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Updated: Jul 27, 2025

Identifying PD-1/PD-L1 Inhibitors with Surface Plasmon Resonance Technology
Published on: May 2, 2025
Elevated nuclear PIGL disrupts the cMyc/BRD4 axis and improves PD-1 blockade therapy by dampening tumor immune
Hua Yu1, Tiezhu Shi1, Linli Yao2
1Precise Genome Engineering Centre, School of Life Sciences, Guangzhou University, Guangzhou, 510006, China.
Abstract:
To improve the efficacy of lenvatinib in combination with programmed death-1 (PD-1) blockade therapy for hepatocellular carcinoma (HCC), we screened the suppressive metabolic enzymes that sensitize HCC to lenvatinib and PD-1 blockade, thus impeding HCC progression. After analysis of the CRISPR‒Cas9 screen, phosphatidylinositol-glycan biosynthesis class L (PIGL) ranked first in the positive selection list. PIGL depletion had no effect on tumor cell growth in vitro but reprogrammed the tumor microenvironment (TME) in vivo to support tumor cell survival. Specifically, nuclear PIGL disrupted the interaction between cMyc/BRD4 on the distant promoter of target genes and thus decreased the expression of CCL2 and CCL20, which are involved in shaping the immunosuppressive TME by recruiting macrophages and regulatory T cells. PIGL phosphorylation at Y81 by FGFR2 abolished the interaction of PIGL with importin α/β1, thus retaining PIGL in the cytosol and facilitating tumor evasion by releasing CCL2 and CCL20. Clinically, elevated nuclear PIGL predicts a better prognosis for HCC patients and presents a positive correlation with CD8 + T-cell enrichment in tumors. Clinically, our findings highlight that the nuclear PIGL intensity or the change in PIGL-Y81 phosphorylation should be used as a biomarker to guide lenvatinib with PD-1 blockade therapy.
Insights
Phosphatidylinositol-glycan biosynthesis class L (PIGL) reprogramming of the tumor microenvironment enhances lenvatinib and PD-1 blockade therapy for hepatocellular carcinoma (HCC). Nuclear PIGL improves patient prognosis and guides treatment decisions.
Area of Science:
- Oncology
- Immunology
- Metabolic Engineering
Background:
- Hepatocellular carcinoma (HCC) poses a significant challenge, often requiring combination therapies like lenvatinib and programmed death-1 (PD-1) blockade.
- Improving the efficacy of these treatments necessitates understanding the underlying metabolic and microenvironmental factors that influence response.
Purpose of the Study:
- To identify suppressive metabolic enzymes that sensitize HCC to lenvatinib and PD-1 blockade therapy.
- To elucidate the role of phosphatidylinositol-glycan biosynthesis class L (PIGL) in modulating the tumor microenvironment (TME) and therapy response.
Main Methods:
- CRISPR-Cas9 screening was employed to identify key metabolic enzymes.
- In vitro and in vivo experiments assessed the impact of PIGL depletion on tumor cells and the TME.
- Analysis of protein interactions and gene expression, including cMyc/BRD4 and FGFR2-mediated phosphorylation, was performed.
- Clinical data correlation with PIGL levels and patient outcomes was evaluated.
Main Results:
- PIGL depletion did not affect tumor cell growth in vitro but reprogrammed the TME in vivo.
- Nuclear PIGL disrupts cMyc/BRD4 interactions, decreasing immunosuppressive chemokines CCL2 and CCL20.
- PIGL phosphorylation at Y81 by FGFR2 promotes its cytoplasmic localization, increasing CCL2 and CCL20.
- Elevated nuclear PIGL correlates with better HCC prognosis and CD8+ T-cell infiltration.
Conclusions:
- Nuclear PIGL plays a critical role in shaping an anti-tumor TME, enhancing lenvatinib and PD-1 blockade efficacy.
- PIGL-Y81 phosphorylation status is a key regulator of PIGL's function in the TME.
- Nuclear PIGL intensity and PIGL-Y81 phosphorylation serve as potential biomarkers for guiding combination therapy in HCC patients.
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