9 research outputs found

    Veliparib in combination with radiotherapy for the treatment of MGMT unmethylated glioblastoma

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    BackgroundThe O 6 -methylguanine methyltransferase (MGMT) gene is frequently unmethylated in patients with glioblastoma (GBM), rendering them non-responsive to the standard treatment regime of surgery followed by concurrent radiotherapy (RT) and temozolomide. Here, we investigate the efficacy of adding a PARP inhibitor, veliparib, to radiotherapy to treat MGMT unmethylated GBM.MethodsThe inhibition of PARP with veliparib (ABT-888), a potent and orally bioavailable inhibitor in combination with RT was tested on a panel of patient derived cell lines (PDCLs) and patient-derived xenografts (PDX) models generated from GBM patients with MGMT unmethylated tumors.ResultsThe combination of veliparib and RT inhibited colony formation in the majority of PDCLs tested. The PDCL, RN1 showed significantly reduced levels of the homologous repair protein, Mre11 and a heightened response to PARP inhibition measured by increased apoptosis and decreased colony formation. The oral administration of veliparib (12.5 mg/kg, twice daily for 5 days in a 28-day treatment cycle) in combination with whole brain RT (4 Gy) induced apoptosis (Tunel staining) and decreased cell proliferation (Ki67 staining) in a PDX of MGMT unmethylated GBM. Significantly longer survival times of the PDX treated with the combination treatment were recorded compared to RT only or veliparib only.ConclusionsOur results demonstrate preclinical efficacy of targeting PARP at multiple levels and provide a new approach for the treatment of MGMT unmethylated GBM.<br /

    Systematic review of antitumour efficacy and mechanism of metformin activity in prostate cancer models

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    Metformin, the first line pharmacotherapy for type 2 diabetes has demonstrated favourable effects in prostate cancer (PCa) across a range of studies evaluating PCa patient outcomes amongst metformin users. However, a lack of rigorously conducted prospective studies has stalled clinical use in this setting. Despite multiple studies evaluating the mechanisms underpinning antitumour effects of metformin in PCa, to date, no reviews have compared these findings. This systematic review and meta-analysis consolidates the mechanisms accounting for the antitumour effect of metformin in PCa and evaluates the antitumour efficacy of metformin in preclinical PCa studies. Data were obtained through Medline and EMBASE, extracted by two independent assessors. Risk of bias was assessed using the TOXR tool. Meta-analysis compared in vivo reductions of PCa tumour volume with metformin. In total, 447 articles were identified with 80 duplicates, and 261 articles excluded based on eligibility criteria. The remaining 106 articles were assessed and 71 excluded, with 35 articles included for systematic review, and eight included for meta-analysis. The mechanisms of action of metformin regarding tumour growth, viability, migration, invasion, cell metabolism, and activation of signalling cascades are individually discussed. The mechanisms by which metformin inhibits PCa cell growth are multimodal. Metformin regulates expression of multiple proteins/genes to inhibit cellular proliferation, cell cycle progression, and cellular invasion and migration. Published in vivo studies also conclusively demonstrate that metformin inhibits PCa growth. This highlights the potential of metformin to be repurposed as an anticancer agent, warranting further investigation of metformin in the setting of PCa.</p

    An Individualised Medicine Approach to Improve Survival for Patients Diagnosed with Glioblastoma

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    Glioblastoma (GBM) is a highly aggressive primary brain tumour occurring in adults and children. The current standard treatment is maximal tumour resection followed by radiotherapy with concurrent and adjuvant temozolomide (TMZ) chemotherapy. Currently, median survival remains at approximately 15 months and less than 5% of patients survive longer than 5 years. Patients harbouring methylation within the MGMT promoter hold a survival advantage. Unfortunately, the majority of GBM patients (~60%) do not harbour a methylated MGMT promoter and treatment options available for these patients are very limited. Hence, there is an urgent need to develop novel therapeutic approaches focused on this subset of patients.The overarching aim of this thesis is to undertake a personalised therapeutic approach through precision medicine by identifying targetable molecular markers within a patient’s whole genomic profile. A patient-derived model (G89), for both in vitro and in vivo investigations, was developed and characterised. Three molecular targets were identified using a commercial biotargeting system and in-house whole genome sequencing. These targets were topoisomerase I, mammalian target of rapamycin (mTOR) and poly ADP ribose polymerase (PARP). Inhibition of these targets wereinvestigated in vitro and in vivo on G89 along with other GBM patient-derived models. In addition, mTOR and PARP inhibition was investigated in vitro and in vivo in combination with an organo-arsenic mitochondrial inhibitor (PENAO) and radiotherapy, respectively. Variable responses were observed. Treatment with topoisomerase inhibitors elicited poor response. Promising responses with the combination of a mTOR inhibitor with the mitochondrial inhibitor, PENAO, were observed in vitro (p < 0.05) but did not show appreciable effects in vivo. PARP inhibition in combination with radiotherapy, on the other hand, showed remarkable response both in vitro (p < 0.001) and in vivo (Log-rank p value = 0.042).Overall, the attempt to carry out a personalised treatment approach led us to identify and develop novel therapeutic combinations. The findings of this thesis have led to a successful novel therapeutic combination for GBM patients with unmethylated MGMT promoter that is currently being tested in a clinical trial

    Copper chelation suppresses epithelial-mesenchymal transition by inhibition of canonical and non-canonical TGF-β signaling pathways in cancer

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    Abstract Background Metastatic cancer cells exploit Epithelial-mesenchymal-transition (EMT) to enhance their migration, invasion, and resistance to treatments. Recent studies highlight that elevated levels of copper are implicated in cancer progression and metastasis. Clinical trials using copper chelators are associated with improved patient survival; however, the molecular mechanisms by which copper depletion inhibits tumor progression and metastasis are poorly understood. This remains a major hurdle to the clinical translation of copper chelators. Here, we propose that copper chelation inhibits metastasis by reducing TGF-β levels and EMT signaling. Given that many drugs targeting TGF-β have failed in clinical trials, partly because of severe side effects arising in patients, we hypothesized that copper chelation therapy might be a less toxic alternative to target the TGF-β/EMT axis. Results Our cytokine array and RNA-seq data suggested a link between copper homeostasis, TGF-β and EMT process. To validate this hypothesis, we performed single-cell imaging, protein assays, and in vivo studies. Here, we used the copper chelating agent TEPA to block copper trafficking. Our in vivo study showed a reduction of TGF-β levels and metastasis to the lung in the TNBC mouse model. Mechanistically, TEPA significantly downregulated canonical (TGF-β/SMAD2&3) and non-canonical (TGF-β/PI3K/AKT, TGF-β/RAS/RAF/MEK/ERK, and TGF-β/WNT/β-catenin) TGF-β signaling pathways. Additionally, EMT markers of MMP-9, MMP-14, Vimentin, β-catenin, ZEB1, and p-SMAD2 were downregulated, and EMT transcription factors of SNAI1, ZEB1, and p-SMAD2 accumulated in the cytoplasm after treatment. Conclusions Our study suggests that copper chelation therapy represents a potentially effective therapeutic approach for targeting TGF-β and inhibiting EMT in a diverse range of cancers

    Evidence of causal effect of major depression on alcohol dependence: findings from the psychiatric genomics consortium

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    BackgroundDespite established clinical associations among major depression (MD), alcohol dependence (AD), and alcohol consumption (AC), the nature of the causal relationship between them is not completely understood. We leveraged genome-wide data from the Psychiatric Genomics Consortium (PGC) and UK Biobank to test for the presence of shared genetic mechanisms and causal relationships among MD, AD, and AC.MethodsLinkage disequilibrium score regression and Mendelian randomization (MR) were performed using genome-wide data from the PGC (MD: 135 458 cases and 344 901 controls; AD: 10 206 cases and 28 480 controls) and UK Biobank (AC-frequency: 438 308 individuals; AC-quantity: 307 098 individuals).ResultsPositive genetic correlation was observed between MD and AD (rg = + 0.47, P = 6.6 × 10 ). AC-quantity showed positive genetic correlation with both AD (rg = + 0.75, P = 1.8 × 10 ) and MD (rg = + 0.14, P = 2.9 × 10 ), while there was negative correlation of AC-frequency with MD (rg = -0.17, P = 1.5 × 10 ) and a non-significant result with AD. MR analyses confirmed the presence of pleiotropy among these four traits. However, the MD-AD results reflect a mediated-pleiotropy mechanism (i.e. causal relationship) with an effect of MD on AD (beta = 0.28, P = 1.29 × 10 ). There was no evidence for reverse causation.ConclusionThis study supports a causal role for genetic liability of MD on AD based on genetic datasets including thousands of individuals. Understanding mechanisms underlying MD-AD comorbidity addresses important public health concerns and has the potential to facilitate prevention and intervention efforts
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