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中华神经创伤外科电子杂志 ›› 2023, Vol. 09 ›› Issue (05) : 283 -288. doi: 10.3877/cma.j.issn.2095-9141.2023.05.005

临床研究

颅内单纯生殖细胞瘤患者的生存预测:基于SEER数据库的临床研究
李海马, 孙恺, 刘如恩()   
  1. 330006 南昌,南昌大学江西医学院·江西省人民医院(南昌医学院第一附属医院)神经外科
    610072 成都,电子科技大学附属医院·四川省人民医院神经外科
  • 收稿日期:2022-12-25 出版日期:2023-10-15
  • 通信作者: 刘如恩

Survival prediction of patients with intracranial simple germ cell tumors: a clinical study based on SEER database

Haima Li, Kai Sun, Ruen Liu()   

  1. Department of Neurosurgery, Jiangxi Medical College, Nanchang University/Department of Neurosurgery, Jiangxi Provincial People's Hospital (the First Affiliated Hospital of Nanchang Medical College), Nanchang 330006, China
    Department of Neurosurgery, Affiliated Hospital of University of Electronic Science and Technology/Sichuan Provincial People's Hospital, Chengdu 610072, China
  • Received:2022-12-25 Published:2023-10-15
  • Corresponding author: Ruen Liu
引用本文:

李海马, 孙恺, 刘如恩. 颅内单纯生殖细胞瘤患者的生存预测:基于SEER数据库的临床研究[J]. 中华神经创伤外科电子杂志, 2023, 09(05): 283-288.

Haima Li, Kai Sun, Ruen Liu. Survival prediction of patients with intracranial simple germ cell tumors: a clinical study based on SEER database[J]. Chinese Journal of Neurotraumatic Surgery(Electronic Edition), 2023, 09(05): 283-288.

目的

基于SEER数据库构建颅内单纯生殖细胞瘤生存预测的风险分层框架和诺模图。

方法

利用监测、流行病学和最终结果(SEER)数据库收集自2000年1月至2019年12月确诊为颅内单纯生殖细胞瘤患者的人口统计学、生存结果和治疗方法等信息。通过Kaplan-Meier曲线和Cox比例风险模型评估生存模式,并设计诺模图来评价颅内单纯生殖细胞瘤患者的预后,通过一致性指数(C指数)评价预测模型的准确性。

结果

将年龄、性别、种族、放射治疗、化学治疗和手术因素构建颅内单纯生殖细胞瘤患者3年及5年生存期(OS)的预测模型,诺模图C指数为0.64。根据诺模图计算的风险得分分为低风险评分(≥140.67分)和高风险评分(<140.67分),Kaplan-Meier生存曲线分析显示,年龄<20岁、接受化学治疗、低风险评分患者表现出较长的OS,差异有统计学意义(P<0.05),而性别、种族、放射治疗、手术治疗对患者OS的影响差异无统计学意义(P>0.05)。

结论

构建原发性颅内生殖细胞瘤患者生存预测的诺模图与风险分层机制,有利于临床医生对颅内单纯生殖细胞瘤患者的OS进行预测。

Objective

To construct a risk stratification framework and nomogram for predicting the survival of intracranial germ cell tumors based on the SEER database.

Methods

The surveillance, epidemiology, and end results (SEER) database was used to collect demographic, survival, and treatment information for patients diagnosed with intracranial germinoma simplex from January 2000 to December 2019. Kaplan-Meier curve and Cox proportional risk model were used to evaluate the survival mode, and a nomogram was designed to evaluate the prognosis of patients with simple intracranial germ-cell tumor. The concordance index (C-index) was used to evaluate the accuracy of the prediction model.

Results

A predictive model for 3-year and 5-year overall survival (OS) of patients with intracranial simple germ cell tumors was constructed based on factors such as age, gender, race, radiation therapy, chemotherapy, and surgery. The nomogram C-index was 0.64. The risk score calculated based on the nomogram were divided into low-risk scores (≥140.67 points) and high-risk scores (<140.67 points). Kaplan Meier survival curve analysis showed that patients younger than 20 years old, receiving chemotherapy and low-risk score showed a longer survival period, and the difference was statistically significant (P<0.05). However, there was no statistically significant difference in the impact of gender, race, radiation therapy, and surgical treatment on the overall survival rate of patients (P>0.05).

Conclusion

The construction of nomogram and risk stratification mechanism for survival prediction of patients with primary intracranial germinoma is helpful for clinicians to predict the OS in patients with simple intracranial germinoma.

表1 338例患者的人口学特征和临床病理特征
Tab.1 Demographic and clinicopathological characteristics of 338 patients
图1 颅内单纯生殖细胞瘤患者的多变量Cox回归分析森林图
Fig.1 Multivariate Cox regression analysis of patients with simple intracranial germinoma forest
图2 颅内单纯生殖细胞瘤患者3年及5年生存率的诺模图模型
Fig.2 Normogram models of 3-year and 5-year overall survival in patients with simple intracranial germinoma
图3 年龄、性别、化射治疗、放射治疗、手术及风险评分的Kaplan-Meier生存曲线A:年龄;B:性别;C:化学治疗;D:放射治疗;E:手术;F:风险评分
Fig.3 Kaplan-Meier survival curves for age, sex, chemotherapy, radiotherapy, surgery, and risk scores
[1]
Gittleman H, Cioffi G, Vecchione-Koval T, et al. Descriptive epidemiology of germ cell tumors of the central nervous system diagnosed in the united states from 2006 to 2015[J]. J Neurooncol, 2019, 143(2): 251-260. DOI: 10.1007/s11060-019-03173-4.
[2]
Echevarría ME, Fangusaro J, Goldman S. Pediatric central nervous system germ cell tumors: a review[J]. Oncologist, 2008, 13(6): 690-699. DOI: 10.1634/theoncologist.2008-0037.
[3]
Kong Z, Wang Y, Dai C, et al. Central nervous system germ cell tumors: a review of the literature[J]. J Child Neurol, 2018, 33(9): 610-620. DOI: 10.1177/0883073818772470.
[4]
Keene D, Johnston D, Strother D, et al. Epidemiological survey of central nervous system germ cell tumors in canadian children[J]. J Neurooncol, 2007, 82(3): 289-295. DOI: 10.1007/s11060-006-9282-2.
[5]
Jennings MT, Gelman R, Hochberg F. Intracranial germ-cell tumors: Natural history and pathogenesis[J]. J Neurosurg, 1985, 63(2): 155-167. DOI: 10.3171/jns.1985.63.2.0155.
[6]
Lee SH, Jung KW, Ha J, et al. Nationwide population-based incidence and survival rates of malignant central nervous system germ cell tumors in Korea, 2005-2012[J]. Cancer Res Treat, 2017, 49(2): 494-501. DOI: 10.4143/crt.2016.129.
[7]
Skakkebaek NE, Berthelsen JG, Giwercman A, et al. Carcinoma-in-situ of the testis: possible origin from gonocytes and precursor of all types of germ cell tumours except spermatocytoma[J]. Int J Androl, 1987, 10(1): 19-28. DOI: 10.1111/j.1365-2605.1987.tb00161.x.
[8]
Alves AS, Scampa M, Martineau J, et al. Decreased incidence of merkel cell carcinoma in the younger population (below 50) in the United States: SEER analysis 2000-2019[J]. J Am Acad Dermatol, 2023. DOI: 10.1016/j.jaad.2023.04.008.
[9]
Price B. Projection of future numbers of mesothelioma cases in the US and the increasing prevalence of background cases: an update based on SEER data for 1975 through 2018[J]. Crit Rev Toxicol, 2022, 52(4): 317-324. DOI: 10.1080/10408444.2022.2082919.
[10]
Chen L, Ma J, Zou Z, et al. Clinical characteristics and prognosis of patients with glioblastoma: a review of survival analysis of 1674 patients based on SEER database[J]. Medicine (Baltimore), 2022, 101(47): e32042. DOI: 10.1097/MD.0000000000032042.
[11]
Alexopoulos G, Zhang J, Karampelas I, et al. Long-term time series forecasting and updates on survival analysis of glioblastoma multiforme: a 1975-2018 population-based study[J]. Neuroepidemiology, 2022, 56(2): 75-89. DOI: 10.1159/000522611.
[12]
Cheng H, Xu JH, Kang XH, et al. Nomograms for predicting overall survival and cancer-specific survival in elderly patients with epithelial ovarian cancer[J]. J Ovarian Res, 2023, 16(1): 75. DOI: 10.1186/s13048-023-01144-y.
[13]
Sclafani JJ, My J, Zacher LL, et al. Intensive education on evidence-based evaluation of syncope increases sudden death risk stratification but fails to reduce use of neuroimaging[J]. Arch Intern Med, 2010, 170(13): 1150-1154. DOI: 10.1001/archinternmed.2010.205.
[14]
Nakajima K, Nakamura S, Hase H, et al. Risk stratification based on j-access risk models with myocardial perfusion imaging: risk versus outcomes of patients with chronic kidney disease[J]. J Nucl Cardiol, 2020, 27(1): 41-50. DOI: 10.1007/s12350-018-1330-8.
[15]
Tseng JH, Tseng MY. Survival analysis of children with primary malignant brain tumors in england and wales: a population-based study[J]. Pediatr Neurosurg, 2006, 42(2): 67-73. DOI: 10.1159/000090458.
[16]
Xie G, Qi C, Yang W, et al. Competing risk nomogram predicting cancer-specific mortality for endometrial cancer patients treated with hysterectomy[J]. Cancer Med, 2021, 10(10): 3205-3213. DOI: 10.1002/cam4.3887.
[17]
Makino K, Nakamura H, Yano S, et al. Population-based epidemiological study of primary intracranial tumors in childhood[J]. Childs Nerv Syst, 2010, 26(8): 1029-1034. DOI: 10.1007/s00381-010-1126-x.
[18]
Wong TT, Ho DM, Chang KP, et al. Primary pediatric brain tumors: statistics of Taipei VGH, Taiwan (1975-2004)[J]. Cancer, 2005, 104(10): 2156-2167. DOI: 10.1002/cncr.21430.
[19]
Cho KT, Wang KC, Kim SK, et al. Pediatric brain tumors: statistics of SNUH, Korea (1959-2000)[J]. Childs Nerv Syst, 2002, 18(1-2): 30-37. DOI: 10.1007/s00381-001-0547-y.
[20]
Matsutani M, Sano K, Takakura K, et al. Primary intracranial germ cell tumors: a clinical analysis of 153 histologically verified cases[J]. J Neurosurg, 1997, 86(3): 446-455. DOI: 10.3171/jns.1997.86.3.0446.
[21]
Janmohamed S, Grossman AB, Metcalfe K, et al. Suprasellar germ cell tumours: specific problems and the evolution of optimal management with a combined chemoradiotherapy regimen[J]. Clin Endocrinol (Oxf), 2002, 57(4): 487-500. DOI: 10.1046/j.1365-2265.2002.01620.x.
[22]
Aizer AA, Sethi RV, Hedley-Whyte ET, et al. Bifocal intracranial tumors of nongerminomatous germ cell etiology: diagnostic and therapeutic implications[J]. Neuro Oncol, 2013, 15(7): 955-960. DOI: 10.1093/neuonc/not050.
[23]
Ogiwara H, Tsutsumi Y, Matsuoka K, et al. Apparent diffusion coefficient of intracranial germ cell tumors[J]. J Neurooncol, 2015, 121(3): 565-571. DOI: 10.1007/s11060-014-1668-y.
[24]
Morana G, Alves CA, Tortora D, et al. T2*-based MR imaging (gradient echo or susceptibility-weighted imaging) in midline and off-midline intracranial germ cell tumors: a pilot study[J]. Neuroradiology, 2018, 60(1): 89-99. DOI: 10.1007/s00234-017-1947-3.
[25]
Bhimani AD, Barrington NM, Aguilar TM, et al. Pituitary germinomas: a multi-institutional study analyzing patient demographics and management patterns[J]. Pituitary, 2020, 23(4): 381-388. DOI: 10.1007/s11102-020-01042-2.
[26]
Che W, Wang Y, Zhou Y, et al. Epidemiology, management, and long-term survival outcomes of intracranial typical site germinomas: an analysis of the surveillance, epidemiology, and end-results (SEER) database[J]. Cancer Control, 2022, 29: 1-9. DOI: 10.1177/10732748221095944.
[27]
吕学明, 赵振宇, 初晨宇, 等. 松果体区肿瘤的治疗策略选择[J]. 中华脑科疾病与康复杂志(电子版), 2019, 9(2): 109-112. DOI: 10.3877/cma.j.issn.2095-123X.2019.02.011.
[28]
蔡昱, 邹勇, 杨光伟, 等. 儿童颅内双灶生殖细胞瘤一例报道并文献复习[J]. 中华神经创伤外科电子杂志, 2021, 7(5): 314-315. DOI: 10.3877/cma.j.issn.2095-9141.2021.05.013.
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