BACKGROUND: There are conflicting data on the prognostic significance of the number of lymph nodes examined in patients with lymph node-negative breast carcinoma. Therefore, the authors analyzed the impact of the number of tumor-free axillary lymph nodes on disease-free survival (DFS) in two distinct patient populations. METHODS: Eight hundred thirty-three consecutive patients with breast carcinoma who underwent mastectomy between 1927 and 1987 and 1094 consecutive patients with breast carcinoma who underwent with breast-conservation therapy between 1984 and 2001 were diagnosed pathologically with negative axillary lymph node status. Patients were stratified into 4 groups according to the number of lymph nodes examined: Group 1 had 1-3 lymph nodes examined, Group 2 had 4-9 lymph nodes examined, Group 3 had 10-20 lymph nodes examined, and Group 4 had >20 lymph nodes examined. RESULTS: In the mastectomy cohort, with a median follow-up of 153 months, the 10-year DFS rate was 70%, 65%, 79%, and 81% for Groups 1-4, respectively. On multivariate analysis, pathologic tumor size (P<0.001) and the number of lymph nodes examined (P=0.010) were significant predictors for long-term DFS. In the breast-conservation cohort, with a median follow-up of 53 months, the 5-year DFS rate was 90%, 91%, 92%, and 95% for Groups 1-4, respectively. On multivariate analysis, the only predictors of DFS were method of detection (clinically vs. mammographically) (P=0.003) and tumor size (P=0.035). CONCLUSIONS: The recovery of <10 lymph nodes in lymph node-negative patients who underwent mastectomy resulted in a 10-15% decreased long-term DFS rate compared with patients who had a more extensive axillary assessment. However, the number of lymph nodes examined did not have an impact on the DFS rate in a contemporary cohort of patients who underwent breast-conservation therapy, which included radiation. Copyright (c) 2005 American Cancer Society.
BACKGROUND: There are conflicting data on the prognostic significance of the number of lymph nodes examined in patients with lymph node-negative breast carcinoma. Therefore, the authors analyzed the impact of the number of tumor-free axillary lymph nodes on disease-free survival (DFS) in two distinct patient populations. METHODS: Eight hundred thirty-three consecutive patients with breast carcinoma who underwent mastectomy between 1927 and 1987 and 1094 consecutive patients with breast carcinoma who underwent with breast-conservation therapy between 1984 and 2001 were diagnosed pathologically with negative axillary lymph node status. Patients were stratified into 4 groups according to the number of lymph nodes examined: Group 1 had 1-3 lymph nodes examined, Group 2 had 4-9 lymph nodes examined, Group 3 had 10-20 lymph nodes examined, and Group 4 had >20 lymph nodes examined. RESULTS: In the mastectomy cohort, with a median follow-up of 153 months, the 10-year DFS rate was 70%, 65%, 79%, and 81% for Groups 1-4, respectively. On multivariate analysis, pathologic tumor size (P<0.001) and the number of lymph nodes examined (P=0.010) were significant predictors for long-term DFS. In the breast-conservation cohort, with a median follow-up of 53 months, the 5-year DFS rate was 90%, 91%, 92%, and 95% for Groups 1-4, respectively. On multivariate analysis, the only predictors of DFS were method of detection (clinically vs. mammographically) (P=0.003) and tumor size (P=0.035). CONCLUSIONS: The recovery of <10 lymph nodes in lymph node-negative patients who underwent mastectomy resulted in a 10-15% decreased long-term DFS rate compared with patients who had a more extensive axillary assessment. However, the number of lymph nodes examined did not have an impact on the DFS rate in a contemporary cohort of patients who underwent breast-conservation therapy, which included radiation. Copyright (c) 2005 American Cancer Society.
Authors: Thalia Erbes; Marzenna Orlowska-Volk; Axel Zur Hausen; Gerta Rücker; Sebastian Mayer; Matthias Voigt; Juliane Farthmann; Severine Iborra; Marc Hirschfeld; Philipp T Meyer; Gerald Gitsch; Elmar Stickeler Journal: BMC Cancer Date: 2014-01-03 Impact factor: 4.430
Authors: Ruediger Liersch; Satoshi Hirakawa; Wolfgang E Berdel; Rolf M Mesters; Michael Detmar Journal: Int J Oncol Date: 2012-10-16 Impact factor: 5.650