Assessment of cytokine expression profile in acute myeloid leukemia patients before and after chemotherapy

One of the major goals of cancer treatment is the monitoring of chemotherapeutic protocols. Quantitative and comparative cytokine expression profiling could be reliable to be used for biomarkers in deadly and fast-growing cancers such as acute myeloid leukemia (AML). The present study aims to assess...

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Veröffentlicht in:Turkish journal of haematology 2014-06, Vol.31 (2), p.149-154
Hauptverfasser: Sepehrizadeh, Zargham, Mohammadi, Mohammad, Emami, Amirhossein, Yazdi, Mojtaba Tabatabaei, Bozchlou, Saeed Hashemi, Khorramizadeh, Mohammad Reza, Shapourabadi, Mina Bahrololoumi, Jaberi, Elham, Rajaei, Naghmeh, Setayesh, Neda
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Sprache:eng
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Zusammenfassung:One of the major goals of cancer treatment is the monitoring of chemotherapeutic protocols. Quantitative and comparative cytokine expression profiling could be reliable to be used for biomarkers in deadly and fast-growing cancers such as acute myeloid leukemia (AML). The present study aims to assess and further validate cytokines with probable effects on proliferation and maturation of blood cells in AML. Gene expression levels of IL-1β, IL-10, IL-8, TNF-α, and IFN-γ were analyzed before and after chemotherapy and after granulocyte colony-stimulating factor (G-CSF) therapy in 46 AML patients by an in-house quantitative comparative RT-PCR method. Our findings indicated that although the gene expression level of TNF-α was almost constant in all 3 samples, IL-1β, IL-8, and IL-10 expression levels showed a decrease after chemotherapy and an increase after G-CSF therapy. On the other hand, the expression level of IFN-γ had a different pattern with an increase after chemotherapy and a decrease after G-CSF therapy. Taken together, the results of this study are in support of the idea that the analyzed cytokines could be useful biomarkers for AML treatment monitoring. However, further molecular epidemiological investigations are suggested to elaborate more cancer monitoring biomarkers.
ISSN:1300-7777
1308-5263
DOI:10.4274/tjh.2012.0164