Vollständiger Abstract
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Background Tertiary lymphoid structures (TLS) are spatially organized immune niches associated with therapeutic response and favorable outcomes in breast cancer (BC). However, TLS assessment currently relies on invasive tissue-based analyses, and the biological mechanisms underlying imaging-based TLS prediction remain poorly understood. Methods We developed and validated a spatial heterogeneity-based radiomic TLS signature (shTLS) using dynamic contrast-enhanced MRI to non-invasively predict TLS status across multicenter BC cohorts. Spatial habitat radiomics were used to capture intratumoral and peritumoral immune-related heterogeneity. Integrated multi-omics analyses, including transcriptomics, pathomics, genomics, single-cell RNA sequencing, immunohistochemistry, and multiplex immunofluorescence, were performed to biologically interpret shTLS-defined subgroups. Functional drug-sensitivity assays were conducted to assess therapeutic implications. Results The shTLS model achieved robust predictive performance across independent cohorts and molecular subtypes. High shTLS scores were associated with immune-inflamed tumors characterized by spatially clustered activated T cells and dendritic cells (DCs). In contrast, shTLS-low tumors exhibited an immunosuppressive spatial niche with peripheral accumulation of CD4 + PD-1 + T cells and plasma cells, increased immune-tumor separation, and enhanced inflammatory and immunoregulatory signaling. An indoleamine 2,3-dioxygenase 1 (IDO1)-associated immunoregulatory program was observed in the shTLS-low tumors, which appeared to be preferentially expressed by LAMP3 + CCR7 + migratory DCs. Pharmacologic inhibition of IDO1 enhanced chemotherapy and CDK4/6 inhibitor sensitivity in vitro. Conclusion This study establishes spatial radiomics as a non-invasive approach to decode TLS-associated immune ecosystems and supports the presence of an IDO1-associated immunosuppressive phenotype, providing biological insight and translational rationale for patient stratification and future combination strategies.
Bibliografischer Nachweis
Publikationsdaten
- Autor:innen
- Yushuai Yu, Qing Wang, Yidan Lin, Kaiyan Huang, Ruijuan Wang, Junxiao Wang, Xiewei Huang, Jie Zhang, Weiwei Chen, Ruiliang Chen, Xuejun Chen, Fan Meng, Hengyu Zhang, Junhui Yuan, Jianqing Lin, Chuangui Song
- Quelle
- Journal for ImmunoTherapy of Cancer
- Publikation
- 2026-01-01
- Band / Ausgabe
- Nicht angegeben
- Seiten
- Nicht angegeben
- ISSN / ISBN
- 2051-1426
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Zitierfähiger Nachweis
Yushuai Yu, Qing Wang, Yidan Lin, Kaiyan Huang, Ruijuan Wang, Junxiao Wang, Xiewei Huang, Jie Zhang, Weiwei Chen, Ruiliang Chen, Xuejun Chen, Fan Meng, Hengyu Zhang, Junhui Yuan, Jianqing Lin, Chuangui Song (2026). Spatial habitat radiomics predicts tertiary lymphoid structure status and identifies an IDO1 + migratory dendritic cell axis in breast cancer. Journal for ImmunoTherapy of Cancer. https://doi.org/10.1136/jitc-2026-015224
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