ArticleJournal of gastrointestinal cancer2024
The Prediction of DLL4 as a Prognostic Biomarker in Patients with Gastric Cancer Using Anti-DLL4 Nanobody.
Article in Journal of gastrointestinal cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Targeting angiogenesis: advances in the design and engineered applications of nanobodies.Frontiers in immunology · 2026Review
- Inferring Personalized Cell-Cell Communication Networks in Colorectal Cancer with Individualized Causal Discovery.bioRxiv : the preprint server for biology · 2025Article
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Authors and funding
6 authors.
Funding
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Abstract
backgroundAngiogenesis and cancer metastasis depend on the DLL4/Notch signaling pathway. A new approach to treating angiogenesis could inhibit or block this pathway. In the present study, we investigated DLL4 expression as a biomarker capable of predicting survival outcomes in gastric cancer patients using a novel anti-DLL4 Nanobody. PATIENTS AND
methodsBy using a recently developed anti-DLL4 Nanobody, the expression of DLL4 was evaluated in tissue samples from 135 gastric cancer patients. It was evaluated whether DLL4 expression is related to clinicopathological factors, overall survival (OS), and recurrence-free survival (RFS).
resultsSixty-five (48%) gastric cancer patients had a positive expression of DLL4 within the tumor tissue. Based on both the univariate and multivariate regression analyses, the expression of DLL4 was strongly associated with RFS (HR, 1.94; p = 0.008) and OS (HR, 2.06; p = 0.004). Moreover, the survival analysis demonstrated that DLL4 expression was a significant independent factor of unfavorable OS (HR, 2.7; p = 0.01) and RFS (HR, 2.3; p = 0.02) in gastric cancer patients.
conclusionDLL4 expression in gastric cancer patients may predict poor prognosis and survival. Furthermore, the current data demonstrate the potential of Nanobody for detecting DLL4, and it may lead to develop novel therapies and diagnostics for tumors.
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