ArticleFrontiers in pharmacology2022
Predicting Approximate Clinically Effective Doses in Oncology Using Preclinical Efficacy and Body Surface Area Conversion: A Retrospective Analysis.
Article in Frontiers in pharmacology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Polyphenol-RichNutrients · 2026Article
- Clinical Pharmacology and Translational Science Considerations in the Development of Dual-Payload Antibody Drug Conjugates.Clinical and translational science · 2026Review
- Integrated Bioinformatics and Experimental Validation Reveal Fuzheng Yi'ai Formula Induces Immunogenic Cell Death Via the PERK-eIF2α-ATF4 Pathway for Prostate Cancer Treatment.Biological procedures online · 2026Article
- Oncology Dose Optimization: Tailored Approaches to Different Molecular Classes.Clinical pharmacology and therapeutics · 2025Review
- RANKL Drives Bone Metastasis in Mammary Cancer: Protective Effects of Anti-Resorptive Treatments.International journal of molecular sciences · 2025Article
- Article
- [Experimental study of resveratrol-solid lipid nanoparticles in promotion of osteogenic differentiation of bone marrow mesenchymal stem cells].Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery · 2022Article
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3 authors.
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Abstract
The correlation between efficacious doses in human tumor-xenograft mouse models and the human clinical doses of approved oncology agents was assessed using published preclinical data and recommended clinical doses. For 90 approved small molecule anti-cancer drugs, body surface area (BSA) corrected mouse efficacious doses were strongly predictive of human clinical dose ranges with 85.6% of the predictions falling within three-fold (3×) of the recommended clinical doses and 63.3% within 2×. These results suggest that BSA conversion is a useful tool for estimating human doses of small molecule oncology agents from mouse xenograft models from the early discovery stage. However, the BSA based dose conversion poorly predicts for the intravenous antibody and antibody drug conjugate anti-cancer drugs. For antibody-based drugs, five out of 30 (16.7%) predicted doses were within 3× of the recommended clinical dose. The body weight-based dose projection was modestly predictive with 66.7% of drugs predicted within 3× of the recommended clinical dose. The correlation was slightly better in ADCs (77.7% in 3×). The application and limitations of such simple dose estimation methods in the early discovery stage and in the design of clinical trials are also discussed in this retrospective analysis.
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