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Open Access 28-11-2024 | Review Article

Unveiling the Digital Evolution of Molecular Tumor Boards

Authors: Sebastian Lutz, Alicia D’Angelo, Sonja Hammerl, Maximilian Schmutz, Rainer Claus, Nina M. Fischer, Frank Kramer, Zaynab Hammoud

Published in: Targeted Oncology

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Abstract

Molecular tumor boards (MTB) are interdisciplinary conferences involving various experts discussing patients with advanced tumors, to derive individualized treatment suggestions based on molecular variants. These discussions involve using heterogeneous internal data, such as patient clinical data, but also external resources such as knowledge databases for annotations and search for relevant clinical studies. This imposes a certain level of complexity that requires huge effort to homogenize the data and use it in a speedy manner to reach the needed treatment. For this purpose, most institutions involving an MTB are heading toward automation and digitalization of the process, hence reducing manual work requiring human intervention and subsequently time in deriving personalized treatment suggestions. The tools are also used to better visualize the patient’s data, which allows a refined overview for the board members. In this paper, we present the results of our thorough literature research about MTBs, their process, the most common knowledge bases, and tools used to support this decision-making process.
Literature
6.
go back to reference Halfmann M, Stenzhorn H, Gerjets P, Kohlbacher O, Oestermeier U. User-driven development of a novel molecular tumor board support tool. In: Auer S, Vidal M-E, editors. Data integration in the life sciences. Cham: Springer International Publishing; 2019. p. 195–9.CrossRef Halfmann M, Stenzhorn H, Gerjets P, Kohlbacher O, Oestermeier U. User-driven development of a novel molecular tumor board support tool. In: Auer S, Vidal M-E, editors. Data integration in the life sciences. Cham: Springer International Publishing; 2019. p. 195–9.CrossRef
20.
go back to reference Illert L. Molekulare Präzisionsonkologie im Rahmen des Molekularen Tumorboards Freiburg. 2021. Illert L. Molekulare Präzisionsonkologie im Rahmen des Molekularen Tumorboards Freiburg. 2021.
31.
go back to reference Fröhling S. Das MASTER-Programm des Deutschen Krebskonsortiums. 2020. Fröhling S. Das MASTER-Programm des Deutschen Krebskonsortiums. 2020.
37.
go back to reference Højgaard M, Spanggaard I, Harsløf L, Kringelbach T, Qvortrup C, Yde C, et al. (2022) Danish National Molecular Tumor Board: History, current status, organization and future perspectives Højgaard M, Spanggaard I, Harsløf L, Kringelbach T, Qvortrup C, Yde C, et al. (2022) Danish National Molecular Tumor Board: History, current status, organization and future perspectives
42.
go back to reference Rodríguez Ruiz N, Abd Own S, Ekström Smedby K, Eloranta S, Koch S, Wästerlid T, et al. Data-driven support to decision-making in molecular tumour boards for lymphoma: a design science approach. Front Oncol. 2022;12. Rodríguez Ruiz N, Abd Own S, Ekström Smedby K, Eloranta S, Koch S, Wästerlid T, et al. Data-driven support to decision-making in molecular tumour boards for lymphoma: a design science approach. Front Oncol. 2022;12.
44.
go back to reference Glocker K, Knurr A, Nürnberg S, Al-Hmad J, Czogalla D-I, Izzo M, et al. The Knowledge Connector: Workflow Support for Molecular Tumor Boards. Glocker K, Knurr A, Nürnberg S, Al-Hmad J, Czogalla D-I, Izzo M, et al. The Knowledge Connector: Workflow Support for Molecular Tumor Boards.
68.
go back to reference Blasi L, Bordonaro R, Serretta V, Piazza D, Firenze A, Gebbia V. Virtual clinical and precision medicine tumor boards—cloud-based platform–mediated implementation of multidisciplinary reviews among oncology centers in the COVID-19 era: protocol for an observational study. JMIR Res Protoc. 2021;10: e26220. https://doi.org/10.2196/26220.CrossRefPubMedPubMedCentral Blasi L, Bordonaro R, Serretta V, Piazza D, Firenze A, Gebbia V. Virtual clinical and precision medicine tumor boards—cloud-based platform–mediated implementation of multidisciplinary reviews among oncology centers in the COVID-19 era: protocol for an observational study. JMIR Res Protoc. 2021;10: e26220. https://​doi.​org/​10.​2196/​26220.CrossRefPubMedPubMedCentral
69.
go back to reference NIST Big Data Public Working Group, Definitions and Taxonomies Subgroup. NIST Big Data Interoperability Framework: volume 1, definitions version 3. Gaithersburg: National Institute of Standards and Technology; 2019. NIST Big Data Public Working Group, Definitions and Taxonomies Subgroup. NIST Big Data Interoperability Framework: volume 1, definitions version 3. Gaithersburg: National Institute of Standards and Technology; 2019.
73.
go back to reference Glocker K, Knurr A, Nürnberger S, Al-Hmad J, Czogalla D-I, Izzo M, et al. (2021) The Knowledge Connector: Workflow Support for Molecular Tumor Boards. German Medical Science GMS Publishing House, p DocAbstr. 392 Glocker K, Knurr A, Nürnberger S, Al-Hmad J, Czogalla D-I, Izzo M, et al. (2021) The Knowledge Connector: Workflow Support for Molecular Tumor Boards. German Medical Science GMS Publishing House, p DocAbstr. 392
74.
go back to reference Yang J, Beißbarth T, Dönitz J, et al. Onkopipe: a snakemake based DNA-sequencing pipeline for clinical variant analysis in precision medicine. In: Röhrig R, Grabe N, Haag M, Hübner U, Sax U, Oliver Schmidt C, et al., editors. Studies in health technology and informatics. IOS Press; 2023. Yang J, Beißbarth T, Dönitz J, et al. Onkopipe: a snakemake based DNA-sequencing pipeline for clinical variant analysis in precision medicine. In: Röhrig R, Grabe N, Haag M, Hübner U, Sax U, Oliver Schmidt C, et al., editors. Studies in health technology and informatics. IOS Press; 2023.
75.
go back to reference Schlotzig V, Kornrumpf K, König A, Tucholski T, Hügel J, Overbeck TR, et al. Predicting the effect of variants of unknown significance in molecular tumor boards with the VUS-Predict Pipeline. In: Röhrig R, Beißbarth T, König J, Ose C, Rauch G, Sax U, et al., editors. Studies in health technology and informatics. IOS Press; 2021. Schlotzig V, Kornrumpf K, König A, Tucholski T, Hügel J, Overbeck TR, et al. Predicting the effect of variants of unknown significance in molecular tumor boards with the VUS-Predict Pipeline. In: Röhrig R, Beißbarth T, König J, Ose C, Rauch G, Sax U, et al., editors. Studies in health technology and informatics. IOS Press; 2021.
78.
go back to reference Kurz NS, Perera-Bel J, lia, H&#246, Ltermann C, Tucholski T, et al. (2022) Identifying actionable variants in cancer—the Dual Web and Batch Processing Tool MTB-Report. In: German Medical Data Sciences 2022 – Future Medicine: More Precise, More Integrative, More Sustainable! IOS Press, pp 73–80 Kurz NS, Perera-Bel J, lia, H&#246, Ltermann C, Tucholski T, et al. (2022) Identifying actionable variants in cancer—the Dual Web and Batch Processing Tool MTB-Report. In: German Medical Data Sciences 2022 – Future Medicine: More Precise, More Integrative, More Sustainable! IOS Press, pp 73–80
Metadata
Title
Unveiling the Digital Evolution of Molecular Tumor Boards
Authors
Sebastian Lutz
Alicia D’Angelo
Sonja Hammerl
Maximilian Schmutz
Rainer Claus
Nina M. Fischer
Frank Kramer
Zaynab Hammoud
Publication date
28-11-2024
Publisher
Springer International Publishing
Published in
Targeted Oncology
Print ISSN: 1776-2596
Electronic ISSN: 1776-260X
DOI
https://doi.org/10.1007/s11523-024-01109-1
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