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. 2022 Feb 25;29(1):66-80.
doi: 10.3390/pathophysiology29010007.

Mapping Research on miRNAs in Cancer: A Global Data Analysis and Bibliometric Profiling Analysis

Peter Shaw  1   2 , Kartik Lokhotiya  3 , Chellan Kumarasamy  4 , Krishnan Sunil  5 , Deepa Suresh  6 , Sameep Shetty  7 , Gothandam Kodiveri Muthukaliannan  3 , Siddhartha Baxi  8 , Ravishankar Ram Mani  9 , Palanisamy Sivanandy  10 , Harish C Chandramoorthy  11 , Madan Mohan Gupta  12 , Suja Samiappan  13 , Rama Jayaraj  14
Affiliations

Mapping Research on miRNAs in Cancer: A Global Data Analysis and Bibliometric Profiling Analysis

Peter Shaw et al. Pathophysiology. .

Abstract

miRNAs biomarkers are emerging as an essential part of clinical oncology. Their oncogenic and tumour suppressor properties playing a role in malignancy has generated interest in their potential for use in disease prognosis. While several studies on miRNA have been carried out across the globe, evaluating the clinical implications of miRNAs in cancer diagnosis and prognosis research has currently not been attempted. A study delineating the area of miRNA research, including the topics presently being focused on, the seminal papers in this field, and the direction of research interest, does not exist. This study aims to conduct a large-scale, global data analysis and bibliometric profiling analysis of studies to evaluate the research output of clinical implications of miRNAs in cancer diagnosis and prognosis listed in the SCOPUS database. A systematic search strategy was followed to identify and extract all relevant studies, subsequently analysed to generate a bibliometric map. SPSS software (version 27) was used to calculate bibliometric indicators or parameters for analysis, such as year and country of affiliation with leading authors, journals, and institutions. It is also used to analyse annual research outputs, including total citations and the number of times it has been cited with productive nations and H-index. The number of global research articles retrieved for miRNA-Cancer research over the study period 2003 to 2019 was 18,636. Between 2012 and 2019, the growth rate of global publications is six times (n = 15,959; 90.71 percent articles) that of 2003 to 2011. (2704; 9.29 per cent articles). China published the most publications in the field of miRNA in cancer (n = 7782; 41%), while the United States had the most citations (n = 327,538; 48%) during the time span. Of these journals, Oncotarget has the highest percentage of article publications. The journal Cancer Research had the most citations (n = 41,876), with 6.20 per cent (n = 41,876). This study revealed a wide variety of journals in which miRNA-Cancer research are published; these bibliometric parameters exhibit crucial clinical information on performance assessment of research productivity and quality of research output. Therefore, this study provides a helpful reference for clinical oncologists, cancer scientists, policy decision-makers and clinical data researchers.

Keywords: bibliometric analysis; cancer; clinical diagnostics; clinical prognostics; miRNA.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Document types of retrieved articles on miRNA in cancer (2003–2019).
Figure 2
Figure 2
Year-wise article analysis.
Figure 3
Figure 3
Country-wise article analysis.
Figure 4
Figure 4
Author wise article analysis.
See this image and copyright information in PMC

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References

    1. Lu J., Getz G., Miska E.A., Alvarez-Saavedra E., Lamb J., Peck D., Sweet-Cordero A., Ebert B.L., Mak R.H., Ferrando A.A. MicroRNA expression profiles classify human cancers. Nature. 2005;435:834–838. doi: 10.1038/nature03702. - DOI - PubMed
    1. Lee R.C., Feinbaum R.L., Ambros V. The C. elegans heterochronic gene lin-4 encodes small RNAs with antisense complementarity to lin-14. Cell. 1993;75:843–854. doi: 10.1016/0092-8674(93)90529-Y. - DOI - PubMed
    1. Mostert B., Sieuwerts A.M., Martens J.W., Sleijfer S. Diagnostic applications of cell-free and circulating tumor cell-associated miRNAs in cancer patients. Expert Rev. Mol. Diagn. 2011;11:259–275. doi: 10.1586/erm.11.11. - DOI - PubMed
    1. Calin G.A., Croce C.M. MicroRNA signatures in human cancers. Nat. Rev. Cancer. 2006;6:857–866. doi: 10.1038/nrc1997. - DOI - PubMed
    1. Wiemer E.A. The role of microRNAs in cancer: No small matter. Eur. J. Cancer. 2007;43:1529–1544. doi: 10.1016/j.ejca.2007.04.002. - DOI - PubMed

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