Multi-Laboratory Testing of Early Preclinical Discoveries Identifies Promising Treatments
Authors:
- Pasquale PellegriniPPPasquale Pellegrini
- Sophia C. RotterSRSophia C. Rotter
- María Arroyo-AraujoMAMaría Arroyo-Araujo
- Clarissa F. D. CarneiroCCClarissa F. D. Carneiro
- Natascha I. DrudeNDNatascha I. Drude
- Lorena Martinez GamboaLGLorena Martinez Gamboa
- Ana BanitoABAna Banito
- Nadine BernhardtNBNadine Bernhardt
- Anne-Laure BoulesteixABAnne-Laure Boulesteix
- Frank ButtgereitFBFrank Buttgereit
- Astrid DempfleADAstrid Dempfle
- Nayar Durán-HernándezNDNayar Durán-Hernández
Preprint
Abstract
A fundamental challenge in drug development is the frequent failure of early laboratory research to translate into clinical benefit. One promising solution is to confirm findings from exploratory single-laboratory studies across multiple laboratories before clinical testing. We investigated this approach following the conduct of preclinical multi-laboratory studies across different fields of medicine. For this, we evaluated effect sizes, experimental rigor, and a set of criteria to identify determinants of confirmation success. When tested under increased rigor, only a fraction of multi-laboratory studies confirmed the initial results. The underlying effect size reduction was associated with outcome-relevant experimental differences between exploratory and confirmatory stages. In summary, multi-laboratory studies proved highly informative and served as an effective filter for promising treatments. One Sentence Summary: Confirmatory testing of exploratory findings in rigorous multi-laboratory settings reveals which hold up and what limits their translation.Keywords
Funding Information
- Bundesministerium für Forschung, Technologie und Raumfahrt (01KC1901A)
- Bundesministerium für Forschung, Technologie und Raumfahrt (01KC2306)
- Bundesministerium für Forschung, Technologie und Raumfahrt (01KC2003A)
- Bundesministerium für Forschung, Technologie und Raumfahrt (01KC2004A)
- Bundesministerium für Forschung, Technologie und Raumfahrt (01KC2005)
- Bundesministerium für Forschung, Technologie und Raumfahrt (01KC2006A)
- Deutsche Forschungsgemeinschaft (BO3139/7)
- Deutsche Forschungsgemeinschaft (BO3139/7-2)
This publication has 59 references indexed in Scilit:
- Data Analysis Planning and Reporting for Confirmatory Multi‐Lab Preclinical Trials: A TutorialBiometrical Journal, 2026
- Which experimental factors govern successful animal-to-human translation in multiple sclerosis drug development? A systematic review and meta-analysisEBioMedicine, 2024
- Novel MECP2 gene therapy is effective in a multicenter study using two mouse models of Rett syndrome and is safe in non-human primatesMolecular Therapy, 2023
- Performance of four centralized statistical monitoring methods for early detection of an atypical center in a multicenter studyContemporary Clinical Trials Communications, 2023
- Science disconnected: the translational gap between basic science, clinical trials, and patient care in Alzheimer's diseaseThe Lancet Healthy Longevity, 2022
- Reliability of common mouse behavioural tests of anxiety: A systematic review and meta-analysis on the effects of anxiolyticsNeuroscience & Biobehavioral Reviews, 2022
- The REDCap consortium: Building an international community of software platform partnersJournal of Biomedical Informatics, 2019
- Increasing value and reducing waste in biomedical research: who's listening?The Lancet, 2016
- Biomedical research: increasing value, reducing wasteThe Lancet, 2014
- Research electronic data capture (REDCap)—A metadata-driven methodology and workflow process for providing translational research informatics supportJournal of Biomedical Informatics, 2009