A Perspective on Expanding Our Understanding of Cancer Treatments by Integrating Approaches from the Biological and Physical Sciences
Autor: | Carly Strelez, Shannon M. Mumenthaler, Emma J. Fong |
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Rok vydání: | 2020 |
Předmět: |
0301 basic medicine
Treatment response Biochemistry Biological Science Disciplines Analytical Chemistry 03 medical and health sciences 0302 clinical medicine Neoplasms medicine Humans cancer Effective treatment Complex adaptive system organoids cell viability Biological modeling Systems Biology Perspective (graphical) mathematical modeling imaging Cancer Models Theoretical Special Interest Group medicine.disease Data science 030104 developmental biology 030220 oncology & carcinogenesis Perspective Molecular Medicine Natural Science Disciplines organ-on-chip Biotechnology |
Zdroj: | Slas Discovery |
ISSN: | 2472-5552 |
Popis: | Multicellular systems such as cancer suffer from immense complexity. It is imperative to capture the heterogeneity of these systems across scales to achieve a deeper understanding of the underlying biology and develop effective treatment strategies. In this perspective article, we will discuss how recent technologies and approaches from the biological and physical sciences have transformed traditional ways of measuring, interpreting, and treating cancer. During the SLAS 2019 Annual Meeting, SBI2 hosted a Special Interest Group (SIG) on this topic. Academic and industry leaders engaged in discussions surrounding what biological model systems are appropriate to study cancer complexity, what assays are necessary to interrogate this complexity, and how physical sciences approaches may be useful to detangle this complexity. In particular, we examined the utility of mathematical models in predicting cancer progression and treatment response when tightly integrated with reproducible, quantitative, and dynamic biological measurements achieved using high-content imaging and analysis. The dialogue centered around the impetus for convergent biosciences, bringing new perspectives to cancer research to further understand this complex adaptive system and successfully intervene therapeutically. |
Databáze: | OpenAIRE |
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