Predicting Nonsentinel Lymph Node Metastasis in Breast Cancer: A Multicenter Retrospective Study.


Journal

The Journal of surgical research
ISSN: 1095-8673
Titre abrégé: J Surg Res
Pays: United States
ID NLM: 0376340

Informations de publication

Date de publication:
08 2021
Historique:
received: 15 11 2020
revised: 14 01 2021
accepted: 27 01 2021
pubmed: 23 3 2021
medline: 24 9 2021
entrez: 22 3 2021
Statut: ppublish

Résumé

Sentinel lymph node (SLN) biopsy has been the standard modality for breast cancer patients with clinically node negative disease. In patients who undergo axillary lymph node dissection (ALND) due to SLN metastasis, the harvested nodes (non-SLNs) often contain no metastasis. Here, we evaluated the predictive factors associated with non-SLN metastasis in breast cancer patients. This was a retrospective study of patients with operable cT1-3, cN0 invasive breast cancer who underwent SLN biopsy followed by ALND due to SLN metastasis. The clinicopathologic factors and predictive factors of non-SLN metastasis were analyzed. The optimal cutoff for the Ki67 index and the number of positive and negative SLNs that were predictive of non-SLN metastasis were evaluated using receiver operating characteristic curves. The median number of SLN and non-SLN was 3 and 11, respectively. Of the 150 patients, 52 (35.0%) had metastases in non-SLNs. The optimal cutoffs for the Ki67 index and the number of positive and negative SLNs were of 12%, 2, and 1, respectively. In the univariate analysis, the Ki67 index and the number of positive SLNs≥2 and negative SLNs≤1 were higher in the non-SLN + group than that in the non-SLN - group. The number of negative SLNs was as a predictive factor for non-SLNs metastasis in the multivariate analysis. The number of negative SLNs predicts the risk of non-SLN metastasis in breast cancer. When deciding on whether to omit ALND, the number of positive and negative SLNs should be considered.

Sections du résumé

BACKGROUND
Sentinel lymph node (SLN) biopsy has been the standard modality for breast cancer patients with clinically node negative disease. In patients who undergo axillary lymph node dissection (ALND) due to SLN metastasis, the harvested nodes (non-SLNs) often contain no metastasis. Here, we evaluated the predictive factors associated with non-SLN metastasis in breast cancer patients.
MATERIALS AND METHODS
This was a retrospective study of patients with operable cT1-3, cN0 invasive breast cancer who underwent SLN biopsy followed by ALND due to SLN metastasis. The clinicopathologic factors and predictive factors of non-SLN metastasis were analyzed. The optimal cutoff for the Ki67 index and the number of positive and negative SLNs that were predictive of non-SLN metastasis were evaluated using receiver operating characteristic curves.
RESULTS
The median number of SLN and non-SLN was 3 and 11, respectively. Of the 150 patients, 52 (35.0%) had metastases in non-SLNs. The optimal cutoffs for the Ki67 index and the number of positive and negative SLNs were of 12%, 2, and 1, respectively. In the univariate analysis, the Ki67 index and the number of positive SLNs≥2 and negative SLNs≤1 were higher in the non-SLN + group than that in the non-SLN - group. The number of negative SLNs was as a predictive factor for non-SLNs metastasis in the multivariate analysis.
CONCLUSIONS
The number of negative SLNs predicts the risk of non-SLN metastasis in breast cancer. When deciding on whether to omit ALND, the number of positive and negative SLNs should be considered.

Identifiants

pubmed: 33752166
pii: S0022-4804(21)00084-6
doi: 10.1016/j.jss.2021.01.047
pii:
doi:

Types de publication

Journal Article Multicenter Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

45-50

Informations de copyright

Copyright © 2021 Elsevier Inc. All rights reserved.

Auteurs

Yuna Mikami (Y)

Department of Gastroenterological Surgery, Yokohama City University Graduate School of Medicine, Yokohama, Kanagawa, Japan.

Akimitsu Yamada (A)

Department of Gastroenterological Surgery, Yokohama City University Graduate School of Medicine, Yokohama, Kanagawa, Japan. Electronic address: ayamada@yokohama-cu.ac.jp.

Chiho Suzuki (C)

Department of Gastroenterological Surgery, Yokohama City University Graduate School of Medicine, Yokohama, Kanagawa, Japan.

Shoko Adachi (S)

Department of Breast and Thyroid Surgery, Medical Center, Yokohama City University, Yokohama, Kanagawa, Japan.

Fumi Harada (F)

Department of Breast Surgery, Yokohama Rosai Hospital, Yokohama, Kanagawa, Japan.

Shinya Yamamoto (S)

Department of Breast and Thyroid Surgery, Medical Center, Yokohama City University, Yokohama, Kanagawa, Japan.

Kazuhiro Shimada (K)

Department of Breast Surgery, Saiseikai Yokohama-shi Nanbu Hospital, Yokohama, Kanagawa, Japan.

Sadatoshi Sugae (S)

Department of Gastroenterological Surgery, Yokohama City University Graduate School of Medicine, Yokohama, Kanagawa, Japan.

Kazutaka Narui (K)

Department of Breast and Thyroid Surgery, Medical Center, Yokohama City University, Yokohama, Kanagawa, Japan.

Takashi Chishima (T)

Department of Breast Surgery, Yokohama Rosai Hospital, Yokohama, Kanagawa, Japan.

Takashi Ishikawa (T)

Department of Breast Surgery and Oncology, Tokyo Medical University, Shinjuku-ward, Tokyo, Japan.

Yasushi Ichikawa (Y)

Department of Oncology, School of Medicine, Yokohama City University, Yokohama, Kanagawa, Japan.

Itaru Endo (I)

Department of Gastroenterological Surgery, Yokohama City University Graduate School of Medicine, Yokohama, Kanagawa, Japan.

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