Department of Oncology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Department of Breast and Thyroid Surgery, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Front Endocrinol (Lausanne). 2022 Jan 18;12:811878. doi: 10.3389/fendo.2021.811878. eCollection 2021.
Young women with breast cancer are determined to present poorer survival compare with elderly patients. Therefore, identifying the clinical prognostic factors in young women with early-stage (TNM) breast cancer is pivotal for surgeons to make better postoperative management.
The clinicopathological characteristics of female patients with early-stage breast cancer from the Surveillance, Epidemiology, and End Results program between Jan 2010 and Dec 2015 were retrospectively reviewed and analyzed. Univariate and multivariate Cox regression analyses were used to determine the potential risk factors of cancer-specific survival in young women with early-stage breast cancer. The nomogram was constructed and further evaluated by an internal validation cohort. The Kaplan-Meier survival curves were used to estimate cancer-specific survival probability and the cumulative incidence.
Six variables including race, tumor location, grade, regional lymph node status, tumor subtype, and size were identified to be significantly associated with the prognosis of young women with early-stage breast cancer during the postoperative follow-up. A nomogram for predicting the 3-, 5- year cancer-specific survival probability in this subpopulation group was established with a favorable concordance index of 0.783, supported by an internal validation cohort with the AUC of 0.722 and 0.696 in 3-, 5- year cancer-specific survival probability, respectively.
The first predictive nomogram containing favorable discrimination is successfully established and validated for predicting the 3-, 5- year cancer-specific survival probability in young women with early-stage breast cancer during the postoperative follow-up. This model would help clinicians to make accurate treatment decisions in different clinical risk population.
与老年患者相比，年轻女性乳腺癌患者的生存情况较差。因此，对于外科医生来说，确定早期（TNM）乳腺癌年轻女性的临床预后因素至关重要，以便做出更好的术后管理决策。
回顾性分析了 2010 年 1 月至 2015 年 12 月期间监测、流行病学和最终结果计划中女性早期乳腺癌患者的临床病理特征。采用单因素和多因素 Cox 回归分析确定年轻女性早期乳腺癌患者癌症特异性生存的潜在危险因素。构建并通过内部验证队列进一步评估列线图。Kaplan-Meier 生存曲线用于估计癌症特异性生存概率和累积发生率。
有 6 个变量，包括种族、肿瘤位置、分级、区域淋巴结状态、肿瘤亚型和大小，与年轻女性早期乳腺癌患者术后随访期间的预后显著相关。建立了一个用于预测该亚组人群 3 年和 5 年癌症特异性生存率的列线图，具有良好的一致性指数为 0.783，内部验证队列的 AUC 分别为 0.722 和 0.696，用于预测 3 年和 5 年癌症特异性生存率。
成功建立并验证了一个包含良好区分度的首个预测列线图，用于预测年轻女性早期乳腺癌患者术后随访期间的 3 年和 5 年癌症特异性生存率。该模型有助于临床医生在不同的临床风险人群中做出准确的治疗决策。
