Serum Inflammatory Biomarkers Contribute to the Prognosis Prediction in High-Grade Glioma

Xiao-Yong Chen; Ding-Long Pan; Jia-Heng Xu; Yue Chen; Wei-Feng Xu; Jin-Yuan Chen; Zan-Yi Wu; Yuan-Xiang Lin; Yuan-Xiang Lin; Hong-Hai You; Chen-Yu Ding; Chen-Yu Ding; De-Zhi Kang; De-Zhi Kang; De-Zhi Kang

doi:10.3389/fonc.2021.754920

Frontiers in Oncology (Jan 2022)

Serum Inflammatory Biomarkers Contribute to the Prognosis Prediction in High-Grade Glioma

Xiao-Yong Chen,
Ding-Long Pan,
Jia-Heng Xu,
Yue Chen,
Wei-Feng Xu,
Jin-Yuan Chen,
Zan-Yi Wu,
Yuan-Xiang Lin,
Yuan-Xiang Lin,
Hong-Hai You,
Chen-Yu Ding,
Chen-Yu Ding,
De-Zhi Kang,
De-Zhi Kang,
De-Zhi Kang

Affiliations

Xiao-Yong Chen: Department of Neurosurgery, Neurosurgical Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
Ding-Long Pan: Department of Radiation Oncology, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China
Jia-Heng Xu: Department of Neurosurgery, Neurosurgical Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
Yue Chen: Department of Neurosurgery, Neurosurgical Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
Wei-Feng Xu: Department of Medical Oncology, Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, China
Jin-Yuan Chen: Department of Ophthalmology, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
Zan-Yi Wu: Department of Neurosurgery, Neurosurgical Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
Yuan-Xiang Lin: Department of Neurosurgery, Neurosurgical Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
Yuan-Xiang Lin: Fujian Key Laboratory of Precision Medicine for Cancer, the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
Hong-Hai You: Department of Neurosurgery, Neurosurgical Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
Chen-Yu Ding: Department of Neurosurgery, Neurosurgical Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
Chen-Yu Ding: Fujian Key Laboratory of Precision Medicine for Cancer, the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
De-Zhi Kang: Department of Neurosurgery, Neurosurgical Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
De-Zhi Kang: Fujian Key Laboratory of Precision Medicine for Cancer, the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
De-Zhi Kang: Key Laboratory of Radiation Biology of Fujian higher education institutions, the First Affiliated Hospital, Fujian Medical University, Fuzhou, China

DOI: https://doi.org/10.3389/fonc.2021.754920
Journal volume & issue: Vol. 11

Abstract

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BackgroundTo evaluate the prognostic value of serum inflammatory biomarkers and develop a risk stratification model for high-grade glioma (HGG) patients based on clinical, laboratory, radiological, and pathological factors.Materials and MethodsA retrospective study of 199 patients with HGG was conducted. Patients were divided into a training cohort (n = 120) and a validation cohort (n = 79). The effects of potential associated factors on the overall survival (OS) time were investigated and the benefits of serum inflammatory biomarkers in improving predictive performance was assessed. Univariable and multivariable Cox regression analyses, the least absolute shrinkage and selection operator (LASSO) regression analysis, and support vector machines (SVM) were used to select variables for the final nomogram model.ResultsAfter multivariable Cox, LASSO, and SVM analysis, in addition to 3 other clinico-pathologic factors, platelet-to-lymphocyte ratio (PLR) >144.4 (hazard ratio [HR], 2.05; 95% confidence interval [CI], 1.25–3.38; P = 0.005) were left for constructing the predictive model. The model with PLR exhibited a better predictive performance than that without them in both cohorts. The nomogram based on the model showed an excellent ability of discrimination in the entire cohort (C-index, 0.747; 95%CI, 0.706–0.788). The calibration curves showed good consistency between the predicted and observed survival probability.ConclusionOur study confirmed the prognostic value of serum inflammatory biomarkers including PLR and established a comprehensive scoring system for the OS prediction in HGG patients.

Published in Frontiers in Oncology

ISSN: 2234-943X (Online)
Publisher: Frontiers Media S.A.
Country of publisher: Switzerland
LCC subjects: Medicine: Internal medicine: Neoplasms. Tumors. Oncology. Including cancer and carcinogens
Website: https://www.frontiersin.org/journals/oncology/

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