Network pharmacology of black cumin (Nigella sativa L.) as a candidate of OMAI in colorectal cancer: in silico study

https://doi.org/10.22146/ijbiotech.70699

Firzannida Firzannida(1), Sakti Bagaskara(2), Savana Sonia Savira(3), Aufa Fadnurrahim(4), Siti Rofida(5*)

(1) Pharmacy Undergraduate Student, Faculty of Health Science, University of Muhammadiyah Malang, East Java 65145, Indonesia
(2) Pharmacy Undergraduate Student, Faculty of Health Science, University of Muhammadiyah Malang, East Java 65145, Indonesia
(3) Pharmacy Undergraduate Student, Faculty of Health Science, University of Muhammadiyah Malang, East Java 65145, Indonesia
(4) Pharmacy Undergraduate Student, Faculty of Health Science, University of Muhammadiyah Malang, East Java 65145, Indonesia
(5) Pharmacy Department, Faculty of Health Science, University of Muhammadiyah Malang, East Java 65145, Indonesia
(*) Corresponding Author

Abstract


Colorectal cancer is the third most common cancer globally and the second leading cause of cancer‐related deaths. The management of colorectal cancer requires consideration of various factors due to the non‐selectivity of drugs, meaning that highly effective treatment with lower side effects is needed. Black cumin (Nigella sativa L.) contains thymoquinone and various other metabolites with potential as anticancer effects. The involvement of various genes and the difficulty of drug development have led to a ashift in the drug development paradigm towards plant‐based medicine that is both multicomponent and synergistic in supporting the resulting pharmacological effects. Network pharmacology can predict the synergistic effect of a multicomponent approach. This study aimed to predict the network pharmacology of black cumin as a candidate for OMAI (“Obat Modern Asli Indonesia”, Indonesian‐origin modern medicine) in colorectal cancer. This research was an in silico study using various ethnobotanical databases and software. The results show that seven metabolites in black cumin are correlated with ten surface receptor proteins, 30 intracellular proteins, and mechanisms involving six colorectal cancer signaling pathways. This result indicates that Nigella sativa L. has potential in OMAI and can be a reference for the development of cancer treatment, especially for colorectal cancer.

Keywords


colorectal cancer; in silico; natural remedies; network pharmacology; Nigella sativa

Full Text:

PDF


References

Altman T, Travers M, Kothari A, Caspi R, Karp PD. 2013. A systematic comparison of the MetaCyc and KEGG pathway databases. BMC Bioinformatics 14(112):1– 15. doi:10.1186/1471­2105­14­112.

Barata JT, Oliveira ML. 2019. Cell Signaling in Cancer. In: R Fior, R Zilhão, editors, Molecular and Cell Biology of Cancer: When Cells Break the Rules and Hijack Their Own Planet, chapter 3. Switzerland: Springer Nature Switzerland AG, 1 edition. p. 31–43. doi:10.1007/978­3­030­11812­9_3.

Carneiro BA, El­Deiry WS. 2020. Targeting apoptosis in cancer therapy. Nat. Rev. Clin. Oncol. 17:395–417. doi:10.1038/s41571­020­0341­y.

Carrillo C, Cavia MDM, Alonso­Torre SR. 2012. Antitumor effect of oleic acid; mechanisms of action: a review. Nutr. Hosp. 27(5):1860–1865. doi:10.3305/nh.2012.27.6.6010.

Chen M, Lee N, Hsu H, Ho T, Tu C, Chen R, Yueh­Min Lin Y, Viswanadha V, Kuo W, Huang C. 2017. Inhibition of NF­B and metastasis in irinotecan (CPT­11)­ resistant LoVo colon cancer cells by thymoquinone via JNK and p38. Environ. Toxicol. 32(2):669–678. doi:10.1002/tox.22268.

Corso M, Perreau F, Mouille G, Lepiniec L. 2020. Specialized phenolic compounds in seeds: structures, functions, and regulations. Plant Sci. 296(110471):1–15. doi:10.1016/j.plantsci.2020.110471.

Daina A, Michielin O, Zoete V. 2019. SwissTargetPrediction: updated data and new features for efficient prediction of protein targets of small molecules. Nucleic Acids Res. 47(W1):W357–W364. doi:10.1093/nar/gkz382.

Dirican A, Atmaca H, Bozkurt E, Erten C, Karaca B, Uslu R. 2015. Novel combination of docetaxel and thymoquinone induces synergistic cytotoxicity and apoptosis in DU­145 human prostate cancer cells by modulating PI3KAKT pathway. Clin. Transl. Oncol. 17(2):145–151. doi:10.1007/s12094­014­1206­6.

Doncheva NT, Morris JH, Gorodkin J, Jensen LJ. 2019. Cytoscape StringApp: Network analysis and visualization of proteomics data. J. Proteome Res. 18(2):623–632. doi:10.1021/acs.jproteome.8b00702.

El­Baba C, Mahadevan V, Fahlbusch F, Mohan S, Rau T, Gali­Muhtasib H, Schneider­Stock R. 2014. Thymoquinone­induced conformational changes of PAK1 interrupt prosurvival MEK­ERK signaling in colorectal cancer. Mol. Cancer 13:201. doi:10.1186/1476­4598­13­201.

Filimonov DA, Lagunin AA, Gloriozova TA, Rudik AV, Druzhilovskii DS, Pogodin PV, Poroikov VV. 2014. Prediction of the biological activity spectra of organic compounds using the pass online web resource. Chem. Heterocycl. Compounds 50(3):444– 457. doi:10.1007/s10593­014­1496­1.

Florescu­Ţenea RM, Kamal AM, Mitruţ P, Mitruţ R, Ilie DS, Nicolaescu AC, Mogoantă L. 2019. Colorectal Cancer: An update on treatment options and future perspectives. Curr. Health Sci. J. 45(2):134–141. doi:10.12865/CHSJ.45.02.02.

Gfeller D, Grosdidier A, Wirth M, Daina A, Michielin O, Zoete V. 2014. SwissTargetPrediction: a web server for target prediction of bioactive small molecules. Nucleic Acids Res. 42(W1):W32–W38. doi:10.1093/nar/gku293.

Guney E, Menche J, Vidal M, Barábasi A. 2016. Networkbased in silico drug efficacy screening. Nat. Commun. 7(1):1–13. doi:10.1038/ncomms10331.

Guo Y, Pan W, Liu S, Shen Z, Xu Y, Hu L. 2020. ERK/MAPK signalling pathway and tumorigenesis. Exp. Ther. Med. 19(3):1997–2007. doi:10.3892/etm.2020.8454.

Hao Y, Baker D, Ten Dijke P. 2019. TGF­β­ mediated epithelial­mesenchymal transition and cancer metastasis. Int. J. Mol. Sci. 20(11):1–34. doi:10.3390/ijms20112767.

Hosseinzadeh H, Mollazadeh H, Afshari A. 2017. Review on the potential therapeutic roles of Nigella sativa in the treatment of patients with cancer: Involvement of apoptosis. J. Pharmacopuncture 20(3):158–172. doi:10.3831/kpi.2017.20.019.

Hsu H, Chen M, Day C, Lin Y, Li S, Tu C, Padma V Shih H, Kuo W, Huang C. 2017. Thymoquinone suppresses migration of LoVo human colon cancer cells by reducing prostaglandin E2 induced COX­2 activation. World J. Gastroenterol. 23(7):71171–71179. doi:10.3748/wjg.v23.i7.1171.

Idrus R, Nordin A, Kamal H, Yazid M, Saim A. 2019. Effect of Nigella sativa and its bioactive compound on type 2 epithelial to mesenchymal transition: a systematic review. BMC Complementary Altern. Med. 19(290):1–12. doi:10.1186/s12906­019­2076­2.

Islam M, Khalipha A, Bagchi R, Mondal M, Smrity S, Uddin S, Shilpi J, Rouf R. 2019. Anticancer activity of Thymol: A literaturebased review and docking study with Emphasis on its anticancer mechanisms. IUBMB Life 71(1):9–19. doi:10.1002/iub.1935.

Juan C, Agahi F, Font G, Juan­Garcia A. 2020. In silico methods for metabolomics and toxicity prediction of zearalenone, α­zearalenone, and β­zearalenone. Food Chem. Toxicol. 146:1–10. doi:10.1016/j.fct.2020.111818.

Jung B, Staudacher J, Beauchamp D. 2017. Transforming Growth Factor beta Superfamily Signaling in Development of Colorectal Cancer. Gastroenterology 152(1):36–52. doi:10.1053/j.gastro.2016.10.015.

Khan MA, Tania M, Fu S, Fu J. 2017. Thymoquinone, as an anticancer molecule: from basic research to clinical investigation. Oncotarget 8(31):51907–51919. doi:10.18632/oncotarget.17206.

Kononenko O, Baysal O, Holmes R, Godfrey MW. 2014. Mining modern repositories with elasticsearch. In: Proceedings of the 11th Working Conference on Mining Software Repositories, MSR 2014. New York, NY, USA: Association for Computing Machinery. p. 328–331. doi:10.1145/2597073.2597091.

Kooti W, Hasanzadeh­Noohi Z, Sharafi­Ahvazi N, AsadiSamani M, Ashtary­Larky D. 2016. Phytochemistry, pharmacology, and therapeutic uses of black seed (Nigella sativa). Chin. J. Nat. Med. 14(10):732–745. doi:10.1016/s1875­5364(16)30088­7.

Koveitypour Z, Panahi F, Vakilian M, Peymani M, Forootan F, Esfahani M, Ghaedi K. 2019. Signaling pathways involved in colorectal cancer progression. Cell Biosci. 9:1–14. doi:10.1186/s13578­019­0361­ 4.

Li M, Li D, Tang Y, Wu F, Wang J. 2017. CytoCluster: A cytoscape plugin for cluster analysis and visualization of biological networks. Int. J. Mol. Sci. 18(9):1–13. doi:10.3390/ijms18091880.

Ministry of Health of the Republic of Indonesia. 2018. Pedoman Nasional Pelayanan Kedokteran Tata Laksana Kanker Kolorektal. Kementerian Kesehatan Republik Indonesia.

National Agency of Drug and Food Control of the Republic of Indonesia. 2020. Informatorium Obat Modern Asli Indonesia (OMAI) di Masa Pandemi COVID­19. Jakarta: National Agency of Drug and Food Control of the Republic of Indonesia.

Okita A, Takahashi S, Ouchi K, Inoue M, Watanabe M, Endo M, Honda H, Yamada Y, Ishioka C. 2018. Consensus molecular subtypes classification of colorectal cancer as a predictive factor for chemotherapeutic efficacy against metastatic colorectal cancer. Oncotarget 9(27):18698–18711. doi:10.18632/oncotarget.24617.

Recio­Boiles A, Cagir B. 2021. Colon Cancer. StatPearls Publishing. URL https://www.ncbi.nlm.nih.gov/boo ks/NBK470380/. Salim L, Mohan S, Othman R, Abdelwahab S, Kamalidehghan B, Sheikh B, Ibrahim M. 2013. Thymoquinone induces mitochondria­mediated apoptosis in acute lymphoblastic leukaemia in vitro. Molecules 18(9):11219–11240. doi:10.3390/molecules180911219.

Santarpia L, Lippman SM, El­Naggar AK. 2012. Targeting the MAPK–RAS–RAF signaling pathway in cancer therapy. Expert Opin. Ther. Targets 16(1):103– 119. doi:10.1517/14728222.2011.645805.

Savithramma N, Yugandhar P, Prasad KS, Ankanna S, Chetty KM. 2016. Ethnomedicinal studies on plants used by Yanadi tribe of Chandragiri reserve forest area, Chittoor District, Andhra Pradesh, India. J. Intercult. Ethnopharmacol. 5(1):49–56. doi:10.5455/jice.20160122065531.

Singer S. 2018. Psychosocial impact of cancer. Recent Results Cancer Res. 210(210):1–11. doi:10.1007/978­3­ 319­64310­6_1.

Slattery M, Mullany L, Sakoda L, Wolff R, Stevens J, Samowitz W, Herrick J. 2018. The PI3K/AKT signaling pathway: Associations of miRNAs with dysregulated gene expression in colorectal cancer. Mol. Carcinog. 57(2):243–261. doi:10.1002/mc.22752.

Sutiono R, Salim MMGR, Nadya, Liani O, Susanto S. 2017. Native Indonesian Herbs: Challenges in The Future for Anti­Cancer Drugs. Cermin Dunia Kedokteran 44(11):822–826. doi:http://dx.doi.org/10.55175/cdk.v44i11.708.

Sveen A, Bruun J, Eide P, Eilertsen I, Ramirez L, Murumägi A, Arjama M, Danielsen S, Kryeziu K, Elez E, Tabernero J, Guinney J, Palmer H, Nesbakken A, Kallioniemi O, Dienstmann R, RA L. 2018. Colorectal cancer consensus molecular subtypes translated to preclinical models uncover potentially targetable cancer cell dependencies. Clin. Cancer Res. 24(4):794– 806. doi:10.1158/1078­0432.CCR­17­1234.

Syahrir NHA, Afendi FM, Susetyo B. 2016. Efek sinergis bahan aktif tanaman obat berbasiskan jejaring dengan protein target. Jurnal Jamu Indonesia 1(1):35–46. URL http://biofarmaka.ipb.ac.id/biofarmaka/2017/Ju rnal%20Jamu%20Indonesia%20Vol%201%20No% 201%20Artikel%205.pdf.

Szklarczyk D, Gable AL, Lyon D, Junge A, Wyder S, Huerta­Cepas J, Simonovic M, Doncheva NT, Morris JH, Bork P, Jensen LJ, Mering Cv. 2019. STRING v11: protein–protein association networks with increased coverage, supporting functional discovery in genome­wide experimental datasets. Nucleic Acids Res. 47(D1):D607–D613. doi:10.1093/nar/gky1131. URL https://doi.org/10.1093/nar/gky1131.

Szklarczyk D, Santos A, von Mering C, Jensen LJ, Bork P, Kuhn M. 2016. STITCH 5: augmenting protein­chemical interaction networks with tissue and affinity data. Nucleic Acids Res. 44(D1):D380–4. doi:10.1093/nar/gkv1277.

Tejeda­Muñoz N, Robles­Flores M. 2015. Glycogen synthase kinase 3 in Wnt signaling pathway and cancer. IUBMB Life 67(12):914–922. doi:10.1002/iub.1454.

Vogelstein B, Papadopoulos N, Velculescu V, Zhou S, Diaz, LA J, Kinzler K. 2013. Cancer genome landscapes. Science 339(6127):1546–1558. doi:10.1126/science.1235122.

Woo C, Hsu A, Kumar A, Sethi G, Tan K. 2013. Thymoquinone inhibits tumor growth and induces apoptosis in a breast cancer xenograft mouse model: the role of p38 MAPK and ROS. PLoS One 8(10):e75356. doi:10.1371/journal.pone.0075356.

Yi F, Liu H, Li L, Xu L, Meng H, Dong Y, Xiao P. 2018. In silico approach in reveal traditional medicine plants pharmacological material basis. Chinese Med. CHIN MED­UK 13(1):1–20. doi:10.1186/s13020­ 018­0190­0.



DOI: https://doi.org/10.22146/ijbiotech.70699

Article Metrics

Abstract views : 1714 | views : 967

Refbacks

  • There are currently no refbacks.


Copyright (c) 2022 The Author(s)

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.