基于SEER数据库和外部验证队列的新发转移性乳腺癌患者的生存图

Lizhi Ning , Yaobang Liu , Yujin Hou , Miaozhou Wang , Mingqiang Shi , Zhen Liu , Jiuda Zhao , Xinlan Liu
{"title":"基于SEER数据库和外部验证队列的新发转移性乳腺癌患者的生存图","authors":"Lizhi Ning ,&nbsp;Yaobang Liu ,&nbsp;Yujin Hou ,&nbsp;Miaozhou Wang ,&nbsp;Mingqiang Shi ,&nbsp;Zhen Liu ,&nbsp;Jiuda Zhao ,&nbsp;Xinlan Liu","doi":"10.1016/j.cpt.2023.07.004","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><p>On average, 5–10% of patients are diagnosed with metastatic breast cancer (MBC) at the initial diagnosis. This study aimed to develop a nomogram to predict the overall survival (OS) in these patients.</p></div><div><h3>Methods</h3><p>The nomogram was based on a retrospective study of 9435 patients with <em>de novo</em> MBC from the Surveillance, Epidemiology, and End Results (SEER) database. The predictive accuracy and discriminative ability of the nomogram were determined using the concordance index (C-index), area under the time-dependent receiver operating characteristic curve (AUC), and calibration curve. Decision curve analysis (DCA) was employed to evaluate the benefits and advantages of our new predicting model over the 8th edition of the American Joint Committee on Cancer (AJCC) Tumor Node Metastasis (TNM) staging system. The results were validated in a retrospective study of 103 patients with <em>de novo</em> MBC from January 2013 to June 2022 at an institution in northwest China.</p></div><div><h3>Results</h3><p>Multivariate analysis of the primary cohort revealed that independent factors for survival were age at diagnosis, pathological type, histological grade, T stage, N stage, molecular subtype, bone metastasis, brain metastasis, liver metastasis, lung metastasis, surgery, chemotherapy, and radiotherapy. The nomogram achieved a C-index of 0.688 (95% confidence interval [CI], 0.682–0.694) in the training cohort and 0.875 (95% CI, 0.816–0.934) in the validation cohort. The AUC of the nomograms indicated good specificity and sensitivity in the training and validation cohorts, respectively. Calibration curves showed favorable consistency between the predicted and actual survival probabilities. Additionally, the DCA curve produced higher net gains than by the AJCC-TNM staging system. Finally, risk stratification can accurately identify groups of patients with <em>de novo</em> MBC at different risk levels.</p></div><div><h3>Conclusions</h3><p>The nomogram showed favorable predictive and discriminative abilities for OS in patients with <em>de novo</em> MBC. Other populations from different countries or prospective studies are needed to further validate the nomogram.</p></div>","PeriodicalId":93920,"journal":{"name":"Cancer pathogenesis and therapy","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Survival nomogram for patients with de novo metastatic breast cancer based on the SEER database and an external validation cohort\",\"authors\":\"Lizhi Ning ,&nbsp;Yaobang Liu ,&nbsp;Yujin Hou ,&nbsp;Miaozhou Wang ,&nbsp;Mingqiang Shi ,&nbsp;Zhen Liu ,&nbsp;Jiuda Zhao ,&nbsp;Xinlan Liu\",\"doi\":\"10.1016/j.cpt.2023.07.004\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><p>On average, 5–10% of patients are diagnosed with metastatic breast cancer (MBC) at the initial diagnosis. This study aimed to develop a nomogram to predict the overall survival (OS) in these patients.</p></div><div><h3>Methods</h3><p>The nomogram was based on a retrospective study of 9435 patients with <em>de novo</em> MBC from the Surveillance, Epidemiology, and End Results (SEER) database. The predictive accuracy and discriminative ability of the nomogram were determined using the concordance index (C-index), area under the time-dependent receiver operating characteristic curve (AUC), and calibration curve. Decision curve analysis (DCA) was employed to evaluate the benefits and advantages of our new predicting model over the 8th edition of the American Joint Committee on Cancer (AJCC) Tumor Node Metastasis (TNM) staging system. The results were validated in a retrospective study of 103 patients with <em>de novo</em> MBC from January 2013 to June 2022 at an institution in northwest China.</p></div><div><h3>Results</h3><p>Multivariate analysis of the primary cohort revealed that independent factors for survival were age at diagnosis, pathological type, histological grade, T stage, N stage, molecular subtype, bone metastasis, brain metastasis, liver metastasis, lung metastasis, surgery, chemotherapy, and radiotherapy. The nomogram achieved a C-index of 0.688 (95% confidence interval [CI], 0.682–0.694) in the training cohort and 0.875 (95% CI, 0.816–0.934) in the validation cohort. The AUC of the nomograms indicated good specificity and sensitivity in the training and validation cohorts, respectively. Calibration curves showed favorable consistency between the predicted and actual survival probabilities. Additionally, the DCA curve produced higher net gains than by the AJCC-TNM staging system. Finally, risk stratification can accurately identify groups of patients with <em>de novo</em> MBC at different risk levels.</p></div><div><h3>Conclusions</h3><p>The nomogram showed favorable predictive and discriminative abilities for OS in patients with <em>de novo</em> MBC. Other populations from different countries or prospective studies are needed to further validate the nomogram.</p></div>\",\"PeriodicalId\":93920,\"journal\":{\"name\":\"Cancer pathogenesis and therapy\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cancer pathogenesis and therapy\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2949713223000472\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cancer pathogenesis and therapy","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2949713223000472","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

背景平均5-10%的患者在初次诊断时被诊断为转移性癌症(MBC)。本研究旨在开发一个列线图来预测这些患者的总生存率(OS)。方法根据监测、流行病学和最终结果(SEER)数据库中9435例新发MBC患者的回顾性研究,绘制列线图。使用一致性指数(C指数)、受试者工作特性曲线下面积(AUC)和校准曲线来确定列线图的预测准确性和判别能力。采用决策曲线分析(DCA)来评估我们的新预测模型相对于第8版美国癌症联合委员会(AJCC)肿瘤结转移(TNM)分期系统的益处和优势。该结果在2013年1月至2022年6月在中国西北一家机构对103名新发MBC患者进行的回顾性研究中得到了验证。结果对主要队列的多变量分析显示,生存的独立因素是诊断时的年龄、病理类型、组织学分级、T分期、N分期、分子亚型、骨转移、脑转移,肝转移、肺转移、手术、化疗和放疗。列线图在训练队列中实现了0.688(95%置信区间[CI],0.682–0.694)的C指数,在验证队列中达到了0.875(95%可信区间,0.816–0.934)。列线图的AUC分别表明在训练和验证队列中具有良好的特异性和敏感性。校准曲线显示了预测存活概率和实际存活概率之间的良好一致性。此外,DCA曲线产生的净增益高于AJCC-TNM分级系统。最后,风险分层可以准确识别处于不同风险水平的新发MBC患者群体。结论诺模图对新发MBC患者OS具有良好的预测和鉴别能力。需要来自不同国家的其他人群或前瞻性研究来进一步验证列线图。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Survival nomogram for patients with de novo metastatic breast cancer based on the SEER database and an external validation cohort

Background

On average, 5–10% of patients are diagnosed with metastatic breast cancer (MBC) at the initial diagnosis. This study aimed to develop a nomogram to predict the overall survival (OS) in these patients.

Methods

The nomogram was based on a retrospective study of 9435 patients with de novo MBC from the Surveillance, Epidemiology, and End Results (SEER) database. The predictive accuracy and discriminative ability of the nomogram were determined using the concordance index (C-index), area under the time-dependent receiver operating characteristic curve (AUC), and calibration curve. Decision curve analysis (DCA) was employed to evaluate the benefits and advantages of our new predicting model over the 8th edition of the American Joint Committee on Cancer (AJCC) Tumor Node Metastasis (TNM) staging system. The results were validated in a retrospective study of 103 patients with de novo MBC from January 2013 to June 2022 at an institution in northwest China.

Results

Multivariate analysis of the primary cohort revealed that independent factors for survival were age at diagnosis, pathological type, histological grade, T stage, N stage, molecular subtype, bone metastasis, brain metastasis, liver metastasis, lung metastasis, surgery, chemotherapy, and radiotherapy. The nomogram achieved a C-index of 0.688 (95% confidence interval [CI], 0.682–0.694) in the training cohort and 0.875 (95% CI, 0.816–0.934) in the validation cohort. The AUC of the nomograms indicated good specificity and sensitivity in the training and validation cohorts, respectively. Calibration curves showed favorable consistency between the predicted and actual survival probabilities. Additionally, the DCA curve produced higher net gains than by the AJCC-TNM staging system. Finally, risk stratification can accurately identify groups of patients with de novo MBC at different risk levels.

Conclusions

The nomogram showed favorable predictive and discriminative abilities for OS in patients with de novo MBC. Other populations from different countries or prospective studies are needed to further validate the nomogram.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Cancer pathogenesis and therapy
Cancer pathogenesis and therapy Surgery, Radiology and Imaging, Cancer Research, Oncology
CiteScore
0.80
自引率
0.00%
发文量
0
审稿时长
54 days
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信