| Literature DB >> 27646033 |
Junichi Ishida1, Masaaki Konishi2, Nicole Ebner2, Jochen Springer2.
Abstract
Research and development of new drugs requires both long time and high costs, whereas safety and tolerability profiles make the success rate of approval very low. Drug repurposing, applying known drugs and compounds to new indications, has been noted recently as a cost-effective and time-unconsuming way in developing new drugs, because they have already been proven safe in humans. In this review, we discuss drug repurposing of approved cardiovascular drugs, such as aspirin, beta-blockers, angiotensin converting enzyme inhibitors, angiotensin II receptor blockers, cardiac glycosides and statins. Regarding anti-tumor activities of these agents, a number of experimental studies have demonstrated promising pleiotropic properties, whereas all clinical trials have not shown expected results. In pathological conditions other than cancer, repurposing of cardiovascular drugs is also expanding. Numerous experimental studies have reported possibilities of drug repurposing in this field and some of them have been tried for new indications ('bench to bedside'), while unexpected results of clinical studies have given hints for drug repurposing and some unknown mechanisms of action have been demonstrated by experimental studies ('bedside to bench'). The future perspective of experimental and clinical studies using cardiovascular drugs are also discussed.Entities:
Keywords: Cardiovascular drugs; Drug repositioning; Drug repurposing; Pleiotropic properties; Second label indication
Mesh:
Substances:
Year: 2016 PMID: 27646033 PMCID: PMC5029061 DOI: 10.1186/s12967-016-1031-5
Source DB: PubMed Journal: J Transl Med ISSN: 1479-5876 Impact factor: 5.531
Fig. 1Putative mechanisms of action of low-dose aspirin in platelets and tumor cells in suppressing tumor growth. Low-dose aspirin exerts an inhibitory effect on platelet aggregation by suppressing production of TXA2 through inhibition of COX-1 in platelets. Thus, low-dose aspirin prevents platelets from binding to tumor cells, resulting in suppression of distant metastasis. On the other hand, PGE2, which is upregulated in colon cancer cells, is suppressed by low-dose aspirin, leading to inhibition of tumor growth and angiogenesis. COX-1 cyclooxygenase-1, COX-2 cyclooxygenase-2, PGE2 prostaglandin E2, TXA2 thromboxane A2
Anti-tumor effects of aspirin in recent meta-analyses
| Author (year) [reference] | Number of studies (number of patients) | Dose of aspirin (mg) | Type of cancer | Main findings |
|---|---|---|---|---|
| González-Pérez et al. (2003) [ | 4, 5 and 11 | Any | Esophageal, gastric and breast cancer | Aspirin reduced the incidence of esophageal cancer (RR 0·51, 95 % CI 0.38–0.69), gastric cancer (RR 0.73, 0.63–0.84) and breast cancer (RR 0.77, 0.69–0.86), derived from four, five and eleven studies respectively |
| Flossmann et al. (2007) [ | 2 (5061) | 300< | CRC | Aspirin reduced the incidence of CRC (HR 0.74, 95 % CI 0.56–0.97, p = 0.02) |
| Rothwell et al. (2010) [ | 5 | 75–300 | CRC | Low-dose aspirin reduced the 20-year incidence and mortality of CRC (incidence HR 0.75, 95 % CI 0.56–0.97, p = 0.02; mortality HR 0.61, 95 % CI 0.43–0.87, p = 0.005) |
| Rothwell et al. (2011) [ | 8 | 75< | Any | Regular aspirin use reduced cancer-related death (OR 0.79, 95 % CI 0.68–0.92, p = 0.003). Therapeutic effects increased with duration of aspirin use |
| Rothwell et al. (2012) [ | 5 | 75< | Any | Regular aspirin use reduced the risk of distant metastasis (HR 0.64, 95 % CI 0.48–0.84, p = 0.001) |
Fig. 2Putative mechanisms of action of beta-blockers in preventing tumor progression. Catecholamines are elevated under chronic stress and bind to beta-adrenoreceptors, resulting in activation of cAMP-PKA pathway and FAK, which accelerates tumor angiogenesis and invasion, and prevents cancer cells from apoptosis respectively. Beta-blockers blocks beta-adrenoreceptors, so that they are believed to suppress tumor growth and invasion. cAMP cyclic AMP, FAK protein kinase A, FAK focal adhesion kinase
Anti-tumor effects of beta-blockers in recent clinical studies
| Authors (year), reference | Number of patients taking beta-blockers | Type of cancer | Main findings |
|---|---|---|---|
| Fryzek et al. (2006) [ | NA | Breast cancer | The use of beta-blockers was not associated the risk of breast cancer (RR 1.07, 95 % CI 074–1.56) |
| Assimes et al. (2008) [ | 1788 | Any | Beta-blockers significantly reduced the risk of cancer (OR 0.9, 95 % CI 0.85–0.96) |
| Powe et al. (2010) [ | 43 | Breast cancer | Patients taking beta-blockers had a 57 % reduced risk of metastasis (Hazard ratio 0.43, 95 % CI 0.20–0.93) |
| Barron et al. (2011) [ | 70 | Breast cancer | Propranolol reduced cancer-related mortality (HR 0.19, 95 % CI 0.06–0.60) |
| Ganz et al. (2011) [ | 204 | Breast cancer | Beta-blocker usage was not associated with improved overall survival (HR 1.04, 95 % CI 0.72–1.51) |
| Lemeshow et al. (2011) [ | 275 | Melanoma | Beta-blockers reduced all-cause mortality (HR 0.81, 95 % CI 0.67–0.97) |
| Diaz et al. (2012) [ | 23 | Ovarian cancer | Beta-blockers improved overall survival (HR 0.54, 95 % CI 0.31–0.94, p = 0.02) |
| Wang et al. (2013) [ | 155 | Non-small cell lung carcinoma | Beta-blockers improved overall survival (HR 0.78, 95 % CI 0.63–0.97, p = 0.02) |
| Grytli et al. (2014) [ | 1115 | Prostate carcinoma | The use of beta-blockers was not associated with reduced all-cause mortality (HR 0.92, 95 % CI 0.83–1.02) |
| Choi et al. (2014) [ | 6717 | Any | Beta-blocker usage was associated with significantly improved overall survival (HR 0.79, 95 % CI 0.67–0.93, p = 0.004) |
Fig. 3Local RAS, ACE inhibitors and ARBS in tumor cells. In tumor cells, angiotensin II promotes VEGF production via AT1 receptor, resulting in increased angiogenesis. ACE inhibitors and ARBs attenuate local RAS and reduce VEGF-dependent angiogenic signals in cancer
Anti-tumor effects of ACE inhibitors or ARBs in recent clinical studies
| Authors (year), reference | Number of patients taking ACE inhibitors or ARBs | Medication | Type of cancer | Main findings |
|---|---|---|---|---|
| Ronquist et al. (2004) [ | 100 | ACE inhibitors | Prostate cancer | Current use of ACE inhibitors was not associated with decreased risk of prostate cancer (OR 0.9, 95 % CI 0.7–1.1) |
| Sjoberg et al. (2007) [ | 62 and 101 | ACE inhibitors | Esophageal and gastric cancer | Current use of ACE inhibitors did not decrease the risk of esophageal and gastric cancer |
| Sipahi et al. (2010) [ | 2510 | ARB | Any | Patients taking ARBs had a significantly increased risk of new cancer development (RR 1.08, 95 % CI 1.01–1.15; p = 0.016) |
| Pasternak et al. (2011) [ | 3954 | ARB | Any | ARB did not increase the risk of cancer (RR 0.99, 95 % CI 0.95–1.03) |
| The ARB Trialists Collaboration (2011) [ | 4549 | ARB | Any | There was no association between ARB usage and cancer incidence (OR 1.00, 95 % CI 0.95–1.04) |
Fig. 4Cardiac glycoside-induced apoptosis in tumor cells. Cardiac glycosides bind to Na+-K+-ATPase and decrease the membrane potential and increase intracellular Na+ and Ca++ in certain human cancer cell lines, resulting in activation of calcineurin and transcriptional upregulation of Fas ligand. Cardiac glycosides also suppressthe expression of nuclear factor-kappaB and inhibit DNA topoisomerase II. All of these activities induce apoptosis in human cancer cells
Relationship between cardiac glycosides and the incidence of cancer in recent clinical studies
| Authors (year), reference | Number of patients taking cardiac glycosides | Medication | Type of cancer | Main findings |
|---|---|---|---|---|
| Haux et al. (2001) [ | 9271 | Digitoxin | Any | Digitoxin use increased the risk of cancer (SIR 1.27, 95 % CI 1.18–1.37). Plasma digitoxin levels were negatively correlated with the risk of cancer |
| Ahern et al. (2008) [ | 2890 | Digoxin | Breast cancer | Digoxin use was associated with the increased risk of breast cancer (OR 1.30, 95 % CI 1.14–1.48). The risk was positively correlated with the duration of digoxin exposure (OR for 7–18 years of digoxin use 1.39, 95 % CI 1.10–1.74) |
| Biggar et al. (2011) [ | 104,648 | Digoxin | Breast cancer | Current digoxin use increased the risk of breast cancer (RR, 1.39; 95 % CI, 1.32–1.46). In digoxin users, the risk was higher for ER-positive breast cancers (RR, 1.35; 95 % CI, 1.26–1.45) than for ER-negative breast cancers (RR, 1.20; 95 % CI, 1.03–1.40) |
| Biggar et al. (2012) [ | 104,648 | Digoxin | Corpus uteri cancer | Current digoxin use increased the risk of corpus uteri cancer (RR 1.48, 95 % CI 1.32–1.65). (RR 1.06, 95 % CI 0.92–1.22) (RR 1.00, 95 % CI 0.79–1.25) |
| Biggar et al. (2012) [ | 104,648 | Digoxin | Ovary cancer | Current digoxin use increased the risk of ovary cancer (RR 1.06, 95 % CI 0.92–1.22) |
| Biggar et al. (2012) [ | 104,648 | Digoxin | Cervix cancer | Current digoxin use increased the risk of cervix cancer (RR 1.00, 95 % CI 0.79–1.25) |
| Platz et al. (2011) [ | 936 | Digoxin | Prostate cancer | Current digoxin use decreased the risk of prostate cancer (RR 0.76, 95 % CI 0.61–0.95) |
Fig. 5Effects of statins on mevalonate pathway in tumor cells. Downstream products in the mevalonate pathway such as geranylgeranyl pyrophosphate (GGPP) and farnesyl pyrophosphate (FPP) are substrates in protein prenylation. By inhibiting the formation of GGPP and FPP, statins exert anti-proliferatic activity in tumor cells
Effect of statins on cancer in recent meta-analyses
| Authors (year), reference | Number of studies | Type of cancer | Main findings |
|---|---|---|---|
| Bansal et al. (2012) [ | 15 cohort and 12 case–control studies | Prostate cancer | Statins decreased the risk of prostate cancer (RR 0.93, 95 % CI 0.30–0.86) and advanced prostate cancer (RR 0.80, 95 % CI 0.70–0.90) |
| Singh et al. (2013) [ | 13 studies (including a post hoc analysis of 22 RCTs) | Esophageal cancer | Statins reduced the risk of esophageal cancer (OR 0.72 95 % CI 0.60–0.86) |
| Wu et al. (2013) [ | 3 post hoc analyses of 26 RCTs and 8 observational studies | Gastric cancer | Statin use was associated with a decreased risk of gastric cancer (RR 0.73, 95 % CI 0.58–0.93) |
| Emberson et al. (2012) [ | 27 RCTs | Any | Statins did not reduce the incidence of, or mortality from, any type of cancer (RR 1.00, 95 % CI 0.96–1.05 for incidence; RR 1.00, 95 % CI 0.93–1.08) |
| Tan et al. (2013) [ | 5 RCTs, 7 cohort and 7 case–control studies | Lung cancer | Statin did not decrease the risk of lung cancer either among RCTs (RR 0.91, 95 % CI 0.76–1.09), cohort studies (RR 0.94, 95 % CI 0.82–1.07) and case–control studies (RR 0.82, 95 % CI 0.57–1.16) |
| Zhang et al. (2014) [ | 29 studies (including a post hoc analysis of 8 RCTs) | Skin cancer | Statins did not reduce the risk of skin cancer among melanoma (RR 0.94, 95 % CI 0.85–1.04) or non-melanoma skin cancer (RR 1.03, 95 % CI 0.90–1.19) |