Objective: To enable a comparison of reported chemotherapy regimens in gestational trophoblastic neoplasia (GTN) patients with a International Federation of Gynecology and Obstetrics (FIGO) score ≥12.
Study Design: Studies reporting cases of GTN with a FIGO score ≥12 were collected and screened for eligibility. A total of 17 studies encompassing 256 patients were included in final analysis.
Results: In the first-line setting, etoposide-methotrexate-dactinomycin alternating with cyclophosphamide-vincristine (EMA/CO), etoposide-platinum alternating with EMA (EP/EMA), and floxuridine-dactinomycin-etoposide-vincristine (FAEV) were the three most commonly used regimens. The complete response (CR) rate was 55.2% for EMA/CO, 60.0% for EP/EMA, and 63.1% for FAEV. There was no significant difference in CR rate among EMA/CO, EP/EMA and FAEV in the first-line setting. While limited by low number, the CR rate was 66.67% for methotrexate-bleomycin -etoposide (MBE), and 25% for vincristine-dactinomycin-cyclophosphamide (VAC). Of the patients who failed initial therapy, EMA/CO, EP/EMA, and paclitaxel- cisplatin alternating with paclitaxel-etoposide (TP/TE) were the three most commonly used salvage regimens. The CR rate was 39.7% for EMA/CO, 35.0% for EP/EMA, and 11.8% for TP/TE. While limited by low number, MBE was used in 5 patients and yielded a 80% CR rate. Of the fatal cases, 21 (61.8%) patients had brain metastases, and 41.2% (14/34) of the deaths were early deaths.
Conclusion: EMA/CO, EP/EMA, and FAEV yielded comparable CR rates in GTN patients with a FIGO score ≥12 in the first-line setting.
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http://dx.doi.org/10.1016/j.ejogrb.2019.05.023 | DOI Listing |
Background: High-grade serous ovarian cancer (HGSOC) remains one of the most challenging gynecological malignancies, with over 70% of ovarian cancer patients ultimately experiencing disease progression. The current prognostic tools for progression-free survival (PFS) in HGSOC patients have limitations. This study aims to develop an explainable machine learning (ML) model for predicting PFS in HGSOC patients.
View Article and Find Full Text PDFZhonghua Fu Chan Ke Za Zhi
January 2025
Department of Gynecology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing100021, China.
To analyze the clinical characteristics, treatments, and prognosis of patients with ovarian juvenile granulosa cell tumor (JGCT). Clinical and pathological data, and follow-up information of 34 patients diagnosed with JGCT from 2000 to 2021 were collected from the surveillance, epidemiology, and end results (SEER) database. A retrospective analysis was conducted to summarize the patients' clinical and pathological characteristics, treatments, and prognosis.
View Article and Find Full Text PDFBMC Cancer
January 2025
Mohn Medical Imaging and Visualization Centre (MMIV), Department of Radiology, Haukeland University Hospital, Jonas Lies vei 65, Bergen, 5021, Norway.
Background: Effective diagnostic tools for prompt identification of high-risk locally advanced cervical cancer (LACC) patients are needed to facilitate early, individualized treatment. The aim of this work was to assess temporal changes in tumor radiomics (delta radiomics) from T2-weighted imaging (T2WI) during concurrent chemoradiotherapy (CCRT) in LACC patients, and their association with progression-free survival (PFS). Furthermore, to develop, validate, and compare delta- and pretreatment radiomic signatures for prognostic modeling.
View Article and Find Full Text PDFAcad Radiol
January 2025
Department of Chinese Integrative Medicine Oncology, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, China (R.S., Y.Z., X.L., X.L., H.Z., X.H., P.L.); Department of Integrated Traditional Chinese and Western Medicine, Anhui Medical University, Hefei 230022, China (P.L.). Electronic address:
Rationale And Objectives: To create a radiomics model based on computed tomography (CT) to predict overall survival in ovarian cancer patients. To combine Rad-score with genomic data to explore the association between gene expression and Rad-score.
Materials And Methods: Imaging and clinical data from 455 patients with ovarian cancer were retrospectively analyzed.
Gynecol Oncol
January 2025
Department of Gynecologic Oncology, Chongqing University Cancer Hospital & Chongqing Cancer Institute & Chongqing Cancer Hospital, Chongqing, China; Chongqing Specialized Medical Research Center of Ovarian Cancer, Chongqing, China; Organoid Transformational Research Center, Chongqing Key Laboratory for the Mechanism and Intervention of Cancer Metastasis, Chongqing University Cancer Hospital, Chongqing, China. Electronic address:
Background: Early detection is crucial for improving survival of patients with ovarian cancer (OC), yet current diagnostic tools lack adequate sensitivity and specificity, especially for early stage disease. The study aimed to validate the serum small extracellular vesicles (sEV) protein based Ovarian Cancer Score (OCS) in detecting OC.
Methods: This multicenter study included 1183 adult females with adnexal masses from four hospitals in China (October 2019-April 2023).
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