Abstract
Gastric cancer is strongly associated with Helicobacter pylori (H. pylori) infection. However, the molecular mechanisms underlying the development of gastric cancer in the context of H. pylori infection, particularly in relation to ferroptosis, remain poorly understood. In this study, we investigated the role of the Helicobacter-associated ferroptosis gene YWHAE in gastric cancer. We analyzed multi-omics data, performed molecular docking, and employed machine learning to comprehensively evaluate the expression, function, and potential implications in gastric cancer, including its influence on drug sensitivity, mutation, immune microenvironment, immunotherapy, and prognosis. Our findings demonstrated that the YWHAE gene exhibits high expression in both H. pylori-associated gastritis and gastric cancer. Pan-cancer analysis revealed elevated expression of YWHAE in several cancer types compared to normal tissues. We also examined the methylation, single nucleotide variations (SNVs), and copy number variations (CNVs) associated with YWHAE. Single-cell analysis indicated that the YWHAE gene is expressed in various cell types, with its expression level potentially influenced by H. pylori infection. Functionally, we observed a positive correlation between YWHAE gene expression and ferroptosis in gastric cancer and associated with multiple cancer-related signaling pathways, including MAPK, NF-κB, and PI3K. Furthermore, we predicted five small molecule compounds that show promise for treating gastric cancer patients and screened five drugs with the highest correlation with YWHAE and validated them by molecular docking. Additionally, significant differences were observed in various immune cell types and immunotherapeutic response between the high and low YWHAE gene expression groups. Moreover, we found a positive correlation between YWHAE gene expression and the tumour mutation burden (TMB). By applying 10 machine learning algorithms and 101 integration combinations, we developed a prognostic model for YWHAE-related genes. Finally, qRT-PCR and immunohistochemistry (IHC) consistently demonstrated the upregulation of YWHAE in gastric cancer. In conclusion, we conducted a comprehensive analysis of YWHAE gene in gastric cancer. Our findings provided novel insights into the role of YWHAE as a gene associated with H. pylori infection and ferroptosis in gastric cancer and expanded our understanding of the molecular mechanisms underlying gastric carcinogenesis.
Similar content being viewed by others
Data availability
The datasets of this article were generated from the TCGA database, GEO database and previous studies.
References
Sung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A, Bray F (2021) Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin 71(3):209–249. https://doi.org/10.3322/caac.21660
Moss SF (2017) The clinical evidence linking Helicobacter pylori to gastric cancer. Cell Mol Gastroenterol Hepatol 3(2):183–191. https://doi.org/10.1016/j.jcmgh.2016.12.001
Lei G, Zhuang L, Gan B (2022) Targeting ferroptosis as a vulnerability in cancer. Nat Rev Cancer 22(7):381–396. https://doi.org/10.1038/s41568-022-00459-0
Stockwell BR (2022) Ferroptosis turns 10: emerging mechanisms, physiological functions, and therapeutic applications. Cell 185(14):2401–2421. https://doi.org/10.1016/j.cell.2022.06.003
Wang H, Liu M, Zeng X, Zheng Y, Wang Y, Zhou Y (2022) Cell death affecting the progression of gastric cancer. Cell Death Discov 8(1):377. https://doi.org/10.1038/s41420-022-01161-8
Sun S, Wong EW, Li MW, Lee WM, Cheng CY (2009) 14-3-3 and its binding partners are regulators of protein–protein interactions during spermatogenesis. J Endocrinol 202(3):327–336. https://doi.org/10.1677/joe-09-0041
Vučković AM, Bosello Travain V, Bordin L, Cozza G, Miotto G, Rossetto M, Toppo S, Venerando R, Zaccarin M, Maiorino M, Ursini F, Roveri A (2020) Inactivation of the glutathione peroxidase GPx4 by the ferroptosis-inducing molecule RSL3 requires the adaptor protein 14-3-3ε. FEBS Lett 594(4):611–624. https://doi.org/10.1002/1873-3468.13631
Denommé-Pichon AS, Collins SC, Bruel AL, Mikhaleva A, Wagner C, Vancollie VE, Thomas Q, Chevarin M, Weber M, Prada CE, Overs A, Palomares-Bralo M, Santos-Simarro F, Pacio-Míguez M, Busa T, Legius E, Bacino CA, Rosenfeld JA, Le Guyader G, Egloff M, Le Guillou X, Mencarelli MA, Renieri A, Grosso S, Levy J, Dozières B, Desguerre I, Vitobello A, Duffourd Y, Lelliott CJ, Thauvin-Robinet C, Philippe C, Faivre L, Yalcin B (2023) YWHAE loss of function causes a rare neurodevelopmental disease with brain abnormalities in human and mouse. Genet Med 25(7):100835. https://doi.org/10.1016/j.gim.2023.100835
Li X, Wang C, Wang S, Hu Y, Jin S, Liu O, Gou R, Nie X, Liu J, Lin B (2021) YWHAE as an HE4 interacting protein can influence the malignant behaviour of ovarian cancer by regulating the PI3K/AKT and MAPK pathways. Cancer Cell Int 21(1):302. https://doi.org/10.1186/s12935-021-01989-7
Park CH, Hong C, Lee AR, Sung J, Hwang TH (2022) Multi-omics reveals microbiome, host gene expression, and immune landscape in gastric carcinogenesis. Iscience 25(3):103956. https://doi.org/10.1016/j.isci.2022.103956
Zhou N, Yuan X, Du Q, Zhang Z, Shi X, Bao J, Ning Y, Peng L (2023) FerrDb V2: update of the manually curated database of ferroptosis regulators and ferroptosis-disease associations. Nucleic Acids Res 51(D1):D571-d582. https://doi.org/10.1093/nar/gkac935
Tang Z, Kang B, Li C, Chen T, Zhang Z (2019) GEPIA2: an enhanced web server for large-scale expression profiling and interactive analysis. Nucleic Acids Res 47(W1):W556-w560. https://doi.org/10.1093/nar/gkz430
Li T, Fu J, Zeng Z, Cohen D, Li J, Chen Q, Li B, Liu XS (2020) TIMER2.0 for analysis of tumor-infiltrating immune cells. Nucleic Acids Res 48(W1):W509-W514. https://doi.org/10.1093/nar/gkaa407
Han Y, Wang Y, Dong X, Sun D, Liu Z, Yue J, Wang H, Li T, Wang C (2023) TISCH2: expanded datasets and new tools for single-cell transcriptome analyses of the tumor microenvironment. Nucleic Acids Res 51(D1):D1425-d1431. https://doi.org/10.1093/nar/gkac959
Liu CJ, Hu FF, Xie GY, Miao YR, Li XW, Zeng Y, Guo AY (2023) GSCA: an integrated platform for gene set cancer analysis at genomic, pharmacogenomic and immunogenomic levels. Brief Bioinform 24(1):bbac558. https://doi.org/10.1093/bib/bbac558
Schubert M, Klinger B, Klünemann M, Sieber A, Uhlitz F, Sauer S, Garnett MJ, Blüthgen N, Saez-Rodriguez J (2018) Perturbation-response genes reveal signaling footprints in cancer gene expression. Nat Commun 9(1):20. https://doi.org/10.1038/s41467-017-02391-6
Yang W, Soares J, Greninger P, Edelman EJ, Lightfoot H, Forbes S, Bindal N, Beare D, Smith JA, Thompson IR, Ramaswamy S, Futreal PA, Haber DA, Stratton MR, Benes C, McDermott U, Garnett MJ (2013) Genomics of drug sensitivity in cancer (GDSC): a resource for therapeutic biomarker discovery in cancer cells. Nucleic Acids Res 41:D955-961. https://doi.org/10.1093/nar/gks1111
Newman AM, Liu CL, Green MR, Gentles AJ, Feng W, Xu Y, Hoang CD, Diehn M, Alizadeh AA (2015) Robust enumeration of cell subsets from tissue expression profiles. Nat Methods 12(5):453–457. https://doi.org/10.1038/nmeth.3337
Becht E, Giraldo NA, Lacroix L, Buttard B, Elarouci N, Petitprez F, Selves J, Laurent-Puig P, Sautès-Fridman C, Fridman WH, de Reyniès A (2016) Estimating the population abundance of tissue-infiltrating immune and stromal cell populations using gene expression. Genome Biol 17(1):218. https://doi.org/10.1186/s13059-016-1070-5
Aran D, Hu Z, Butte AJ (2017) xCell: digitally portraying the tissue cellular heterogeneity landscape. Genome Biol 18(1):220. https://doi.org/10.1186/s13059-017-1349-1
Finotello F, Mayer C, Plattner C, Laschober G, Rieder D, Hackl H, Krogsdam A, Loncova Z, Posch W, Wilflingseder D, Sopper S, Ijsselsteijn M, Brouwer TP, Johnson D, Xu Y, Wang Y, Sanders ME, Estrada MV, Ericsson-Gonzalez P, Charoentong P, Balko J, de Miranda N, Trajanoski Z (2019) Molecular and pharmacological modulators of the tumor immune contexture revealed by deconvolution of RNA-seq data. Genome Med 11(1):34. https://doi.org/10.1186/s13073-019-0638-6
Yoshihara K, Shahmoradgoli M, Martínez E, Vegesna R, Kim H, Torres-Garcia W, Treviño V, Shen H, Laird PW, Levine DA, Carter SL, Getz G, Stemke-Hale K, Mills GB, Verhaak RG (2013) Inferring tumour purity and stromal and immune cell admixture from expression data. Nat Commun 4:2612. https://doi.org/10.1038/ncomms3612
Jiang P, Gu S, Pan D, Fu J, Sahu A, Hu X, Li Z, Traugh N, Bu X, Li B, Liu J, Freeman GJ, Brown MA, Wucherpfennig KW, Liu XS (2018) Signatures of T cell dysfunction and exclusion predict cancer immunotherapy response. Nat Med 24(10):1550–1558. https://doi.org/10.1038/s41591-018-0136-1
Mariathasan S, Turley SJ, Nickles D, Castiglioni A, Yuen K, Wang Y, Kadel EE, Koeppen III, Astarita H, Cubas JL, Jhunjhunwala R, Banchereau S, Yang R, Guan Y, Chalouni Y, Ziai C, Şenbabaoğlu J, Santoro Y, Sheinson S, Hung D, Giltnane J, Pierce JM, Mesh AA, Lianoglou K, Riegler S, Carano J, Eriksson RAD, Höglund P, Somarriba M, Halligan L, van der Heijden DL, Loriot MS, Rosenberg Y, Fong JE, Mellman L, Chen I, Green DS, Derleth M, Fine C, Hegde GD, Bourgon PS, Powles R (2018) TGFβ attenuates tumour response to PD-L1 blockade by contributing to exclusion of T cells. Nature 554(7693):544–548. https://doi.org/10.1038/nature25501
Liu Z, Liu L, Weng S, Guo C, Dang Q, Xu H, Wang L, Lu T, Zhang Y, Sun Z, Han X (2022) Machine learning-based integration develops an immune-derived lncRNA signature for improving outcomes in colorectal cancer. Nat Commun 13(1):816. https://doi.org/10.1038/s41467-022-28421-6
Pinzi L, Rastelli G (2019) Molecular docking: shifting paradigms in drug discovery. Int J Mol Sci 20(18):4331. https://doi.org/10.3390/ijms20184331
Malfertheiner P, Camargo MC, El-Omar E, Liou JM, Peek R, Schulz C, Smith SI, Suerbaum S (2023) Helicobacter pylori infection. Nat Rev Dis Primers 9(1):19. https://doi.org/10.1038/s41572-023-00431-8
Wang L, Wang H (2023) The putative role of ferroptosis in gastric cancer: a review. Eur J Cancer Prev. https://doi.org/10.1097/cej.0000000000000817
Stevers LM, Sijbesma E, Botta M, MacKintosh C, Obsil T, Landrieu I, Cau Y, Wilson AJ, Karawajczyk A, Eickhoff J, Davis J, Hann M, O’Mahony G, Doveston RG, Brunsveld L, Ottmann C (2018) Modulators of 14-3-3 protein–protein interactions. J Med Chem 61(9):3755–3778. https://doi.org/10.1021/acs.jmedchem.7b00574
Zhang X, Zeng B, Wen C, Zheng S, Chen H, She F (2018) YWHAE is a novel interaction partner of Helicobacter pylori CagA. FEMS Microbiol Lett. https://doi.org/10.1093/femsle/fnx231
Guan WL, He Y, Xu RH (2023) Gastric cancer treatment: recent progress and future perspectives. J Hematol Oncol 16(1):57. https://doi.org/10.1186/s13045-023-01451-3
Khan S, Kellish P, Connis N, Thummuri D, Wiegand J, Zhang P, Zhang X, Budamagunta V, Hua N, Yang Y, De U, Jin L, Zhang W, Zheng G, Hromas R, Hann C, Zajac-Kaye M, Kaye FJ, Zhou D (2023) Co-targeting BCL-X(L) and MCL-1 with DT2216 and AZD8055 synergistically inhibit small-cell lung cancer growth without causing on-target toxicities in mice. Cell Death Discov 9(1):1. https://doi.org/10.1038/s41420-022-01296-8
Jeon YW, Kim OH, Shin JS, Hong HE, Kim CH, Kim SJ (2022) Potentiation of the anticancer effects by combining docetaxel with Ku-0063794 against triple-negative breast cancer cells. Cancer Res Treat 54(1):157–173. https://doi.org/10.4143/crt.2020.1063
Knight ZA, Gonzalez B, Feldman ME, Zunder ER, Goldenberg DD, Williams O, Loewith R, Stokoe D, Balla A, Toth B, Balla T, Weiss WA, Williams RL, Shokat KM (2006) A pharmacological map of the PI3-K family defines a role for p110alpha in insulin signaling. Cell 125(4):733–747. https://doi.org/10.1016/j.cell.2006.03.035
Novotná E, Büküm N, Hofman J, Flaxová M, Kouklíková E, Louvarová D, Wsól V (2018) Roscovitine and purvalanol a effectively reverse anthracycline resistance mediated by the activity of aldo-keto reductase 1C3 (AKR1C3): a promising therapeutic target for cancer treatment. Biochem Pharmacol 156:22–31. https://doi.org/10.1016/j.bcp.2018.08.001
Hanahan D, Coussens LM (2012) Accessories to the crime: functions of cells recruited to the tumor microenvironment. Cancer Cell 21(3):309–322. https://doi.org/10.1016/j.ccr.2012.02.022
Fu W, Hu W, Yi YS, Hettinghouse A, Sun G, Bi Y, He W, Zhang L, Gao G, Liu J, Toyo-Oka K, Xiao G, Solit DB, Loke P, Liu CJ (2021) TNFR2/14-3-3ε signaling complex instructs macrophage plasticity in inflammation and autoimmunity. J Clin Invest 131(16):e144016. https://doi.org/10.1172/jci144016
Millerand M, Sudre L, Nefla M, Pène F, Rousseau C, Pons A, Ravat A, André-Leroux G, Akira S, Satoh T, Berenbaum F, Jacques C (2020) Activation of innate immunity by 14-3-3 ε, a new potential alarmin in osteoarthritis. Osteoarthr Cartil 28(5):646–657. https://doi.org/10.1016/j.joca.2020.03.002
Acknowledgements
We appreciate the Science and Technology Projects of Jiangxi Province and the TCGA database.
Funding
This research was funded by the National Natural Science Foundation of China (Grant Nos.82270593, 82200628).
Author information
Authors and Affiliations
Contributions
YX designed the study. DL performed data analysis, graphing and writing. JP and JX helped modify the article and supervise the study. All authors read and approved the final manuscript.
Corresponding author
Ethics declarations
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Ethical approval
The study was approved by The First Affiliated Hospital of Nanchang University Ethics Committee on Medical Research.
Additional information
Publisher’s Note
Springer nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary Information
Below is the link to the electronic supplementary material.
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
Liu, D., Peng, J., Xie, J. et al. Comprehensive analysis of the function of helicobacter-associated ferroptosis gene YWHAE in gastric cancer through multi-omics integration, molecular docking, and machine learning. Apoptosis 29, 439–456 (2024). https://doi.org/10.1007/s10495-023-01916-3
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10495-023-01916-3