caa a22 4500 445332859 CHVBK 20180317142743.0 cr unu---uuuuu 170323e20110101xx s 000 0 eng 10.1245/s10434-010-1202-1 doi (NATIONALLICENCE)springer-10.1245/s10434-010-1202-1 The Number of Axillary Lymph Nodes Involved with Metastatic Breast Cancer Does not Affect Outcome as Long as All Disease is Confined to the Sentinel Lymph Nodes [Elektronische Daten] [James Jakub, Kanesha Bryant, Marianne Huebner, Tanya Hoskin, Judy Boughey, Carol Reynolds, Amy Degnim] Background: In breast cancer, a direct relationship exists between prognosis and the number of lymph nodes involved with metastatic disease. This study was undertaken to determine whether metastatic disease confined to the sentinel lymph nodes (SLN) has better prognosis than metastatic disease spread to non-SLNs, regardless of the number of nodes involved. Methods: The study group consisted of 449 breast cancer patients with positive axillary SLN who underwent regional nodal dissection. Cox proportional-hazard regression models were used to assess the association of the number of positive SLNs and non-SLNs with overall survival (OS) and disease-free survival (DFS). Results: In patients with disease confined to the SLNs, as the number of positive SLNs increased the OS and DFS remained the same. Once disease was present beyond the SLN, both DFS and OS were negatively impacted. On multivariate analysis non-SLN status remained an independent predictor of OS. A direct comparison was performed on the subset of patients with two positive lymph nodes. Group 1 had all disease confined to the SLNs (two positive SLNs), and group 2 had non-SLN disease (one positive SLN and one positive non-SLN). Despite an identical number of positive nodes, the OS rates were significantly worse in the group with disease present in a non-SLN (P=0.004). Conclusion: The number of nodes involved with metastatic disease does not impact OS and DFS if all disease is confined to the SLNs. Non-SLN involvement negatively influences OS and DFS independent of the number of positive nodes. Society of Surgical Oncology, 2010 Jakub James Department of Surgery, Mayo Clinic and Mayo Foundation, Rochester, MN, USA aut Bryant Kanesha Department of Surgery, Mayo Clinic and Mayo Foundation, Rochester, MN, USA aut Huebner Marianne Division of Biomedical Statistics and Informatics, Mayo Clinic and Mayo Foundation, Rochester, MN, USA aut Hoskin Tanya Division of Biomedical Statistics and Informatics, Mayo Clinic and Mayo Foundation, Rochester, MN, USA aut Boughey Judy Department of Surgery, Mayo Clinic and Mayo Foundation, Rochester, MN, USA aut Reynolds Carol Department of Laboratory Medicine and Pathology, Mayo Clinic and Mayo Foundation, Rochester, MN, USA aut Degnim Amy Department of Surgery, Mayo Clinic and Mayo Foundation, Rochester, MN, USA aut Annals of Surgical Oncology Springer-Verlag 18/1(2011-01-01), 86-93 1068-9265 18:1<86 2011 18 10434 https://doi.org/10.1245/s10434-010-1202-1 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1245/s10434-010-1202-1 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Jakub James Department of Surgery, Mayo Clinic and Mayo Foundation, Rochester, MN, USA aut NATIONALLICENCE 700 1- Bryant Kanesha Department of Surgery, Mayo Clinic and Mayo Foundation, Rochester, MN, USA aut NATIONALLICENCE 700 1- Huebner Marianne Division of Biomedical Statistics and Informatics, Mayo Clinic and Mayo Foundation, Rochester, MN, USA aut NATIONALLICENCE 700 1- Hoskin Tanya Division of Biomedical Statistics and Informatics, Mayo Clinic and Mayo Foundation, Rochester, MN, USA aut NATIONALLICENCE 700 1- Boughey Judy Department of Surgery, Mayo Clinic and Mayo Foundation, Rochester, MN, USA aut NATIONALLICENCE 700 1- Reynolds Carol Department of Laboratory Medicine and Pathology, Mayo Clinic and Mayo Foundation, Rochester, MN, USA aut NATIONALLICENCE 700 1- Degnim Amy Department of Surgery, Mayo Clinic and Mayo Foundation, Rochester, MN, USA aut NATIONALLICENCE 773 0- Annals of Surgical Oncology Springer-Verlag 18/1(2011-01-01), 86-93 1068-9265 18:1<86 2011 18 10434 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer