Systems medicine in oncology

Costa, José Abrão Cardeal da

doi:10.1038/ncponc1070

Cited by 11 publications

(8 citation statements)

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“…Systems approaches are becoming increasingly popular in applied oncology [3] and other medical settings [1]. Today, many authors combine a molecular perspective with approaches that rely on the dynamics of intracellular structures on larger size and timescales or that rely on the way whole cells are organized in tissues.…”

Section: The General Systems Perspective In Medicinementioning

confidence: 99%

Morphological Computation and Morphological Control: Steps Toward a Formal Theory and Applications

et al. 2013

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Morphological computation can be loosely defined as the exploitation of the shape, material properties, and physical dynamics of a physical system to improve the efficiency of a computation. Morphological control is the application of morphological computing to a control task. In its theoretical part, this article sharpens and extends these definitions by suggesting new formalized definitions and identifying areas in which the definitions we propose are still inadequate. We go on to describe three ongoing studies, in which we are applying morphological control to problems in medicine and in chemistry. The first involves an inflatable support system for patients with impaired movement, and is based on macroscopic physics and concepts already tested in robotics. The two other case studies (self-assembly of chemical microreactors; models of induced cell repair in radio-oncology) describe processes and devices on the micrometer scale, in which the emergent dynamics of the underlying physical system (e.g., phase transitions) are dominated by stochastic processes such as diffusion.

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Section: The General Systems Perspective In Medicinementioning

confidence: 99%

Morphological Computation and Morphological Control: Steps Toward a Formal Theory and Applications

et al. 2013

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“…It tries to understand perturbed physiological systems and complex pathologies in their entirety by integrating all levels of quantitative functional, structural, and morphological information into a coherent model. In contrast to systems biology, systems medicine seeks an integrative and systemic approach for the diagnosis, therapy, and prevention of diseases [47]. It investigates the physiological network of diseases from gene to organ systems with four main goals -predictive, preventive, personalized, and participative medicine (P4 medicine).…”

Section: Systems Biology and Medicinementioning

confidence: 99%

Physiome and Sasang Constitutional Medicine

et al. 2008

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Sasang Constitutional Medicine (SCM) is a traditional Korean form of medicine widely used in the clinical diagnosis and treatment of disease. This paper reviews the main aspects of SCM and "physiome" with emphasis on integrative and holistic characteristics. Methodological and physiological aspects of SCM are summarized with reference to existing studies. The main characteristics of SCM, such as the four physical constitutions and diagnostic methods, are introduced.Moreover, physiome and systems medicine are introduced as plausible candidates for integrative medicine and are compared to reductionism-based molecular biology. We also discuss the conceptual similarity of SCM with predictive, preventive, personalized, and participative (P4) medicine. It is emphasized that the integrative and creative combination of SCM and physiome will unlock a new era of holistic medicine.

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“…However, studies have consistently demonstrated that this simple framework is inefficient in addressing drug action in complex and multi-factorial disease systems. In such systems, limiting drug research to targeting single disease biomarkers is one of the main causes of drug failures in clinical trials 1, 2, 40 . Drug induced reprogramming of cellular responses is directed through metabolic reactions, which are regulated by signaling pathways enormously enriched in protein-protein interactions.…”

Section: Resultsmentioning

confidence: 99%

“…Regan-Fendt et al 66 recently developed a computational drug combination analysis using transcriptome data and disease specific root genes for malignant melanoma and successfully predicted vemurafenib and tretinoin as synergistic therapeutic combinations. Variants of this approach, for instance, modelling the active drug subnetworks using deep learning, could be applied to systematically predict combinations and side-effects for precision medicine applications in complex diseases 40, 45 .…”

Section: Discussionmentioning

confidence: 99%

A systems pharmacology approach to determine the mechanisms of action of pleiotropic natural products in breast cancer from transcriptome data

Odongo

Zergeroǧlu

Çakır

2020

Preprint

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7 Background 8 Plant-derived natural products possess poly-pharmacologic 9 mechanisms of action with good tolerability and thus are Results 1 The signalling pathways regulated by the pleiotropic effects of 2 Actein, Withaferin A, Indole-3-Carbinol and Compound 3 Kushen were found to be projected on a set of oncogenesis 4 processes at the transcriptomic level in different breast cancer 5 subtypes (triple negative, luminal A and HER2+). Notably, 6 these compounds indirectly regulated known oncogenes in the 7 different subtypes through their associated pathways in the 8 subnetworks.9

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Systems medicine in oncology

Cited by 11 publications

References 0 publications

Morphological Computation and Morphological Control: Steps Toward a Formal Theory and Applications

Morphological Computation and Morphological Control: Steps Toward a Formal Theory and Applications

Physiome and Sasang Constitutional Medicine

A systems pharmacology approach to determine the mechanisms of action of pleiotropic natural products in breast cancer from transcriptome data

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