ArticleThe AAPS journal2012
Pharmacokinetic mAb-mAb interaction: anti-VEGF mAb decreases the distribution of anti-CEA mAb into colorectal tumor xenografts.
Article in The AAPS journal, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
18 citing papers in PubMed, 29 citations in OpenAlex.
- Article
- Integrated PK/PD Modeling Relates Smoothened Inhibitor Biomarkers to The Heterogeneous Intratumor Disposition of Cetuximab in Pancreatic Cancer Tumor Models.Journal of pharmaceutical sciences · 2024Article
- A Non-radiometric Approach to Determine Tissue Vascular Blood Volume in Biodistribution Studies.The AAPS journal · 2022Article
- IOLite: phase 1b trial of doublet/triplet combinations of dostarlimab with niraparib, carboplatin-paclitaxel, with or without bevacizumab in patients with advanced cancer.Journal for immunotherapy of cancer · 2022Article
- Dynamic Contrast-Enhanced Magnetic Resonance Imaging for the Prediction of Monoclonal Antibody Tumor Disposition.International journal of molecular sciences · 2022Article
- Strategies to enhance monoclonal antibody uptake and distribution in solid tumors.Cancer biology & medicine · 2021Review
- Transient Competitive Inhibition Bypasses the Binding Site Barrier to Improve Tumor Penetration of Trastuzumab and Enhance T-DM1 Efficacy.Cancer research · 2021Article
- Threshold Change in CEA as a Predictor of Non-Progression to First-Line Systemic Therapy in Metastatic Colorectal Cancer Patients With Elevated CEA.Journal of the National Cancer Institute · 2020Article
- Understanding Inter-Individual Variability in Monoclonal Antibody Disposition.Antibodies (Basel, Switzerland) · 2019Review
- "Catch-and-Release" Anti-Carcinoembryonic Antigen Monoclonal Antibody Leads to Greater Plasma and Tumor Exposure in a Mouse Model of Colorectal Cancer.The Journal of pharmacology and experimental therapeutics · 2018Article
- Tumor-Specific Labeling of Pancreatic Cancer Using a Humanized Anti-CEA Antibody Conjugated to a Near-Infrared Fluorophore.Annals of surgical oncology · 2018Article
- Pharmacokinetic Considerations for Antibody-Drug Conjugates against Cancer.Pharmaceutical research · 2017Review
- Sorafenib Decreases Tumor Exposure to an Anti-carcinoembryonic Antigen Monoclonal Antibody in a Mouse Model of Colorectal Cancer.The AAPS journal · 2016Article
- Potential Sources of Inter-Subject Variability in Monoclonal Antibody Pharmacokinetics.Clinical pharmacokinetics · 2016Review
- Pharmacokinetic and pharmacodynamic considerations for the next generation protein therapeutics.Journal of pharmacokinetics and pharmacodynamics · 2015Review
- Therapeutic protein drug-drug interactions: navigating the knowledge gaps-highlights from the 2012 AAPS NBC Roundtable and IQ Consortium/FDA workshop.The AAPS journal · 2013Article
- Application of PBPK modeling to predict monoclonal antibody disposition in plasma and tissues in mouse models of human colorectal cancer.Journal of pharmacokinetics and pharmacodynamics · 2012Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
To date, there has been little investigation of the risk for drug-drug interactions involving monoclonal antibodies. The present work examined the effects of an anti-vascular endothelial growth factor (anti-VEGF) antibody on the plasma, tissue, and tumor disposition of T84.66, an anti-carcinoembryonic antigen (CEA) antibody, in mice. SCID mice bearing CEA-expressing human colorectal cancer (LS174T) xenografts were divided into control and anti-VEGF-treated groups. When tumors reached 200-300 mm(3) in size, (125)I-T84.66 was administered intravenously at 10 mg/kg (400 μCi/kg). Radioactivity in plasma and tissue samples was counted, and T84.66 concentrations were determined. Areas under the concentration vs. time curves (AUC) were calculated. In separate groups of mice, Evans Blue Dye was administered to evaluate the effect of anti-VEGF on tumor vascular permeability. The investigations did not demonstrate significant effects of anti-VEGF therapy on T84.66 pharmacokinetics in plasma or in non-tumor tissues. T84.66 plasma AUC((0-10 days)) values were 2.37 × 10(3) ± 1.54 × 10(2) and 2.56 × 10(3) ± 1.01 × 10(2) nM × day, for the control and treated groups (p = 0.148). Conversely, anti-VEGF treatment significantly reduced tumor vascular permeability to Evans Blue Dye by 45.0 % (p = 0.0012), and anti-VEGF therapy decreased T84.66 tumor AUC((0-10 days)) by more than 60 % (7.27 × 10(2) ± 51.4 vs. 1.98 × 10(3) ± 90.1 nM × day, p < 0.0001). Our findings suggest that anti-VEGF therapies may lead to a substantial reduction in the delivery of monoclonal antibodies to tumor tissues. It is interesting and important to note that this pharmacokinetic interaction occurs at the target site, and that no alterations in T84.66 disposition were visible based on assessment of plasma pharmacokinetics alone.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.