Biomarkers Associated with Immune Checkpoint, N6-Methyladenosine, and Ferroptosis in Patients with Restenosis

References

• Schweizer W. [Editorial: acute coronary heart disease: definition and nomenclature (author’s transl)]. Schweiz Rundsch Med Prax. 1975;64:829–830. German.
   PubMedGoogle Scholar
• Her A, Shin E. Current management of in-stent restenosis. Korean Circ J. 2018;48:337–349. doi:10.4070/kcj.2018.0103
   PubMed Web of Science ®Google Scholar
• Li T, Zeng Z. Adiponectin as a potential therapeutic target for the treatment of restenosis. pharmacotherapie. 2018;101:798–804. doi:10.1016/j.biopha.2018.03.003
   PubMed Web of Science ®Google Scholar
• Stimpfle F, Bauer M, Rath D, et al. Variants of PEAR1 are associated with outcome in patients with ACS and stable CAD undergoing PCI. Front Pharmacol. 2018;9:490. doi:10.3389/fphar.2018.00490
   PubMed Web of Science ®Google Scholar
• Alfonso F, Byrne R, Rivero F, Kastrati A. Current treatment of in-stent restenosis. J Am Coll Cardiol. 2014;63:2659–2673. doi:10.1016/j.jacc.2014.02.545
   PubMed Web of Science ®Google Scholar
• Nichols M, Townsend N, Scarborough P, Rayner M. Cardiovascular disease in Europe 2014: epidemiological update. Eur Heart J. 2014;35:2950–2959. doi:10.1093/eurheartj/ehu299
   PubMed Web of Science ®Google Scholar
• Avci II, Sahin I, Gungor B, et al. Association of monocyte to high-density lipoprotein ratio with bare-metal stent restenosis in STEMI patients treated with primary PCI. North Clin Istanb. 2019;6(4):393–400. doi:10.14744/nci.2018.93653
   PubMed Web of Science ®Google Scholar
• Law M, Watt H, Wald N. The underlying risk of death after myocardial infarction in the absence of treatment. Arch Intern Med. 2002;162:2405–2410. doi:10.1001/archinte.162.21.2405
   PubMedGoogle Scholar
• Zhao E, Zhou C, Chen S. A signature of 14 immune-related gene pairs predicts overall survival in gastric cancer. Clin Transl Oncol. 2021;23:265–274. doi:10.1007/s12094-020-02414-7
   PubMed Web of Science ®Google Scholar
• Cao Y, Tang W, Tang W. Immune cell infiltration characteristics and related core genes in lupus nephritis: results from bioinformatic analysis. BMC Immunol. 2019;20:37. doi:10.1186/s12865-019-0316-x
   PubMed Web of Science ®Google Scholar
• Zhao E, Zhou C, Chen S. Flap endonuclease 1 (FEN1) as a novel diagnostic and prognostic biomarker for gastric cancer. Clin Res Hepatol Gastroenterol. 2021;45:101455. doi:10.1016/j.clinre.2020.04.019
   PubMed Web of Science ®Google Scholar
• Zhao E, Bai X. Nomogram based on microRNA signature contributes to improve survival prediction of clear cell renal cell carcinoma. Biomed Res Int. 2020;2020:7434737. doi:10.1155/2020/7434737
   PubMed Web of Science ®Google Scholar
• Chen A, Gao X, Wang Z, et al. Therapeutic exosomes in prognosis and developments of coronary artery disease. Front Cardiovasc Med. 2021;8:691548. doi:10.3389/fcvm.2021.691548
   PubMed Web of Science ®Google Scholar
• Wu Y, Fu X. Comprehensive analysis of predictive factors for rapid angiographic stenotic progression and restenosis risk in coronary artery disease patients underwent percutaneous coronary intervention with drug-eluting stents implantation. J Clin Lab Anal. 2019;33:e22666. doi:10.1002/jcla.22666
   PubMed Web of Science ®Google Scholar
• Sun J, Yu H, Liu H, et al. Correlation of pre-operative circulating inflammatory cytokines with restenosis and rapid angiographic stenotic progression risk in coronary artery disease patients underwent percutaneous coronary intervention with drug-eluting stents. J Clin Lab Anal. 2020;34(3):e23108. doi:10.1002/jcla.23108
   PubMed Web of Science ®Google Scholar
• Meeuwsen J, Wesseling M, Hoefer I, de Jager S. Prognostic value of circulating inflammatory cells in patients with stable and acute coronary artery disease. Front Cardiovasc Med. 2017;4:44. doi:10.3389/fcvm.2017.00044
   PubMed Web of Science ®Google Scholar
• Schiele T. Current understanding of coronary in-stent restenosis. Pathophysiology, clinical presentation, diagnostic work-up, and management. Z Kardiol. 2005;94:772–790. doi:10.1007/s00392-005-0299-x
   PubMedGoogle Scholar
• Iwashima Y, Fukuda T, Yoshihara F, et al. Incidence and risk factors for restenosis, and its impact on blood pressure control after percutaneous transluminal renal angioplasty in hypertensive patients with renal artery stenosis. J Hypertens. 2016;34:1407–1415. doi:10.1097/HJH.0000000000000928
   PubMed Web of Science ®Google Scholar
• Zeller T, Rastan A, Macharzina R, Beschorner U, Noory E. Novel approaches to the management of advanced peripheral artery disease: perspectives on drug-coated balloons, drug-eluting stents, and bioresorbable scaffolds. Curr Cardiol Rep. 2015;17:624. doi:10.1007/s11886-015-0624-6
   PubMed Web of Science ®Google Scholar
• Park D, Ahn J, Park H, et al. Ten-year outcomes after drug-eluting stents versus coronary artery bypass grafting for left main coronary disease: extended follow-up of the PRECOMBAT trial. Circulation. 2020;141:1437–1446. doi:10.1161/circulationaha.120.046039
   PubMed Web of Science ®Google Scholar
• Barrett T, Wilhite S, Ledoux P, et al. NCBI GEO: archive for functional genomics data sets--update. Nucleic Acids Res. 2013;41:D991–995. doi:10.1093/nar/gks1193
   PubMed Web of Science ®Google Scholar
• Gene Ontology Consortium. The Gene Ontology (GO) project in 2006. Nucleic Acids Res. 2006;34:D322–326. doi:10.1093/nar/gkj021
   PubMed Web of Science ®Google Scholar
• Kanehisa M, Sato Y, Kawashima M, Furumichi M, Tanabe M. KEGG as a reference resource for gene and protein annotation. Nucleic Acids Res. 2016;44:D457–462. doi:10.1093/nar/gkv1070
   PubMed Web of Science ®Google Scholar
• Szklarczyk D, Gable A, Lyon D, et al. STRING v11: protein-protein association networks with increased coverage, supporting functional discovery in genome-wide experimental datasets. Nucleic Acids Res. 2019;47:D607–D613. doi:10.1093/nar/gky1131
   PubMed Web of Science ®Google Scholar
• Shannon P, Markiel A, Ozier O, et al. Cytoscape: a software environment for integrated models of biomolecular interaction networks. Genome Res. 2003;13:2498–2504. doi:10.1101/gr.1239303
   PubMed Web of Science ®Google Scholar
• Hoadley K, Yau C, Wolf D, et al. Multiplatform analysis of 12 cancer types reveals molecular classification within and across tissues of origin. J Cell. 2014;158:929–944. doi:10.1016/j.cell.2014.06.049
   PubMed Web of Science ®Google Scholar
• Iglesia M, Parker J, Hoadley K, Serody J, Perou C, Vincent B. Genomic analysis of immune cell infiltrates across 11 tumor types. J Natl Cancer Inst. 2016;108:djw144. doi:10.1093/jnci/djw144
   PubMedGoogle Scholar
• Koh Y, Han J, Haam S, Jung J, Lee H. Increased CMTM6 can predict the clinical response to PD-1 inhibitors in non-small cell lung cancer patients. J Oncoimmunol. 2019;8:e1629261. doi:10.1080/2162402x.2019.1629261
   PubMed Web of Science ®Google Scholar
• Yi L, Wu G, Guo L, Zou X, Huang P. Comprehensive analysis of the PD-L1 and immune infiltrates of mA RNA methylation regulators in head and neck squamous cell carcinoma. Mol Ther Nucleic Acids. 2020;21:299–314. doi:10.1016/j.omtn.2020.06.001
   PubMedGoogle Scholar
• Yu G, Wang L, Han Y, He Q. clusterProfiler: an R package for comparing biological themes among gene clusters. OMICS. 2012;16:284–287. doi:10.1089/omi.2011.0118
   PubMed Web of Science ®Google Scholar
• Li L, Guo L, Yin G, et al. Upregulation of circular RNA circ_0001721 predicts unfavorable prognosis in osteosarcoma and facilitates cell progression via sponging miR-569 and miR-599. pharmacotherapie. 2019;109:226–232. doi:10.1016/j.biopha.2018.10.072
   PubMed Web of Science ®Google Scholar
• Liu Z, Zhao Q, Zuo ZX, et al. Systematic analysis of the aberrances and functional implications of ferroptosis in cancer. iScience. 2020;23:101302. doi:10.1016/j.isci.2020.101302
   PubMed Web of Science ®Google Scholar
• Li Y, Xiao J, Bai J, et al. Molecular characterization and clinical relevance of m(6)A regulators across 33 cancer types. Mol Cancer. 2019;18:137. doi:10.1186/s12943-019-1066-3
   PubMed Web of Science ®Google Scholar
• Zeng D, Li M, Zhou R, et al. Tumor microenvironment characterization in gastric cancer identifies prognostic and immunotherapeutically relevant gene signatures. Cancer Immunol Res. 2019;7:737–750. doi:10.1158/2326-6066.CIR-18-0436
   PubMed Web of Science ®Google Scholar
• Wang J, Sun J, Liu LN, et al. Siglec-15 as an immune suppressor and potential target for normalization cancer immunotherapy. Nat Med. 2019;25:656–666. doi:10.1038/s41591-019-0374-x
   PubMed Web of Science ®Google Scholar
• Vom Dahl J, Dietz U, Haager PK, et al. Rotational atherectomy does not reduce recurrent in-stent restenosis: results of the angioplasty versus rotational atherectomy for treatment of diffuse in-stent restenosis trial (ARTIST). Circulation. 2002;105:583–588. doi:10.1161/hc0502.103347
   PubMed Web of Science ®Google Scholar
• Cassese S, Byrne RA, Tada T, et al. Incidence and predictors of restenosis after coronary stenting in 10 004 patients with surveillance angiography. Heart. 2014;100:153–159. doi:10.1136/heartjnl-2013-304933
   PubMed Web of Science ®Google Scholar
• Cassese S, Kufner S, Xhepa E, et al. Three-year efficacy and safety of new- versus early-generation drug-eluting stents for unprotected left main coronary artery disease insights from the ISAR-LEFT MAIN and ISAR-LEFT MAIN 2 trials. Clin Res Cardiol. 2016;105:575–584. doi:10.1007/s00392-015-0953-x
   PubMed Web of Science ®Google Scholar
• Yang X, Yang Y, Guo J, et al. Targeting the epigenome in in-stent restenosis: from mechanisms to therapy. Mol Ther Nucleic Acids. 2021;23:1136–1160. doi:10.1016/j.omtn.2021.01.024
   PubMedGoogle Scholar
• Liu TF, Lin T, Ren LH, Li GP, Peng JJ. [Association of CMTM5 gene expression with the risk of in-stent restenosis in patients with coronary artery disease after drug-eluting stent implantation and the effects and mechanisms of CMTM5 on human vascular endothelial cells]. Beijing Da Xue Xue Bao Yi Xue Ban. 2020;52:856–862. Chinese. doi:10.19723/j.issn.1671-167X.2020.05.010
   PubMedGoogle Scholar
• Li Z, Wu J, Wei W, et al. Association of serum miR-186-5p with the prognosis of acute coronary syndrome patients after percutaneous coronary intervention. Front Physiol. 2019;10:686. doi:10.3389/fphys.2019.00686
   PubMed Web of Science ®Google Scholar
• Li L, Cong Y, Gao X, Wang Y, Lin P. Differential expression profiles of long non-coding RNAs as potential biomarkers for the early diagnosis of acute myocardial infarction. Oncotarget. 2017;8:88613–88621. doi:10.18632/oncotarget.20101
   PubMedGoogle Scholar
• Chen DQ, Kong XS, Shen XB, et al. Identification of differentially expressed genes and signaling pathways in acute myocardial infarction based on integrated bioinformatics analysis. Cardiovasc Ther. 2019;2019:8490707. doi:10.1155/2019/8490707
   PubMed Web of Science ®Google Scholar
• Han H, Du R, Cheng P, Zhang J, Chen Y, Li G. Comprehensive analysis of the immune infiltrates and aberrant pathways activation in atherosclerotic plaque. Front Cardiovasc Med. 2020;7:602345. doi:10.3389/fcvm.2020.602345
   PubMed Web of Science ®Google Scholar
• Ghafouri-Fard S, Gholipour M, Taheri M. Role of MicroRNAs in the pathogenesis of coronary artery disease. Front Cardiovasc Med. 2021;8:632392. doi:10.3389/fcvm.2021.632392
   PubMed Web of Science ®Google Scholar
• Scicchitano P, Marzullo A, Santoro A, et al. The prognostic role of ST2L and sST2 in patients who underwent carotid plaque endarterectomy: a five-year follow-up study. J Clin Med. 2022;11(11). doi:10.3390/jcm11113142
   PubMed Web of Science ®Google Scholar
• Hayiroglu MI, Cinar T, Cicek V, et al. A simple formula to predict echocardiographic diastolic dysfunction-electrocardiographic diastolic index. Herz. 2021;46(Suppl2):159–165. doi:10.1007/s00059-020-04972-6
   PubMedGoogle Scholar
• Ghafouri-Fard S, Gholipour M, Taheri M. The emerging role of long non-coding RNAs and circular RNAs in coronary artery disease. Front Cardiovasc Med. 2021;8:632393. doi:10.3389/fcvm.2021.63239349
   PubMedGoogle Scholar
• Cheng DD, Li SJ, Zhu B, Zhou SM, Yang QC. EEF1D overexpression promotes osteosarcoma cell proliferation by facilitating Akt-mTOR and Akt-bad signaling. J Exp Clin Cancer Res. 2018;37:50. doi:10.1186/s13046-018-0715-5
   PubMed Web of Science ®Google Scholar
• DiGiacomo V, Meruelo D. Looking into laminin receptor: critical discussion regarding the non-integrin 37/67-kDa laminin receptor/RPSA protein. Biol Rev Camb Philos Soc. 2016;91:288–310. doi:10.1111/brv.12170
   PubMed Web of Science ®Google Scholar
• Chen M, Wei L, Law CT, et al. RNA N6-methyladenosine methyltransferase-like 3 promotes liver cancer progression through YTHDF2-dependent posttranscriptional silencing of SOCS2. Hepatology. 2018;67:2254–2270. doi:10.1002/hep.29683
   PubMed Web of Science ®Google Scholar
• Fei Q, Zou Z, Roundtree IA, Sun HL, He C. YTHDF2 promotes mitotic entry and is regulated by cell cycle mediators. PLoS Biol. 2020;18:e3000664. doi:10.1371/journal.pbio.3000664
   PubMed Web of Science ®Google Scholar
• Miyake S, Wakita H, Bernstock JD, et al. Hypophosphorylation of ribosomal protein S6 is a molecular mechanism underlying ischemic tolerance induced by either hibernation or preconditioning. J Neurochem. 2015;135:943–957. doi:10.1111/jnc.13368
   PubMed Web of Science ®Google Scholar
• Hou J, Zhang H, Liu J, et al. YTHDF2 reduction fuels inflammation and vascular abnormalization in hepatocellular carcinoma. Mol Cancer. 2019;18:163. doi:10.1186/s12943-019-1082-3
   PubMed Web of Science ®Google Scholar
• Li J, Xie H, Ying Y, et al. YTHDF2 mediates the mRNA degradation of the tumor suppressors to induce AKT phosphorylation in N6-methyladenosine-dependent way in prostate cancer. Mol Cancer. 2020;19:152. doi:10.1186/s12943-020-01267-6
   PubMed Web of Science ®Google Scholar
• Shen X, Zhao K, Xu L, et al. YTHDF2 inhibits gastric cancer cell growth by regulating FOXC2 signaling pathway. Front Genet. 2020;11:592042. doi:10.3389/fgene.2020.592042
   PubMed Web of Science ®Google Scholar
• Xu F, Li J, Ni M, et al. FBW7 suppresses ovarian cancer development by targeting the N(6)-methyladenosine binding protein YTHDF2. Mol Cancer. 2021;20:45. doi:10.1186/s12943-021-01340-8
   PubMed Web of Science ®Google Scholar
• Vilas-Boas F, Bagulho A, Tenente R, et al. Hydrogen peroxide regulates cell adhesion through the redox sensor RPSA. Free Radic Biol Med. 2016;90:145–157. doi:10.1016/j.freeradbiomed.2015.11.019
   PubMed Web of Science ®Google Scholar
• Song M, Jung C, Park C, et al. RPL36 as a prognostic marker in hepatocellular carcinoma. Pathol Int. 2011;61:638–644. doi:10.1111/j.1440-1827.2011.02716.x
   PubMed Web of Science ®Google Scholar