{"title":"南非儿童神经母细胞瘤的存活率更多地受到生物学因素而非社会经济因素的影响","authors":"R. Charlton, Thandeka Ngcana, J. Geel","doi":"10.4102/sajo.v6i0.244","DOIUrl":null,"url":null,"abstract":"Background: Optimal management of neuroblastoma depends on accurate risk stratification at diagnosis. Many low- and middle-income countries lack access to specific genetic tests used globally for this purpose.Aim: To determine whether socioeconomic factors predict prognosis in neuroblastoma and could therefore provide alternative measures for risk stratification in resource-constrained settings.Setting: The three main paediatric oncology units in Johannesburg, South Africa: Charlotte Maxeke Johannesburg Academic Hospital, Chris Hani Baragwanath Academic Hospital and Wits Donald Gordon Medical Centre.Methods: This retrospective record review included 145 patients presenting with biopsy-proven neuroblastoma between 01 January 2000 and 31 December 2018. Kaplan–Meier survival analysis was performed in relation to biological and socioeconomic factors, the latter including parental employment status, nationality, and distance of residence from treating facility. Cox proportional hazards regression analysis assessed the significance and effect of these prognostic factors.Results: Factors with significant effect on survival were age below 18 months (p 0.0001), extra-abdominal primary tumour site (p = 0.02), lower stage (p 0.001), serum ferritin level 0.0001) and favourable International Neuroblastoma Pathological Committee histology (p 0.0001), race (p = 0.005), nationality (p = 0.05) and paternal employment (p = 0.02). The association between distance from treating facility and stage at diagnosis was not significant (Tb = 0.108, p = 0.06).Conclusion: Biological factors exert a great influence on neuroblastoma survival than the socioeconomic factors analysed. This suggests that tumour biology exerts an overriding influence on prognosis in neuroblastoma. ","PeriodicalId":52950,"journal":{"name":"South African Journal of Oncology","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Neuroblastoma survival in South African children is more influenced by biological than socioeconomic factors\",\"authors\":\"R. Charlton, Thandeka Ngcana, J. Geel\",\"doi\":\"10.4102/sajo.v6i0.244\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Background: Optimal management of neuroblastoma depends on accurate risk stratification at diagnosis. Many low- and middle-income countries lack access to specific genetic tests used globally for this purpose.Aim: To determine whether socioeconomic factors predict prognosis in neuroblastoma and could therefore provide alternative measures for risk stratification in resource-constrained settings.Setting: The three main paediatric oncology units in Johannesburg, South Africa: Charlotte Maxeke Johannesburg Academic Hospital, Chris Hani Baragwanath Academic Hospital and Wits Donald Gordon Medical Centre.Methods: This retrospective record review included 145 patients presenting with biopsy-proven neuroblastoma between 01 January 2000 and 31 December 2018. Kaplan–Meier survival analysis was performed in relation to biological and socioeconomic factors, the latter including parental employment status, nationality, and distance of residence from treating facility. Cox proportional hazards regression analysis assessed the significance and effect of these prognostic factors.Results: Factors with significant effect on survival were age below 18 months (p 0.0001), extra-abdominal primary tumour site (p = 0.02), lower stage (p 0.001), serum ferritin level 0.0001) and favourable International Neuroblastoma Pathological Committee histology (p 0.0001), race (p = 0.005), nationality (p = 0.05) and paternal employment (p = 0.02). The association between distance from treating facility and stage at diagnosis was not significant (Tb = 0.108, p = 0.06).Conclusion: Biological factors exert a great influence on neuroblastoma survival than the socioeconomic factors analysed. 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引用次数: 1
摘要
背景:神经母细胞瘤的最佳治疗取决于诊断时准确的风险分层。许多中低收入国家无法获得全球用于此目的的特定基因检测。目的:确定社会经济因素是否能预测神经母细胞瘤的预后,从而为资源受限环境中的风险分层提供替代措施。背景:南非约翰内斯堡的三个主要儿科肿瘤科:Charlotte Maxeke Johannesburg学术医院、Chris Hani Baragwanath学术医院和Wits Donald Gordon医疗中心。方法:本回顾性记录回顾包括2000年1月1日至2018年12月31日期间经活检证实为神经母细胞瘤的145名患者。Kaplan-Meier生存分析与生物学和社会经济因素有关,后者包括父母的就业状况、国籍和与治疗机构的居住距离。Cox比例风险回归分析评估了这些预后因素的意义和影响。结果:对生存率有显著影响的因素是18个月以下的年龄(p 0.0001)、腹部外原发性肿瘤部位(p=0.02)、较低分期(p 0.001)、血清铁蛋白水平0.0001)和有利的国际神经母细胞瘤病理委员会组织学(p 0.00001)、种族(p=0.005),国籍(p=0.05)和父亲的工作(p=0.02)。与治疗机构的距离和诊断阶段之间的相关性不显著(Tb=0.108,p=0.06)。结论:生物学因素比所分析的社会经济因素对神经母细胞瘤的生存影响更大。这表明肿瘤生物学对神经母细胞瘤的预后具有压倒一切的影响。
Neuroblastoma survival in South African children is more influenced by biological than socioeconomic factors
Background: Optimal management of neuroblastoma depends on accurate risk stratification at diagnosis. Many low- and middle-income countries lack access to specific genetic tests used globally for this purpose.Aim: To determine whether socioeconomic factors predict prognosis in neuroblastoma and could therefore provide alternative measures for risk stratification in resource-constrained settings.Setting: The three main paediatric oncology units in Johannesburg, South Africa: Charlotte Maxeke Johannesburg Academic Hospital, Chris Hani Baragwanath Academic Hospital and Wits Donald Gordon Medical Centre.Methods: This retrospective record review included 145 patients presenting with biopsy-proven neuroblastoma between 01 January 2000 and 31 December 2018. Kaplan–Meier survival analysis was performed in relation to biological and socioeconomic factors, the latter including parental employment status, nationality, and distance of residence from treating facility. Cox proportional hazards regression analysis assessed the significance and effect of these prognostic factors.Results: Factors with significant effect on survival were age below 18 months (p 0.0001), extra-abdominal primary tumour site (p = 0.02), lower stage (p 0.001), serum ferritin level 0.0001) and favourable International Neuroblastoma Pathological Committee histology (p 0.0001), race (p = 0.005), nationality (p = 0.05) and paternal employment (p = 0.02). The association between distance from treating facility and stage at diagnosis was not significant (Tb = 0.108, p = 0.06).Conclusion: Biological factors exert a great influence on neuroblastoma survival than the socioeconomic factors analysed. This suggests that tumour biology exerts an overriding influence on prognosis in neuroblastoma.