ArticleBMC cancer2025
Molecularly redefining small bowel adenocarcinoma to accelerate precision patient care - protocol of a multicenter observational cohort biomarker study.
Article in BMC cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06234306 (Molecularly Redefining Small Bowel Adenocarcinoma to Accelerate Precision Patient Care), which is not on this map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Molecularly Redefining Small Bowel Adenocarcinoma to Accelerate Precision Patient Care
Who cites it
0 citing papers in PubMed.
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSmall Bowel Adenocarcinoma (SBA) is a rare gastrointestinal cancer with a limited understanding of the molecular pathology. This study aims to bridge the knowledge gap, providing a robust molecular foundation for SBA and addressing the clinical challenges inherent in treating this orphan disease. The study proposes to redefine the clinical management for SBA patients through advanced molecular profiling techniques to improve potential precision medicine. METHODS/
designThis National multicenter, observational cohort study combines retrospective and prospective analyses across Danish University Hospitals. The study enrolls patients diagnosed with SBA, retrospectively from 2009 and prospectively from 2022 onwards. Molecular profiling, including DNA, RNA, and T-cell receptor sequencing, will be conducted on SBA tissue samples. The primary outcome is to categorize SBA into consensus molecular-guided subgroups. Secondary outcomes include correlating these subgroups with clinical features, treatment responses, and patient outcomes. Machine learning algorithms will be employed for bioinformatic analyses to interpret molecular data. Ethical approval has been obtained, and patient consent will be secured for the retrospective study component. DISCUSSION: The molecular and clinical characterization of SBA is expected to add novel insights into the heterogeneity of this rare disease. By identifying molecular subgroups, the research could enable the development of personalized treatment strategies, a paradigm shift within SBA. The study acknowledges the challenges of working with orphan diseases, including limited patient numbers and diverse clinical presentations. However, its findings will have the potential to substantially impact future clinical practices and guide targeted therapies for SBA patients.
trial registrationClinicalTrials.gov NCT06234306.
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