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ORIGINAL RESEARCH article

Front. Bioeng. Biotechnol., 10 October 2022
Sec. Nanobiotechnology
This article is part of the Research Topic Exploration of innovative strategies focusing on advanced nanobiomaterials for optimizing oncological treatment and tissue restoration View all 18 articles

Advanced nanoparticles that can target therapy and reverse drug resistance may be the dawn of leukemia treatment: A bibliometrics study

Rui WangRui Wang1Changming ZhaoChangming Zhao1Shuxia JiangShuxia Jiang2Zhaohua ZhangZhaohua Zhang2Chunmei BanChunmei Ban3Guiping ZhengGuiping Zheng2Yan HouYan Hou2Bingjin JinBingjin Jin4Yannan ShiYannan Shi5Xin Wu
Xin Wu6*Qiangqiang Zhao
Qiangqiang Zhao2*
  • 1Department of Hematology, Shandong Second Provincial General Hospital, Jinan, China
  • 2Department of Hematology, The Qinghai Provincial People’s Hospital, Xining, China
  • 3Department of Hematology, Hematology Department, The People’s Hospital of Liuzhou City, Liuzhou, China
  • 4Department of Pharmacy, The Qinghai Provincial People’s Hospital, Xining, China
  • 5Department of General Medicine, Ganmei Hospital, Kunming First People’s Hospital, Kunming, China
  • 6Department of Spine Surgery, Third Xiangya Hospital, Central South University, Changsha, China

With the development of nanomedicine, more and more nanoparticles are used in the diagnosis and treatment of leukemia. This study aimed to identify author, country, institutional, and journal collaborations and their impacts, assess the knowledge base, identify existing trends, and uncover emerging topics related to leukemia research. 1825 Articles and reviews were obtained from the WoSCC and analyzed by Citespace and Vosviewer. INTERNATIONAL JOURNAL OF NANOMEDICINE is the journal with the highest output. The contribution of FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY is also noteworthy. The three main aspects of research in Nanoparticles-leukemia-related fields included nanoparticles for the diagnosis and treatment of leukemia, related to the type and treatment of leukemia, the specific molecular mechanism, and existing problems of the application of nanoparticles in leukemia. In the future, synthesize nano-drugs that have targeted therapy and chemotherapy resistance according to the mechanism, which may be the dawn of the solution to leukemia. This study offers a comprehensive overview of the Nanoparticles-leukemia-related field using bibliometrics and visual methods for the first time, providing a valuable reference for researchers interested in Nanoparticles-leukemia.

1 Introduction

Cancer has always been a thorn in the hearts of human beings worldwide, and leukemia is even more worrying for researchers because of its high incidence and low survival rate (Wu et al., 2021a; Wu et al., 2021b). Leukemia is a highly invasive hematological tumor with complex genetic and biological characteristics (Du et al., 2021; Jiang et al., 2022; Wu et al., 2022). There are a variety of treatments for leukemia, including chemotherapy, radiotherapy, stem cell transplantation, immunotherapy, targeted therapy, and so on (Kaldor et al., 1990; Montserrat and Dreger, 2015; Woyach, 2019; Locatelli et al., 2021; Lussana et al., 2021). Although immunotherapy such as Autologous chimeric antigen receptor (CAR) T cells has attracted wide attention from researchers recently, chemotherapy has always been the main treatment for leukemia because of its classic and effectiveness. Chemotherapy is one of the primary means to treat leukemia. However, the clinical application still has the following problems: 1. Chemotherapeutic drugs kill leukemic and normal cells and produce adverse effects, including malnutrition, cancer, and chronic pain. 2. The emergence of drug resistance leads to a significant decline in chemotherapy efficacy and a poor prognosis (Lokody, 2014). How to solve the above problems has become an urgent problem to be solved in this field.

Nanotechnology is widely used in medicine, such as tissue repair, diagnosis, and treatment of diseases (Lin et al., 2020a; Lin et al., 2020b; Zhang et al., 2020; Bai et al., 2021; Chen et al., 2021; Zhao et al., 2022). Professor Feng’s team developed a GSH bioimprinted nanocomposite loaded with an FTO inhibitor (GNPIPP12MA). The GNPIPP12MA can not only achieve an anti-leukemia effect by inducing ferroptosis but also enhance the blocking effect of PD-L1 by increasing the infiltration of cytotoxic T cells (Cao et al., 2022). Professor Zhao’s team constructs a novel amino acid nanomedicine for the treatment of T-cell acute lymphoblastic leukemia by combining leukemia cell targeting and immune surveillance stimulation (Li et al., 2022). Nanoparticles can not only treat leukemia by transporting small molecular drugs, antibody drugs, and genes but also carry out photodynamic therapy for leukemia through photosensitizers (Shen et al., 2020). Because the physiological structure of a tumor is different from that of normal tissue, nanoparticles can be passively targeted to the tumor by the Enhanced Permeability and Retention Effect (EPR). EPR refers to the phenomenon that some macromolecular substances of a specific size (such as liposomes, nanoparticles, and some macromolecular drugs) are more likely to penetrate into tumor tissue and remain for a long time (compared with normal tissue). At the same time, nanoparticles can also be modified by the cell membrane, ligand, or aptamer to achieve active targeting (Tatar et al., 2016; Tee et al., 2019). However, the research on nano-drugs that can achieve specific targeting and reverse leukemia drug resistance is still in its infancy.

There are many ways to systematically review a research field, among which the bibliometric method is one of the most commonly used approaches. Bibliometric analysis can study the contributions and collaboration of researchers, organizations, nations, and journals qualitatively and quantitatively and assess academic research’s developmental status and new tendencies (Zhang et al., 2021). The bibliometric method can also consider conventional reviews, meta-analysis, or experimental studies, whose analysis cannot be performed using other approaches (Petersen et al., 2016; Björnmalm et al., 2017; Izci et al., 2021). Based on these advantages, this method is increasingly used to assess academic tendencies and develop guidelines. Hence, we used bibliometric analysis for evaluating and summarizing Nanoparticles-leukemia studies.

This study aimed to objectively delineate the knowledge field and new trends in Nanoparticles-leukemia research from the following four dimensions using two standard bibliometric tools, CiteSpace and VOSviewer. 1) We intended to quantify and identify general information in Nanoparticles-leukemia studies by studying yearly articles, journals, co-cited journals, nations, organizations, researchers, and co-cited researchers. 2) We strived to identify and study the top 100 most cited articles through co-citation reference analyses to assess the knowledge base of Nanoparticles-leukemia. 3) We aimed to identify the knowledge structure and hotspot evolution through keyword and co-citation reference burst analyses (Jiang et al., 2022). Meanwhile, under the analyses of the journals, countries, and keywords of the former top 100 articles and co-cited journals, combined with the analysis content of 3), the research content and possible new directions in the field of Nanoparticles-leukemia were further determined.

2 Materials and methods

2.1 Study design

This study used bibliometric analysis to study journal papers in Nanoparticles-leukemia. The study is divided into two parts: the first is the study of all the published articles in the Nanoparticles-leukemia field using WOSCC; the second is the analysis of the first 100 highly cited papers in the Nanoparticles-leukemia (Figure 1).

FIGURE 1
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FIGURE 1. Advanced nanobiomaterials that can target therapy and reverse drug resistance.

2.2 Eligibility criteria

Inclusion criteria included (Wu et al., 2021a) Basic scientific and clinical studies related to nanoparticles-leukemia (Wu et al., 2021b); Studies on diagnosis, treatment, prognosis or prevention related to nanoparticle-leukemia; and (Wu et al., 2022) Original articles and reviews that are closely related to nanoparticles-leukemia. Exclusion criteria were (Wu et al., 2021a) Contents that are not related to nanoparticles-leukemia.

2.3 Data collection

Our team used the WoSCC database as it can offer comprehensive data required by the bibliometric software and is considered the most potent database. Data were acquired from the WoSCC database on 2 August 2022, and the relevant data can be found in Supplementary Materials 1. Our main search terms were “Nanoparticles” and “leukemia” (Lin et al., 2020c; Huang et al., 2022). For specific search terms, please refer to Supplementary Material 2. Part I: All articles relevant to the Nanoparticles-leukemia field were downloaded from WoSCC (Time span from the establishment of WoSCC to 2 August 2022). Part II: Two independent researchers manually screened the top 100 most-cited articles relevant to the Nanoparticles-leukemia field. Search conditions: The language was limited to English, and the type of article was restricted to articles and reviews. The retrieval outcomes were downloaded from the recorded contents of “Full Record and Cited References.” (Zhang et al., 2021).

2.4 Data analysis and visualization

The most frequently utilized bibliometric programs are VOSViewer, CiteSpace, SCI2, NetDraw, and HistCite. There is no consensus on the best bibliographic approach. After careful consideration, this study utilized VOSviewer and CiteSpace.

Our team used VOSviewer1.6.15 to determine influential journals, co-cited journals, researchers, co-cited researchers, and associated knowledge graphs based on bibliographic information. Moreover, our team created keyword co-occurrence and clustering diagrams based on text data. First, the data were cleaned. For example, “nanoparticle” and “NPs” were unified to “nanoparticles” in the keyword analysis. The project’s other thresholds (T) were set according to different circumstances and marked in the relevant tables and illustrations.

CiteSpace, proposed by Professor Chen Chaomei, is a bibliometric and visualization analysis tool suitable for investigating collaboration, key points, inner architectures, and latent tendencies in a specific field. Hence, our team used CiteSpace6.1.R2 to study and visualize the co-occurrence of nations and organizations, dual maps, high-frequency keyword trends, co-citation references, and citation bursts. The data were cleaned before the investigation; For example, articles from Taiwan were classified as China in the country analyses. The CiteSpace settings are stated below: time span, 1999–2022; years per slice, 1, pruning, minimum spanning tree and pruning sliced networks; selection standards, Top N = 50; and others followed the default.

Microsoft Office Excel 2022 was used to process the annual database of articles. Furthermore, the 2021 journal IF and JCR Division was obtained from the Web of Science in Cites Journal Citation Reports on 11 August 2022.

3 Results

3.1 The annual growth trend and the number of annual cited departments

As per the data acquisition method, our team obtained 1825 articles upon limiting the types of research to articles and reviews and the language to English. Finally, 1825 eligible articles (Supplementary Material 1) published between 1999 and 2022 were selected. From Figure 2A, we can observe that references related to Nanoparticles-leukemia generally showed an increasing trend. It is worth noting that the citations of published articles in 2017–2021 have increased significantly. In addition, we also analyzed the top 10 countries with published articles (Figure 2B): America was leading in publishing articles until 2007 (1999–2007). Since 2008, China has shown great interest in Nanoparticles-leukemia, surpassing the United States to become the country with the most significant number of articles published.

FIGURE 2
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FIGURE 2. (A) Annual publication number and citation frequency of Nanoparticles-leukemia-related studies. (B) Composition ratio of the top 10 countries by the publication number.

3.2 Journals and co-cited journals

Our team utilized VOSviewer to analyze journals and co-cited journals to find the most influential and vital journals concerning the Nanoparticles-leukemia field. The results revealed that 1825 articles related to this field were published in 595 journals. The INTERNATIONAL JOURNAL OF NANOMEDICINE published the most articles (76, 4.1485%) (Table 1). About the country of the publication, US and United Kingdom accounted for more than half (7/12). Among the top 10 journals, nine were from the Q1 JCR division, and their Impact Factors (IF) exceeded 5 (Table 1). Among the 7,934 commonly cited journals, ten were cited > 1000 times. As presented in Table 2, BLOOD had the most significant number of citations (N = 2,458), followed by JOURNAL OF CONTROLLED RELEASE (N = 2038) and BIOMATERIALS (N = 1845). It is not surprising that the journals with high co-citations are all from the Q1 JCR partition and all have high IF values. Furthermore, consistent with the analysis of high-volume journals, the US and United Kingdom accounted for more than half of the country’s distribution, followed by NETHERLANDS.

TABLE 1
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TABLE 1. The top 10 journals of Nanoparticles-leukemia-related research.

TABLE 2
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TABLE 2. The top 10 co-cited journals of Nanoparticles-leukemia-related research.

The journal dual-map overlay represents the topic distribution status of journals (Figure 3). Citation journals are on the left, cited journals are on the right, and the color path indicates the citation relationship. Four primary citation path was determined, which meant that research published in Molecular/Biology/Immunology and Physics/Materials/chemistry journals was predominantly cited by a study published in Molecular/Biology/Immunology and Chemistry/Materials/Physics journals.

FIGURE 3
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FIGURE 3. The dual-map overlay of journals related to Nanoparticles-leukemia research. Notes: The citing journals were on the left, the cited journals were on the right, and the colored path represents the citation relationship.

3.3 Country/region and institution

A total of 2,174 institutions from 80 countries have published 1825 articles. The most significant number of publications came from China (593, 24.14%), followed by the United States (419, 17.06%) and Japan (161,6.56%) (Table 3). As we have presented in Table 3, the United States, France, and Germany have made indelible contributions in the Nanoparticles-leukemia field (Figure 4A). In addition, according to link color, the United States (1999), Germany (1999), United Kingdom (1999) and China (2000) were the first countries to conduct studies on Nanoparticles-leukemia field. We used minimal spanning tree pruning to clarify the net (Figure 4A). The standard map of unpruned countries contained 80 nodes and 272 links with a density of 0.0861, revealing active collaboration between diverse nations. For example, the United States cooperated with 42 nations, followed by Germany (n = 34) and China (n = 31).

TABLE 3
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TABLE 3. The top 10 countries/regions and institutions involved in Nanoparticles-leukemia-related research.

FIGURE 4
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FIGURE 4. The co-occurrence map of (A) countries/regions and (B) institutions in Nanoparticles-leukemia research (T ≥ 18). Notes: The node’s size reflects the co-occurrence frequencies, and the links indicate the co-occurrence relationships. The color of the node and line represent different years. Colors vary from grey to orange as time goes from 1999 to 2022; a node with a purple round means high betweenness centrality (>0.1).

More than half of the top 10 institutions were from China (6/11), followed by the United States (8/11) (Figure 4B) (Table 3). Southeast Univ (82,2.37%) published the most papers, followed by Chinese Acad Sci, Nanjing Univ, and Islamic Azad Univ (Table 3).

3.4 The highly productive author

Eight thousand seven hundred forty-one researchers participated in Nanoparticles-leukemia research. Furthermore, 11 published more than 14 papers. Wang, Xuemei wrote the most articles (n = 40), followed by Chen, Baoan (n = 38), Jiang, hui (n = 18) (Table 4). It includes authors who have authored more than five articles (T ≥ 5) (n = 80) to construct authors (Figure 5). Such knowledge graphs can present high-frequency researchers. As represented in Figure 5, Wang, Xuemei, Chen, Baoan, Jiang, hui, Gao, Feng and, Xia, guohua were closely linked and formed a group of authors with the reddest color, indicating that the group has made outstanding contributions in the field of Nanoparticles-leukemia. Zhang, Yu, and Gu, Ning constituted the second largest group of authors. Lee, Robert j. and Zhang, Wei constituted the third largest group of authors.

TABLE 4
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TABLE 4. The top 10 authors and co-cited authors of Nanoparticles-leukemia-related research.

FIGURE 5
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FIGURE 5. The density map of authors in Nanoparticles-leukemia research (T≥5). Notes: The size of the word, round, and the opacity of yellow are positively related to the publication frequency.

3.5 Keyword co-occurrence, clustering, and development

VOSviewer was utilized to present keyword co-occurrence (Table 5; Figures 6, 7) and cluster analyses (Figure 6). An Overall 4,124 keywords were abstracted, of which 90 occurred over nine times. The keyword density map (Figure 6) can find high-frequency co-occurrence entries and unveil hotspots in specific academic fields. As presented in Table 5 and Figure 6, “drug delivery systems” is a critical term, appearing 128 times in total (5.58%), followed by apoptosis, AML, gold nanoparticles, cytotoxicity, anti-cancer, targeted therapy, and drug resistance.

TABLE 5
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TABLE 5. The top 20 keywords of Nanoparticles-leukemia-related research.

FIGURE 6
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FIGURE 6. The density map of keywords in Nanoparticles-leukemia research (T≥9). Notes: The word’s size, round, and red opacity positively relate to the co-occurrence frequency.

FIGURE 7
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FIGURE 7. Keyword co-occurrence network and clusters in Nanoparticles-leukemia research (Notes: The size of the node and word reflects the co-occurrence frequencies, the link indicates the co-occurrence relationship, and the same color of the node represents the same cluster.

Cluster analysis can reveal the knowledge architecture of a research field (Karwath et al., 2021). The net was separated into three clusters according to the link strength of keyword co-occurrence (Figure 7). The keywords in each cluster were highly homogeneous. Cluster 1 (red) was the most significant cluster with 33 co-occurrence keywords, including nanoparticles, drug delivery systems, nanomedicines, liposomes, chitosan nanoparticles, and nanotechnology. The keywords of Cluster 1 were mainly related to nanoparticles used in the diagnosis and treatment of leukemia. Cluster 2 (green) was primarily associated with the type and treatment of leukemia and included 35 keywords, such as leukemia, acute myeloid leukemia, gold nanoparticles, targeted therapy, magnetic nanoparticles, chemotherapy, immunotherapy, and chronic lymphocytic leukemia. Cluster 3 (blue) focused on Specific molecular mechanisms and existing problems in the application of nanoparticles in leukemia and contained 25 keywords, including apoptosis, cytotoxicity, anti-cancer, drug resistance, doxorubicin, aptamers, silver nanoparticles, daunorubicin, reactive oxygen species, and siRNA.

The keyword with the most powerful citation burst was developed by CiteSpace and could present the citation status of high-frequency keywords. Keywords are sorted by citation strength, with dark blue representing how long the keyword has existed and red representing the time it has been cited in a burst. High-frequency keywords (Top 50) are presented in Figure 8. As per the results, the drug resistance with high citation strength (4.7) has been in a state of citation burst in recent years and may continue to become a research hotspot in the future.

FIGURE 8
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FIGURE 8. Top 50 keywords with the most vigorous citation burst r (sorted by the strength). Notes: The Blue bars mean the published reference; the red bars mean citation burstiness.

3.6 Co-cited reference and reference burst

Our team used CiteSpace to identify the co-cited references (Table 6). results show that the top 10 co-cited references were co-cited ≥ 29 times, three of which were co-cited more than 40 times. The most frequently co-cited reference is a paper written by Peer, Dan, et al. published in NATURE NANOTECHNOLOGY in 2007, entitled “Nanocarriers as an emerging platform for cancer therapy” (Peer et al., 2007), followed by an article entitled “Aptamers evolved from live cells as effective molecular probes for cancer study” (Shangguan et al., 2006). Reference with citation burst is the references often cited over time. In CiteSpace, our team set the burst duration to ≥ 2 years. We identified 99 references with the total citations and selected the top 20 references as the object of analysis. Figure 9 shows that the top 20 burst references were published after 1999 and had high citation outbreaks in 2017–2022. Notably, by 2022, 8 references (32%) were in a state of citation burst. The most substantial citation burst reference was “Synergistic enhancement effect of magnetic nanoparticles on anti-cancer drug accumulation in cancer cells.” Zhang, Renyun, and others have maintained a high citation rate since their publication in NANOTECHNOLOGY (Zhang et al., 2006).

TABLE 6
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TABLE 6. Top 10 co-cited references for Nanoparticles-leukemia-related research.

FIGURE 9
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FIGURE 9. Top 20 references with the most powerful citation bursts (sorted by the strength). Notes: The Blue bars mean the published reference; the red bars mean citation burstiness.

3.7 Analysis of journal, countries, and keywords of the top 100 most-cited articles

The top 100 most-cited articles were defined as cited articles with a high correlation with Nanoparticles-leukemia. We analyzed the journals and co-cited journals of the top 100 most-cited articles. (Table 7, Table 8, and Figure 10). Fifteen journals have published more than two articles, of which ACS Nano (n = 10), ANALYTICAL CHEMISTRY (n = 8), and CLINICAL CANCER RESEARCH (n = 5) rank top 3—followed by FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY (n = 4).

TABLE 7
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TABLE 7. The top 10 journals of top100 cited articles research.

TABLE 8
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TABLE 8. The top co-cited 20 journals of top100 cited articles research.

FIGURE 10
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FIGURE 10. The dual-map overlay of journals related to the top 100 most cited references in Nanoparticles-leukemia research. Notes: The citing journals were on the left, the cited journals were on the right, and the colored path represents the citation relationship.

In the co-cited journals, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (n = 233) was the most common, followed by CANCER RESEARCH (n = 217), JOURNAL OF CONTROLLED RELEASE (n = 202), and JOURNAL OF THE AMERICAN CHEMICAL SOCIETY (n = 176). Interestingly, in the top 100 most-cited articles field, FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY is not only a high publication volume journal but also a high co-citation journal. Roughly consistent with the overall field analysis, journal analysis of the top 100 most-cited articles identified three primary orange citation paths, which suggests that research published in the Physics/Materials/chemistry and Molecular/Biology/Immunology journal is predominantly cited by a study published in the Molecular/Biology/Genetics and Chemistry/Materials/Physics journal.

We also analyzed the countries with the top 100 most-cited articles (Figure 11). United States (n = 54) was the nation with the most papers, followed by China (n = 29). China has frequent academic exchanges with the United States, while the United States has ties with ten countries, including CHINA, JAPAN, and GERMANY. To further analyze the development content and trend of the Nanoparticles-leukemia field, we analyzed the keywords of the top 100 articles. The keyword of the top 20 (Table 9) coincided with the top 20 (Table5) in the Nanoparticles-leukemia field, such as targeted therapy, nanoparticles, leukemia, aptamers, drug-resistance, and drug delivery systems, doxorubicin, cytotoxicity, apoptosis, and acute myeloid leukemia. This shows that the primary research content of Nanoparticles-leukemia is related to the above keywords. The net was separated into three clusters according to the link strength of keyword co-occurrence (Figure 12). Cluster 1 (red) was the most significant cluster with 49 co-occurrence keywords, including nanoparticles, acute myeloid-leukemia, drug delivery system, doxorubicin, and aptamers. The theme of Cluster 1 is highly correlated with the design strategy of the nano drug delivery system. Cluster 2 (green) was primarily associated with the specific mechanism and possible hindrance of the anti-cancer effect of nano-drugs and included 16 terms, such as anti-cancer, apoptosis, cytotoxicity, damage, drug resistance, therapy, and toxicity. Cluster 3 (blue) focuses on immunotherapy and targeted therapy related to the nano-drug delivery system and contains 15 terms, such as folate receptor, gene therapy, ligands, liposomal doxorubicin, liposomes, molecular recognition, t-cells, targeted therapy, and tumor-cells.

FIGURE 11
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FIGURE 11. Country-to-country relations of Top 100 Most-cited Articles.

TABLE 9
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TABLE 9. The top 20 keywords of top100 cited articles research.

FIGURE 12
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FIGURE 12. Keyword co-occurrence network and clusters in Nanoparticles-leukemia research. Notes: The size of the node and word reflects the co-occurrence frequencies, the link indicates the co-occurrence relationship, and the same color of the node represents the same cluster.

4 Discussion

4.1 General information

According to data from the WoSCC database, as of 2 August 2022, 8,741 authors from 2,174 institutions in 80 countries have published 1825 studies on Nanoparticles-leukemia in 476 academic journals.

The annual output change and cited frequency are essential indicators of the development trends in this field. In the included literature, Luisa T ondelli et al. constructed polymer nanospheres that can increase leukemia cells’ uptake of antisense oligonucleotides (Tondelli et al., 1999). Since then, related articles in the field of Nanoparticles-leukemia have shown an upward trend (Figure 2). Nanoparticles-leukemia-related articles can be separated into 3 phases, namely “budding,” “steady growth,” and “fast developmental process.” “Budding” (1999–2009): The concept of the effect of Nanoparticles on leukemia research is beginning to appear. In these 11 years, no more than 50 articles were published each year, and the annual citation frequency was less than 1000. “Steady growth” (2010–2016): Nanoparticles-leukemia received more attention from scientists, and the output every year increased stably. “Fast developmental process” (2017 to present): At this stage, not only did the number of articles gradually increase steadily but also the citation frequency showed a turning rise, indicating that Nanoparticles-leukemia research has been paid more attention increasingly by researchers and developed rapidly. Furthermore, the growth trends in this field are promising.

The analysis of journals and co-cited journals (Tables 1, 2) revealed that the INTERNATIONAL JOURNAL OF NANOMEDICINE published the most significant number of studies and obtained more co-cited references in the Nanoparticles-leukemia field. This means that the journal has a strong influence in the field of nano-leukemia. The dual-map overlay of journals represents their theme distributional status (Figure 3). This overlay exhibited four central citation paths from Molecular/Biology/Immunology and Physics/Materials/chemistry journals to Molecular/Biology/Genetic and Chemistry/Materials/Physics co-cited journals. Concurrently, journals at the Q1 JCR division with high IF took up half of the top 10 journals (75%) and co-cited journals (100%), indicating that these journals publish studies on and are vital for Nanoparticles-leukemia associated research. The analysis of countries/institutions related to Nanoparticles-leukemia studies shows (Table 3; Figure 4) that China, the United States, and India are the top three producers.

However, the United States, Germany, France, and Canada could potentially induce revolutionary breakthroughs. Italy, the United States, Germany, and South Korea were the first nations to carry out Nanoparticles-leukemia-related studies, followed by China and France. This shows that the United States has always been fruitful and influential in studying Nanoparticles-leukemia. Notably, China started relatively late but has become one of the most productive contributors in recent years. This may be related to the increased attention due to the high incidence and mortality of Leukemia in China.

Furthermore, cooperation between diverse nations, particularly America, is very active, revealing that research on Nanoparticles-leukemia has aroused widespread concern worldwide, and the United States is the primary cooperation center. The top 11 organizations come from three nations: 8 out of 11 are from China, 2 out of 11 are from the United States, and one is from Iran. Moreover, our team discovered fruitful collaboration among Southeast Univ, Chinese Acad Sci, Nanjing Univ, and other organizations, which has contributed remarkably to the field of Nanoparticles-leukemia.

Highlighting the contributions of active scholars, such as those who co-appear or co-cite articles in a particular field, can assist researchers in moving forward along this path and offer more directions and guidance. Here (Table 4; Figures 4, 5), wang and Xue mei published the most papers. Additionally, maps of researchers and co-cited researchers provide data regarding the underlying cooperators and powerful academic teams. Scholars have actively collaborated within and between organizations in Nanoparticles-leukemia, particularly among researchers. Overall, 20 scholars from 4 organizations published a critical review titled “Targeted Delivery of microRNA-29b by Transferrin-Conjugated Anionic Lipopolyplex Nanoparticles: A Novel Therapeutic Strategy in Acute Myeloid Leukemia” (Huang et al., 2013). This suggests that these powerful groups might be the underlying cooperators of scholars.

4.2 Knowledge base

The co-cited references have been cited together in other articles. Nevertheless, the knowledge base is a pool of co-cited references cited by relevant academic teams, which is not entirely equal to frequently cited references. In the bibliometric analyses, In the Nanoparticles-leukemia field, there are many overlapping parts in the top 10 high co-cited articles and the top 20 citation burst articles (Table 6; Figure 9). This shows that the knowledge base constructed in this study has a substantial reference value.

In 2007, NATURE NANOTECHNOLOGY published the most co-cited Nanoparticles-leukemia studies by Peer, Dan, et al. (n = 54) (Peer et al., 2007). This article reviews the different mechanisms of targeted delivery of nanomedicines to tumors and reports the research progress of nano-based platforms for treating leukemia. Shangguan, Dihua et al. wrote the second co-citation research on PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (Shangguan et al., 2006). This study developed a strategy by which a set of aptamers for specific recognition of leukemic cells could be generated, and it is also a Citation Burst article (Strength = 5.7, duration = 2009–2011). Davis, Mark E. et al. (2008) published the third co-cited article in the NATURE REVIEWS DRUG DISCOVERY. (Davis et al., 2008). Unlike the most co-cited reference, this review mainly summarized the application of nanoparticles in preclinical and clinical studies, focusing on the application of nanoparticles in leukemia. The fourth co-cited paper was published in the Nanoparticles in cancer therapy and diagnosis by Brigger et al. (2002). In 2002. This review provides an update on using conventional or long-cycle nanoparticles to target tumors. In 2015, Petros, Robby A et al. reported the fifth co-cited study in the NATURE REVIEWS DRUG DISCOVERY. (Petros and DeSimone, 2010); this review highlights recent advances that are important for the rational design of such nanoparticles and discusses the challenges to realizing their potential and it is also a Citation Burst article (Strength = 5.62, duration = 2013–2015). In the sixth article, published by Connor et al. (2005). In 2005, gold nanoparticles are studied in this paper. Although gold nanoparticles can be ingested by leukemia cells and cause cytotoxicity, they can be non-toxic by surface modification. In 2013, CLINICAL CANCER RESEARCH published the seventh co-citation study by Huang et al. (2013). The research team mainly used transferrin-conjugated anionic lipid polymers to construct composite nano-drugs for the treatment of leukemia, which carried a mimic of microRNA-29b. The eighth co-cited article was written by Blanco, Elvin, et al. in NATURE BIOTECHNOLOGY, 2015. (Blanco et al., 2015). This paper mainly reviews the physical obstacles in nanoparticle transport and the solutions to overcome the biological obstacles. It is also explained that the future research focus of nanoparticles in leukemia is to use a nanoparticles-based platform for gene delivery. Notably, it is a Citation Burst article (Strength = 5.33, duration = 2018–2019). In 2012, the JOURNAL OF CONTROLLED RELEASE published the ninth co-citation research completed by Yechezkel, Barenholz. This review summarizes the history and scientific viewpoints of the development of Doxil, as well as the experiences and lessons learned from its development, and discusses its application in leukemia (Zucker et al., 2012). In 2017, the 10th co-cited paper in the NATURE REVIEWS CANCER by Jinjun Shi and others. This review summarizes the historical schedule of significant developments in cancer nanomedicine, predicts the potential markers of the EPR effect and nano therapy effect, and summarizes the clinical application of nanomedicine in leukemia (Deng et al., 2018).

Overall, the top 10 co-cited papers highlighted reviews (six reviews completed in a different year), different nanoparticles used in the treatment of leukemia (Small-Molecule Drugs, Small-Molecule Drugs, Nanoparticles for Gene Therapy, Nanoparticles for Combined Therapy, and Nanoparticles for Photodynamic Therapy), the status of leukemia treatment (Chemotherapy, Radiation Therapy, Radiation Therapy, Targeted Therapy) and Obstacles of nano-drugs in the treatment of leukemia (safety, targeting, inadequate drug release response, drug resistance).

4.3 Hot topic development, knowledge structure, and emerging topics

In bibliometric analysis, keyword/term co-occurrence (Table 5; Figure 6, and Figure 7) can indicate a hot spot in an academic field, and the keyword citation burst (Figure 8) can display the evolutionary process of novel hot spots. High-frequency keywords (Table 5, 9 and Figure 7) include targeted therapy, nanoparticles, leukemia, aptamers, drug resistance, drug delivery systems, doxorubicin, cytotoxicity, apoptosis, and acute myeloid leukemia, which are considered the focus of Nanoparticles-leukemia research. With time, new topics continue to emerge (Figure 8). During the nascent stage (1999–2009), emerging keywords include carbon nanotube, oxidative stress, P-glycoprotein, and so on. This is also in line with the actual situation. At this stage, researchers tried to clarify the pathogenesis of leukemia. In the steady growth phase (2010–2016), These keywords are mainly related to the Researchers who have done much research on nano-drugs in the treatment of cancer, so keywords related to anti-cancer nano-drugs have emerged (cancer therapy, targeted delivery, silver nanoparticle, paclitaxel, and nanocomposite). In the rapid developmental phase (2017–present), with the clinical application of nano-drugs (lipid nanoparticle, liposome, polymer), clinical-related problems (drug resistance, stability) and more nano-synthesis strategies have emerged (green synthesis). Unfortunately, although many studies have focused on solving the problem of drug resistance in leukemia, there is still no good solution.

In addition, keyword clusters can indicate knowledge of the inner architecture and unveil academic frontiers of these disciplines. Cluster analyses show three primary clusters in the field of Nanoparticles-leukemia (Figures 7, 12): nanoparticles for the diagnosis and treatment of leukemia, related to the type and treatment of leukemia, the specific molecular mechanism, and existing problems of the application of nanoparticles in leukemia. As shown earlier, anti-cancer drug resistance remains a significant obstacle to leukemia treatment. It is urgent to explore the mechanisms of drug resistance (multi-drug efflux pumps, drug metabolic enzymes, secondary mutations, remodeling of bone marrow microenvironment, metabolic changes, abnormal activation of signal pathways) and develop targeted and drug-resistant nano-drugs.

Studies presenting strongly-cited breakthroughs (Figure 9) can also characterize new topics in a field. The article with the most vigorous citation burst intensity (strength = 8.45) is a monograph published by Chen Baoan from Southeast University in NANOTECHNOLOGY (Zhang et al., 2006). This article found that magnetic nanoparticles can increase the accumulation of chemotherapeutic drugs in leukemia-resistant cell lines, resulting in different nanoparticles. Different properties of the particles can have wildly different effects on cells. At the same time, to this day, 7 of the 25 highly cited articles are still in a state of the continuous outbreak. These seven references reflect the most recent Nanoparticles-leukemia themes and are, therefore, worthy of further discussion. We rank the eight articles according to the strength of citation bursts, and the first continuous citation of outbreaks paper is also a high Co-cited paper (strength = 7.79), which shows that this paper has an indelible contribution in the field of nano-leukemia (Shi et al., 2017). The second continuous citation of outbreaks paper (strength = 7.68) was published on BIOMATERIALS by Professor Yan Fei of Jilin University, which designed functionalized gold nanoparticles that can treat AML by affecting DNA methylation (Deng et al., 2018). The third continuous citation of outbreaks paper (strength = 7.51) is from the American Cancer Society’s Scientific Vice Presiden Ahmedin Jemal, published at CA-A CANCER JOURNAL FOR CLINICIANS. This paper provides a comprehensive overview of global cancer and focuses on the global situation of leukemia (Bray et al., 2018). The fourth-ranked literature (strength = 6.58) is a blockbuster review of INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES published by Ivan Mijakovic of Chalmers University of Technology, which comprehensively summarizes the use of gold nanoparticles in human cancer (Singh et al., 2018).Interestingly, the paper also cited the sixth high co-cited literature and agreed that gold nanoparticles of a particular size might not be toxic to leukemic cells. The fifth-ranked literature (strength = 5.62) is a clinical study published by Ivan Mijakovic and JOURNAL OF CLINICAL ONCOLOGY, which focuses on CPX-351 (a dual liposome encapsulation of cytarabine and daunorubicin) (Lancet et al., 2018). Compared with traditional 7 + 3, CPX-351 can significantly prolong the survival time of leukemia patients with the same safety. This shows that nano-drugs can not only play an anti-cancer role in the theory but also improve patients’ quality of life.

To precisely analyze Nanoparticles-leukemia research-related content, we analyzed journals, co-cited journals, and national and keyword analyses of the top most cited 100 articles (Parmar et al., 2019; Mainwaring et al., 2020). The study of journals and co-cited journals (Tables 7, 8) demonstrated that ACS NANO, ANALYTICAL CHEMISTRY, and BIOMATERIALS published the highest number of articles on Nanoparticles-leukemia but also acquired the most co-cited references. The contribution of FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY in Nanoparticles-leukemia research is also noteworthy. In the field of top100, the journal is not only a high-output journal and a highly co-cited journal but is also published as a highly cited journal in this field. Larissa Pereira Brumano summarized the role of L-asparaginase in treating acute lymphoblastic leukemia and the existing methods to improve the biocompatibility and therapeutic efficiency of L-asparaginase (Brumano et al., 2019). This study will facilitate follow-up scholars to gain an in-depth understanding of the mechanisms involved in ASNase treatment to develop new and effective strategies to improve this biopharmaceutical.

The dual-map overlay analyses of the top 100 most-cited articles as well as all articles in the field (Figure 10) show 3 of the primary citation paths from Physics/Materials/chemistry and Molecular/Biology/Immunology co-cited journals to Molecular/Biology/Genetics and Chemistry/Materials/Physics journals, which indicates that Nanoparticles-leukemia studies not only focused on molecular biology but also closely related to the field of materials and physics. The nation-wise analysis findings of the top 100 most-cited papers are consistent with those of all articles in the field, showing that the United States, CHINA, and GERMANY are the largest producers. Additionally, cooperation between the United States and other countries is active, indicating that Nanoparticles-leukemia-related research has attracted worldwide attention.

4.4 The possible focus of future research

The existing treatment methods for leukemia mainly include chemotherapy, radiotherapy, etc. However, the emergence of drug resistance significantly hinders the efficacy of chemotherapy and leads to a poor prognosis, and the side effects caused by poor targeting also make patients miserable. How to solve the chemotherapy resistance, improve the prognosis and improve the quality of life of patients has become a thorny problem. With the rise of nanomedicine and targeted therapy, future researchers can explore the mechanism of drug resistance and active targeting and synthesize nano-drugs that have both targeted therapy and chemotherapy resistance according to the mechanism, which may be the dawn of the solution of leukemia.

5 Limitation

The present study had some inherent flaws in bibliometrics. First, data were acquired from the WoSCC database, excluding some research not in WoSCC. Nevertheless, WoSCC is the most frequently used scientific econometric research database; data from WoSCC can cover the majority of information to a certain extent. Second, all data were acquired via bibliometric tools based on machine learning and natural language processing, which may cause biases in other bibliometric studies. Third, in the included article, part of the review also describes diseases other than leukemia, which may lead to analysis deviation. Nevertheless, compared to the most recent conventional reviews, the results herein are consistent and provide scholars with more objective data and insights.

6 Conclusion

In summary, research on Nanoparticles-leukemia is fast-developing, and global collaboration is active, wherein America and China is the primary collaboration center. Currently, the research predominantly highlights the fields of molecular biology, Immunology, physics, materials, and chemistry. The three primary aspects of Nanoparticles-leukemia-related studies include nanoparticles for the diagnosis and treatment of leukemia, the type and treatment of leukemia, the specific molecular mechanism, and existing problems of the application of nanoparticles in leukemia. Future research may be to synthesize nanoparticles with both targeting and reversible drug resistance. Our study is the first to research Nanoparticles-leukemia-associated articles using bibliometrics and knowledge graph systems. INTERNATIONAL JOURNAL OF NANOMEDICINE is the journal with the highest output. The contribution of FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY is also noteworthy.In contrast to conventional reviews, the present study offers preliminary and objective insights into Nanoparticles-leukemia studies. We believe that the results of the current report will provide valuable references for future research.

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 authors.

Author contributions

Conceptualization, RW, and CZ; methodology, SJ, and ZZ; software, CB and GZ; validation, YH, BJ, and YS; formal analysis, BJ; investigation, XW; resources, QZ; data curation, XW; writing—original draft preparation, XW; writing—review and editing, XW; visualization, XW; supervision, XW; project administration, XW; funding acquisition, QZ All authors have read and agreed to the published version of the manuscript.

Funding

Central Universities of Central South University funded this research under Grant (No. 2020zzts896). This work was supported by grants from the Project of Kunlun Elite, High-End Innovation and Entrepreneurship Talents of Qinghai Province (2021 No. 13). The guiding project of Qinghai Provincial Health and Family Planning Commission (2018-wjzdx17). This work was supported by the National Natural Science Foundation of China (No. 82260365).

Acknowledgments

XW would like to thank his wife Ethna for her unwavering support of this study.

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.

References

Bai, L., Chen, P., Zhao, Y., Hang, R., Yao, X., Tang, B., et al. (2021). A micro/nano-biomimetic coating on titanium orchestrates osteo/angio-genesis and osteoimmunomodulation for advanced osseointegration. Biomaterials 278, 121162. Epub 20211004. doi:10.1016/j.biomaterials.2021.121162

PubMed Abstract | CrossRef Full Text | Google Scholar

Björnmalm, M., Thurecht, K. J., Michael, M., Scott, A. M., and Caruso, F. (2017). Bridging bio-nano science and cancer nanomedicine. ACS Nano 11 (10), 9594–9613. Epub 20170919. doi:10.1021/acsnano.7b04855

PubMed Abstract | CrossRef Full Text | Google Scholar

Blanco, E., Shen, H., and Ferrari, M. (2015). Principles of nanoparticle design for overcoming biological barriers to drug delivery. Nat. Biotechnol. 33 (9), 941–951. doi:10.1038/nbt.3330

PubMed Abstract | CrossRef Full Text | Google Scholar

Bray, F., Ferlay, J., Soerjomataram, I., Siegel, R. L., Torre, L. A., and Jemal, A. (2018). Global cancer statistics 2018: Globocan estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA A Cancer J. Clin. 68 (6), 394–424. doi:10.3322/caac.21492

PubMed Abstract | CrossRef Full Text | Google Scholar

Brigger, I., Dubernet, C., and Couvreur, P. (2002). Nanoparticles in cancer therapy and diagnosis. Adv. Drug Deliv. Rev. 54 (5), 631–651. doi:10.1016/s0169-409x(02)00044-3

PubMed Abstract | CrossRef Full Text | Google Scholar

Brumano, L. P., da Silva, F. V. S., Costa-Silva, T. A., Apolinario, A. C., Santos, J., Kleingesinds, E. K., et al. (2019). Development of L-asparaginase biobetters: Current research status and review of the desirable quality profiles. Front. Bioeng. Biotechnol. 6, 212. doi:10.3389/fbioe.2018.00212

PubMed Abstract | CrossRef Full Text | Google Scholar

Cao, K., Du, Y., Bao, X., Han, M., Su, R., Pang, J., et al. (2022). Glutathione-bioimprinted nanoparticles targeting of N6-methyladenosine fto demethylase as a strategy against leukemic stem cells. Small 18 (13), e2106558. Epub 20220204. doi:10.1002/smll.202106558

PubMed Abstract | CrossRef Full Text | Google Scholar

Chen, H., Zheng, D., Pan, W., Li, X., Lv, B., Gu, W., et al. (2021). Biomimetic nanotheranostics camouflaged with cancer cell membranes integrating persistent oxygen supply and homotypic targeting for hypoxic tumor elimination. ACS Appl. Mat. Interfaces 13 (17), 19710–19725. Epub 20210423. doi:10.1021/acsami.1c03010

CrossRef Full Text | Google Scholar

Connor, E. E., Mwamuka, J., Gole, A., Murphy, C. J., and Wyatt, M. D. (2005). Gold nanoparticles are taken up by human cells but do not cause acute cytotoxicity. Small 1 (3), 325–327. doi:10.1002/smll.200400093

PubMed Abstract | CrossRef Full Text | Google Scholar

Davis, M. E., Chen, Z., and Shin, D. M. (2008). Nanoparticle therapeutics: An emerging treatment modality for cancer. Nat. Rev. Drug Discov. 7 (9), 771–782. doi:10.1038/nrd2614

PubMed Abstract | CrossRef Full Text | Google Scholar

Deng, R., Shen, N., Yang, Y., Yu, H. L., Xu, S. P., Yang, Y. W., et al. (2018). Targeting epigenetic pathway with gold nanoparticles for acute myeloid leukemia therapy. Biomaterials 167, 80–90. doi:10.1016/j.biomaterials.2018.03.013

PubMed Abstract | CrossRef Full Text | Google Scholar

Du, A., Wu, X., Gao, Y., Jiang, B., Wang, J., Zhang, P., et al. (2021). M6a regulator-mediated methylation modification patterns and tumor microenvironment infiltration characterization in acute myeloid leukemia. Front. Immunol. 12, 789914. Epub 20211123. doi:10.3389/fimmu.2021.789914

PubMed Abstract | CrossRef Full Text | Google Scholar

Huang, X. M., Schwind, S., Yu, B., Santhanam, R., Wang, H. Y., Hoellerbauer, P., et al. (2013). Targeted delivery of microrna-29b by transferrin-conjugated anionic Lipopolyplex nanoparticles: A novel therapeutic strategy in acute myeloid leukemia. Clin. Cancer Res. 19 (9), 2355–2367. doi:10.1158/1078-0432.Ccr-12-3191

PubMed Abstract | CrossRef Full Text | Google Scholar

Huang, Y., Zhan, Q., Wu, C., Liao, N., Jiang, Z., Ding, H., et al. (2022). Trends and hotspots in nanoparticles for the targeted delivery of nucleic acids: A ten-year bibliometric study. Front. Pharmacol. 13, 868398. Epub 20220504. doi:10.3389/fphar.2022.868398

PubMed Abstract | CrossRef Full Text | Google Scholar

Izci, M., Maksoudian, C., Manshian, B. B., and Soenen, S. J. (2021). The use of alternative strategies for enhanced nanoparticle delivery to solid tumors. Chem. Rev. 121 (3), 1746–1803. Epub 20210114. doi:10.1021/acs.chemrev.0c00779

PubMed Abstract | CrossRef Full Text | Google Scholar

Jiang, D., Wu, X., Sun, X., Tan, W., Dai, X., Xie, Y., et al. (2022). Bone mesenchymal stem cell-derived exosomal microrna-7-5p inhibits progression of acute myeloid leukemia by targeting Osbpl11. J. Nanobiotechnology 20 (1), 29. Epub 20220110. doi:10.1186/s12951-021-01206-7

PubMed Abstract | CrossRef Full Text | Google Scholar

Kaldor, J. M., Day, N. E., Clarke, E. A., Van Leeuwen, F. E., Henry-Amar, M., Fiorentino, M. V., et al. (1990). Leukemia following hodgkin's disease. N. Engl. J. Med. Overseas. Ed. 322 (1), 7–13. doi:10.1056/nejm199001043220102

CrossRef Full Text | Google Scholar

Karwath, A., Bunting, K. V., Gill, S. K., Tica, O., Pendleton, S., Aziz, F., et al. (2021). Redefining Β-blocker response in heart failure patients with sinus rhythm and atrial fibrillation: A machine learning cluster Analysis. Lancet 398 (10309), 1427–1435. Epub 20210830. doi:10.1016/s0140-6736(21)01638-x

PubMed Abstract | CrossRef Full Text | Google Scholar

Lancet, J. E., Uy, G. L., Cortes, J. E., Newell, L. F., Lin, T. L., Ritchie, E. K., et al. (2018). Cpx-351 (cytarabine and daunorubicin) liposome for injection versus conventional cytarabine plus daunorubicin in older patients with newly diagnosed secondary acute myeloid leukemia. J. Clin. Oncol. 36 (26), 2684–2692. doi:10.1200/jco.2017.77.6112

PubMed Abstract | CrossRef Full Text | Google Scholar

Li, C., You, X., Xu, X., Wu, B., Liu, Y., Tong, T., et al. (2022). A metabolic reprogramming amino acid polymer as an immunosurveillance activator and leukemia targeting drug carrier for T-cell acute lymphoblastic leukemia. Adv. Sci. (Weinh). 9 (9), e2104134. Epub 20220126. doi:10.1002/advs.202104134

PubMed Abstract | CrossRef Full Text | Google Scholar

Lin, C. K., Hsu, Y. T., Brown, K. D., Pokharel, B., Wei, Y., and Chen, S. T. (2020). Residential exposure to petrochemical industrial complexes and the risk of leukemia: A systematic review and exposure-response meta-analysis. Environ. Pollut. 258, 113476. Epub 20191122. doi:10.1016/j.envpol.2019.113476

PubMed Abstract | CrossRef Full Text | Google Scholar

Lin, W., Kampf, N., and Klein, J. (2020). Designer nanoparticles as robust superlubrication vectors. ACS Nano 14 (6), 7008–7017. Epub 20200520. doi:10.1021/acsnano.0c01559

PubMed Abstract | CrossRef Full Text | Google Scholar

Lin, W., Kluzek, M., Iuster, N., Shimoni, E., Kampf, N., Goldberg, R., et al. (2020). Cartilage-inspired, lipid-based boundary-lubricated hydrogels. Science 370 (6514), 335–338. doi:10.1126/science.aay8276

PubMed Abstract | CrossRef Full Text | Google Scholar

Locatelli, F., Zugmaier, G., and von Stackelberg, A. (2021). Blinatumomab vs chemotherapy among children with relapsed acute lymphoblastic leukemia-reply. Jama 326 (4), 359–360. doi:10.1001/jama.2021.8154

CrossRef Full Text | Google Scholar

Lokody, I. (2014). Drug resistance: Overcoming resistance in acute myeloid leukaemia treatment. Nat. Rev. Cancer 14 (7), 453–3. doi:10.1038/nrc3776

PubMed Abstract | CrossRef Full Text | Google Scholar

Lussana, F., Gritti, G., and Rambaldi, A. (2021). Immunotherapy of acute lymphoblastic leukemia and lymphoma with T cell-redirected bispecific antibodies. J. Clin. Oncol. 39 (5), 444–455. Epub 20210112. doi:10.1200/jco.20.01564

PubMed Abstract | CrossRef Full Text | Google Scholar

Mainwaring, A., Bullock, N., Ellul, T., Hughes, O., and Featherstone, J. (2020). The top 100 most cited manuscripts in bladder cancer: A bibliometric analysis (review article). Int. J. Surg. 75, 130–138. Epub 20200125. doi:10.1016/j.ijsu.2020.01.128

PubMed Abstract | CrossRef Full Text | Google Scholar

Montserrat, E., and Dreger, P. (2015). Hope for high-risk chronic lymphocytic leukemia relapsing after allogeneic stem-cell transplantation. J. Clin. Oncol. 33 (14), 1527–1529. Epub 20150413. doi:10.1200/jco.2014.60.3282

PubMed Abstract | CrossRef Full Text | Google Scholar

Parmar, A., Ganesh, R., and Mishra, A. K. (2019). The top 100 cited articles on obsessive compulsive disorder (ocd): A citation analysis. Asian J. Psychiatr. 42, 34–41. Epub 20190326. doi:10.1016/j.ajp.2019.03.025

PubMed Abstract | CrossRef Full Text | Google Scholar

Peer, D., Karp, J. M., Hong, S., FaroKhzad, O. C., Margalit, R., and Langer, R. (2007). Nanocarriers as an emerging platform for cancer therapy. Nat. Nanotechnol. 2 (12), 751–760. doi:10.1038/nnano.2007.387

PubMed Abstract | CrossRef Full Text | Google Scholar

Petersen, G. H., Alzghari, S. K., Chee, W., Sankari, S. S., and La-Beck, N. M. (2016). Meta-analysis of clinical and preclinical studies comparing the anticancer efficacy of liposomal versus conventional non-liposomal doxorubicin. J. Control. Release 232, 255–264. Epub 20160422. doi:10.1016/j.jconrel.2016.04.028

PubMed Abstract | CrossRef Full Text | Google Scholar

Petros, R. A., and DeSimone, J. M. (2010). Strategies in the design of nanoparticles for therapeutic applications. Nat. Rev. Drug Discov. 9 (8), 615–627. doi:10.1038/nrd2591

PubMed Abstract | CrossRef Full Text | Google Scholar

Shangguan, D., Li, Y., Tang, Z. W., Cao, Z. H. C., Chen, H. W., Mallikaratchy, P., et al. (2006). Aptamers evolved from live cells as effective molecular probes for cancer study. Proc. Natl. Acad. Sci. U. S. A. 103 (32), 11838–11843. doi:10.1073/pnas.0602615103

PubMed Abstract | CrossRef Full Text | Google Scholar

Shen, J., Lu, Z. G., Wang, J. Z., Zhang, T. L., Yang, J., Li, Y., et al. (2020). Advances of nanoparticles for leukemia treatment. ACS Biomater. Sci. Eng. 6 (12), 6478–6489. doi:10.1021/acsbiomaterials.0c01040

PubMed Abstract | CrossRef Full Text | Google Scholar

Shi, J. J., Kantoff, P. W., Wooster, R., and Farokhzad, O. C. (2017). Cancer nanomedicine: Progress, challenges and opportunities. Nat. Rev. Cancer 17 (1), 20–37. doi:10.1038/nrc.2016.108

PubMed Abstract | CrossRef Full Text | Google Scholar

Singh, P., Pandit, S., Mokkapati, V., Garg, A., Ravikumar, V., and Mijakovic, I. (2018). Gold nanoparticles in diagnostics and therapeutics for human cancer. Int. J. Mol. Sci. 19 (7), 1979. doi:10.3390/ijms19071979

CrossRef Full Text | Google Scholar

Tatar, A. S., Nagy-Simon, T., Tomuleasa, C., Boca, S., and Astilean, S. (2016). Nanomedicine approaches in acute lymphoblastic leukemia. J. Control. Release 238, 123–138. doi:10.1016/j.jconrel.2016.07.035

PubMed Abstract | CrossRef Full Text | Google Scholar

Tee, J. K., Yip, L. X., Tan, E. S., Santitewagun, S., Prasath, A., Ke, P. C., et al. (2019). Nanoparticles' interactions with vasculature in diseases. Chem. Soc. Rev. 48 (21), 5381–5407. doi:10.1039/c9cs00309f

PubMed Abstract | CrossRef Full Text | Google Scholar

Tondelli, L., Laus, M., Ricca, A., and Citro, G. (1999). Specifically designed polymeric nanospheres increase cellular uptake of unmodified antisense odns. Nucleosides Nucleotides 18 (6-7), 1677–1679. doi:10.1080/07328319908044820

PubMed Abstract | CrossRef Full Text | Google Scholar

Woyach, J. A. (2019). Can combination targeted therapy bring about another paradigm shift in chronic lymphocytic leukemia? J. Clin. Oncol. 37 (30), 2711–2713. Epub 20190828. doi:10.1200/jco.19.01718

PubMed Abstract | CrossRef Full Text | Google Scholar

Wu, X., Li, S., Chen, D., Zheng, G., Zhang, Z., Li, Z., et al. (2022). An inflammatory response-related gene signature associated with immune status and prognosis of acute myeloid leukemia. Am. J. Transl. Res. 14 (7), 4898–4917. Epub 20220715.

PubMed Abstract | Google Scholar

Wu, X., Zhang, X., Feng, W., Feng, H., Ding, Z., Zhao, Q., et al. (2021). A targeted erythrocyte membrane-encapsulated drug-delivery system with anti-osteosarcoma and anti-osteolytic effects. ACS Appl. Mat. Interfaces 13 (24), 27920–27933. Epub 20210614. doi:10.1021/acsami.1c06059

CrossRef Full Text | Google Scholar

Wu, Z., Zhang, X., Chen, D., Li, Z., Wu, X., Wang, J., et al. (2021). N6-Methyladenosine-Related lncrnas are potential remodeling indicators in the tumor microenvironment and prognostic markers in osteosarcoma. Front. Immunol. 12, 806189. Epub 20220112. doi:10.3389/fimmu.2021.806189

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, J., Song, L., Xu, L., Fan, Y., Wang, T., Tian, W., et al. (2021). Knowledge domain and emerging trends in ferroptosis research: A bibliometric and knowledge-map analysis. Front. Oncol. 11, 686726. Epub 20210603. doi:10.3389/fonc.2021.686726

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, R. Y., Wang, X. M., Wu, C. H., Song, M., Li, J. Y., Lv, G., et al. (2006). Synergistic enhancement effect of magnetic nanoparticles on anticancer drug accumulation in cancer cells. Nanotechnology 17 (14), 3622–3626. doi:10.1088/0957-4484/17/14/043

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, X., Ong'achwa Machuki, J., Pan, W., Cai, W., Xi, Z., Shen, F., et al. (2020). Carbon nitride hollow theranostic nanoregulators executing laser-activatable water splitting for enhanced ultrasound/fluorescence imaging and cooperative phototherapy. ACS Nano 14 (4), 4045–4060. Epub 20200410. doi:10.1021/acsnano.9b08737

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhao, Y., Sun, Y., Hang, R., Yao, R., Zhang, Y., Huang, D., et al. (2022). Biocompatible silane adhesion layer on titanium implants improves angiogenesis and osteogenesis. Biomater. Adv. 139, 213033. Epub 20220716. doi:10.1016/j.bioadv.2022.213033

PubMed Abstract | CrossRef Full Text | Google Scholar

Zucker, D., Andriyanov, A. V., Steiner, A., Raviv, U., and Barenholz, Y. (2012). Characterization of pegylated nanoliposomes Co-remotely loaded with topotecan and vincristine: Relating structure and pharmacokinetics to therapeutic efficacy. J. Control. Release 160 (2), 281–289. Epub 20111012. doi:10.1016/j.jconrel.2011.10.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: nanoparticles, target therapy, drug resistance, leukemia, chemotherapy

Citation: Wang R, Zhao C, Jiang S, Zhang Z, Ban C, Zheng G, Hou Y, Jin B, Shi Y, Wu X and Zhao Q (2022) Advanced nanoparticles that can target therapy and reverse drug resistance may be the dawn of leukemia treatment: A bibliometrics study. Front. Bioeng. Biotechnol. 10:1027868. doi: 10.3389/fbioe.2022.1027868

Received: 25 August 2022; Accepted: 14 September 2022;
Published: 10 October 2022.

Edited by:

Long Bai, East China University of Science and Technology, China

Reviewed by:

Yuanyuan Han, The University of Hong Kong, Hong Kong SAR, China
Jaison Jeevanandam, Universidade da Madeira, Portugal
Jun Cheng, University of Texas MD Anderson Cancer Center, United States

Copyright © 2022 Wang, Zhao, Jiang, Zhang, Ban, Zheng, Hou, Jin, Shi, Wu and Zhao. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Xin Wu, ZHJ4aW53dUAxNjMuY29t; Qiangqiang Zhao, emd4eXdzQDE2My5jb20=

Disclaimer: 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.