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列线图预测非转移性乳腺癌术前放疗的生存获益:一项基于监测、流行病学和最终结果(SEER)数据库的研究

Nomogram predicts survival benefit from preoperative radiotherapy for non-metastatic breast cancer: A SEER-based study.

作者信息

Liu Jianjun, Su Mingxue, Hong Shikai, Gao Hong, Zheng Xucai, Wang Shengying

机构信息

Department of Head, Neck, and Breast Surgery, Anhui Provincial Cancer Hospital, West Branch of Anhui Provincial Hospital, Hefei, China.

Department of Infectious Disease Epidemiology, Lu'an People's Hospital, Lu'an, China.

出版信息

Oncotarget. 2017 Jul 25;8(30):49861-49868. doi: 10.18632/oncotarget.17991.

Abstract

BACKGROUND

To estimate survival in non-metastatic breast cancer patients who failed to achieve a pathological complete response (pCR) more effectively, we combined the clinicpathological characteristics after preoperative radiation therapy (pRT) and established a novel nomogram.

MATERIALS AND METHODS

Using the Surveillance, Epidemiology, and End Results (SEER) database, we identified 2,545 non-metastatic breast cancer patients who underwent pRT between 1998 and 2013. Based on the registries of patients, the primary cohort divided into training set (n = 1,692) and validation set (n = 853). Nomograms were established by training set and validated by validation set.

RESULTS

According to the multivariate analysis of training set, nomogram which combined age at diagnosed, marital status, location, grade, ER status, yp-T status, yp-N status and whether received breast conservation surgery (BCS) was developed. Calibration plots of the nomograms showed that the probability of DSS corresponded to actual observation closely. The C-index was 0.78 in validation set, which was significantly higher than that of yp-TNM staging system (0.75, p = 0.004).

CONCLUSIONS

The proposed nomogram resulted in more-reliable DSS prediction for non-metastatic breast cancer patients in general population, it would be helpful in individualized survival prediction and better treatment allocation after pRT.

摘要

背景

为了更有效地评估未达到病理完全缓解(pCR)的非转移性乳腺癌患者的生存率,我们结合了术前放疗(pRT)后的临床病理特征并建立了一种新型列线图。

材料与方法

利用监测、流行病学和最终结果(SEER)数据库,我们确定了1998年至2013年间接受pRT的2545例非转移性乳腺癌患者。根据患者登记情况,将主要队列分为训练集(n = 1692)和验证集(n = 853)。通过训练集建立列线图,并通过验证集进行验证。

结果

根据训练集的多因素分析,开发了结合诊断时年龄、婚姻状况、肿瘤位置、分级、雌激素受体(ER)状态、yp-T状态、yp-N状态以及是否接受保乳手术(BCS)的列线图。列线图的校准图显示,疾病特异性生存(DSS)概率与实际观察结果密切相关。验证集中的C指数为0.78,显著高于yp-TNM分期系统(0.75,p = 0.004)。

结论

所提出的列线图对一般人群中的非转移性乳腺癌患者的DSS预测更可靠,有助于个体化生存预测和pRT后的更好治疗分配。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa08/5564813/cdb3c96f0ea3/oncotarget-08-49861-g001.jpg

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