DOK5 as an oncogenic mediator in gastric cancer: Mechanistic insights through bioinformatics and clinical validation

Gastric cancer (GC) exhibits metastasis-driven mortality, necessitating novel biomarkers. Although Docking Protein 5 ( DOK5 ), a tyrosine kinase substrate previously implicated in neuronal development and signaling cascades, remains mechanistically uncharacterized in GC. DOK5 's diagnostic and prognostic potential was evaluated via integrated The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) data mining. Utilizing 93 surgically resected specimens (2011–2015 retrospective cohort), we correlated DOK5 immunoreactivity with clinicopathological variables. Gene Set Enrichment Analysis (GSEA) elucidated pathway associations. DOK5 demonstrated significant tumoral overexpression versus normal mucosa, prognosticating reduced survival. Clinical validations confirmed diagnostic capabilities and TNM-stage associations. GSEA revealed that DOK5 expression positively correlated with epithelial-mesenchymal transition (EMT) and Notch signaling. DOK5 functions as a tumor-promoting factor in GC carcinogenesis, mechanistically facilitating malignant progression through EMT program activation and Notch signaling pathway engagement. Critically, DOK5 immunohistochemistry may serve as a clinically feasible biomarker to stratify high-risk gastric cancer patients during routine histopathology assessment. This establishes DOK5 as both a prognostic indicator and a therapeutic target in GC therapeutics.

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Journal
Journal of Radiation Research and Applied Sciences
Published
2025-08-25
DOI
https://doi.org/10.1016/j.jrras.2025.101896
Primary Topic
Genetic factors in colorectal cancer
Type
article
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article

DOK5 as an oncogenic mediator in gastric cancer: Mechanistic insights through bioinformatics and clinical validation

Jiayun Ge, Zhongming Ge, Chungen Xing, Kun Tao
Journal of Radiation Research and Applied Sciences
Genetic factors in colorectal cancer
article

DOK5 as an oncogenic mediator in gastric cancer: Mechanistic insights through bioinformatics and clinical validation

Jiayun Ge, Zhongming Ge, Chungen Xing, Kun Tao
article en

Abstract

Gastric cancer (GC) exhibits metastasis-driven mortality, necessitating novel biomarkers. Although Docking Protein 5 ( DOK5 ), a tyrosine kinase substrate previously implicated in neuronal development and signaling cascades, remains mechanistically uncharacterized in GC. DOK5 's diagnostic and prognostic potential was evaluated via integrated The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) data mining. Utilizing 93 surgically resected specimens (2011–2015 retrospective cohort), we correlated DOK5 immunoreactivity with clinicopathological variables. Gene Set Enrichment Analysis (GSEA) elucidated pathway associations. DOK5 demonstrated significant tumoral overexpression versus normal mucosa, prognosticating reduced survival. Clinical validations confirmed diagnostic capabilities and TNM-stage associations. GSEA revealed that DOK5 expression positively correlated with epithelial-mesenchymal transition (EMT) and Notch signaling. DOK5 functions as a tumor-promoting factor in GC carcinogenesis, mechanistically facilitating malignant progression through EMT program activation and Notch signaling pathway engagement. Critically, DOK5 immunohistochemistry may serve as a clinically feasible biomarker to stratify high-risk gastric cancer patients during routine histopathology assessment. This establishes DOK5 as both a prognostic indicator and a therapeutic target in GC therapeutics.

Journal of Radiation Research and Applied SciencesVol. 18(4)
Wannan Medical College (CN), Soochow University (CN), Second Affiliated Hospital of Soochow University (CN), First Affiliated Hospital of Wannan Medical College (CN)
Good health and well-being
Openalex Percentile: Top 69%
Genetic factors in colorectal cancer
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DOK5 as an oncogenic mediator in gastric cancer: Mechanistic insights through bioinformatics and clinical validation — Jiayun Ge, Zhongming Ge, et al. · Journal of Radiation Research and Applied Sciences (2025) | TGRS Research Map | TGRS