Literature DB >> 30880199

Clinical and Pathologic Features and Prognostic Factors for Recurrent Gliomas.

Jiaoming Li1, Xiaodong Niu1, Youjun Gan1, Yuan Yang1, Tianwei Wang1, Haodongfang Zhang1, Yanhui Liu1, Qing Mao2.   

Abstract

OBJECTIVE: To explore related factors that influence time to recurrence and prognosis of gliomas.
METHODS: A retrospective analysis of pathologic and clinical data of patients with glioma who underwent surgery for the first time and had a recurrence between 2009 and 2018 in West China Hospital was performed. Clinical characteristics of patients were reviewed, and survival analysis was performed to identify prognostic factors for the recurrent time. Molecules with differential changes in the paired samples were included in the survival analysis.
RESULTS: A total of 84 patients met our inclusion requirements and were included in the study; other related factors were also considered in detail in the integrated analysis. Significant differences among O6-methylguanine-DNA methyltransferase (positive/negative), isocitrate dehydrogenase 1 (positive/negative), and Ki-67 were determined by statistical analysis of paired samples (P = 0.013, P = 0.014, P = 0.017). Univariate analysis demonstrated that Ki-67 (low expression, medium expression, high expression), initial World Health Organization grade (low or high), tumor side (left, right, middle), age (≥50 years, <50 years), and extent of resection were significantly correlated with time to recurrence (log-rank P = 0.008, P < 0.001, P = 0.015, P < 0.001, P = 0.001). Multivariate analysis results showed that Ki-67 lower expression (hazard ratio [HR] = 0.585, 95% confidence interval [CI] = 0.146-2.336, P = 0.448), medium expression (HR = 0.256, 95% CI = 0.084-0.784, P = 0.017), and high expression (HR = 1 as a reference) together with the initial World Health Organization grade (HR = 0.148, 95% CI = 0.029-0.749, P = 0.021) were independent predictive factors for glioma recurrence.
CONCLUSIONS: This comprehensive analysis revealed that initial World Health Organization grade and Ki-67 proliferative index were independent prognostic factors that predict the time to recurrence of glioma in patients after first surgery.
Copyright © 2019 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Glioma; Ki-67; Prognostic factors; Recurrent time

Mesh:

Substances:

Year:  2019        PMID: 30880199     DOI: 10.1016/j.wneu.2019.02.210

Source DB:  PubMed          Journal:  World Neurosurg        ISSN: 1878-8750            Impact factor:   2.210


  6 in total

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5.  A Radiomics Model for Predicting Early Recurrence in Grade II Gliomas Based on Preoperative Multiparametric Magnetic Resonance Imaging.

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6.  A Novel Nomogram for Predicting the Risk of Short-Term Recurrence After Surgery in Glioma Patients.

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Journal:  Front Oncol       Date:  2021-10-26       Impact factor: 6.244

  6 in total

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