2022 World Conference on Lung Cancer (ePosters)-EP16.04-027. Identification of Optimal Internal Reference Gene to Analyze the Anticancer Effects of Statins in Lung Cancer Cells

EP16.04-027. Identification of Optimal Internal Reference Gene to Analyze the Anticancer Effects of Statins in Lung Cancer Cells

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A recent study aimed to identify the optimal internal reference gene for analyzing the anticancer effects of statins in lung cancer cells. Statins have been found to have anticancer properties and can be used as anticancer agents, but their effects on internal reference genes used in gene expression analysis are not well understood. The study evaluated the expression stability of 15 internal reference genes in lung cancer cells treated with atorvastatin. The cells used in the study were HOP-92, which are mesenchymal-like and sensitive to statins, and NCI-H322M, which are epithelial-like and resistant to statins. The cells were treated with different concentrations of atorvastatin and then gene expression was analyzed using reverse transcription quantitative polymerase chain reaction (RT-qPCR). The study used several algorithms to evaluate the stability of the internal reference genes. The results showed that statin-sensitive cancer cells exhibited morphological changes after statin treatment, while statin-resistant cells showed only slight alterations. The analysis of gene expression data revealed variation in the expression of internal reference genes in statin-treated cancer cells, depending on the concentrations of statins. The comprehensive ranking by the algorithms consistently identified RPLP2 as the most stable internal reference gene, while ACTB was the most unstable. This finding suggests that RPLP2 should be used as the internal reference gene in gene expression analysis of lung cancer cells treated with statins. The study concludes that the selection of internal reference genes is crucial to avoid misinterpretation of gene expression data, and the stability ranking provided by the study can guide future research on the use of statins in cancer treatment.

Asset Subtitle

Tomoko Warita

Meta Tag

Speaker Tomoko Warita

Topic Tumour Biology and Biomarkers - Tumour Biology & Preclinical Studies

Keywords

study

internal reference gene

anticancer effects

statins

lung cancer cells

gene expression analysis

atorvastatin

RT-qPCR

morphological changes

gene expression data