Identification of a low risk population for parametrial invasion in patients with early-stage cervical cancer

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Abstract

Background: Recent studies have challenged radical procedures for less extensive surgery in selected patients with early-stage cervical cancer at low risk of parametrial invasion. Our objective was to identify a subgroup of patients at low risk of parametrial invasion among women having undergone surgical treatment. Methods: Data of 1447 patients with cervical cancer treated between 1996 and 2016 were extracted from maintained databases of 10 French University hospitals. Patients with early-stage (IA2-IIA) disease treated by radical surgery including hysterectomy and trachelectomy, were selected for further analysis. The Kaplan-Meier method was used to estimate the survival distribution. A Cox proportional hazards model including all the parameters statistically significant in univariate analysis, was used to account for the influence of multiple variables. Results: Out of the 263 patients included for analysis, on final pathology analysis 28 (10.6%) had parametrial invasion and 235 (89.4%) did not. Factors significantly associated with parametrial invasion on multivariate analysis were: age > 65 years, tumor > 30 mm in diameter measured by MRI, lymphovascular space invasion (LVSI) on pathologic analysis. Among the 235 patients with negative pelvic lymph nodes, parametrial disease was seen in only 7.6% compared with 30.8% of those with positive pelvic nodes (p < 0.001). In a subgroup of patients presenting tumors < 30 mm, negative pelvic status and no LVSI, the risk of parametrial invasion fell to 0.6% (1/173 patients). Conclusion: Our analysis suggests that there is a subgroup of patients at very low risk of parametrial invasion, potentially eligible for less radical procedures.

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Dabi, Y., Willecocq, C., Ballester, M., Carcopino, X., Bendifallah, S., Ouldamer, L., … Touboul, C. (2018). Identification of a low risk population for parametrial invasion in patients with early-stage cervical cancer. Journal of Translational Medicine, 16(1). https://doi.org/10.1186/s12967-018-1531-6

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