Single-cell ligand–receptor profiling reveals an immunotherapy-responsive subtype and prognostic signature in triple-negative breast cancer

BackgroundTriple-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 prognos...

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Main Authors: Chuanzhi Chen, Jiahui Qi, Weichao Lin, Chunlan Fu, Xin Jin
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-06-01
Series:Frontiers in Immunology
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Online Access:https://www.frontiersin.org/articles/10.3389/fimmu.2025.1590951/full
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author Chuanzhi Chen
Jiahui Qi
Weichao Lin
Chunlan Fu
Xin Jin
author_facet Chuanzhi Chen
Jiahui Qi
Weichao Lin
Chunlan Fu
Xin Jin
author_sort Chuanzhi Chen
collection DOAJ
description BackgroundTriple-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.MethodsWe 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 using both the METABRIC and GSE58812 datasets (n = 107). Additionally, we performed siRNA-mediated knockdown of the CXCL9/CXCR3 axis in MDA-MB-231 cells, confirming the knockdown via RT-qPCR and Western blot. The functional impact was assessed through proliferation, colony formation, and wound healing assays.ResultsOne subtype (Clust1) demonstrated strong immune cell infiltration, higher immune scores, and enrichment in pathways such as epithelial–mesenchymal transition, angiogenesis, and KRAS signaling—indicative of a basal-like, immune-active phenotype. Among the LR pairs, the CXCL9–CXCR3 axis was identified as a key factor in immune cell recruitment and anti-tumor responses. Functionally, silencing the CXCL9/CXCR3 axis significantly diminished the proliferation, colony formation, and migratory capabilities of MDA-MB-231 cells. Moreover, a higher LR.score was correlated with poorer overall survival (HR = 1.69, 95% CI = 1.12–2.56, P < 0.05) and reduced response to immune checkpoint inhibitors (ICIs), while patients with lower LR.score showed increased sensitivity to ICIs, particularly in anti–PD-L1 cohorts.ConclusionThe LR.score serves as an independent prognostic factor and a reliable predictor of immunotherapy response in TNBC. Targeting crucial LR interactions, especially the CXCL9–CXCR3 axis, may enhance immunotherapeutic efficacy and refine prognostic evaluations, paving the way for improved treatment strategies in TNBC.
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spelling doaj-art-a897fecdf6d6432dbbbda89c7c0c62fe2025-08-20T03:44:57ZengFrontiers Media S.A.Frontiers in Immunology1664-32242025-06-011610.3389/fimmu.2025.15909511590951Single-cell ligand–receptor profiling reveals an immunotherapy-responsive subtype and prognostic signature in triple-negative breast cancerChuanzhi Chen0Jiahui Qi1Weichao Lin2Chunlan Fu3Xin Jin4Department of Thyroid Surgery, National Key Clinical Specialty (General Surgery), The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, ChinaInstitute of Aging, Key Laboratory of Alzheimer’s Disease of Zhejiang Province, Wenzhou Medical University, Wenzhou, Zhejiang, ChinaDepartment of Thyroid Surgery, National Key Clinical Specialty (General Surgery), The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, ChinaDepartment of Hematology and Breast Surgery, Zhuji Affiliated Hospital of Wenzhou Medical University, Zhuji, Zhejiang, ChinaDepartment of Hematology and Breast Surgery, Zhuji Affiliated Hospital of Wenzhou Medical University, Zhuji, Zhejiang, ChinaBackgroundTriple-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.MethodsWe 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 using both the METABRIC and GSE58812 datasets (n = 107). Additionally, we performed siRNA-mediated knockdown of the CXCL9/CXCR3 axis in MDA-MB-231 cells, confirming the knockdown via RT-qPCR and Western blot. The functional impact was assessed through proliferation, colony formation, and wound healing assays.ResultsOne subtype (Clust1) demonstrated strong immune cell infiltration, higher immune scores, and enrichment in pathways such as epithelial–mesenchymal transition, angiogenesis, and KRAS signaling—indicative of a basal-like, immune-active phenotype. Among the LR pairs, the CXCL9–CXCR3 axis was identified as a key factor in immune cell recruitment and anti-tumor responses. Functionally, silencing the CXCL9/CXCR3 axis significantly diminished the proliferation, colony formation, and migratory capabilities of MDA-MB-231 cells. Moreover, a higher LR.score was correlated with poorer overall survival (HR = 1.69, 95% CI = 1.12–2.56, P < 0.05) and reduced response to immune checkpoint inhibitors (ICIs), while patients with lower LR.score showed increased sensitivity to ICIs, particularly in anti–PD-L1 cohorts.ConclusionThe LR.score serves as an independent prognostic factor and a reliable predictor of immunotherapy response in TNBC. Targeting crucial LR interactions, especially the CXCL9–CXCR3 axis, may enhance immunotherapeutic efficacy and refine prognostic evaluations, paving the way for improved treatment strategies in TNBC.https://www.frontiersin.org/articles/10.3389/fimmu.2025.1590951/fulltumor microenvironmentligand-receptor interactionstriple-negative breast cancerprognostic modelimmunotherapyimmune checkpoints
spellingShingle Chuanzhi Chen
Jiahui Qi
Weichao Lin
Chunlan Fu
Xin Jin
Single-cell ligand–receptor profiling reveals an immunotherapy-responsive subtype and prognostic signature in triple-negative breast cancer
Frontiers in Immunology
tumor microenvironment
ligand-receptor interactions
triple-negative breast cancer
prognostic model
immunotherapy
immune checkpoints
title Single-cell ligand–receptor profiling reveals an immunotherapy-responsive subtype and prognostic signature in triple-negative breast cancer
title_full Single-cell ligand–receptor profiling reveals an immunotherapy-responsive subtype and prognostic signature in triple-negative breast cancer
title_fullStr Single-cell ligand–receptor profiling reveals an immunotherapy-responsive subtype and prognostic signature in triple-negative breast cancer
title_full_unstemmed Single-cell ligand–receptor profiling reveals an immunotherapy-responsive subtype and prognostic signature in triple-negative breast cancer
title_short Single-cell ligand–receptor profiling reveals an immunotherapy-responsive subtype and prognostic signature in triple-negative breast cancer
title_sort single cell ligand receptor profiling reveals an immunotherapy responsive subtype and prognostic signature in triple negative breast cancer
topic tumor microenvironment
ligand-receptor interactions
triple-negative breast cancer
prognostic model
immunotherapy
immune checkpoints
url https://www.frontiersin.org/articles/10.3389/fimmu.2025.1590951/full
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