Effect of metformin and 5-fluorouracil on nucleolin expression and microRNAs in hepatic cancer cell lines.

Background: Azolopyrimidines are imposed on the arena of drugs treated for cancer. The urgent need to discover new selective anticancer agents, paved the way to explore the antitumor significance of such fused systems. From synthetic point of view, Microwave- facilitated technique for synthesis is very strongly associated with green method in chemistry field. Aim: Our aim is to synthesis of bioactive compounds and using docking simulation run by MOE program to explore the binding mode of the most active enzyme inhibitor among the target compounds. Method: In addition to the use of conventional heating, the MARS system of CEM utilized for Microwave irradiation that is equipped with a multi-mode platform with a magnetic stirring plate and a rotor that allows the parallel processing of many vessels per batch. All the synthesized compounds were tested for their anticancer activity against hepatic cancer (HePG-2), breast cancer (MCF-7) and colon cancer (HCT-116). Screening against the cancer cell lines was performed, using doxorubicin as a reference drug. Docking studies were conducted using MOE software. Result: A novel series of fluorinated fused-pyrimidine namely, pyrazolopyrimidine, triazolopyrimidine and pyrimidobenzimidazole were designed and synthesized conventionally and under microwave irradiations The mechanistic pathways as well as the structure of all products were debated and demonstrated based on all possible spectral data. In-vitro examination of the novel prepared derivatives versus the three different human cancer cell lines [hepatic cancer (HePG-2), breast cancer (MCF-7) and colon cancer (HCT-116)] was evaluated to estimate their actual activity. Conclusion: We have developed a simple, facile, and efficient procedure for the formation of new series of azolopyrimidines. All spectra of all products were investigated deliberately to confirm their structures. The anti-cancer activity has been examined against three cancer cell lines e.g. HepG-2, MCF-7 and HCT116. Molecular modeling study was carried out in order to rationalize the in vitro anti-tumor results.

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Effects of 5-Azacytidine and Butyrate on Differentiation and Apoptosis of Hepatic Cancer Cell Lines

Annals of Surgery ◽

10.1097/00000658-199806000-00016 ◽

1998 ◽

Vol 227 (6) ◽

pp. 922-931 ◽

Cited By ~ 27

Author(s):

Xiao-Min Wang ◽

Xiaofu Wang ◽

Jing Li ◽

B. Mark Evers

Keyword(s):

Cell Lines ◽

Cancer Cell ◽

Cancer Cell Lines ◽

Hepatic Cancer

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Uncovering the stability status of the reputed reference genes in breast and hepatic cancer cell lines

PLoS ONE ◽

10.1371/journal.pone.0259669 ◽

2021 ◽

Vol 16 (11) ◽

pp. e0259669

Author(s):

Gilar Gorji-Bahri ◽

Niloofar Moradtabrizi ◽

Atieh Hashemi

Keyword(s):

Breast Cancer ◽

Cell Lines ◽

Cancer Cell ◽

Breast Cancer Cell ◽

Reference Genes ◽

Cancer Cell Lines ◽

Breast Cancer Cell Lines ◽

Hepatic Cancer ◽

Expression Stability ◽

Stability Ranking

Accurate and reliable relative gene expression analysis via the Reverse Transcription-quantitative Real Time PCR (RT-qPCR) method strongly depends on employing several stable reference genes as normalizers. Utilization of the reference genes without analyzing their expression stability under each experimental condition causes RT-qPCR analysis error as well as false output. Similar to cancerous tissues, cancer cell lines also exhibit various gene expression profiles. It is crucial to recognize stable reference genes for well-known cancer cell lines to minimize RT-qPCR analysis error. In this study, we showed the expression level and investigated the expression stability of eight common reference genes that are ACTB, YWHAZ, HPRT1, RNA18S, TBP, GAPDH, UBC, and B2M, in two sets of cancerous cell lines. One set contains MCF7, SKBR3, and MDA-MB231 as breast cancer cell lines. Another set includes three hepatic cancer cell lines, including Huh7, HepG2, and PLC-PRF5. Three excel-based softwares comprising geNorm, BestKeeper, and NormFinder, and an online tool, namely RefFinder were used for stability analysis. Although all four algorithms did not show the same stability ranking of nominee genes, the overall results showed B2M and ACTB as the least stable reference genes for the studied breast cancer cell lines. While TBP had the lowest expression stability in the three hepatic cancer cell lines. Moreover, YWHAZ, UBC, and GAPDH showed the highest stability in breast cancer cell lines. Besides that, a panel of five nominees, including ACTB, HPRT1, UBC, YWHAZ, and B2M showed higher stability than others in hepatic cancer cell lines. We believe that our results would help researchers to find and to select the best combination of the reference genes for their own experiments involving the studied breast and hepatic cancer cell lines. To further analyze the reference genes stability for each experimental condition, we suggest researchers to consider the provided stability ranking emphasizing the unstable reference genes.

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