Cancer cell · 2025
Distinct follicular T cell subsets regulate lymphoma progression and outcomes.
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.
Abe Yoshiaki, Zenkoh Junko, Kanai Akinori, Ikeda Daisuke, Kaji Daisuke, Sawa Aya, Matsuoka Ryota, Asayama Kei, Tabata Rikako, Ishii Ryota, Fujisawa Manabu, Makishima Kenichi, Suma Sakurako, Suehara Yasuhito, Hattori Keiichiro, Sakamoto Tatsuhiro, Nishikii Hidekazu, Yoshida Chikashi, Bando Hiroko, Suzuki Ayako, Ota Yasunori, Otsuka Yoshihito, Matsubara Daisuke, Matsue Kosei, Chiba Shigeru, Steidl Christian, Suzuki Yutaka, Sakata-Yanagimoto Mamiko
Аннотация
Follicular lymphoma (FL) is characterized by the expansion of neoplastic follicle structures and is suggested to have a distinctive form of T cell immunity. However, the heterogeneity and role of follicular T cells beyond T follicular helper (TFH) cells remain largely unexplored in FL. Here, we performed multi-omics analyses of follicular T cells in FL leveraging pan-cancer single-cell mapping, spatially resolved single-cell transcriptomics and multiplex protein profiling, and functional characterization. We identified transcriptionally and spatially distinct non-TFH follicular T cell subsets that expand in FL. These subsets exhibit enhanced anti-tumorigenic properties and form unique spatial niches. Their phenotypes were replicated under interleukin-21-predominant conditions, revealing discrete self-regulatory cellular ecosystems that generate these subsets and may underlie FL clinical behaviors. Furthermore, these subsets robustly stratify FL prognoses, independently of existing prognostic markers. Our findings highlight previously unrecognized immunity that could advance our understanding of lymphoma and improve patient management.