MedElevator Войти в исследования
← Поиск публикаций

DOI 10.1186/s13048-025-01653-y

Медицинская библиотека · Journal of ovarian research · 2025

Morphometric analysis of neoplastic cell clusters in high-grade serous ovarian cancer ascites identifies a promising prognostic factor: a retrospective study.

Thibault Benoît, D'Angelo Romina, Rigal Samy, White-Koning Mélanie, Bataillon Guillaume, Guillermet-Guibert Julie, Basset Céline

СтатьяПеревод в очереди

Аннотация

High-grade serous carcinoma of the ovary is the most frequent intraperitoneal malignancy in women. It is associated with a poor prognostic outcome owing to the late appearance of clinical signs leading to a delayed diagnosis, and with resistance to platinum-based chemotherapy. One of the clinical signs is the development of ascites. The detection of neoplastic cells in ascites fluid is important as it indicates tumor progression and is associated with shorter survival. Microscopic cytospin analysis of this fluid reveals the cytological and architectural features of the neoplastic cells, allowing the pathologist to identify rapidly the malignancy and the histologic type. In association with immunocytochemistry, this process ensures a definite diagnosis and provides a specific etiology. Our objective was to provide proof-of-principle that the automatized analysis of general cytomorphological criteria, such as carcinomatous cell clustering, in malignant ascites fluid is of prognostic value in high-grade serous carcinoma. We performed a retrospective analysis of the ascites fluid of 24 advanced-stage high-grade serous ovarian cancer patients naïve of treatment. We found that the low number of neoplastic cell clusters in fluid was significantly associated with shorter overall and progression-free survival after adjusting for WHO performance status, Sugarbaker score, age and BMI. These results were independent of the peritoneal implantation of neoplastic cells. We believe this is a promising strategy to improve high-grade serous carcinoma diagnostics using a more informative but simple analysis of ascites tumor cell morphology.

Для цитирования: Thibault Benoît, D'Angelo Romina, Rigal Samy, White-Koning Mélanie, Bataillon Guillaume, Guillermet-Guibert Julie, Basset Céline. Morphometric analysis of neoplastic cell clusters in high-grade serous ovarian cancer ascites identifies a promising prognostic factor: a retrospective study.. Journal of ovarian research. 2025. DOI: 10.1186/s13048-025-01653-y.

Предметные рубрики MeSH

Подготовка и перевод публикации
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…

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.