| Literature DB >> 34192364 |
Saiful Islam1, Shudong Wang1, Nikola Bowden2, Jennifer Martin2, Richard Head1.
Abstract
Repurposing the large arsenal of existing non-cancer drugs is an attractive proposition to expand the clinical pipelines for cancer therapeutics. The earlier successes in repurposing resulted primarily from serendipitous findings, but more recently, drug or target-centric systematic identification of repurposing opportunities continues to rise. Kinases are one of the most sought-after anti-cancer drug targets over the last three decades. There are many non-cancer approved drugs that can inhibit kinases as "off-targets" as well as many existing kinase inhibitors that can target new additional kinases in cancer. Identifying cancer-associated kinase inhibitors through mining commercial drug databases or new kinase targets for existing inhibitors through comprehensive kinome profiling can offer more effective trial-ready options to rapidly advance drugs for clinical validation. In this review, we argue that drug repurposing is an important approach in modern drug development for cancer therapeutics. We have summarized the advantages of repurposing, the rationale behind this approach together with key barriers and opportunities in cancer drug development. We have also included examples of non-cancer drugs that inhibit kinases or are associated with kinase signalling as a basis for their anti-cancer action.Entities:
Keywords: cancer; drug development; kinase; oncology; repurposing
Mesh:
Substances:
Year: 2021 PMID: 34192364 PMCID: PMC9292808 DOI: 10.1111/bcp.14964
Source DB: PubMed Journal: Br J Clin Pharmacol ISSN: 0306-5251 Impact factor: 3.716
FIGURE 1A summary of the consequences of carcinogenesis and complexity illustrating a potential role for the repurposing of existing therapeutics
Examples of repurposing non‐cancer drugs with kinase targets
| Drug name | Original indication | New indication (cancer) | Original mechanism (target) | Kinase target(s) | Highest development status | Reference |
|---|---|---|---|---|---|---|
| Thalidomide | Morning sickness | Multiple myeloma | TNF‐α | IkB | Approved |
|
|
| Type 2 diabetes | Prostate, breast, colorectal | AMPK |
| Phase III |
|
| Rapamycin | Immunosuppressant | Breast, prostate | mTOR signalling | mTOR signalling | Phase III |
|
|
| Rheumatoid arthritis | Prostate | DHODH | PDGFR, EGFR, FGFR | Phase III |
|
| Vesnarinone | Cardioprotective | Oral cancer | PDE 3 | VEGF | Preclinical |
|
|
| HIV | Various cancers | Protease |
| Phase II |
|
| Itraconazole | Fungal infections | Prostate, lung | 14‐α demethylase | mTOR, VEGRF2 | Phase II |
|
|
| Hepatitis C | AML, breast | RNA polymerase | AKT/mTOR signalling | Phase II |
|
| Adapalene | Acne | Colorectal | Retinoic acid receptor | CDK2 | Preclinical |
|
|
| Rheumatoid arthritis | Leukaemia | Thioredoxin reductase | PI3K/AKT/mTOR signalling | Phase II |
|
| Tigecycline | Antibiotic | Melanoma, Leaukaemia | 30S ribosomal subunit | CDK2 | Phase I |
|
| Fluspirilene | Antipsychotic | HCC, GBM | Dopamine D2 receptor | CDK2, STAT3 | Preclinical |
|
Abbreviations: TNF‐α, tumour necrosis factor‐α; AMPK, AMP‐activated protein kinase; mTOR, mammalian target of rapamycin; DHODH, dihydroorotate dehydrogenase; HER2, human epidermal receptor 2; PDGFR, platelet‐derived growth factor receptor; EGFR, epidermal growth factor receptor; FGFR, fibroblast growth factor receptor; VEGF, vascular endothelial growth factor; CDK2, cyclin‐dependent kinase 2; HCC, hepatocellular carcinoma; GBM, glioblastoma; STAT3, signal transducer and activator of transcription 3.
FIGURE 2Possible pathways for identifying repurposed candidate drugs that target kinases in cancer. Shown are the potential approaches for the repurposing of non‐kinase drugs to kinase targets and the repurposing of existing kinase drugs to new targets within the kinome
Examples of repurposing existing kinase inhibitors with new kinase targets
| Drug name | Original indication | New indication | Original kinase target | New kinase target | Development status | Reference |
|---|---|---|---|---|---|---|
|
| Chronic myeloid leukaemia | Gastrointestinal stromal tumours | BCR‐ABL | C‐kit, PDGFR | Approved |
|
| Cabozantinib | Medullary thyroid cancer, advanced renal cell carcinoma | FLT3‐ITD positive acute myeloid leukaemia | MET/VEGFR | FLT3‐ITD | Phase II |
|
| Golvatinib | Hepatocellular carcinoma, non‐small cell lung cancer | FLT3‐ITD positive acute myeloid leukaemia | c‐MET | FLT3‐ITD | Preclinical |
|
| Tozasertib | Various solid tumours | Chronic myeloid leaukaemia with ABL1(T3151) mutation | Aurora kinases | ABL1 (T3151) | Preclinical |
|
Abbreviations: BCR, breakpoint cluster region; VEGFR, vascular endothelial growth factor; FLT3‐ITD, fms‐like tyrosine kinase 3‐internal tandem duplication.
FIGURE 3A summary depicting the shift in focus with repurposing of existing drugs for new indications. The significance of the technical impacts with data generation and handling, contributing to technological scale as an approach to increase the portfolio of therapeutic agents for patients is illustrated