Multi-Omics profiling identify NNMT in tumor endothelium as a key regulator of CD8⁺ T cell exhaustion via the TGF signaling pathway

• Multi-omics profiling identifies NNMT as a high-confidence therapeutic target overexpressed in tumor-associated endothelial cells in ccRCC. • NNMT+ endothelial cells form an immunosuppressive niche in direct contact with exhausted CD8+ T cells via active TGF-β signaling. • NNMT knockdown restores CD8+ T cell effector function, reduces pro-inflammatory cytokines, and shifts the BAX/Bcl-2 ratio toward apoptosis. • Multi-omics screening identifies I-BET-762, I-BET-151, PFI-1, and BMS-387032 as potent inhibitors of NNMT to reverse T cell exhaustion. • NNMT serves as a central metabolic-immune hub orchestrating TGF-β-mediated immune dysfunction and endothelial reprogramming in ccRCC. CD8⁺ T cell exhaustion is a defining feature of the immunosuppressive TME in ccRCC. We employed a multi-omics driven pipeline to nominate Nicotinamide N-methyltransferase (NNMT) as a high-confidence therapeutic target in ccRCC. This computational prediction was validated through bulk RNA-seq, single-cell RNA sequencing, and spatial transcriptomics to delineate NNMT-associated molecular and cellular programs. While the discovery phase highlighted endothelial-specific NNMT overexpression, we further validated the functional consequences of NNMT modulation using Caki-1 and A498 cell lines to model the downstream signaling cascades. Functional assays assessed impacts on proliferation, apoptosis, cytokine secretion (IL-6, IL-1β, TNF-α), and TGF-β pathway activity. Immune infiltration and T cell exhaustion signatures were evaluated across TCGA cohorts. Multi-omics profiling revealed that NNMT is specifically overexpressed in tumor-associated endothelial cells enriched for active TGF-β signaling and inflammatory cues. High NNMT expression strongly correlated with CD8⁺ T cell exhaustion, elevated apoptotic signaling, and immunosuppressive cytokine production. In functional validation, NNMT knockdown suppressed TGF-β activity, reduced pro-inflammatory cytokines, and restored CD8⁺ T cell infiltration and effector function. Mechanistically, NNMT loss shifted the BAX/Bcl-2 ratio toward apoptosis and increased cleaved caspase-3. Spatial transcriptomics confirmed that NNMT⁺ endothelial cells form an immunosuppressive niche in direct contact with exhausted T cells. We also found that I-BET-762, I-BET-151, PFI-1, and BMS-387032 can target and inhibit NNMT to reduce CD8⁺ T cell exhaustion. We establish NNMT as a central metabolic-immune hub that orchestrates TGF-β-mediated CD8⁺ T cell dysfunction and endothelial reprogramming in ccRCC.

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Journal
Translational Oncology
Published
2026-05-17
DOI
https://doi.org/10.1016/j.tranon.2026.102809
Primary Topic
Single-cell and spatial transcriptomics
Type
article
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article

Multi-Omics profiling identify NNMT in tumor endothelium as a key regulator of CD8⁺ T cell exhaustion via the TGF signaling pathway

Huanhuan Tan, Yu Gao, Ke Xu, Xiaosong Li et al.
Translational Oncology
Single-cell and spatial transcriptomics
article

Multi-Omics profiling identify NNMT in tumor endothelium as a key regulator of CD8⁺ T cell exhaustion via the TGF signaling pathway

Huanhuan Tan, Yu Gao, Ke Xu, Xiaosong Li, L Wang, Yi Li, Ziyang Liu, Ying Luo, Honglin He, Ke Su
article en

Abstract

• Multi-omics profiling identifies NNMT as a high-confidence therapeutic target overexpressed in tumor-associated endothelial cells in ccRCC. • NNMT+ endothelial cells form an immunosuppressive niche in direct contact with exhausted CD8+ T cells via active TGF-β signaling. • NNMT knockdown restores CD8+ T cell effector function, reduces pro-inflammatory cytokines, and shifts the BAX/Bcl-2 ratio toward apoptosis. • Multi-omics screening identifies I-BET-762, I-BET-151, PFI-1, and BMS-387032 as potent inhibitors of NNMT to reverse T cell exhaustion. • NNMT serves as a central metabolic-immune hub orchestrating TGF-β-mediated immune dysfunction and endothelial reprogramming in ccRCC. CD8⁺ T cell exhaustion is a defining feature of the immunosuppressive TME in ccRCC. We employed a multi-omics driven pipeline to nominate Nicotinamide N-methyltransferase (NNMT) as a high-confidence therapeutic target in ccRCC. This computational prediction was validated through bulk RNA-seq, single-cell RNA sequencing, and spatial transcriptomics to delineate NNMT-associated molecular and cellular programs. While the discovery phase highlighted endothelial-specific NNMT overexpression, we further validated the functional consequences of NNMT modulation using Caki-1 and A498 cell lines to model the downstream signaling cascades. Functional assays assessed impacts on proliferation, apoptosis, cytokine secretion (IL-6, IL-1β, TNF-α), and TGF-β pathway activity. Immune infiltration and T cell exhaustion signatures were evaluated across TCGA cohorts. Multi-omics profiling revealed that NNMT is specifically overexpressed in tumor-associated endothelial cells enriched for active TGF-β signaling and inflammatory cues. High NNMT expression strongly correlated with CD8⁺ T cell exhaustion, elevated apoptotic signaling, and immunosuppressive cytokine production. In functional validation, NNMT knockdown suppressed TGF-β activity, reduced pro-inflammatory cytokines, and restored CD8⁺ T cell infiltration and effector function. Mechanistically, NNMT loss shifted the BAX/Bcl-2 ratio toward apoptosis and increased cleaved caspase-3. Spatial transcriptomics confirmed that NNMT⁺ endothelial cells form an immunosuppressive niche in direct contact with exhausted T cells. We also found that I-BET-762, I-BET-151, PFI-1, and BMS-387032 can target and inhibit NNMT to reduce CD8⁺ T cell exhaustion. We establish NNMT as a central metabolic-immune hub that orchestrates TGF-β-mediated CD8⁺ T cell dysfunction and endothelial reprogramming in ccRCC.

Translational OncologyVol. 69
Southwest Medical University (CN), Ningxia Medical University (CN), The Affiliated Yongchuan Hospital of Chongqing Medical University (CN), Chongqing Emergency Medical Center (CN), Chongqing Medical University (CN)
Openalex Percentile: Top 9%
Single-cell and spatial transcriptomics
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