ArticleJournal of experimental & clinical cancer research : CR2025
ECM-Induced IL-23 Drives Immune Suppression in Breast Cancer via Regulating PD-1 on Tregs.
Article in Journal of experimental & clinical cancer research : CR, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed.
- Ivonescimab combined with chemotherapy for the treatment of metastatic cervical cancer: A case report and literature review.Human vaccines & immunotherapeutics · 2026Review
- IL-23 as a potential mediator of immune evasion and therapeutic target in laryngeal squamous cell carcinoma.BMC cancer · 2026Article
- The heterogeneous and dynamic immune-tumor interface in breast cancer.Frontiers in oncology · 2026Review
- Mechanical properties of the tumor microenvironment: drivers of immunotherapy resistance in solid tumors.Frontiers in immunology · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
18 authors.
Funding
Abstract
backgroundHigh-grade breast cancer (HGBC) is an aggressive disease with poor prognosis, underscoring the need for new treatment strategies. The tumor microenvironment (TME), particularly the extracellular matrix (ECM), plays a pivotal role in tumor progression, therapy resistance, and immune regulation. An ECM-related gene signature (defined ECM3), found in approximately 35% of HGBC cases, is associated with aggressive tumors, epithelial-to-mesenchymal transition (EMT), poor clinical outcome and increased infiltration of immunosuppressive myeloid-derived suppressor cells (MDSCs).
methodsIn this study, we investigated the impact of the ECM on T cell regulation in HGBC patients, focusing on the relationship between ECM3 + tumors and T cell phenotypes. We employed mouse models to dissect the molecular mechanisms linking ECM components to T cell regulation, with particular attention to the role of the matricellular protein SPARC, a key component of the ECM3 signature.
resultsWe revealed a significant correlation between highly suppressive programmed cell death-1 (PD-1) negative regulatory T cells (Tregs) and ECM3 + tumors. In mouse models, SPARC was found to down-regulate PD-1 on Tregs by promoting IL-23 release, which in turn induced SATB1 expression, a repressor of the pdcd1 gene. The selective expression of the IL-23 receptor on Tregs accounted for the targeted effect of IL-23 on these cells. Notably, blocking IL-23 with monoclonal antibodies restored PD-1 expression on Tregs and activated T effector cells.
conclusionThese findings extend the immune-regulatory role of the ECM to include regulatory T cells and identify potential new therapeutic targets for high-grade breast cancers. Moreover, they highlight ECM3 as a potential biomarker of resistance to PD-1/PD-L1 immune checkpoint blockade (ICB), suggesting that ECM3⁺ patients may benefit from alternative checkpoint inhibitor therapies beyond PD-1/PD-L1.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.