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1.
Frontiers of Medicine ; (4): 617-648, 2023.
Artigo em Inglês | WPRIM | ID: wpr-1010818

RESUMO

The tumor immune microenvironment (TIME) is broadly composed of various immune cells, and its heterogeneity is characterized by both immune cells and stromal cells. During the course of tumor formation and progression and anti-tumor treatment, the composition of the TIME becomes heterogeneous. Such immunological heterogeneity is not only present between populations but also exists on temporal and spatial scales. Owing to the existence of TIME, clinical outcomes can differ when a similar treatment strategy is provided to patients. Therefore, a comprehensive assessment of TIME heterogeneity is essential for developing precise and effective therapies. Facilitated by advanced technologies, it is possible to understand the complexity and diversity of the TIME and its influence on therapy responses. In this review, we discuss the potential reasons for TIME heterogeneity and the current approaches used to explore it. We also summarize clinical intervention strategies based on associated mechanisms or targets to control immunological heterogeneity.

2.
Chinese Journal of Medical Education Research ; (12): 783-785, 2020.
Artigo em Chinês | WPRIM | ID: wpr-865896

RESUMO

Utilizing of the WeChat Mini Programs (WMPs) in optimizing the paradigm of Continuing Medical Education (CME) is a promising avenue to improve training mode for physician. Here, we introduce the development status of WMP, and classify them into professional societies, hospital departments, academic institutions, pharmaceutical technology companies and individuals according to the operation subjects. This paper also analyzes the advantages and disadvantages of WMPs, and puts forward the establishment of authoritative and highly recognized mini programs that can be awarded CME credits. Through the "Internet plus medical care" strategy, we should integrate network resources to enhance the overall level of continuing medical education, so as to provide a good platform for related medical workers.

3.
Chinese Journal of Medical Education Research ; (12): 551-554, 2020.
Artigo em Chinês | WPRIM | ID: wpr-865843

RESUMO

At present, the cultivation of exploratory thinking and the ability to use medical public big data is easy to be ignored, which leads to the obvious lack of the ability of graduate students in oncology to use public big data to discover and confirm new clinical phenomena and new laws in scientific research. This study introduces the access and download tools of common medical big databases such as TCGA, introduces the learning method of repeated classic analysis cases, and proposes research methods to verify clinical hypothesis using public big data. It is expected to provide useful enlightenment and reference for improving the research ability of graduate students in oncology specialty to find clinical problems and summarize scientific laws.

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