Buformin inhibits the stemness of erbB-2-overexpressing breast cancer cells and premalignant mammary tissues of MMTV-erbB-2 transgenic mice.

J Exp Clin Cancer Res. 2017 Feb 13;36(1):28

Authors: Parris AB, Zhao Q, Howard EW, Zhao M, Ma Z, Yang X

Abstract
BACKGROUND: Metformin, an FDA-approved drug for the treatment of Type II diabetes, has emerged as a promising anti-cancer agent. Other biguanide analogs, including buformin and phenformin, are suggested to have similar properties. Although buformin was shown to reduce mammary tumor burden in carcinogen models, the anti-cancer effects of buformin on different breast cancer subtypes and the underlying mechanisms remain unclear. Therefore, we aimed to investigate the effects of buformin on erbB-2-overexpressing breast cancer with in vitro and in vivo models.
METHODS: MTT, cell cycle, clonogenic/CFC, ALDEFLUOR, tumorsphere, and Western blot analyses were used to determine the effects of buformin on cell growth, stem cell populations, stem cell-like properties, and signaling pathways in SKBR3 and BT474 erbB-2-overexpressing breast cancer cell lines. A syngeneic tumor cell transplantation model inoculating MMTV-erbB-2 mice with 78617 mouse mammary tumor cells was used to study the effects of buformin (1.2 g buformin/kg chow) on tumor growth in vivo. MMTV-erbB-2 mice were also fed buformin for 10 weeks, followed by analysis of premalignant mammary tissues for changes in morphological development, mammary epithelial cell (MEC) populations, and signaling pathways.
RESULTS: Buformin significantly inhibited SKBR3 and BT474 cell growth, and in vivo activity was demonstrated by considerable growth inhibition of syngeneic tumors derived from MMTV-erbB-2 mice. In particular, buformin suppressed stem cell populations and self-renewal in vitro, which was associated with inhibited receptor tyrosine kinase (RTK) and mTOR signaling. Consistent with in vitro data, buformin suppressed mammary morphogenesis and reduced cell proliferation in MMTV-erbB-2 mice. Importantly, buformin decreased MEC populations enriched with mammary reconstitution units (MRUs) and tumor-initiating cells (TICs) from MMTV-erbB-2 mice, as supported by impaired clonogenic and mammosphere formation in primary MECs. We further demonstrated that buformin-mediated in vivo inhibition of MEC stemness is associated with suppressed activation of mTOR, RTK, ER, and β-catenin signaling pathways.
CONCLUSIONS: Overall, our results provide evidence for buformin as an effective anti-cancer drug that selectively targets TICs, and present a novel prevention and/or treatment strategy for patients who are genetically predisposed to erbB-2-overexpressing breast cancer.

PMID: 28193239 [PubMed - indexed for MEDLINE]

Colorectal cancer Consensus Molecular Subtypes translated to preclinical models uncover potentially targetable cancer-cell dependencies.

Clin Cancer Res. 2017 Dec 14;:

Authors: Sveen A, Bruun J, Eide PW, Eilertsen IA, Ramirez L, Murumägi A, Arjama MA, Danielsen SA, Kryeziu K, Elez E, Tabernero J, Guinney J, Palmer HG, Nesbakken A, Kallioniemi O, Dienstmann R, Lothe RA

Abstract
PURPOSE: Response to standard oncological treatment is limited in colorectal cancer (CRC). The gene expression-based consensus molecular subtypes (CMS) provide a new paradigm for stratified treatment and drug repurposing, however, drug discovery is currently limited by the lack of translation of CMS to preclinical models.
EXPERIMENTAL DESIGN: We analyzed CMS in primary CRCs, cell lines and patient-derived xenografts (PDXs). For classification of preclinical models, we developed an optimized classifier enriched for cancer cell-intrinsic gene expression signals, and performed high-throughput in vitro drug screening (n=459 drugs) to analyze subtype-specific drug sensitivities.
RESULTS: The distinct molecular and clinicopathological characteristics of each CMS group were validated in a single-hospital series of 409 primary CRCs. The new, cancer cell-adapted classifier was found to perform well in primary tumors, and applied to a panel of 148 cell lines and 32 PDXs, these CRC models were shown to recapitulate the biology of the CMS groups. Drug screening of 33 cell lines demonstrated subtype-dependent response profiles, confirming strong response to EGFR and HER2 inhibitors in the CMS2 epithelial/canonical group, and revealing strong sensitivity to HSP90 inhibitors in cells with the CMS1 microsatellite instability/immune and CMS4 mesenchymal phenotypes. This association was validated in vitro in additional CMS-predicted cell lines. Combination treatment with 5-fluorouracil and luminespib showed potential to alleviate chemoresistance in a CMS4 PDX model, an effect not seen in a chemosensitive CMS2 PDX model.
CONCLUSIONS: We provide translation of CMS classification to preclinical models and uncover a potential for targeted treatment repurposing in the chemoresistant CMS4 group.

PMID: 29242316 [PubMed - as supplied by publisher]

Exploiting the therapeutic potential of ready-to-use drugs: repurposing antibiotics against amyloid aggregation in neurodegenerative diseases.

Prog Neurobiol. 2017 Dec 11;:

Authors: Socias SB, Gonzalez-Lizarraga F, Avila CL, Vera C, Acuña L, Sepulveda-Diaz JE, Del-Bel E, Raisman-Vozari R, Chehin RN

Abstract
Neurodegenerative diseases are chronic and progressive disorders that affect specific regions of the brain, causing gradual disability and suffering that results in a complete inability of patients to perform daily functions. Amyloid aggregation of specific proteins is the most common biological event that is responsible for neuronal death and neurodegeneration in various neurodegenerative diseases. Therapeutic agents capable of interfering with the abnormal aggregation are required, but traditional drug discovery has fallen short. The exploration of new uses for approved drugs provides a useful alternative to fill the gap between the increasing incidence of neurodegenerative diseases and the long-term assessment of classical drug discovery technologies. Drug re-profiling is currently the quickest possible transition from bench to bedside. In this way, experimental evidence shows that some antibiotic compounds exert neuroprotective action through anti-aggregating activity on disease-associated proteins. The finding that many antibiotics can cross the blood-brain barrier and have been used for several decades without serious toxic effects makes them excellent candidates for therapeutic switching towards neurological disorders. The present review is, to our knowledge, the first extensive evaluation and analysis of the anti-amyloidogenic effect of different antibiotics on well-known disease-associated proteins. In addition, we propose a common structural signature derived from the antiaggregant antibiotic molecules that could be relevant to rational drug discovery.

PMID: 29241812 [PubMed - as supplied by publisher]

Hydroquinidine Prevents Life-Threatening Arrhythmic Events in Patients With Short QT Syndrome.

J Am Coll Cardiol. 2017 Dec 19;70(24):3010-3015

Authors: Mazzanti A, Maragna R, Vacanti G, Kostopoulou A, Marino M, Monteforte N, Bloise R, Underwood K, Tibollo V, Pagan E, Napolitano C, Bellazzi R, Bagnardi V, Priori SG

Abstract
BACKGROUND: Short QT syndrome (SQTS) is a rare and life-threatening arrhythmogenic syndrome characterized by abbreviated repolarization. Hydroquinidine (HQ) prolongs the QT interval in SQTS patients, although whether it reduces cardiac events is currently unknown.
OBJECTIVES: This study investigated whether long-term treatment with HQ reduces the occurrence of life-threatening arrhythmic events (LAE) (cardiac arrest or sudden cardiac death) in SQTS patients.
METHODS: In this cohort study on consecutive SQTS patients, 2 analyses were performed: 1) a matched-period analysis for the occurrence of LAE in 17 SQTS patients who received long-term HQ; and 2) a comparison of the annual incidence of LAE off- and on-HQ in 16 SQTS patients who survived a cardiac arrest.
RESULTS: A total of 17 patients (82% male, age 29 ± 3 years, QTc before treatment 331 ± 3 ms) received HQ therapy (584 ± 53 mg/day). Therapy was stopped in 2 cases (12%) due to gastrointestinal intolerance, and 15 patients continued treatment for 6 ± 1 year. QTc prolongation was observed in all patients (by 60 ± 6 ms; p < 0.001). We compared the occurrence of LAE during 6 ± 1 years before and after HQ, observing that patients on HQ experienced a reduction in both the rate of LAE from 40% to 0% (p = 0.03) and the number of LAE per patient from 0.73 ± 0.3 to 0 (p = 0.026). Furthermore, the annual rate of LAE in the 16 patients with a previous cardiac arrest dropped from 12% before HQ to 0 on therapy (p = 0.028).
CONCLUSIONS: We demonstrated for the first time that treatment with HQ was associated with a lower incidence of LAE in SQTS patients. These data point to the importance that quinidine, that in several countries has been removed from the market, remains available worldwide for patients with SQTS. In the present study, therapy with HQ has been proven to be safe, with a relatively low rate of side effects.

PMID: 29241489 [PubMed - in process]

Drug Repurposing for the Treatment of Acute Myeloid Leukemia.

Front Med (Lausanne). 2017;4:211

Authors: Andresen V, Gjertsen BT

Abstract
Acute myeloid leukemia (AML) is a heterogeneous disease characterized by the accumulation of immature myeloid progenitor cells in the bone marrow, compromising of normal blood cell production and ultimately resulting in bone marrow failure. With a 20% overall survival rate at 5 years and 50% in the 18- to 65-year-old age group, new medicines are needed. It is proposed that development of repurposed drugs may be a part of the new therapy needed. AML is subdivided into recurrent molecular entities based on molecular genetics increasingly accessible for precision medicine. Novel therapy developments form a basis for novel multimodality therapy and include liposomal daunorubicin/cytarabine, broad or FLT3-specific tyrosine kinase inhibitors, Bcl-2 family inhibitors, selective inhibitors of nuclear export, metabolic inhibitors, and demethylating agents. The use of non-transplant immunotherapy is in early development in AML with the exceptional re-approval of a toxin-conjugated anti-CD33. However, the full potential of small molecule inhibitors and modalities like immunological checkpoint inhibitors, immunostimulatory small molecules, and CAR-T cell therapy is unknown. Some novel therapeutics will certainly benefit AML patient subgroups; however, due to high cost, more affordable alternatives are needed globally. Also the heterogeneity of AML will likely demand a broader repertoire of therapeutic molecules. Drug repurposing or repositioning represent a source for potential therapeutics with well-known toxicity profiles and reasonable prices. This implies that biomarkers of response need to accompany the development of antileukemic therapies for sharply defined patient subgroups. We will illustrate repurposing in AML with selected examples and discuss some experimental and regulatory limitations that may obstruct this development.

PMID: 29238707 [PubMed]

Identification of Clinically Approved Drugs Indacaterol and Canagliflozin for Repurposing to Treat Epidermal Growth Factor Tyrosine Kinase Inhibitor-Resistant Lung Cancer.

Front Oncol. 2017;7:288

Authors: Li H, Tong CW, Leung Y, Wong MH, To KK, Leung KS

Abstract
In advanced lung cancer, epidermal growth factor tyrosine kinase inhibitors (EGFR TKIs) have extraordinary clinical efficacy. However, their usefulness is severely compromised by drug resistance mediated by various mechanisms, the most important of which is the secondary EGFR T790M mutation. The mutation blocks the binding of EGFR TKIs to the receptor kinase, thereby abolishing the therapeutic efficacy. In this study, we used our free and open-source protein-ligand docking software idock to screen worldwide approved small-molecule drugs against EGFR T790M. The computationally selected drug candidates were evaluated in vitro in resistant non-small cell lung cancer (NSCLC) cell lines. The specificity of the drugs toward the mutant EGFR was demonstrated by cell-free kinase inhibition assay. The inhibition of EGFR kinase activity and its downstream signaling pathways in NSCLC cells was shown by immunoblot analysis. The positive hints were revealed to be indacaterol, canagliflozin, and cis-flupenthixol, all of which were shown to induce apoptosis in NSCLC cells harboring the EGFR T790M mutation. Moreover, the combination of indacaterol with gefitinib was also found to produce synergistic anticancer effect in NSCLC cells bearing EGFR T790M. The observed synergistic effect was likely contributed by the enhanced inhibition of EGFR and its downstream signaling molecules.

PMID: 29238696 [PubMed]

eRepo-ORP: Exploring the opportunity space to combat orphan diseases with existing drugs.

J Mol Biol. 2017 Dec 10;:

Authors: Brylinski M, Naderi M, Govindaraj RG, Lemoine J

Abstract
About 7000 rare, or orphan, diseases affect more than 350 million people worldwide. Although these conditions collectively pose significant health care problems, drug companies seldom develop drugs for orphan diseases due to extremely limited individual markets. Consequently, developing new treatments for often life-threatening orphan diseases is primarily contingent on financial incentives from governments, special research grants, and private philanthropy. Computer-aided drug repositioning is a cheaper and faster alternative to traditional drug discovery offering a promising venue for orphan drug research. Here, we present eRepo-ORP, a comprehensive resource constructed by a large-scale repositioning of existing drugs to orphan diseases with a collection of structural bioinformatics tools, including eThread, eFindSite and eMatchSite. Specifically, a systematic exploration of 320,856 possible links between known drugs in DrugBank and orphan proteins obtained from Orphanet reveals as many as 18,145 candidates for repurposing. In order to illustrate how potential therapeutics for rare diseases can be identified with eRepo-ORP, we discuss the repositioning of a kinase inhibitor for Ras-associated autoimmune leukoproliferative disease. The eRepo-ORP dataset is available through the Open Science Framework at https://osf.io/qdjup/.

PMID: 29237557 [PubMed - as supplied by publisher]

8 new pubmed citations were retrieved for your search. Click on the search hyperlink below to display the complete search results:

"drug repositioning" OR "drug repurposing"

These pubmed results were generated on 2017/12/14

PubMed comprises more than millions of citations for biomedical literature from MEDLINE, life science journals, and online books. Citations may include links to full-text content from PubMed Central and publisher web sites.

8 new pubmed citations were retrieved for your search. Click on the search hyperlink below to display the complete search results:

"drug repositioning" OR "drug repurposing"

These pubmed results were generated on 2017/12/14

PubMed comprises more than millions of citations for biomedical literature from MEDLINE, life science journals, and online books. Citations may include links to full-text content from PubMed Central and publisher web sites.

Structure-based identification of a NEDD8-activating enzyme inhibitor via drug repurposing.

Eur J Med Chem. 2017 Dec 06;143:1021-1027

Authors: Wu KJ, Zhong HJ, Li G, Liu C, Wang HD, Ma DL, Leung CH

Abstract
NEDD8-activating enzyme (NAE) is an essential player of the NEDD8 conjugation pathway that regulates protein degradation. Meanwhile, drug repurposing is a cost-efficient strategy to identify new therapeutic uses for existing scaffolds. In this report, mitoxantrone (1) was repurposed as an inhibitor of NAE by virtual screening of an FDA-approved drug database. Compound 1 inhibited NAE activity in cell-free and cell-based systems with high selectivity and was competitive with ATP. Furthermore, compound 1 induced apoptosis of colorectal adenocarcinoma cancer cells through inhibiting the degradation of the neddylation substrate p53.

PMID: 29232579 [PubMed - as supplied by publisher]

Memantine induces apoptosis and inhibits cell cycle progression in LNCaP prostate cancer cells.

Hum Exp Toxicol. 2017 Jan 01;:960327117747025

Authors: Albayrak G, Konac E, Dikmen AU, Bilen CY

Abstract
Deregulated cancer cell metabolism plays an important role in cancer progression. Cancer cell metabolism has been in the centre of attention in therapeutical cancer cell targeting. Repurposed chemical agents, such as metformin and aspirin, have been studied extensively as preventive and therapeutic agents. Metformin is Food and Drug administration (FDA)-approved antidiabetic drug cheaper than other chemotherapeutic agents that were shown to have anticancer effects. Memantine is an FDA-approved Alzheimer's drug. Drug repositioning studies offer wide range of benefits, such as reduced time, cost and risk over de novo drug discovery. Therefore, we aimed to target glucose and glutamine metabolism in androgen-dependent LNCaP cells by using metformin and memantine and investigate these agents' effects on prostate cancer cell proliferation in vitro. We evaluated the effects of metformin and memantine on the protein expression levels of genes that play significant roles in apoptosis and cell cycle progression (Casp3, Casp9, Bcl-2, Survivin, Bax, c-Myc, HIF1A, CCND1, CDK4 and GAPDH) by Western blotting. Alzheimer's drug memantine exerted cytotoxic effects at 0.25 mM and metformin at 2.5 mM. We identified for the first time that memantine exerts antineoplastic activity (0.25 mM) by triggering Bax-dependent pathway of apoptosis. In addition to that both molecules have shown similar patterns on pro- and anti-apoptotic protein expression levels, such as Bcl-2, Casp3, Survivin and Bax. Our preclinic results indicate that memantine might be used as a new repositioned drug in cancer treatment. Beyond targeting glucose metabolism, glutamine metabolism also holds great promise for a potential treatment option.

PMID: 29226720 [PubMed - as supplied by publisher]

Repurposing Drugs in Oncology (ReDO)-chloroquine and hydroxychloroquine as anti-cancer agents.

Ecancermedicalscience. 2017;11:781

Authors: Verbaanderd C, Maes H, Schaaf MB, Sukhatme VP, Pantziarka P, Sukhatme V, Agostinis P, Bouche G

Abstract
Chloroquine (CQ) and hydroxychloroquine (HCQ) are well-known 4-aminoquinoline antimalarial agents. Scientific evidence also supports the use of CQ and HCQ in the treatment of cancer. Overall, preclinical studies support CQ and HCQ use in anti-cancer therapy, especially in combination with conventional anti-cancer treatments since they are able to sensitise tumour cells to a variety of drugs, potentiating the therapeutic activity. Thus far, clinical results are mostly in favour of the repurposing of CQ. However, over 30 clinical studies are still evaluating the activity of both CQ and HCQ in different cancer types and in combination with various standard treatments. Interestingly, CQ and HCQ exert effects both on cancer cells and on the tumour microenvironment. In addition to inhibition of the autophagic flux, which is the most studied anti-cancer effect of CQ and HCQ, these drugs affect the Toll-like receptor 9, p53 and CXCR4-CXCL12 pathway in cancer cells. In the tumour stroma, CQ was shown to affect the tumour vasculature, cancer-associated fibroblasts and the immune system. The evidence reviewed in this paper indicates that both CQ and HCQ deserve further clinical investigations in several cancer types. Special attention about the drug (CQ versus HCQ), the dose and the schedule of administration should be taken in the design of new trials.

PMID: 29225688 [PubMed]

Diffusion mapping of drug targets on disease signaling network elements reveals drug combination strategies.

Pac Symp Biocomput. 2018;23:92-103

Authors: Xu J, Regan-Fendt K, Deng S, Carson WE, Payne PRO, Li F

Abstract
The emergence of drug resistance to traditional chemotherapy and newer targeted therapies in cancer patients is a major clinical challenge. Reactivation of the same or compensatory signaling pathways is a common class of drug resistance mechanisms. Employing drug combinations that inhibit multiple modules of reactivated signaling pathways is a promising strategy to overcome and prevent the onset of drug resistance. However, with thousands of available FDA-approved and investigational compounds, it is infeasible to experimentally screen millions of possible drug combinations with limited resources. Therefore, computational approaches are needed to constrain the search space and prioritize synergistic drug combinations for preclinical studies. In this study, we propose a novel approach for predicting drug combinations through investigating potential effects of drug targets on disease signaling network. We first construct a disease signaling network by integrating gene expression data with disease-associated driver genes. Individual drugs that can partially perturb the disease signaling network are then selected based on a drug-disease network "impact matrix", which is calculated using network diffusion distance from drug targets to signaling network elements. The selected drugs are subsequently clustered into communities (subgroups), which are proposed to share similar mechanisms of action. Finally, drug combinations are ranked according to maximal impact on signaling sub-networks from distinct mechanism-based communities. Our method is advantageous compared to other approaches in that it does not require large amounts drug dose response data, drug-induced "omics" profiles or clinical efficacy data, which are not often readily available. We validate our approach using a BRAF-mutant melanoma signaling network and combinatorial in vitro drug screening data, and report drug combinations with diverse mechanisms of action and opportunities for drug repositioning.

PMID: 29218872 [PubMed - in process]

Large-scale integration of heterogeneous pharmacogenomic data for identifying drug mechanism of action.

Pac Symp Biocomput. 2018;23:44-55

Authors: Luo Y, Wang S, Xiao J, Peng J

Abstract
A variety of large-scale pharmacogenomic data, such as perturbation experiments and sensitivity profiles, enable the systematical identification of drug mechanism of actions (MoAs), which is a crucial task in the era of precision medicine. However, integrating these complementary pharmacogenomic datasets is inherently challenging due to the wild heterogeneity, high-dimensionality and noisy nature of these datasets. In this work, we develop Mania, a novel method for the scalable integration of large-scale pharmacogenomic data. Mania first constructs a drug-drug similarity network through integrating multiple heterogeneous data sources, including drug sensitivity, drug chemical structure, and perturbation assays. It then learns a compact vector representation for each drug to simultaneously encode its structural and pharmacogenomic properties. Extensive experiments demonstrate that Mania achieves substantially improved performance in both MoAs and targets prediction, compared to predictions based on individual data sources as well as a state-of-the-art integrative method. Moreover, Mania identifies drugs that target frequently mutated cancer genes, which provides novel insights into drug repurposing.

PMID: 29218868 [PubMed - in process]

Cell-specific prediction and application of drug-induced gene expression profiles.

Pac Symp Biocomput. 2018;23:32-43

Authors: Hodos R, Zhang P, Lee HC, Duan Q, Wang Z, Clark NR, Ma'ayan A, Wang F, Kidd B, Hu J, Sontag D, Dudley J

Abstract
Gene expression profiling of in vitro drug perturbations is useful for many biomedical discovery applications including drug repurposing and elucidation of drug mechanisms. However, limited data availability across cell types has hindered our capacity to leverage or explore the cell-specificity of these perturbations. While recent efforts have generated a large number of drug perturbation profiles across a variety of human cell types, many gaps remain in this combinatorial drug-cell space. Hence, we asked whether it is possible to fill these gaps by predicting cell-specific drug perturbation profiles using available expression data from related conditions--i.e. from other drugs and cell types. We developed a computational framework that first arranges existing profiles into a three-dimensional array (or tensor) indexed by drugs, genes, and cell types, and then uses either local (nearest-neighbors) or global (tensor completion) information to predict unmeasured profiles. We evaluate prediction accuracy using a variety of metrics, and find that the two methods have complementary performance, each superior in different regions in the drug-cell space. Predictions achieve correlations of 0.68 with true values, and maintain accurate differentially expressed genes (AUC 0.81). Finally, we demonstrate that the predicted profiles add value for making downstream associations with drug targets and therapeutic classes.

PMID: 29218867 [PubMed - in process]

Propafenone suppresses esophageal cancer proliferation through inducing mitochondrial dysfunction.

Am J Cancer Res. 2017;7(11):2245-2256

Authors: Zheng WB, Li YJ, Wang Y, Yang J, Zheng CC, Huang XH, Li B, He QY

Abstract
Esophageal squamous cell carcinoma (ESCC) is one of the most common malignant tumors with poor survival and limited therapeutic options. The aim of this study is to identify novel anticancer strategies from existing Food and Drug Administration (FDA)-approved drugs that have been used to clinically treat other diseases. Here, propafenone, an antiarrhythmic medication, was found to induce apoptosis and exert a significantly inhibitory effect on the proliferation and colony-forming ability of ESCC cells in a dose-dependent manner without observed cytotoxicity on normal esophageal epithelial cells. Furthermore, propafenone markedly suppressed growth of tumor xenografts in nude mice by reducing the Ki-67 proliferation index and angiogenesis but did not damage the vital organs of the animals. Mechanistically, our data from the proteomics, Western blot and flow cytometry analyses demonstrated that propafenone caused mitochondrial dysfunction as indicated by a decreased mitochondrial membrane potential and reduced expression of Bcl-xL and Bcl-2. In summary, this study provides the first evidence that propafenone, an FDA-approved drug to treat arrhythmias, could be a novel therapeutic strategy for treating ESCC without obvious side effects.

PMID: 29218248 [PubMed]

Examining the potential preventative effects of minocycline prescribed for acne on the incidence of severe mental illnesses: A historical cohort study.

J Psychopharmacol. 2017 Dec 01;:269881117743483

Authors: Herrero-Zazo M, Brauer R, Gaughran F, Howard LM, Taylor D, Barlow DJ

Abstract
BACKGROUND: Animal studies suggest that the antibiotic and microglial activation inhibitor, minocycline, is likely to have a protective effect against the emergence of psychosis but evidence from human studies is lacking. The aim of this study is to examine the effects of exposure to minocycline during adolescence on the later incidence of severe mental illness (SMI).
METHODS: A historical cohort study using electronic primary care data was conducted to assess the association between exposure to minocycline during adolescence and incidence of SMI. The Incidence Rate Ratio (IRR) was measured using Poisson regression adjusted for age, gender, time of exposure, socioeconomic deprivation status, calendar year and co-medications.
RESULTS: Early minocycline prescription ( n=13,248) did not affect the incidence of SMI compared with non-prescription of minocycline ( n=14,393), regardless of gender or whether or not the data were filtered according to a minimum exposure period (minimum period: IRR 0.96; 95% CI 0.68-1.36; p=0.821; no minimum period: IRR 1.08; 95% CI 0.83-1.42; p=0.566).
CONCLUSIONS: Exposure to minocycline for acne treatment during adolescence appears to have no effect on the incidence of SMI.

PMID: 29215319 [PubMed - as supplied by publisher]

New Therapeutic Uses for Existing Drugs.

Adv Exp Med Biol. 2017;1031:233-247

Authors: Austin BA, Gadhia AD

Abstract
Eighty percent of drugs that enter human clinical testing are never approved for use. This means that for every five drugs that make it into the clinic, there are four that failed to show effectiveness for treating the disease or condition the drug was designed to treat.This high failure rate means there are many existing, partially developed therapeutic candidates with known pharmacology, formulation, and potential toxicity. Finding new uses for existing experimental drugs or biologics "repositioning" builds upon previous research and development efforts, so new candidate therapies can be advanced to clinical trials for a new use more quickly than starting from scratch.Federal funding initiatives in the U.S. and UK started to support pre-clinical /or early stage trials for repositioning existing experimental drugs or biologics (therapies). This chapter covers some of the process issues that have been solved and the remaining challenges that are still in need of solutions. The chapter is primarily written from a U.S. federal funding perspective. The general concepts could be applied more globally to benefit rare and neglected disease populations. The drug development and process bottlenecks are the same for both rare and common disease.

PMID: 29214576 [PubMed - in process]

Repositioning CEP-1347, a chemical agent originally developed for the treatment of Parkinson's disease, as an anti-cancer stem cell drug.

Oncotarget. 2017 Nov 07;8(55):94872-94882

Authors: Okada M, Takeda H, Sakaki H, Kuramoto K, Suzuki S, Sanomachi T, Togashi K, Seino S, Kitanaka C

Abstract
CEP-1347 is a mixed lineage kinase inhibitor tested in a large-scale phase 2/3 clinical trial in early Parkinson's disease, in which its safety and tolerability, but nevertheless not efficacy, was demonstrated. Here we identify by drug repositioning CEP-1347 as a potential anti-cancer stem cell drug. In vitro, CEP-1347 efficiently induced differentiation and inhibited the self-renewal and tumor-initiating capacities of human cancer stem cells from glioblastoma as well as from pancreatic and ovarian cancers at clinically-relevant concentrations, without impairing the viability of normal fibroblasts and neural stem cells. In vivo, a 10-day systemic administration of CEP-1347 at a dose that was less than 1/10 the mouse equivalent of the dose safely given to humans for 2 years was sufficient to effectively reduce tumor-initiating cancer stem cells within established tumors in mice. Furthermore, the same treatment protocol significantly extended the survival of mice receiving orthotopic implantation of glioma stem cells. Together, our findings suggest that CEP-1347 is a promising candidate for cancer stem cell-targeting therapy and that further clinical and preclinical studies are warranted to evaluate its efficacy in cancer treatment.

PMID: 29212273 [PubMed]

Predicting new indications of compounds with a network pharmacology approach: Liuwei Dihuang Wan as a case study.

Oncotarget. 2017 Nov 07;8(55):93957-93968

Authors: Wang YY, Bai H, Zhang RZ, Yan H, Ning K, Zhao XM

Abstract
With the ever increasing cost and time required for drug development, new strategies for drug development are highly demanded, whereas repurposing old drugs has attracted much attention in drug discovery. In this paper, we introduce a new network pharmacology approach, namely PINA, to predict potential novel indications of old drugs based on the molecular networks affected by drugs and associated with diseases. Benchmark results on FDA approved drugs have shown the superiority of PINA over traditional computational approaches in identifying new indications of old drugs. We further extend PINA to predict the novel indications of Traditional Chinese Medicines (TCMs) with Liuwei Dihuang Wan (LDW) as a case study. The predicted indications, including immune system disorders and tumor, are validated by expert knowledge and evidences from literature, demonstrating the effectiveness of our proposed computational approach.

PMID: 29212201 [PubMed]