Abstract
Background: The aim of the study was to evaluate the variances in the expression pattern of
mRNAs and miRNAs related to the EMT in the Ishikawa (histological grade 1; G1), EC-1A (histological
grade 2; G2), and KLE (histological grade 3; G3) cell cultures under cisplatin treatment.
Methods: Endometrial cancer cell lines were exposed to 75.22 mg (an average concentration of the drug
used in patients with endometrial cancer) for 12.24 and 48 hours in comparison to the untreated cells
(control). The molecular analysis included: extraction of total RNA, microarray analysis (mRNA and
miRNA), RTqPCR, and the ELISA assay.
Results: Out of 226 mRNAs associated with the EMT, the number of mRNAs differentially expressed in
endometrial cancer cell cultures treated with cisplatin compared to a control culture was as follows: Ishikawa
line - 87 mRNAs; EC-1A - 84 mRNAs; KLE - 71 mRNAs (p<0.05). The greatest changes in the
Ishikawa line treated with the drug compared to the control were noticed for mRNA STAT1 TGFβ1,
SMAD3, FOXO8, whereas in EC-1A they were mRNA TGFβ1, BAMBI, SMAD4, and in KLE mRNA
COL1A1, FOXO8, TGFβ1. The analysis also showed that miR-106a, miR-30d, miR-300 are common
for all cell lines used in this experiment.
Conclusion: Cisplatin changes the expression profile of genes associated with EMT in endometrial cancer
cell lines. It seems that the expression pattern of TGFβ1 might be a promising, supplementary molecular
marker of the effectiveness of cisplatin therapy. The analysis showed that miR-30d, miR-300,
and miR-106a are involved in the regulation of the expression of EMT-related genes.
Keywords:
Cisplatin, endometrial cancer, cell line, mRNA, miRNA, epithelial-mesenchymal transition.
Graphical Abstract
[2]
Onstad, M.A.; Schmandt, R.E.; Lu, K.H. Addressing the role of obesity in endometrial cancer risk, prevention, and treatment. JCM, 2016, 34(35), 4225.
[7]
Koyuncu, K.; Altın, D.; Turgay, B.; Varlı, B.; Konuralp, B.; Şükür, Y.E.; Ortaç, F. Binary grading may be more appropriate for endo-metrial cancer. J. Turk. Ger. Gynecol. Assoc., 2020, 21(3), 163.
[13]
Du, B.; Shim, J.S. Targeting epithelial–mesenchymal transition (EMT) to overcome drug resistance in cancer. Molecules, 2016, 21(7), 965.
[31]
Keshavarzian, D.A. Mutlu, E.A. complementary and alternative medicine in inflammatory bowel disease. Gastroenterol. Clin. North Am., 2017, 46, 4.
[36]
Dąbruś, D.; Kiełbasiński, R.; Grabarek, B.O.; Boroń, D. Evaluation of the impact of cisplatin on variances in the expression pattern of leptin-related genes in endometrial cancer cells. Int. J. Mol. Sci., 2020, 20(11), 4135.
[43]
Hsu, J.B.K.; Chiu, C.M.; Hsu, S.D.; Huang, W.Y.; Chien, C.H.; Lee, T.Y.; Huang, H.D. miRTar: An integrated system for identifying miRNA-target interactions in human. BMC Bioinformatics, 2011, 12(1), 300.
[44]
Saeid, M.M.; Nossair, Z.B.; Saleh, M.A. A microarray cancer classification technique based on discrete wavelet transform for data reduction and genetic algorithm for feature selection. 4th International Conference on Trends in Electronics and Informatics (ICOEI), 2020, pp. 857-861.
[52]
Dobrogowski, J.; Przeklasa-Muszyńska, A.; Woroń, J.; Wordliczek, J. Zasady kojarzenia leków w terapii bólu.Palliat. Care, 2007, 11-, 6-15.
[64]
Chen, W.; Huang, X.; Peng, A.; Chen, T.; Yang, R.; Huang, Y.; Xi, S. Kangquan Recipe Regulates the Expression of BAMBI Protein via the TGF-β/Smad Signaling Pathway to Inhibit Benign Prostatic Hyperplasia in Rats. Evid. Based Complement. Alternat. Med., 2019, 7, 1-11.
[66]
Ma, H.P.; Chang, H.L.; Bamodu, O.A.; Yadav, V.K.; Huang, T.Y.; Wu, A.T. Collagen 1A1 (COL1A1) is a reliable biomarker and putative therapeutic target for hepatocellular carcinogenesis and metastasis. Cancers, 2019, 11(6), 786.