Clinical features and demographic characteristics of gestational trophoblastic neoplasia: Single center experience and the SEER database

Authors

  • Yue-min Hou Department of Gynecology and Obstetrics, The First Affiliated Hospital of Xi 'an Jiaotong University, Xi’an, Shaanxi, China
  • Pei-pei Li Department of Gynecology and Obstetrics, The First Affiliated Hospital of Xi 'an Jiaotong University, Xi’an, Shaanxi, China
  • Hui Yu Department of Gynecology and Obstetrics, The First Affiliated Hospital of Xi 'an Jiaotong University, Xi’an, Shaanxi, China
  • Fang Feng Department of Gynecology and Obstetrics, The First Affiliated Hospital of Xi 'an Jiaotong University, Xi’an, Shaanxi, China
  • Xin-yi He Department of Gynecology and Obstetrics, The First Affiliated Hospital of Xi 'an Jiaotong University, Xi’an, Shaanxi, China
  • Bi-han Chen Department of Gynecology and Obstetrics, The First Affiliated Hospital of Xi 'an Jiaotong University, Xi’an, Shaanxi, China
  • Jia-ling Li Department of Gynecology and Obstetrics, The First Affiliated Hospital of Xi 'an Jiaotong University, Xi’an, Shaanxi, China
  • Hao-yan Yao Department of Gynecology and Obstetrics, The First Affiliated Hospital of Xi 'an Jiaotong University, Xi’an, Shaanxi, China
  • Rui-fang An Department of Gynecology and Obstetrics, The First Affiliated Hospital of Xi 'an Jiaotong University, Xi’an, Shaanxi, China https://orcid.org/0000-0001-6501-1016

DOI:

https://doi.org/10.17305/bb.2023.9092

Keywords:

Gestational trophoblastic neoplasia, clinical features, demographic characteristics, prognosis, SEER, survival analysis

Abstract

The aim of this study was to analyze the clinical features and demographic characteristics of gestational trophoblastic neoplasia (GTN) patients, specifically choriocarcinoma (CC), placental site trophoblastic tumour (PSTT), and epithelioid trophoblastic tumor (ETT). We utilized data from a local hospital and the SEER database, as well as survival outcomes of CC in SEER database. Additionally, we used multiple risk factors to create a prognostic nomogram model for CC patients. The study included GTN patients from the SEER database between 1975 and 2016 as well as those from the First Affiliated Hospital of Xi 'an Jiaotong University between January 2005 and May 2022. Related factors of patients were compared using the chi-square (χ2) or Fisher's exact test. For assessing overall survival we employed the Kaplan-Meier method and log-rank test. To construct the nomogram, we used Cox regression. Statistically significant differences were found between CC and PSTT/ETT patients in terms of surgery in local hospital, as well as age and year of diagnosis in the SEER database. Moreover, significant differences were observed between low and high (HR) /ultra-high risk (UHR) groups regarding FIGO stage, surgery and chief complaint at the local hospital, and FIGO stage, surgery and unemployment in the SEER database. The Cox regression analysis confirmed that age, race, surgery, marital status, FIGO stage, and unemployment were correlated with CC prognosis. Furthermore, the analysis showed that patients aged 40 years or older and those with FIGO Ⅲ/Ⅳ were independent prognostic factors of CC. The study indicates that atypical symptoms or signs may be the main reasons for HR /UHR patients to seek medical treatment. Therefore, providing multidisciplinary care is recommended for CC patients experiencing psychological distress due to unfavorable marital status or unemployment.

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Clinical features and demographic characteristics of gestational trophoblastic neoplasia: Single center experience and the SEER database

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Published

03-01-2024

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Translational and Clinical Research

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How to Cite

1.
Clinical features and demographic characteristics of gestational trophoblastic neoplasia: Single center experience and the SEER database. Biomol Biomed [Internet]. 2024 Jan. 3 [cited 2024 Jul. 20];24(1):176–187. Available from: https://www.bjbms.org/ojs/index.php/bjbms/article/view/9092