Talent cultivation in health technology assessment: an expert survey.

BACKGROUND: Health technology assessment (HTA) has become essential in many countries over the past few years, and the demand for HTA professionals has increased in academia, governments, and industries. This study aimed to examine which courses are most important and which training activities are most helpful for the development of HTA proficiency as perceived by HTA experts. METHODS: The survey questionnaire was developed by literature review and expert opinion. Convenience sampling was used to survey HTA experts from the industrial sector, academic/research units, and government/independent assessment organizations using an online survey tool, SurveyCake. We collected respondents' demographic information and asked them to assess the importance of each course included in an HTA program on a 5-point Likert Scale (1 = least important; 5 = highly important). In addition, respondents were asked to assess the extent to which various activities are helpful for HTA proficiency development. RESULTS: A total of 158 domestic and overseas experts in HTA-related fields were invited to participate in the survey and 68 completed the questionnaire. Among the respondents, the majority were female (57.4%) and working in academia (44.1%). The mean ± standard deviation of respondents' age and number of years spent in HTA-related fields were 43.2 ± 11.0 years and 11.3 ± 9.9 years, respectively. The course that was rated the most important was "Pharmacoeconomics/Cost-effectiveness analysis" with a score of 4.8 ± 0.4 points, followed by "Health economics" at 4.7 ± 0.7 points. Moreover, internships at HTA-related institutions were perceived to be the most helpful training activity for HTA proficiency development. CONCLUSIONS: Our study findings provide a better understanding of the requirements for developing HTA proficiency and can serve as a reference for the modification of current HTA education and training programs.

Generation of ligand-based pharmacophore model and virtual screening for identification of novel tubulin inhibitors with potent anticancer activity.

A pharmacophore model, Hypo1, was built on the basis of 21 training-set indole compounds with varying levels of antiproliferative activity. Hypo1 possessed important chemical features required for the inhibitors and demonstrated good predictive ability for biological activity, with high correlation coefficients of 0.96 and 0.89 for the training-set and test-set compounds, respectively. Further utilization of the Hypo1 pharmacophore model to screen chemical database in silico led to the identification of four compounds with antiproliferative activity. Among these four compounds, 43 showed potent antiproliferative activity against various cancer cell lines with the strongest inhibition on the proliferation of KB cells (IC(50) = 187 nM). Further biological characterization revealed that 43 effectively inhibited tubulin polymerization and significantly induced cell cycle arrest in G(2)-M phase. In addition, 43 also showed the in vivo-like anticancer effects. To our knowledge, 43 is the most potent antiproliferative compound with antitubulin activity discovered by computer-aided drug design. The chemical novelty of 43 and its anticancer activities make this compound worthy of further lead optimization.