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Research Paper|Volume 11, Issue 16|pp 6252—6272

Prognostic value of preoperative hematological markers combined with molecular pathology in patients with diffuse gliomas

Zhen-Yu Zhang1, Yun-Bo Zhan1, Feng-Jiang Zhang1, Bin Yu1, Yu-Chen Ji1, Jin-Qiao Zhou1, Ya-Hui Bai1, Yan-Min Wang1, Li Wang2, Yan Jing3, Wen-Chao Duan1, Chen Sun1, Tao Sun1, Hai-Biao Zhao1, Ke Li1, Wen-Qing Wang1, Ruo-Yan Li4, Hong-Wei Sun1, Guang Zhai1, Shu-Kai Wang1, Xin-Ting Wei1, Bo Yang1, Dong-Ming Yan1, Xian-Zhi Liu1, Wei-Wei Wang2
  • 1Department of Neurosurgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan 450052, China
  • 2Department of Pathology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan 450052, China
  • 3Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan 450052, China
  • 4Department of SICU, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan 450052, China
* Equal contribution
Received: March 28, 2019Accepted: August 10, 2019Published: August 23, 2019

Copyright © 2019 Zhang et al. This is an open-access article distributed under the terms of the Creative Commons Attribution (CC BY) 3.0 License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

The prediction of clinical outcome for patients with infiltrative gliomas is challenging. Although preoperative hematological markers have been proposed as predictors of survival in glioma and other cancers, systematic investigations that combine these data with other relevant clinical variables are needed to improve prognostic accuracy and patient outcomes. We investigated the prognostic value of preoperative hematological markers, alone and in combination with molecular pathology, for the survival of 592 patients with Grade II-IV diffuse gliomas. On univariate analysis, increased neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and monocyte-to-lymphocyte ratio (MLR), and decreased albumin-to-globulin ratio (AGR), all predicted poor prognosis in Grade II/III gliomas. Multivariate analysis incorporating tumor status based on the presence of IDH mutations, TERT promoter mutations, and 1p/19q codeletion showed that in lower-grade gliomas, high NLR predicted poorer survival for the triple-negative, IDH mutation only, TERT mutation only, and IDH and TERT mutation groups. NLR was an independent prognostic factor in Grade IV glioma. We therefore propose a prognostic model for diffuse gliomas based on the presence of IDH and TERT promoter mutations, 1p/19q codeletion, and NLR. This model classifies lower-grade gliomas into nine subgroups that can be combined into four main risk groups based on survival projections.