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Prognostic values of preoperative albumin to globulin ratio for predicting clinical outcome in patients with high-grade gliomas

BACKGROUND: Gliomas was the most common primary central nervous system tumors which have an increased morbidity in recent years. And the clinical prognosis of high-grade gliomas (HGG, WHO grade III to IV) was most with an average survival rate of only dozens of months. Many researchers concluded tha...

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Autores principales: Liu, Jun, Zhan, Yun-Bo, Zhang, Feng-Jiang, Yu, Bin, Duan, Wen-Chao, Wang, Wei-Wei, Wang, Li, Yang, Bo, Zhang, Zhen-Yu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8798289/
https://www.ncbi.nlm.nih.gov/pubmed/35116922
http://dx.doi.org/10.21037/tcr.2019.08.16
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author Liu, Jun
Zhan, Yun-Bo
Zhang, Feng-Jiang
Yu, Bin
Duan, Wen-Chao
Wang, Wei-Wei
Wang, Li
Yang, Bo
Zhang, Zhen-Yu
author_facet Liu, Jun
Zhan, Yun-Bo
Zhang, Feng-Jiang
Yu, Bin
Duan, Wen-Chao
Wang, Wei-Wei
Wang, Li
Yang, Bo
Zhang, Zhen-Yu
author_sort Liu, Jun
collection PubMed
description BACKGROUND: Gliomas was the most common primary central nervous system tumors which have an increased morbidity in recent years. And the clinical prognosis of high-grade gliomas (HGG, WHO grade III to IV) was most with an average survival rate of only dozens of months. Many researchers concluded that the level of preoperative albumin-to-globulin ratio (AGR) could predict the clinical outcome of patients with solid malignant tumors. METHODS: Two hundred and thirty-two cases of patients who were diagnosed HGG by pathology were enrolled in the study. The relevant data of the cohort included sex, age, preoperative Karnofsky performance score (KPS), extent of resection, albumin count and globulin count, isocitrate dehydrogenase (IDH) and survival time were collected. The survival rate was obtained by using the Kaplan-Meier method. The cut-off value of AGR was determined by X-tile software. Univariate survival analysis was performed by the log-rank method. Proportional hazards model (Cox model) was performed for multivariate analysis. RESULTS: The optimal cut-off value of AGR was 1.32. Results showed that the preoperative AGR was correlated with clinical prognosis of patients with HGG, and the survival time of the patients with high AGR (AGR >1.32) was significantly longer. Moreover, the prognosis of patients with high AGR was better in IDH wild-type HGG. CONCLUSIONS: Preoperative AGR might predict the clinical prognosis of patients with HGG.
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spelling pubmed-87982892022-02-02 Prognostic values of preoperative albumin to globulin ratio for predicting clinical outcome in patients with high-grade gliomas Liu, Jun Zhan, Yun-Bo Zhang, Feng-Jiang Yu, Bin Duan, Wen-Chao Wang, Wei-Wei Wang, Li Yang, Bo Zhang, Zhen-Yu Transl Cancer Res Original Article BACKGROUND: Gliomas was the most common primary central nervous system tumors which have an increased morbidity in recent years. And the clinical prognosis of high-grade gliomas (HGG, WHO grade III to IV) was most with an average survival rate of only dozens of months. Many researchers concluded that the level of preoperative albumin-to-globulin ratio (AGR) could predict the clinical outcome of patients with solid malignant tumors. METHODS: Two hundred and thirty-two cases of patients who were diagnosed HGG by pathology were enrolled in the study. The relevant data of the cohort included sex, age, preoperative Karnofsky performance score (KPS), extent of resection, albumin count and globulin count, isocitrate dehydrogenase (IDH) and survival time were collected. The survival rate was obtained by using the Kaplan-Meier method. The cut-off value of AGR was determined by X-tile software. Univariate survival analysis was performed by the log-rank method. Proportional hazards model (Cox model) was performed for multivariate analysis. RESULTS: The optimal cut-off value of AGR was 1.32. Results showed that the preoperative AGR was correlated with clinical prognosis of patients with HGG, and the survival time of the patients with high AGR (AGR >1.32) was significantly longer. Moreover, the prognosis of patients with high AGR was better in IDH wild-type HGG. CONCLUSIONS: Preoperative AGR might predict the clinical prognosis of patients with HGG. AME Publishing Company 2019-09 /pmc/articles/PMC8798289/ /pubmed/35116922 http://dx.doi.org/10.21037/tcr.2019.08.16 Text en 2019 Translational Cancer Research. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0/.
spellingShingle Original Article
Liu, Jun
Zhan, Yun-Bo
Zhang, Feng-Jiang
Yu, Bin
Duan, Wen-Chao
Wang, Wei-Wei
Wang, Li
Yang, Bo
Zhang, Zhen-Yu
Prognostic values of preoperative albumin to globulin ratio for predicting clinical outcome in patients with high-grade gliomas
title Prognostic values of preoperative albumin to globulin ratio for predicting clinical outcome in patients with high-grade gliomas
title_full Prognostic values of preoperative albumin to globulin ratio for predicting clinical outcome in patients with high-grade gliomas
title_fullStr Prognostic values of preoperative albumin to globulin ratio for predicting clinical outcome in patients with high-grade gliomas
title_full_unstemmed Prognostic values of preoperative albumin to globulin ratio for predicting clinical outcome in patients with high-grade gliomas
title_short Prognostic values of preoperative albumin to globulin ratio for predicting clinical outcome in patients with high-grade gliomas
title_sort prognostic values of preoperative albumin to globulin ratio for predicting clinical outcome in patients with high-grade gliomas
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8798289/
https://www.ncbi.nlm.nih.gov/pubmed/35116922
http://dx.doi.org/10.21037/tcr.2019.08.16
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