Current Oncology (Dec 2023)

Factors Predictive of Positive Lymph Nodes for Breast Cancer

  • Kelly M. Elleson,
  • Katherine Englander,
  • Julia Gallagher,
  • Neha Chintapally,
  • Weihong Sun,
  • Junmin Whiting,
  • Melissa Mallory,
  • John Kiluk,
  • Susan Hoover,
  • Nazanin Khakpour,
  • Brian Czerniecki,
  • Christine Laronga,
  • Marie Catherine Lee

DOI
https://doi.org/10.3390/curroncol30120754
Journal volume & issue
Vol. 30, no. 12
pp. 10351 – 10362

Abstract

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Background: Axillary node status is an important prognostic factor in breast cancer. The primary aim was to evaluate tumor size and other characteristics relative to axillary disease. Materials and Methods: Single institution retrospective chart review of stage I-III breast cancer patients collected demographic and clinical/pathologic data from 1998–2019. Student’s t-test, Chi-squared test (or Fisher exact test if applicable), and logistic regression models were used for testing the association of pN+ to predictive variables. Results: Of 728 patients (mean age 59 yrs) with mean follow up of 50 months, 86% were estrogen receptor +, 10% Her2+, 78% ER+HER2−negative, and 10% triple-negative. In total, 351/728 (48.2%) were pN+ and mean tumor size was larger in pN+ cases compared to pN− cases (mean = 27.7 mm versus 15.5 mm) (p p pp < 0.05). Conclusions: Larger tumor size and shorter tumor-nipple distance were associated with higher lymph node positivity. Age less than 60, LVI, recurrence, mastectomy, larger tumor size, and shorter tumor-nipple distance were all associated with 3+ positive lymph nodes.

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