Epithelial zinc finger protein in lung adenocarcinoma: prognostic biomarker with molecular and clinical implications

被引:0
作者
Wen, Xiaofen [1 ]
Zhu, Jianling [2 ]
Xi, Didi [3 ]
Chen, Minna [1 ]
Zeng, De [1 ]
Xue, Wenwu [1 ]
Lin, Danxia [1 ]
Shen, Jiaxin [4 ]
机构
[1] Shantou Univ, Canc Hosp, Dept Med Oncol, Med Coll, Shantou 515031, Guangdong, Peoples R China
[2] Shantou Univ, Canc Hosp, Dept Pathol, Med Coll, Shantou 515031, Guangdong, Peoples R China
[3] Dongguan Binhai Bay Cent Hosp, Dept Oncol & Hematol, Dongguan 523903, Guangdong, Peoples R China
[4] Shantou Univ, Affiliated Hosp 1, Med Coll, Dept Hematol, Shantou 515031, Guangdong, Peoples R China
来源
HEREDITAS | 2025年 / 162卷 / 01期
关键词
EZF/KLF4; Prognostic Marker; Lung Adenocarcinoma; Tumor Immunity; Nomogram; IMMUNE LANDSCAPE; GENE-EXPRESSION; CANCER; CELLS; PACKAGE; KLF4;
D O I
10.1186/s41065-025-00476-7
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Objective This study aimed to evaluate the prognostic significance of epithelial zinc finger protein (EZF/KLF4) in lung adenocarcinoma (LAC) and explore its potential roles in tumor progression and immune regulation. Methods and Materials EZF expression and its associations with clinical characteristics were analyzed using TCGA and GEO datasets, and validated by immunohistochemistry in 25 paired LAC and adjacent normal tissues. Mechanistic insights were investigated through protein-protein interaction networks, gene set enrichment analysis (GSEA), DNA methylation profiling, and immune cell infiltration analysis via single-sample GSEA. A prognostic nomogram incorporating EZF expression, pT and pN stages, and residual tumor status was constructed using Cox regression modeling. Results EZF expression was significantly downregulated in LAC tissues compared to normal tissues across multiple cohorts (P < 0.001), yet paradoxically associated with advanced tumor stages and worse overall, disease-specific, and progression-free survival. Functional analyses revealed EZF-associated pathways enriched in immune modulation. EZF expression correlated strongly with infiltrating immune cells, including NK cells, eosinophils, mast cells, and neutrophils. Hypomethylation of the EZF promoter was linked to poor prognosis. The constructed nomogram exhibited strong predictive accuracy for patient outcomes. Conclusion EZF functions as a context-dependent regulator in LAC and may act as a prognostic biomarker by modulating tumor-immune interactions. These findings offer novel insights into the integration of molecular and immune features for personalized risk stratification and therapeutic guidance in LAC.
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页数:18
相关论文
共 40 条
[21]   Prognostic significance of KLF4 in solid tumours: an updated meta-analysis [J].
Luo, Xiaoya ;
Zhang, Yue ;
Meng, Ying ;
Ji, Ming ;
Wang, Yongjun .
BMC CANCER, 2022, 22 (01)
[22]   Targeted therapy in advanced non-small cell lung cancer: current advances and future trends [J].
Majeed, Umair ;
Manochakian, Rami ;
Zhao, Yujie ;
Lou, Yanyan .
JOURNAL OF HEMATOLOGY & ONCOLOGY, 2021, 14 (01)
[23]   Immune checkpoint inhibitors for patients with advanced lung cancer and oncogenic driver alterations: results from the IMMUNOTARGET registry [J].
Mazieres, J. ;
Drilon, A. ;
Lusque, A. ;
Mhanna, L. ;
Cortot, A. B. ;
Mezquita, L. ;
Thai, A. A. ;
Mascaux, C. ;
Couraud, S. ;
Veillon, R. ;
Van Den Heuvel, M. ;
Neal, J. ;
Peled, N. ;
Fruh, M. ;
Ng, T. L. ;
Gounant, V ;
Popat, S. ;
Diebold, J. ;
Sabari, J. ;
Zhu, V. W. ;
Rothschild, S. I. ;
Bironzo, P. ;
Martinez-Marti, A. ;
Curioni-Fontecedro, A. ;
Rosell, R. ;
Lattuca-Truc, M. ;
Wiesweg, M. ;
Besse, B. ;
Solomon, B. ;
Barlesi, F. ;
Schouten, R. D. ;
Wakelee, H. ;
Camidge, D. R. ;
Zalcman, G. ;
Novello, S. ;
Ou, S. I. ;
Milia, J. ;
Gautschi, O. .
ANNALS OF ONCOLOGY, 2019, 30 (08) :1321-1328
[24]   MethSurv: a web tool to perform multivariable survival analysis using DNA methylation data [J].
Modhukur, Vijayachitra ;
Iljasenko, Tatjana ;
Metsalu, Tauno ;
Lokk, Kaie ;
Laisk-Podar, Triin ;
Vilo, Jaak .
EPIGENOMICS, 2018, 10 (03) :277-288
[25]   Independent Drug Action in Combination Therapy: Implications for Precision Oncology [J].
Plana, Deborah ;
Palmer, Adam C. ;
Sorger, Peter K. .
CANCER DISCOVERY, 2022, 12 (03) :606-624
[26]  
Postow MA, 2018, NEW ENGL J MED, V378, P158, DOI [10.1056/NEJMra1703481, 10.1056/NEJMc1801663]
[27]   edgeR: a Bioconductor package for differential expression analysis of digital gene expression data [J].
Robinson, Mark D. ;
McCarthy, Davis J. ;
Smyth, Gordon K. .
BIOINFORMATICS, 2010, 26 (01) :139-140
[28]   Cancer statistics, 2023 [J].
Siegel, Rebecca L. ;
Miller, Kimberly D. ;
Wagle, Nikita Sandeep ;
Jemal, Ahmedin .
CA-A CANCER JOURNAL FOR CLINICIANS, 2023, 73 (01) :17-48
[29]   Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles [J].
Subramanian, A ;
Tamayo, P ;
Mootha, VK ;
Mukherjee, S ;
Ebert, BL ;
Gillette, MA ;
Paulovich, A ;
Pomeroy, SL ;
Golub, TR ;
Lander, ES ;
Mesirov, JP .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2005, 102 (43) :15545-15550
[30]   Targeted Therapies for Lung Cancer Patients With Oncogenic Driver Molecular Alterations [J].
Tan, Aaron C. ;
Tan, Daniel S. W. .
JOURNAL OF CLINICAL ONCOLOGY, 2022, 40 (06) :611-+