Integrative Multi-Omics Approaches in Cancer Research: From Biological Networks to Clinical Subtypes

Multi-omics approaches are novel frameworks that integrate multiple omics datasets generated from the same patients to better understand the molecular and clinical features of cancers. A wide range of emerging omics and multi-view clustering algorithms now provide unprecedented opportunities to further classify cancers into subtypes, improve the survival prediction and therapeutic outcome of these subtypes, and understand key pathophysiological processes through different molecular layers. In this review, we overview the concept and rationale of multi-omics approaches in cancer research. We also introduce recent advances in the development of multi-omics algorithms and integration methods for multiple-layered datasets from cancer patients. Finally, we summarize the latest findings from large-scale multi-omics studies of various cancers and their implications for patient subtyping and drug development.     

核酸适配体结合纳米材料用于肿瘤靶向治疗

核酸适配体(aptamer)是一类由指数富集配体系统进化(systematic evolution of ligands by exponential enrichment,SELEX)技术筛选出的RNA和单链DNA寡核苷酸片段。因其非同寻常的分子识别能力及结构特性,核酸适配体已经成为最具有应用前景的生物分子之一,综述了核酸适配体结合不同的纳米材料在肿瘤靶向治疗上的应用。     

Systems Approaches to Biology and Disease Enable Translational Systems Medicine

The development and application of systems strategies to biology and disease are transforming medical research and clinical practice in an unprecedented rate.In the foreseeable future,clinicians,medical researchers,and ultimately the consumers and patients will be increasingly equipped with a deluge of personal health information,e.g.,whole genome sequences,molecular profiling of diseased tissues,and periodic multi-analyte blood testing of biomarker panels for disease and wellness.The convergence of these practices will enable accurate prediction of disease susceptibility and early diagnosis for actionable preventive schema and personalized treatment regimes tailored to each individual.It will also entail proactive participation from all major stakeholders in the health care system.We are at the dawn of predictive,preventive,personalized,and participatory(P4) medicine,the fully implementation of which requires marrying basic and clinical researches through advanced systems thinking and the employment of high-throughput technologies in genomics,proteomics,nanofluidics,single-cell analysis,and computation strategies in a highly-orchestrated discipline we termed translational systems medicine.     

Epigenetics and ADHD: Reflections on Current Knowledge,Research Priorities and Translational Potential

Molecular Diagnosis & Therapy - Attention-deficit/hyperactivity disorder (ADHD) is a common and debilitating neurodevelopmental disorder influenced by both genetic and environmental factors,...     

Lung Cancer Stem Cells and Implications for Future Therapeutics

Lung cancer is the most dreaded of all cancers because of the higher mortality rates associated with it worldwide. The various subtypes of lung cancer respond differently to a particular treatment regime, which makes the therapeutic interventions all the more complicated. The concept of cancer stem cells (CSCs) is based primarily on the clinical and experimental observations that indicate the existence of a subpopulation of cells with the capacity to self-renew and differentiate as well as show increased resistance to radiation and chemotherapy. They are considered as the factors responsible for the cases of tumor relapse. The CSCs may have significant role in the development of lung tumorigenesis based on the identification of the CSCs which respond during injury. The properties of multi-potency and self-renewal are shared in common by the lung CSCs with the normal pluripotent stem cells which can be isolated using the similar markers. This review deals with the origin and characteristics of the lung cancer stem cells. The role of different markers used to isolate lung CSCs like CD44, ALDH (aldehyde dehydrogenase), CD133 and ABCG2 (ATP binding cassette sub family G member 2) have been discussed in detail. Analysis of the developmental signaling pathways such as Wnt/β-catenin, Notch, hedgehog in the regulation and maintenance of the lung CSCs have been done. Finally, before targeting the lung CSC biomarkers for potential therapeutics, challenges faced in lung cancer stem cell research need to be taken into account. With the accepted notion that the CSCs are to blame for cancer relapse and drug resistance, targeting them can be an important aspect of lung cancer therapy in the future.