Treffer: An open-source SQL database schema for integrated clinical and translational data management in clinical trials.

Title:
An open-source SQL database schema for integrated clinical and translational data management in clinical trials.
Authors:
Niazi U; Cancer Research UK Southampton Clinical Trials Unit, MP131, Southampton General Hospital, University of Southampton, Southampton, UK., Stuart C; Cancer Research UK Southampton Clinical Trials Unit, MP131, Southampton General Hospital, University of Southampton, Southampton, UK., Soares P; iSolutions, University of Southampton, Southampton, UK., Foure V; iSolutions, University of Southampton, Southampton, UK., Griffiths G; Cancer Research UK Southampton Clinical Trials Unit, MP131, Southampton General Hospital, University of Southampton, Southampton, UK.
Source:
Clinical trials (London, England) [Clin Trials] 2025 Jun; Vol. 22 (3), pp. 374-377. Date of Electronic Publication: 2024 Dec 25.
Publication Type:
Journal Article
Language:
English
Journal Info:
Publisher: SAGE Publications Country of Publication: England NLM ID: 101197451 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1740-7753 (Electronic) Linking ISSN: 17407745 NLM ISO Abbreviation: Clin Trials Subsets: MEDLINE
Imprint Name(s):
Publication: London : SAGE Publications
Original Publication: London : Arnold, c2004-
References:
Sci Data. 2016 Mar 15;3:160018. (PMID: 26978244)
Sci Data. 2019 Oct 31;6(1):251. (PMID: 31672978)
Lancet Oncol. 2021 Nov;22(11):1530-1540. (PMID: 34656227)
Contributed Indexing:
Keywords: Open-source SQL database schema for clinical trials; clinical trial data integration with translational data; personalised medicine in clinical research
Entry Date(s):
Date Created: 20241225 Date Completed: 20250521 Latest Revision: 20250523
Update Code:
20250523
PubMed Central ID:
PMC12092935
DOI:
10.1177/17407745241304331
PMID:
39720844
Database:
MEDLINE

Weitere Informationen

Unlocking the power of personalised medicine in oncology hinges on the integration of clinical trial data with translational data (i.e. biospecimen-derived molecular information). This combined analysis allows researchers to tailor treatments to a patient's unique biological makeup. However, current practices within UK Clinical Trials Units present challenges. While clinical data are held in standardised formats, translational data are complex, diverse, and requires specialised storage. This disparity in format creates significant hurdles for researchers aiming to curate, integrate and analyse these datasets effectively. This article proposes a novel solution: an open-source SQL database schema designed specifically for the needs of academic trial units. Inspired by Cancer Research UK's commitment to open data sharing and exemplified by the Southampton Clinical Trials Unit's CONFIRM trial (with over 150,000 clinical data points), this schema offers a cost-effective and practical 'middle ground' between raw data and expensive Secure Data Environments/Trusted Research Environments. By acting as a central hub for both clinical and translational data, the schema facilitates seamless data sharing and analysis. Researchers gain a holistic view of trials, enabling exploration of connections between clinical observations and the molecular underpinnings of treatment response. Detailed instructions for setting up the database are provided. The open-source nature and straightforward design ensure ease of implementation and affordability, while robust security measures safeguard sensitive data. We further showcase how researchers can leverage popular statistical software like R to directly query the database. This approach fosters collaboration within the academic discovery community, ultimately accelerating progress towards personalised cancer therapies.

Declaration of conflicting interestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship and/or publication of this article.