AMBAR-interactive alteration annotations for molecular tumor boards

Creators: Fürstberger, Axel and Ikonomi, Nensi and Kestler, Angelika MR and Marienfeld, Ralf and Schwab, Julian D. and Kuhn, Peter and Seufferlein, Thomas and Kestler, Hans A.
Title: AMBAR-interactive alteration annotations for molecular tumor boards
Item Type: Article or issue of a publication series
Projects: DigiHealth
Journal or Series Title: Computer Methods and Programs in Biomedicine
Type of Paper / Paper No.: 107697 (Digit. P)
Additional Information: Open Access - Free Article
Date: 2023
Divisions: Gesundheitsmanagement
Abstract (ENG): Motivation: Personalized decision-making for cancer therapy relies on molecular profiling from sequencing data in combination with database evidence and expert knowledge. Molecular tumor boards (MTBs) bring together clinicians and scientists with diverse expertise and are increasingly established in the clinical routine for therapeutic interventions. However, the analysis and documentation of patients data are still time-consuming and difficult to manage for MTBs, especially as few tools are available for the amount of information required. Results: To overcome these limitations, we developed an interactive web application AMBAR (Alteration annotations for Molecular tumor BoARds), for therapeutic decision-making support in MTBs. AMBAR is an R shiny-based application that allows customization, interactive filtering, visualization, adding expert knowledge, and export to clinical systems of annotated mutations. Availability: AMBAR is dockerized, open source and available at https://sysbio.uni-ulm.de/?Software:Ambar Contact:hans.kestler@uni-ulm.de.
Forthcoming: No
Language: English
Uncontrolled Keywords: Interactive application; MTBs; Personalized medicine
Link eMedia: Download
Citation:

Fürstberger, Axel and Ikonomi, Nensi and Kestler, Angelika MR and Marienfeld, Ralf and Schwab, Julian D. and Kuhn, Peter and Seufferlein, Thomas and Kestler, Hans A. (2023) AMBAR-interactive alteration annotations for molecular tumor boards. Computer Methods and Programs in Biomedicine, 240, Paper 107697 (Digit. P). ISSN 1872-7565

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