Risk factors for pelvic and para-aortic lymph node metastasis in non-endometrioid endometrial cancer
European Journal of Surgical Oncology, ISSN: 0748-7983, Vol: 50, Issue: 4, Page: 108260
2024
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Article Description
The aim of this study was to evaluate the risk factors for pelvic lymph node metastasis (LNM) and para-aortic LNM in non-endometrioid endometrial cancer (non-EEC). A total of 283 patients with non-EEC hospitalized in the First Affiliated Hospital of Zhengzhou University from January 2012 to December 2020 were included. Various characteristics were retrospectively analyzed in relation to LNM. Univariable and multivariable logistic regression analysis revealed cervical stromal invasion (OR = 3.441, 95% CI = 1.558–7.6, p = 0.002), myometrial invasion ≥1/2 (OR = 2.661, 95% CI = 1.327–5.337, p < 0.006), lymphovascular space involvement (LVSI) (OR = 4.118, 95% CI = 1.919–8.837, p < 0.001), positive peritoneal cytology (OR = 2.962, 95% CI = 1.344–6.530, p = 0.007), CA125 (OR = 1.002, 95% CI = 1–1.004, p = 0.026) were the independent risk factors for pelvic LNM. And myometrial invasion ≥1/2 (OR = 5.881, 95% CI = 2.056–16.427, p = 0.001), LVSI (OR = 4.962, 95% CI = 1.933–12.740, p = 0.001), adnexal (OR = 5.921, 95% CI = 2.003–17.502, p = 0.001) were the independent risk factors for para-aortic LNM. With the increase of independent risk factors, the rates of LNM were increased significantly. Cervical stromal invasion, myometrial invasion ≥1/2, LVSI, positive peritoneal cytology, and CA125 were risk factors for pelvic LNM. Myometrial invasion ≥1/2, LVSI and involvement of the adnexa were risk factors for para-aortic LNM which could provide a good basis to help predict which non-EEC patients are at higher risk for LNM.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S0748798324003123; http://dx.doi.org/10.1016/j.ejso.2024.108260; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85187654956&origin=inward; http://www.ncbi.nlm.nih.gov/pubmed/38484492; https://linkinghub.elsevier.com/retrieve/pii/S0748798324003123; https://dx.doi.org/10.1016/j.ejso.2024.108260
Elsevier BV
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