A bibliometric analysis of testicular germ cell tumor research from 2000 to 2020
Introduction
Testicular germ cell tumor (TGCT) is the most common cancer among young adult men (1), and its incidence has been on the rise worldwide over the last two decades (2,3). Cryptorchidism is the most common risk factor associated with TGCT, increasing the risk of cancer by nearly five times (4). Protecting reproductive function, preventing mental fatigue and anxiety, and improving the quality of life are all crucial issues in young men with TGCT. During the last two decades, substantial advancing has been made in the field of TGCT research regarding genetic susceptibility, diagnostics, therapeutics and epidemiology (4,5). However, few scientific reports can help researchers obtain an intuitive overview in the field of TGCT research.
Bibliometric analysis, a novel comprehensive analysis method, was used to access contributions qualitatively and quantitatively in a specific field, including countries, institutions, journals, and authors. Bibliometric analysis also can predict research hotspots and future trends through data visualization (6-8). In 2013, Nason described the top 100 cited articles in urology and analyzed the key topics and advances in urology (9). However, there is no bibliometric study to evaluate hotspots and summarize progress in TGCT research field over the past 20 years.
In our study, a bibliometric analysis of TGCT was performed based on relevant literature from 2000 to 2020. Bibliometric indicators were comprehensively evaluated and visualized, including the number of annual publications, the contributions of countries, institutions, authors and journals. International cooperation and keyword co-occurrence visualization analysis were also performed. Furthermore, research hotspots and future trends in TGCT field were evaluated via the overlay map of co-occurring keywords and bi-clustering visualization analysis.
Methods
Source database and retrieval strategy
The Web of Science Core Collection (WoSCC) is one of the most authoritative and influential databases of scientific literature. In our study, all data was retrieved, filtered, and downloaded through the WoSCC database. The following search strategy was used: TS = Testicular germ cell tumor.
Screening criteria and data downloads
The timespan in the present study was set from 2000 to 2020. The language type was limited as English. For publication types, only articles and reviews were included, and all other types were excluded in the study. WoSCC data including journals, titles, abstracts, keywords, author information, and cited references were downloaded in TXT format. In case of the bias caused by frequent update of the WoSCC database, data retrieval and download were performed on the same day (January 23, 2021). Two independent authors (Chengyuan Wang and Lin Tong) finished the systematic literature search and had an agreement of 99%, showing significant consistency (10).
Statistical analysis
In our study, a comprehensive description of various publishing characteristics is provided qualitatively and quantitatively, including countries, institutions, authors, journals, H-index and impact factors (IFs). H-index was defined as the number of papers with citation number ≥ h and is considered to be an important indicator for assessing both the productivity and impact of the published work of scientists, journals, or countries (11). IFs were obtained from the latest version of Journal Citation Reports (JCR) to assess the impact of journals (12). The VOSviewer (version 1.6.15) and online platform of literature metrology analysis (http://bibliometric.com/) were used to perform bibliometric analysis. VOSviewer was used to visualize the networks such as institution, journal, author, co-citation, and the keywords (13). Overlay visualization maps were also conducted using VOSviewer to show the timescale of the TGCT research. The international collaboration network between countries/regions was performed using the online bibliometric analysis platform. The Microsoft Excel (version 2016) were used to evaluate the impact of countries/regions, institutions, authors, and journals. The downloaded data from the WoSCC database were imported into Bibliographic item co-occurrence matrix builder (BICOMB) to build a binary matrix of keyword-article (14). Furthermore, graphical clustering toolkit (gCLUTO) (version 1.0) software was used to perform bi-clustering visualization analysis, and to build three-dimensional mountain maps and heat maps based on the binary matrix of keyword-article (14).
Results
Distribution of annual publications
Based on the Screening criteria, a total of 4,550 papers (3,881 articles and 669 reviews) from the 20-year period were ultimately obtained (Figure 1). Figure 2 showed the growth trend of annual publications in TGCT research field, from 152 in 2010 to 263 in 2020. According to the WoSCC database, the 4,550 papers were cited 122,273 times, with an average of 26.87 times in each paper.
Analysis of countries and institutions
From 2000 to 2020, 86 countries or regions contributed to publications associated with TGCT. According to the WoSCC database, the top 25 most productive countries or regions are shown on the map to explore the worldwide geographic distribution in TGCT research field (Figure 3A). The countries or regions ranked 1–10 are presented as numbers in Table 1. Among them, the United States was the most productive country in the field of TGCT, with 1,549 papers published, followed by Germany (n=614), England (n=430), Japan (n=345), Italy (n=324), Netherlands (n=298), France (n=247), Canada (n=240), Denmark (n=236) and China (n=184). As shown in Figure 3B, close cooperation between countries or regions was extremely popular over the past 20 years. Furthermore, the international cooperation network analysis showed that the United States was the country most actively participated in the international cooperation.
Table 1
Rank | Country/region | Records | Percentage. (N/4,550), % |
---|---|---|---|
1 | USA | 1,549 | 34.044 |
2 | Germany | 614 | 13.495 |
3 | England | 430 | 9.451 |
4 | Japan | 345 | 7.582 |
5 | Italy | 324 | 7.121 |
6 | The Netherlands | 298 | 6.549 |
7 | France | 247 | 5.429 |
7 | Canada | 240 | 5.275 |
7 | Denmark | 236 | 5.187 |
10 | China | 184 | 4.044 |
As depicted in Table 2, Indiana University was the most productive institution, with 360 papers published, followed by the Memorial Sloan-Kettering Cancer Center (n=247), National Cancer Institute (n=160), Institute for Cancer Research (n=156), University of Toronto (n=156), The University of Texas MD Anderson Cancer Center (n=141), University of Pennsylvania (n=131), Comenius University (n=117), Rigshospitalet Kopenhagen (n=115) and Norwegian Radium Hospital (n=113). The network knowledge map among institutions was generated via VOSviewer, and 50 was set to the threshold as the minimum number of papers, while 500 was set to the threshold as the minimum number of citations. Ultimately, as shown in Figure 4, 16 out of the 3,977 institutions were identified. In addition, Indiana University cooperated with nearly every influential scientific institution in the field of TGCT during the last 20 years.
Table 2
Rank | Institutions | Article counts | Total number of citations | Average number of citations | Total number of first author | Total number of first author citations | Average number of first author citations |
---|---|---|---|---|---|---|---|
1 | Indiana University | 360 | 5,893 | 16.37 | 166 | 2,474 | 14.90 |
2 | Memorial Sloan-Kettering Cancer Center | 247 | 5,687 | 23.02 | 87 | 1,763 | 20.26 |
3 | National Cancer Institute | 160 | 2,715 | 16.97 | 75 | 1,328 | 17.71 |
4 | Institute for Cancer Research | 156 | 4,782 | 30.65 | 53 | 1,716 | 32.38 |
5 | University of Toronto | 156 | 2,289 | 14.67 | 36 | 470 | 13.06 |
6 | The University of Texas MD Anderson Cancer Center | 141 | 1,151 | 8.16 | 40 | 156 | 3.9 |
7 | University of Pennsylvania | 131 | 3,046 | 23.25 | 26 | 393 | 15.12 |
8 | Comenius University | 117 | 730 | 6.24 | 35 | 196 | 5.6 |
9 | Rigshospitalet Kopenhagen | 115 | 1,961 | 17.05 | 52 | 974 | 18.73 |
10 | Norwegian Radium Hospital | 113 | 3,545 | 31.37 | 32 | 719 | 22.47 |
Analysis of journals
As shown in Table 3, the top 10 most productive journals, which published 926 papers, accounting for 20.35% of the total publications in the field of TGCT research. Journal of Urology (n=136), Urology (n=120), and Journal of Clinical Oncology (n=108) were the top three journals which had the largest number of publications in the field of TGCT research. Journal of Clinical Oncology, Journal of Urology, and European Urology were the top three journals which had the largest number of citations (4,026 vs. 2,327 vs. 2,190 citations, respectively). However, Journal of Clinical Oncology, European Urology, and Annals of Oncology had the largest number of average citations per paper (37.28 vs. 25.76 vs. 21.27 times, respectively). Journal of Clinical Oncology, Annals of Oncology, and European Urology had the highest IFs in the latest version of JCR (32.945 vs. 18.274 vs. 17.947, respectively). Journal of Clinical Oncology had the highest H-index of any journals in the field of TGCT research, with a score of 75. Among the top 10 journals with the largest number of published papers, Journal of Urology, Journal of Clinical Oncology, BJU International, European Urology, Annals of Oncology, British Journal of Cancer, and Cancer were identified as Q1 based on the latest version of JCR standards (Table 3). In addition, Table 4 listed the top 10 most highly cited papers and these papers had great influence in the field of TGCT research over the last 20 years.
Table 3
Rank | Journal Title | Article counts | Total number of citations | Average number of citations | IF (2019) | Quartile in category (2019) | H-index |
---|---|---|---|---|---|---|---|
1 | Journal of Urology | 136 | 2,327 | 17.11 | 5.925 | Q1 | 30 |
2 | Urology | 120 | 943 | 7.86 | 1.924 | Q3 | 19 |
3 | Journal of Clinical Oncology | 108 | 4,026 | 37.28 | 32.945 | Q1 | 75 |
4 | BJU International | 93 | 786 | 8.45 | 4.806 | Q1 | 23 |
5 | European Urology | 85 | 2,190 | 25.76 | 17.947 | Q1 | 47 |
6 | Urologic Oncology-Seminars and Original Investigations | 84 | 453 | 5.39 | 2.882 | Q2 | 16 |
7 | Annals of Oncology | 78 | 1,694 | 21.72 | 18.274 | Q1 | 61 |
8 | British Journal of Cancer | 75 | 1,154 | 15.39 | 5.791 | Q1 | 30 |
9 | Cancer | 74 | 1,292 | 17.46 | 5.742 | Q1 | 34 |
10 | International Journal of Urology | 73 | 252 | 3.45 | 2.445 | Q2 | 60 |
IF, impact factor; H-index, Hirsch index; JCR, Journal Citation Reports.
Table 4
Rank | Title | Authors | Year | Journal | Total citations |
---|---|---|---|---|---|
1 | Cisplatin in cancer therapy: Molecular mechanisms of action | Dasari, Shaloam, et al. | 2014 | European Journal of Pharmacology | 1,696 |
2 | Testicular dysgenesis syndrome: an increasingly common developmental disorder with environmental aspects | Skakkebaek NE, et al. | 2001 | Human Reproduction | 1,411 |
3 | A genetic screen implicates miRNA-372 and miRNA-373 as oncogenes in testicular germ cell tumors | Voorhoeve PM, et al. | 2006 | Cell | 918 |
4 | Proliferation and functional maturation of Sertoli cells, and their relevance to disorders of testis function in adulthood | Sharpe RM, et al. | 2003 | Reproduction | 763 |
5 | The 2016 WHO Classification of Tumours of the Urinary System and Male Genital Organs-Part A: Renal, Penile, and Testicular Tumours | Moch Holger, et al. | 2016 | European Urology | 740 |
6 | Molecular pathogenesis and extraovarian origin of epithelial ovarian cancer-Shifting the paradigm | Kurman Robert J. et al. | 2011 | Human Pathology | 643 |
7 | Testicular germ-cell tumours in a broader perspective | Oosterhuis JWS, et al. | 2005 | Nature Reviews Cancer | 608 |
8 | Second cancers among 40,576 testicular cancer patients: Focus on long-term survivors | Travis LB, et al. | 2005 | JNCI-Journal of The National Cancer Institute | 545 |
9 | Sertoli-Sertoli and Sertoli-germ cell interactions and their significance in germ cell movement in the seminiferous epithelium during spermatogenesis | Mruk DD, et al. | 2004 | Endocrine Reviews | 533 |
10 | Gene expression patterns in human embryonic stem cells and human pluripotent germ cell tumors | Sperger JM, et al. | 2003 | Proceedings of the National Academy of Sciences of the United States of America | 514 |
Analysis of authors
The top 10 most productive authors in the field of TGCT research were also evaluated (Table 5). Among them, Looijenga LHJ from the Princess Máxima Center for Pediatric Oncology in Netherlands ranked first and published 130 papers over the last 20 years. Bokemeyer C from the Department of Oncology, Hematology and Bone Marrow Transplantation with Division of Pneumology, University Medical Center Hamburg-Eppendorf in Germany was the second most productive author in the field of TGCT research (n=92). Furthermore, Looijenga LHJ, Oosterhuis JW, and Bokemeyer C were the top three authors who had the highest number of citations (3,854 vs. 2,946 vs. 2,877 times, respectively). VOSviewer software was used to generate the co-authorship overlay visualization network, and the threshold was set to 20 as the minimum number of published papers by authors. Finally, as shown in Figure 5, 33 authors who met the screening criteria were identified, of which Sheinfeld J, Motzer RJ, Bosl GJ, and Carver BS were shown to cooperate closely. VOSviewer software was also used to generate the citation overlay visualization map, and the threshold was set to 300 as the minimum number of total citations from authors. Finally, 33 authors were identified, of which Looijenga LHJ, Bokemeyer C, Ulbright TM, Sheinfeld J and Dieckmann KP were shown to make significant contributions to the field of TGCT research (Figure 5B).
Table 5
Rank | Author | Article counts | Total number of citations | Average number of citations | First author counts | First author citation counts | Corresponding author counts | Corresponding author citation counts |
---|---|---|---|---|---|---|---|---|
1 | Looijenga LHJ | 130 | 3,854 | 29.65 | 15 | 671 | 44.73 | 62 |
2 | Bokemeyer C | 92 | 2,877 | 31.27 | 5 | 104 | 20.8 | 26 |
3 | Fossa SD | 85 | 2,509 | 29.52 | 6 | 189 | 31.5 | 11 |
4 | Rajpert-De Meyts E | 81 | 1,547 | 19.1 | 5 | 366 | 73.2 | 13 |
5 | Ulbright TM | 79 | 1,291 | 16.34 | 15 | 311 | 20.73 | 29 |
6 | Skakkebaek NE | 78 | 2,168 | 27.79 | 5 | 77 | 15.4 | 6 |
7 | Oosterhuis JW | 74 | 2,946 | 39.81 | 7 | 491 | 70.14 | 6 |
8 | McGlynn KA | 72 | 1,407 | 19.54 | 12 | 452 | 37.67 | 24 |
9 | Einhorn LH | 71 | 1,383 | 19.48 | 6 | 224 | 37.33 | 17 |
10 | Sheinfeld J | 71 | 1,587 | 22.35 | 0 | 0 | 0 | 32 |
Analysis of research hotspots
In our study, the keywords with the highest frequency of occurrence were identified from the included publications and the top 39 most frequent keywords are shown in Table 6, with an appearance of more than 30 times. The relationship between the extracted high-frequency keywords and publications was visualized using BICOMB. gCLUTO software was utilized for visual analysis and identification of clusters. Finally, the top 39 most frequent keywords were divided into 5 different clusters according bi-clustering analysis to identify the research hotspots in the field of TGCT research (Figure 6A). In addition, the 3-dimensional volcano map was generated for visualization of clustering results (Figure 6B).
Table 6
Number | Keywords | Frequency | % |
---|---|---|---|
1 | Testicular cancer | 968 | 5.5731 |
2 | Germ cell tumor | 686 | 3.9496 |
3 | Testis | 463 | 2.6657 |
4 | Seminoma | 398 | 2.2914 |
5 | Chemotherapy | 285 | 1.6409 |
6 | Testicular germ cell tumor | 264 | 1.5199 |
7 | Cancer | 139 | 0.8003 |
8 | Teratoma | 138 | 0.7945 |
9 | Cisplatin | 119 | 0.6851 |
10 | Immunohistochemistry | 116 | 0.6679 |
11 | Testis cancer | 108 | 0.6218 |
12 | Surveillance | 99 | 0.5700 |
13 | Spermatogenesis | 98 | 0.5642 |
14 | Apoptosis | 98 | 0.5642 |
15 | Germ cell | 96 | 0.5527 |
16 | Non-seminoma | 92 | 0.5297 |
17 | Retroperitoneal lymph node dissection | 88 | 0.5066 |
18 | Embryonal carcinoma | 87 | 0.5009 |
19 | Radiotherapy | 73 | 0.4203 |
20 | Prognosis | 73 | 0.4203 |
21 | Non-seminomatous germ cell tumor | 71 | 0.4088 |
22 | Cryptorchidism | 70 | 0.4030 |
23 | Germ cell cancer | 65 | 0.3742 |
24 | Carcinoma in situ | 62 | 0.3570 |
25 | Testicular tumor | 55 | 0.3167 |
26 | Germinoma | 55 | 0.3167 |
27 | Lymph node excision | 54 | 0.3109 |
28 | Yolk sac tumor | 54 | 0.3109 |
29 | Testicular neoplasm | 53 | 0.3051 |
30 | Fertility | 52 | 0.2994 |
31 | Survival | 51 | 0.2936 |
32 | Infertility | 49 | 0.2821 |
33 | Incidence | 46 | 0.2648 |
34 | High-dose chemotherapy | 44 | 0.2533 |
35 | Surgery | 39 | 0.2245 |
36 | Epidemiology | 35 | 0.2015 |
37 | P53 | 35 | 0.2015 |
38 | Germ cell and embryonal | 34 | 0.1958 |
39 | Ovary | 31 | 0.1785 |
TGCT, testicular germ cell tumor.
Cluster 0: Epidemiology of TGCT. Cluster 1: TGCT-related infertility. Cluster 2: Pathological classification with TGCT. Cluster 3: Management options for TGCT. Cluster 4: Prevention of cancer metastasis in TGCT patients.
VOSviewer software was used to generate an overlay visualization network of keyword co-occurrence to explore the changes of research hotspots over the last 20 years, and our results indicated that the keywords “genome-wide association” and “cisplatin resistance” began to emerge in the last seven years in the field of TGCT research (Figure 7).
Discussion
In recent years, bibliometric analysis has been widely used in many scientific research fields, which can help researchers with different backgrounds to understand the research progress of a certain field and visualize the knowledge structure more intuitively. In addition, many indicators obtained from bibliometric analysis will give researchers an intuitive overview such as the most productive authors, milestone manuscripts, popular journals, research hotspots, and future trends (15-17). In the present study, we performed a comprehensive bibliometric analysis of global scientific publications in the field of TGCT research over the last 20 years.
The productivity and development of a specific field over a period of time can be reflected by the number of publications (18). A total of 4,550 publications, including 263 papers in 2020, were included in our study (Figures 1,2). Our results indicated that the number of publications was maintained at a substantial level over the last 20 years from 2000 to 2020, which also showed that TGCT was still a hot research field, and there may be more and more scientific problems waiting for scholars to explore in the field of TGCT research.
The number of publications is an important indicator to evaluate the scientific research level of a country or institution in a particular research field (15,18,19). Our results indicated that the United States and Germany were the 2 largest contributors in terms of the number of publications over the last 20 years (Figure 3A, Table 1), highlighting their dominant impact in the field of TGCT research. Meanwhile, international cooperation analysis showed that the United States participated in the cooperation most frequently from 2000 to 2020, especially with the UK and Canada (Figure 3B). Furthermore, Indiana University was identified as the most productive institution over the last 20 years, and had the highest collaboration performance with almost all influential scientific institutions in the field of TGCT research, including Memorial Sloan-Kettering Cancer Center, the University of Texas MD Anderson Cancer Center, Harvard university and Norwegian Radium Hospital (Table 2, Figure 4). These results indicated that frequently collaborations between countries or institutions will be the future trend in the field of TGCT research.
Indicators from bibliometric analysis can provide a reliable reference for scientific researchers to manage their knowledge or submit their manuscripts (20,21). As shown in Table 3, the top 10 most productive journals were all included in the category of “Urology” or “Oncology”. Our results indicated that Journal of Urology had the largest number of TGCT research papers and Journal of Clinical Oncology had the largest number of total citations. Our results indicated that the largest number of cited publications was a review written by Shaloam Dasari and Paul Bernard Tchounwou from Cellomics and Toxicogenomics Research Laboratory, Jackson State University in the USA, and that “Cisplatin in cancer therapy: Molecular mechanisms of action”, was a milestone in the field of TGCT research from 2000 to 2020 (22) (Table 4). These highly cited papers and active journals can provide a reliable reference for researchers and TGCT had a significant role in the fields of urology and oncology.
According to the WoSCC database, Looijenga, LHJ was the most productive researcher and had the highest number of total citations in the field of TGCT research (Table 5). Furthermore, Looijenga LHJ, Bokemeyer C, Ulbright TM, Sheinfeld J and Dieckmann KP cooperated closely and published a considerable number of highly cited publications (Figure 5A,B). Thus, they can be recognized as leaders in the field of TGCT research.
Considering the heterogeneity of the TGCT research field, we divided the highly frequently keywords into 5 clusters via BICOMB and gCLUTO software (Figure 6). Cluster 0 is related to epidemiology of TGCT. In Western countries, TGCT is the most common cancer among men aged 14 to 44 (1). It is reported that Caucasians have an increase morbidity by 3–6% per year in TGCT (23). Fortunately, the disease-specific survival after 15-year was 99.3% for patients initially diagnosed with stage I seminoma (24). Cluster 1 is related to TGCT-related infertility. TGCT patients have high risks of male infertility due to the decrease of sperm concentration, the decrease of total sperm motility and the increase of morphological alterations (25,26). Because the fertility status of TGCT patients after treatment is difficult to predict, researchers consider it is necessary for extracting testicular sperm and cryopreservation of spermatozoa (27). Cluster 2 is related to pathological classification with TGCT. TGCT are mainly divided into seminoma, which resemble primordial germ cells, and non-seminoma, which are either embryonal carcinoma or yolk sac tumor (28). Around 15% of the TGCT is a mixture of seminoma and non-seminoma (29). Cluster 3 is related to management options for TGCT. After orchidectomy, management options for early-stage TGCT include active surveillance, primary chemotherapy and retroperitoneal lymph node dissection (RPLND), are helpful to reduce the long-term morbidity (30). In addition, patients are highly curable due to excellent cisplatin sensitivity of TGCT. However, approximately 10–20% of TGCT patients with cancer metastasis cannot be cured by cisplatin-based chemotherapy (31). Cluster 4 is related to prevention of cancer metastasis in TGCT patients. RPLND has played an indispensable role in the management of male metastatic TGCT for decades. The aim of RPLND is to remove lymph nodes from the primary retroperitoneal landing site of TGCT, commonly accomplished by using a split-and-roll technique to remove tissue surrounding great vessels (32,33). Whether TGCT or a metastatic setting, current guidelines should be strictly followed in TGCT patients to improve the cure rates. Exploring the combination of chemotherapy and targeted drugs is a major challenge for researchers and doctors.
The overlay network of keyword co-occurrence visualization analysis is a widely accepted analysis method to identify research hotspots and predict research trends (34). The keywords such as “genome-wide association” and “cisplatin resistance” appeared frequently in the last seven years, indicating that the genetics mechanisms and cisplatin resistance will continue to be research hotspots in the near future. Based on genome wide association studies (GWAS), Substantial advancing has been made in understanding genetic susceptibility in the last decade (35). GWAS have identified multiple novel susceptibility loci and provided a comprehensive understanding of the underlying genetic architecture of TGCT (36,37). TGCT show excellent sensitivity to cisplatin-based chemotherapy and the emergence of cisplatin resistance is the major cause of treatment failure and death in TGCT patients (29,38). The molecular mechanisms of cisplatin resistance in TGCT include the hyperactivity of PI3K/AKT/mTOR pathway, down-regulation of OCT4, and upregulation of MDM2 (31). Exploring the molecular mechanisms of cisplatin resistance is helpful to provide novel therapeutic targets, and a large number of clinical trials are needed to explore new therapeutic strategies in the future.
Conclusions
In our study, a comprehensive bibliometric analysis was performed for the first time to reveal the development of TGCT research. Research hotspots analysis suggested that genetics mechanisms and cisplatin resistance of TGCT will remain research hotspots in the next few years. International collaboration was common from 2000 to 2020, which may help researchers make a breakthrough in the near future. Our study provided a new perspective for TGCT research and may have a beneficial effect for further research in the diagnosis, treatment, and etiology of this condition.
Acknowledgments
Funding: Our study was funded by
Footnote
Peer Review File: Available at https://dx.doi.org/10.21037/tcr-21-412
Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at https://dx.doi.org/10.21037/tcr-21-412). The authors have no conflicts of interest to declare.
Ethical Statement: The authors are accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved.
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