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Journal of Cancer
Article . 2018 . Peer-reviewed
Data sources: Crossref
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Journal of Cancer
Article
License: CC BY NC
Data sources: UnpayWall
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PubMed Central
Other literature type . 2018
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Inhaled Immunotherapy Administration for Lung Cancer; Efficient? Certainly Possible

Authors: Sapalidis, Konstantinos; Zarogoulidis, Paul; Huang, Haidong; Bai, Chong; Wen, Yuting; Wang, Li; Boniou, Konstantina; +16 Authors

Inhaled Immunotherapy Administration for Lung Cancer; Efficient? Certainly Possible

Abstract

Lung cancer is still diagnosed at a late stage in most lung cancer patients. Regarding Non-small Cell lung cancer there are novel therapies such as; tyrosine kinase inhibitors and immunotherapy. Currently we have two immunotherapies that can be used either as first-line treatment or second line treatment; pembrolizumab and nivolumab. A third one is being investigated as a combination of immunotherapy; ipilimumab. Aerosol treatment has been investigated for many diseases not only for the lung, but also for systematic diseases. The design of cups was found the most significant factor in producing significant effects. The comparison of cups reveals the design J as the most capable of reducing the droplets at a minimum size of mass median aerodynamic diameter (MMAD) MMAD=1.99. Drug effect comes second in sequence (F=62.04) showing that nivolumab is the most drastic preparation at low particle sizes (1.89), two drugs share an intermediate particle diameter (pembrolizumab and ipilimumab). In total drugs demonstrate a decreasing droplet size: Ipilimumab>Pembrolizumab> Nivolumab.

Keywords

Research Paper

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    7
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
7
Average
Average
Top 10%
Green
gold
Related to Research communities
Cancer Research