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Gene transcription analysis is important in cancer research, and reverse transcription‑quantitative polymerase chain reaction (RT‑qPCR) has been demonstrated to be an effective method to evaluate gene transcription in cancer. RT‑qPCR requires an internal reference gene with a consistent level of mRNA transcription across various experimental conditions. However, it has been suggested that different treatments, including anticancer therapy, may influence the transcriptional stability of internal reference genes. Paclitaxel (PTX) and 10‑hydroxycamptothecin (HCPT) are widely used to treat various types of cancer, and a suitable internal reference gene is required in order to analyze the transcription profiles of the cells following treatment. In the current study, the transcriptional stability of 30 candidate reference genes was investigated in cancer cells following treatment with PTX and HCPT. The two ovarian cancer cell lines, UACC‑1598 and SKOV3, were treated with PTX and HCPT for 24 and 48 h, and the transcriptional levels of the candidate reference genes were subsequently evaluated by RT‑qPCR analysis. The transcriptional stability of the selected genes was then analyzed using qbase+ and NormFinder software. A total of 9 genes were demonstrated to exhibit high transcriptional stability and one of these genes, ribosomal protein L13a (RPL13A), was identified to exhibit high transcriptional stability in every group. The current study identified various reference genes suitable under different circumstances, while RPL13A was indicated to be the most suitable reference gene for analyzing the transcription profile of ovarian cancer cells following treatment with PTX and HCPT.
Bian et al. (Wed,) studied this question.