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Drug outcome survey to evaluate anti-TNF treatment in rheumatoid arthritis: an Italian observational study (the DOSE study).

The aim of this paper is to analyse the use of anti-TNF drugs in current Italian practice, evaluate clinical responses to treatment, and identify possible predictors of negative response in patients with rheumatoid arthritis (RA).
DOSE is a non-interventional, prospective study of patients with active RA treated for the first time with anti-TNF agents in 21 Italian hospitals. Demographic and clinical characteristics of patients, treatments and outcome measures were assessed. Outcome measures used were EULAR response, DAS28 remission and HAQ remission at 12 months. A stepwise logistic regression model was used to study the predictors of non-response.
Of 299 RA patients (mean 53.8 ± 12.8 years, 76.1% female), DAS28 was &gt;5.1 in 60.5% of patients and HAQ was &gt;1 in 65.9%. Etanercept was the most prescribed anti-TNF. DMARDs were used in 77.6% of patients (methotrexate in 59.2%). Significant improvements in clinical and laboratory parameters were observed at 12 months. The proportion of patients classed as non-responders remained high, and varied according to assessment criteria. The main predictors independently and significantly associated with a high risk of non-response were: age and female gender for all outcome criteria; high DAS28 value for disease remission; and HAQ &gt;1 for disability remission.
In Italian anti-TNF treatment for RA, age, gender, and high values of both disease activity and disability were predictors of non-response to first-line therapy with anti-TNF drugs. Future studies should consider optimal second-line therapies for RA patients who do not achieve remission to their first anti-TNF treatment.

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Nanocarrier-based co-delivery of small molecules and siRNA/miRNA for treatment of cancer.

Aberrant gene expression can trigger several vital molecular events that not only result in carcinogenesis but also cause chemoresistance, metastasis and relapse. Gene-based therapies using siRNA/miRNA have been suggested as new treatment method to improve the current regimen. Although these agents can restore the normal molecular cascade thereby resensitizing the cancer cells, delivering a standard regimen (either subsequently or simultaneously) is necessary to achieve the therapeutic benefit. However, co-delivery using a single carrier could give an additional advantage of similar biodistribution profile of the loaded agents. While much research has been carried out in this field in recent years, challenges involved in designing combination formulations including efficient coloading, stability, appropriate biodistribution and target specificity have hampered their clinical translation. This article highlights current aspects of nano-carriers used for co-delivery of small molecules and genes to treat cancer.

Genetic modification of oncolytic Newcastle disease virus for cancer therapy.

Clinical development of a mesogenic strain of Newcastle disease virus (NDV) as an oncolytic agent for cancer therapy has been hampered by its select agent status due to its pathogenicity in avian species. Using reverse genetics, we have generated a lead candidate oncolytic NDV based on the mesogenic NDV-73T strain that is no longer classified as a select agent for clinical development. This recombinant NDV has modification at the fusion protein (F) cleavage site to reduce the efficiency of F protein cleavage and an insertion of a 198 nucleotide sequence into the HN-L intergenic region resulting in reduced viral gene expression and viral replication in avian cells but not in mammalian cells. In mammalian cells, except for viral polymerase (L) gene expression, other viral gene expression is not negatively impacted or increased by the HN-L intergenic insertion. Furthermore, the virus can be engineered to express a foreign gene and still retain the ability to grow to high titers in cell culture. The recombinant NDV selectively replicates in and kills tumor cells and is able to drive potent tumor growth inhibition following intratumoral or intravenous administration in a mouse tumor model. The candidate is well positioned for clinical development as an oncolytic virus.
The avian paramyxovirus type 1, Newcastle disease virus (NDV) has been an attractive oncolytic agent for cancer virotherapy. However, this virus can cause epidemic disease in poultry, and concerns about the potential environmental and economic impact of an NDV outbreak have precluded its clinical development. Here we describe generation and characterization of a highly potent oncolytic NDV variant that is unlikely to cause Newcastle disease in its avian host, representing an essential step towards moving NDV forward as an oncolytic agent. Several attenuation mechanisms have been genetically engineered into the recombinant NDV that reduce chicken pathogenicity to a level that is acceptable worldwide, without impacting viral production in cell culture. The selective tumor replication of this recombinant NDV, bothin vitroandin vivo, along with efficient tumor cell killing makes it an attractive oncolytic virus candidate that may provide clinical benefit to patients.
Copyright © 2016, American Society for Microbiology. All Rights Reserved.

Identification of anti-tumour biologics using primary tumour models, 3-D phenotypic screening and image-based multi-parametric profiling.

Monolayer cultures of immortalised cell lines are a popular screening tool for novel anti-cancer therapeutics, but these methods can be a poor surrogate for disease states, and there is a need for drug screening platforms which are more predictive of clinical outcome. In this study, we describe a phenotypic antibody screen using three-dimensional cultures of primary cells, and image-based multi-parametric profiling in PC-3 cells, to identify anti-cancer biologics against new therapeutic targets.
ScFv Antibodies and designed ankyrin repeat proteins (DARPins) were isolated using phage display selections against primary non-small cell lung carcinoma cells. The selected molecules were screened for anti-proliferative and pro-apoptotic activity against primary cells grown in three-dimensional culture, and in an ultra-high content screen on a 3-D cultured cell line using multi-parametric profiling to detect treatment-induced phenotypic changes. The targets of molecules of interest were identified using a cell-surface membrane protein array. An anti-CUB domain containing protein 1 (CDCP1) antibody was tested for tumour growth inhibition in a patient-derived xenograft model, generated from a stage-IV non-small cell lung carcinoma, with and without cisplatin.
Two primary non-small cell lung carcinoma cell models were established for antibody isolation and primary screening in anti-proliferative and apoptosis assays. These assays identified multiple antibodies demonstrating activity in specific culture formats. A subset of the DARPins was profiled in an ultra-high content multi-parametric screen, where 300 morphological features were measured per sample. Machine learning was used to select features to classify treatment responses, then antibodies were characterised based on the phenotypes that they induced. This method co-classified several DARPins that targeted CDCP1 into two sets with different phenotypes. Finally, an anti-CDCP1 antibody significantly enhanced the efficacy of cisplatin in a patient-derived NSCLC xenograft model.
Phenotypic profiling using complex 3-D cell cultures steers hit selection towards more relevant in vivo phenotypes, and may shed light on subtle mechanistic variations in drug candidates, enabling data-driven decisions for oncology target validation. CDCP1 was identified as a potential target for cisplatin combination therapy.

Does Antihypertensive Drug Class Affect Day-to-Day Variability of Self-Measured Home Blood Pressure? The HOMED-BP Study.

Recent literature suggests that blood pressure variability (BPV) predicts outcome beyond blood pressure level (BPL) and that antihypertensive drug classes differentially influence BPV. We compared calcium channel blockers, angiotensin-converting enzyme inhibitors, and angiotensin receptor blockade for effects on changes in self-measured home BPL and BPV and for their prognostic significance in newly treated hypertensive patients.
We enrolled 2484 patients randomly allocated to first-line treatment with a calcium channel blocker (n=833), an angiotensin-converting enzyme inhibitor (n=821), or angiotensin receptor blockade (n=830). Home blood pressures in the morning and evening were measured for 5 days off treatment before randomization and for 5 days after 2 to 4 weeks of randomized drug treatment. We assessed BPL and BPV changes as estimated by variability independent of the mean and compared cardiovascular outcomes. Home BPL response in each group was significant (P≤0.0001) but small in the angiotensin-converting enzyme inhibitor group (systolic/diastolic: 4.6/2.8 mm Hg) compared with the groups treated with a calcium channel blocker (systolic/diastolic: 8.3/3.9 mm Hg) and angiotensin receptor blockade (systolic/diastolic: 8.2/4.5 mm Hg). In multivariable adjusted analyses, changes in home variability independent of the mean did not differ among the 3 drug classes (P≥0.054). Evening variability independent of the mean before treatment significantly predicted hard cardiovascular events independent of the corresponding home BPL (P≤0.022), whereas BPV did not predict any cardiovascular outcome based on the morning measurement (P≥0.056). Home BPV captured after monotherapy had no predictive power for cardiovascular outcome (P≥0.22).
Self-measured home evening BPV estimated by variability independent of the mean had prognostic significance, whereas antihypertensive drug classes had no significant impact on BPV changes. Home BPL should remain the primary focus for risk stratification and treatment.
URL: View Source Unique identifier: C000000137.
© 2016 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley Blackwell.