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Integrative network modeling approaches to personalized cancer medicine.


ABSTRACT: The ability to collect millions of molecular measurements from patients is a now a reality for clinical medicine. This reality has created the challenge of how to integrate these vast amounts of data into models that accurately predict complex pathophysiology and can translate this complexity into clinically actionable outputs. Integrative informatics and data-driven approaches provide a framework for analyzing large-scale datasets and combining them into multiscale models that can be used to determine the key drivers of disease and identify optimal therapies for treating tumors. In this perspective we discuss how an integrative modeling approach is being used to inform individual treatment decisions, highlighting a recent case report that illustrates the challenges and opportunities for personalized oncology.

SUBMITTER: Kidd BA 

PROVIDER: S-EPMC4806849 | biostudies-other | 2015 Jun

REPOSITORIES: biostudies-other

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Integrative network modeling approaches to personalized cancer medicine.

Kidd Brian A BA   Readhead Ben P BP   Eden Caroline C   Parekh Samir S   Dudley Joel T JT  

Personalized medicine 20150601 3


The ability to collect millions of molecular measurements from patients is a now a reality for clinical medicine. This reality has created the challenge of how to integrate these vast amounts of data into models that accurately predict complex pathophysiology and can translate this complexity into clinically actionable outputs. Integrative informatics and data-driven approaches provide a framework for analyzing large-scale datasets and combining them into multiscale models that can be used to de  ...[more]

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