Risk factors, prognostic factors, and nomograms for bone metastasis in patients with newly diagnosed infiltrating duct carcinoma of the breast: a population-based study.
Risk factors, prognostic factors, and nomograms for bone metastasis in patients with newly diagnosed infiltrating duct carcinoma of the breast: a population-based study.
复制标题
DOI：
10.1186/s12885-020-07635-1
复制
发表时间：
2020-11-25
期刊：
影响因子：
3.8
通讯作者：
Hu C
中科院分区：
文献类型：
--
作者：
Huang Z;Hu C;Liu K;Yuan L;Li Y;Zhao C;Hu C
乳腺癌是女性最常见的恶性肿瘤，也是女性患者的主要死亡原因；乳腺癌最常见的病理类型是浸润性导管癌(IDC)。一些诺模图已被开发用于预测乳腺癌患者的骨转移(BM)。然而，在新诊断的IDC患者中，没有关于BM的诊断和预后诺模图的研究。回顾了2010年至2016年在监测、流行病学和最终结果(SEER)数据库中新诊断为BM的IDC患者。采用多因素Logistic回归分析确定IDC患者发生BM的危险因素。采用单因素和多因素COX比例风险回归分析，探讨影响IDC患者BM预后的因素。然后，我们构建了诺模图来预测IDC患者发生BM的风险和预后。对2015年至2018年在承德医科大学附属医院就诊的113例IDC BM患者进行了Bootstrap再抽样和回顾性研究，对结果进行了验证。这项研究包括SEER数据库中被诊断为IDC的141,959例患者，其中2383例为IDC合并BM患者。IDC患者BM的危险因素包括性别、原发部位、分级、T分期、N分期、肝转移、种族、脑转移、乳腺癌亚型、肺转移、保险状况、婚姻状况。独立的预后因素有脑转移、种族、分级、手术、化疗、年龄、肝转移、乳腺癌亚型、保险状况和婚姻状况。通过校准、受试者工作特征曲线和决策曲线的分析，我们发现IDC合并BM患者的预后预测诺模图在内部和外部都表现出了良好的表现。这些诺模图有望成为预测IDC患者BM风险和预后的一种精确和个性化的工具。这将有助于临床医生制定更合理、更有效的治疗策略。
Breast cancer is the most common malignancy in women, and it is also the leading cause of death in female patients; the most common pathological type of BC is infiltrating duct carcinoma (IDC). Some nomograms have been developed to predict bone metastasis (BM) in patients with breast cancer. However, there are no studies on diagnostic and prognostic nomograms for BM in newly diagnosed IDC patients. IDC patients with newly diagnosed BM from 2010 to 2016 in the Surveillance, Epidemiology and End Results (SEER) database were reviewed. Multivariate logistic regression analysis was used to identify risk factors for BM in patients with IDC. Univariate and multivariate Cox proportional hazards regression analysis were used to explore the prognostic factors of BM in patients with IDC. We then constructed nomograms to predict the risk and prognosis of BM for patients with IDC. The results were validated using bootstrap resampling and retrospective research on 113 IDC patients with BM from 2015 to 2018 at the Affiliated Hospital of Chengde Medical University. This study included 141,959 patients diagnosed with IDC in the SEER database, of whom 2383 cases were IDC patients with BM. The risk factors for BM in patients with IDC included sex, primary site, grade, T stage, N stage, liver metastasis, race, brain metastasis, breast cancer subtype, lung metastasis, insurance status, and marital status. The independent prognostic factors were brain metastases, race, grade, surgery, chemotherapy, age, liver metastases, breast cancer subtype, insurance status, and marital status. Through calibration, receiver operating characteristic curve and decision curve analyses, we found that the nomogram for predicting the prognosis of IDC patients with BM displayed great performance both internally and externally. These nomograms are expected to be a precise and personalized tool for predicting the risk and prognosis for BM in patients with IDC. This will help clinicians develop more rational and effective treatment strategies.
登录
查看更多内容
影响因子：
254.7
作者：
DeSantis, Carol E.;Fedewa, Stacey A.;Jemal, Ahmedin
通讯作者：
Jemal, Ahmedin
影响因子：
3.8
作者：
Abdel-Rahman, Omar
通讯作者：
Abdel-Rahman, Omar
影响因子：
3.6
作者：
Vickers, Andrew J.;Elkin, Elena B.
通讯作者：
Elkin, Elena B.
DOI：
10.1016/s1470-2045(14)71116-7
发表时间：
2015-04
期刊：
The Lancet. Oncology
影响因子：
--
作者：
Balachandran VP;Gonen M;Smith JJ;DeMatteo RP
通讯作者：
DeMatteo RP
影响因子：
4
作者：
Gong, Yue;Zhang, Jing;Shao, Zhi-Ming
通讯作者：
Shao, Zhi-Ming