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Cervical cancer stem‐like cells: systematic review and identification of reference genes for gene expression
Author(s) -
de Campos Rafael P.,
Schultz Iago C.,
de Andrade Mello Paola,
Davies Samuel,
Gasparin Manuela S.,
Bertoni Ana P. S.,
Buffon Andréia,
Wink Márcia R.
Publication year - 2018
Publication title -
cell biology international
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.932
H-Index - 77
eISSN - 1095-8355
pISSN - 1065-6995
DOI - 10.1002/cbin.10878
Subject(s) - reference genes , hela , biology , glyceraldehyde 3 phosphate dehydrogenase , gene , cervical cancer , stem cell , cancer , cancer stem cell , gene expression , cancer cell , cancer research , cell culture , microbiology and biotechnology , genetics
Abstract Cervical cancer is the fourth most common cancer affecting women worldwide. Among many factors, the presence of cancer stem cells, a subpopulation of cells inside the tumor, has been associated with a worse prognosis. Considering the importance of gene expression studies to understand the biology of cervical cancer stem cells (CCSC), this work identifies stable reference genes for cervical cancer cell lines SiHa, HeLa, and ME180 as well as their respective cancer stem‐like cells. A literature review was performed to identify validated reference genes currently used to normalize RT‐qPCR data in cervical cancer cell lines. Then, cell lines were cultured in regular monolayer or in a condition that favors tumor sphere formation. RT‐qPCR was performed using five reference genes: ACTB, B2M, GAPDH, HPRT1, and TBP. Stability was assessed to validate the selected genes as suitable reference genes. The evaluation validated B2M, GAPDH, HPRT1, and TBP in these experimental conditions. Among them, GAPDH and TBP presented the lowest variability according to the analysis by Normfinder, Bestkeeper, and ΔC q methods, being therefore the most adequate genes to normalize the combination of all samples. These results suggest that B2M, GAPDH, HPRT1, and TBP are suitable reference genes to normalize RT‐qPCR data of established cervical cancer cell lines SiHa, HeLa, and ME180 as well as their derived cancer stem‐like cells. Indeed, GAPDH and TBP seem to be the most convenient choices for studying gene expression in these cells in monolayers or spheres.