Editorial: Cancer systems biology [PDF]
Frontiers in Genetics, 2022 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
doaj +7 more sources
Mechanical and Systems Biology of Cancer [PDF]
Computational and Structural Biotechnology Journal, 2018 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
doaj +10 more sources
Precision medicine driven by cancer systems biology. [PDF]
Cancer Metastasis Rev, 2017 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 +3 more sources
Accelerating cancer systems biology research through Semantic Web technology. [PDF]
Wiley Interdiscip Rev Syst Biol Med, 2013 Wang Z +4 more
europepmc +4 more sources
Navigating Multi-Scale Cancer Systems Biology Towards Model-Driven Clinical Oncology and Its Applications in Personalized Therapeutics. [PDF]
Front Oncol, 2021 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 +2 more sources
CRA toolbox: software package for conditional robustness analysis of cancer systems biology models in MATLAB. [PDF]
BMC Bioinformatics, 2019 In cancer research, robustness of a complex biochemical network is one of the most relevant properties to investigate for the development of novel targeted therapies.
Bianconi F +3 more
europepmc +2 more sources
Integrative analysis and machine learning on cancer genomics data using the Cancer Systems Biology Database (CancerSysDB). [PDF]
BMC Bioinformatics, 2018 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
An Introduction to the Mathematical Modeling in the Study of Cancer Systems Biology. [PDF]
Cancer Inform, 2018 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 +2 more sources
Cancer systems biology of TCGA SKCM: efficient detection of genomic drivers in melanoma. [PDF]
Sci Rep, 2015 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.
europepmc +2 more sources
Conditional robustness analysis for fragility discovery and target identification in biochemical networks and in cancer systems biology. [PDF]
BMC Syst Biol, 2015 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