Pattern of metastatic spread and subcategories of breast cancer

Arch Gynecol Obstet. 2017 Jan;295(1):211-223. doi: 10.1007/s00404-016-4225-4. Epub 2016 Nov 10.

Abstract

Purpose: The development of metastases is the most aggressive attribute of breast cancer. In this retrospective multicenter study, we evaluated if and how the different pathological breast cancer subtypes influence the spreading of tumor cells, the development of metastasis and the survival of breast cancer patients.

Methods: This retrospective German multicenter study is based on the BRENDA collective including 9625 breast cancer patients treated in the adjuvant setting. We used the χ 2 tests for the analysis of the categorical variables between groups of patients with different sites of metastasis. Survival distributions and median survival times were estimated using the Kaplan-Meier product-limit method. The log-rank test was applied to compare survival rates. The Cox proportional hazards model was used to estimate the hazard ratio and confidence intervals.

Results: 886 women developed metastases during a time interval of 53 months after primary diagnosis. Luminal A tumor patients were more likely to get bone metastases than lung, liver or CNS metastases. Patients with a triple-negative subtype were, however, the least affected by metastasis in the skeleton. They were most likely to develop visceral metastases. Location, numbers of metastases herein and the subtype influenced the overall survival (OAS). Altogether, the best OAS was found in patients with the luminal A subtype, the worst in patients with the triple-negative subtype.

Conclusions: Knowledge of the typical metastatic pattern of the subtypes of breast cancer will help to personalize therapeutic options and follow-up examinations of cancer patients.

Keywords: BRENDA; Breast cancer; Breast cancer subtypes; Metastatic pattern; Metastatic spread.

Publication types

  • Multicenter Study

MeSH terms

  • Bone Neoplasms / secondary*
  • Breast Neoplasms / pathology*
  • Female
  • Humans
  • Kaplan-Meier Estimate
  • Proportional Hazards Models
  • Retrospective Studies
  • Survival Rate