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Liposomes versus metallic nanostructures: differences in the process of knowledge translation in cancer.

Fajardo-Ortiz D, Duran L, Moreno L, Ochoa H, Castaño VM - Int J Nanomedicine (2014)

Bottom Line: In the case of liposomes, our results identify subnetworks (invisible colleges) associated with different therapeutic strategies: nanopharmacology, hyperthermia, and gene therapy.In the case of MNs, subnetworks are not differentiated by the type of therapeutic strategy, and the content of the documents is still basic research.Research on MNs is highly focused on developing a combination of molecular imaging and photothermal therapy.

View Article: PubMed Central - PubMed

Affiliation: Faculty of Medicine of the National Autonomous University of Mexico, Mexico City, Mexico.

ABSTRACT
This research maps the knowledge translation process for two different types of nanotechnologies applied to cancer: liposomes and metallic nanostructures (MNs). We performed a structural analysis of citation networks and text mining supported in controlled vocabularies. In the case of liposomes, our results identify subnetworks (invisible colleges) associated with different therapeutic strategies: nanopharmacology, hyperthermia, and gene therapy. Only in the pharmacological strategy was an organized knowledge translation process identified, which, however, is monopolized by the liposomal doxorubicins. In the case of MNs, subnetworks are not differentiated by the type of therapeutic strategy, and the content of the documents is still basic research. Research on MNs is highly focused on developing a combination of molecular imaging and photothermal therapy.

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Related in: MedlinePlus

Network model of research papers on cancer and metallic nanostructures.Notes: Each node represents one paper of the 20% most cited papers on liposome research applied to cancer, and the edges represent the citations between the documents (nodes). The shape of the nodes indicates to which subnetwork they belong. The color of the nodes is according to a continuous scale from red to blue. This scale is a function of the clinical terms rate, so a red node could be considered a basic research paper, a purple one clinical research, and a blue node is a clinical observation article. Subnet 1 is related to nanotubes, subnet 2 is related to lasers and subnet 6 is related to phototherapy; the other networks (3–5) are not displayed because they are generals.
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f2-ijn-9-2627: Network model of research papers on cancer and metallic nanostructures.Notes: Each node represents one paper of the 20% most cited papers on liposome research applied to cancer, and the edges represent the citations between the documents (nodes). The shape of the nodes indicates to which subnetwork they belong. The color of the nodes is according to a continuous scale from red to blue. This scale is a function of the clinical terms rate, so a red node could be considered a basic research paper, a purple one clinical research, and a blue node is a clinical observation article. Subnet 1 is related to nanotubes, subnet 2 is related to lasers and subnet 6 is related to phototherapy; the other networks (3–5) are not displayed because they are generals.

Mentions: Eighty-four of the selected nodes form a single network of citations. By analyzing the network model using the Clust & See software, six subnets were identified (Figure 2). However, the distribution of GO and MeSH terms for each subnet shows no differences between subnets in terms of clinical or biomedical content, although differences in the combination of technology do exist. Subnet 1 is characterized by the combined use of metal nanoparticles with carbon nanotubes, while, in subnet 2, the research is characterized by combining laser and nanoparticles. Finally, subnet 6 relates to phototherapy. Subnets 3, 4, and 5 are associated with terms that are common to all documents in the network model. Generally, the items that make up the network model are basic research, with some scattered clinical research articles in subnets 1 and 2 (Figure 2).


Liposomes versus metallic nanostructures: differences in the process of knowledge translation in cancer.

Fajardo-Ortiz D, Duran L, Moreno L, Ochoa H, Castaño VM - Int J Nanomedicine (2014)

Network model of research papers on cancer and metallic nanostructures.Notes: Each node represents one paper of the 20% most cited papers on liposome research applied to cancer, and the edges represent the citations between the documents (nodes). The shape of the nodes indicates to which subnetwork they belong. The color of the nodes is according to a continuous scale from red to blue. This scale is a function of the clinical terms rate, so a red node could be considered a basic research paper, a purple one clinical research, and a blue node is a clinical observation article. Subnet 1 is related to nanotubes, subnet 2 is related to lasers and subnet 6 is related to phototherapy; the other networks (3–5) are not displayed because they are generals.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4043705&req=5

f2-ijn-9-2627: Network model of research papers on cancer and metallic nanostructures.Notes: Each node represents one paper of the 20% most cited papers on liposome research applied to cancer, and the edges represent the citations between the documents (nodes). The shape of the nodes indicates to which subnetwork they belong. The color of the nodes is according to a continuous scale from red to blue. This scale is a function of the clinical terms rate, so a red node could be considered a basic research paper, a purple one clinical research, and a blue node is a clinical observation article. Subnet 1 is related to nanotubes, subnet 2 is related to lasers and subnet 6 is related to phototherapy; the other networks (3–5) are not displayed because they are generals.
Mentions: Eighty-four of the selected nodes form a single network of citations. By analyzing the network model using the Clust & See software, six subnets were identified (Figure 2). However, the distribution of GO and MeSH terms for each subnet shows no differences between subnets in terms of clinical or biomedical content, although differences in the combination of technology do exist. Subnet 1 is characterized by the combined use of metal nanoparticles with carbon nanotubes, while, in subnet 2, the research is characterized by combining laser and nanoparticles. Finally, subnet 6 relates to phototherapy. Subnets 3, 4, and 5 are associated with terms that are common to all documents in the network model. Generally, the items that make up the network model are basic research, with some scattered clinical research articles in subnets 1 and 2 (Figure 2).

Bottom Line: In the case of liposomes, our results identify subnetworks (invisible colleges) associated with different therapeutic strategies: nanopharmacology, hyperthermia, and gene therapy.In the case of MNs, subnetworks are not differentiated by the type of therapeutic strategy, and the content of the documents is still basic research.Research on MNs is highly focused on developing a combination of molecular imaging and photothermal therapy.

View Article: PubMed Central - PubMed

Affiliation: Faculty of Medicine of the National Autonomous University of Mexico, Mexico City, Mexico.

ABSTRACT
This research maps the knowledge translation process for two different types of nanotechnologies applied to cancer: liposomes and metallic nanostructures (MNs). We performed a structural analysis of citation networks and text mining supported in controlled vocabularies. In the case of liposomes, our results identify subnetworks (invisible colleges) associated with different therapeutic strategies: nanopharmacology, hyperthermia, and gene therapy. Only in the pharmacological strategy was an organized knowledge translation process identified, which, however, is monopolized by the liposomal doxorubicins. In the case of MNs, subnetworks are not differentiated by the type of therapeutic strategy, and the content of the documents is still basic research. Research on MNs is highly focused on developing a combination of molecular imaging and photothermal therapy.

Show MeSH
Related in: MedlinePlus