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Identification and Validation of Reference Genes Selection in Ovarian Cancer Exposed to Hypoxia

INTRODUCTION: Hypoxia-mediated tumor metastasis, progression and drug resistance are major clinical challenges in ovarian cancer. Meanwhile, the genetic basis of these traits is still not clear. RT-qPCR, as an efficient and sensitive gene expression technique, has been widely used for gene analyses,...

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Autores principales: Yan, Wenying, Xie, Mei, Li, Rong, Hu, Hongmei, Tang, Biao, Shen, Jie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7395691/
https://www.ncbi.nlm.nih.gov/pubmed/32801765
http://dx.doi.org/10.2147/OTT.S249733
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author Yan, Wenying
Xie, Mei
Li, Rong
Hu, Hongmei
Tang, Biao
Shen, Jie
author_facet Yan, Wenying
Xie, Mei
Li, Rong
Hu, Hongmei
Tang, Biao
Shen, Jie
author_sort Yan, Wenying
collection PubMed
description INTRODUCTION: Hypoxia-mediated tumor metastasis, progression and drug resistance are major clinical challenges in ovarian cancer. Meanwhile, the genetic basis of these traits is still not clear. RT-qPCR, as an efficient and sensitive gene expression technique, has been widely used for gene analyses, providing a basis for in-depth understanding of molecular changes in different microenvironments. However, there is currently a lack of suitable reference genes to normalize the data associated with hypoxia in ovarian cancer cells. METHODS: A systematic method is needed to select the most suitable reference gene. Here, eight candidate reference genes (GAPDH, β-actin, 18S RNA, TUBB, PPIA, TBP, RPL13A and SDHA) from humans were selected to assess their expression levels in SKOV3 cells under hypoxia. The geNorm and NormFinder programs were utilized to evaluate the expression stabilities of these selected candidate reference genes. RESULTS: Interestingly, 18S RNA was considered to be an ideal reference gene for the normalization of target gene expression under hypoxic conditions. Furthermore, this result was confirmed in another two ovarian cancer cell line, CAOV3 and OVCAR3 cell line. Finally, these results suggest that appropriate reference genes should be selected before performing gene expression analysis during hypoxic environmental exposure. CONCLUSION: 18S RNA can be used as an appropriate reference gene for the study of gene expression in ovarian cancer samples under hypoxia by RT-qPCR.
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spelling pubmed-73956912020-08-13 Identification and Validation of Reference Genes Selection in Ovarian Cancer Exposed to Hypoxia Yan, Wenying Xie, Mei Li, Rong Hu, Hongmei Tang, Biao Shen, Jie Onco Targets Ther Original Research INTRODUCTION: Hypoxia-mediated tumor metastasis, progression and drug resistance are major clinical challenges in ovarian cancer. Meanwhile, the genetic basis of these traits is still not clear. RT-qPCR, as an efficient and sensitive gene expression technique, has been widely used for gene analyses, providing a basis for in-depth understanding of molecular changes in different microenvironments. However, there is currently a lack of suitable reference genes to normalize the data associated with hypoxia in ovarian cancer cells. METHODS: A systematic method is needed to select the most suitable reference gene. Here, eight candidate reference genes (GAPDH, β-actin, 18S RNA, TUBB, PPIA, TBP, RPL13A and SDHA) from humans were selected to assess their expression levels in SKOV3 cells under hypoxia. The geNorm and NormFinder programs were utilized to evaluate the expression stabilities of these selected candidate reference genes. RESULTS: Interestingly, 18S RNA was considered to be an ideal reference gene for the normalization of target gene expression under hypoxic conditions. Furthermore, this result was confirmed in another two ovarian cancer cell line, CAOV3 and OVCAR3 cell line. Finally, these results suggest that appropriate reference genes should be selected before performing gene expression analysis during hypoxic environmental exposure. CONCLUSION: 18S RNA can be used as an appropriate reference gene for the study of gene expression in ovarian cancer samples under hypoxia by RT-qPCR. Dove 2020-07-28 /pmc/articles/PMC7395691/ /pubmed/32801765 http://dx.doi.org/10.2147/OTT.S249733 Text en © 2020 Yan et al. http://creativecommons.org/licenses/by-nc/3.0/ This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
Yan, Wenying
Xie, Mei
Li, Rong
Hu, Hongmei
Tang, Biao
Shen, Jie
Identification and Validation of Reference Genes Selection in Ovarian Cancer Exposed to Hypoxia
title Identification and Validation of Reference Genes Selection in Ovarian Cancer Exposed to Hypoxia
title_full Identification and Validation of Reference Genes Selection in Ovarian Cancer Exposed to Hypoxia
title_fullStr Identification and Validation of Reference Genes Selection in Ovarian Cancer Exposed to Hypoxia
title_full_unstemmed Identification and Validation of Reference Genes Selection in Ovarian Cancer Exposed to Hypoxia
title_short Identification and Validation of Reference Genes Selection in Ovarian Cancer Exposed to Hypoxia
title_sort identification and validation of reference genes selection in ovarian cancer exposed to hypoxia
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7395691/
https://www.ncbi.nlm.nih.gov/pubmed/32801765
http://dx.doi.org/10.2147/OTT.S249733
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