Size of Sentinel Node Metastasis Predicts Non-sentinel Node Involvement in Endometrial Cancer

  • Glauco BaiocchiEmail author
  • Henrique Mantoan
  • Bruna Tirapelli Gonçalves
  • Carlos Chaves Faloppa
  • Lillian Yuri Kumagai
  • Levon Badiglian-Filho
  • Alexandre Andre Balieiro Anastacio da Costa
  • Louise De Brot
Gynecologic Oncology



To analyze the relationship between the size of metastatic sentinel lymph nodes (SLNs) and the risk of non-sentinel lymph node (non-SLN) metastasis in endometrial cancer.

Patients and Methods

From a total of 328 patients with endometrial cancer who underwent SLN mapping from January 2013 to April 2019, 142 patients also underwent systematic completion pelvic ± paraaortic node dissections, and they form the basis of this study. The SLNs were examined by immunohistochemistry (IHC) when the hematoxylin–eosin stain was negative.


The median age was 60 years. The overall detection rate for SLNs was 87.5%, and bilateral SLNs were observed in 66.2%, with a median of 2 SLNs resected (range 1–8). Twenty-nine (20.4%) cases had positive SLNs, with a median of one positive SLN. Regarding the size of SLN metastasis, 5 (3.5%) cases had isolated tumor cells (ITCs), 13 (9.2%) had micrometastases, and 11 (7.7%) had macrometastases. Notably, 14/29 (48.3%) had node metastases that were detected after IHC. Eight (27.6%) patients had positive non-SLNs, with a median count of 7 positive nodes (range 2–23). Regarding the size of SLN metastasis, non-SLN involvement was not present in cases with ITC (0/5) but was present in 15.4% (2/13) of cases with micrometastases and 54.5% (6/11) of cases with macrometastases. The only risk factor for positive non-SLNs was the size of SLN metastasis.


Our data suggest that size of SLN metastasis is associated with the risk of non-SLN metastasis. No patients with ITCs in SLNs had another metastatic lymph node in this study.


Author contributions

Study concept and design: GB, HM, LBF; data acquisition: CCF, GB, HM, BTG; quality control of data: GB, LYK, LDB, BTG; data analysis and interpretation: GB, LDB, LBF; statistical analysis: GB; manuscript preparation and editing: GB, HM, LYK, AABAC; manuscript review: all authors.


The authors declare no conflicts of interest.


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Copyright information

© Society of Surgical Oncology 2019

Authors and Affiliations

  • Glauco Baiocchi
    • 1
    Email author
  • Henrique Mantoan
    • 1
  • Bruna Tirapelli Gonçalves
    • 1
  • Carlos Chaves Faloppa
    • 1
  • Lillian Yuri Kumagai
    • 1
  • Levon Badiglian-Filho
    • 1
  • Alexandre Andre Balieiro Anastacio da Costa
    • 2
  • Louise De Brot
    • 3
  1. 1.Department of Gynecologic OncologyAC Camargo Cancer CenterSão PauloBrazil
  2. 2.Department of Medical OncologyAC Camargo Cancer CenterSão PauloBrazil
  3. 3.Department of Anatomic PathologyAC Camargo Cancer CenterSão PauloBrazil

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