Inflammation-related research within the field of bladder cancer: a bibliometric analysis

Background: In recent years, the link between inflammation and bladder cancer(BC) has received much attention. However, there were no relevant bibliometric studies to analyze the inflammation-related research within this field of BC.

Methods: We selected Web of Science Core Collection (WOSCC) as the data source to obtain articles and reviews on inflammation-related research within te field of BC from WOSCC’s inception to October 10, 2022. The collected data were meticulously and manually screened, after which we used VOSviewer, CiteSpace, Biblioshiny and an online analysis platform (https://bibliometric.com/) to perform bibliometric analysis on the data and visualize the results.

Results: A total of 4301 papers related to inflammation-related research within this field of BC were included in this study.The number of publications has steadily increased over the last decades (R²=0.9021). The top contributing country was the United States, O’Donnell, Michael A was the most published authors, the leading contributing institution was the University of Texas, and the leading contributing journal was JOURNAL OF UROLOGY. The keywords co-occurrence analysis indicated that “immunotherapy,” “inflammation-related biomarkers,” and “tumor microenvironment” were the hot spots and frontiers of research in this field.

Conclusion: This study clarifies the contribution of countries, institutions, authors, and journals in inflammation-related research within this field of BC through a bibliometric approach and identifies research hotspots and frontiers in the field. Notably, these findings can help researchers to understand more clearly the relationship between inflammation and BC.

Introduction

Bladder cancer (BC) is a malignancy with a high incidence that usually presents as painless, intermittent hematuria visible to the naked eye (1). The Global Cancer Statistics 2020 report shows approximately 573,000 new cases and 213,000 deaths worldwide (2).Notably, the development and progression of BC are associated with many factors, including smoking, alcohol abuse, and exposure to polycyclic aromatic hydrocarbons or aromatic amines (3, 4). More recently, a close association between inflammation and the development of BC has also been found (5).

Inflammation is a defense response of the organism to stimuli, a mechanism by which the immune system neutralizes or eliminates injurious stimuli and initiates regeneration or healing (6). During the development of BC, excessive or persistent inflammation has been shown to promote BC development by activating a range of inflammatory molecules and signals within the tumor microenvironment (7, 8).Consequently, the relationship between inflammation and BC is gaining more scholarly attention (9–11). For instance, XH’s study revealed the role of UBC9 in regulating inflammatory signaling in BC and that lack of UBC9 leads to BC progression, mainly through inflammatory activation and stem cell-like population formation (12). A clinical study by WZ and his colleagues demonstrated that the systemic immune-inflammation index (SII) was an inflammation-related biomarker with more predictive power than traditional biomarkers and could predict the prognosis of patients undergoing radical cystectomy (RC) prognosis (13). Therefore, these indicate that inflammation is closely related to BC’s occurrence, development, and prognosis.

Faced with vast and rapidly developing information in this field, researchers must devote a lot of time and effort to searching and reviewing publications. As a result, we need new approaches to extract and analyze the literature to obtain necessary and relevant information. Bibliometrics is a well-recognized method for the systematic evaluation of a research field, which can clarify the contributions of various countries and institutions in a field, identify active researchers and potential collaborators, and describe trends in the evolution of research directions (14, 15). Many bibliometric articles on BC or inflammation have recently been published (16, 17). Notably, “inflammation” is one of the most critical topics in a bibliometric analysis of the top 100 most cited manuscripts in BC research published in 2020 (16). However, no investigator has published a bibliometric study that includes both BC and inflammation. To fill this research gap, we provided an accurate description of the literature in inflammation-related research within this field of BC through bibliometric approaches.

Methods

Data source

The Web of Science(WOS) database is the data source for this study. In the academic world, WOS is considered one of the most widely literature databases and is widely used in bibliometric studies (18–20). Therefore, we selected the Web of Science Core Collection (WOSCC) of Science Citation Index Expanded (SCIE) to search publications on inflammation and BC.

Data search strategy

Two authors (DZX and XWY) conducted a comprehensive literature search on October 10, 2022, for topics related to both “BC” and “inflammation”, TS = “inflammation” and “bladder cancer” and their synonyms (Supplementary Table 1) (16, 21, 22). The time frame was from the time of the WOS database to the present. Only papers published in English were included in our database. We only included articles and reviews in our research; other forms of publication, such as letters and meetings, were excluded. Two investigators (DZX and XWY) manually reviewed the titles, keywords, abstracts, and even the full text to exclude relevant literature unrelated to the study topic. The specific process is shown in Figure 1.

FIGURE 1

Figure 1 Flowchart of literature search and selection process. Two investigators manually reviewed the titles, abstracts, and even the full text of the literature to exclude relevant literature unrelated to the study topic.

Data extraction and collection

We downloaded the “complete record” (including author, source, title, publication, abstract, keywords, address, references, grants, etc.) of all the retrieved documents (4301 publications, including 3747 articles and 554 reviews) from the WOS database. Then we exported them in plain text and tab-delimited (win, UTF8) formats and named them “Downloaded_xx” for the bibliometric tool. The obtained bibliographic information was edited and filtered using Endnote 2020, followed by Microsoft Excel 2022 for basic analysis and graphing. It is worth mentioning that some inherent flaws within the WOS database were corrected. For example, publications from Taiwan were included in China, and England, Scotland, and Ireland were merged into the UK.

Bibliometric analysis

We used the latest versions of bibliometric tools, including VOSviewer 1.6.18, CiteSpace 6.1.R3, and Biblioshiny 4.0, to obtain the most comprehensive data analysis results possible.

VOSviewer is a common bibliometric tool used to build and visualize bibliometric networks. We constructed a co-linear network graph of institutions, journals, and authors using various functions of VOSviewer. We also constructed a network and clustering graphs of authors’ keyword contributions based on text data. Finally, we processed the data that VOSviewer could not recognize, such as merging the author information “O’Donnell, Michael” with “O’Donnell, Michael A” and the keyword information “biomarkers” with “biomarker” and “bacillus Calmette-Guerin” with “BCG”.

CiteSpace has the advantage of being able to better reflect bibliometric data over time (23). Therefore, we used CiteSpace to visualize inter-country and inter-institutional collaborations, perform cluster analysis of keywords, and construct a dual-map overlay of journals. We also identified top 50 references with the strongest citation Bursts in the last 10 years through CiteSpace. Furthermore, we adjusted the parameter settings of CiteSpace as follows: selection criteria (g-index k=25), and pruning (Pathfinder, Pruning sliced networks),time span (1979–2022), and years per slice.

The online bibliometric platform Biblioshiny 4.0 in the R4.1.2 language environment was used to analyze the literature regarding the institution of attribution and author and subject terms. In addition, we constructed collaborative network graphs between countries using the online platform (https://bibliometric.com/).

Results

Publication outputs and trends

We included 3747 articles (87.1%) and 554 reviews (12.9%) for the study’s total of 4301 publications. The first literature on inflammation and BC was published in 1972, and the number of publications skyrocketed from 1991, reaching a peak in 2019 (Figure 2). A fitted curve was made for the trend in annual publication volume, with the functional equation y = 0.1664x2 - 2.9526x + 18.419(R² = 0.9021, x is the year, y is the number of annual publications). Notably, this formula is a good reflection of the relationship between the year and the number of publications,however the final prediction may be subject to a slight error because only publications from 01/01/2022 to 10/10/2022 were included in this study.

FIGURE 2

Figure 2 The specific amount of annual publications regarding BC and inflammation from 1972 to 2022. There is an upward trend in the number of articles on inflammation-related research within the field of bladder cancer from 1972 to 2022.The * sign in the figure indicates that the information on published publications in 2022 is incomplete because this study only collected relevant publications from 01/01/2022 to 10/10/2022.

Most productive countries/regions

In this study, we found that 92 countries/regions contributed to inflammation-related research within the field of BC. Table 1 shows that the most published country was the United States of America(USA) (n=1290, 29.99%), followed by China and Japan. Among the top 5 countries in terms of the number of publications, each country’s number increased yearly (Figure 3A). The average number of citations of the documents from the USA was the highest (average citations per document=50.06) and higher than other countries/regions. As shown in Figure 3B, there is close collaboration between countries/regions in inflammation-related research within the field of BC. As shown in Figure 3C, the USA is at the core of global collaboration in inflammation-related research within the field of BC. Additionally.As shown in Figure 3D, China and the United States have continuously published papers in this field from 1972 to 2022, and the United States has published more papers than China before 1990.Seven countries were found to have a centrality ≥0.01 in Figure 3D.Furthermore, depending on the color of the nodes, we can see that the SWEDEN(1972)the first countries to conduct research in the field of inflammation and BC.

TABLE 1

Table 1 Top 20 most productive countries in inflammation-related research within the field of bladder cancer.

FIGURE 3

Figure 3 Map of the country’s contribution. (A) The annual publications of the top 5 countries from 1972 to 2022. (B) The international cooperation analysis among different countries. Thicker lines indicate closer cooperation between countries, while conversely, thinner lines indicate less close cooperation between countries. (C) The overlay visualization map of country co-authorship analysis conducted by VOSviewer. Each node represents a country, and the larger size of the node represents the larger number of publications in that country. The density of links between two nodes reflects the co-authorship relationship between countries. (D) The co-occurrence map of countries/regions in inflammation-related research within the field of bladder cancer (T≥25). Note: The node’s size reflects the frequency of co-occurrence, and a larger node indicates a higher frequency of contribution. Connected lines indicate co-occurrence relationships. The colors of nodes and lines represent different years, from 1972 to 2022, changing from gray to red over time. Nodes with purple circles imply higher intermediate centrality (>0.1).

Analysis of institutional output

As shown in Figure 4A, the institutions with the most publications in inflammation-related research within this field of BC were the University of Texas and the University of Iowa. With the color gradient of Figure 4A, we can classify organizations into different categories. Some institutions, such as Kyoto University and the University of Wisconsin, were given a darker color with a larger average appearing year (AAY). Furthermore, Sun Yat-sen University and the University of Jordan were given a lighter color with smaller AAY values. However, cooperation between different institutions seems limited to their own countries, as there appears to be little previous cross-country collaboration between various institutions. The University of Texas was the center of the institutional collaboration network map, and only it had a centrality of more than 0.1(Figure 4B).

FIGURE 4

Figure 4 Map of the institutions’ contribution. (A) An overlay visualization map of institutional collaboration analysis performed by VOSviewer. Each institution is represented as a node. Links between two nodes indicate co-authorship. According to the color gradient in the lower right corner, different nodes are given different colors (based on larger average years of appearance (AAY). (B) Network visualization map of institutional collaborations generated by CiteSpace. In this map, a node represents an institution, and the size of each node represents its relative quantity of research output. Each line represents the strength of the cooperation relationship between the two institutions.

Analysis of influential authors

As Table 2 shows, O’Donnell, Michael A. was the most prolific author, but this author wasn’t among the top 10 co-cited authors. Despite its small number of publications, Lamm, Donald remained the most co-cited author. Furthermore, 7 of the top 10 authors in terms of the number of publications and 6 of the top 10 co-cited authors came from the USA. The authors’ co-citation relationships are shown in Figure 5A, and the top 3 authors in terms of total link strength are Lamm, Donald, Bohle, Andreas, and Herr, Harry. Figure 5B shows that O’Donnell, Michael A. published many papers from 2000 to 2022, Jackson, Annette M. published documents mainly before 2004, and Liu, Youhua, Shariat, and Shahrokh F have published numerous articles in recent years.

TABLE 2

Table 2 The top10 authors and co-cited authors of inflammation-related research within the field of bladder cancer.

FIGURE 5

Figure 5 Map of the authors’ contribution. (A) The network visualization map of author co-citation analysis generated by VOSviewer. Each author is represented as a node, and the node size is proportional to the sum of citations. Links between two nodes indicate co-citation relationships (B). The publications of the Top10 authors in the field over the years. The size of the circle indicates the number of documents (N. documents) and the color shading indicates the total number of citations (TC).

Most active journals

From Table 3, we can see the basic information about the top 10 most published journals and the top 10 most cited journals within the field of inflammation and BC. The Journal of urology was the field’s most published and cited. More than 7 of the top 10 most influential journals were categorized in the Q1 or Q2 journal citation reports (JCR) region. In addition, Figure 6 shows the co-occurrence network of the journals. As shown, Journal of Urology, Urologic Oncology Seminars and Original Investigations, and European Urology are the journals with the highest number of publications and are at the center of the overall co-occurrence network. Figure 7 has four main reference paths in orange and green. This means that studies published in clinical medicine/biology/molecular journals within the field of inflammation and BC were mainly cited by papers published in genetics/healthcare/nursing journals.

TABLE 3

Table 3 The top10 most productive and co-cited journals of inflammation-related research within the field of bladder cancer.

FIGURE 6

Figure 6 Network visualization map of journal co-occurrence. Network visualization map of journal co-occurrence analysis generated by VOSviewer. Each node represents a journal, and the larger size of the node represents the larger number of publications in that journal. The density of links between two nodes reflects the co-authorship relationship between journals.

FIGURE 7

Figure 7 The dual-map overlay of journals. The dual-map overlay of journals related to inflammation-related research within the field of bladder cancer. Notes: The citing journals were on the left, and the cited journals were on the right.

References with the strongest citation bursts Table 4 shows the top 10 most cited papers in the inflammation and BC field. Only papers with more than 200 citations were included, and only one was cited more than 500 times. Most of the articles in the table were published before 2010. Additionally, we conducted a citation burst analysis using CiteSpace to find the Top 50 references with the strongest citation bursts in the last decade. (Figure 8). Notably, the article published by Jemal A in 2011 was the most cited literature about inflammation and BC, with the highest citation intensity in 10 years. This article received much attention mainly from 2012 to 2016 (34). Likewise, Robertson AG’s paper on the inflammation-related molecular characterization of muscle-invasive BC has been heavily cited since 2020, and this article is a recent hot topic in the field (35).

TABLE 4

Table 4 Top 10 references with the strongest citation for inflammation-related research within the field of bladder cancer.

FIGURE 8

Figure 8 Top 50 references with the strongest citation bursts in the last decade. The dual-map overlay of journals. The red bars in this figure represent the burst period of the reference.

Analysis of co-occurring keywords

The top 3 most frequent keywords in inflammation-related research within the field of bladder cancer are “Bladder Cancer”, “BCG”, and “Immunotherapy”, ”Immune Checkpoint Inhibitor, ” “Tumor Microenvironment,”and”Biomarker” were the top 10 keywords in the average publication year of keyword occurrence(Table 5). 73author keywords with at least 20 occurrences were extracted and visualized by VOSviewer, and this map reflects the hot spots at different times (Figure 9A). Importantly, this map shows the transition of keywords from older “interleukin 2”, “BCG”, and “TNFα” to the newer “pdl-1”, “tumor microenvironment”, and “immune checkpoint inhibitor”. Figure 9B shows the keyword co-occurrence network in this field in the last 3 years, and it can be seen that “tumor microenvironment” and “immune checkpoint inhibitors” are still relatively new keywords. As shown in Figure 10, Keywords were divided by citespace into 5 clusters based on relevance, the first cluster was “#0 bladder cancer,” followed by “#1 inflammation” and “#2 prognostic value.” The year in which the node representing the keyword appears is the first year in which it appears in the database of this study, the shifts between nodes reveal the shifting focus in inflammation-related research within the field of BC. From 1992 to 2002, research in inflammation and BC focused on topics related to “BCG” (36), “interleukins” (37), and “gene expression” (38). From 2002 to 2012, “prognosis” (39), “biomarker” (40), and “survival” received more attention. In addition, “tumor microenvironment” (41), “ muscle-invasive bladder cancer” (42), and “invasion” (43) became new foci in the last decade, from 2012-2022.Additionally, Supplementary Figure 1 shows the relationship between authors, institutions, and keywords in inflammation-related research within the field of BC.O’Donnell, Michael A., Dinney, Colin P. and Kamat, Ashish M. from the University of Texas and the University of Iowa focused on the keywords including “expression”, “survival”, “biomarkers”, “immunotherapy”, and “BCG”.

TABLE 5

Table 5 The top 10 terms with the most frequently occurring and newest average publication year of inflammation-related research within the field of bladder cancer.

FIGURE 9

Figure 9 Map of the keywords ‘ contribution. (A) Overlay visualization map of keywords analysis in inflammation-related research within the field of bladder cancer based on the VOSviewer. The node size is proportional to the sum of occurrence times. The color of each node implies the average appearing year according to the AAY. (B) Overlay visualization map of keywords analysis in inflammation-related research within the field of bladder cancer in the last 3 years.

FIGURE 10

Figure 10 The timeline view map of keywords co-citation. CiteSpace generated the map. The years from 1979 to 2022 are arranged horizontally at the top. Each point represents an author keyword, and connecting lines represent the presence of co-linear relationships. This view map implies the differences in the appearance time point of 5 clusters—the bigger the circle size, the more research on the topic. The LLR algorithm derives the clusters.

Discussion

Global publication trends in inflammation-related research within the field of BC

In bibliometrics, changes in the number of publications can reflect the development of a field (16). From 1972 to 1990, which we call the nascent period, 95 articles were published. At this time, the number of publications is volatile, with an average of only 5.5 publications per year. This may herald the initial emergence of research related to inflammation and BC during this period. From 1991 until 2011, we refer to this period as a stable upward period. During this time, the number of publications steadily increased to an average of 85 per year. The third phase is the period of rapid growth from 2012 to the present day. During this period, inflammation-related research within the field of BC attracted the attention of many scientists, and the average number of publications in this field exceeded 100 per year. In addition, we re-searched the relevant papers published in 2022 according to our search strategy and manually screened them. We found 380 articles and reviews published in the field of inflammation and BC in 2022, which is not much different from the prediction result of our fitting curve.This indicates that our fitted curves have some predictive function.

Major contributors in inflammation-related research within the field of BC

Countries and institutions

Almost all of the top 20 countries in Table 1 are developed countries. They have made an outstanding contribution to inflammation-related research within the field of BC. The USA had the highest number of published literature and citations and had the most significant link strength in the map of country co-authorship. From Figure 3, we can see that in 2015, China started to publish more articles per year than the USA (Figure 3A). However, the average number of citations per document in China was only 20.8 (Table 1). This evidence demonstrates that the United States is the most significant contributor to the field, followed by China. This was also consistent with the findings of many other bibliometric studies (44, 45).

As shown in Figures 4A, B, the University of Texas is at the center of the network of institutional collaboration with betweenness centrality> 1, and it has the largest number of publications. Therefore, these statements indicate that the University of Texas is the foremost research institution in inflammation and BC. However, the intensity of cooperation between institutions from different countries still needs to be increased. We hope that countries can strengthen global collaborations to promote the prosperity of research in this field.

Authors

Table 2 shows that O’Donnell, Michael A is the author with the highest number of publications. Importantly, he published many articles in this field from 1999 to 2022 (Figure 5A). His paper BCG immunotherapy of bladder cancer: 20 years on published in LANCET, summarizes the progress of bacillus Calmette-Guerin (BCG) treatment of bladder cancer from 1979 to 1999, making a massive contribution to the field of inflammation and BC (26).However, his other papers published in the field are rarely cited.Although having many publications, he is not among his field’s top 10 co-cited authors. Lamm, Donald is the top 1 co-cited author in the field, although he does not have as many publications and still occupies core locations in the co-citation network (Figure 5A). His publication on BCG treatment of BC complications through inflammatory response was the most cited article in this field,which describes the inflammatory mechanisms of BCG for BC and briefly analyzes the complications of immunotherapy for BC (24). In summary, the influence of an author may not be solely determined by the number of publications; O’Donnell, Michael A and Lamm, Donald are all reputable authors within the field of inflammation and BC.

Journals

The Journal of Urology is the most published and cited journal in the field of inflammation and BC and is also the most active journal (Table 3). It is worth mentioning that in another bibliometric study on urology, the Journal of urology was also the most influential (46). More than 7 of the top 10 most influential journals were categorized as Q1 or Q2 journals. This finding indicates the relatively high level of investigations receiving attention in inflammation-related research within this field of BC. In addition, the Journal of Urology, Cancer Research, and Journal of Clinical Oncology was the Top 3 journals with the co-citation intensity, this may be related to the fact that they were categorized as Q1 and have a high IFs. Therefore, this may indicate that the articles published in these journals deserve more attention.

Hotspot evolution, knowledge structure, and emerging topics

References and keywords analysis

Reference analysis and keyword analysis are among the important methods of bibliometric research by which we can analyze the evolution of hot spots within our field of study (47). Six of the ten most cited articles in the field of inflammation and BC were related to immunotherapy, while two were related to the tumor microenvironment (Table 4). As seen in Figure 8, immunotherapy continues to see an explosion of high-quality articles published or cited in recent years. Similarly, studies on inflammation-related biomarkers and the tumor microenvironment have received much attention in the last 10 years. In the keyword analysis, we can see from Table 5 that immunotherapy is the 3th-ranked keyword. In contrast, BCG, within the scope of immunotherapy, was the 2nd-ranked keyword, and biomarkers was in the 9th keywords. In Figure 9A, we found that immunotherapy and biomarkers whose related keywords are located in the figure’s center are the keyword network’s core. At the same time, tumor markers are colored yellow, representing a later year of appearance. Figure 10 illustrates the changing hotspots within the field of inflammation and BC, and it is clear to see that immunotherapy has been a hotspot of interest for the past few decades. Notably, inflammation-related biomarkers emerged as a hotspot more than 10 years ago, and the tumor microenvironment only started to gain attention a few years ago. In summary, immunotherapy is a topic that has been widely studied in inflammation and BC. Moreso, inflammation-related biomarkers are gradually gaining attention during the development of this field, and tumor microenvironment is an emerging hotspot within the field.

Immunotherapy

Since the 1970s, research related to immunotherapy within the field of inflammation and BC has been growing rapidly. The earliest immunotherapy for BC was BCG, which inhibits BC cell proliferation by directing the inflammatory response through the attachment of fibronectin and integrin α5β1 to urinary epithelial cells (25) here were also many studies on BCG in the burst citation literature in the last decade (Figure 8) (25, 48, 49). In addition to BCG, immunotherapy commonly used for BC includes immune checkpoint inhibitors and cytokines. Immune checkpoint inhibitors, including PD-1, PD-L1, and CTLA4, inhibit the tumor’s division, growth, and invasion by affecting the immune response of the tumor (50). The study of immune checkpoint inhibitors, especially PD-1 and PD-L1, was an emerging hotspot in inflammation and BC. Many relevant papers have been published recently and are heavily cited in the last decade (50–54).Moreover, the central cytokines studied within the field of inflammation and BC are interleukins (IL), interferons (INF), and tumor necrosis factor (TNF). Among them, Slaton, Joel’s study on INF was the 5th most cited article (Table 4). This study demonstrated that IFN-α affects the anti-angiogenic activity of BC cells, which is likely to be a new direction for BC treatment (27). Moreso, studies on IL have been long-standing. As shown in Figure 10, Research on IL first appeared in 1889 and continued to attract scholarly interest until 2022 (55–57). Therefore, immunotherapy has been the focus of attention in inflammation and BC and deserves the focus of scientists.

Inflammation related biomarkers

Biomarkers are biochemical indicators that can reflect specific structural or functional changes in the body (58). Notably, there is a desire to find a perfect biomarker to predict BC’s occurrence, progression, and prognosis (59). The neutrophil-to-lymphocyte ratio (NLR) is one of the most exciting inflammatory biomarkers, and high NLR decreases lymphocyte responsiveness to malignancy, thus affecting prognosis (60). Figure 9A shows that NLR has received significant attention in the last two years. In addition, many of the 50 most cited papers in the previous ten years investigated the relationship between NLR and BC prognosis (60–62) (Figure 8). C-reactive protein (CRP) is another inflammation-related biomarker. CRP is part of the innate immune system and has received a great deal of scholarly attention in inflammation and BC. A study by Gakis,Georgios demonstrated the prognostic impact of CRP on BC and has been heavily cited in the last decade (63). To date, no biomarkers can perfectly predict BC’s diagnosis, treatment and prognosis. Therefore we require added studies to identify better and more comprehensive markers.

Tumor microenvironment

The microenvironment of BC is a complex of multiple factors that promote and inhibit anti-tumor immune responses, interacting through inflammation-related immune checkpoint molecules, cytokines, and chemokines (64). The tumor microenvironment has received increasing attention in inflammation and BC research in recent years (65–67). The 10th most cited article in this study demonstrated (Table 4) that BC’s tumor microenvironment changes are associated with inflammatory cells (including regulatory T cells, tumor-associated macrophages, and other immunosuppressive cells). This finding has also been widely recognized by peers (32). In addition, good progress has recently been made regarding studying giant tumor cells within the tumor microenvironment. Additionally, massive infiltration of M2 phenotype tumor giant cells in BC has been demonstrated to be associated with tumor aggressiveness (68). These results suggest that the tumor microenvironment may be a new direction for a future breakthrough in inflammation and BC.

Future research directions and hotspots

One of the standard methods of bibliometric research is to analyze the keywords of past published literature to derive future research directions and hotspots (14).In this study, we found that “tumor microenvironment”, “immune checkpoint inhibitors”, and “biomarker” were the keywords that were mentioned more often and appeared in later years (Figure 9A).We performed keyword co-occurrence in Figure 9B for the literature published in the last 3 years, and we found that “tumor microenvironment,” “immune checkpoint inhibitors,” and “biomarker” were still the keywords that appeared many times.As shown in Table 5, “tumor microenvironment,” “immune checkpoint inhibitors,” and “biomarker” average publication year of publication ranked 1st, 4th, and 10th among all keywords. In the field of inflammation and BC, biomarkers are primarily associated with inflammation, and immune checkpoint inhibitors are a type of immunotherapy. By analyzing the papers published in the past, we found that tumor microenvironment, immunotherapy, and inflammation-related biomarkers were the hotspots of research in the past years. Therefore, it is reasonable to assume that they also agree to represent the future research hotspots and development directions. In a recently published study on immunotherapy for bladder cancer, the potential of the tumor microenvironment as a future research focus was also highlighted, which aligns with our own findings (18).It suggests that our study is significant and could provide valuable insights for clinicians and researchers in the field of inflammation and BC. In the future, significant progress is expected to be made by researchers in the three areas of tumor microenvironment, immunotherapy, and inflammation-related biomarkers.

Strengths and limitation

This study is the first to describe and visualize the knowledge landscape about inflammation-related research within the field of BC. Compared to previous reviews and meta-analyses, our study has more advantages. We used several bibliometric tools to visualize the data, adding specificity and richness to the results. As with other studies, this study has some noted limitations. Firstly, our data were obtained from the WOS database, so we may need to include other relevant literature. Secondly, the language of publications included in this study is limited to English, which may lead us to overlook some essential publications. Finally, there was no uniform standard for manual selection, which can influence selection bias when obtaining the data.

Conclusions

This study clarifies the contribution of countries, institutions, authors, and journals in the field of inflammation and BC through a bibliometric approach. It also identifies research hotspots and frontiers in the field. Notably, research topics such as “immunotherapy”, “biomarkers”, and “tumor microenvironment” are hotspots and frontiers in the field of inflammation and BC. Therefore, these findings can help researchers to understand more clearly the relationship between inflammation and BC.

Data availability statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Author contributions

ZD and NT (First Author): conceptualization, methodology, software, investigation, formal analysis, writing - original draft. WX: data curation, writing - original draft. Xu Lei: visualization, investigation. TZ: software, validation. NY (Corresponding Author):conceptualization, funding acquisition, resources, supervision, writing - review & editing. ZD and NT have contributed equally to this work and share first authorship. All authors contributed to the article and approved the submitted version.

Funding

This work was supported by Key Projects of the University of South China (grant number: USC (2019) No. 02).

Acknowledgments

The authors thank AiMi Academic Services for their effort in polishing the English content of this manuscript.

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.

Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fonc.2023.1126897/full#supplementary-material

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