- Please check and comment entries here.
Cancer Nanotechnology, Global Trends
Nanomaterials are perhaps the most important scientific advancement in the last decade and have revolutionized many segments of society and technology including computers and electronics, engineering, military applications, and many others. There is no more important application benefitting human health than nanomedicine, indeed cancer nanotechnology seeks tfo apply nanoparticles and nanoconstructs to improve cancer detection, diagnosis, imaging, and therapy while reducing toxicity associated with traditional cancer therapy. A great deal of information in this important new cancer nanotechnology emerging sub-discipline has been published.
Numerous topics related to the applications of cancer nanotechnology were studied, from cancer detection and diagnosis to tumor imaging, drug delivery, and cancer therapy, and mainly concerned with the development in nanotechnology for the future of clinical cancer care. Our aim in this study was to collate and organize this wealth of information to investigate global directions and trends of cancer nanotechnology research from appropriate datasets of accredited literature, independent hubs, and scholarly research sources. We accumulated all data on cancer nanotechnology from the PubMed database during 2000–2021 . This analysis shows what direction the field has previously been going and is currently trending toward, and how the field has changed by exploring the most notable countries, common keywords, authors, institutions, and journals.
Great advancements in cancer nanotechnology have come in drug delivery, development of new materials, and a basic understanding of nanoparticle pharmacokinetics, biodistribution, and biological and clinical activity , one major direction being “monitoring, repair, and improvement of human biologic systems” . The link of cancer nanotechnology into clinical practice requires careful clinical, ethical, and societal consideration and a multidisciplinary approach. Advances in combination therapies based on transdisciplinary approaches have been made possible by interconnecting technology developers, physicists, chemists, and data scientists collaborating with clinicians and biologists to identify and devote effort to principal complications and enigmas, and clinical translation of cancer care and treatment . Multiple studies have shown that cancer nanotechnology has significant potential to improve current standards of care . In addition, a variety of nanomaterials were under investigation and development with the applications related to cancer nanotechnology, including biodegradable controlled-release polymers and polymeric nanoparticles, the dendrimer-mediated formation of multicomponent nanomaterials (e.g., receptor-targeted/peptide-conjugated dendrimer-encapsulated nanoparticles), lipid-based microparticles, organometallic complexes, and carbon- and silicon-based nanostructural materials . Biological performance of materials, biocompatibility, safety and toxicology of engineered nanomaterials, size distribution and size-dependent diffusion, surface chemistry, and their properties in biologic systems are also considered in the selection of specific nanomaterials for applications in cancer nanotechnology. On the other hand, Rueda G. et al., investigated the nanotechnology field using bibliometrics and social network analysis in 1992–2006 . They examined the inter-relationships among lead authors and co-authors, authors with the highest number of publications, and countries making the highest contributions to nanotechnology.
Thus, this paper carries out a thorough bibliometric analysis of cancer nanotechnology applications based on all the available publications throughout the past 21 years, which allows new researchers to learn how the fields are being explored and evolved in cancer nanotechnology. For this purpose, descriptive statistics analysis as an important part of machine learning was put into effect to quantitatively characterize and outline features of collected data, and semantic mapping analysis for multiscale data structure, and network analysis to represent and visualize data are used in this analysis. The purpose of this study from a multifaceted approach is to: (1) distinguish major words in abstracts, including keywords and their evolution, to determine and represent magnitude and direction of the field of study; (2) visualize clusters of scientific collaborations among authors and affiliations, and authors’ collaborative efforts from different countries; (3) identify productive publication countries, journals, authors, and affiliations in the cancer nanotechnology research field; and (4) explore and identify research areas under nanotechnology and the top cancer types. To the extent of our knowledge, which relies on the cancer nanotechnology database of over 50,000 publications we curated from the 2000–2021 PubMed database, no bibliometric analysis has been conducted in the field of cancer nanotechnology. Therefore, this study could provide us with original findings and important information, and insight into cancer nanotechnology’s dynamics and direction.
In summary, this study analyzes a total of 48,629 articles that 166,672 authors published on the cancer nanotechnology theme in 1701 journals, and they are identified for the analysis of global scientific production during the period ranging from 2000 to 2021 related to cancer nanotechnology using the PubMed database. Using this dataset, we further divided the documents into two samples: documents published in the top 100 or 50 journals using the journal impact factor (IF) as a scientometric index calculated by Clarivate  ranging from 5 ≤ IF ≤ 245 or 8 ≤ IF ≤ 245, respectively. The author’s keywords in this analysis are classified into different clusters based on the samples. This showed that the studies focused on the research of nanotechnology, nanoparticles, and cancer are the most used topics in the area of cancer nanotechnology. We found that the USA and China are the most productive countries in cancer nanotechnology, followed by the UK and India. In addition, the USA institutions have appeared on the list of most productive institutions in terms of publications, with the University of California among the highest. It was clear from the bibliometric analysis that the International Journal of Nanomedicine , and ACS Applied Materials and Interfaces are the journals with the most frequently cited papers. Cell lines, cancers, nanoparticles, detection, and therapy are some of the most frequently used co-occurring keywords among the samples, while breast cancer, lung cancer, prostate cancer, and colon cancer are among the top cancer types. Furthermore, drug delivery and delivery systems, cancer therapy, DNA nanotechnology, RNA nanotechnology, breast cancer, and drug resistance are among the top and significant research areas in nanotechnology.
2. Discussion of Global Trends in Cancer Nanotechnology
|Entire Dataset||Freq.||Top 100 Journals||Freq.||Top 50 Journals||Freq.|
|In Vivo||13,015||In Vivo||6086||In Vivo||2741|
|Entire Dataset||Top 100 Journals (5 ≤ IF ≤ 245)||Top 50 Journals (8 ≤ IF ≤ 245)|
|International Journal of Nanomedicine||2149||4.47||ACS Applied Materials and Interfaces||1839||8.33||Biomaterials||1786||10.3|
|ACS Applied Materials and Interfaces||1839||8.33||Biomaterials||1786||10.27||ACS Nano||1237||13.72|
|Biomaterials||1790||10.27||Nanoscale||1397||6.97||Biosensors and Bioelectronics||794||9.52|
|ACS Nano||1237||13.71||Anal Chemistry||800||6.35||Nano Letter||445||12.28|
|International Journal of Pharmaceutics||1054||4.51||Biosensors and Bioelectronics||794||9.53||J Am Chem Soc||406||14.7|
|Scientific Reports||845||4.12||Materials Science and Engineering C||752||5.32||Nat Commun||294||11.68|
|Analytical Chemistry||800||6.35||Journal of Biomedical Nanotech||562||5.34||Proc Natl Acad Sci USA||227||9.55|
|Biosensors and Bioelectronics||794||9.52||Theranostics||538||8.54||Adv Drug Deliv Rev||219||16.66|
|Materials Science and Engineering C||752||5.31||Biomacromolecules||506||5.67||Nat Nanotechnology||158||33.41|
The entry is from 10.3390/cancers13174417
- PubMed. 2020. Available online: https://pubmed.ncbi.nlm.nih.gov/?term=cancer+nanotechnology (accessed on 10 May 2021).
- Sharma, A.; Goyal, A.K.; Rath, G. Recent advances in metal nanoparticles in cancer therapy. J. Drug Target. 2018, 26, 617–632.
- Ehdaie, B. Application of nanotechnology in cancer research: Review of progress in the National Cancer Institute’s alliance for nano-technology. Int. J. Biol. Sci. 2007, 3, 108.
- Deshpande, D.A. Cancer Nanotechnology-The Recent Developments in the Cancer Therapy. Glob. J. Nanomed. 2015, 1, 1–6.
- Misra, R.; Acharya, S.; Sahoo, S.K. Cancer nanotechnology: Application of nanotechnology in cancer therapy. Drug Discov. Today 2010, 15, 842–850.
- Duncan, R.; Kreyling, W.G.; Biosseau, P.; Cannistraro, S.; Coatrieux, J.; Conde, J.P.; Hennick, W.; Oberleithner, H.; Rivas, J. ESF scientific forward look on nanomedicine. Eur. Sci. Found. Policy Brief. 2005, 1–6.
- Grodzinski, P.; Kircher, M.; Goldberg, M.; Gabizon, A. Integrating Nanotechnology into Cancer Care; American Chemical Society (ACS): Washington, DC, USA, 2019; Volume 13, pp. 7370–7376.
- Farrell, D.; Alper, J.; Ptak, K.; Panaro, N.J.; Grodzinski, P.; Barker, A.D. Recent Advances from the National Cancer Institute Alliance for Nanotechnology in Cancer; American Chemical Society (ACS): Washington, DC, USA, 2010; Volume 4, pp. 589–594.
- Stafford, E.G.; Riviere, J.E.; Xu, X.; Kawakami, J.; Wyckoff, G.J.; Jaberi-Douraki, M. Pharmacovigilance in patients with diabetes: A data-driven analysis identifying specific RAS antagonists with adverse pulmonary safety profiles that have implications for COVID-19 morbidity and mortality. J. Am. Pharm. Assoc. 2020, 60, e145–e152.
- Xu, X.; Mazloom, R.; Goligerdian, A.; Staley, J.; Amini, M.; Wyckoff, G.J.; Riviere, J.; Jaberi-Douraki, M. Making Sense of Pharmacovigilance and Drug Adverse Event Reporting: Comparative Similarity Association Analysis Using AI Machine Learning Algorithms in Dogs and Cats. Top. Companion Anim. Med. 2019, 37, 100366.
- Alafeef, M.; Srivastava, I.; Pan, D. Machine Learning for Precision Breast Cancer Diagnosis and Prediction of the Nanoparticle Cellular Internalization. ACS Sens. 2020, 5, 1689–1698.
- Shin, H.; Oh, S.; Hong, S.; Kang, M.; Kang, D.; Ji, Y.-G.; Choi, B.H.; Kang, K.-W.; Jeong, H.; Park, Y.; et al. Early-Stage Lung Cancer Diagnosis by Deep Learning-Based Spectroscopic Analysis of Circulating Exosomes. ACS Nano 2020, 14, 5435–5444.
- Lim, S.B.; Tan, S.J.; Lim, W.-T.; Lim, C.T. Compendiums of cancer transcriptomes for machine learning applications. Sci. Data 2019, 6, 1–8.
- Aubreville, M.; Bertram, C.A.; Donovan, T.A.; Marzahl, C.; Maier, A.; Klopfleisch, R. A completely annotated whole slide image dataset of canine breast cancer to aid human breast cancer research. Sci. Data 2020, 7, 1–10.
- Cho, K.; Wang, X.; Nie, S.; Chen, Z.; Shin, D.M. Therapeutic Nanoparticles for Drug Delivery in Cancer. Clin. Cancer Res. 2008, 14, 1310–1316.
- Mansoori, G.A.; Mohazzabi, P.; McCormack, P.; Jabbari, S. Nanotechnology in cancer prevention, detection and treatment: Bright future lies ahead. World Rev. Sci. Technol. Sustain. Dev. 2007, 4, 226.
- Osuka, S.; Van Meir, E.G. Cancer therapy: Neutrophils traffic in cancer nanodrugs. Nat. Nanotechnol. 2017, 12, 616.
- Alexis, F.; Rhee, J.-W.; Richie, J.P.; Radovic-Moreno, A.F.; Langer, R.; Farokhzad, O.C. New frontiers in nanotechnology for cancer treatment. Urol. Oncol. Semin. Orig. Investig. 2008, 26, 74–85.
- Kamaly, N.; Yameen, B.; Wu, J.; Farokhzad, O.C. Degradable Controlled-Release Polymers and Polymeric Nanoparticles: Mechanisms of Controlling Drug Release. Chem. Rev. 2016, 116, 2602–2663.
- Masood, F. Polymeric nanoparticles for targeted drug delivery system for cancer therapy. Mater. Sci. Eng. C 2016, 60, 569–578.
- Amreddy, N.; Babu, A.; Panneerselvam, J.; Srivastava, A.; Muralidharan, R.; Chen, A.; Zhao, Y.D.; Munshi, A.; Ramesh, R. Chemo-biologic combinatorial drug delivery using folate receptor-targeted dendrimer nanoparticles for lung cancer treatment. Nanomed. Nanotechnol. Biol. Med. 2018, 14, 373–384.
- Knecht, M.R.; Wright, D.W. Dendrimer-Mediated Formation of Multicomponent Nanospheres. Chem. Mater. 2004, 16, 4890–4895.
- Rueda, G.; Gerdsri, P.; Kocaoglu, D.F. Bibliometrics and Social Network Analysis of the Nanotechnology Field. In Proceedings of the PICMET 07-2007 Portland International Conference on Management of Engineering & Technology; IEEE: Manhattan, NY, USA, 2007; pp. 2905–2911.
- Clarivate. The Clarivate Analytics Impact Factor. Available online: https://clarivate.com/webofsciencegroup/essays/impact-factor/ (accessed on 1 May 2021).