Relationship between age and axillary lymph node involvement in women with breast cancer

J Clin Oncol. 2009 Jun 20;27(18):2931-7. doi: 10.1200/JCO.2008.16.7619. Epub 2009 May 18.

Abstract

Purpose: To study the relation between the presence of axillary lymph node (LN) involvement and age in breast cancer.

Patients and methods: The breast cancer database of the University Hospitals Leuven contains complete data on 2,227 patients with early breast cancer consecutively treated between 2000 and 2005. A multivariate piecewise logistic regression model was used to analyze LN involvement in relation to age at diagnosis. A similar analysis was then performed on a large, independent, population-based database from the Eindhoven Cancer Registry to investigate whether the effects of the Leuven model could be replicated.

Results: We observed a piecewise effect of age. That is, women up to 70 years of age were less likely to have positive LNs with increasing age (odds ratio per 10-year increase, 0.87). In contrast, older women were more likely to have positive LNs with increasing age. However, for older women, the effect of age interacted with tumor size (P = .0044), suggesting that increasing age is associated with increased risk of LN involvement, mainly in small tumors. These findings were replicated in the Eindhoven Cancer Registry database.

Conclusion: Axillary LN involvement varies with age at diagnosis; its probability decreases with increasing age up to the age of approximately 70 years, but increases again thereafter. However, this increase is mainly seen in smaller tumors and suggests a different behavior of small breast cancers in older adult patients. We hypothesize that decreased immune defense mechanisms, related with aging, may play a role in earlier invasion into LNs.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Age Factors
  • Aged
  • Aged, 80 and over
  • Axilla
  • Breast Neoplasms / pathology*
  • Female
  • Humans
  • Lymph Nodes / pathology*
  • Middle Aged
  • Models, Statistical
  • Regression Analysis