Original Article


Treatment and clinical outcomes of cervical cancer during pregnancy

Jing Ma, Lan Yu, Fan Xu, Hongyan Yi, Wenfei Wei, Peng Wu, Sha Wu, Hua Li, Hong Ye, Wei Wang, Hui Xing, Liangsheng Fan

Abstract

Background: This study aims to investigate clinicopathological factors associated with survival rate and treatment of patients with cervical cancer during pregnancy (CCP).
Methods: A total of 92 patients diagnosed CCP were retrospectively reviewed. One patient was from Nanfang Hospital of Southern Medical University, 5 patients were from Tongji Hospital, and 86 patients were from case reports in the PubMed database from 1961 to 2019. Patients and tumor characteristics were evaluated. Kaplan-Meier and Cox regression methods were used to analyze the 5-year disease-specific survival (DSS).
Results: Most patients (73 cases) were stage I according to the 2018 International Federation of Gynecology and Obstetrics (FIGO) standards. Twelve patients (13.04%) terminated pregnancy once diagnosed. These patients were diagnosed at the mean gestational age (GA) of 11±3 weeks, during early pregnancy. For the rest of the patients (80 cases) who continued pregnancy, the mean GA was 35±2 weeks at delivery. There was a significant difference in survival whether the treatment was performed once diagnosed or not. The 5-year DSS was 75% in adenocarcinoma (AC), 68.5% in squamous cell carcinoma (SCC), and 43.7% in the rare subtype. Among the 38 patients who underwent neoadjuvant chemotherapy (NACT), one patient suffered from spontaneous abortion, and one baby experienced acute myeloid leukemia (AML) ex-FAB (French-American-British)-M7 subtype and received bone marrow transplantation. Other delivered newborns showed no abnormality or malformation. Cox multi-factorial analysis demonstrated that tumor size (2 cm) was an independent overall survival predictor for CCP patients (P<0.05).
Conclusions: Tumor size was an independent prognostic factor of survival in CCP patients. Pregnancy has adverse effects on the prognosis of cervical cancer. Personalized treatment is a priority for CCP patients.

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