Publication Trends in Exosomes Nanoparticles for Cancer Detection

Background Exosomes are small vesicles produced by almost all cells in the body and found in all biofluids. Cancer cell-derived exosomes are known to have distinct, measurable signatures, applicable for early cancer diagnosis. Despite the present bibliometric studies on “Cancer detection” and “Nanoparticles”, no single study exists to deal with “Exosome” bibliometric study. Methods This bibliometric work investigated the publication trends of “Exosomes” nanoparticles and its application in cancer detection, for the literature from 2008 to July 2019. The data were collected from the Web of Science Core Collection. There were variant visual maps generated to show annual publication, most- relevant authors, sources, countries, topics and keywords. The network analysis of these studies was investigated to evaluate the research trends in the field of exosomes. In addition, the data were qualitatively analyzed according to 22 top-cited articles, illustrating the frequently used subjects and methods in exosomes research area. Results The results showed that the documents in this field have improved the citation rate. The top-relevant papers are mostly published in Scientific Reports journal which has lost its popularity after 2017, while today, Analytical Chemistry is leading in publishing the most articles related to exosomes. The documents containing keywords of plasma, cells, cancer, biomarkers, and vesicles as keywords plus, are more likely to be published in PLoS One journal. The clustering of the keywords network showed that the keyword theme of “extracellular vesicles” has the highest centrality rate. In global research, USA is the most corresponding country, followed by China, Korea and Australia. Based on the qualitative analysis, the published documents with at least 50 citations have used exosome release, cargo, detection, purification and secretion, as their targets and applied cell culture or isolation as their methods. Conclusion The bibliometric study on exosomes nanoparticles for cancer detection provides a clear vision of the future research direction and identifies the potential opportunities and challenges. This may lead new researchers to select the proper subfields in exosome-related research fields.

[1]  M. Merchant,et al.  MVP-mediated exosomal sorting of miR-193a promotes colon cancer progression , 2017, Nature Communications.

[2]  M. Michael,et al.  Hypoxic enhancement of exosome release by breast cancer cells , 2012, BMC Cancer.

[3]  Y. Ba,et al.  Exosome-delivered EGFR regulates liver microenvironment to promote gastric cancer liver metastasis , 2017, Nature Communications.

[4]  Y. Liu,et al.  Urinary microRNA-30a-5p is a potential biomarker for ovarian serous adenocarcinoma. , 2015, Oncology reports.

[5]  A. Welm,et al.  Plasma exosome microRNAs are indicative of breast cancer , 2016, Breast Cancer Research.

[6]  B. Chang,et al.  Serum Exosome MicroRNA as a Minimally-Invasive Early Biomarker of AML , 2015, Scientific Reports.

[7]  Yuan Zhang,et al.  Proteomic identification of exosomal LRG1: A potential urinary biomarker for detecting NSCLC , 2011, Electrophoresis.

[8]  A. Nowakowski,et al.  Exosomes in Plasma of Patients with Ovarian Carcinoma: Potential Biomarkers of Tumor Progression and Response to Therapy. , 2013, Gynecology & obstetrics.

[9]  Jin Ding,et al.  Exosome-Transmitted lncARSR Promotes Sunitinib Resistance in Renal Cancer by Acting as a Competing Endogenous RNA. , 2016, Cancer cell.

[10]  R. Welti,et al.  Grape exosome-like nanoparticles induce intestinal stem cells and protect mice from DSS-induced colitis. , 2013, Molecular therapy : the journal of the American Society of Gene Therapy.

[11]  Y. Yoshioka,et al.  Epidermal growth factor receptor localized to exosome membranes as a possible biomarker for lung cancer diagnosis. , 2013, Die Pharmazie.

[12]  Nader Ale Ebrahim,et al.  Publication Trends in Drug Delivery and Magnetic Nanoparticles , 2019, Nanoscale Research Letters.

[13]  V. Govorun,et al.  Proteome–Metabolome Profiling of Ovarian Cancer Ascites Reveals Novel Components Involved in Intercellular Communication* , 2014, Molecular & Cellular Proteomics.

[14]  Tao Wang,et al.  Exosomal miR-1290 and miR-375 as prognostic markers in castration-resistant prostate cancer. , 2015, European urology.

[15]  Anup Kumar Das Introduction to Research Evaluation Metrics and Related Indicators , 2015 .

[16]  A. Fassina,et al.  Programmed cell death 4 and microRNA 21 inverse expression is maintained in cells and exosomes from ovarian serous carcinoma effusions , 2014, Cancer cytopathology.

[17]  CD90+ liver cancer cells modulate endothelial cell phenotype through the release of exosomes containing H19 lncRNA , 2015, Molecular Cancer.

[18]  Miguel Aranda,et al.  An Exploratory Study on Determinants of Regular Group Indoor Cycling Participation in Black and White Adults , 2019, SAGE Open.

[19]  Kwang Ryeol Lee,et al.  Exosome engineering for efficient intracellular delivery of soluble proteins using optically reversible protein–protein interaction module , 2016, Nature Communications.

[20]  Hakho Lee,et al.  Label-free detection and molecular profiling of exosomes with a nano-plasmonic sensor , 2014, Nature Biotechnology.

[21]  Samuel A Wickline,et al.  Maximizing exosome colloidal stability following electroporation. , 2014, Analytical biochemistry.

[22]  So Hee Kang,et al.  Serum exosomal microRNAs as novel biomarkers for hepatocellular carcinoma , 2015, Experimental & Molecular Medicine.

[23]  Wei Liu,et al.  Bottom-up precise synthesis of stable platinum dimers on graphene , 2017, Nature Communications.

[24]  Zhibin Li,et al.  Protein Profiling and Sizing of Extracellular Vesicles from Colorectal Cancer Patients via Flow Cytometry. , 2018, ACS nano.

[25]  Nader Ale Ebrahim,et al.  A Crisis in “Open Access”: Should Communication Scholarly Outputs Take 77 Years to Become Open Access? , 2019, SAGE Open.

[26]  Sufang Yu,et al.  The neurotoxicity of nanoparticles: A bibliometric analysis , 2018, Toxicology and industrial health.

[27]  Johan A. Wallin,et al.  The bibliometric analysis of scholarly production: How great is the impact? , 2015, Scientometrics.

[28]  Yanning Liu,et al.  Exosomes derived from miR-122-modified adipose tissue-derived MSCs increase chemosensitivity of hepatocellular carcinoma , 2015, Journal of Hematology & Oncology.

[29]  Olivier Elemento,et al.  Double-stranded DNA in exosomes: a novel biomarker in cancer detection , 2014, Cell Research.

[30]  Nader Ale Ebrahim,et al.  A bibliometric analysis of m-learning from topic inception to 2015 , 2019, Int. J. Mob. Learn. Organisation.

[31]  Hong Jiang,et al.  Interspecies communication between plant and mouse gut host cells through edible plant derived exosome-like nanoparticles. , 2014, Molecular nutrition & food research.

[32]  M. Provencio,et al.  Different exosome cargo from plasma/bronchoalveolar lavage in non‐small‐cell lung cancer , 2014, Genes, chromosomes & cancer.

[33]  Elaine C. Campbell,et al.  Nanoparticle tracking analysis monitors microvesicle and exosome secretion from immune cells , 2012, Immunology.

[34]  Heikki Saari,et al.  Microvesicle- and exosome-mediated drug delivery enhances the cytotoxicity of Paclitaxel in autologous prostate cancer cells. , 2015, Journal of controlled release : official journal of the Controlled Release Society.

[35]  Yan Sun,et al.  Comparative Proteomic Analysis of Exosomes and Microvesicles in Human Saliva for Lung Cancer. , 2018, Journal of proteome research.

[36]  Adèle Paul-Hus,et al.  The journal coverage of Web of Science and Scopus: a comparative analysis , 2015, Scientometrics.

[37]  Masood Fooladi,et al.  A Comparison between Two Main Academic Literature Collections: Web of Science and Scopus Databases , 2013, ArXiv.

[38]  D. Terrian,et al.  Senescence-associated exosome release from human prostate cancer cells. , 2008, Cancer research.

[39]  X. Breakefield,et al.  Prostate cancer-derived urine exosomes: a novel approach to biomarkers for prostate cancer , 2009, British Journal of Cancer.

[40]  J. Connor,et al.  Interleukin-13 conjugated quantum dots for identification of glioma initiating cells and their extracellular vesicles. , 2017, Acta biomaterialia.

[41]  M. Büchler,et al.  Combined evaluation of a panel of protein and miRNA serum‐exosome biomarkers for pancreatic cancer diagnosis increases sensitivity and specificity , 2015, International journal of cancer.

[42]  Yun Wu,et al.  Recent Advances in Exosomal Protein Detection Via Liquid Biopsy Biosensors for Cancer Screening, Diagnosis, and Prognosis , 2018, The AAPS Journal.

[43]  Hongyang Wang,et al.  Tumor-derived exosomal miR-1247-3p induces cancer-associated fibroblast activation to foster lung metastasis of liver cancer , 2018, Nature Communications.

[44]  Massimo Aria,et al.  bibliometrix: An R-tool for comprehensive science mapping analysis , 2017, J. Informetrics.

[45]  Christian Pilarsky,et al.  Glypican-1 identifies cancer exosomes and detects early pancreatic cancer , 2015, Nature.

[46]  Cicek Gercel-Taylor,et al.  MicroRNA signatures of tumor-derived exosomes as diagnostic biomarkers of ovarian cancer. , 2008, Gynecologic oncology.

[47]  S. Lorenz,et al.  Identification of non-invasive miRNAs biomarkers for prostate cancer by deep sequencing analysis of urinary exosomes , 2017, Molecular Cancer.

[48]  K. Mimori,et al.  Identification of a bona fide microRNA biomarker in serum exosomes that predicts hepatocellular carcinoma recurrence after liver transplantation , 2015, British Journal of Cancer.

[49]  E. Bandrés,et al.  miRNA cargo within exosome‐like vesicle transfer influences metastatic bone colonization , 2014, Molecular oncology.

[50]  Y. Zhang,et al.  Exosomal long noncoding RNA HOTTIP as potential novel diagnostic and prognostic biomarker test for gastric cancer , 2018, Molecular Cancer.

[51]  S. Hanash,et al.  High prevalence of mutant KRAS in circulating exosome-derived DNA from early-stage pancreatic cancer patients , 2017, Annals of oncology : official journal of the European Society for Medical Oncology.

[52]  Xianyin Lai,et al.  A microRNA signature in circulating exosomes is superior to exosomal glypican-1 levels for diagnosing pancreatic cancer , 2017, Cancer letters.

[53]  M. Korc,et al.  Label-Free Nanoplasmonic-Based Short Noncoding RNA Sensing at Attomolar Concentrations Allows for Quantitative and Highly Specific Assay of MicroRNA-10b in Biological Fluids and Circulating Exosomes , 2015, ACS nano.

[54]  Mike Thelwall,et al.  Google Scholar, Web of Science, and Scopus: a systematic comparison of citations in 252 subject categories , 2018, J. Informetrics.

[55]  Mutsa P. Seremwe,et al.  A Comparative Study of Serum Exosome Isolation Using Differential Ultracentrifugation and Three Commercial Reagents , 2017, PloS one.

[56]  Thed N. van Leeuwen,et al.  Bibliometric analysis of output and impact based on CRIS data: a case study on the registered output of a Dutch university , 2015, Scientometrics.

[57]  Wolfgang Glänzel,et al.  Foreword to the “Case Studies in Scientometrics” special issues , 2015, Scientometrics.

[58]  B. Kramer,et al.  Overdiagnosis in low-dose computed tomography screening for lung cancer. , 2014, JAMA internal medicine.

[59]  J. Li,et al.  Exosomal Transfer of Vasorin Expressed in Hepatocellular Carcinoma Cells Promotes Migration of Human Umbilical Vein Endothelial Cells , 2015, International journal of biological sciences.

[60]  Nader Ale Ebrahim,et al.  A bibliometric approach to tracking big data research trends , 2017, Journal of Big Data.

[61]  Hamid Cheshmi Glioblastoma microvesicles transport RNA and proteins that promote tumour growth and provide diagnostic biomarkers , 2011 .

[62]  Xifeng Dong,et al.  Bibliometric analysis of nanotechnology applied in oncology from 2002 to 2011 , 2013, Tumor Biology.

[63]  Gema Moreno-Bueno,et al.  Melanoma exosomes educate bone marrow progenitor cells toward a pro-metastatic phenotype through MET , 2012, Nature Medicine.

[64]  John T. Wei,et al.  A Novel Urine Exosome Gene Expression Assay to Predict High-grade Prostate Cancer at Initial Biopsy. , 2016, JAMA oncology.

[65]  B. Vanhaesebroeck,et al.  PI3Kα-regulated gelsolin activity is a critical determinant of cardiac cytoskeletal remodeling and heart disease , 2018, Nature Communications.

[66]  Jian Du,et al.  Natural products against cancer: a comprehensive bibliometric study of the research projects, publications, patents and drugs. , 2014, Journal of cancer research and therapeutics.

[67]  A. Bhardwaj,et al.  In situ click chemistry generation of cyclooxygenase-2 inhibitors , 2017, Nature Communications.

[68]  Myung Soo Kim,et al.  Development of exosome-encapsulated paclitaxel to overcome MDR in cancer cells. , 2016, Nanomedicine : nanotechnology, biology, and medicine.

[69]  Theodora Katsila,et al.  Exosomes: A Cancer Theranostics Road Map , 2017, Public Health Genomics.

[70]  Massimo Aria,et al.  Foundations and trends in performance management. A twenty-five years bibliometric analysis in business and public administration domains , 2016, Scientometrics.

[71]  Nader Ale Ebrahim,et al.  A bibliometric analysis of m-learning from topic inception to 2015 , 2019, Int. J. Mob. Learn. Organisation.

[72]  Jiang-xia Zhao,et al.  Circular RNA is enriched and stable in exosomes: a promising biomarker for cancer diagnosis , 2015, Cell Research.

[73]  Elaine Lasda Bergman,et al.  Finding Citations to Social Work Literature: The Relative Benefits of Using Web of Science, Scopus, or Google Scholar , 2012 .

[74]  F. Hamdy,et al.  Changes in circulating microRNA levels associated with prostate cancer , 2012, British Journal of Cancer.