22 research outputs found

    Preclinical anti-cancer activity and multiple mechanisms of action of a cationic silver complex bearing N-heterocyclic carbene ligands

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    Organometallic complexes offer the prospect of targeting multiple pathways that are important in cancer biology. Here, the preclinical activity and mechanism(s) of action of a silver-bis(N-heterocyclic carbine) complex (Ag8) were evaluated. Ag8 induced DNA damage via several mechanisms including topoisomerase I/II and thioredoxin reductase inhibition and induction of reactive oxygen species. DNA damage induction was consistent with cytotoxicity observed against proliferating cells and Ag8 induced cell death by apoptosis. Ag8 also inhibited DNA repair enzyme PARP1, showed preferential activity against cisplatin resistant A2780 cells and potentiated the activity of temozolomide. Ag8 was substantially less active against non-proliferating non-cancer cells and selectively inhibited glycolysis in cancer cells. Ag8 also induced significant anti-tumour effects against cells implanted intraperitoneally in hollow fibres but lacked activity against hollow fibres implanted subcutaneously. Thus, Ag8 targets multiple pathways of importance in cancer biology, is less active against non-cancer cells and shows activity in vivo in a loco-regional settin

    <em>CYP2D6 </em>genotype and adjuvant tamoxifen:meta-analysis of heterogeneous study populations

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    Impact of opioid-free analgesia on pain severity and patient satisfaction after discharge from surgery: multispecialty, prospective cohort study in 25 countries

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    Background: Balancing opioid stewardship and the need for adequate analgesia following discharge after surgery is challenging. This study aimed to compare the outcomes for patients discharged with opioid versus opioid-free analgesia after common surgical procedures.Methods: This international, multicentre, prospective cohort study collected data from patients undergoing common acute and elective general surgical, urological, gynaecological, and orthopaedic procedures. The primary outcomes were patient-reported time in severe pain measured on a numerical analogue scale from 0 to 100% and patient-reported satisfaction with pain relief during the first week following discharge. Data were collected by in-hospital chart review and patient telephone interview 1 week after discharge.Results: The study recruited 4273 patients from 144 centres in 25 countries; 1311 patients (30.7%) were prescribed opioid analgesia at discharge. Patients reported being in severe pain for 10 (i.q.r. 1-30)% of the first week after discharge and rated satisfaction with analgesia as 90 (i.q.r. 80-100) of 100. After adjustment for confounders, opioid analgesia on discharge was independently associated with increased pain severity (risk ratio 1.52, 95% c.i. 1.31 to 1.76; P &lt; 0.001) and re-presentation to healthcare providers owing to side-effects of medication (OR 2.38, 95% c.i. 1.36 to 4.17; P = 0.004), but not with satisfaction with analgesia (beta coefficient 0.92, 95% c.i. -1.52 to 3.36; P = 0.468) compared with opioid-free analgesia. Although opioid prescribing varied greatly between high-income and low- and middle-income countries, patient-reported outcomes did not.Conclusion: Opioid analgesia prescription on surgical discharge is associated with a higher risk of re-presentation owing to side-effects of medication and increased patient-reported pain, but not with changes in patient-reported satisfaction. Opioid-free discharge analgesia should be adopted routinely

    Large expert-curated database for benchmarking document similarity detection in biomedical literature search

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    Document recommendation systems for locating relevant literature have mostly relied on methods developed a decade ago. This is largely due to the lack of a large offline gold-standard benchmark of relevant documents that cover a variety of research fields such that newly developed literature search techniques can be compared, improved and translated into practice. To overcome this bottleneck, we have established the RElevant LIterature SearcH consortium consisting of more than 1500 scientists from 84 countries, who have collectively annotated the relevance of over 180 000 PubMed-listed articles with regard to their respective seed (input) article/s. The majority of annotations were contributed by highly experienced, original authors of the seed articles. The collected data cover 76% of all unique PubMed Medical Subject Headings descriptors. No systematic biases were observed across different experience levels, research fields or time spent on annotations. More importantly, annotations of the same document pairs contributed by different scientists were highly concordant. We further show that the three representative baseline methods used to generate recommended articles for evaluation (Okapi Best Matching 25, Term Frequency-Inverse Document Frequency and PubMed Related Articles) had similar overall performances. Additionally, we found that these methods each tend to produce distinct collections of recommended articles, suggesting that a hybrid method may be required to completely capture all relevant articles. The established database server located at https://relishdb.ict.griffith.edu.au is freely available for the downloading of annotation data and the blind testing of new methods. We expect that this benchmark will be useful for stimulating the development of new powerful techniques for title and title/abstract-based search engines for relevant articles in biomedical research.Peer reviewe

    Exploiting Response Surface Methodology to Advance Alginate-based Hydrogels for Precision Medicine

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    Tissue composition and cell organization rely on the extracellular matrix (ECM) which generates and transmits mechanical signals, triggering different cellular responses. Alginates are used in precision medicine, but as substrate for cells growth they lack adhesive domains and do not degrade. To overcome these key challenges, we developed a library of alginate-based hydrogels prepared following a two-step crosslinking. The compressive moduli and stability of hydrogels in vitro were modelled using a response surface method, enabling to decouple biochemical and biophysical properties. As biological systems use mechanical forces to regulate several processes, from tissue regeneration to cancer development, we selected alginate-based hydrogels with compressive moduli of breast tissues (1-20 kPa) model different stages of breast cancer development in vitro, and as new drug screening technologies. Human breast cancer cells (MDA-MB-231) were cultured on several hydrogels and as different in vitro models (i.e., 3D models and 2.5D models). All hydrogels are cytocompatible, allowing cells growth up to 1 week. We selected 2.5D in vitro models to investigate the correlation between drug efficacy and microenvironment/ECM stiffness, as more similar to standard 2D in vitro models (i.e., 2D/TCP). We selected doxorubicin as models drug, as first-line treatment for breast cancer. Interestingly, doxorubicin was less effective in cells cultured in softer hydrogels (EC50 0.495 ± 0.248 μM, 6.9 ± 0.6 kPa) than in stiffer ones (EC50 0.189 ± 0.032 μM, 21.0 ± 3.8 kPa), with the latter being similar to 2D/TCP controls (EC50 0.129 ± 0.028 μM, > 106 kPa). Obtained results demonstrate that the proposed hydrogel library with decoupled biophysical and biochemical properties enables to better study how microenvironmental cues impact on cell behaviour in vitro. Moreover, results suggest the need to use new approaches in precision medicine to study drug efficacy and resistance in the context of cancer, using in vitro models able to mimic different tumour progression microenvironments as in vivo

    Opticin exerts its anti-angiogenic activity by regulating extracellular matrix adhesiveness

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    Opticin is an extracellular matrix glycoprotein that we identified associated with the collagen network of the vitreous humor of the eye. Recently, we discovered that opticin possesses anti-angiogenic activity using a murine oxygen-induced retinopathy model: here, we investigate the underlying mechanism. Using an ex vivo chick chorioallantoic membrane assay, we show that opticin inhibits angiogenesis when stimulated by a range of growth factors. We show that it suppresses capillary morphogenesis, inhibits endothelial invasion, and promotes capillary network regression in three-dimensional matrices of collagen and Matrigel(TM). We then show that opticin binds to collagen and thereby competitively inhibits endothelial cell interactions with collagen via α(1)β(1) and α(2)β(1) integrins, thereby preventing the strong adhesion that is required for proangiogenic signaling via these integrins
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