Department of Surgical Oncology, Shaanxi Provincial People's Hospital, Xian 710068, China.
School of Life Science and Technology, Xi'an Jiaotong University, Xi'an 710049, China.
J Healthc Eng. 2022 Mar 23;2022:1230812. doi: 10.1155/2022/1230812. eCollection 2022.
The objective of the study is to develop a nomogram for estimating three- and five-year survival rates in mucinous breast cancer patients.
Between 2010 and 2016, the National Cancer Institute's Surveillance, Epidemiology, and End Results (SEER) were searched as a data source for patients associated with mucinous breast cancer (MBC). A total of 3964 patients were recruited after screening. The multivariate Cox model and the univariate Kaplan-Meier (KM) approach were employed to evaluate the independent prognostic markers, followed by developing a nomogram for estimating three- and five-year survival rates in MBC patients. Consequently, the consistency index (C-index) was employed to assess the predictive accuracy of the generated nomogram.
Age, race, T stage, M stage, surgery, and radiotherapy were all independent predictive biomarkers for the MBC patients ( < 0.05). The nomogram was finally developed based on the underlined factors. Furthermore, the C-index of 0.803 and reliable calibration curves were obtained in the nomogram's assessment.
In patients with mucinous breast cancer, the proposed nomogram provides a viable tool for accurate prognostic prediction. In clinical practice, it could serve as a personalized diagnosis tool, estimate prognosis, and help in suggesting treatment plans for patients with MBC.
本研究旨在建立一个列线图，用于估计黏液性乳腺癌患者的三年和五年生存率。
2010 年至 2016 年，国家癌症研究所的监测、流行病学和最终结果（SEER）被用作黏液性乳腺癌（MBC）相关患者的数据源进行检索。经过筛选后，共招募了 3964 名患者。采用多变量 Cox 模型和单变量 Kaplan-Meier（KM）方法评估独立预后标志物，然后为 MBC 患者建立估计三年和五年生存率的列线图。随后，采用一致性指数（C 指数）评估所生成列线图的预测准确性。
年龄、种族、T 分期、M 分期、手术和放疗均为 MBC 患者的独立预测生物标志物（<0.05）。最终基于下划线因素建立了列线图。此外，该列线图的评估中获得了 0.803 的 C 指数和可靠的校准曲线。
在黏液性乳腺癌患者中，所提出的列线图为准确的预后预测提供了一种可行的工具。在临床实践中，它可以作为一种个性化的诊断工具，用于估计预后，并有助于为 MBC 患者提供治疗方案建议。
