A Retrospective Review of 10 Cases of Villoglandular Papillary Adenocarcinoma of the Uterine Cervix Including One with Successful Pregnancy

Autor: Yin-Yan He, Chun-Yan Wei, Yu-Qing Qu, Xiao-Yong Zhu, Qing Wang, Jun Shao
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Zdroj: Reproductive and Developmental Medicine, Vol 2, Iss 2, Pp 120-127 (2018)
ISSN: 2096-2924
Popis: Objective: Villoglandular papillary adenocarcinoma (VGPA) of the uterine cervix is a subtype of cervical adenocarcinoma. In the present study, we summarized the clinical features of VGPA of the uterine cervix and discussed the potential indications for a conservative treatment. Methods: A retrospective review of clinical characteristics and treatment aspects of 10 patients with VGPA at the Obstetrics and Gynecology Hospital of Fudan University was conducted between January 2007 and December 2016. Almost all of the existing 40 English papers on “villoglandular papillary adenocarcinoma [title/abstract]” identified from PubMed were obtained. Clinical data from these papers were analyzed in terms of age, International Federation of Gynecology and Obstetrics (FIGO) stage, recurrence rate, mortality, and conservation treatment aspects. Results: The median age of 10 patients with VGPA was 40 years. All cases had Stage IB 1 disease. Seven patients underwent human papillomavirus examinations, which revealed 6 positive and 1 negative case(s) of infection. Six patients underwent ThinPrep cytologic tests, which revealed 4 patients with atypical glandular cells, 1 with a high-grade squamous intraepithelial lesion, and 1 who tested negative for intraepithelial malignancy. None of the patients had lymph node metastases. During the 6–114 months of follow-up, no disease recurrence or death occurred. Of note, one patient who received conservative treatment successfully became pregnant. Conclusions: VGPA can be detected at an early FIGO stage with excellent prognosis. For young patients who do not exhibit poor prognosis factors, conservative treatment may be the first treatment choice based on overall assessment of clinical conditions.
Databáze: OpenAIRE