ArticleCellular oncology (Dordrecht, Netherlands)2025
S100A9 promotes resistance to anti-PD-1 immunotherapy in hepatocellular carcinoma by degrading PARP1 and activating the STAT3/PD-L1 pathway.
Article in Cellular oncology (Dordrecht, Netherlands), 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.
- Current status and challenges of immune checkpoint inhibitors in liver cancer: from monotherapy to combination strategies.Medical oncology (Northwood, London, England) · 2026Review
- Serum S100A8/S100A9 is associated with increased risk of brain metastasis in patients with inflammatory breast cancer.medRxiv : the preprint server for health sciences · 2026Article
- Myeloid-derived suppressor cells and regulatory T cells in colorectal cancer: a synergistic immunosuppressive axis and emerging therapeutic opportunities.Frontiers in immunology · 2026Review
- Neutrophil-macrophage crosstalk via NETs-IL-17/VEGF/S100A9 axis promotes hepatocellular carcinoma progression.Journal of experimental & clinical cancer research : CR · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
16 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundImmune checkpoint inhibitors (ICIs), such as anti-programmed cell death protein-1 (PD-1) immunotherapy, have emerged as promising treatments for advanced hepatocellular carcinoma (HCC), significantly improving clinical outcomes. However, resistance to ICIs remains a major challenge, and the underlying mechanisms of this resistance are not yet fully understood. This study aimed to investigate the role of S100 calcium-binding protein A9 (S100A9) in mediating resistance to anti-PD-1 therapy. APPROACH AND
resultsWe conducted RNA sequencing (RNA-seq) on tumor samples from anti-PD-1 responders and non-responders in HCC patients. Differential expression analysis identified S100A9 as a potential driver gene of resistance to anti-PD-1 therapy. Subcutaneous tumor models and an orthotopic HCC model established via hydrodynamic transfection were utilized to evaluate the impact of S100A9 on the efficacy of PD-1 therapy. Our findings revealed that S100A9 promotes resistance to anti-PD-1 therapy in HCC. Mechanistically, S100A9 directly interacted with PARP1 and induced its degradation via the ubiquitin-proteasome pathway. This process increased STAT3 phosphorylation at Tyr705, thereby enhancing PD-L1 transcription. Notably, treatment with the S100A9 inhibitor Tasquinimod significantly improved the efficacy of anti-PD-1 therapy in HCC.
conclusionsOur study reveals that S100A9 facilitates immune evasion in HCC by enhancing PARP1 ubiquitination, STAT3 phosphorylation, and PD-L1 expression. Furthermore, combining S100A9 inhibitors with anti-PD-1 antibodies markedly enhances the therapeutic efficacy of ICIs in HCC. These findings highlight S100A9 as a potential therapeutic target for overcoming resistance to immunotherapy in HCC.
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.