Results 61 to 70 of about 1,583,856 (340)
Parenclitic network analysis of methylation data for cancer identification [PDF]
PLoS ONE 12(1): e0169661 (2017), 2015 We make use of ideas from the theory of complex networks to implement a machine learning classification of human DNA methylation data, that carry signatures of cancer development. The data were obtained from patients with various kinds of cancers and represented as parenclictic networks, wherein nodes correspond to genes, and edges are weighted ...
arxiv +1 more source
A Roadmap of Cancer Systems Biology
Nature Precedings, 2010 AbstractWhat is cancer systems biology? Why should we conduct systems biology research in cancer? What is the relationships between systems biology and personalized medicine? How do we conduct cancer systems biology research? This paper illustrates strategies, procedures and computational techniques for the study of cancer systems biology by focusing ...
openaire +3 more sources
Omics/systems biology and cancer cachexia
Seminars in Cell & Developmental Biology, 2016 Cancer cachexia is a complex syndrome generated by interaction between the host and tumour cells with a background of treatment effects and toxicity. The complexity of the physiological pathways likely involved in cancer cachexia necessitates a holistic view of the relevant biology.
Gallagher, Iain J +4 more
openaire +4 more sources
Cellular and molecular effects of PNCK, a non-canonical kinase target in renal cell carcinoma
iScience, 2022 Summary: Renal cell carcinoma (RCC) is a fatal disease when advanced. While immunotherapy and tyrosine kinase inhibitor-based combinations are associated with improved survival, the majority of patients eventually succumb to the disease.
Derek J. Essegian +4 more
doaj
A review of imaging techniques for systems biology [PDF]
, 2008 This paper presents a review of imaging techniques and of their utility in system biology. During the last decade systems biology has matured into a distinct field and imaging has been increasingly used to enable the interplay of experimental and ...
Duan, Qi +6 more
core +4 more sources
Cancer systems biology in the genome sequencing era: Part 2, evolutionary dynamics of tumor clonal networks and drug resistance [PDF]
, 2014 A tumor often consists of multiple cell subpopulations (clones). Current chemo-treatments often target one clone of a tumor. Although the drug kills that clone, other clones overtake it and the tumor reoccurs. Genome sequencing and computational analysis allows to computational dissection of clones from tumors, while singe-cell genome sequencing ...
arxiv +1 more source
FEBS Letters, EarlyView.Metabolic dysfunction‐associated steatotic liver disease (MASLD) affects nearly one‐third of the global population and poses a significant risk of progression to cirrhosis or liver cancer. Here, we discuss the roles of hepatic dendritic cell subtypes in MASLD, highlighting their distinct contributions to disease initiation and progression, and their ...
Camilla Klaimi +3 more
wiley +1 more source
Nanotechnology and cancer [PDF]
, 2008 The biological picture of cancer is rapidly advancing from models built from phenomenological descriptions to network models derived from systems biology, which can capture the evolving pathophysiology of the disease at the molecular level.
Davis, Mark E., Heath, James R.
core +2 more sources
Nature Communications, 2016 Phenotypic and genetic intra-tumor heterogeneity have an important role in cancer progression and therapeutic resistance. Here, the authors show that phenotypically variable tumor subpopulations exhibit higher metastatic potential and display enhanced ...
Alexander Nguyen +3 more
doaj +1 more source
Puzzles in modern biology. II. Language, cancer and the recursive processes of evolutionary innovation [PDF]
F1000Research 5:2089 (2016), 2016 Human language emerged abruptly. Diverse body forms evolved suddenly. Seed-bearing plants spread rapidly. How do complex evolutionary innovations arise so quickly? Resolving alternative claims remains difficult. The great events of the past happened a long time ago. Cancer provides a model to study evolutionary innovation.
arxiv +1 more source