ArticleCPT: pharmacometrics & systems pharmacology2022
Growth-rate model predicts in vivo tumor response from in vitro data.
Article in CPT: pharmacometrics & systems pharmacology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Analysis of Pharmacokinetic-Pharmacodynamic Relationships of Nanoparticles against Tumors.ACS nano · 2026Article
- Secretory carrier membrane protein 3 modulates nuclear ERK1/2 signaling and drug response in triple-negative breast cancer.Frontiers in oncology · 2026Article
- Article
- Computational modeling of drug response identifies mutant-specific constraints for dosing panRAF and MEK inhibitors in melanoma.bioRxiv : the preprint server for biology · 2024Article
- Pharmacodynamics of Cyclin D1 Degradation in Ovarian Cancer Xenografts with Repeated Oral SHetA2 Dosing.The AAPS journal · 2023Article
- Three-Dimensional Cell Cultures: The Bridge between In Vitro and In Vivo Models.International journal of molecular sciences · 2023Review
- Dissecting sources of variability in patient response to targeted therapy: anti-HER2 therapies as a case study.European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences · 2023Article
- Growth-rate model predicts in vivo tumor response from in vitro data.CPT: pharmacometrics & systems pharmacology · 2022Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A major challenge in oncology drug development is to elucidate why drugs that show promising results in cancer cell lines in vitro fail in mouse studies or human trials. One of the fundamental steps toward solving this problem is to better predict how in vitro potency translates into in vivo efficacy. A common approach to infer whether a model will respond in vivo is based on in vitro half-maximal inhibitory concentration values (IC
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Registered trials
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