Drug Repositioning in Cancer
نویسنده
چکیده
The development of new therapeutic agents, in any kind of disease, requires either long time or high costs; indeed 10 15 years of research are required to market a drug, resulting in an overall cost of about 1.8 billion dollars [1]. In addition, drug development in oncology is very challenging due to cancer biological complexity, actually comprising several subtypes of diseases carrying different molecular features. Despite over the last decades a high number of drugs (cytotoxic, targeted agents and emergent immunotherapeutic approaches) have been developed [2], on average just one in fifteen drugs with an oncology indication entering phase I clinical trials is finally approved by the FDA [3]. In order to overcome these issues, the strategy of “drug repositioning” aims to apply “old” and well known drugs for the treatment of certain diseases (other than cancer) to new indications, thus allowing a good knowledge on their safety, pharmacology and toxicology. New effective cancer therapies may be ready in a cost-effective and fast way. The best-known example of successful drug repositioning in cancer is thalidomide. This drug was employed in 1950s to treat morning sickness and in 1961 discontinued to cause serious birth defects. Its anti-cancer properties were found later, from the observation made by Folkman and colleagues in 1994 that thalidomide inhibited the angiogenesis inducted by fibroblast growth factor 2 (FGF2) in vivo [4]. In May 2006, the US FDA’s approved the use of thalidomide in combination with dexamethasone for the treatment of newly diagnosed multiple myeloma [5].
منابع مشابه
O-3: Drug Repositioning by Merging Gene Expression Data Analysis and Cheminformatics Target Prediction Approaches
The transcriptional responses of drug treatments combined with a protein target prediction algorithm was utilised to associate compounds to biological genomic space. This enabled us to predict efficacy of compounds in cMap and LINCS against 181 databases of diseases extracted from GEO. 18/30 of top drugs predicted for leukemia (e.g. Leflunomide and Etoposide) and breast cancer (e.g. Tamoxifen a...
متن کاملRecent Advances in Drug Repositioning for the Discovery of New Anticancer Drugs
Drug repositioning (also referred to as drug repurposing), the process of finding new uses of existing drugs, has been gaining popularity in recent years. The availability of several established clinical drug libraries and rapid advances in disease biology, genomics and bioinformatics has accelerated the pace of both activity-based and in silico drug repositioning. Drug repositioning has attrac...
متن کاملTeaching an old dog new tricks: drug repositioning in small cell lung cancer.
Jahchan and colleagues report the use of a biostatistical analysis to identify effective therapeutics for small cell lung cancer (SCLC). Their results reveal a new use for the tricyclic antidepressant imipramine in SCLC and shed light on the therapeutic potential of drug repositioning in cancer and other diseases.
متن کاملDrug Repositioning for Gynecologic Tumors: A New Therapeutic Strategy for Cancer
The goals of drug repositioning are to find a new pharmacological effect of a drug for which human safety and pharmacokinetics are established and to expand the therapeutic range of the drug to another disease. Such drug discovery can be performed at low cost and in the short term based on the results of previous clinical trials. New drugs for gynecologic tumors may be found by drug repositioni...
متن کاملRepurposing of drug candidates for treatment of skin cancer
Skin cancers are highly prevalent malignancies that affect millions of people worldwide. These include melanomas and nonmelanoma skin cancers. Melanomas are among the most dangerous cancers, while nonmelanoma skin cancers generally exhibit a more benign clinical pattern; however, they may sometimes be aggressive and metastatic. Melanomas typically appear in body regions exposed to the sun, alt...
متن کاملDiscovery and validation of the antimetastatic activity of citalopram in colorectal cancer
Inverse gene expression profiling was recently shown to help drug repositioning. We showed that this approach works best for cancer and predicted novel drug candidates that may reduce metastasis in colorectal cancer. Antimetastatic activity of our predicted candidate, citalopram, was validated in an orthotopic mouse model of metastatic colorectal cancer.
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2017