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Identification of Selective STAT1 Inhibitors by Computational Approach

  • Veena Jaganivasan (Department of Genetic Engineering School of Bioengineering SRM Institute of Science and Technology) ;
  • Dona Samuel Karen (Department of Genetic Engineering School of Bioengineering SRM Institute of Science and Technology) ;
  • Bavya Chandrasekhar (Department of Microbiology, School of Biological Science, CMS College of Science and Commerce)
  • 투고 : 2023.07.16
  • 심사 : 2023.09.13
  • 발행 : 2023.10.10

초록

Colorectal cancer is one of the most common types of cancer worldwide, ranking third after lung and breast cancer in terms of global prevalence. With an expected 1.93 million new cases and 935,000 deaths in 2020, it is more prevalent in males than in women. Evidence has shown that during the later stages of colon cancer, STAT1 promotes tumor progression by promoting cell survival and resistance to chemotherapy. Recent studies have shown that inhibiting STAT1 pathway leads to a reduction in tumor cell proliferation and growth, and can also promote apoptosis in colon cancer cells. One of the recent approaches in the field of drug discovery is drug repurposing. In drug repurposing approach we have virtually screened FDA database against STAT1 protein and their interactions have been studied through Molecular docking. Cross docking was performed with the top 10 compounds to be more specific with STAT1 comparing the affinity with STAT2, STAT3, STAT4, STAT5a, STAT5b and STAT6. The drugs that showed higher affinity were subjected to Conceptual - Density functional theory. Besides, the Molecular dynamic simulation was also carried out for the selected leads. We also validated in-vitro against colon cancer cell lines. The results showed mainly Acetyldigitoxin has shown better binding to the target. From this study, we can predict that the drug Acetyldigitoxin has shown noticeable inhibitory efficiency against STAT1, which in turn can also lead to the reduction of tumor cell growth in colon cancer.

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참고문헌

  1. Ba Q, Hao M, Huang H, et al, "Iron deprivation suppresses hepatocellular carcinoma growth in experimental studies", Clin Cancer Res., Vol. 17, pp. 7625-7633, 2011. https://doi.org/10.1158/1078-0432.CCR-10-3099
  2. Wan ML, Wang Y, Zeng Z, et al, "Colorectal cancer (CRC) as a multifactorial disease and its causal correlations with multiple signaling pathways", Bioscience Reports., Vol. 40, pp. 1-15, 2020. https://doi.org/10.1042/BSR20200265
  3. Slattery, M. L., Lundgreen, A., Kadlubar, S. A., Bondurant, K. L., & Wolff, R. K., "JAK/STAT/SOCS-signaling pathway and colon and rectal cancer." Molecular Carcinogenesis, Vol. 52, No. 2, pp. 155-166, 2011. doi:10.1002/mc.21841
  4. Yue, Y., Zhang, Q., Wu, S., Wang, S., Cui, C., Yu, M., & Sun, Z., Identification of key genes involved in JAK/STAT pathway in colorectal cancer. Molecular Immunology, Vol. 128, pp. 287-297, 2020. doi:10.1016/j.molimm.2020.10.007
  5. Verhoeven, Y., Tilborghs, S., Jacobs, J., De Waele, J., Quatannens, D., Deben, C., ... van Dam, P. A., "The potential and controversy of targeting STAT family members in cancer." Seminars in Cancer Biology, 2019. doi:10.1016/j.semcancer.2019.10.002 10.1016/j.semcancer.2019.10.002
  6. Konjevic, G., Radenkovic, S., Vuletic, A., Mirjacic, K., Jurisic, V., & Srdic, T., "STAT Transcription Factors in Tumor Development and Targeted Therapy of Malignancies." InTech, 2013. doi: 10.5772/54893
  7. Tian An, Lingyu Guo., "Comprehensive analysis of STAT family members as prognostic markers in human breast cancer." European Journal of Gynaecological Oncology, Vol. 43, No. 5, pp. 55-70, 2022.
  8. Ramana, C. V., Chatterjee-Kishore, M., Nguyen, H., & Stark, G. R., "Complex roles of Stat1 in regulating gene expression." Oncogene, Vol. 19 No. 21, pp. 2619-2627, 2000. doi:10.1038/sj.onc.1203525
  9. Pushpakom, S., Iorio, F., Eyers, P.A., Escott, K.J., Hopper, S., Wells, A., Doig, A., Guilliams, T., Latimer, J., McNamee, C. and Norris, A., "Drug repurposing: progress, challenges and recommendations."Nature reviews Drug discovery, Vol. 18, No. 1, pp. 41-58, 2019. https://doi.org/10.1038/nrd.2018.168
  10. Ramana, C. V., Chatterjee-Kishore, M., Nguyen, H., & Stark, G. R., "Complex rolesof Stat1 in regulating gene expression." Oncogene, Vol. 19, No. 21, pp. 2619-2627, 2000. doi:10.1038/sj.onc.1203525
  11. Baba, N. and Akaho, E., "VSDK: Virtual screening of small molecules using AutoDock Vina on Windows platform." Bioinformation, Vol. 6, No. 10, p.387, 2011.
  12. Yuan, S., Chan, H.S. and Hu, Z., "Using PyMOL as a platform for computational drug design." Wiley Interdisciplinary Reviews: Computational Molecular Science, Vol. 7, No. 2, p.e1298, 2017.
  13. Kurth S, Marques MAL, Gross EKU, "Density-Functional Theory." Encyclopediaof Condensed Matter Physics, pp. 395-402, 2005.
  14. Noureddine O, Issaoui N, Al-Dossary O, "DFT and molecular docking study of chloroquine derivatives as antiviral to Identification of Selective STAT1 Inhibitors by Computational Approach J. Chosun Natural Sci., Vol. 16, No. 3, 2023 95coronavirus COVID-19", Journal of King Saud University -Science., Vol. 33, pp. 101248, 2021, Gupta VP. Principles and applications of quantum chemistry.
  15. Beveridge, D.L., Barreiro, G., Byun, K.S., Case, D.A., Cheatham, T.E., Dixit, S.B., Giudice, E., Lankas, F., Lavery, R., Maddocks, J.H. and Osman, R., "Molecular dynamics simulations of the 136 unique tetranucleotide sequences of DNA oligonucleotides." I. Research design and results on d (CpG) steps. Biophysical journal, Vol. 87, No. 6, pp.3799-3813, 2004. https://doi.org/10.1529/biophysj.104.045252