Cargando…

Predicting factors of tumor progression in adult patients with low-grade glioma within five years after surgery

BACKGROUND: Glioma is the most common primary intracranial tumor with the worst prognosis whose 5-year mortality rate is second only to pancreatic cancer and lung cancer among systemic tumors. WHO divides gliomas into grades I to IV, with grades I and II as low grades. Low-grade gliomas tend to occu...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Xuezheng, Li, Ruimin, Ren, Hongbo, Liu, He, Liu, Hongfeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8797588/
https://www.ncbi.nlm.nih.gov/pubmed/35116512
http://dx.doi.org/10.21037/tcr-21-589
_version_ 1784641587965329408
author Li, Xuezheng
Li, Ruimin
Ren, Hongbo
Liu, He
Liu, Hongfeng
author_facet Li, Xuezheng
Li, Ruimin
Ren, Hongbo
Liu, He
Liu, Hongfeng
author_sort Li, Xuezheng
collection PubMed
description BACKGROUND: Glioma is the most common primary intracranial tumor with the worst prognosis whose 5-year mortality rate is second only to pancreatic cancer and lung cancer among systemic tumors. WHO divides gliomas into grades I to IV, with grades I and II as low grades. Low-grade gliomas tend to occur in people between the ages of 30 and 40, who usually have the characteristics of well-differentiated, slow growth, and low invasiveness. Timely diagnosis and surgery are the main treatment strategies for low-grade gliomas. The current ideal treatment represents the MST reaching average seven years. However, many patients relapse with adverse outcomes. It’s important to identify high-risk patients by predicting factors in adult patients with low-grade glioma. METHODS: A total of 287 patients who were treated in our hospital from February 2011 to May 2015 were included in the final analysis according to the inclusion and exclusion criteria. The patients were divided into progression-free groups and progression groups according to the results of 5-year follow-up after surgery by information like patients’ baseline data, surgical data, postoperative follow-up data. The ROC was used to analyze the greatest quantitative treatment boundary value and distinguish high and low risk. Kaplan-Meier survival curve was used to analyze risk factors’ predictive value for patients’ postoperative results. RESULTS: The results of 5-year follow-up showed 122 cases (42.5%) had no progression (progression-free group), 165 cases (57.5%) had progression (progression group). Univariate and multivariate analysis showed that age older than 50 (OR =1.42, P=0.013), partial resection of tumor (OR =1.86, P=0.027), tumor diameter larger than 5 cm (OR =1.85, P=0.022) and long-term statins treatment before surgery (OR =0.36, P=0.036) were closely associated with tumor progression. The Kaplan-Meier survival curve showed patients aged older than 50, partial resection of the tumor, a tumor diameter larger than 5 cm whose results were poor, while long-term statins treatment before surgery had a better prognosis within the 5-year follow-up. CONCLUSIONS: Patients aged older than 50, partial resection of the tumor, tumor diameter larger than 5 cm and long-term statins treatment before surgery were closely related to the prognosis after surgery.
format Online
Article
Text
id pubmed-8797588
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher AME Publishing Company
record_format MEDLINE/PubMed
spelling pubmed-87975882022-02-02 Predicting factors of tumor progression in adult patients with low-grade glioma within five years after surgery Li, Xuezheng Li, Ruimin Ren, Hongbo Liu, He Liu, Hongfeng Transl Cancer Res Original Article BACKGROUND: Glioma is the most common primary intracranial tumor with the worst prognosis whose 5-year mortality rate is second only to pancreatic cancer and lung cancer among systemic tumors. WHO divides gliomas into grades I to IV, with grades I and II as low grades. Low-grade gliomas tend to occur in people between the ages of 30 and 40, who usually have the characteristics of well-differentiated, slow growth, and low invasiveness. Timely diagnosis and surgery are the main treatment strategies for low-grade gliomas. The current ideal treatment represents the MST reaching average seven years. However, many patients relapse with adverse outcomes. It’s important to identify high-risk patients by predicting factors in adult patients with low-grade glioma. METHODS: A total of 287 patients who were treated in our hospital from February 2011 to May 2015 were included in the final analysis according to the inclusion and exclusion criteria. The patients were divided into progression-free groups and progression groups according to the results of 5-year follow-up after surgery by information like patients’ baseline data, surgical data, postoperative follow-up data. The ROC was used to analyze the greatest quantitative treatment boundary value and distinguish high and low risk. Kaplan-Meier survival curve was used to analyze risk factors’ predictive value for patients’ postoperative results. RESULTS: The results of 5-year follow-up showed 122 cases (42.5%) had no progression (progression-free group), 165 cases (57.5%) had progression (progression group). Univariate and multivariate analysis showed that age older than 50 (OR =1.42, P=0.013), partial resection of tumor (OR =1.86, P=0.027), tumor diameter larger than 5 cm (OR =1.85, P=0.022) and long-term statins treatment before surgery (OR =0.36, P=0.036) were closely associated with tumor progression. The Kaplan-Meier survival curve showed patients aged older than 50, partial resection of the tumor, a tumor diameter larger than 5 cm whose results were poor, while long-term statins treatment before surgery had a better prognosis within the 5-year follow-up. CONCLUSIONS: Patients aged older than 50, partial resection of the tumor, tumor diameter larger than 5 cm and long-term statins treatment before surgery were closely related to the prognosis after surgery. AME Publishing Company 2021-04 /pmc/articles/PMC8797588/ /pubmed/35116512 http://dx.doi.org/10.21037/tcr-21-589 Text en 2021 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
Li, Xuezheng
Li, Ruimin
Ren, Hongbo
Liu, He
Liu, Hongfeng
Predicting factors of tumor progression in adult patients with low-grade glioma within five years after surgery
title Predicting factors of tumor progression in adult patients with low-grade glioma within five years after surgery
title_full Predicting factors of tumor progression in adult patients with low-grade glioma within five years after surgery
title_fullStr Predicting factors of tumor progression in adult patients with low-grade glioma within five years after surgery
title_full_unstemmed Predicting factors of tumor progression in adult patients with low-grade glioma within five years after surgery
title_short Predicting factors of tumor progression in adult patients with low-grade glioma within five years after surgery
title_sort predicting factors of tumor progression in adult patients with low-grade glioma within five years after surgery
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8797588/
https://www.ncbi.nlm.nih.gov/pubmed/35116512
http://dx.doi.org/10.21037/tcr-21-589
work_keys_str_mv AT lixuezheng predictingfactorsoftumorprogressioninadultpatientswithlowgradegliomawithinfiveyearsaftersurgery
AT liruimin predictingfactorsoftumorprogressioninadultpatientswithlowgradegliomawithinfiveyearsaftersurgery
AT renhongbo predictingfactorsoftumorprogressioninadultpatientswithlowgradegliomawithinfiveyearsaftersurgery
AT liuhe predictingfactorsoftumorprogressioninadultpatientswithlowgradegliomawithinfiveyearsaftersurgery
AT liuhongfeng predictingfactorsoftumorprogressioninadultpatientswithlowgradegliomawithinfiveyearsaftersurgery