PIAS1 Shapes a Tumor-Suppressive Microenvironment by Suppressing Immune Evasion in Oral Squamous Cell Carcinoma
Bibliographic record
Abstract
BACKGROUND: The SUMO E3 ligase PIAS1 (Protein Inhibitor of Activated STAT1) regulates pathways such as TGFβ signaling and has been implicated in multiple cancers. However, its role in the tumor microenvironment (TME), particularly in non-malignant stromal and immune cells, remains poorly understood. This study aimed to characterize the expression and functional relevance of PIAS1 within the TME of oral squamous cell carcinoma (OSCC). METHODS: PIAS1 protein expression was assessed via immunohistochemistry (IHC) on OSCC tissue microarrays. Single-cell RNA-sequencing (scRNA-seq) datasets from OSCC tumors and normal tissues were analyzed to map cell-type-specific PIAS1 expression. Downstream effects were evaluated using differential gene expression, Ingenuity Pathway Analysis (IPA), gene set enrichment analysis (GSEA), and cell-cell communication inference. RESULTS: IHC analysis revealed that higher stromal PIAS1 levels correlated with improved survival. scRNA-seq analysis showed an increase in the proportion of PIAS1-expressing cells across most stromal and immune cell populations within OSCC-derived tumors compared to their counterparts in adjacent normal tissue. However, when comparing PIAS1-positive cells, expression levels were significantly reduced in cancer cells, CAFs, TAMs, T cells, and endothelial cells within the TME. PIAS1-positive CAFs, TAMs, and T cells exhibited activation of apoptotic and tumor-suppressive pathways, while PIAS1-negative counterparts showed enrichment of immunosuppressive signaling and immune checkpoint expression. Cell-cell communication analyses indicated that PIAS1 fosters an immune-activated TME by promoting pro-inflammatory signaling, M1-like TAM polarization, and T cell activation. CONCLUSIONS: PIAS1 expression in stromal and immune cells is associated with tumor-suppressive reprogramming of the OSCC microenvironment. These findings position PIAS1 as a potential modulator of anti-tumor immunity and candidate target for therapeutic intervention.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".