Yong Yang , Jing Yu , Silin Chen , Xiaomin Wang , Furong Wu , Cheng Huang , Yuping Lin , Tianlan Tang , Tiantian Gao , Zewei Zhang , Yiping Zhang , Liyan Wang , Junqiang Chen , Zhenyang Zhang , Weijie Wang , Jiangbo Lin , Ying Wang , Yuanji Xu , Lei Zhao
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The RSS was established based on covariates associated with overall survival (OS) with a two-sided <em>P</em>-value of < 0.05 in multivariable regression. Survival discrimination of RSS was assessed.</div></div><div><h3>Results</h3><div>In the training cohort, multivariate regression analysis revealed age, Eastern Cooperative Oncology Group score, and initial lymph node metastasis to be independent prognostic factors for OS in non-distant metastatic PESCC; concurrent hepatic metastasis was the only significant predictor of distant metastatic PESCC. Accordingly, the RSS was developed and could classify patients into four subgroups: low-risk localized disease (LLD, defined as non-distant metastasis PESCC without risk factors, n = 58); high-risk localized disease (HLD, defined as non-distant metastasis PESCC with ≥ 1 risk factor, n = 199); low-risk metastatic disease (LMD, defined as metastatic PESCC without concomitant liver metastases, n = 103); and high-risk metastatic disease (HMD, definded as metastatic disease with synchronous liver metastases, n = 63). Three-year OS rates were 52.5%, 29.5%, 14.4%, and 5.7% for LLD, HLD, LMD, and HMD, respectively. When compared with the tumor-node-metastasis (TNM) system, RSS showed a consistently superior ability to predict OS in both the training and validation cohorts.</div></div><div><h3>Conclusion</h3><div>The RSS is a reliable stratification model that could be used to optimize treatment for PESCC.</div></div>","PeriodicalId":73987,"journal":{"name":"Journal of the National Cancer Center","volume":"5 2","pages":"Pages 212-220"},"PeriodicalIF":7.6000,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A novel risk stratification system for primary small-cell carcinoma of the esophagus: indication for prognostication and staging\",\"authors\":\"Yong Yang , Jing Yu , Silin Chen , Xiaomin Wang , Furong Wu , Cheng Huang , Yuping Lin , Tianlan Tang , Tiantian Gao , Zewei Zhang , Yiping Zhang , Liyan Wang , Junqiang Chen , Zhenyang Zhang , Weijie Wang , Jiangbo Lin , Ying Wang , Yuanji Xu , Lei Zhao\",\"doi\":\"10.1016/j.jncc.2025.02.003\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><div>Primary small cell carcinoma of the oesophagus (PSCCE) is a gastrointestinal tumour of rare onset. 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引用次数: 0
摘要
背景:原发性食管小细胞癌(PSCCE)是一种罕见的胃肠道肿瘤。本研究旨在探讨一种新的风险分层系统(RSS)在PSCCE中的作用。方法研究纳入2008-2021年在中国5家医疗机构就诊的PSCCE患者,其中4例作为训练集(n = 422)用于构建RSS,另1例作为单独队列(n = 256)用于验证模型。RSS是基于与总生存期(OS)相关的协变量建立的,双侧p值为<;多变量回归0.05。评估RSS的生存歧视。结果在培训队列中,多因素回归分析显示,年龄、东部肿瘤合作组评分和初始淋巴结转移是非远处转移性PESCC发生OS的独立预后因素;并发肝转移是远处转移性PESCC的唯一显著预测因子。据此,RSS被开发出来,并可以将患者分为四个亚组:低风险局限性疾病(LLD,定义为无危险因素的非远处转移的PESCC, n = 58);高风险局部性疾病(HLD,定义为非远处转移且危险因素≥1的PESCC, n = 199);低风险转移性疾病(LMD,定义为无肝转移的转移性PESCC, n = 103);高风险转移性疾病(HMD,定义为伴有同步肝转移的转移性疾病,n = 63)。LLD、HLD、LMD和HMD的3年OS率分别为52.5%、29.5%、14.4%和5.7%。与肿瘤-淋巴结-转移(TNM)系统相比,在训练组和验证组中,RSS显示出一贯优越的预测OS的能力。结论RSS是一种可靠的分层模型,可用于PESCC的优化治疗。
A novel risk stratification system for primary small-cell carcinoma of the esophagus: indication for prognostication and staging
Background
Primary small cell carcinoma of the oesophagus (PSCCE) is a gastrointestinal tumour of rare onset. The current study was to investigate the role of a novel risk stratification system (RSS) for PSCCE.
Methods
The study included patients with PSCCE attending any of five medical institutions in China in 2008–2021, four of which served as a training set (n = 422) for construction of the RSS while the other served as a separate cohort (n = 256) for validation of the model. The RSS was established based on covariates associated with overall survival (OS) with a two-sided P-value of < 0.05 in multivariable regression. Survival discrimination of RSS was assessed.
Results
In the training cohort, multivariate regression analysis revealed age, Eastern Cooperative Oncology Group score, and initial lymph node metastasis to be independent prognostic factors for OS in non-distant metastatic PESCC; concurrent hepatic metastasis was the only significant predictor of distant metastatic PESCC. Accordingly, the RSS was developed and could classify patients into four subgroups: low-risk localized disease (LLD, defined as non-distant metastasis PESCC without risk factors, n = 58); high-risk localized disease (HLD, defined as non-distant metastasis PESCC with ≥ 1 risk factor, n = 199); low-risk metastatic disease (LMD, defined as metastatic PESCC without concomitant liver metastases, n = 103); and high-risk metastatic disease (HMD, definded as metastatic disease with synchronous liver metastases, n = 63). Three-year OS rates were 52.5%, 29.5%, 14.4%, and 5.7% for LLD, HLD, LMD, and HMD, respectively. When compared with the tumor-node-metastasis (TNM) system, RSS showed a consistently superior ability to predict OS in both the training and validation cohorts.
Conclusion
The RSS is a reliable stratification model that could be used to optimize treatment for PESCC.