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Clinical Trial Summary

Small bowel adenocarcinoma is a rare malignancy, and there is limited knowledge about its optimal clinical management and molecular background. The SBAMOL study is an observational biomarker study that aims to identify prognostic and predictive biomarkers. This effort is intended to lay the groundwork for personalized medicine tailored to this specific patient group.


Clinical Trial Description

Small bowel adenocarcinoma (SBA), an orphan cancer, has annual diagnoses of 12,070 in the USA and 100 in Denmark. Despite its rarity, patient management should prioritize evidence-based care, but large trials are not feasible, leading to data scarcity and suboptimal care. As a result, SBA is treated like colorectal cancer, yet its prognosis is worse, indicating this parallel approach is insufficient. The grasp on SBAs molecular landscape is limited compared to prevalent cancers. Scant mutational profiling studies, suggest SBA is a heterogeneous disease where subsets resemble other gastrointestinal cancers. This underscores the potential for personalized treatments, including targeted therapies and immunotherapies. Comprehensive molecular characterization, using DNA, RNA, and T-cell receptor characteristics, can provide much-needed strategic direction for patient care and future trials. Capitalizing on this, the investigators propose a comprehensive molecular characterization aiming to develop consensus molecular subtypes that can direct future trials and SBA therapeutic strategies. The investigators hypothesize that a consensus molecular profiling approach can identify subgroups of SBA with distinct molecular, cellular, and histological characteristics, that will benefit from tailored treatment strategies using chemotherapy, targeted therapy, and immunotherapy. To explore this hypothesis, the investigators will: (WP1) perform molecular and immunological characterization of tumor tissues from SBA patients (n=200) to establish consensus molecular subtypes of SBA and define their biological attributes; (WP2) ascertain therapeutic avenues tailored to each subtype and devise a molecular algorithm to prospectively categorize individual tumors in real-time, laying the groundwork for molecularly-driven management. ;


Study Design


Related Conditions & MeSH terms


NCT number NCT06234306
Study type Observational
Source Copenhagen University Hospital at Herlev
Contact Dan Høgdall, MD PhD
Phone 004538681954
Email danhog01@regionh.dk
Status Recruiting
Phase
Start date January 1, 2024
Completion date December 31, 2033

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