TY - JOUR
T1 - Computational systems biology approaches to anti-angiogenic cancer therapeutics
AU - Finley, Stacey D.
AU - Chu, Liang Hui
AU - Popel, Aleksander S.
N1 - Publisher Copyright:
© 2014 Elsevier Ltd.
PY - 2015/2
Y1 - 2015/2
N2 - Angiogenesis is an exquisitely regulated process that is required for physiological processes and is also important in numerous diseases. Tumors utilize angiogenesis to generate the vascular network needed to supply the cancer cells with nutrients and oxygen, and many cancer drugs aim to inhibit tumor angiogenesis. Anti-angiogenic therapy involves inhibiting multiple cell types, molecular targets, and intracellular signaling pathways. Computational tools are useful in guiding treatment strategies, predicting the response to treatment, and identifying new targets of interest. Here, we describe progress that has been made in applying mathematical modeling and bioinformatics approaches to study anti-angiogenic therapeutics in cancer.
AB - Angiogenesis is an exquisitely regulated process that is required for physiological processes and is also important in numerous diseases. Tumors utilize angiogenesis to generate the vascular network needed to supply the cancer cells with nutrients and oxygen, and many cancer drugs aim to inhibit tumor angiogenesis. Anti-angiogenic therapy involves inhibiting multiple cell types, molecular targets, and intracellular signaling pathways. Computational tools are useful in guiding treatment strategies, predicting the response to treatment, and identifying new targets of interest. Here, we describe progress that has been made in applying mathematical modeling and bioinformatics approaches to study anti-angiogenic therapeutics in cancer.
UR - http://www.scopus.com/inward/record.url?scp=84922909177&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84922909177&partnerID=8YFLogxK
U2 - 10.1016/j.drudis.2014.09.026
DO - 10.1016/j.drudis.2014.09.026
M3 - Review article
C2 - 25286370
AN - SCOPUS:84922909177
SN - 1359-6446
VL - 20
SP - 187
EP - 197
JO - Drug Discovery Today
JF - Drug Discovery Today
IS - 2
ER -