Tumor-associated neutrophils in pancreatic ductal adenocarcinoma: mechanisms and therapeutic targeting.
1/5 보강
Pancreatic ductal adenocarcinoma (PDAC) remains one of the most lethal malignancies, characterized by profound therapeutic resistance and a 5-year survival rate below 10%.
APA
Wu X, Zhu W, et al. (2026). Tumor-associated neutrophils in pancreatic ductal adenocarcinoma: mechanisms and therapeutic targeting.. Frontiers in immunology, 17, 1806714. https://doi.org/10.3389/fimmu.2026.1806714
MLA
Wu X, et al.. "Tumor-associated neutrophils in pancreatic ductal adenocarcinoma: mechanisms and therapeutic targeting.." Frontiers in immunology, vol. 17, 2026, pp. 1806714.
PMID
42023239
Abstract
Pancreatic ductal adenocarcinoma (PDAC) remains one of the most lethal malignancies, characterized by profound therapeutic resistance and a 5-year survival rate below 10%. This prognosis is largely driven by a highly immunosuppressive tumor microenvironment (TME), in which tumor-associated neutrophils (TANs) serve as pivotal regulators. Upon recruitment to the TME, neutrophils undergo functional polarization into distinct phenotypes that either antagonize or facilitate tumor progression. This review synthesizes recent advances in PDAC research, delineating the ontogeny, subpopulation heterogeneity, and molecular mechanisms governing the pro- or anti-tumorigenic effects of TANs. We emphasize the regulatory crosstalk between TANs and the immune microenvironment, highlighting key signaling axes such as TGF-β and C-X-C chemokine receptor 2 (CXCR2) pathways. Furthermore, we evaluate TAN-targeted therapeutic strategies, categorizing them into recruitment inhibition, functional reprogramming, and immunosuppression disruption. Finally, we discuss translational challenges, including biomarker development and the shift from neutrophil depletion to functional reprogramming, offering perspectives for overcoming therapeutic resistance in PDAC.
MeSH Terms
Humans; Carcinoma, Pancreatic Ductal; Tumor Microenvironment; Pancreatic Neoplasms; Neutrophils; Animals; Signal Transduction; Neutrophil Infiltration
같은 제1저자의 인용 많은 논문 (5)
- Artificial Intelligence Models Integrating Preoperative Prostate MRI and Clinical Parameters for Predicting Extraprostatic Extension: A Systematic Review and Meta-Analysis.
- Loss of UFL1 confers enzalutamide resistance of prostate tumors by regulating METTL16-mediated m6A modification of EEF1A1 mRNA.
- Development and validation of a predictive and prognostic model of perineural invasion in colorectal cancer.
- Host-microbe interactions in NAD metabolism.
- Interpretable Machine Learning Model for Predicting Prolonged Postoperative Length of Stay in Lung Cancer Patients Undergoing Day Surgery: A Retrospective Cohort Study.