Zhang Zibin, Pang Xiaojun, Wei Yuyu, Lv Qingping, Jin Xuhong, Chen Huai
Department of Neurosurgery, Affiliated Hangzhou Chest Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Front Oncol. 2022 Aug 22;12:939816. doi: 10.3389/fonc.2022.939816. eCollection 2022.
This study was launched to ascertain the independent prognostic factors influencing the overall survival (OS) prognosis of intracranial subependymoma and construct a prognostic model to predict OS time.
We collected data from patients with intracranial subependymoma, including treatment data, follow-up data, and clinical and pathological characteristics from the SEER database within 2004 to 2016, and patients were randomly classified into training and validation cohorts. Univariate and multivariate analyses were applied to the training group through building a Cox proportional hazards model. According to the results of multivariate analysis, we established a nomogram to forecast the OS rate of the per-case patient graphically, then calculated the accuracy of verification in both training and validation cohorts by concordance index (C-index). Univariate and multivariate analyses were used for different subgroups of unoperated versus operated, gross total resection (GTR), subtotal resection (STR), and biopsy after using the propensity score matching (PSM) analyses.
A total of 667 patients were enrolled, and we randomly assigned 535 patients (80.21%) into the training cohort and 132 patients (19.79%) into the validation cohort. Age [hazard ratio (HR) = 6.355; 95% confidence interval (CI), 2.240-18.029; = 0.001] and sex (HR = 0.475; 95% CI, 0.232-0.974; = 0.042) were the independent prognostic factors in the training cohort. On the basis of age and sex, the nomogram was established to predict the OS for every patient (C-index = 0.733 ± 0.065 in the training cohort and 0.850 ± 0.065 in the validation cohort), and calibration plots reflected the reliability of the nomogram. Age, gender, or laterality was the independent prognostic factor for OS in the different matched subgroups of unoperated versus operated, GTR, STR, and biopsy. Surgical treatment, race, year of diagnosis, insurance, tumor location, tumor size, pathology, tumor grade, and radiation were not statistically significantly different in OS for subependymoma in our research.
Age and sex were the independent prognostic variables for OS in intracranial subependymoma. According to our research, we should not be more inclined to choose conservative or surgical treatment. Nonetheless, the information that we present might be useful to suggest potential hypotheses to be tested in the clinical research setting.
开展本研究以确定影响颅内室管膜下瘤总生存期(OS)预后的独立预后因素,并构建一个预测OS时间的预后模型。
我们收集了颅内室管膜下瘤患者的数据,包括2004年至2016年期间来自监测、流行病学与最终结果(SEER)数据库的治疗数据、随访数据以及临床和病理特征,患者被随机分为训练队列和验证队列。通过构建Cox比例风险模型对训练组进行单因素和多因素分析。根据多因素分析结果,我们建立了一个列线图以直观地预测每位患者的OS率,然后通过一致性指数(C-index)计算训练队列和验证队列中的验证准确性。在使用倾向评分匹配(PSM)分析后,对未手术与手术、全切除(GTR)、次全切除(STR)和活检的不同亚组进行单因素和多因素分析。
共纳入667例患者,我们将535例患者(80.21%)随机分配至训练队列,132例患者(19.79%)随机分配至验证队列。年龄[风险比(HR)= 6.355;95%置信区间(CI),2.240 - 18.029;P = 0.001]和性别(HR = 0.475;95% CI,0.232 - 0.974;P = 0.042)是训练队列中的独立预后因素。基于年龄和性别,建立了列线图以预测每位患者的OS(训练队列中C-index = 0.733 ± 0.065,验证队列中C-index = 0.850 ± 0.065),校准图反映了列线图的可靠性。年龄、性别或肿瘤侧别是未手术与手术、GTR、STR和活检的不同匹配亚组中OS的独立预后因素。在我们的研究中,手术治疗、种族、诊断年份、保险、肿瘤位置、肿瘤大小、病理、肿瘤分级和放疗在室管膜下瘤的OS方面无统计学显著差异。
年龄和性别是颅内室管膜下瘤OS的独立预后变量。根据我们的研究,我们不应更倾向于选择保守治疗或手术治疗。尽管如此,我们提供的信息可能有助于提出在临床研究环境中有待检验的潜在假设。