- Third Hospital of Shanxi Medical University, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Taiyuan, China
Background: Osteosarcoma is the most common primary bone tumor, its high incidence of metastasis and poor prognosis have led to a great deal of concern for osteosarcoma. In many cancer types, metabolic processes are important for tumor growth progression, so interfering with the metabolic processes of osteosarcoma may be a therapeutic option to stall osteosarcoma progression. A key mechanism of how metabolic processes contribute to the growth and survival of various cancers, including osteosarcoma, is their ability to support tumor cell metabolism. Research related to this field is a direction of great importance and potential. However, to our knowledge, no bibliometric studies related to this field have been published, and we will fill this research gap.
Methods: Publications were retrieved on January 1, 2023 from the 1990-2022 Science Citation Index of the Web of Science Core Collection. The Bibliometrix package in R software, VOSviewer and CiteSpace software were used to analyze our research directions and to visualize global trends and hotspots in osteosarcoma and metabolism related research.
Results: Based on the search strategy, 833 articles were finally filtered. In this area of research related to osteosarcoma metabolism, we found that China, the United States and Japan are the top 3 countries in terms of number of articles published, and the journals and institutions that have published the most research in this area are Journal of bone and mineral research, Shanghai Jiao Tong University. In addition, Baldini, Nicola, Reddy, Gs and Avnet, Sofia are the top three authors in terms of number of articles published in studies related to this field. The most popular keywords related to the field in the last 30 years are “metabolism” and “expression”, which will guide the possible future directions of the field.
Conclusion: We used Bibliometrix, VOSviewer, and Citespace to visualize and bibliometrically analyze the current status and possible future hotspots of research in the field of osteosarcoma metabolism. Possible future hotspots in this field may focus on the related terms “metabolism”, “expression”, and “migraation”.
Introduction
Abnormal metabolism is the main feature of cancer. Abnormal cancer metabolism, changes in the anabolic pathways of certain substances such as lipid metabolism, glutamine metabolism and glucose metabolism plays a crucial role in tumorigenesis, development and metastasis (1–6).The abnormal metabolism of cancer cells is the result of genetic mutations, and more importantly, it can also directly affect the signaling of tumor cells and the responses made by the final cells (7). In recent years there has been an increasing interest in the field of cancer metabolism in many basic experiments and clinical trials. Researchers are aiming to determine whether cancer development or progression can be halted by curbing the metabolic changes in cancer. Metabolism is also important in the development, progression and metastasis of osteosarcoma.
Osteosarcoma (OS) is the most common malignant bone tumor, occurring in children and adolescents, with an incidence of less than 5 per million (8, 9). Although treatment for OS includes a variety of treatments, including surgical resection and chemotherapy, overall survival remains poor (10). One of the main reasons for the poor prognosis is that the metabolic process of osteosarcoma is not well understood, and the development, progression, or metastasis of osteosarcoma is not well prevented. development or metastasis.
Bibliometrics is an emerging approach in recent years to provide an in-depth scientific qualitative and quantitative analysis and visualization of the published literature in a specific research area, which can provide a better and clearer understanding of the current status and future trends of a research area (11, 12).Unlike previous traditional systematic assessments, bibliometric analyses focus on author collaboration networks and national regions of the literature, and on the interconnectedness of different research institutions and individual journals publishing in the field (13).To the best of our knowledge, there are no bibliometric studies on the metabolism-related aspects of osteosarcoma research to date. Bibliometrics has been used in several disciplines, such as digestive (14), neurological (15), and cancer systems (16). Therefore, the purpose of this study was to provide an in-depth analysis and visualization of research on osteosarcoma metabolism from 1990 to 2022, as well as to assess the current state of research and future trends and hot spots in this area of osteosarcoma metabolism.
Methods and materials
Data collection and retrieval process
We searched the Web of Science (WoS) systematically for the period from January 1, 1990 to December 20, 2022. The WoS contains a huge number of journal categories and is the most frequently read database (17).Compared to other databases, the WoS database is more comprehensive, clearer, and broader (18),and is the most suitable database for bibliometric research (19–21).We also downloaded the data on January 1, 2023. Search terms included: TS = (osteosarcoma) and TS = (metabolism). After careful and multiple screening, only theses and review articles were retained, we removed literature that was not relevant to our study topic and restricted the language type to English only, extracted and saved in txt format, where these files were plain text files with full records and cited references retained for better visualization and bibliometric analysis of our study. Figure 1 can better demonstrate our process of screening the literature.
The study did not require the consent of the Ethical Medical Council.
Presentation of the software and its tools for visualization and bibliometrics to be used in this study
VOSviewer (22)and CiteSpace (23) can display the collaborative network relationships and keywords between different authors, countries, and institutions of the published literature in a certain research area. In the results presented by the CiteSpace software, each point in the graph represents an element, which can be an author, a country, an institution or a keyword. The lines between the points represent the strength of their relevance or the frequency of collaboration and relationships (23, 24). The sets of elements in different kinds of colors indicate different clusters (25).
In addition, R language software (26) is required, of which the Bibliometrix R package provides a quantitative tool for bibliometric analysis studies.
Results
Information on published literature on research in this field of osteosarcoma metabolism
From the results of integrating all the published literature collected in the field of osteosarcoma metabolism research, we found a total of 833 studies, 404 journals, 5,032 authors shooting research in the field of osteosarcoma metabolism over a 30-year period from 1990 to 2022, after screening, and an additional 1,164 institutions and 56 countries were counted. A total of 37,370 articles from 4,232 journals were cited in publications in the field of osteosarcoma metabolism.
Analysis of the number of articles published in the field of osteosarcoma metabolism by country and region
Fifty-six countries have contributed to the study of Ewing sarcoma, including 261 studies from China and 207 from the United States, whose average citation rate is 48.28. The top 3-5 countries publishing literature related to this field are Japan, Italy and Germany. Canada has only 33 published papers, but Canada leads in terms of the average number of citations with 78.94, which may also indicate the higher recognition of Canadian papers. The 10 countries with the highest number of publications in this area of osteosarcoma metabolism are listed in Table 1.
Table 1 Top 10 countries with the highest number of articles published in the field of osteosarcoma metabolism.
In addition, as can be seen from the line graph in Figure 2, the volume of papers in the field of osteosarcoma metabolism in the cluster with the trend line shows an overall steady upward trend in the volume of papers in the field related to osteosarcoma metabolism.
Figure 2 Trends in the number of articles published over time in the field of osteosarcoma metabolism.
Number of articles published in different journals in the field of osteosarcoma metabolism
According to the analysis of the field of osteosarcoma metabolism research by VOSViewer software, it was found that “Journal of bone and mineral research” was the most published journal in this field with 23 publications and a total of 1715 citations. In addition, the journal Bone had the highest average number of citations with 93.54, indicating that the average quality of publications in this field in this journal is high. We found that these journals are mostly related to bone, tumor or endocrine and metabolism. With an impact factor of 6.390, the journal “ Journal of bone and mineral research “ is an excellent Journal Citation Reports (JCR) Division 1 journal with a high rating in the industry. Table 2 shows the top 10 journals in terms of the number of articles published on osteosarcoma metabolism-related research content. In addition, Figure 3A shows the H-index of the top 10 journals in the field of osteosarcoma metabolism in terms of the number of published articles between 1990 and 2022, and Figure 3B shows very clearly the trend of the top journals in terms of the number of articles published in the field over the recent years.
Figure 3 Trends and H-index of the top 10 journals in terms of number of articles published. (A, B) shows the H-index of the journals in this field, and the trend of the number of articles published in the journals in this field over time, respectively.
Analysis of the authors of published literature in the field of osteosarcoma metabolism
According to Price Law, m=0.749*√nmax=2.247(nmax=9), then authors with more than or equal to 3 publications are defined as core authors in this field, with 101 individuals, and the details of the top 10 authors in terms of number of publications are shown in Table 3. Among them, we found that the studies published by Baldini, Nicola, the number one author in the field of osteosarcoma metabolism, are very well fitted to analyze the role and impact of multiple substances such as stem cells or acidosis in osteosarcoma metabolism (27, 28). He has published a total of nine papers related to the field, with a total of 248 citations and an average citation count of 27.56. In addition, Reddy, Gs, who tied for first place in terms of number of publications, focused on the relationship between osteosarcoma and vitamin metabolism (29).
Analysis of the different bodies of published literature in the field of osteosarcoma metabolism
The results presented by VOSviewer software show that Shanghai Jiao Tong University is the first in the world in terms of the number of publications in this field of research, with 28 articles on osteosarcoma metabolism and a total of 764 citations. In addition, University of Bologna and Zhejiang University ranked second and third, respectively, in the number of institutional publications in this field. Table 4 shows information on the top 10 institutions worldwide in terms of the number of articles published in this field.
Collaborations between authors in the field of osteosarcoma metabolism from 1990 to 2022 were visualized and analyzed using VOSviewer software
We used VOSviewer software to analyze the published literature on research related to osteosarcoma metabolism and found that a total of 5032 authors were involved in research on osteosarcoma metabolism, and we visualized the collaborative relationship graph of 101 authors who published more than 3 studies in this field, as shown in Figure 4. from Figure 4, it can be seen that in this field of research on osteosarcoma metabolism, the global collaborative This is one of the values of our study. With closer collaboration between researchers in this field on a global scale in the future, it is bound to give the field a better life and future value. Figures 4A-C are the connection network among authors, the graph of authors’ hotness over time, and the graph of authors’ density, respectively.
Figure 4 Collaboration chart of authors in the field (they have published more than 3 studies in the field). (A-C) are the connection network among authors, the graph of authors’ hotness over time, and the graph of authors’ density, respectively.
A visual analysis of global institutional partnerships in the field of osteosarcoma metabolism from 1990 to 2022 was performed using VOSviewer software
From Table 4 in the previous paper, we have also found that Shanghai Jiao Tong University is the first in the number of articles published in this field, and Figure 5 scientific research clearly shows that this institution has close cooperation with many other institutions. But it is more interesting to note that the top two institutions in this field do not have more obvious collaborative relationships, which is also worthy of our consideration. Figures 5A-C are the network of connections between institutions, the graph of author’s hotness over time, and the graph of author’s density, respectively.
Figure 5 Global partnerships between institutions in the field of osteosarcoma metabolism. (A-C) are the network of connections between institutions, the graph of author’s hotness over time, and the graph of author’s density, respectively.
A visual analysis of global country and regional collaborations in the field of osteosarcoma metabolism from 1990 to 2022
In the past 30 years, a total of 56 countries or regions worldwide have been involved in this research area of osteosarcoma metabolism, and it is clear from Figure 6 that there is still close national cooperation in this area. A total of 30 countries or regions have published more than 5 relevant studies in this area, and Figure 6 visualizes the national and regional collaborations. From the map of national and regional collaborations of published literature in the field of osteosarcoma metabolism-related research shown in Figure 6, it can be observed that the field is radiating to other countries with China and the United States as the center. Figures 6A-C are the network of connections between countries or regions, the graph of author’s hotness over time, and the graph of author’s density, respectively. In addition, we have used the Bibliometrix package in R to perform another visual and clear geographic visualization of the field of osteosarcoma metabolism, as seen in Figure 7, which differs from Figure 6 in that the patterns of the two diagrams allow for different presentations of the global collaborations in the field.
Figure 6 National and regional collaborations in the field of osteosarcoma metabolism. (A-C) are the network of connections between countries or regions, the graph of author’s hotness over time, and the graph of author’s density, respectively.
Figure 7 National and regional collaborations in the field of osteosarcoma metabolism as shown by the Bibliometrix package using R language software.
Analysis of hot spots and possible future directions in the field of osteosarcoma metabolism research
Co-citation is defined as a network relationship in which at least one article appears to be cited for reference at the same time. One of these clusters is formed when a group of articles on similar topics are frequently cited together (30). Analysis of co-cited literature in the field of osteosarcoma metabolism. From the analysis of Table 5 we found that “Osteosarcoma: Current Treatment and a Collaborative Pathway to Success” is the most cited article when it comes to published studies in the field of osteosarcoma metabolism. In addition, the top 10 cited articles in this field are shown in Table 5.
Analysis of keywords in the field of osteosarcoma metabolism
The number and frequency of keyword occurrences in a given time frame is an important way to assess the current and future trends of a research field. Figures 8A, Figure 8D show the most frequently occurring keywords in the research field of osteosarcoma metabolism for the period 1990 to 2022, where the size can indicate their importance and frequency of use in the field. In addition, Figure 9 shows the visualization of keywords using VOSviewer software, a network diagram that can clearly visualize the heat and trends of keywords. Figure 8B shows the results of the keywords in this field over the past 30 years with the change of years, from which we can find that the terms “metabolism” and “expression” have grown explosively, which also reflects the graph shows the current and possible future directions of the field. Figure 8C shows the top 10 keywords in this field. Figures 8A-D are the keyword percentage, keyword trend graph over time, keyword hotness and intensity, and keyword tree graph, respectively. Figures 9A-C are the connection network among keywords, the graph of keywords’ hotness over time, and the graph of keywords’ density, respectively.
Figure 8 Analysis of keywords in the field of osteosarcoma metabolism research. (A-D) are the keyword percentage, keyword trend graph over time, keyword hotness and intensity, and keyword tree graph, respectively.
Figure 9 Collaborative network diagram of keywords in the field of osteosarcoma metabolism research. (A-C) are the connection network among keywords, the graph of keywords’ hotness over time, and the graph of keywords’ density, respectively.
Analysis of the burgeoning word in the field of osteosarcoma metabolism research from 1990 to 2022
A unique feature of CiteSpace is that it can show the sudden explosion of terms in a certain research area at certain time periods to reflect the possible hot spots and trends at each time period. We used this software to analyze the words that broke out in the field of osteosarcoma metabolism, which is shown in Figure 10. The red color in the line following each outbreak term indicates its sudden outbreak during that time period.
Figure 10 The top 25 highest intensity of keywords in the field of osteosarcoma metabolism research, i.e. outbreak words.
Discussion
We have done considerable research analysis work to deeply analyze and visualize the authors, country regions, and journals of articles published in the field of research related to osteosarcoma metabolism between January 1, 1990 and December 20, 2022. Based on this, we tried to show the current status of research in this field and possible future hotspots and trends, contributing to the development of the field and further value creation. We used Citespace, VOSviewer and other software to make a visual analysis of the last 30 years of research in this field, we found that there are 833 articles in this field, of which 5 of the top 10 published institutions are Chinese universities, but the most cited institution is the University of Bologna. China is the most cited country in the field, while the United States is the most cited overall and Canada is the number one cited on average.
In terms of authors, we found that in addition to the previously described, Baldini, nicola also studied the relationship between osteosarcoma cell secretion and metabolism and nanoparticles (31) and also Hall, ih mainly studied some elements of multiple drugs in the field of osteosarcoma metabolism studies, such as in vitro studies of osteosarcoma cells (32) and anti-tumor studies of compounds (33–35).
From the results of our analysis, China and the United States are the absolute centers of research in the field of osteosarcoma metabolism, with 470 publications from these two countries, accounting for about half of the global number of publications in this field.
The keywords found in the results are “metabolism”, “expression”, “cancer”, “osteosarcoma”, and “growth”. and “growth” are the words that appear very frequently. These words also indicate roughly the hottest research directions in the field between 1990 and 2022.
In addition, we analyzed the outbreak terms that have emerged in the field over the past 30 years, a method unique to Citespace software. It is a term that mainly reflects whether there are significant changes in a research field during a specific period of time, and can indicate hot spots and future trends for researchers. In the field of osteosarcoma metabolism research, we found that the main outbreak words in recent years are “cancer cell”, “mesenchymal stem cell”, “ migration”, “cancer”, and “signaling pathway”, which will mostly emerge and explode in 2017-2022. This can also predict that the research field in osteosarcoma metabolism may revolve around these hot spots in the coming years.
Our study is the first bibliometric analysis and visualization of this research area of osteosarcoma metabolism. Of course, our bibliometric’s have limitations inherent to this type of study. It is difficult to achieve simultaneous use of multiple databases in a bibliometric study, so we used only the WoS database, but considering that the WoS database is the most widely used, recognized, and covered database in bibliometrics (36, 37), the results generated reflect the overall trend.
Conclusion
We conducted a bibliometric study and visualization of research in the field of osteosarcoma metabolism from 1990 to 2022 using several software such as VOSviewer and Citespace. From the results of our presentation, it is clear that metabolic research in the field of osteosarcoma is slowly becoming a hot direction in the field of osteosarcoma research with good prospects. baldini, nicola, Reddy, Gs, and Avnet, Sofia are the three authors with the highest number of publications in this field. China, USA and Japan are the three countries with the highest number of publications in this field. Shanghai Jiao Tong University, University of Bologna and Zhejiang University are the top 3 academic institutions in terms of number of publications. mesenchymal stem cell”, “migration”, “cancer”, and “signaling pathway” are the potential research hotspots in this field in recent years and in the future. This study is the first review of nearly three decades of research on relevant aspects of osteosarcoma metabolism through bibliometric analysis and provides a reference for future research.
Data availability statement
The original contributions presented in the study are included in the article/supplementary material. Further inquiries can be directed to the corresponding author.
Author contributions
ZS performed a bibliometric analysis and visualization study of articles in this field using several software. ZS wrote the manuscript. SB checked the manuscript several times. All authors contributed to the article and approved the submitted version.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
References
1. Wise DR, DeBerardinis RJ, Mancuso A, Sayed N, Zhang XY, Pfeiffer HK, et al. Myc regulates a transcriptional program that stimulates mitochondrial glutaminolysis and leads to glutamine addiction. Proc Natl Acad Sci U.S.A. (2008) 105(48):18782–7. doi: 10.1073/pnas.0810199105
2. Sanchez-Macedo N, Feng J, Faubert B, Chang N, Elia A, Rushing EJ, et al. Depletion of the novel P53-target gene carnitine palmitoyltransferase 1c delays tumor growth in the neurofibromatosis type I tumor model. Cell Death Differ (2013) 20(4):659–68. doi: 10.1038/cdd.2012.168
3. Osthus RC, Shim H, Kim S, Li Q, Reddy R, Mukherjee M, et al. Deregulation of glucose transporter 1 and glycolytic gene expression by c-myc. J Biol Chem (2000) 275(29):21797–800. doi: 10.1074/jbc.C000023200
4. Ying H, Kimmelman AC, Lyssiotis CA, Hua S, Chu GC, Fletcher-Sananikone E, et al. Oncogenic kras maintains pancreatic tumors through regulation of anabolic glucose metabolism. Cell (2012) 149(3):656–70. doi: 10.1016/j.cell.2012.01.058
5. Qing G, Li B, Vu A, Skuli N, Walton ZE, Liu X, et al. Atf4 regulates myc-mediated neuroblastoma cell death upon glutamine deprivation. Cancer Cell (2012) 22(5):631–44. doi: 10.1016/j.ccr.2012.09.021
6. Ren P, Yue M, Xiao D, Xiu R, Gan L, Liu H, et al. Atf4 and n-myc coordinate glutamine metabolism in mycn-amplified neuroblastoma cells through Asct2 activation. J Pathol (2015) 235(1):90–100. doi: 10.1002/path.4429
7. Park JH, Pyun WY, Park HW. Cancer metabolism: Phenotype, signaling and therapeutic targets. Cells (2020) 9(10):2308. doi: 10.3390/cells9102308
8. Pingping B, Yuhong Z, Weiqi L, Chunxiao W, Chunfang W, Yuanjue S, et al. Incidence and mortality of sarcomas in shanghai, China, during 2002-2014. Front Oncol (2019) 9:662. doi: 10.3389/fonc.2019.00662
9. Lancia C, Anninga JK, Sydes MR, Spitoni C, Whelan J, Hogendoorn PCW, et al. A novel method to address the association between received dose intensity and survival outcome: Benefits of approaching treatment intensification at a more individualised level in a trial of the European osteosarcoma intergroup. Cancer Chemother Pharmacol (2019) 83(5):951–62. doi: 10.1007/s00280-019-03797-3
10. Duggan MA, Anderson WF, Altekruse S, Penberthy L, Sherman ME. The surveillance, epidemiology, and end results (Seer) program and pathology: Toward strengthening the critical relationship. Am J Surg Pathol (2016) 40(12):e94–e102. doi: 10.1097/pas.0000000000000749
11. Chen C. Searching for intellectual turning points: Progressive knowledge domain visualization. Proc Natl Acad Sci U.S.A. (2004) 101 Suppl 1(Suppl 1):5303–10. doi: 10.1073/pnas.0307513100
12. Xing D, Zhao Y, Dong S, Lin J. Global research trends in stem cells for osteoarthritis: A bibliometric and visualized study. Int J Rheum Dis (2018) 21(7):1372–84. doi: 10.1111/1756-185x.13327
13. Pu QH, Lyu QJ, Su HY. Bibliometric analysis of scientific publications in transplantation journals from mainland China, Japan, south Korea and Taiwan between 2006 and 2015. BMJ Open (2016) 6(8):e011623. doi: 10.1136/bmjopen-2016-011623
14. Huang X, Fan X, Ying J, Chen S. Emerging trends and research foci in gastrointestinal microbiome. J Transl Med (2019) 17(1):67. doi: 10.1186/s12967-019-1810-x
15. Martynov I, Klima-Frysch J, Schoenberger J. A scientometric analysis of neuroblastoma research. BMC Cancer (2020) 20(1):486. doi: 10.1186/s12885-020-06974-3
16. Zhang T, Yin X, Yang X, Man J, He Q, Wu Q, et al. Research trends on the relationship between microbiota and gastric cancer: A bibliometric analysis from 2000 to 2019. J Cancer (2020) 11(16):4823–31. doi: 10.7150/jca.44126
17. De Winter JC, Zadpoor AA, Dodou D. The expansion of Google scholar versus web of science: A longitudinal study. Scientometrics (2014) 98(2):1547–65. doi: 10.1007/s11192-013-1089-2
18. Pranckutė R. Web of science (Wos) and scopus: The titans of bibliographic information in today’s academic world. Publications (2021) 9(1):12. doi: 10.3390/publications9010012
19. Ding X, Yang Z. Knowledge mapping of platform research: A visual analysis using vosviewer and citespace. Electron Commer Res (2022) 22:787–809. doi: 10.1007/s10660-020-09410-7
20. Thelwall M. Bibliometrics to webometrics. J Inf Sci (2008) 34(4):605–21. doi: 10.1177/0165551507087238
21. Merigó JM, Yang J-B. A bibliometric analysis of operations research and management science. Omega (2017) 73:37–48. doi: 10.1016/j.omega.2016.12.004
22. van Eck NJ, Waltman L. Software survey: Vosviewer, a computer program for bibliometric mapping. Scientometrics (2010) 84(2):523–38. doi: 10.1007/s11192-009-0146-3
23. Chen C. Citespace ii: Detecting and visualizing emerging trends and transient patterns in scientific literature. J Am Soc Inf Sci Technol (2006) 57(3):359–77. doi: 10.1002/asi.20317
24. Xie P. Study of international anticancer research trends Via Co-word and document Co-citation visualization analysis. Scientometrics (2015) 105(1):611–22. doi: 10.1007/s11192-015-1689-0
25. Liang Y-D, Li Y, Zhao J, Wang X-Y, Zhu H-Z, Chen X-H. Study of acupuncture for low back pain in recent 20 years: A bibliometric analysis Via citespace. J Pain Res (2017) 10:951. doi: 10.2147/JPR.S132808
26. R Core Team. R: A language and environment for statistical computing. (Vienna, Austria: R Foundation for Statistical Computing) (2013). Available at: http://www.R-project.org/.
27. Bonuccelli G, Avnet S, Grisendi G, Salerno M, Granchi D, Dominici M, et al. Role of mesenchymal stem cells in osteosarcoma and metabolic reprogramming of tumor cells. Oncotarget (2014) 5(17):7575–88. doi: 10.18632/oncotarget.2243
28. Chano T, Avnet S, Kusuzaki K, Bonuccelli G, Sonveaux P, Rotili D, et al. Tumour-specific metabolic adaptation to acidosis is coupled to epigenetic stability in osteosarcoma cells. Am J Cancer Res (2016) 6(4):859–75.
29. Siu-Caldera ML, Sekimoto H, Weiskopf A, Vouros P, Muralidharan KR, Okamura WH, et al. Production of 1 Alpha,25-Dihydroxy-3-Epi-Vitamin d-3 in two rat osteosarcoma cell lines (Umr 106 and ros 17/2.8): Existence of the c-3 epimerization pathway in ros 17/2.8 cells in which the c-24 oxidation pathway is not expressed. Bone (1999) 24(5):457–63. doi: 10.1016/s8756-3282(99)00019-8
30. Shi X, Wang S, Wu Y, Li Q, Zhang T, Min K, et al. A bibliometric analysis of the innate immune DNA sensing cgas-sting pathway from 2013 to 2021. Front Immunol (2022) 13:916383. doi: 10.3389/fimmu.2022.916383
31. Perut F, Roncuzzi L, Zini N, Massa A, Baldini N. Extracellular nanovesicles secreted by human osteosarcoma cells promote angiogenesis. Cancers (2019) 11(6):17. doi: 10.3390/cancers11060779
32. Rajendran KG, Chen SY, Sood A, Spielvogel BF, Hall IH. The anti-osteoporotic activity of amine-carboxyboranes in rodents. BioMed Pharmacother (1995) 49(3):131–40. doi: 10.1016/0753-3322(96)82606-0
33. Hall IH, Izydore R, Hall ES, Miller MC, Daniels DL, Debnath ML, et al. The antineoplastic and cytotoxicity of benzohydroxamic acids and related derivatives in murine and human tumor-cells. Anti-Cancer Drugs (1992) 3(3):273–80. doi: 10.1097/00001813-199206000-00011
34. Das MK, Maiti PK, Roy S, Mittakanti M, Morse KW, Hall IH. Relationship of hypolipidemic and antineoplastic activities of tricyclohexylphosphine and triphenylphosphine boranes, carboxyboranes, cyanoboranes, and related derivatives. Arch Pharm (1992) 325(5):267–72. doi: 10.1002/ardp.19923250504
35. Hall IH, Hall ES, Wong OT. The antineoplastic activity of 2,3-Dihydrophthalazine-1,4-Dione and n-Butyl-2,3-Dihydrophthalazine-1,4-Dione in human and murine tumor-cells. Anti-Cancer Drugs (1992) 3(1):55–62. doi: 10.1097/00001813-199202000-00010
36. Zhang Y, Wang Y, Chen J, Cheng Q, Zhang B, Hao L, et al. The top 100 cited articles in osteonecrosis of the femoral head: A bibliometric analysis. BioMed Res Int (2021) 2021:1433684. doi: 10.1155/2021/1433684
Keywords: osteosarcoma, metabolism, bibliometrics, visualized study, trends
Citation: Shao Z and Bi S (2023) Studies related to osteosarcoma and metabolism from 1990 to 2022: A visual analysis and bibliometric study. Front. Endocrinol. 14:1144747. doi: 10.3389/fendo.2023.1144747
Received: 15 January 2023; Accepted: 22 February 2023;
Published: 06 March 2023.
Edited by:
Ruiqin Han, Chinese Academy of Medical Sciences, ChinaReviewed by:
Li Ding, The Affiliated Hospital of Xuzhou Medical University, ChinaYanlong Shi, The Second Affiliated Hospital of Nanjing Medical University, China
Xintian Cai, People’s Hospital of Xinjiang Uygur Autonomous Region, China
Copyright © 2023 Shao and Bi. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Shuxiong Bi, bishuxiong168@sohu.com