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Computational analyses for cancer biology based on exhaustive experimental backgrounds
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作者 Jun Koseki Masamitsu Konno Hideshi Ishii 《Cancer Drug Resistance》 2019年第3期419-427,共9页
Antitumor drug therapy plays a very important role in cancer treatment.However,resistance to chemotherapy is a serious issue.Many studies have been conducted to understand and verify the cause of chemoresistance from ... Antitumor drug therapy plays a very important role in cancer treatment.However,resistance to chemotherapy is a serious issue.Many studies have been conducted to understand and verify the cause of chemoresistance from multiple points of view such as oncogenes,tumor suppressor genes,DNA mutations and repairs,autophagy,cancer stemness,and mitochondrial metabolism and alteration.Nowadays,not only medical data from hospitals but also public big data exist on internet websites.Consequently,the importance of computational science has vastly increased in biological and medical sciences.Using statistical or mathematical analyses of these medical data with conventional experiments,many researchers have recently shown that there is a strong relationship between the biological metabolism and chemoresistance for cancer therapy.For example,folate metabolism that mediates one-carbon metabolism and polyamine metabolism have garnered attention regarding their association with cancer.It has been suggested that these metabolisms may be involved in causing resistance to chemotherapy. 展开更多
关键词 In silico drug design trans-omics analysis computational analyses cancer biology
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