Single-cell ligand–receptor profiling reveals an immunotherapy-responsive subtype and prognostic signature in triple-negative breast cancer
Chuanzhi Chen, Jiahui Qi, Weichao Lin, Chunlan Fu, Xin Jin

TL;DR
This study identifies a new subtype of triple-negative breast cancer linked to immune activity and shows how targeting specific cell communication signals could improve treatment outcomes.
Contribution
The study introduces an LR.score, a novel prognostic and immunotherapy response predictor based on ligand–receptor interactions in TNBC.
Findings
Two TNBC subtypes were identified, with one showing immune activation and poor prognosis.
The CXCL9–CXCR3 axis is critical for immune cell recruitment and tumor progression.
LR.score correlates with survival and immunotherapy response, especially in PD-L1 cohorts.
Abstract
Triple-negative breast cancer (TNBC) is an aggressive form of cancer that lacks specific targeted therapies. Although ligand–receptor (LR) interactions play a crucial role in intercellular communication and contribute to tumor heterogeneity, their molecular details and potential as prognostic or predictive markers in TNBC have not been thoroughly investigated. We analyzed single-cell RNA sequencing data to categorize TNBC into 12 subgroups and 10 distinct cell types. From this dataset, we identified LR pairs that exhibited significant intercellular crosstalk and evaluated their prognostic relevance in a METABRIC TNBC cohort (n = 298). Through consensus clustering of these LR pairs, two molecular subtypes were defined. Key LR genes were then selected using Lasso regression and stepwise multivariate analysis to build an LR-based prognostic scoring system (LR.score), which was validated…
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Taxonomy
TopicsCancer Immunotherapy and Biomarkers · Immunotherapy and Immune Responses · CAR-T cell therapy research
