Subscribe to RSS
DOI: 10.1055/s-0044-1786042
A Bibliometric Analysis of the Gene Delivery Systems for Lung Cancer from 2010 to 2022
Funding This work was supported by the Natural Science Foundation of Chongqing (Grant No. 2023 NSCQ-MSX0440) and the Science and Technology Research Program of Chongqing Municipal Education Commission (Grant No. KJQN202000 407).Abstract
The gene delivery systems (GDS) for lung cancer (LC) has made significant progress over the past 12 years, yet, there is a great challenge in its clinical application due to low delivery efficiency. This study aims to explore research fields related to gene therapy for LC and predict future directions from a bibliometric perspective. The Web of Science Core Collection collects articles and reviews on GDS for LC published from 2010 to 2022. Comprehensive bibliometric and visual analyses were performed using CiteSpace, VOSviewer, R-Bibliometrix, and Microsoft Excel. The analysis showed that the number of publications on GDS for LC has been increasing over the past 12 years, highlighting the growing interest and research efforts in this area. A rigorous examination of keywords and research hotspots revealed that the themes such as “complex,” “transfection,” “RNA interference,” “extracellular vesicle,” “co-deliver,” “resistance,” etc. dominate the field of GDS for LC. These findings indicated that the research in GDS for LC is evolving, with a noticeable shift toward addressing challenges related to delivery efficiency, transfection methods, and overcoming resistance mechanisms in gene therapy. The comprehensive study provides an overview of the literature on GDS for LC and identifies areas that require further exploration and development. By highlighting emerging research hotspots, our bibliometric analysis offers valuable insights to scholars and researchers, aiding in the identification of gaps, and guiding future efforts toward the development of GDS with more efficiency for LC therapy.
Data Availability Statement
The original contributions presented in the study were included in the article, and further inquiries can be directed to the corresponding author.
Publication History
Received: 08 August 2023
Accepted: 22 March 2024
Article published online:
31 May 2024
© 2024. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution License, permitting unrestricted use, distribution, and reproduction so long as the original work is properly cited. (https://creativecommons.org/licenses/by/4.0/)
Georg Thieme Verlag KG
Rüdigerstraße 14, 70469 Stuttgart, Germany
-
References
- 1 Siegel RL, Miller KD, Jemal A. Cancer statistics, 2019. CA Cancer J Clin 2019; 69 (01) 7-34
- 2 Siegel RL, Miller KD, Jemal A. Cancer Statistics, 2017. CA Cancer J Clin 2017; 67 (01) 7-30
- 3 Xiao BF, Zhang JT, Zhu YG. et al. Chimeric antigen receptor T-cell therapy in lung cancer: potential and challenges. Front Immunol 2021; 12: 782775
- 4 Keats T, Rosengren RJ, Ashton JC. The rationale for repurposing sildenafil for lung cancer treatment. Anticancer Agents Med Chem 2018; 18 (03) 367-374
- 5 Wang M, Herbst RS, Boshoff C. Toward personalized treatment approaches for non-small-cell lung cancer. Nat Med 2021; 27 (08) 1345-1356
- 6 Zhong D, Li Y, Huang Y, Hong X, Li J, Jin R. Molecular mechanisms of exercise on cancer: a bibliometrics study and visualization analysis via CiteSpace. Front Mol Biosci 2022; 8: 797902
- 7 Huang Y, Zhan Q, Wu C. et al. Trends and hotspots in nanoparticles for the targeted delivery of nucleic acids: a ten-year bibliometric study. Front Pharmacol 2022; 13: 868398
- 8 Qin Y, Zhang Q, Liu Y. Analysis of knowledge bases and research focuses of cerebral ischemia-reperfusion from the perspective of mapping knowledge domain. Brain Res Bull 2020; 156: 15-24
- 9 Cheng K, Guo Q, Yang W, Wang Y, Sun Z, Wu H. Mapping knowledge landscapes and emerging trends of the links between bone metabolism and diabetes mellitus: a bibliometric analysis from 2000 to 2021. Front Public Health 2022; 10: 918483
- 10 Huang W, Sun G, Wang Q, Long Z. The research progress of targeted therapy in acute myeloid leukemia based on bibliometric analysis. Front Oncol 2022; 12: 957370
- 11 Yin H, Kanasty RL, Eltoukhy AA, Vegas AJ, Dorkin JR, Anderson DG. Non-viral vectors for gene-based therapy. Nat Rev Genet 2014; 15 (08) 541-555
- 12 Whitehead KA, Langer R, Anderson DG. Knocking down barriers: advances in siRNA delivery. Nat Rev Drug Discov 2009; 8 (02) 129-138
- 13 Davis ME, Zuckerman JE, Choi CH. et al. Evidence of RNAi in humans from systemically administered siRNA via targeted nanoparticles. Nature 2010; 464 (7291) 1067-1070
- 14 Tang J, Cai L, Xu C. et al. Nanotechnologies in delivery of DNA and mRNA vaccines to the nasal and pulmonary mucosa. Nanomaterials (Basel) 2022; 12 (02) 226
- 15 Tie Y, Zheng H, He Z. et al. Targeting folate receptor β positive tumor-associated macrophages in lung cancer with a folate-modified liposomal complex. Signal Transduct Target Ther 2020; 5 (01) 6
- 16 Kuai R, Ochyl LJ, Bahjat KS, Schwendeman A, Moon JJ. Designer vaccine nanodiscs for personalized cancer immunotherapy. Nat Mater 2017; 16 (04) 489-496
- 17 EL Andaloussi S, Mäger I, Breakefield XO, Wood MJ. Extracellular vesicles: biology and emerging therapeutic opportunities. Nat Rev Drug Discov 2013; 12 (05) 347-357
- 18 Wang T, Fu Y, Sun S. et al. Exosome-based drug delivery systems in cancer therapy. Chin Chem Lett 2023; 34 (02) 8