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A Novel Staging System for De Novo Metastatic Breast Cancer Refines Prognostic Estimates
- Source :
- Ann Surg
- Publication Year :
- 2020
- Publisher :
- Ovid Technologies (Wolters Kluwer Health), 2020.
-
Abstract
- OBJECTIVE: We aim to identify prognostic groups within a de novo metastatic cohort, incorporating both anatomic and biologic factors. BACKGROUND: Staging for breast cancer now includes anatomic and biologic factors, although the guidelines for stage IV disease do not account for how these factors may influence outcomes. METHODS: Adults with de novo metastatic breast cancer were selected from the National Cancer DataBase (2010–2013). Recursive partitioning analysis was used to group patients with similar overall survival (OS) based on clinical T/N stage, tumor grade, ER, PR, HER2, number of metastatic sites, and presence of bone-only metastases. Categories were created by amalgamating homogeneous groups based on 3-year OS rates (stage IVA: >50%, stage IVB: 30%–50%, stage IVC: 1) as the first stratification point, and ER status as the second stratification point for both resulting groups. Additional divisions were made based on HER2 status, PR status, cT stage, tumor grade, and presence of bone-only metastases. After bootstrapping, significant differences in 3-year OS were noted between the 3 groups [stage IVB vs IVA: HR 1.58 (95% confidence interval 1.50–1.67), stage IVC vs IVA: HR 3.54 (95% confidence interval 3.33–3.77)]. CONCLUSIONS: Both anatomic and biologic factors yielded reliable and reproducible prognostic estimates among patients with metastatic disease. These findings support formal stratification of de novo stage IV breast cancer into 3 distinct prognosis groups.
- Subjects :
- Adult
Oncology
medicine.medical_specialty
Receptor, ErbB-2
Bone Neoplasms
Breast Neoplasms
Recursive partitioning
Disease
Article
Biological Factors
03 medical and health sciences
0302 clinical medicine
Breast cancer
Internal medicine
medicine
Humans
Stage (cooking)
Neoplasm Staging
Retrospective Studies
business.industry
Cancer
Prognosis
medicine.disease
Metastatic breast cancer
Confidence interval
030220 oncology & carcinogenesis
Cohort
Female
030211 gastroenterology & hepatology
Surgery
business
Subjects
Details
- ISSN :
- 15281140 and 00034932
- Volume :
- 275
- Database :
- OpenAIRE
- Journal :
- Annals of Surgery
- Accession number :
- edsair.doi.dedup.....f623d587c35ca0a597068e2cfb704425
- Full Text :
- https://doi.org/10.1097/sla.0000000000004231