Biological Networks for Cancer Candidate Biomarkers Discovery.
Due to its extraordinary heterogeneity and complexity, cancer is often proposed as a model case of a systems biology disease or network disease. There is a critical need of effective biomarkers for cancer diagnosis and/or outcome prediction from system level analyses. Methods based on integrating omics data into networks have the potential to revolutionize the identification of cancer biomarkers. Deciphering the biological networks underlying cancer is undoubtedly important for understanding the molecular mechanisms of the disease and identifying effective biomarkers. In this review, the networks constructed for cancer biomarker discovery based on different omics level data are described and illustrated from recent advances in the field.
Center for Systems Biology, Soochow University, Suzhou, Jiangsu, China.
Wenying
W
Yan
Department of Electrical Engineering, Technician College of Taizhou, Taizhou, Jiangsu, China.
Wenjin
W
Xue
School of Chemistry, Biology and Material Engineering, Suzhou University of Science and Technology, Suzhou, China.
Jiajia
J
Chen
Center for Systems Biology, Soochow University, Suzhou, Jiangsu, China.
Guang
G
Hu
biomarker; cancer; network; omics