Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Thorac Cancer. 2024 Oct;15(30):2193-2205. doi: 10.1111/1759-7714.15452. Epub 2024 Sep 15.
Although de novo metastatic breast cancer (dnMBC) is acknowledged as a heterogeneous disease, the current staging systems do not distinguish between patients within the M1 or stage IV category. This study aimed to refine the M1 category and prognostic staging for dnMBC to enhance prognosis prediction and guide the choice of locoregional treatment.
We selected patients with dnMBC from the SEER database (2010-2019), grouping them into training (N = 8048) and internal validation (N = 3450) cohorts randomly at a 7:3 ratio. An independent external validation cohort (N = 660) was enrolled from dnMBC patients (2010-2023) treated in three hospitals. Nomogram-based risk stratification was employed to refine the M1 category and prognostic stage, incorporating T/N stage, histologic grade, subtypes, and the location and number of metastatic sites. Both internal and external validation sets were used for validation analyses.
Brain, liver, or lung involvement and multiple metastases were independent prognostic factors for overall survival (OS). The nomogram-based stratification effectively divided M1 stage into three groups: M1a (bone-only involvement), M1b (liver or lung involvement only, with or without bone metastases), and M1c (brain metastasis or involvement of both liver and lung, regardless of other metastatic sites). Only subtype and M1 stage were included to define the final prognostic stage. Significant differences in OS were observed across M1 and prognostic subgroups. Patients with the M1c stage benefited less from primary tumor surgery in comparison with M1a stage.
Subdivision of the M1 and prognostic stage could serve as a supplement to the current staging guidelines for dnMBC and guide locoregional treatment.
虽然新发转移性乳腺癌(dnMBC)被认为是一种异质性疾病,但目前的分期系统无法区分 M1 期或 IV 期患者。本研究旨在细化 M1 期和 dnMBC 的预后分期,以提高预后预测能力并指导局部区域治疗的选择。
我们从 SEER 数据库(2010-2019 年)中选择 dnMBC 患者,将其分为训练队列(N=8048)和内部验证队列(N=3450),比例为 7:3。还从三家医院接受 dnMBC 治疗的患者中纳入独立的外部验证队列(N=660)(2010-2023 年)。采用列线图风险分层方法对 M1 期和预后分期进行细化,纳入 T/N 分期、组织学分级、亚型以及转移部位的位置和数量。内部和外部验证集均用于验证分析。
脑、肝或肺转移以及多发转移是总生存(OS)的独立预后因素。基于列线图的分层方法有效地将 M1 期分为三组:M1a(仅骨转移)、M1b(仅肝或肺转移,无论是否有骨转移)和 M1c(脑转移或肝和肺同时转移,无论其他转移部位如何)。最终的预后分期仅纳入亚型和 M1 期。M1 和预后亚组之间的 OS 存在显著差异。与 M1a 期相比,M1c 期患者从原发肿瘤手术中获益较少。
M1 期和预后分期的细分可以作为 dnMBC 现行分期指南的补充,并指导局部区域治疗。