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Aims: Cancer is a high-mortality disease (9.6 million deaths in 2018 worldwide). Given various anticancer drugs, drug selection plays a key role in patient survival in clinical trials. Methods: Drug Sensitivity Testing (DST), one of the leading drug selective systems, was widely practiced for therapeutic promotion in the clinic. Notably, DSTs assist in drug selection that benefits drug responses against cancer from 20-22% to 30-35% over the past two decades. The relationship between drug resistance in vitro and drug treatment benefits was associated with different tumor origins and subtypes. Medical theory and underlying DST mechanisms remain poorly understood until now. The study of the clinical scenario, sustainability and financial support for mechanism and technical promotions is indispensable. Results: Despite the great technical advance, therapeutic prediction and drug selection by DST needs to be miniature, versatility and cost-effective in the clinic. Multi-parameters and automation of DST should be a future trend. Advanced biomedical knowledge and clinical approaches to translating oncologic profiles into drug selection were the main focuses of DST developments. With a great technical stride, the clinical architecture of the DST platform was entering higher levels (drug response testing at any stage of cancer patients and miniaturization of tumor samples). Discuss: The cancer biology and pharmacology for drug selection mutually benefit the clinic. New proposals to reveal more therapeutic information and drug response prediction at genetic, molecular and omics levels should be estimated overall. Conclusion: By upholding this goal of non-invasive, versatility and automation, DST could save the life of several thousand annually worldwide. In this article, new insights into DST novelty and development are highlighted.

Background Last two to three decades, this world witnesses a rapid progress of biomarkers and bioinformatics technologies. Cancer bioinformatics is one of such important omics branches for experimental/clinical studies and applications. Methods Same as other biological techniques or systems, bioinformatics techniques will be widely used. But they are presently not omni-potent. Despite great popularity and improvements, cancer bioinformatics has its own limitations and shortcomings at this stage of technical advancements. Results This article will offer a panorama of bioinformatics in cancer researches and clinical therapeutic applications-possible advantages and limitations relating to cancer therapeutics. A lot of beneficial capabilities and outcomes have been described. As a result, a successful new era for cancer bioinformatics is waiting for us if we can adhere on scientific studies of cancer bioinformatics in malignant- origin mining, medical verifications and clinical diagnostic applications. Conclusion Cancer bioinformatics gave a great significance in disease diagnosis and therapeutic predictions. Many creative ideas and future perspectives are highlighted.

After long defeats-almost no marked breakthrough in HIV vaccination campaign has been observed during the past two decades, and we still have not lost our faiths for the development of highly effective and low risk HIV vaccines. Many effective vaccines have been discovered and will certainly enter into the markets within the next 5 to 10 years. In order to promote HIV vaccine developments and clinical HIV therapeutic improvements, this perspective addresses the good and bad sides of currently available HIV vaccines, discusses many subjects of medical significance and finally provides up-to-date information in the field of HIV studies, in particular regarding vaccine developments and HIV pathogenesis.

Aim The modality of anticancer drug combinations needs to be renovated from empirical into technical-supportive systems. Methods To challenge past therapeutic routines, the new landscape may be established. Among the different areas of anticancer drug combination study, research in the fields of medical study is the most important one-including disciplinary of therapeutics in different cancer stages, modern genetic/ molecular diagnostics, cancer bioinformatics, traditional Chinese medicine, mathematical data analysis, therapeutic toxicity monitor, personalized cancer medicine and so on. Discussion This article addresses these types of cancer therapeutic management systems for clinical anticancer drug combination utilities. Conclusion Future cancer drug combinational studies and clinical optimums must be implemented.

HIV/AIDS was once a highly deadly infective disease that killed the global people of a million annually two decades ago. While we are enjoying the HIV therapeutic advances (mostly important from HAART invention), one obvious drawback is still unresolved-unable to clearance all HIV from infected human bodies. As a result, a series of different therapeutic attempts have been proposed based on present knowledge of different features of HIV-induced pathogenesis and human mortalities. Facing this shortcoming, innovative designs and update of HIV vaccines and other types of HIV therapeutic inventions can be a final solution for completely HIV clearance and infection managements in human beings. Owing to these scientific and medical significances, several experimental and clinical attempts have to be made. Among these attempts, part of them (updating HIV vaccine developments and clinical routines) are quite promising and noteworthy. In this article, we offer the general information of this attempt and discuss it separately, especially on the respects of HIV vaccine strategic innovations.