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Journal of Applied Health Sciences
Article . 2018 . Peer-reviewed
Data sources: Crossref
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Onkolitički virusi

Oncolytic Viruses
Authors: Poljak, Ines; Korać, Petra;

Onkolitički virusi

Abstract

Malignant tumors are the most common cause of mortality in humans. Accumulation of mutation in cells causes uncontrolled cell division as well as prevention of their programmed cell death, leading to neoplastic changes. Tumor mass which avoids the immune response of the host, grows and spreads. Modern approach to malignant tumor therapy, which is still in the research stage, is based on the use of genetically modified bacteria and/or viruses. They are used for promotion of the chemotactic effect or production of the receptors that will be recognized by the immune system of the host and in this way stimulate the effector part of the body’s defense system to destroy the tumor mass. This paper summarizes the most recent methods in the field. Keywords:

Maligni tumori danas su najčešći uzročnici smrtnosti u ljudi. Nakupljanje mutacija u stanicama uzrokuje nekontroliranu diobu stanica, kao i sprječavanje njihove programirane smrti, što dovodi do neoplastičnih promjena. Nakuplja se tumorska masa koja izbjegava imunosni odgovor domaćina. Moderan pristup terapiji malignih tumora, koji je još uvijek u istraživačkoj fazi, temelji se na primjeni bakterija i/ili virusa koji su genetički modificirani. Njima se potiče kemotaksijski učinak ili nastanak receptora koje će prepoznati imunosni sustav domaćina kako bi se potaknulo efektorski dio obrambenog sustava organizma na uništavanje tumorske mase. U ovom radu dan je sažet prikaz najnovijih metoda navedenog područja.

Country
Croatia
Keywords

maligni tumori, genetic engineering, genetičko inženjerstvo, oncolytic viruses, malignant tumor, onkolitički virusi

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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!
0
Average
Average
Average
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