Real-world experience and prognostic factors in ovarian carcinosarcoma: a single-center retrospective study from China.
Аннотация
OBJECTIVE
Ovarian carcinosarcomas (OCS) is a rare type of ovarian cancer. Due to its low incidence, studies are limited to several case reports/case series and small-scale retrospective study. We carried out this study to explore prognostic factors and treatment strategies for OCS.
METHODS
Patients diagnosed with OCS between March 2012 and October 2023 at Jiangsu Cancer Center were enrolled in this study. Baseline Characteristics, treatment strategies and survival of all enrolled patients were recorded. Kaplan-Meier analysis with a log-rank Mantel-Cox test was used to compare progression-free survival (PFS) between different groups.
RESULTS
Twenty-six patients met inclusion criteria. The median PFS of all enrolled patients was 17.53 months. We firstly demonstrated that patients with ascites ≥500 ml (27.83 months vs. 13.7 months, p=0.12, HR 0.72), age ≥58 years (22.93 months vs. 13.53 months, p=0.354, HR 0.62), diameter of tumor<10cm (27.83 months vs. 12.80 months, p=0.095, HR 0.36), Ki-67 ≥70% (22.93 months vs. 13.53 months, p=0.093, HR 0.39) had a trend of better prognosis. Five patients underwent genetic testing, 4 of whom were homologous recombination deficiency (HRD)-positive and treated with PARP inhibitor (PARPi). The median PFS of the 4 patients was 22.68 months.
CONCLUSIONS
Our study demonstrated that age at diagnosis, diameter of tumor, Ki-67 index, and volume of ascites may be prognostic factors of OCS. Patients with HRD positive/BReast CAncer gene (BRCA) mutation may benefit from PARPi.
Подготовка и перевод публикации
Обработка статьи · этапы, ошибки и управление
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Тип публикации указан по данным источника. Уровень доказательности автоматически не присваивается.