Bibliometric Analysis of Tumor Immunotherapy Studies.
Medical science monitor international medical journal of experimental and clinical research(2018)
摘要
BACKGROUND Cancer immunotherapy is the use of the immune system to treat cancer. After years of research, there have been a significant number of publications in this field. We analyzed the literature and performed a hotspot analysis to identify important areas of future scientific research. MATERIAL AND METHODS Articles (2945) related to cancer immunotherapy published in the past 3 years were selected as the research sample. BICOMB software was then used to retrieve the high-frequency words and construct a text/co-word matrix. Next, gCLUTO software was used to analyze the matrix by double-clustering and visual analysis, in a strategy of hotspot identification. RESULTS We constructed a text and co-word matrix composed of 40 high-frequency words and 2945 articles and generated a hotspot "peak map" based on double-clustering analysis. The strategic coordinates were set by use of a co-word matrix and clustering analysis. The distribution of organs or disease and the subclass of cancer immunotherapy were analyzed. CONCLUSIONS In this study, we classified the hot-spots of "tumor immunotherapy" into 6 categories and 8 aspects. Calculation and analysis revealed that the field of tumor immunotherapy shows a slight trend of polarization, and the immune checkpoint inhibitor PD1 blocker shows the greatest potential for future development.
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