Research Trends in Molecular Biological Studies on Oral Squamous Cell Carcinoma: A Bibliometric Analysis

Introduction

Oral squamous cell carcinoma (OSCC) accounts for approximately 4% of all malignant tumors globally, with 300,000 new occurrences each year [1]. Surgical, radiotherapeutic, and chemotherapeutic approaches have been used to treat OSCC. Previous research found that five- and 10-year survival rates were 39%–42% and 38%, respectively, and that tumor sites were associated with a favorable prognosis [2, 3]. In addition, numerous tumor types of OSCC cell lines have been examined in biomolecular research on distinct genetic backgrounds, including gender, ethnicity, tumor site, presence of metastases, primary or secondary tumors, and viral involvement. Consequently, biomarker patterns have been found to differ [4]. However, numerous molecular genes are tightly connected, polarizing in a cascade of migration, proliferation, apoptosis, and metastasis, which makes it difficult to understand the OSCC mechanism.

A deeper understanding of the molecular factors involved in OSCC pathogenesis is critically important. Insights into the biological mechanisms that promote OSCC development and progression can help identify reliable biomarkers for early detection, as well as novel therapeutic targets. Molecular research may also shed light on the heterogeneity observed in OSCC tumors, as well as differences in racial, ethnic, and geographic distributions.

Scientometric analysis and text mining are generally acknowledged methods for examining substantial amounts of data in a certain sector [5]. Bibliometric techniques are typically used to assess and depict publishing trends, prolific authors, central themes, and research frontiers within a specific area. In 2019, only the etiology and risk factors in the most frequently cited articles on squamous cell carcinoma of the mouth, lips, and oropharynx were explored [6]. Several studies on the bibliometric analysis of squamous cell carcinoma have been published since 2019. In 2021, two publications investigated nanotherapy for HNSCC [7] and neck dissection for OSCC [8]. In 2022, analyses of OSCC risk factors [9] and correlations between macrophages and oral cancer were published [10]. However, a comprehensive synthesis of the accumulated biomolecular findings on OSCC is lacking. No previous study has discussed biomolecular research on OSCC or any other research area. Therefore, this study aimed to map the research landscape in this field to date, elucidating key trends and knowledge clusters that could inform future research priorities and strategies. Further molecular biological research on OSCC is urgently needed to improve patient outcomes. Because numerous biomolecular OSCC research studies have been undertaken, the present study utilized VOSviewer to produce a visualization of previous studies on OSCC.

Research Questions

RQ1. What are the key growth trends in the literature on molecular biological studies of OSCC?

RQ2. What authors, institutions, journals, documents, and countries from emerging regions have had the greatest influence on molecular biological studies on OSCC?

RQ3. What are the intellectual structures of molecular biological studies on OSCC?

RQ4. What topics in the molecular biological literature on OSCC have been studied with the greatest frequency and have attracted the greatest amount of attention?

MethodsSearch Strategy

Because of the extensive utilization of cell lines in molecular biological studies on OSCC and head and neck squamous cell carcinoma, it may be difficult to distinguish the origin of cells derived specifically from OSCC. Thus, previous studies on head and neck squamous cell carcinoma, metastasis, and unknown cell line tumor types were excluded. In this study, the Scopus database was used to meet the requirements of VOSviewer. The inclusion criteria for abstracts of articles on the OSCC cell line were defined. On 20 January 2023, we performed an advanced search using the following criteria:

ABS(“oral squamous cell carcinoma” OR oscc) AND ABS(A253 OR BB49HNC OR BHY OR BICR10 OR BICR16 OR BICR22 OR BICR31 OR BICR56 OR BICR78 OR CA922 OR CAL27 OR CAL33 OR H103 OR H157 OR H357 OR H376 OR H413 OR “HN” OR HO1N1 OR HO1U1 OR HSC2 OR HSC3 OR HSC4 OR KON OR KOSC2 OR OCC-22 OR OCC-25 OR OCC-31 OR OCC-32 OR OCC-34 OR ORL-115 OR ORL-136 OR ORL-150 OR ORL-174 OR ORL-188 OR ORL-204 OR ORL-48 OR OSC19 OR OSC20 OR PCI30 OR PCI38 OR PCI6A OR PECAPJ15 OR PECAPJ34CLONEC12 OR PECAPJ41CLONED2 OR PECAPJ49 OR SAS OR SCC15 OR SCC25 OR SCC4 OR SCC9 OR SKN3 OR TR146 OR UPCISCC026 OR UPCISCC040 OR UPCISCC074 OR UPCISCC090 OR UPCISCC111 OR UPCISCC116 OR UPCISCC131 OR UPCISCC152 OR UPCISCC154 OR UPCISCC200 OR YD10B OR YD15 OR YD8) AND (LIMIT-TO (SRCTYPE,“j”)) AND (LIMIT-TO (DOCTYPE,“ar”)) AND (LIMIT-TO (LANGUAGE,“English”)).

Data Extraction and Bibliometric Analysis

To determine who contributed the most, the bibliometric parameters (i.e., title, keywords, journal, publication year, citations, author, institution, and country) were extracted and imported into Microsoft Excel 2010 (Redmond, Washington, United States) and VOSviewer 1.6.17 (Leiden University, Leiden, The Netherlands) [11]. In VOSviewer, node size is positively related to the number of articles. The co-authorship study assessed the collaboration between various countries, authors, and institutions (Figure 1). Cooperation strength was positively correlated with the total link strength between the two nodes. Using VOSviewer, the co-occurrence and reference analysis keywords were visualized. An independent investigator examined the data extraction for any bias in the scientometric analysis in three phases.

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FIGURE 1. Flow diagram of inclusion process.

ResultsGeneral Data

A total of 783 articles (original research) published from 1992 to 2023 were extracted for analysis. Two articles were excluded because they were duplications. Trends in the number of published articles are displayed in Figure 2. As shown in Figure 2, fewer than 10 articles were published in the first decade. The highest number of articles (n = 86) was published in 2020. The highest numbers of citations were in 2012 and 2016 (1,331 and 1,350, respectively). The number of citations per article was 19.67. The total number of citations was 15,406. A total of 289 journals published these articles.

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FIGURE 2. Total number of publications and citations based on year.

Author Collaborations, Institutions, and Journal Analysis

Figure 3 shows 10 clusters of author collaborations in molecular biological studies on OSCC. This visualization was obtained by a minimum of 10 articles by each author; thus, only 25 authors were included. Only 12 authors showed strong links in the network. Table 1 presents a list of prolific authors, in which Chae, Jung-Il had the highest number of citations per publication at 19.35. Chae, Jung-Il, and Shim, Jung-Hyun published 14 articles that included 271 citations. Regarding the institution, the Osaka University Graduate School of Dentistry (Japan) and the China Medical University (Taiwan) had the highest number of publications.

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FIGURE 3. Intellectual structure based on co-authorship.

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TABLE 1. Top 10 most prolific authors.

Table 2 shows the top 10 journals that published research on the molecular biology of OSCC. These journals were categorized in the first and second quartiles based on SCImago journal rankings. The Journal of Oral Pathology and Medicine published 42 articles but had a low number of citations per publication score (14.38) compared with the International Journal of Oncology, which had 35 articles but the highest number of citations per publication (28.62). Only one journal, Oncology Letters, was ranked in the third quartile.

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TABLE 2. Top 10 most frequently cited journals.

Document Citation Analysis

Table 3 shows the highest number of documents cited. Only 10 articles were cited in more than 100 documents. The most frequently cited author was Arti Yadav at the Ohio State University Comprehensive Cancer Center, who published 12 articles that were cited in 1,200 documents.

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TABLE 3. Top 10 most frequently cited publications.

Country Citations Analysis

The results of the analysis of countries that were the most frequently cited are shown in Figure 4. Japan, which has 210 articles, was cited in 4,133 documents, followed by China, which had 265 articles cited in 3,730 documents. The United States had 101 articles cited in 3,102 documents, and Taiwan had 105 articles cited in 2,610 documents. Other countries had fewer than 40 articles that were cited in less than 750 documents. These results were supported by several researchers in Japan (Table 1).

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FIGURE 4. Visual density of citations based on country.

Intellectual Structure of Author Keywords

Figure 5 illustrates the subject groups and temporal trends of topic keywords, which were determined by analyzing data on the research publications.

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FIGURE 5. Topics in molecular biological studies on OSCC.

Discussion

In the field of molecular biology, there has been increasing interest in the study of OSCC, particularly in the last decade. This can be attributed to the increasing number of patients diagnosed with this cancer and the number of cases in which tumors exhibit resistance to medical treatment.

Numerous studies on OSCC have been undertaken. Since the invention of PCR and ELISA techniques, the amount of research on this subject has increased dramatically. Moreover, an increasing number of molecular biological studies on OSCC have been conducted with the goal of overcoming oral cancer. The dissemination of previous results has been necessary for a further theoretical and applicable understanding of the molecular mechanism of the development of oral cancer [12].

Regarding molecular biological research on OSCC, Figure 3 provides a visual representation of 10 distinct clusters denoting author collaborations. Among the 25 authors who met the minimum document requirement of 10, only 12 authors demonstrated significant network connections. As shown in Table 1, Chae, Jung-Il emerged as the most productive author, contributing 14 articles that generated a total of 271 citations. Notably, Chae, Jung-Il also achieved the highest number of citations per publication score of 19.35. Shim, Jung-Hyun published a total of 14 articles that were cited 271 times. Regarding institutional rankings, Table 2 shows that the Osaka University Graduate School of Dentistry in Japan ranked the highest with 21 publications, followed by China Medical University in Taiwan with 17 publications. The majority of the top 10 journals were ranked in the first and second quartiles, according to SCImago journal rankings. Notably, the International Journal of Oncology led with 35 publications and the highest citation per publication score of 28.62. The third quartile consisted of a single journal, Oncology Letters.

As shown in Table 3, 10 articles were cited more than 100 times. Notably, Arti Yadav, who is affiliated with the Ohio State University Comprehensive Cancer Center, emerged as the leading author with 12 publications and 1,200 citations. The data presented in Figure 4 and Table 1 show the distribution of citations by country. Japan led with 210 publications, which were cited a total of 4,133 times, followed by China, with 265 articles and 3,730 citations. The United States ranked third with 101 articles and 3,102 citations, and Taiwan ranked fourth with 105 articles and 2,610 citations. The remaining countries contributed fewer than 40 articles, each of which received fewer than 750 citations. These results were consistent with the high representation of Japanese researchers, as shown in Table 1.

Keywords were extracted automatically to develop network co-occurrence based on bibliographies. Keywords were counted using the full counting method. To avoid repeated terms, evaluations and revisions were conducted manually to develop a custom thesaurus. In this data analysis, author keywords were set at a minimum number of occurrences of five, and 52 articles met this criterion. The network presented in Figure 5 included several nodes that reflected keywords and edges that were correlated. The distance between nodes indicated the strength or weakness of a correlation. Similar keywords were categorized into clusters.

The following topics on the molecular biology of OSCC were studied with the greatest frequency: apoptosis, cell invasion, cell migration, tumor proliferation, and metastasis. Compared to other cancers, the pathogenesis of oral cancer has not been clearly understood until now. The biological marker that plays a role in triggering the transformation cascade may differ from that in a population study [2, 3]. Early research focused on several nodes, such as radiation, RANKL, cyclin d1, RNA interference, and matrix metalloproteinase. However, the topic of chemoresistance due to cisplatin, other therapeutic agents (metformin and monoclonal antibody), autophagy, inflammation, microRNA, cancer-associated fibroblasts, and STAT3, which play a role in cell migration and tumorigenesis, have recently attracted the greatest amount of attention. The modality treatment of cancer is to inhibit its proliferation (i.e., cancer-associated fibroblasts) by using chemotherapeutic or other therapeutic agents. However, in reality, chemoresistance is due to STAT3 [23, 24].

Based on the titles of the articles, the findings of our study showed six clusters of research: epidermal growth factor receptor, invasion, epithelial–mesenchymal transition, angiogenesis, apoptosis, and metastasis. The total number of links obtained was 49, with a total link strength of 664 (Figure 5).

Cluster 1 was an epidermal growth factor receptor with the keywords cisplatin, chemoresistance, Akt, NF-kb, 5-fluorouracil, cancer stem cells, cetuximab, monoclonal antibody, and radiation. Cluster 2 was invasion with the keywords migration, proliferation, cell cycle, cyclin d1, gene expression, inflammation, metformin, and RNA interference. Cluster 3 was the epithelial–mesenchymal transition with the keywords immunohistochemistry, osteoclast, bone invasion, cancer stem cell, e-cadherin, focal adhesion kinase, and RANKL. Cluster 4 was angiogenesis with the keywords cytotoxicity, matrix metalloproteinase, integrin, doxorubicin, hypoxia, keratinocytes, and TGF-B1. Cluster 5 was apoptosis with the keywords autophagy, p53, reactive oxygen species, stat3, specificity protein 1, photodynamic therapy, and xenograft. Cluster 6 was metastasis with the keywords prognosis, tumorigenesis, cancer-associated fibroblasts, microRNA, and tumor microenvironment.

The limitation of this study was its use of only the Scopus database. Future biometric studies should include other databases, such as the Web of Science and Dimensions AI. Moreover, gray journals should be carefully evaluated.

Conclusion

The bibliometric analysis performed in this study provides information about research on the molecular biology of OSCC published between 1992 and 2023. The results showed six clusters of research: epidermal growth factor receptor, invasion, epithelial–mesenchymal transition, angiogenesis, apoptosis, and metastasis. Based on these findings, further research on OSCC should focus on the therapeutic treatment of oral cancer. Overall, there has been a significant increase in research on oral cancer, particularly in the last decade. This may reflect the increasing number of cases of OSCC in the population and the potential for tumor resistance against chemotherapeutic agents.

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

IG and IS independently searched the database and evaluated the title and abstract to exclude irrelevant papers. Finally, HG, DH, and RL analyzed the search result and collaborated with the team to develop the final version of the data. AA reviewed the possibility of bias for this study. 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.

References

1. Siegel, RL, Miller, KD, and Jemal, A. Cancer Statistics. CA: A Cancer J Clinicians (2019) 69:7–34. doi:10.3322/caac.21551

CrossRef Full Text | Google Scholar

2. Moro, JDS, Maroneze, MC, Ardenghi, TM, Barin, LM, and Danesi, CC. Oral and Oropharyngeal Cancer: Epidemiology and Survival Analysis. Einstein (2018) 16:eAO4248. doi:10.1590/s1679-45082018ao4248

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Ferreira, AKA, Carvalho, S, Granville-Garcia, AF, Sarmento, D, Agripino, G, Abreu, M, et al. Survival and Prognostic Factors in Patients With Oral Squamous Cell Carcinoma. Medicina Oral Patología Oral y Cirugia Bucal (2021) 26:e387–e392. doi:10.4317/medoral.24242

CrossRef Full Text | Google Scholar

4. Amtha, R, Gunardi, I, and Ching Cheong, S. Oral Mucosal Lesion Detection Accuracy Post Lectures and Tests in Clinical Dental Students. J Int Dent Med Res (2018) 11:101–6.

Google Scholar

5. Yao, Q, Lyu, PH, Ma, FC, Yao, L, and Zhang, SJ. Global Informetric Perspective Studies on Translational Medical Research. BMC Med Inform Decis Mak (2013) 13:77. Epub ahead of print 2013. doi:10.1186/1472-6947-13-77

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Hassona, Y, and Qutachi, T. A Bibliometric Analysis of the Most Cited Articles About Squamous Cell Carcinoma of the Mouth, Lips, and Oropharynx. Oral Surg Oral Med Oral Pathol Oral Radiol (2019) 128:25–32.e6. doi:10.1016/j.oooo.2019.01.076

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Gao, X, Wang, S, Tian, Z, Wu, Y, and Liu, W. A Bibliometric Analysis on Studies of Nanomedicine Applications in Head and Neck Squamous Cell Carcinoma. Translational Cancer Res (2021) 10:251–60. doi:10.21037/tcr-20-2852

CrossRef Full Text | Google Scholar

8. Jiang, Z, Wu, C, Hu, S, Liao, N, Huang, Y, Ding, H, et al. Research on Neck Dissection for Oral Squamous-Cell Carcinoma: A Bibliometric Analysis. Int J Oral Sci (2021) 13:13. Epub ahead of print 1 December 2021. doi:10.1038/S41368-021-00117-5

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Melo, G, Flausino, CS, Darella, IK, Miguel, AFP, Martins Júnior, PA, and Rivero, ERC. Top 100 Most-Cited Articles on Intraoral Squamous Cell Carcinoma and its Risk Factors: A Bibliometric Study. Braz Oral Res (2022) 36:e030. Epub ahead of print 2022. doi:10.1590/1807-3107BOR-2022.VOL36.0030

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Zhao, T, Hu, H, Chen, X, Liu, Y, Wang, H, and Li, X. Mapping Trends and Hotspots Regarding Oral Carcinoma and Macrophages: A Bibliometric Analysis of Global Research. Am J Transl Res (2022) 14:4617–27.

PubMed Abstract | Google Scholar

12. Lin, K, Song, LJ, Ma, J, Zhang, T, You, D, and He, Y. Identification of Cancer Hallmark-Associated Gene and lncRNA Cooperative Regulation Pairs and Dictate lncRNA Roles in Oral Squamous Cell Carcinoma. J Cell Mol Med (2020) 24:5213–23. doi:10.1111/jcmm.15174

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Yadav, A, Kumar, B, Datta, J, Teknos, TN, and Kumar, P. IL-6 Promotes Head and Neck Tumor Metastasis by Inducing Epithelial-Mesenchymal Transition via the JAK-STAT3-SNAIL Signaling Pathway. Mol Cancer Res (2011) 9:1658–67. doi:10.1158/1541-7786.mcr-11-0271

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Shinriki, S, Jono, H, Ota, K, Ueda, M, Kudo, M, Ota, T, et al. Humanized Anti-Interleukin-6 Receptor Antibody Suppresses Tumor Angiogenesis and In Vivo Growth Humanized Anti-Interleukin-6 Receptor Antibody Suppresses Tumor Angiogenesis and In Vivo Growth of Human Oral Squamous Cell Carcinomahuman Oral Squamous Cell Carcinoma. Clin Cancer Res (2009) 15:5426–34. doi:10.1158/1078-0432.ccr-09-0287

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Kang, MK, Kim, RH, Kim, SJ, Yip, FK, Shin, KH, Dimri, GP, et al. Elevated Bmi-1 Expression Is Associated With Dysplastic Cell Transformation During Oral Carcinogenesis and Is Required for Cancer Cell Replication and Survival. Br J Cancer (2007) 96:126–33. doi:10.1038/sj.bjc.6603529

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Inaba, H, Sugita, H, Kuboniwa, M, Iwai, S, Hamada, M, Noda, T, et al. Porphyromonas Gingivalis Promotes Invasion of Oral Squamous Cell Carcinoma Through Induction of ProMMP9 and its Activation. Cell Microbiol (2014) 16:131–45. doi:10.1111/cmi.12211

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Chen, SF, Chang, YC, Nieh, S, Liu, CL, Yang, CY, and Lin, YS. Nonadhesive Culture System as a Model of Rapid Sphere Formation With Cancer Stem Cell Properties. PLoS One (2012) 7:e31864. Epub ahead of print 16 February 2012. doi:10.1371/JOURNAL.PONE.0031864

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Okumura, K, Itoh, A, Isogai, E, Hirose, K, Hosokawa, Y, Abiko, Y, et al. C-Terminal Domain of Human CAP18 Antimicrobial Peptide Induces Apoptosis in Oral Squamous Cell Carcinoma SAS-H1 Cells. Cancer Lett (2004) 212:185–94. doi:10.1016/j.canlet.2004.04.006

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Bernabé, DG, Tamae, AC, Biasoli, ÉR, and Oliveira, SH. Stress Hormones Increase Cell Proliferation and Regulates Interleukin-6 Secretion in Human Oral Squamous Cell Carcinoma Cells. Brain Behav Immun (2011) 25:574–83. doi:10.1016/j.bbi.2010.12.012

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Hu, Y, He, MY, Zhu, LF, Yang, CC, Zhou, ML, Wang, Q, et al. Tumor-Associated Macrophages Correlate With the Clinicopathological Features and Poor Outcomes via Inducing Epithelial to Mesenchymal Transition in Oral Squamous Cell Carcinoma. J Exp Clin Cancer Res (2016) 35:12. Epub ahead of print 15 January 2016. doi:10.1186/S13046-015-0281-Z

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Yang, Y, Chen, D, Liu, H, and Yang, K. Increased Expression of lncRNA CASC9 Promotes Tumor Progression by Suppressing Autophagy-Mediated Cell Apoptosis via the AKT/mTOR Pathway in Oral Squamous Cell Carcinoma. Cell Death Dis (2019) 10:41. Epub ahead of print 2019. doi:10.1038/S41419-018-1280-8

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Ramos, DM, But, M, Regezi, J, Schmidt, BL, Atakilit, A, Dang, D, et al. Expression of Integrin β6 Enhances Invasive Behavior in Oral Squamous Cell Carcinoma. Matrix Biol (2002) 21:297–307. doi:10.1016/s0945-053x(02)00002-1

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Law, ZJ, Khoo, XH, Lim, PT, Goh, BH, Ming, LC, Lee, WL, et al. Extracellular Vesicle-Mediated Chemoresistance in Oral Squamous Cell Carcinoma. Front Mol Biosci (2021) 8:629888. Epub ahead of print 9 March 2021. doi:10.3389/FMOLB.2021.629888

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Li, YY, Tao, YW, Gao, S, Li, P, Zheng, J, Zhang, S, et al. Cancer-Associated Fibroblasts Contribute to Oral Cancer Cells Proliferation and Metastasis via Exosome-Mediated Paracrine miR-34a-5p. EBioMedicine (2018) 36:209–20. doi:10.1016/j.ebiom.2018.09.006

PubMed Abstract | CrossRef Full Text | Google Scholar

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