Related Experiment Video
Updated: Mar 23, 2026

Testing Targeted Therapies in Cancer using Structural DNA Alteration Analysis and Patient-Derived Xenografts
Published on: July 25, 2020
Dll4 Inhibition plus Aflibercept Markedly Reduces Ovarian Tumor Growth
Jie Huang1, Wei Hu1, Limin Hu2
1Department of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Abstract:
Delta-like ligand 4 (Dll4), one of the Notch ligands, is overexpressed in ovarian cancer, especially in tumors resistant to anti-VEGF therapy. Here, we examined the biologic effects of dual anti-Dll4 and anti-VEGF therapy in ovarian cancer models. Using Dll4-Fc blockade and anti-Dll4 antibodies (murine REGN1035 and human REGN421), we evaluated the biologic effects of Dll4 inhibition combined with aflibercept or chemotherapy in orthotopic mouse models of ovarian cancer. We also examined potential mechanisms by which dual Dll4 and VEGF targeting inhibit tumor growth using immunohistochemical staining for apoptosis and proliferation markers. Reverse-phase protein arrays were used to identify potential downstream targets of Dll4 blockade. Dual targeting of VEGF and Dll4 with murine REGN1035 showed superior antitumor effects in ovarian cancer models compared with either monotherapy. In the A2780 model, REGN1035 (targets murine Dll4) or REGN421 (targets human Dll4) reduced tumor weights by 62% and 82%, respectively; aflibercept alone reduced tumor weights by 90%. Greater therapeutic effects were observed for Dll4 blockade (REGN1035) combined with either aflibercept or docetaxel (P < 0.05 for the combination vs. aflibercept). The superior antitumor effects of REGN1035 and aflibercept were related to increased apoptosis in tumor cells compared with the monotherapy. We also found that GATA3 expression was significantly increased in tumor stroma from the mice treated with REGN1035 combined with docetaxel or aflibercept, suggesting an indirect effect of these combination treatments on the tumor stroma. These findings identify that dual targeting of Dll4 and VEGF is an attractive therapeutic approach. Mol Cancer Ther; 15(6); 1344-52. ©2016 AACR.
Insights
Dual targeting of Delta-like ligand 4 (Dll4) and VEGF shows superior antitumor effects in ovarian cancer models, increasing apoptosis and offering a promising therapeutic strategy.
Area of Science:
- Oncology
- Molecular Biology
- Cancer Therapeutics
Background:
- Delta-like ligand 4 (Dll4) is overexpressed in ovarian cancer, particularly in tumors resistant to anti-VEGF therapy.
- VEGF inhibitors are a standard treatment, but resistance necessitates novel therapeutic strategies.
Purpose of the Study:
- To investigate the biologic effects of combining anti-Dll4 and anti-VEGF therapies in ovarian cancer models.
- To evaluate the efficacy and underlying mechanisms of dual Dll4 and VEGF targeting.
Main Methods:
- Utilized Dll4-Fc blockade and anti-Dll4 antibodies (REGN1035, REGN421) in orthotopic mouse models of ovarian cancer.
- Combined Dll4 inhibition with aflibercept (anti-VEGF) or docetaxel (chemotherapy).
- Assessed tumor growth, apoptosis, proliferation markers, and GATA3 expression via immunohistochemistry and reverse-phase protein arrays.
Main Results:
- Dual anti-Dll4 and anti-VEGF therapy demonstrated superior antitumor effects compared to monotherapy.
- Combination therapy significantly reduced tumor weights and increased tumor cell apoptosis.
- Increased GATA3 expression in tumor stroma suggests an indirect mechanism of action for combination treatments.
Conclusions:
- Dual targeting of Dll4 and VEGF presents a highly effective therapeutic approach for ovarian cancer.
- This combination strategy overcomes resistance mechanisms and enhances treatment efficacy.
- Further investigation into the role of Dll4 and VEGF in ovarian cancer progression is warranted.
More Related Videos
09:20Preclinical Assessment of the Bioactivity of the Anticancer Coumarin OT48 by Spheroids, Colony Formation Assays, and Zebrafish Xenografts
Published on: June 26, 2018
14:20Polymalic Acid-based Nano Biopolymers for Targeting of Multiple Tumor Markers: An Opportunity for Personalized Medicine?
Published on: June 13, 2014