Enhancing translational research in metastatic cancer through an open science environment: the UPTIDER experience
Year: 2025
Type: article
Abstract: Translational research in metastatic cancer is limited by insufficient metastatic samples. Post-mortem tissue donation programs address this issue by facilitating comprehensive sample collection. Sustaining such programs requires an open science environment (OSE) to ensure multidisciplinary collaboration, research standards, and patient privacy. While often seen at publication, we demonstrate the benefit of developing upstream phases by presenting the OSE from our institutional post-mortem tissue donation program UPTIDER (NCT04531696). It contains (i) an electronic case report form to capture >750 clinical features including treatment lines and metastases, (ii) a lab information management system to track >100 metadata features from logistical to anatomical information, (iii) a code versioning system, (iv) long-term data and sample storage, and (v) code and data sharing upon publication. By ensuring latest access to information, our OSE reflects the potential to accelerate translational research. While our OSE was tailored for UPTIDER, we believe our experiences can inspire others.
Source: npj Precision Oncology
Authors: Anirudh Pabba, Marion Maetens, Amena Mahdami, Tatjana Geukens, Maxim De Schepper, Gitte Zels, Karen Van Baelen, Sophia Leduc, Ha Linh Nguyen, Josephine Van Cauwenberge, Kristien Borremans, Sigrid Hatse, Madita Nysen, Emma Rousseau, Angelica Di Tommaso, Bram Boeckx, Patrick Neven, Hans Wildiers, Elia Biganzoli, Peter Vermeulen, Wouter Van Den Bogaert, Diether Lambrechts, Giuseppe Floris, Christine Desmedt, François Richard
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $4,090
Awards: G3581678480, Breast cancer biology and ageing., G5048685634, G5507996354, LIQUIDEVO: Unravelling breast cancer heterogeneity, progression and treatment resistance in the context of a rapid post-mortem institutional tissue donation program using phylogenetic reconstruction algorithms and an Open Science approach., Using standard and next-generation pathology to advance breast cancer characterization.
OpenAlex ID: W4415958900