Significance of tumor size and number of positive nodes in patients with FIGO 2018 stage IIIC1 cervical cancer

Author:

Maeda Michihide1,Mabuchi Seiji1,Sakata Mina1,Deguchi Satoki1,Kakubari Reisa1,Matsuzaki Shinya1,Hisa Tsuyoshi1,Kamiura Shoji1

Affiliation:

1. Department of Gynecology, Osaka International Cancer Institute , Osaka , Japan

Abstract

Abstract Objective This study aimed to investigate the prognostic significance of tumor size and number of positive pelvic lymph nodes (PLN) in International Federation of Gynecology and Obstetrics (FIGO) 2018 stage IIIC1 cervical cancer patients. Methods Clinical data from 626 women with cervical cancer treated at Osaka International Cancer Center in 2010–2020 were retrospectively reviewed. Using the cutoff value obtained on the receiver operating characteristic analysis, the prognostic significance of tumor size and number of positive PLN in stage IIIC1 patients was first evaluated via uni- and multivariate analyses. Then, the impact of incorporating tumor size and number of positive PLN into the FIGO staging system was investigated using the Kaplan–Meier method. Results Among 196 women with Stage IIIC1 disease, larger tumors (>4 cm) and multiple PLN metastases (≥4) were independent predictors of progression-free survival (PFS) in patients with stage IIIC1 cervical cancer. The PFS of patients with stage IIIC1 disease was inversely associated with the number of risk factors. Although patients with stage IIIC1 disease had significantly increased survival rates compared to those with stage IIIA or IIIB disease in the original FIGO 2018 staging system, this reversal phenomenon was resolved by incorporating larger tumors (>4 cm) and multiple PLN metastases (≥4) into the revised staging system. Conclusions Incorporating tumor size and number of metastatic lymph nodes into the FIGO staging system allows additional risk stratification for women with stage IIIC1 cervical cancer and improves survival prediction performance.

Publisher

Oxford University Press (OUP)

Subject

Cancer Research,Radiology, Nuclear Medicine and imaging,Oncology,General Medicine

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