Yazdani Akram, Dorri Sara, Atashi Alirezza, Shirafkan Hoda, Zabolinezhad Hedieh
Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Medical Informatics Department, Breast Cancer Research Center, Motamed Cancer Institute, ACECR, Tehran, Iran.
Breast Cancer (Auckl). 2019 Feb 22;13:1178223419830978. doi: 10.1177/1178223419830978. eCollection 2019.
Bone is the most common site of metastasis in breast cancer. Prognostic factors for predicting bone metastases in breast cancer are controversial yet. In this study, we investigated clinical factors associated with secondary bone metastasis of breast cancer.
In total, 1690 patients with breast cancer recorded between 2002 and 2012 in Motamed Cancer Institute, Tehran, Iran entered in the retrospective study. We studied age, menopausal status, histologic type, tumor size, number of cancerous axillary lymph nodes, serum concentrations of alkaline phosphatase (ALP), carcinogenicity antigen (CEA), cancer antigen (CA)-153, and hemoglobin (HB) in 2 groups with bone metastases (n = 123) and without it, respectively. We applied logistic regression to identify bone metastasis prognostic factors in breast cancer patients and calculated the cut-off value, sensitivity, and characteristics of independent prognostic factors using receiver operating characteristic (ROC) curve analysis.
Menopause, larger tumor size, and the greater number of cancerous axillary lymph nodes increased the chance of bone metastases significantly ( < .05). There was no significant difference between mean groups with and without bone metastases regarding serum concentration of CEA, CA-153, HB, and histopathologic type ( > .05). Logistic regression showed that age (odds ratio (OR) = 1.021), menopausal status (OR = 1.854), number of cancerous axillary lymph nodes (OR = 1.065), a tumor size between 2 and 5 cm diameter (OR = 2.002) and more than 5 cm diameter (OR = 4.009), and ALP (OR = 1.005) are independent prognostic factors associated with bone metastases. The ROC curve showed that the abovementioned factors have comparable predictive accuracy for bone metastases.
Age, menopausal status, number of axillary lymph node metastases, tumor size, and ALP were identified as prognostic factors for bone metastasis in patients with breast cancer. So patients with these characteristics should be monitored more precisely with regular follow-ups.
骨是乳腺癌最常见的转移部位。目前,预测乳腺癌骨转移的预后因素仍存在争议。在本研究中,我们调查了与乳腺癌继发性骨转移相关的临床因素。
对2002年至2012年期间记录在伊朗德黑兰莫塔梅德癌症研究所的1690例乳腺癌患者进行回顾性研究。我们分别研究了有骨转移(n = 123)和无骨转移两组患者的年龄、绝经状态、组织学类型、肿瘤大小、癌性腋窝淋巴结数量、血清碱性磷酸酶(ALP)、癌胚抗原(CEA)、癌抗原(CA)-153和血红蛋白(HB)浓度。我们应用逻辑回归分析来确定乳腺癌患者骨转移的预后因素,并使用受试者工作特征(ROC)曲线分析计算截断值、敏感性和独立预后因素的特征。
绝经、肿瘤较大以及癌性腋窝淋巴结数量较多显著增加了骨转移的几率(P <.05)。有骨转移组和无骨转移组在血清CEA、CA-153、HB浓度及组织病理学类型方面无显著差异(P >.05)。逻辑回归分析显示,年龄(比值比(OR)= 1.021)、绝经状态(OR = 1.854)、癌性腋窝淋巴结数量(OR = 1.065)、直径在2至5 cm之间的肿瘤(OR = 2.002)和直径大于5 cm的肿瘤(OR = 4.009)以及ALP(OR = 1.005)是与骨转移相关的独立预后因素。ROC曲线显示上述因素对骨转移具有相当的预测准确性。
年龄、绝经状态、腋窝淋巴结转移数量、肿瘤大小和ALP被确定为乳腺癌患者骨转移的预后因素。因此,具有这些特征的患者应通过定期随访进行更精确的监测。