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

Authors Yan W, Xie M, Li R, Hu H, Tang B, Shen J

Received 14 February 2020

Accepted for publication 26 June 2020

Published 28 July 2020 Volume 2020:13 Pages 7423—7431

DOI https://doi.org/10.2147/OTT.S249733

Checked for plagiarism Yes

Review by Single-blind

Peer reviewer comments 3

Editor who approved publication: Prof. Dr. Takuya Aoki


Wenying Yan,1 Mei Xie,2 Rong Li,3 Hongmei Hu,3 Biao Tang,3 Jie Shen4

1Department of Gynecology, Wangjiang Hospital, Sichuan University, Chengdu, Sichuan Province, People’s Republic of China; 2Department of Respiratory and Critical Care Medicine, Chengdu Second People’s Hospital, Chengdu, Sichuan Province, People’s Republic of China; 3Department of Gynecology, Sichuan Maternal and Child Health Hospital, Chengdu, Sichuan Province, People’s Republic of China; 4Department of Orthopaedics, The First Hospital Affiliated to AMU (Southwest Hospital), Chongqing, People’s Republic of China

Correspondence: Jie Shen
Department of Orthopaedics, The First Hospital Affiliated to AMU (Southwest Hospital), 30 Gaotan Yanzheng Street, Shapingba District, Chongqing 400038, People’s Republic of China
Email drshenjie@126.com

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.

Keywords: reference genes, ovarian cancer, hypoxia, EMT

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