Lin Yuxiang, Fu Fangmeng, Lin Songping, Qiu Wei, Zhou Wei, Lv Jinxing, Wang Chuan
Department of Breast Surgery, Affiliated Union Hospital of Fujian Medical University, Fuzhou, Fujian Province 350001, China.
Department of General Surgery, Affiliated Union Hospital of Fujian Medical University, Fuzhou, Fujian Province 350001, China.
Oncotarget. 2018 Aug 14;9(63):32108-32118. doi: 10.18632/oncotarget.24964.
Triple negative breast cancer (TNBC) is a subtype of breast cancer with poor prognosis. In this study, we aimed to conduct a nomogram to predict the survival of individual with TNBC by incorporating significant clinical and laboratory parameters. 404 TNBC patients from the Affiliated Union Hospital of Fujian Medical University between 2006 and 2012 were selected in the training cohort. Cox univariate and multivariate regression analyses were adopted to identify independent prognostic factors. The predictive accuracy and discriminative ability of this nomogram were evaluated by concordance index (C-index) and calibration curve. The accuracy of this nomogram was also compared with the 8 AJCC TNM staging system. An external validation cohort was further performed in an independent cohort of 200 patients between 2012 and 2014. Seven independent prognostic factors, including family history of breast cancer, tumor location, number of positive lymph nodes, histological grade, serum CEA, CA125 and CA153 were identified as independent prognostic factors. A nomogram incorporating these prognostic factors was subsequently conducted and the calibration plot on the probability for 3 or 5 years overall survival (OS) showed an optimal agreement between the nomogram prediction and actual observations. In addition, the C-index of this nomogram was higher than that of TNM staging system in both training and validation cohort (training cohort, 0.76 0.66, <0.001 and validation cohort, 0.72 0.64, =0.002, respectively). This proposed nomogram could provide more accurate individual prediction for the prognosis of the patients with TNBC and was able to help physicians to identify subgroups of patients at different risk and to decide who need intensive follow-up or additional treatment.
三阴性乳腺癌(TNBC)是一种预后较差的乳腺癌亚型。在本研究中,我们旨在通过纳入显著的临床和实验室参数构建一个列线图,以预测TNBC患者的生存情况。选取了2006年至2012年间福建医科大学附属协和医院的404例TNBC患者作为训练队列。采用Cox单因素和多因素回归分析来确定独立的预后因素。通过一致性指数(C-index)和校准曲线评估该列线图的预测准确性和判别能力。还将该列线图的准确性与8版美国癌症联合委员会(AJCC)TNM分期系统进行了比较。在2012年至2014年间的一个由200例患者组成的独立队列中进行了外部验证。确定了7个独立的预后因素,包括乳腺癌家族史、肿瘤位置、阳性淋巴结数量、组织学分级、血清癌胚抗原(CEA)、糖类抗原125(CA125)和糖类抗原153(CA153)。随后构建了包含这些预后因素的列线图,3年或5年总生存(OS)概率的校准图显示列线图预测与实际观察结果之间具有最佳一致性。此外,该列线图在训练队列和验证队列中的C-index均高于TNM分期系统(训练队列:0.76对0.66,<0.001;验证队列:0.72对0.64,=0.002)。本研究提出的列线图可为TNBC患者的预后提供更准确的个体预测,并能够帮助医生识别不同风险的患者亚组,以及决定哪些患者需要强化随访或额外治疗。