What this is
- This research analyzes publications on in colorectal cancer (CRC) from 2015 to 2024.
- It identifies trends, key contributors, and emerging research topics using bibliometric tools.
- The study emphasizes the importance of understanding mechanisms for improving immunotherapy strategies.
Essence
- The analysis reveals a significant increase in research output on in CRC, particularly from China, while the USA and Germany show higher citation impacts. Key research areas include tumor microenvironment and immune signaling pathways.
Key takeaways
- Research output on in CRC grew from 23 publications in 2015 to a peak of 104 in 2023, indicating a rising global interest in this area.
- China contributed 287 articles (50.09% of total), leading in publication volume, while the USA had a higher average citation count of 81.40 citations per article.
- Emerging research topics include tumor microenvironment, CD47 signaling, and MS4A4A, which are pivotal for developing effective immunotherapy strategies.
Caveats
- The analysis is limited to publications indexed in the Web of Science Core Collection, potentially excluding relevant literature from other databases.
- Exclusion of non-English publications may introduce bias towards studies published in high-impact journals.
- Citation metrics may not fully reflect the influence of newer studies due to the time needed for articles to accrue citations.
Definitions
- immune escape: Mechanism by which tumor cells evade detection and destruction by the host immune system, facilitating tumor growth and metastasis.
- bibliometric analysis: Quantitative analysis of publications and citations to assess research trends and impact in a specific field.
AI simplified
Introduction
Colorectal cancer (CRC) is one of the most common malignant tumors in the world, which brings a serious disease burden to the whole world (1ā3). Immune escape plays an important role in CRC, which is the mechanism by which tumor cells escape the detection and destruction of host immune system, thus promoting tumor growth and metastasis (4ā7). On the other hand, immune escape will also affect the effectiveness of immunotherapy by affecting immune checkpoints and tumor microenvironment (8ā10).
Despite the increasing recognition of immune escapeās critical role, detailed molecular pathways and effective therapeutic strategies in CRC remain elusive. More and more studies have realized the importance of immune escape in the occurrence, development and treatment of CRC (11ā14). Therefore, the comprehensive analysis of research trends and the determination of influential research and hot directions are very important to guide future research work. Moreover, there is a lack of comprehensive analysis of the research status and future direction of immune escape in CRC.
The purpose of this study is to make a bibliometric analysis of the research prospect of CRC immune escape, and to check the trend, main contributors and emerging research topics. Through bibliometric and visual analysis of the publications of Web of Science (WOS) from 2015 to 2024, we try to describe the evolution of this field by analyzing the research status in this field, and emphasize the potential direction of future research.
Method
Database and search strategy
The literature for this bibliometric analysis was retrieved from the Web of Science Core Collection, covering the period from January 1, 2015, to December 31, 2024. To minimize discrepancies caused by ongoing updates to the database, all searches were performed on a single day (February 12, 2025). The initial search yielded 597 records. For the purposes of this study, only articles and reviews published in English were included, while other types of publications such as reprints, book chapters, conference abstracts, and news articles were excluded. After applying these inclusion criteria, 573 documents were retained for the analysis, consisting of 383 articles and 190 reviews. The detailed screening process is shown in Figure 1. Boolean operators were utilized to construct the query. The initial broad search was refined through manual screening based on abstracts and titles to include only studies explicitly addressing immune escape mechanisms in CRC, thus ensuring topic specificity. To mitigate bias from incomplete annual data, normalization by monthly averages was considered, and explicit acknowledgment of partial-year inclusion was noted in interpretation. To ensure the accuracy and reliability of the results, two researchers independently conducted the literature search and data collection.
Flowchart of the screening process.
Data collection
We extracted key data from the selected publications, including journal name, publication year, title, authors, country/region, affiliations, abstract, keywords, and references. Journal impact factor (IF) and Journal Citation Reports (JCR) category were obtained from the Web of Science. The productivity metric was based on citation count. After exporting the data, we performed cleaning by merging duplicates and correcting any spelling errors manually. The cleaned data was then analyzed further. To ensure accuracy and reliability, two authors independently extracted the data.
Data analysis
In this study, we utilized specialized tools including the bibliometrix package (https://www.bibliometrix.orgā) in R software (version 4.4.3), VOSviewer (version 1.6.20), and CiteSpace (version 6.2.R4) to data visualization and analysis (15ā17). To ensure data accuracy and reliability, two authors independently conducted the data extraction and analysis, which minimized potential errors and biases, thereby improving the quality and credibility of the study findings.
Result
An overview of publications
The current status of immune escape in CRC is illustrated in Figure 2 using R-bibliometrix. The analysis includes publications from 248 journals, with an annual growth rate of 15.93%. A total of 4,104 authors contributed to these publications, with 9 articles authored by a single individual. Articles involving international collaboration accounted for 20.24% of the total. On average, each article had 8.46 authors, 1,441 author keywords, and 39,375 references cited. The average citation lifespan of each paper, from being first noticed to becoming less recognized, was 4.2 years, and each article had been cited an average of 38.08 times.
Basic information of research of Immune escape in CRC.
The annual trend in the number of publications
The analysis of annual publications on immune escape in CRC shows a steady increase in research output over the past decade. The number of publications grew from 23 in 2015 to a peak of 104 in 2023, followed by a slight decline to 87 in 2024. This indicates consistent growth in the volume of research, with the highest publication counts observed in 2023 and 2021, as illustrated in Figure 3. Regarding citation impact, the mean citations per article exhibited considerable fluctuations. In 2015, articles averaged 64.09 citations, which increased to 92.09 in 2018. However, from 2021 onward, citation counts gradually declined, with a significant drop to 3.51 in 2024. The observed citation decline post-2021 may reflect the natural lag in citation accrual. To validate this observation, future studies could incorporate metrics such as citation half-life or field-normalized citation scores to better contextualize recent citation dynamics. As shown in Table 1 and Figure 3.
Annual output of research of Immune escape in CRC.
| Year | MeanTCperArt | N | MeanTCperYear |
|---|---|---|---|
| 2015 | 64.09 | 23 | 5.83 |
| 2016 | 45.5 | 28 | 4.55 |
| 2017 | 84.54 | 35 | 9.39 |
| 2018 | 92.09 | 35 | 11.51 |
| 2019 | 73.38 | 42 | 10.48 |
| 2020 | 54.42 | 57 | 9.07 |
| 2021 | 33.81 | 83 | 6.76 |
| 2022 | 21.37 | 79 | 5.34 |
| 2023 | 18.36 | 104 | 6.12 |
| 2024 | 3.51 | 87 | 1.75 |
Country and institution analysis
The bibliometric analysis of source countries reveals significant variations in the distribution of publications related to immune escape in CRC. China leads the field with a substantial margin, contributing 287 articles, which accounts for 50.09% of the total publications. The USA follows with 57 articles (9.95%), while Italy (34 articles, 5.93%), Germany (30 articles, 5.24%), and France (20 articles, 3.49%) round out the top five contributors. Other notable countries include Japan (15 articles, 2.62%), the United Kingdom (12 articles, 2.09%), Australia (11 articles, 1.92%), the Netherlands (10 articles, 1.75%), and Canada (9 articles, 1.57%), as presented in Table 2.
In terms of citation impact, China has an average of 28.40 citations per article. Despite having fewer publications, the USA demonstrates a much higher citation average, with 81.40 citations per article. Germany and Italy also show significant citation impact, with Germany averaging 57.10 citations per article and Italy 40.50 citations per article. These figures indicate that while China dominates in publication volume, countries like the USA and Germany have a higher citation impact per article, reflecting the global influence and visibility of their research contributions. The higher citation impact observed in research from the USA and Germany compared to China may be attributed to stronger international collaboration networks, preferences for publication in journals with wider global readership, and higher engagement in open-access publishing, all of which potentially enhance visibility and influence.
The analysis of institutional contributions identifies the leading institutions in this field. Sun Yat-sen University ranks first with 57 publications, comprising 9.95% of the total, followed closely by Fudan University with 47 articles (8.20%). UniversitƩ Paris CitƩ (39 articles, 6.81%) and Central South University (38 articles, 6.63%) rank third and fourth, respectively. The Institut National de la SantƩ et de la Recherche MƩdicale (36 articles, 6.28%) ranks fifth, followed by Nanjing Medical University and Shanghai Jiao Tong University, each contributing 35 articles (6.11%). Harvard University, with 29 publications (5.06%), ranks eighth, while Assistance Publique - HƓpitaux de Paris and the German Cancer Research Center, each with 27 publications (4.71%), complete the top ten, as shown in Table 2.
Subsequently, we used VOSviewer to analyze the collaboration network among countries and institutions that published more than five studies. This analysis visualized the relationships based on the number and contacts of publications, creating a collaborative network (Figure 4). Notably, most countries and institutions demonstrate extensive cooperation. The figure also highlights the major publishing years of different countries and institutions, revealing that certain countries or institutions, such as China and Sun Yat-sen University, are emerging as key players in this research domain.
The visualization of countryand institutionson research of Immune escape in CRC, which indicated that these countries and institutions play a crucial role in the research in this field. (A) (B)
| Rank | Country | Counts (%) | Institution | Counts (%) |
|---|---|---|---|---|
| 1 | CHINA | 287(50.09%) | SUN YAT SEN UNIVERSITY | 57(9.95%) |
| 2 | USA | 57(9.95%) | FUDAN UNIVERSITY | 47(8.20%) |
| 3 | ITALY | 34(5.93%) | UNIVERSITE PARIS CITE | 39(6.81%) |
| 4 | GERMANY | 30(5.24%) | CENTRAL SOUTH UNIVERSITY | 38(6.63%) |
| 5 | FRANCE | 20(3.49%) | INSTITUT NATIONAL DE LA SANTE ET DE LA RECHERCHE MEDICALE | 36(6.28%) |
| 6 | JAPAN | 15(2.62%) | NANJING MEDICAL UNIVERSITY | 35(6.11%) |
| 7 | UNITED KINGDOM | 12(2.09%) | SHANGHAI JIAO TONG UNIVERSITY | 35(6.11%) |
| 8 | AUSTRALIA | 11(1.92%) | HARVARD UNIVERSITY | 29(5.06%) |
| 9 | NETHERLANDS | 10(1.75%) | ASSISTANCE PUBLIQUE HOPITAUX PARIS | 27(4.71%) |
| 10 | CANADA | 9(1.57%) | GERMAN CANCER RESEARCH CENTER | 27(4.71%) |
Journals and co-cited journals analysis
The bibliometric analysis of immune escape in CRC highlights the top ten journals contributing to the literature, with Front Immunol (6.46%), Cancers (5.58%), and Front Oncol (4.01%) being the leading sources. These journals are highly respected in immunology and oncology, all classified in the Q1 quartile based on impact factors. The analysis also identified the most frequently co-cited journals, including Cancer Research (1476 citations, IF 12.5, Q1), Nature (1173 citations, IF 50.5, Q1), and Clinical Cancer Research (1106 citations, IF 10.4, Q1). These journals play a pivotal role in advancing the understanding of immune escape mechanisms in cancer, reflecting the substantial influence of high-impact publications in shaping the current research landscape in this field. As shown in Table 3.
Additionally, we used VOSviewer to analyze and visualize the relationships between journals and co-cited journals. The resulting journal network and co-citation network, depicted in Figure 5, illustrate the active citation interactions among key periodicals in the research on immune escape in CRC. This network visualization highlights the collaborative nature of the field and underscores the centrality of these prominent journals in the ongoing development of this area of study.
The visualization of journalsand co-cited journalsof research of Immune escape in CRC. (A) (B)
| Rank | Journal | Counts (%) | IF (2024) /JCR division | Co-cited journal | Co-citation | IF (2024)/JCR division |
|---|---|---|---|---|---|---|
| 1 | Front Immunol | 37 (6.46%) | 5,7 (Q1) | Cancer Res | 1476 | 12.5 (Q1) |
| 2 | Cancers | 32 (5.58%) | 4.5 (Q1) | Nature | 1173 | 50.5 (Q1) |
| 3 | Front Oncol | 23 (4.01%) | 3.5 (Q2) | Clin cancer res | 1106 | 10.4 (Q1) |
| 4 | J Immunother Cancer | 15 (2.62%) | 10.3 (Q1) | Cell | 909 | 45.6 (Q1) |
| 5 | Oncoimmunology | 14 (2.44%) | 6.5 (Q1) | Front Immunol | 859 | 5,7 (Q1) |
| 6 | Int J Mol Sci | 12 (2.09%) | 4.9 (Q1) | Science | 853 | 44.8 (Q1) |
| 7 | Cancer Lett | 8 (1.40%) | 9.1 (Q1) | J Immunol | 767 | 3.6 (Q2) |
| 8 | Front Cell Dev Biol | 8 (1.40%) | 4,6 (Q1) | Proc Natl Acad Sci U S A | 744 | 9.4 (Q1) |
| 9 | Int J Cancer | 8 (1.40%) | 5,7 (Q1) | N Engl J Med | 679 | 96.3 (Q1) |
| 10 | Cancer Res | 7 (1.22%) | 12.5 (Q1) | J Clin Oncol | 677 | 42.1 (Q1) |
Author and co-cited author analysis
The analysis of authorship in the field of immune escape in CRC identifies the top contributors and their key collaborators. Lei Wang leads the field with 7 articles and 238 citations, closely followed by Peter J.K. Kuppen, who has published 6 articles with 212 citations. Prominent co-cited authors include Le, D.T. (128 co-citations) and Galon, J. (92 co-citations), highlighting their significant influence in the area. Additionally, Pornpimol Charoentong stands out with 4 articles and 720 citations, and Wei Wang has contributed 6 articles with 219 citations. Both researchers are frequently co-cited with renowned experts such as Hanahan, D. (88 co-citations) and Overman, M.J. (76 co-citations). The analysis also emphasizes the critical role of collaborative networks, with influential co-cited authors like Topalian, S.L. (72 co-citations) and Siegel, R.L. (72 co-citations) shaping the research direction. As shown in Table 4.
In terms of international collaboration, Figure 6 illustrates the cooperative networks among countries, underscoring the strong academic ties between researchers in China and North America. This map reveals an established and extensive network of cross-border research collaboration, reflecting the global nature of efforts to advance the understanding of immune escape in CRC. Figure 7 highlights the interactions between co-cited authors and articles, reinforcing the importance of international cooperation in tackling the complex challenges presented by immune escape mechanisms in cancer research. These findings suggest that such global partnerships are instrumental in driving progress in this critical area of study.
The Geographic distribution of publications and their international collaborations.
The visualization of co-cited authorand referenceson research of Immune escape in CRC. (A) (B)
| Rank | Author | Article | Citation | Article/document | Co-Cited Author | Co-Citation |
|---|---|---|---|---|---|---|
| 1 | wang, lei | 7 | 238 | 34 | le, dt | 128 |
| 2 | kuppen, peter j. k. | 6 | 212 | 35.3 | galon, j | 92 |
| 3 | wang, wei | 6 | 219 | 36.5 | hanahan, d | 88 |
| 4 | charoentong, pornpimol | 4 | 720 | 180 | overman, mj | 76 |
| 5 | liu, yang | 4 | 440 | 110 | sung, h | 74 |
| 6 | wang, yan | 4 | 104 | 26 | siegel, rl | 72 |
| 7 | li, wei | 4 | 96 | 24 | topalian, sl | 72 |
| 8 | klement, john d. | 4 | 92 | 23 | zhang, y | 67 |
| 9 | liu, kebin | 4 | 92 | 23 | liu, y | 65 |
| 10 | lu, chunwan | 4 | 92 | 23 | mantovani, a | 65 |
| 11 | yang, dafeng | 4 | 92 | 23 | zhang, l | 64 |
| 12 | swets, marloes | 4 | 91 | 22.8 | wang, y | 58 |
| 13 | zhang, xueguang | 4 | 84 | 21 | li, y | 56 |
| 14 | seliger, barbara | 4 | 64 | 16 | gabrilovich, di | 51 |
| 15 | yang, li | 4 | 42 | 10.5 | pagĆØs, f | 51 |
Keyword analysis
Using the CiteSpace parameters, a network was generated to visualize the relationships between research topics in the field of immune escape in CRC. The Cluster ID denotes the specific cluster number, with clusters labeled as #0, #1, #2, and so on. The size of each cluster corresponds to the number of publications within it. In Figure 8A, seven distinct clusters were identified, each representing a key research theme, including tumor growth, extracellular vesicles, HLA class, systematic reviews, solid tumor microenvironment, tumor-intrinsic CD47 signaling, and targeting MS4A4A. These clusters encapsulate the central topics in the field, offering insights into the diverse areas of focus within immune escape research. Notably, identified keywords such as CD47 signaling and MS4A4A have direct translational implications, linking fundamental research to ongoing clinical trials in immunotherapy. For instance, targeting CD47 is actively being investigated in clinical trials aiming to overcome immune resistance, underscoring the clinical relevance of these research hotspots. Additionally, Figure 8B presents the close relationships between keywords, as analyzed using VOSviewer.
The Keyword cluster analysisand visualization of keywordson research of Immune escape in CRC. #0: tumor growth; #1: extracellular vesicles; #2: HLA class; #3: systematic reviews; #4:solid tumor microenvironment; #5:tumor-intrinsic CD47 signaling; #6: targeting MS4A4A. (A) (B)
Trend analysis
The Timeline viewer provides insight into the evolving trends of research hotspots by tracking keywords and analyzing the temporal patterns within clusters, illustrating the development of popular research topics over time. Documents grouped in a cluster are placed on a horizontal line, with time moving from left to right, reflecting the significance and volume of research in each field. Figure 9 visually depicts the key research areas and future directions for immune escape in CRC. Figure 10 shows that citing journals primarily come from the fields of Molecular Biology, Immunology, Medicine, and Clinical studies, referred to as research frontiers, while the cited journals are mainly from Molecular Biology and Genetics, forming the knowledge base. The dual-map overlay of journals suggests that the hotspots and frontiers of immune escape in CRC research will increasingly concentrate on Molecular Biology and Immunology.
The timeline view of keywords analysis on research of Immune escape in CRC.
The dual-map overlay of journals of Immune escape in CRC.
Discussion
Immune escape plays a critical role in the progression and metastasis of CRC, significantly influencing the prognosis and therapeutic response of patients. The ability of tumor cells to evade immune surveillance is a major barrier to effective treatment, particularly with immunotherapies (18ā21).
Our bibliometric analysis reveals a growing global interest in immune escape mechanisms in CRC, with a notable rise in publications from 2015 to 2024, peaking in 2023. While China dominates in publication volume, countries like the USA and Germany exhibit higher citation rates, indicating their concentrated research influence. Strong academic collaborations, particularly between China and North America, are pivotal in advancing this field. Leading journals such as Front Immunol and Cancers, along with key co-cited journals like Cancer Res and Nature, highlight the integration of immune escape mechanisms into mainstream cancer research. Influential authors like Lei Wang and Peter J.K. Kuppen, alongside prominent co-cited researchers such as D.T. Le and J. Galon, shape the research trajectory, underscoring the importance of international partnerships in cancer immunotherapy.
Keyword analysis and trend observations, particularly through the use of tools like CiteSpace and VOSviewer, reveal key research areas such as tumor microenvironment, extracellular vesicles (EV), and HLA class signaling. These clusters reflect emerging research topics that are likely to define future research directions. The shift in research from broad immunological concepts toward more specific mechanisms, such as CD47 signaling and targeting MS4A4A, illustrates a refinement in the focus of immune escape research in CRC.
Tumor growth is a fundamental process in cancer progression, driven by both genetic mutations within tumor cells and their ability to manipulate the surrounding tumor microenvironment. Tumor cells have been shown to recruit immune suppressive cells and secrete cytokines that promote tumor growth while inhibiting immune responses. The ability of tumor cells to evade immune detection and destruction is critical to sustained tumor progression (22ā24). A growing body of evidence suggests that the interaction between tumor cells and the extracellular matrix contributes to tumor growth, survival, and resistance to treatment. Specifically, extracellular vesicles play a crucial role in the communication between tumor cells and the immune system (25). These vesicles can transport various molecules such as proteins, lipids, and RNA, facilitating immune escape by modulating immune cell function and promoting metastasis. Tumor-derived EVs have been implicated in the reprogramming of immune cells, such as dendritic cells and macrophages, to a more immunosuppressive phenotype, further enhancing immune escape (26, 27).
Another critical aspect of immune escape in CRC is the role of HLA class molecules in tumor immune surveillance. The downregulation or loss of HLA class I molecules on tumor cells impairs their recognition by cytotoxic T lymphocytes, one of the primary mechanisms by which tumors evade immune destruction (28ā30). Moreover, the solid tumor microenvironment is inherently immunosuppressive, characterized by a high degree of hypoxia, low pH, and the accumulation of immunosuppressive cells such as regulatory T cells and myeloid-derived suppressor cells. These factors collectively contribute to the inhibition of effective immune responses against the tumor (31, 32).
The tumor-intrinsic CD47 signaling pathway is another pivotal mechanism in immune escape. CD47, often referred to as the ādonāt eat meā signal, interacts with the signal regulatory protein alpha (SIRPα) on macrophages, preventing phagocytosis (33, 34). This interaction is particularly important in the context of immune escape in solid tumors, where the overexpression of CD47 on tumor cells helps them evade macrophage-mediated clearance. Targeting CD47 or its receptor SIRPα has emerged as a promising therapeutic strategy to enhance anti-tumor immunity (5, 35, 36). Additionally, the growing interest in targeting MS4A4A has highlighted its potential role in modulating the immune response. MS4A4A is a protein associated with immune cell activation, has been shown to be involved in immune escape, and targeting this protein could restore immune function and enhance the efficacy of cancer immunotherapies (37). This presents a novel avenue for therapeutic intervention, particularly in cancers with high immune escape potential like CRC.
There are some limitations that should be considered. First, the scope of the analysis is limited to publications indexed in the Web of Science Core Collection, which may exclude relevant literature available in other databases or non-English language publications. This restriction may introduce a bias towards studies published in high-impact journals and those with global accessibility. Incorporating additional databases like Scopus or PubMed and non-English literature could further enhance comprehensiveness and reduce potential publication bias. Additionally, the analysis focused solely on articles and reviews, excluding other types of publications such as conference proceedings or book chapters, which may contain valuable insights. The reliance on citation-based metrics, such as the number of citations per article, may also skew the results, as newer articles may not have had sufficient time to accrue citations. Therefore, while citation counts offer an important measure of research impact, they may not fully reflect the recent influence of emerging studies.
Funding Statement
The author(s) declare that no financial support was received for the research and/or publication of this article.
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
BZ: Funding acquisition, Visualization, Formal analysis, Validation, Resources, Project administration, Data curation, Methodology, Writing ā review & editing, Supervision, Software, Writing ā original draft, Investigation, Conceptualization. JH: Formal analysis, Visualization, Project administration, Data curation, Methodology, Conceptualization, Validation, Writing ā original draft, Software, Supervision, Resources, Investigation, Funding acquisition. CL: Data curation, Project administration, Writing ā original draft, Formal analysis, Validation, Methodology, Visualization, Investigation, Conceptualization, Writing ā review & editing, Software, Resources, Funding acquisition, Supervision.
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.
Generative AI statement
The author(s) declare that no Generative AI was used in the creation of this manuscript.
Publisherās 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
Associated Data
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.