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ORIGINAL RESEARCH article
Front. Immunol.
Sec. Cancer Immunity and Immunotherapy
Volume 16 - 2025 | doi: 10.3389/fimmu.2025.1555287
This article is part of the Research Topic The Role of Metabolic Reprogramming in Tumor Therapy View all 5 articles
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Pancreatic adenocarcinoma (PAAD) is a highly aggressive malignancy with a profoundly immunosuppressive tumor microenvironment (TME), characterized by limited response to immunotherapy. This study investigates the role of tumor-specific metabolic reprogramming in shaping the immune landscape of PAAD and its implications for prognosis and therapeutic strategies. By integrating multi-omics data from TCGA, GEO, and ICGC, we identified key metabolism-related genes (MRGs) that influence immune cell infiltration, tumor progression, and patient survival.We developed a novel metabolic-prognostic index (MPI) based on nine key MRGs, including ANLN, PKMYT1, and HMGA1, which effectively stratifies patients into high-and low-risk groups. MPI was constructed and validated as a robust prognostic tool. High MPI scores were associated with poor overall survival, increased tumor mutation burden (TMB), and an immunosuppressive TME, including reduced infiltration of CD8+ T cells and elevated expression of immune checkpoint markers such as PD-L1 and TGF-β . Functional enrichment analysis revealed glycolysis and folate biosynthesis as dominant pathways in high MPI score groups, while fatty acid metabolism was enriched in low MPI groups.Further experimental validation highlighted the oncogenic role of ANLN, a glycolysis-associated gene, in promoting epithelial-mesenchymal transition (EMT) and immune evasion via the NF-κB signaling pathway. Knockdown of ANLN in vitro significantly suppressed glycolytic activity, tumor cell migration, and immune evasion, thereby confirming its potential as a therapeutic target.Drug sensitivity analysis revealed that high MPI score patients exhibited resistance to chemotherapy agents such as gemcitabine but showed sensitivity to targeted inhibitors like Afatinib. Additionally, while high MPI scores predicted resistance to immune checkpoint inhibitors (ICI) based on TIDE analysis, a subset of high-score patients responded favorably to anti-PD-L1 therapy.This study provides a comprehensive framework for understanding the interplay between metabolic reprogramming and immune modulation in PAAD. By effectively stratifying patients, the MPI score serves as a guide for treatment decisions, particularly in selecting targeted therapies and predicting the efficacy of immunotherapy
Keywords: Pancreatic adenocarcinoma, Multiple omics data, MPI score model, survival analysis, Immune landscape
Received: 04 Jan 2025; Accepted: 17 Feb 2025.
Copyright: © 2025 Song, Yu, Wang, Cui, Zhu, Liu, Wei and Chi. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Wangrui Liu, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
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