Editorial: Cancer systems biology [PDF]
Cancer has been a paradigmatic example of a complex disease. It is the second leading cause of death worldwide. Knowledge acquired on the mechanisms and potential causes underlying the origins and progression of cancer from single-scale studies have led ...
Jesús Espinal-Enríquez+3 more
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Precision medicine driven by cancer systems biology. [PDF]
Molecular insights from genome and systems biology are influencing how cancer is diagnosed and treated. We critically evaluate big data challenges in precision medicine.
Filipp FV.
europepmc +9 more sources
Mechanical and Systems Biology of Cancer [PDF]
Mechanics and biochemical signaling are both often deregulated in cancer, leading to increased cell invasiveness, proliferation, and survival. The dynamics and interactions of cytoskeletal components control basic mechanical properties, such as cell ...
Fabian Spill, Chris Bakal, Michael Mak
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Navigating Multi-Scale Cancer Systems Biology Towards Model-Driven Clinical Oncology and Its Applications in Personalized Therapeutics. [PDF]
Rapid advancements in high-throughput omics technologies and experimental protocols have led to the generation of vast amounts of biomolecular data on cancer that now populates several online databases and resources.
Gondal MN, Chaudhary SU.
europepmc +4 more sources
Cancer systems biology of TCGA SKCM: efficient detection of genomic drivers in melanoma. [PDF]
We characterized the mutational landscape of human skin cutaneous melanoma (SKCM) using data obtained from The Cancer Genome Atlas (TCGA) project. We analyzed next-generation sequencing data of somatic copy number alterations and somatic mutations in 303
Guan J, Gupta R, Filipp FV.
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An Introduction to the Mathematical Modeling in the Study of Cancer Systems Biology. [PDF]
Background: Frequently occurring in cancer are the aberrant alterations of regulatory onco-metabolites, various oncogenes/epigenetic stochasticity, and suppressor genes, as well as the deficient mismatch repair mechanism, chronic inflammation, or those ...
Alameddine AK, Conlin F, Binnall B.
europepmc +4 more sources
Mathematical and statistical modeling in cancer systems biology. [PDF]
Cancer is a major health problem with high mortality rates. In the post-genome era, investigators have access to massive amounts of rapidly accumulating high-throughput data in publicly available databases, some of which are exclusively devoted to ...
Blair RH, Trichler DL, Gaille DP.
europepmc +7 more sources
Accelerating cancer systems biology research through Semantic Web technology. [PDF]
Wang Z+4 more
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Integrative analysis and machine learning on cancer genomics data using the Cancer Systems Biology Database (CancerSysDB). [PDF]
Recent cancer genome studies on many human cancer types have relied on multiple molecular high-throughput technologies. Given the vast amount of data that has been generated, there are surprisingly few databases which facilitate access to these data and ...
Krempel R+5 more
europepmc +2 more sources
Conditional robustness analysis for fragility discovery and target identification in biochemical networks and in cancer systems biology. [PDF]
BackgroundThe study of cancer therapy is a key issue in the field of oncology research and the development of target therapies is one of the main problems currently under investigation.
Bianconi F+5 more
europepmc +2 more sources