Abstract
Colorectal cancer has high morbidity and mortality worldwide, especially in western countries; the incidence of colorectal cancer has been high, which is closely related to the high intake of red meat; and the N-glycolylneuraminic acid (Neu5Gc) is responsible for red meat-induced colorectal cancer. A large number of previous studies have suggested that exogenous Neu5Gc-activated inflammation induced the occurrence of colorectal cancer. However, it has not been known whether the Neu5Gc has a direct inducing effect on colorectal cancer. In this study, we found that Neu5Gc promoted the proliferation of colorectal cancer cells and normal intestinal epithelial cells, and further screened out 98 Neu5Gc targets related to the occurrence and development of colorectal cancer by network pharmacology. Subsequently, GO and KEGG enrichment analyses of these targets revealed that mainly enriched in the PI3K-Akt signaling pathway. Then, we selected SRC, HRAS, CDK2, CCNA2, and AKT2 as core targets based on the phenomena of the previous experiments and the available literature reports, and then we used AutoDock for molecular docking with Neu5Gc; the results found that these five genes could bind to Neu5Gc stably. In vitro experiments showed that the mRNA levels of SRC, HRAS, AKT2, CDK2, and CCNA2 were upregulated and the protein levels of HRAS, AKT2, and CCNA2 were enhanced in FHC and SW620 cells after Neu5Gc (100 ng/mL) treatment. In conclusion, this study revealed that Neu5Gc probably acted as a carcinogen that stimulates the expression of proto-oncogene HRAS and the PI3K-Akt pathway and accelerated cell cycle progression. These findings revealed a novel mechanism that Neu5Gc promoted the occurrence and development of colorectal cancer.
Similar content being viewed by others
Data availability
Not applicable.
Abbreviations
- Neu5Gc:
-
N-glycolylneuraminic acid
- CRC:
-
Colorectal cancer
- MTT:
-
3-(4,5-Dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide
- CMAH:
-
Cytidine monophosphate-N-acetylneuraminic acid hydroxylase
- KEGG:
-
Kyoto Encyclopedia of Genes and Genomes
- GO:
-
Gene Ontology
- FBS:
-
Fetal bovine serum
- BP:
-
Biological processes
- CC:
-
Cellular components
- MF:
-
Molecular functions
- ANOVA:
-
One-way analysis of variance
References
Brenner H, Kloor M, Pox CP (2014) Colorectal cancer. Lancet 383(9927):1490–1502. https://doi.org/10.1016/S0140-6736(13)61649-9
Bray F, Ferlay J, Soerjomataram I, Siegel RL, Torre LA, Jemal A (2018) Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin 68(6):394–424. https://doi.org/10.3322/caac.21492
Bardor M, Nguyen DH, Diaz S, Varki A (2005) Mechanism of uptake and incorporation of the non-human sialic acid N-glycolylneuraminic acid into human cells. J Biol Chem 280(6):4228–4237. https://doi.org/10.1074/jbc.M412040200
Brody H (2015) Colorectal cancer. Nature 521(7551):S1. https://doi.org/10.1074/jbc.M412040200
Clinton SK, Giovannucci EL, Hursting SD (2020) The World Cancer Research Fund/American Institute for Cancer Research Third Expert Report on Diet, Nutrition, Physical Activity, and Cancer: impact and future directions. J Nutr 150(4):663–671. https://doi.org/10.1093/jn/nxz268
Center MM, Jemal A, Smith RA, Ward E (2009) Worldwide variations in colorectal cancer. CA Cancer J Clin 59(6):366–378. https://doi.org/10.3322/caac.20038
Chan DS, Lau R, Aune D, Vieira R, Greenwood DC, Kampman E, Norat T (2011) Red and processed meat and colorectal cancer incidence: meta-analysis of prospective studies. PLoS One 6(6):e20456. https://doi.org/10.1371/journal.pone.0020456
Chou HH, Takematsu H, Diaz S, Iber J, Nickerson E, Wright KL, Muchmore EA, Nelson DL, Warren ST, Varki A (1998) A mutation in human CMP-sialic acid hydroxylase occurred after the Homo-Pan divergence. Proc Natl Acad Sci U S A 95(20):11751–11756. https://doi.org/10.1073/pnas.95.20.11751
Chandrashekar DS, Karthikeyan SK, Korla PK, Patel H, Shovon AR, Athar M, Netto GJ, Qin ZS, Kumar S, Manne U, Creighton CJ, Varambally S (2022) UALCAN: an update to the integrated cancer data analysis platform. Neoplasia 25:18–27. https://doi.org/10.1016/j.neo.2022.01.001
Chan TO, Rodeck U, Chan AM, Kimmelman AC, Rittenhouse SE, Panayotou G, Tsichlis PN (2002) Small GTPases and tyrosine kinases coregulate a molecular switch in the phosphoinositide 3-kinase regulatory subunit. Cancer Cell 1:181–191. https://doi.org/10.1016/s1535-6108(02)00033-8
Christopher K, Glass CK, Olefsky JM (2012) Inflammation and lipid signaling in the etiology of insulin resistance. Cell Metab 15(5):635–645. https://doi.org/10.1016/j.cmet.2012.04.001
de Abreu Silva EO, Marcadenti A (2009) Higher red meat intake may be a marker of risk, not a risk factor itself. Arch Intern Med 169(16):1538–1539. https://doi.org/10.1001/archinternmed.2009.278
Duan S, Huang W, Liu X, Liu X, Chen N, Xu Q, Hu Y, Song W, Zhou J (2018) IMPDH2 promotes colorectal cancer progression through activation of the PI3K/AKT/mTOR and PI3K/AKT/FOXO1 signaling pathways. J Exp Clin Cancer Res 37(1):304. https://doi.org/10.1186/s13046-018-0980-3
Fukui Y, Saltiel AR, Hanafusa H (1991) Phosphatidylinositol-3 kinase is activated in v-src, v-yes, and v-fps transformed chicken embryo fibroblasts. Oncogene 6:407–411
Hedlund M, Tangvoranuntakul P, Takematsu H, Long JM, Housley GD, Kozutsumi Y, Suzuki A, Wynshaw-Boris A, Ryan AF, Gallo RL, Varki N, Varki A (2007) N-glycolylneuraminic acid deficiency in mice: implications for human biology and evolution. Mol Cell Biol 27(12):4340–4346. https://doi.org/10.1128/MCB.00379-07
Huang DW, Sherman BT, Lempicki RA (2009) Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources. Nat Protoc 4(1):44–57. https://doi.org/10.1038/nprot.2008.211
Jiang A, Zhou Y, Gong W, Pan X, Gan X, Wu Z, Liu B, Qu L, Wang L (2022) CCNA2 as an immunological biomarker encompassing tumor microenvironment and therapeutic response in multiple cancer types. Oxid Med Cell Longev 2022:5910575. https://doi.org/10.1155/2022/5910575
Kawachi S, Saida T (1992) Analysis of the expression of Hanganutziu-Deicher (HD) antigen in human malignant melanoma. J Dermatol 19(11):827–830. https://doi.org/10.1111/j.1346-8138.1992.tb03791.x
Kim S, Chen J, Cheng T, Gindulyte A, He J, He S, Li Q, Shoemaker BA, Thiessen PA, Yu B, Zaslavsky L, Zhang J, Bolton EE (2021) PubChem in 2021: new data content and improved web interfaces. Nucleic Acids Res 49(D1):1388–1395. https://doi.org/10.1093/nar/gkaa971
Kawanishi Kunio, Dhar Chirag, Do Raymond, Varki Nissi, Gordts Philip L S M, Varki Ajit. (2019) Human species-specific loss of CMP-N-acetylneuraminic acid hydroxylase enhances atherosclerosis via intrinsic and extrinsic mechanisms.[J]. Proc Natl Acad Sci USA. 116(32). https://doi.org/10.1073/pnas.1902902116.
Kodaki T, Woscholski R, Hallberg B, Rodriguez-Viciana P, Downward J, Parker PJ (1994) The activation of phosphatidylinositol 3-kinase by Ras. Curr Biol 4(9):798–806
Li R, Ma X, Song Y, Zhang Y, Xiong W, Li L, Zhou L (2019) Anti-colorectal cancer targets of resveratrol and biological molecular mechanism: analyses of network pharmacology, human and experimental data. J Cell Biochem 120:11265–11273. https://doi.org/10.1002/jcb.28404
Rahmani F, Ferns GA, Talebian S, Nourbakhsh M, Avan A, Shahidsales S (2020) Role of regulatory miRNAs of the PI3K/AKT signaling pathway in the pathogenesis of breast cancer. Gene 737:144459. https://doi.org/10.1016/j.gene.2020.144459
Sinha R, Cross AJ, Graubard BI, Leitzmann MF, Schatzkin A (2009) Meat intake and mortality: a prospective study of over half a million people. Arch Intern Med 169(6):562–571. https://doi.org/10.1001/archinternmed.2009.6
Samraj AN, Läubli H, Varki N, Varki A (2014) Involvement of a non-human sialic Acid in human cancer. Front Oncol 19:4–33. https://doi.org/10.3389/fonc.2014.00033
Samraj AN, Bertrand KA, Luben R, Khedri Z, Yu H, Nguyen D, Gregg CJ, Diaz SL, Sawyer S, Chen X, Eliassen H, Padler-Karavani V, Wu K, Khaw KT, Willett W, Varki A (2018) Polyclonal human antibodies against glycans bearing red meat-derived non-human sialic acid N-glycolylneuraminic acid are stable, reproducible, complex and vary between individuals: total antibody levels are associated with colorectal cancer risk. PLoS One 13(6):e0197464. https://doi.org/10.1371/journal.pone.0197464
Sun L, Dong S, Ge Y, Fonseca JP, Robinson ZT, Mysore KS, Mehta P (2019) DiVenn: an interactive and integrated web-based visualization tool for comparing gene lists. Front Genet 10:421. https://doi.org/10.3389/fgene.2019.00421
Szklarczyk D, Gable AL, Lyon D, Junge A, Wyder S, Huerta-Cepas 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 genome-wide experimental datasets. Nucleic Acids Res 47(D1):D607–D613. https://doi.org/10.1093/nar/gky1131
Shannon P (2003) Cytoscape: a software environment for integrated models of biomolecular interaction networks. Genome Res 13(11):2498–2504. https://doi.org/10.1101/gr.1239303
Saurus P, Kuusela S, Dumont V, Lehtonen E, Fogarty CL, Lassenius MI, Forsblom C, Lehto M, Saleem MA, Groop PH, Lehtonen S (2016) Cyclin-dependent kinase 2 protects podocytes from apoptosis. Sci Rep 6:21664. https://doi.org/10.1038/srep21664
Sheng L, He P, Yang X, Zhou M, Feng Q (2015) miR-612 negatively regulates colorectal cancer growth and metastasis by targeting AKT2. Cell Death Dis 6(7):e1808. https://doi.org/10.1038/cddis.2015.184
Talukdar S, Emdad L, Das SK, Fisher PB (2020) EGFR: an essential receptor tyrosine kinase-regulator of cancer stem cells. Adv Cancer Res 147:161–188. https://doi.org/10.1016/bs.acr.2020.04.003
Funding
This study was supported by the National Natural Science Foundation of China (No. 32072220), Shanxi Province Science Foundation for Youths (201901D211128), Shanxi Province Science Foundation for Key Project (International Science and Technology Cooperation, 201903D421055), Project of the Central Government Guiding Local Science and Technology (No. YDZJSX2022A006), and Shanxi Postgraduate Education Innovation Project (2022Y112).
Author information
Authors and Affiliations
Contributions
Ya-Ning Liu and Jing-Yi Liang assisted with cell experiment. Shu-Ning Yan and Yu Chen assisted with network analysis. Li-Chao Zhang, Xiao-Qin La, and Zhuo-Yu Li designed the experiments. Li-Chao Zhang and Ya-Ning Liu wrote and revised the manuscript. All authors read and approved the manuscript and all data were generated in-house and that no paper mill was used.
Corresponding authors
Ethics declarations
Ethics approval
Not applicable.
Consent to participate
Not applicable.
Consent for publication
Not applicable.
Competing interests
The authors declare no competing interests.
Additional information
Publisher's note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Zhang, LC., Liu, YN., La, XQ. et al. The potential mechanism of Neu5Gc inducing colorectal cancer based on network pharmacology and experimental validation. Naunyn-Schmiedeberg's Arch Pharmacol 396, 705–718 (2023). https://doi.org/10.1007/s00210-022-02345-w
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00210-022-02345-w