CELL INTELLIGENCE · 肿瘤细胞治疗研究

In triple-negative and HER2-positive breast cancer, tumor-infiltrating lymphocytes (TILs) are established predictive and prognostic biomarkers, but their role in luminal subtypes remains unclear.

We investigated the prognostic significance of TILs using AI-based image analysis in 2298 luminal breast cancers from the DBCG99c cohort, classified by PAM50. Stromal (sTIL) and intraepithelial (iTIL) densities were quantified automatically using a commercial platform. Higher stromal TIL infiltration was associated with improved overall survival, particularly within the first 5 years (heterogeneity p = 0. 01). In multivariable models, higher sTILs independently predicted lower risk of distant or any recurrence (sHR = 0.

95, 95% CI 0. 91-0. 99) and improved survival (HR = 0. 91, 95% CI 0. 85-0. 97 early; HR = 0. 99, 95% CI 0. 97-1. 00 late). Intraepithelial TILs were not prognostic. No significant interactions were observed by molecular subtype, nodal status, or grade, although a nonsignificant trend toward stronger iTIL effects appeared in luminal B tumors. AI-based TIL quantification thus provides independent prognostic information in high-risk luminal breast cancer.