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Annals of translational medicine · 2021

A bibliometric analysis of the research on hematological tumor microenvironment.

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Chen P, Du Z, Wang J, Liu Y, Zhang J, Liu D

Аннотация

BackgroundIn recent years, the incidence of hematological tumors has increased. The tumor microenvironment (TME) is the local biological environment in the process of tumor occurrence and development and is closely related to hematological malignancies, including lymphoma and leukemia. This study aims to conduct a bibliometric analysis of the research on the hematological TME, reflect the general situation of the research in this field, and remind the focus of future research.MethodsSearch the Science Citation Index Expanded (SCI-E) database on the Web of Science Core Collection (WOSCC). Use subject terms to search tumor microenvironment; the limited search subject is Hematology, and the time range is from 1990 to July 18, 2021. Use CiteSpace software to analyze the number of annual papers published, the number of citations, the distribution of disciplines, the distribution of countries/institutions, the distribution of authors, the distribution of journals, and the frequency of use of keywords and its trend of change.ResultsThere were 1,992 related research articles cited 77,213 times. The top 5 countries with the number of published papers in this field are: the United States, Italy, China, Germany, and the United Kingdom; the top 5 centrally ranked countries are the United States, Italy, Spain, France, and Japan. Literature and cooperation are mainly from the United States. The top three researchers with several published papers are Anderson KC, Ansell SM, and Gascoyne RD. Their centrality scores are all low, with only 5 researchers reaching above 0.01, and there is less collaboration between the authors. High-quality papers are from Blood, Cancer Res, P Natl Acad Sci USA, and Nature. Keyword analysis shows that immunotherapy is the current focus of research in this field.ConclusionsThe research on the microenvironment of hematological malignancies is rapidly developing. At present, the main research focus is on targeted immunotherapy.

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Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 .

Introduction

In recent years, the incidence of hematological tumors has increased. Statistics show that the number of new cases of non-Hodgkin’s lymphoma, Hodgkin’s lymphoma, and leukemia in 2002 were 300,571, 62,329, and 300,522, respectively. In 2018, they were 758,314, 106,157, and 746,039, respectively. Almost all have doubled, and the number of deaths has also increased significantly ( 1 , 2 ). Analysis of the reasons is mainly related to the pollution of the living environment and the advancement of diagnostic technology ( 3 , 4 ). With the deepening of research, people have a richer understanding of the pathogenesis of hematological malignancies. Ioannides and Whiteside first proposed the tumor microenvironment (TME). It is defined as the local biological environment in the process of tumorigenesis and development, which can provide a scaffold and barrier for the growth of tumor cells and generate immune exempt areas, providing tumors with a “culture base” ( 5 ). With the deepening of research on TME, the oncology community is paying increased attention to the role of TME in tumorigenesis and development ( 6 , 7 ). TME mainly plays an important role in three aspects: the most direct role is to provide a growth environment for tumors; certain components in TME can weaken the therapeutic effect of anti-tumor drugs; the local immune response is immunosuppressive, helping tumor cells escape immune surveillance ( 6 , 8 ). Studies have shown that TME is closely related to hematological malignancies, including lymphoma and leukemia ( 9 , 10 ). Generally, hematological TME consists of cells including tumor-associated macrophages, follicular dendritic cells, fibroblastic reticular cells and endothelial cells ( 11 ). Bibliometrics is a method of indirect research on developing a certain field that has emerged in recent years. Compared with reviews, by analyzing most literatures on some theme, it can reflect the annal development and change trend of research in the field and the current research focus, especially to sort out important research and research institutions and researchers in this field ( 12 , 13 ). The research results of bibliometrics help researchers grasp this field’s development direction and avoid repeated research ( 14 ). A previous bibliometric analysis of TME in oral cancer provided an overview of the research status in oral oncology ( 15 ). This study conducts a bibliometric analysis of the research on the hematological TME, reflects the general situation of the research in hematology, and reminds the focus of future research.

Methods

Search objects

We searched the Science Citation Index Expanded (SCI-E) database on the Web of Science Core Collection (WOSCC). The database is the primary data source for bibliometrics research, which can provide subject retrieval and limit the research field, minimize invalid retrievals and make retrieval results more accurate ( 16 ).

Retrieval steps

First, use subject terms to search, the search term is tumor microenvironment; then, the search subject is limited to Hematology; the time range is from the earliest document time of the database to the last retrieval time of this research (July 18, 2021); finally, the search results are obtained.

Statistical and bibliometrics analysis

Export all records of the search results and cited references in plain text format, and use CiteSpace software to analyze the number of annual papers published, the number of citations, the distribution of disciplines, the distribution of countries/institutions, the distribution of authors, the distribution of journals, the frequency of use of keywords, and the trend of change is analyzed to reflect the research on the microenvironment of hematological malignancies. In this descriptive study, variables were expressed as numbers and percentages. No comparison was conducted; therefore, no P value was set.

Results

Retrieval results

There are 1,992 related research documents, including 1,211 original articles, 500 reviews, 240 meeting abstracts, 40 proceedings papers, 22 editorial materials, 19 book chapters, and 19 early access, 14 letters, 3 corrections, and 2 notes ( Tables 1,2 , Figure 1 ). The citation frequency is 77,213 times, the h-index count is 130, and the average number of citations per paper is 38.76 ( Figure 2 ).

Table 1
Document type analysis

LiteraturesRecords% of 1,992
Original articles1,21160.8
Reviews50025.1
Meeting abstracts24012.0
Proceedings papers402.0
Editorial materials221.1
Book chapters191.0
Early access191.0
Letters140.7
Corrections30.2
Notes20.1

Table 2
Annual distribution of the number of papers in the past 20 years

YearsRecords% of 1,992
2021442.2
202020010.0
20191839.2
20181567.8
20171819.1
20161457.3
20151236.2
20141155.8
20131005.0
2012914.6
20111135.7
2010864.3
2009804.0
2008653.3
2007482.4
2006371.9
2005381.9
2004321.6
2003251.3
2002170.9
Figure 1 Annual changes in the number of papers published.
Figure 1 Annual changes in the number of papers published.
Figure 2 Annual changes of the citation frequency.
Figure 2 Annual changes of the citation frequency.

Distribution of countries and institutions

We use CiteSpace V software to analyze data and generate national visualization maps ( Figure 3 ) and institutional visualization maps ( Figure 4 ). The results show the top 5 countries for the number of papers published in this field are the United States, Italy, China, Germany, and the United Kingdom; the top 5 centrally ranked countries are the United States, Italy, Germany, Spain, and France ( Tables 3,4 ). The results suggest that the United States is in a leading position in research in this field. The institutional analysis also shows that institutions that have published many papers and those with more collaborations are also mainly from the United States ( Tables 5,6 , Figure 4 ).

Figure 3 A visual map of countries.
Figure 3 A visual map of countries.
Figure 4 Visualization map of institutions.
Figure 4 Visualization map of institutions.

Table 3
Top 10 countries in terms of publication

RankCountriesRecords
1USA864
2Italy221
3China185
4Germany175
5England140
6France123
7Canada98
8Japan92
9Spain75
10Australia61

Table 4
Top 10 countries in terms of centrality

RankCountriesCentrality
1USA0.82
2Italy0.39
3Germany0.15
4Spain0.14
5France0.13
6Japan0.10
7Australia0.10
8England0.09
9Canada0.07
10Netherlands0.05

Table 5
Top 10 institutions in terms of number of papers published

RankInstitutionsRecords
1Mayo Clin70
2Dana Farber Canc Inst69
3Univ Texas MD Anderson Canc Ctr67
4Harvard Univ62
5Harvard Med Sch36
6NCI34
7Karolinska Inst31
8Massachusetts Gen Hosp16
9Mem Sloan Kettering Canc Ctr15
10British Columbia Canc Agency15

Table 6
Top 10 institutions in terms of centrality

RankInstitutionsCentrality
1Dana Farber Canc Inst0.16
2Mayo Clin0.14
3NCI0.11
4Univ Texas MD Anderson Canc Ctr0.07
5Harvard Univ0.05
6Harvard Med Sch0.05
7German Canc Res Ctr0.04
8Columbia Univ0.04
9Karolinska Inst0.03
10British Columbia Canc Agency0.03

Authors

The top three researchers with the number of papers published in this field are Anderson KC, Ansell SM, and Gascoyne RD. However, the centrality scores are all low, and only 5 researchers who reach over 0.01 are: Gascoyne RD, Anderson KC, Gribben JG, Steidl C, and Wilcox RA indicate that although some authors have published more papers, there is less collaboration among authors ( Tables 7,8 , Figure 5 ). In terms of paper citations, the top three authors of citations are Burger JA, Hideshima T, and Steidl C, but the top three co-cited centralities (the third had two authors) are Anderson KC, Simmons PJ, Gabrilovich DI, and Bataille R ( Tables 9,10 ), and most of these authors are from the United States. The author’s co-cited visualization map ( Figure 6 ) shows that the authors have more intensive mutual citations, reflecting that the main research results in this field are concentrated on these authors.

Table 7
Top 5 authors in the number of papers published

RankAuthorsRecords
1Anderson KC34
2Ansell SM25
3Gascoyne RD16
4Steidl C15
5Richardson PG15

Table 8
Top 5 authors of centrality

RankAuthorsCentrality
1Gascoyne RD0.02
2Anderson KC0.01
3Gribben JG0.01
4Steidl C0.01
5Wilcox RA0.01
Figure 5 The author’s co-authored visualization map.
Figure 5 The author’s co-authored visualization map.

Table 9
The top 10 most cited authors

RankAuthorsCitations
1Burger JA139
2Hideshima T123
3Steidl C122
4Hanahan D119
5Ansell SM109
6Dave SS101
7Swerdlow SH88
8Mantovani A84
9Green MR79
10Chauhan D76

Table 10
Top 10 authors of centrality in co-citation

RankAuthorsCentrality
1Anderson KC0.29
2Simmons PJ0.26
3Gabrilovich DI0.21
4Bataille R0.21
5Abboud SL0.20
6Hideshima T0.12
7Steidl C0.12
8Ribatti D0.12
9Broxmeyer HE0.12
10Liesveld JL0.12
Figure 6 The author’s co-cited visualization map.
Figure 6 The author’s co-cited visualization map.

Journals distribution

Of the 1,992 articles from 184 journals, 22 journals have published over 20 articles, accounting for 1,676 articles, 84.1% of the total literature ( Table 11 ). Regarding the number of published papers, related papers are concentrated in hematology professional journals ( Table 11 ). However, in terms of the number of citations or centrality ( Tables 12,13 ), high-quality papers are still concentrated in authoritative journals, including Blood , Cancer Res , P Natl Acad Sci USA , and Nature ( Table 12 ).

Table 11
Top 22 journals by publications

RankJournalsPapersPercentage
1Blood45722.9
2Leukemia1336.7
3Leukemia Lymphoma1256.3
4Journal of Leukocyte Biology1165.8
5Journal of Hematology Oncology1075.4
6British Journal of Haematology1035.2
7Haematologica944.7
8Stem Cells894.5
9Critical Reviews in Oncology Hematology814.1
10Experimental Hematology412.1
11Clinical Lymphoma Myeloma Leukemia402.0
12Leukemia Research392.0
13Blood Advances311.6
14Stem Cells and Development311.6
15Pediatric Blood Cancer301.5
16Blood Cancer Journal271.4
17Cytotherapy241.2
18International Journal of Hematology241.2
19Annals of Hematology221.1
20American Journal of Hematology211.1
21Current Opinion in Hematology211.1
22Hematological Oncology201.0

Table 12
Top 10 journals cited

RankJournalsCitations
1Blood1,510
2Cancer Res1,176
3P Natl Acad Sci USA1,092
4Nature1,011
5Clin Cancer Res970
6New Engl J Med913
7J Immunol882
8Leukemia874
9J Clin Invest856
10J Clin Oncol842

Table 13
Top 10 journals of centrality in citation

RankJournalsCentrality
1Biochem Bioph Res Co0.08
2Brit J Cancer0.07
3J Cell Physiol0.07
4Int J Cancer0.06
5Carcinogenesis0.06
6J Clin Invest0.05
7Embo J0.05
8Nat Cell Biol0.05
9J Cell Biol0.05
10J Immunother0.05

Keywords analysis

We used CiteSpace V software to generate a keyword co-occurrence map ( Figure 7 ). The top 10 keywords in terms of frequency of use and centrality are listed in Tables 14 and 15 . For keywords with high frequency, we use CiteSpace to perform burst detection on keywords ( Figure 8 ). We can observe the transformation of colony stimulus factors, growth factors, cytokines, tumor necrosis factors at the beginning into currently commonly used drugs, immunotherapy. This reflects the gradual transformation of research in this field, from the initial analysis of microenvironmental components to immunotherapy. It is also a typical process of medical research, the evolution from potential mechanism research to clinical intervention.

Figure 7 Keyword co-occurrence map. Identified in the figure are keywords that often appear together.
Figure 7 Keyword co-occurrence map. Identified in the figure are keywords that often appear together.

Table 14
Top 10 most used keywords

RankKeywordsFrequency
1expression383
2microenvironment325
3cancer245
4tumor microenvironment216
5multiple myeloma203
6survival192
7bone marrow159
8t cell153
9activation153
10in vitro134

Table 15
Top 10 keywords for centrality

RankKeywordsCentrality
1microenvironment0.17
2expression0.16
3bone marrow0.12
4cell0.09
5cytokine0.09
6cancer0.08
7colony stimulating factor0.07
8survival0.06
9in vitro0.06
10apoptosis0.06
Figure 8 Top 25 keywords with the strongest citation bursts.
Figure 8 Top 25 keywords with the strongest citation bursts.

Discussion

This study analyzed the microenvironmental research literature related to hematological malignancies and found that the research in this field is concentrated in several large medical research institutions in the United States. Although researchers often quote documents from each other, the cooperation between them is few. Most papers are published in professional journals on the blood system, and high-level research is published in authoritative, comprehensive journals. Keyword analysis shows that current research focuses on tumor immunotherapy. Taken together these findings, we provided an overview of studies on hematological TME.

Many molecular therapeutic targets for hematological malignancies have been discovered with the deepening of molecular biology research and technological advancement ( 9 , 17 - 20 ). The drugs developed in this way delay the progression of the disease to a significant extent and significantly improve the patient’s disease-free survival (DFS) and quality of life ( 21 - 23 ). However, some authors believe it has not helped complete the eradication of tumors ( 9 ). However, several recent studies have shown that targeted therapy based on the TME can significantly improve DFS ( 23 , 24 ). This study shows that the research in this field has experienced a typical process, from primary to clinical. Initially, it was mainly experimental research to deeply analyze the expression characteristics and mechanism of various factors in the microenvironment of tumor cells ( 25 ), changes in matrix composition in the bone marrow and other tissues ( 26 ). It gradually shifts to the relationship between the specific tumor and the microenvironment ( 27 ) until the vital research of immunotherapy in recent years ( 28 ). Of course, researchers are still deeply studying the relationship between numerous factors and cells in the TME and lymphoma, leukemia, and myeloma. Related research results are also published continuously, but these studies have been accumulated for a long time in the early stage. Further exploration based on work also explains why most research is concentrated on a few medical research institutions in the United States.

The real rapid development of TME research was in the 1970s. New biomedical research technologies continued to appear, which technically solved the research difficulties. For example, Folkman et al. discovered factors closely related to tumor angiogenesis ( 29 ). Researchers have gradually realized that inhibiting angiogenesis can effectively treat cancer, and subsequently, the vascular endothelial growth factor has gradually become an effective target for cancer treatment ( 30 ). Based on this, related drugs have been developed and used clinically ( 31 , 32 ). Therefore, more and more studies have confirmed that cell composition, various factors, and local physical properties in the TME all play a direct role in the efficacy of anti-tumor therapy ( 33 ). After over 50 years of continuous efforts, many research results of the TME have been continuously transformed into clinical treatment of tumors, and a large number of satisfactory results have been achieved ( 8 ).

Compared with other TME studies, the microenvironment research of hematological malignancies has been carried out a little later. However, according to our analysis results, it can be seen that in this field, the process of transformation from basic to clinical is faster. However, as mentioned earlier, related research is concentrated on the United States, and there is little cooperation. This makes it necessary to be more cautious in promoting related research results to various people. Future research can appropriately observe different regions and races ( 34 ). Besides, we suggest more research to be carried out on the effect of PD-1/L1 inhibitor or CAR-T therapy on TME.

The limitations of this study

The search literature of this study is limited to “hematology”, and a small amount of related literature may be missed. However, this study only discusses hematological malignancies. Therefore, for the mechanism studies that may be missed in this part, researchers can search for related papers by other methods to further understand.

Supplementary

The article’s supplementary files as

Acknowledgments

Funding: None.

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.

Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at https://dx.doi.org/10.21037/atm-21-3924 ). The authors have no conflicts of interest to declare.

(English Language Editor: J. Chapnick)

References

1. Parkin DM, Bray F, Ferlay J, et al. Global cancer statistics, 2002. CA Cancer J Clin 2005;55:74-108. 10.3322/canjclin.55.2.74

2. Bray F, Ferlay J, Soerjomataram I, et al. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin 2018;68:394-424. 10.3322/caac.21492

3. Harris MH, Czuchlewski DR, Arber DA, et al. Genetic Testing in the Diagnosis and Biology of Acute Leukemia. Am J Clin Pathol 2019;152:322-46. 10.1093/ajcp/aqz093

4. Salah HT, Muhsen IN, Salama ME, et al. Machine learning applications in the diagnosis of leukemia: Current trends and future directions. Int J Lab Hematol 2019;41:717-25. 10.1111/ijlh.13089

5. Ioannides CG, Whiteside TL. T cell recognition of human tumors: implications for molecular immunotherapy of cancer. Clin Immunol Immunopathol 1993;66:91-106. 10.1006/clin.1993.1012

6. Hinshaw DC, Shevde LA. The Tumor Microenvironment Innately Modulates Cancer Progression. Cancer Res 2019;79:4557-66. 10.1158/0008-5472.CAN-18-3962

7. Sharma P, Allison JP. The future of immune checkpoint therapy. Science 2015;348:56-61. 10.1126/science.aaa8172

8. Chmielik E. Pathology and Tumor Microenvironment: Past, Present, and Future. Pathobiology 2020;87:55-7. 10.1159/000507222

9. Höpken UE, Rehm A. Targeting the Tumor Microenvironment of Leukemia and Lymphoma. Trends Cancer 2019;5:351-64. 10.1016/j.trecan.2019.05.001

10. Reinke S, Bröckelmann PJ, Iaccarino I, et al. Tumor and microenvironment response but no cytotoxic T-cell activation in classic Hodgkin lymphoma treated with anti-PD1. Blood 2020;136:2851-63. 10.1182/blood.2020008553

11. Xu ML, Fedoriw Y. Lymphoma Microenvironment and Immunotherapy. Surg Pathol Clin 2016;9:93-100. 10.1016/j.path.2015.10.001

12. Cooper ID. Bibliometrics basics. J Med Libr Assoc 2015;103:217-8. 10.3163/1536-5050.103.4.013

13. Hirsch JE. An index to quantify an individual's scientific research output. Proc Natl Acad Sci U S A 2005;102:16569-72. 10.1073/pnas.0507655102

14. Brandt JS, Hadaya O, Schuster M, et al. A Bibliometric Analysis of Top-Cited Journal Articles in Obstetrics and Gynecology. JAMA Netw Open 2019;2:e1918007. 10.1001/jamanetworkopen.2019.18007

15. Sarode GS, Sarode SC, Choudhary N, et al. Together consideration of microenvironment and tumor cells: Analysis of papers published in Oral Oncology. Oral Oncol 2019;99:104324. 10.1016/j.oraloncology.2019.06.005

16. Huh S. Journal metrics of Clinical and Molecular Hepatology based on the Web of Science Core Collection. Clin Mol Hepatol 2018;24:137-43. 10.3350/cmh.2018.0018

17. Kipps TJ, Choi MY. Targeted Therapy in Chronic Lymphocytic Leukemia. Cancer J 2019;25:378-85. 10.1097/PPO.0000000000000416

18. Walasek A. The new perspectives of targeted therapy in acute myeloid leukemia. Adv Clin Exp Med 2019;28:271-6. 10.17219/acem/81610

19. Abramson JS, Ghosh N, Smith SM. ADCs, BiTEs, CARs, and Small Molecules: A New Era of Targeted Therapy in Non-Hodgkin Lymphoma. Am Soc Clin Oncol Educ Book 2020;40:302-13. 10.1200/EDBK_279043

20. Kawano Y, Moschetta M, Manier S, et al. Targeting the bone marrow microenvironment in multiple myeloma. Immunol Rev 2015;263:160-72. 10.1111/imr.12233

21. Andrews SW, Kabrah S, May JE, et al. Multiple myeloma: the bone marrow microenvironment and its relation to treatment. Br J Biomed Sci 2013;70:110-20. 10.1080/09674845.2013.11669945

22. Waweru C, Kaur S, Sharma S, et al. Health-related quality of life and economic burden of chronic lymphocytic leukemia in the era of novel targeted agents. Curr Med Res Opin 2020;36:1481-95. 10.1080/03007995.2020.1784120

23. Foà R, Bassan R, Vitale A, et al. Dasatinib-Blinatumomab for Ph-Positive Acute Lymphoblastic Leukemia in Adults. N Engl J Med 2020;383:1613-23. 10.1056/NEJMoa2016272

24. Pollyea DA, Stevens BM, Jones CL, et al. Venetoclax with azacitidine disrupts energy metabolism and targets leukemia stem cells in patients with acute myeloid leukemia. Nat Med 2018;24:1859-66. 10.1038/s41591-018-0233-1

25. Mayani H, Guilbert LJ, Clark SC, et al. Composition and functional integrity of the in vitro hemopoietic microenvironment in acute myelogenous leukemia: effect of macrophage colony-stimulating factor. Exp Hematol 1992;20:1077-84.

26. Shetty V, Mundle S, Sanoy A, et al. A multivariate study of non Hodgkin's lymphoma involving proliferation, apoptosis, bcl-2 and the microenvironment. Leuk Lymphoma 1995;18:273-9. 10.3109/10428199509059618

27. Dhodapkar MV, Sanderson RD. Syndecan-1 (CD 138) in myeloma and lymphoid malignancies: a multifunctional regulator of cell behavior within the tumor microenvironment. Leuk Lymphoma 1999;34:35-43. 10.3109/10428199909083378

28. Shimada A. Hematological malignancies and molecular targeting therapy. Eur J Pharmacol 2019;862:172641. 10.1016/j.ejphar.2019.172641

29. Folkman J, Merler E, Abernathy C, et al. Isolation of a tumor factor responsible for angiogenesis. J Exp Med 1971;133:275-88. 10.1084/jem.133.2.275

30. Leung DW, Cachianes G, Kuang WJ, et al. Vascular endothelial growth factor is a secreted angiogenic mitogen. Science 1989;246:1306-9. 10.1126/science.2479986

31. Carmeliet P, Jain RK. Angiogenesis in cancer and other diseases. Nature 2000;407:249-57. 10.1038/35025220

32. Apte RS, Chen DS, Ferrara N. VEGF in Signaling and Disease: Beyond Discovery and Development. Cell 2019;176:1248-64. 10.1016/j.cell.2019.01.021

33. Bruno TC. New predictors for immunotherapy responses sharpen our view of the tumour microenvironment. Nature 2020;577:474-6. 10.1038/d41586-019-03943-0

34. Puente XS, Jares P, Campo E. Chronic lymphocytic leukemia and mantle cell lymphoma: crossroads of genetic and microenvironment interactions. Blood 2018;131:2283-96. 10.1182/blood-2017-10-764373

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