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Prognostic factors of patients with Gliomas - an analysis on 335 patients with Glioblastoma and other forms of Gliomas.
BMC Cancer ( IF 3.8 ) Pub Date : 2020-01-15 , DOI: 10.1186/s12885-019-6511-6
Jianfeng Liang 1 , Xiaomin Lv 2 , Changyu Lu 1 , Xun Ye 1, 3 , Xiaolin Chen 1, 3 , Jia Fu 1 , Chenghua Luo 4 , Yuanli Zhao 1, 3
Affiliation  

BACKGROUND The prognosis of glioma is poor, despite recent advances in diagnosis and treatment of the disease. It is important to investigate the clinical characteristics and prognostic factors of glioma so as to provide basis for treatment and management of patients. METHOD A total of 335 patients with glioma were included in this study. These patients were admitted to the medical center between November 2015 and December 2018. The clinical data, including demographic data, tumor characteristics, treatment strategy, expression pattern of tumor markers, and survival data, were retrospectively reviewed. Survival data were analyzed using Kaplan-Meier curves with log-rank test, while multivariate analysis Cox regression model was used to investigate risk factors for mortality. RESULTS In this patient cohort, glioblastoma (40%), diffuse glioma (14.6%) and oligodendroglioma (9.6%) were the most common pathological types. The expression of Ki-67 was associated with several clinicopathological parameters (e.g. tumor type, grade, and number of lesions). In addition, Ki-67 correlated with the mortality within the first year of the post-treatment follow-up (P <  0.001). Kaplan-Maier analysis revealed that older patients (≥ 45 years) displayed worse prognosis than those aged under 45 years (P = 0.038). Dismal prognosis was also associated with clinical parameters, including high tumor grade, multiple lesions, and Karnofsky performance score (KPS). Multivariate analysis showed that low KPS (< 85) increased the risk of mortality by 2.3 folds with a 95% CI of 1.141 to 4.776 (P = 0.020). Low tumor grade (grade 1-2) oppositely reduced the mortality risk by 0.22 folds (95% CI, 0.065 to 0.763, P = 0.0168). CONCLUSION KPS and tumor grade were independent prognostic factors in patients with gliomas.

中文翻译:

胶质瘤患者的预后因素-335例胶质母细胞瘤和其他形式的胶质瘤患者的分析。

背景技术尽管最近在该疾病的诊断和治疗方面取得了进展,但神经胶质瘤的预后很差。研究神经胶质瘤的临床特征和预后因素,为患者的治疗和管理提供依据。方法本研究共纳入335例神经胶质瘤患者。这些患者于2015年11月至2018年12月期间进入医疗中心。回顾性分析了临床数据,包括人口统计学数据,肿瘤特征,治疗策略,肿瘤标志物的表达模式和生存数据。使用Kaplan-Meier曲线和对数秩检验分析生存数据,同时使用多因素分析Cox回归模型调查死亡率的危险因素。结果在该患者队列中,胶质母细胞瘤(40%),弥漫性胶质瘤(14。6%)和少突胶质细胞瘤(9.6%)是最常见的病理类型。Ki-67的表达与多种临床病理参数(例如肿瘤类型,等级和病变数目)相关。此外,Ki-67与治疗后随访的第一年内的死亡率相关(P <0.001)。Kaplan-Maier分析显示,老年患者(≥45岁)的预后比45岁以下患者差(P = 0.038)。不良预后还与临床参数有关,包括高肿瘤分级,多处病变和卡诺夫斯基功能评分(KPS)。多变量分析显示,低KPS(<85)将死亡风险增加2.3倍,95%CI为1.141至4.776(P = 0.020)。较低的肿瘤等级(1-2级)使死亡率降低了0.22倍(95%CI,0.065至0.763,P = 0.0168)。结论KPS和肿瘤分级是神经胶质瘤患者的独立预后因素。
更新日期:2020-01-15
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