Signalomics for molecular tumor boards and precision oncology of breast and gynecological cancers

Abstract Precision oncology led to the establishment and widespread application of molecular tumor boards (MTBs)—multidisciplinary units combining molecular and clinical assessment of individual cancer cases for swift selection of personalized treatments. Whole-exome or gene panel sequencing, combin...

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Main Authors: Tatiana V Denisenko, Anna E Ivanova, Alexey Koval, Denis N Silachev, Lee Jia, Gennadiy T Sukhikh, Vladimir L Katanaev
Format: Article
Language:English
Published: Springer Nature 2025-06-01
Series:Molecular Systems Biology
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Online Access:https://doi.org/10.1038/s44320-025-00125-1
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author Tatiana V Denisenko
Anna E Ivanova
Alexey Koval
Denis N Silachev
Lee Jia
Gennadiy T Sukhikh
Vladimir L Katanaev
author_facet Tatiana V Denisenko
Anna E Ivanova
Alexey Koval
Denis N Silachev
Lee Jia
Gennadiy T Sukhikh
Vladimir L Katanaev
author_sort Tatiana V Denisenko
collection DOAJ
description Abstract Precision oncology led to the establishment and widespread application of molecular tumor boards (MTBs)—multidisciplinary units combining molecular and clinical assessment of individual cancer cases for swift selection of personalized treatments. Whole-exome or gene panel sequencing, combined with transcriptomic, immunohistochemical, and other molecular analyses, often permits dissection of molecular drivers of a tumor and identification of its potential targetable vulnerabilities, instructing clinical oncologists on sometimes unconventional treatment options. However, cancer drivers are often unleashed mutation-independently, especially in breast and gynecological cancers, and deleterious mutations are not always pathogenic. To complement the MTB arsenal, we chart here the molecular toolset we call Signalomics that permits fast and robust assessment of a panel of oncogenic signaling pathways in fresh tumor samples. Using transcriptional reporters introduced in primary tumor cells, this approach identifies the pathways overactivated in a given tumor and validates their sensitivity to targeted therapies, providing actionable insights for personalized treatment strategies. Integration of Signalomics into MTB workflows bridges the gap between molecular profiling and functional pathway analysis, refining clinical treatment decisions and advancing precision oncology.
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series Molecular Systems Biology
spelling doaj-art-13daa0ea9a484988bf654201962528e82025-08-20T03:42:09ZengSpringer NatureMolecular Systems Biology1744-42922025-06-0121895295910.1038/s44320-025-00125-1Signalomics for molecular tumor boards and precision oncology of breast and gynecological cancersTatiana V Denisenko0Anna E Ivanova1Alexey Koval2Denis N Silachev3Lee Jia4Gennadiy T Sukhikh5Vladimir L Katanaev6Kulakov National Medical Research Center of Obstetrics, Gynecology and PerinatologyKulakov National Medical Research Center of Obstetrics, Gynecology and PerinatologyTranslational Research Centre in Oncohaematology, Department of Cell Physiology and Metabolism, Faculty of Medicine, University of GenevaKulakov National Medical Research Center of Obstetrics, Gynecology and PerinatologyCollege of Materials and Chemical Engineering, Minjiang UniversityKulakov National Medical Research Center of Obstetrics, Gynecology and PerinatologyTranslational Research Centre in Oncohaematology, Department of Cell Physiology and Metabolism, Faculty of Medicine, University of GenevaAbstract Precision oncology led to the establishment and widespread application of molecular tumor boards (MTBs)—multidisciplinary units combining molecular and clinical assessment of individual cancer cases for swift selection of personalized treatments. Whole-exome or gene panel sequencing, combined with transcriptomic, immunohistochemical, and other molecular analyses, often permits dissection of molecular drivers of a tumor and identification of its potential targetable vulnerabilities, instructing clinical oncologists on sometimes unconventional treatment options. However, cancer drivers are often unleashed mutation-independently, especially in breast and gynecological cancers, and deleterious mutations are not always pathogenic. To complement the MTB arsenal, we chart here the molecular toolset we call Signalomics that permits fast and robust assessment of a panel of oncogenic signaling pathways in fresh tumor samples. Using transcriptional reporters introduced in primary tumor cells, this approach identifies the pathways overactivated in a given tumor and validates their sensitivity to targeted therapies, providing actionable insights for personalized treatment strategies. Integration of Signalomics into MTB workflows bridges the gap between molecular profiling and functional pathway analysis, refining clinical treatment decisions and advancing precision oncology.https://doi.org/10.1038/s44320-025-00125-1Molecular Tumor BoardOncogenic Signaling PathwaysSignalomicsPrecision OncologyBreast and Gynecological Cancers
spellingShingle Tatiana V Denisenko
Anna E Ivanova
Alexey Koval
Denis N Silachev
Lee Jia
Gennadiy T Sukhikh
Vladimir L Katanaev
Signalomics for molecular tumor boards and precision oncology of breast and gynecological cancers
Molecular Systems Biology
Molecular Tumor Board
Oncogenic Signaling Pathways
Signalomics
Precision Oncology
Breast and Gynecological Cancers
title Signalomics for molecular tumor boards and precision oncology of breast and gynecological cancers
title_full Signalomics for molecular tumor boards and precision oncology of breast and gynecological cancers
title_fullStr Signalomics for molecular tumor boards and precision oncology of breast and gynecological cancers
title_full_unstemmed Signalomics for molecular tumor boards and precision oncology of breast and gynecological cancers
title_short Signalomics for molecular tumor boards and precision oncology of breast and gynecological cancers
title_sort signalomics for molecular tumor boards and precision oncology of breast and gynecological cancers
topic Molecular Tumor Board
Oncogenic Signaling Pathways
Signalomics
Precision Oncology
Breast and Gynecological Cancers
url https://doi.org/10.1038/s44320-025-00125-1
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