. Data were collected regarding age, sex, Karnofsky performance status (KPS), IDH status, the extent of resection (EOR) and adjuvant therapy. The hematological parameters were collected at admission: neutrophils, lymphocytes and platelets, hemoglobin, lactate dehydrogenase, albumin, NLR, PLR, AGR and PNI. The OS and the PFS were considered as the end-point for the evaluation of the predictive factors.
RESULTS: A pre-operative neutrophil count > 7 × 109/L was a worse prognostic factor for OS and PFS at univariate analysis (p = 0.004 and p = 0.025), as well as hypo-albuminemia. Thrombocytosis, lymphopenia and NLR > 4 were associated to a worse OS, at uni- and multivariate analysis, resulting as poor predictive parameters, independently to EOR, the IDH mutation and the adjuvant therapy.
CONCLUSIONS: Still nowadays there are no sensitive or specific hematological markers which are routinely applied for detecting and monitoring the treatment-response and the prognosis of glioblastoma. In our study, a pre-operative low cost and widely used blood markers, such as NLR, lymphocytes and platelets could be predictable prognostic factors for the Overall Survival of patients affected by glioblastomas.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Albumin-to-globulin ratio; Blood test; Glioblastoma; Neutrophil-to-lymphocyte ratio; Platelet-to-lymphocyte ratio

Mesh:

Substances:

Year:  2020        PMID: 32890893     DOI: 10.1016/j.clineuro.2020.106162

Source DB:  PubMed          Journal:  Clin Neurol Neurosurg        ISSN: 0303-8467            Impact factor:   1.876


  5 in total

1.  Pre-Treatment and Preoperative Neutrophil-to-Lymphocyte Ratio Predicts Prognostic Value of Glioblastoma: A Meta-Analysis.

Authors:  Xin Guo; Hengxing Jiao; Tiantian Zhang; Yuelin Zhang
Journal:  Brain Sci       Date:  2022-05-21

2.  Development and Validation of a Nomogram Model Based on Hematological Indicators for Predicting the Prognosis of Diffused Gliomas.

Authors:  Song Han; Fang-Wen Qu; Peng-Fei Wang; Ying-Xin Liu; Shou-Wei Li; Chang-Xiang Yan
Journal:  Front Surg       Date:  2022-04-13

3.  Research Supporting a Pilot Study of Metronomic Dapsone during Glioblastoma Chemoirradiation.

Authors:  Richard E Kast
Journal:  Med Sci (Basel)       Date:  2021-02-16

4.  Association between postoperative hypoalbuminemia and postoperative pulmonary imaging abnormalities patients undergoing craniotomy for brain tumors: a retrospective cohort study.

Authors:  Da-Wei Zhao; Feng-Chun Zhao; Xu-Yang Zhang; Kai-Yan Wei; Yi-Bin Jiang; Dan Liu; Shui-Xian Zhang; Hua Feng; Rong Hu
Journal:  Sci Rep       Date:  2022-01-07       Impact factor: 4.379

5.  Old and New Systemic Immune-Inflammation Indexes Are Associated with Overall Survival of Glioblastoma Patients Treated with Radio-Chemotherapy.

Authors:  Francesco Pasqualetti; Celeste Giampietro; Nicola Montemurro; Noemi Giannini; Giovanni Gadducci; Paola Orlandi; Eleonora Natali; Paolo Chiarugi; Alessandra Gonnelli; Martina Cantarella; Cristian Scatena; Giuseppe Nicolò Fanelli; Antonio Giuseppe Naccarato; Paolo Perrini; Gaetano Liberti; Riccardo Morganti; Maria Franzini; Aldo Paolicchi; Giovanni Pellegrini; Guido Bocci; Fabiola Paiar
Journal:  Genes (Basel)       Date:  2022-06-13       Impact factor: 4.141

  5 in total

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