乳腺癌
肿瘤浸润淋巴细胞
医学
肿瘤科
阶段(地层学)
间质细胞
队列
比例危险模型
内科学
病理
癌症
基质
生物
免疫组织化学
免疫疗法
古生物学
作者
Shorouk Makhlouf,Noorul Wahab,Michael S. Toss,Asmaa Ibrahim,Ayat Lashen,N Atallah,Suzan F Ghannam,Mostafa Jahanifar,Wenqi Lu,Simon Graham,Nigel P. Mongan,Mohsin Bilal,Abhir Bhalerao,David Snead,Fayyaz Minhas,Shan E Ahmed Raza,Nasir Rajpoot,Emad A. Rakha
标识
DOI:10.1038/s41416-023-02451-3
摘要
Tumour infiltrating lymphocytes (TILs) are a prognostic parameter in triple-negative and human epidermal growth factor receptor 2 (HER2)-positive breast cancer (BC). However, their role in luminal (oestrogen receptor positive and HER2 negative (ER + /HER2-)) BC remains unclear. In this study, we used artificial intelligence (AI) to assess the prognostic significance of TILs in a large well-characterised cohort of luminal BC.
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