Cell reports. Medicine · 2026
Spatial tumor evolution panorama of ovarian cancer.
СтатьяНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
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.
Feng Chenzhao, Yang Yunyi, Li Guanchu, Fang Zixuan, Yang Bin, Zhao Fang, Chen Xingyu, Liu Shuyi, Wu Di, Hu Xingyuan, Yin Jingjing, Zhang Siyang, Fan Junpeng, Peng Wenju, Hu Zhe, Wu Zimeng, Fu Yu, Lu Funian, Qin Tianyu, Wang Beibei, Mills Gordon B, Zhou Xin, Li Jing, Zhu Tao, Fei Peng, Wang Peng, Ma Ding, Li Fuxia, Chen Gang, Sun Chaoyang
Аннотация
Ovarian cancer is an aggressive disease characterized by intraperitoneal dissemination and a distinctive microenvironment. By generating metastatic cohorts encompassing approximately 60 pairs of whole-genome and RNA sequencing, 100 single-cell samples, and 2.5 million spatial transcriptomics (ST) spots, we delineate site-specific tumor-host colocalization patterns. Utilizing our STARLETS framework, we elucidate a Darwinian evolutionary trajectory in which hypoxia and immune pressures select for clones that eventually metastasize. High-resolution ST and ultimate dimensional imaging of solvent-cleared organs (uDISCO) imaging further identify a tripartite ensemble comprising MMP11+ myCAFs, epithelial cells, and SPP1+ macrophages in ascites and metastases, which can be modulated via SPP1-CD44 inhibition. SPP1+ macrophages predict therapeutic responses in clinical trials, including oncolytic virus and poly(ADP-ribose) polymerase inhibitor treatments. Collectively, our study advances insights into spatial dynamics that hold promise for therapeutic approaches in ovarian cancer.