DZIP1 Expression as a Prognostic Marker in Gastric Cancer: A Bioinformatics-Based Analysis

References

• Smyth EC, Nilsson M, Grabsch HI, van Grieken NC, Lordick F. Gastric cancer. Lancet. 2020;396(10251):635–648. doi:10.1016/s0140-6736(20)31288-5
   PubMed Web of Science ®Google Scholar
• Drilon A, Siena S, Dziadziuszko R. Correction to Lancet Oncol. Lancet Oncol. 2020;21(6):e304. doi:10.1016/s1470-2045(20)30267-9
   Google Scholar
• Bray F, Ferlay J, Soerjomataram I, et al. Erratum: global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2020;70(4):313. doi:10.3322/caac.21609
   Web of Science ®Google Scholar
• Latest global cancer data: cancer burden rises to 19.3 million new cases and 10.0 million cancer deaths in 2020. Available from: https://www.iarc.who.int/faq/latest-global-cancer-data-2020-qa/. Accessed September 1, 2021.
   Google Scholar
• Moore FL, Jaruzelska J, Dorfman DM, Reijo-Pera RA. Identification of a novel gene, DZIP (DAZ-interacting protein), that encodes a protein that interacts with DAZ (deleted in azoospermia) and is expressed in embryonic stem cells and germ cells. Genomics. 2004;83(5):834–843. doi:10.1016/j.ygeno.2003.11.005
   Web of Science ®Google Scholar
• Shigunov P, Sotelo-Silveira J, Stimamiglio MA, et al. Ribonomic analysis of human DZIP1 reveals its involvement in ribonucleoprotein complexes and stress granules. BMC Mol Biol. 2014;15:12. doi:10.1186/1471-2199-15-12
   PubMed Web of Science ®Google Scholar
• Zhang B, Zhang T, Wang G, et al. GSK3β-Dzip1-Rab8 cascade regulates ciliogenesis after mitosis. PLoS Biol. 2015;13(4):e1002129. doi:10.1371/journal.pbio.1002129
   PubMed Web of Science ®Google Scholar
• Zhang B, Wang G, Xu X, et al. DAZ-interacting Protein 1 (Dzip1) Phosphorylation by Polo-like Kinase 1 (Plk1) Regulates the Centriolar Satellite Localization of the BBSome Protein during the Cell Cycle. J Biol Chem. 2017;292(4):1351–1360. doi:10.1074/jbc.M116.765438
   Web of Science ®Google Scholar
• Liang T, Zhou X, Li P, et al. DZIP3 is a key factor to stratify IDH1 wild-type lower-grade gliomas. Aging (Albany NY). 2020;12(24):24995–25004. doi:10.18632/aging.103817
   Google Scholar
• Kolapalli SP, Sahu R, Chauhan NR, et al. RNA-Binding RING E3-Ligase DZIP3/hRUL138 Stabilizes Cyclin D1 to Drive Cell-Cycle and Cancer Progression. Cancer Res. 2021;81(2):315–331. doi:10.1158/0008-5472.Can-20-1871
   PubMed Web of Science ®Google Scholar
• Rhodes DR, Yu J, Shanker K, et al. ONCOMINE: a cancer microarray database and integrated data-mining platform. Neoplasia. 2004;6(1):1–6. doi:10.1016/s1476-5586(04)80047-2
   PubMed Web of Science ®Google Scholar
• Pan JH, Zhou H, Cooper L, et al. LAYN is a prognostic biomarker and correlated with immune infiltrates in gastric and colon cancers. Front Immunol. 2019;10:6. doi:10.3389/fimmu.2019.00006
   PubMed Web of Science ®Google Scholar
• GSE118916. Available from: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE118919. Accessed September 1, 2021.
   Google Scholar
• GSE13861. Available from: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi. Accessed September 1, 2021.
   Google Scholar
• GSE29272. Available from: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE29272. Accessed September 1, 2021.
   Google Scholar
• Coletta S, Salvi V, Della Bella C, et al. The immune receptor CD300e negatively regulates T cell activation by impairing the STAT1-dependent antigen presentation. Sci Rep. 2020;10(1):16501. doi:10.1038/s41598-020-73552-9
   Web of Science ®Google Scholar
• Edge SB, Compton CC. The American Joint Committee on Cancer: the 7th edition of the AJCC cancer staging manual and the future of TNM. Ann Surg Oncol. 2010;17(6):1471–1474. doi:10.1245/s10434-010-0985-4
   PubMed Web of Science ®Google Scholar
• Yu B, Zhang Y, Wu K, et al. CD147 promotes progression of head and neck squamous cell carcinoma via NF-kappa B signaling. J Cell Mol Med. 2019;23(2):954–966. doi:10.1111/jcmm.13996
   Web of Science ®Google Scholar
• Yuan Y, Liao H, Pu Q, et al. miR-410 induces both epithelial-mesenchymal transition and radioresistance through activation of the PI3K/mTOR pathway in non-small cell lung cancer. Signal Transduct Target Ther. 2020;5(1):85. doi:10.1038/s41392-020-0182-2
   PubMed Web of Science ®Google Scholar
• Tang Z, Li C, Kang B, Gao G, Li C, Zhang Z. GEPIA: a web server for cancer and normal gene expression profiling and interactive analyses. Nucleic Acids Res. 2017;45(W1):W98–w102. doi:10.1093/nar/gkx247
   PubMed Web of Science ®Google Scholar
• Sun CC, Li SJ, Hu W, et al. Comprehensive analysis of the expression and prognosis for E2Fs in human breast cancer. Mol Ther. 2019;27(6):1153–1165. doi:10.1016/j.ymthe.2019.03.019
   PubMed Web of Science ®Google Scholar
• Wang Z, Jensen MA, Zenklusen JC. A practical guide to the cancer genome atlas (TCGA). Methods Mol Biol. 2016;1418:111–141. doi:10.1007/978-1-4939-3578-9_6
   PubMedGoogle Scholar
• Chandrashekar DS, Bashel B, Balasubramanya SAH, et al. UALCAN: a portal for facilitating tumor subgroup gene expression and survival analyses. Neoplasia. 2017;19(8):649–658. doi:10.1016/j.neo.2017.05.002
   PubMed Web of Science ®Google Scholar
• Gao J, Aksoy BA, Dogrusoz U, et al. Integrative analysis of complex cancer genomics and clinical profiles using the cBioPortal. Sci Signal. 2013;6(269):pl1. doi:10.1126/scisignal.2004088
   PubMed Web of Science ®Google Scholar
• Del-Toro N, Duesbury M, Koch M, et al. Capturing variation impact on molecular interactions in the IMEx Consortium mutations data set. Nat Commun. 2019;10(1):10. doi:10.1038/s41467-018-07709-6
   Web of Science ®Google Scholar
• Xia J, Gill EE, Hancock RE. NetworkAnalyst for statistical, visual and network-based meta-analysis of gene expression data. Nat Protoc. 2015;10(6):823–844. doi:10.1038/nprot.2015.052
   PubMed Web of Science ®Google Scholar
• Zhou Y, Zhou B, Pache L, et al. Metascape provides a biologist-oriented resource for the analysis of systems-level datasets. Nat Commun. 2019;10(1):1523. doi:10.1038/s41467-019-09234-6
   PubMed Web of Science ®Google Scholar
• Subramanian A, Tamayo P, Mootha VK, et al. Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles. Proc Natl Acad Sci U S A. 2005;102(43):15545–15550. doi:10.1073/pnas.0506580102
   PubMed Web of Science ®Google Scholar
• Koch A, Jeschke J, Van Criekinge W, van Engeland M, De Meyer T. MEXPRESS update 2019. Nucleic Acids Res. 2019;47(W1):W561–w565. doi:10.1093/nar/gkz445
   PubMed Web of Science ®Google Scholar
• Modhukur V, Iljasenko T, Metsalu T, Lokk K, Laisk-Podar T, Vilo J. MethSurv: a web tool to perform multivariable survival analysis using DNA methylation data. Epigenomics. 2018;10(3):277–288. doi:10.2217/epi-2017-0118
   PubMed Web of Science ®Google Scholar
• Li M, Zou D, Li Z, et al. EWAS Atlas: a curated knowledgebase of epigenome-wide association studies. Nucleic Acids Res. 2019;47(D1):D983–d988. doi:10.1093/nar/gky1027
   PubMed Web of Science ®Google Scholar
• Prior IA, Hood FE, Hartley JL. The frequency of ras mutations in cancer. Cancer Res. 2020;80(14):2969–2974. doi:10.1158/0008-5472.Can-19-3682
   PubMed Web of Science ®Google Scholar
• Nizioł M, Zińczuk J, Zaręba K, Guzińska-Ustymowicz K, Pryczynicz A. Immunohistochemical analysis of the expression of adhesion proteins: TNS1, TNS2 and TNS3 in correlation with clinicopathological parameters in gastric cancer. Biomolecules. 2021;11(5):640. doi:10.3390/biom11050640
   Web of Science ®Google Scholar
• Singh H, Lane AA, Correll M, et al. Putative RNA-splicing gene LUC7L2 on 7q34 represents a candidate gene in pathogenesis of myeloid malignancies. Blood Cancer J. 2013;3(5):e117. doi:10.1038/bcj.2013.16
   Web of Science ®Google Scholar
• Oleksiewicz U, Liloglou T, Tasopoulou KM, et al. COL1A1, PRPF40A, and UCP2 correlate with hypoxia markers in non-small cell lung cancer. J Cancer Res Clin Oncol. 2017;143(7):1133–1141. doi:10.1007/s00432-017-2381-y
   PubMed Web of Science ®Google Scholar
• Mao Z, Liu C, Lin X, Sun B, Su C. PPP2R5A: a multirole protein phosphatase subunit in regulating cancer development. Cancer Lett. 2018;414:222–229. doi:10.1016/j.canlet.2017.11.024
   Web of Science ®Google Scholar
• Meng L, Wang M, Du Z, et al. Cell signaling pathway in 12-O-tetradecanoylphorbol-13-acetate-induced LCN2 gene transcription in esophageal squamous cell carcinoma. Biomed Res Int. 2017;2107:9592501. doi:10.1155/2017/9592501.
   Web of Science ®Google Scholar
• Arnold CR, Lamont RE, Walker JT, et al. Comparative analysis of genes regulated by Dzip1/iguana and hedgehog in zebrafish. Dev Dyn. 2015;244(2):211–223. doi:10.1002/dvdy.24237
   Web of Science ®Google Scholar
• Erin N, Grahovac J, Brozovic A, Efferth T. Tumor microenvironment and epithelial mesenchymal transition as targets to overcome tumor multidrug resistance. Drug Resist Updat. 2020;53(100715). doi:10.1016/j.drup.2020.100715
   Web of Science ®Google Scholar
• Morgan AE, Davies TJ, Mc Auley MT. The role of DNA methylation in ageing and cancer. Proc Nutr Soc. 2018;77(4):412–422. doi:10.1017/s0029665118000150
   PubMed Web of Science ®Google Scholar
• Jones PA. Functions of DNA methylation: islands, start sites, gene bodies and beyond. Nat Rev Genet. 2012;13(7):484–492. doi:10.1038/nrg3230
   PubMed Web of Science ®Google Scholar
• Gonzalez DM, Medici D. Signaling mechanisms of the epithelial-mesenchymal transition. Sci Signal. 2014;7(344):re8. doi:10.1126/scisignal.2005189
   PubMed Web of Science ®Google Scholar
• Hu A, Song BL. The interplay of Patched, Smoothened and cholesterol in Hedgehog signaling. Curr Opin Cell Biol. 2019;61:31–38. doi:10.1016/j.ceb.2019.06.008
   Web of Science ®Google Scholar