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2000
Volume 21, Issue 7
  • ISSN: 1573-4099
  • E-ISSN: 1875-6697

Abstract

Background

MicroRNA-584-5p (miR-584-5p) plays an important role in certain types of cancer. However, its precise role in head and neck squamous cell carcinoma (HNSC) remains unknown.

Objective

Our aim was to investigate how miR-584-5p influences HNSC.

Methods

The Cancer Genome Atlas (TCGA) provided samples for the study. We use statistical methods to evaluate the diagnostic value, the prognostic value, and the correlation with the clinical features of miR-584-5p. We analyze the target genes and the regulatory network of miR-584-5p. Quantitative reverse transcriptase PCR (qRT-PCR) confirmed the expression of miR-584-5p in HNSC cell lines.

Results

MiR-584-5p expression of miR-584-5p varied significantly among different types of cancer. A notable correlation was observed between elevated miR-584-5p expression and gender ( < 0.001) and histological grade ( < 0.001). Furthermore, high levels of miR-584-5p were found to be associated with a decrease in overall survival (HR: 1.44; 95% CI: 1.10-1.88; = 0.007), progression-free survival (HR: 1.35; 95% CI: 1.02-1.79; = 0.035) and disease-specific survival (HR: 1.54; 95% CI: 1.09-2.18; = 0.016) in the context of HNSC. miR-584-5p demonstrated independent prognostic significance in HNSC and potentially contributes to disease progression through multiple pathways, such as dilated cardiomyopathy and hypertrophic cardiomyopathy. In particular, HNSC cell lines exhibited a substantial upregulation of miR-584-5p compared to normal epithelial cells.

Conclusion

It is possible that miR-584-5p could serve as a promising patent for a therapeutic target and prognostic biomarker for people with HNSC.

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References

  1. SungH. FerlayJ. SiegelR.L. LaversanneM. SoerjomataramI. JemalA. BrayF. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries.CA Cancer J. Clin.202171320924910.3322/caac.21660 33538338
    [Google Scholar]
  2. AlterioD. MarvasoG. FerrariA. VolpeS. OrecchiaR. Jereczek-FossaB.A. Modern radiotherapy for head and neck cancer.Semin. Oncol.201946323324510.1053/j.seminoncol.2019.07.002 31378376
    [Google Scholar]
  3. VartanianJ.G. GrossJ.L. KowalskiL.P. Distant metastasis from head and neck cancer: role of surgical treatment.Curr. Opin. Otolaryngol. Head Neck Surg.202230211411810.1097/MOO.0000000000000789 35255047
    [Google Scholar]
  4. Gebre-MedhinM. BrunE. EngströmP. Haugen CangeH. Hammarstedt-NordenvallL. ReizensteinJ. NymanJ. AbelE. FrieslandS. SjödinH. CarlssonH. SöderkvistK. ThomassonM. ZackrissonB. NilssonP. ARTSCAN III: A randomized phase III study comparing chemoradiotherapy with cisplatin versus cetuximab in patients with locoregionally advanced head and neck squamous cell cancer.J. Clin. Oncol.2021391384710.1200/JCO.20.02072 33052757
    [Google Scholar]
  5. YanK. AgrawalN. GooiZ. Head and neck masses.Med. Clin. North Am.201810261013102510.1016/j.mcna.2018.06.012 30342605
    [Google Scholar]
  6. JohnsonD.E. BurtnessB. LeemansC.R. LuiV.W.Y. BaumanJ.E. GrandisJ.R. Head and neck squamous cell carcinoma.Nat. Rev. Dis. Primers2020619210.1038/s41572‑020‑00224‑3 33243986
    [Google Scholar]
  7. LiM. NurzatY. HuangH. MinP. ZhangX. Cuproptosis-related LncRNAs are correlated with immunity and predict prognosis in HNSC independent of TMB.Front. Genet.202314102804410.3389/fgene.2023.1028044 36816017
    [Google Scholar]
  8. WangZ. GuanW. MaY. ZhouX. SongG. WeiJ. WangC. MicroRNA-191 regulates oral squamous cell carcinoma cells growth by targeting PLCD1 via the Wnt/β-catenin signaling pathway.BMC Cancer202323166810.1186/s12885‑023‑11113‑9 37460940
    [Google Scholar]
  9. QiangH. ZhanX. WangW. ChengZ. MaS. JiangC. A study on the correlations of the mir-31 expression with the pathogenesis and prognosis of head and neck squamous cell carcinoma.Cancer Biother. Radiopharm.201934318919510.1089/cbr.2018.2621 30628842
    [Google Scholar]
  10. LuS. ZhouC. ZouB. ZhangH. FengM. MiR-4295 facilitates cell proliferation and metastasis in head and neck squamous cell carcinoma by targeting NPTX1.Genes Immun.202021141210.1038/s41435‑019‑0081‑0 31118494
    [Google Scholar]
  11. ZhangX.J. JinY. SongJ.L. DengF. MiR-373 promotes proliferation and metastasis of oral squamous cell carcinoma by targeting SPOP.Eur. Rev. Med. Pharmacol. Sci.2019231252705276 31298378
    [Google Scholar]
  12. WangH. ZhouZ. LinW. QianY. HeS. WangJ. MicroRNA-21 promotes head and neck squamous cell carcinoma (HNSCC) induced transition of bone marrow mesenchymal stem cells to cancer-associated fibroblasts.BMC Cancer2023231113510.1186/s12885‑023‑11630‑7 37993769
    [Google Scholar]
  13. WangQ.W. SunY.N. TanL.J. ZhaoJ.N. ZhouX.J. YuT.J. LiuJ.T. RETRACTED ARTICLE: MiR-125 family improves the radiosensitivity of head and neck squamous cell carcinoma.Mol. Biol. Rep.20235065307531710.1007/s11033‑023‑08364‑x 37155009
    [Google Scholar]
  14. ShenM. ZhouZ. LiB. LvM. FengC. ChenS. ShiS. KangM. ZhaoT. Investigation of miR-21-5p key target genes and pathways in head and neck squamous cell carcinoma based on tcga database and bioinformatics analysis.Technol. Cancer Res. Treat.20222110.1177/15330338221081245 35235474
    [Google Scholar]
  15. WeiH. WangJ. XuZ. LuY. WuX. ZhuoC. TanC. TangQ. PuJ. miR‐584‐5p regulates hepatocellular carcinoma cell migration and invasion through targeting KCNE2.Mol. Genet. Genomic Med.201976e70210.1002/mgg3.702 31044566
    [Google Scholar]
  16. LiQ. LiZ. WeiS. WangW. ChenZ. ZhangL. Overexpression of miR-584-5p inhibits proliferation and induces apoptosis by targeting WW domain-containing E3 ubiquitin protein ligase 1 in gastric cancer. Journal of experimental & clinical cancer research.CR (East Lansing Mich.)201736159
    [Google Scholar]
  17. LiM. WangX. LiuJ. MaoX. LiD. WangZ. TangY. WuS. Identification of core prognosis-related candidate genes in chinese gastric cancer population based on integrated bioinformatics.BioMed Res. Int.2020202011410.1155/2020/8859826 33381592
    [Google Scholar]
  18. LyuG. LiD. XiongH. XiaoL. TongJ. NingC. WangP. LiS. Quantitative proteomic analyses identify STO/BBX24 -related proteins induced by UV-B.Int. J. Mol. Sci.2020217249610.3390/ijms21072496 32260266
    [Google Scholar]
  19. YangY. GuX. LiZ. ZhengC. WangZ. ZhouM. ChenZ. LiM. LiD. XiangJ. Whole-exome sequencing of rectal cancer identifies locally recurrent mutations in the Wnt pathway.Aging (albany ny)20211319232622328310.18632/aging.203618 34642262
    [Google Scholar]
  20. YangD. LiuM. JiangJ. LuoY. WangY. ChenH. LiD. WangD. YangZ. ChenH. Comprehensive analysis of DMRT3 as a potential biomarker associated with the immune infiltration in a pan-cancer analysis and validation in lung adenocarcinoma.Cancers20221424622010.3390/cancers14246220 36551704
    [Google Scholar]
  21. HanQ. CuiZ. WangQ. PangF. LiD. WangD. Upregulation of OTX2-AS1 is associated with immune infiltration and predicts prognosis of gastric cancer.Technol. Cancer Res. Treat.20232210.1177/15330338231154091 36740995
    [Google Scholar]
  22. LiangW. LuY. PanX. ZengY. ZhengW. LiY. NieY. LiD. WangD. Decreased expression of a novel lncRNA FAM181A-AS1 is associated with poor prognosis and immune infiltration in lung adenocarcinoma.Pharm. Genomics Pers. Med.20221598599810.2147/PGPM.S384901 36482943
    [Google Scholar]
  23. LuX. JingL. LiuS. WangH. ChenB. miR-149-3p is a potential prognosis biomarker and correlated with immune infiltrates in uterine corpus endometrial carcinoma.Int. J. Endocrinol.2022202211510.1155/2022/5006123 35719192
    [Google Scholar]
  24. LiuJ. LichtenbergT. HoadleyK.A. PoissonL.M. LazarA.J. CherniackA.D. KovatichA.J. BenzC.C. LevineD.A. LeeA.V. OmbergL. WolfD.M. ShriverC.D. ThorssonV. HuH. Caesar-JohnsonS.J. DemchokJ.A. FelauI. KasapiM. FergusonM.L. HutterC.M. SofiaH.J. TarnuzzerR. WangZ. YangL. ZenklusenJ.C. ZhangJ.J. ChudamaniS. LiuJ. LollaL. NareshR. PihlT. SunQ. WanY. WuY. ChoJ. DeFreitasT. FrazerS. GehlenborgN. GetzG. HeimanD.I. KimJ. LawrenceM.S. LinP. MeierS. NobleM.S. SaksenaG. VoetD. ZhangH. BernardB. ChambweN. DhankaniV. KnijnenburgT. KramerR. LeinonenK. LiuY. MillerM. ReynoldsS. ShmulevichI. ThorssonV. ZhangW. AkbaniR. BroomB.M. HegdeA.M. JuZ. KanchiR.S. KorkutA. LiJ. LiangH. LingS. LiuW. LuY. MillsG.B. NgK-S. RaoA. RyanM. WangJ. WeinsteinJ.N. ZhangJ. AbeshouseA. ArmeniaJ. ChakravartyD. ChatilaW.K. de BruijnI. GaoJ. GrossB.E. HeinsZ.J. KundraR. LaK. LadanyiM. LunaA. NissanM.G. OchoaA. PhillipsS.M. ReznikE. Sanchez-VegaF. SanderC. SchultzN. SheridanR. SumerS.O. SunY. TaylorB.S. WangJ. ZhangH. AnurP. PetoM. SpellmanP. BenzC. StuartJ.M. WongC.K. YauC. HayesD.N. ParkerJ.S. WilkersonM.D. AllyA. BalasundaramM. BowlbyR. BrooksD. CarlsenR. ChuahE. DhallaN. HoltR. JonesS.J.M. KasaianK. LeeD. MaY. MarraM.A. MayoM. MooreR.A. MungallA.J. MungallK. RobertsonA.G. SadeghiS. ScheinJ.E. SipahimalaniP. TamA. ThiessenN. TseK. WongT. BergerA.C. BeroukhimR. CherniackA.D. CibulskisC. GabrielS.B. GaoG.F. HaG. MeyersonM. SchumacherS.E. ShihJ. KucherlapatiM.H. KucherlapatiR.S. BaylinS. CopeL. DanilovaL. BootwallaM.S. LaiP.H. MaglinteD.T. Van Den BergD.J. WeisenbergerD.J. AumanJ.T. BaluS. BodenheimerT. FanC. HoadleyK.A. HoyleA.P. JefferysS.R. JonesC.D. MengS. MieczkowskiP.A. MoseL.E. PerouA.H. PerouC.M. RoachJ. ShiY. SimonsJ.V. SkellyT. SolowayM.G. TanD. VeluvoluU. FanH. HinoueT. LairdP.W. ShenH. ZhouW. BellairM. ChangK. CovingtonK. CreightonC.J. DinhH. DoddapaneniH.V. DonehowerL.A. DrummondJ. GibbsR.A. GlennR. HaleW. HanY. HuJ. KorchinaV. LeeS. LewisL. LiW. LiuX. MorganM. MortonD. MuznyD. SantibanezJ. ShethM. ShinbroE. WangL. WangM. WheelerD.A. XiL. ZhaoF. HessJ. AppelbaumE.L. BaileyM. CordesM.G. DingL. FronickC.C. FultonL.A. FultonR.S. KandothC. MardisE.R. McLellanM.D. MillerC.A. SchmidtH.K. WilsonR.K. CrainD. CurleyE. GardnerJ. LauK. MalleryD. MorrisS. PaulauskisJ. PennyR. SheltonC. SheltonT. ShermanM. ThompsonE. YenaP. BowenJ. Gastier-FosterJ.M. GerkenM. LeraasK.M. LichtenbergT.M. RamirezN.C. WiseL. ZmudaE. CorcoranN. CostelloT. HovensC. CarvalhoA.L. de CarvalhoA.C. FregnaniJ.H. Longatto-FilhoA. ReisR.M. Scapulatempo-NetoC. SilveiraH.C.S. VidalD.O. BurnetteA. EschbacherJ. HermesB. NossA. SinghR. AndersonM.L. CastroP.D. IttmannM. HuntsmanD. KohlB. LeX. ThorpR. AndryC. DuffyE.R. LyadovV. PaklinaO. SetdikovaG. ShabuninA. TavobilovM. McPhersonC. WarnickR. BerkowitzR. CramerD. FeltmateC. HorowitzN. KibelA. MutoM. RautC.P. MalykhA. Barnholtz-SloanJ.S. BarrettW. DevineK. FulopJ. OstromQ.T. ShimmelK. WolinskyY. SloanA.E. De RoseA. GiulianteF. GoodmanM. KarlanB.Y. HagedornC.H. EckmanJ. HarrJ. MyersJ. TuckerK. ZachL.A. DeyarminB. HuH. KvecherL. LarsonC. MuralR.J. SomiariS. VichaA. ZelinkaT. BennettJ. IacoccaM. RabenoB. SwansonP. LatourM. LacombeL. TêtuB. BergeronA. McGrawM. StaugaitisS.M. ChabotJ. HibshooshH. SepulvedaA. SuT. WangT. PotapovaO. VoroninaO. DesjardinsL. MarianiO. Roman-RomanS. SastreX. SternM-H. ChengF. SignorettiS. BerchuckA. BignerD. LippE. MarksJ. McCallS. McLendonR. SecordA. SharpA. BeheraM. BratD.J. ChenA. DelmanK. ForceS. KhuriF. MaglioccaK. MaithelS. OlsonJ.J. OwonikokoT. PickensA. RamalingamS. ShinD.M. SicaG. Van MeirE.G. ZhangH. EijckenboomW. GillisA. KorpershoekE. LooijengaL. OosterhuisW. StoopH. van KesselK.E. ZwarthoffE.C. CalatozzoloC. CuppiniL. CuzzubboS. DiMecoF. FinocchiaroG. MatteiL. PerinA. PolloB. ChenC. HouckJ. LohavanichbutrP. HartmannA. StoehrC. StoehrR. TaubertH. WachS. WullichB. KyclerW. MurawaD. WiznerowiczM. ChungK. EdenfieldW.J. MartinJ. BaudinE. BubleyG. BuenoR. De RienzoA. RichardsW.G. KalkanisS. MikkelsenT. NoushmehrH. ScarpaceL. GirardN. AymerichM. CampoE. GinéE. GuillermoA.L. Van BangN. HanhP.T. PhuB.D. TangY. ColmanH. EvasonK. DottinoP.R. MartignettiJ.A. GabraH. JuhlH. AkeredoluT. StepaS. HoonD. AhnK. KangK.J. BeuschleinF. BreggiaA. BirrerM. BellD. BoradM. BryceA.H. CastleE. ChandanV. ChevilleJ. CoplandJ.A. FarnellM. FlotteT. GiamaN. HoT. KendrickM. KocherJ-P. KoppK. MoserC. NagorneyD. O’BrienD. O’NeillB.P. PatelT. PetersenG. QueF. RiveraM. RobertsL. SmallridgeR. SmyrkT. StantonM. ThompsonR.H. TorbensonM. YangJ.D. ZhangL. BrimoF. AjaniJ.A. Angulo GonzalezA.M. BehrensC. BondarukJ. BroaddusR. CzerniakB. EsmaeliB. FujimotoJ. GershenwaldJ. GuoC. LazarA.J. LogothetisC. Meric-BernstamF. MoranC. RamondettaL. RiceD. SoodA. TamboliP. ThompsonT. TroncosoP. TsaoA. WistubaI. CarterC. HayduL. HerseyP. JakrotV. KakavandH. KeffordR. LeeK. LongG. MannG. QuinnM. SawR. ScolyerR. ShannonK. SpillaneA. StretchJ. SynottM. ThompsonJ. WilmottJ. Al-AhmadieH. ChanT.A. GhosseinR. GopalanA. LevineD.A. ReuterV. SingerS. SinghB. TienN.V. BroudyT. MirsaidiC. NairP. DrwiegaP. MillerJ. SmithJ. ZarenH. ParkJ-W. HungN.P. KebebewE. LinehanW.M. MetwalliA.R. PacakK. PintoP.A. SchiffmanM. SchmidtL.S. VockeC.D. WentzensenN. WorrellR. YangH. MoncrieffM. GoparajuC. MelamedJ. PassH. BotnariucN. CaramanI. CernatM. ChemencedjiI. ClipcaA. DorucS. GorincioiG. MuraS. PirtacM. StanculI. TcaciucD. AlbertM. AlexopoulouI. ArnaoutA. BartlettJ. EngelJ. GilbertS. ParfittJ. SekhonH. ThomasG. RasslD.M. RintoulR.C. BifulcoC. TamakawaR. UrbaW. HaywardN. TimmersH. AntenucciA. FaccioloF. GraziG. MarinoM. MerolaR. de KrijgerR. Gimenez-RoqueploA-P. PichéA. ChevalierS. McKercherG. BirsoyK. BarnettG. BrewerC. FarverC. NaskaT. PennellN.A. RaymondD. SchileroC. SmolenskiK. WilliamsF. MorrisonC. BorgiaJ.A. LiptayM.J. PoolM. SederC.W. JunkerK. OmbergL. DinkinM. ManikhasG. AlvaroD. BragazziM.C. CardinaleV. CarpinoG. GaudioE. CheslaD. CottinghamS. DubinaM. MoiseenkoF. DhanasekaranR. BeckerK-F. JanssenK-P. Slotta-HuspeninaJ. Abdel-RahmanM.H. AzizD. BellS. CebullaC.M. DavisA. DuellR. ElderJ.B. HiltyJ. KumarB. LangJ. LehmanN.L. MandtR. NguyenP. PilarskiR. RaiK. SchoenfieldL. SenecalK. WakelyP. HansenP. LechanR. PowersJ. TischlerA. GrizzleW.E. SextonK.C. KastlA. HendersonJ. PortenS. WaldmannJ. FassnachtM. AsaS.L. SchadendorfD. CouceM. GraefenM. HulandH. SauterG. SchlommT. SimonR. TennstedtP. OlabodeO. NelsonM. BatheO. CarrollP.R. ChanJ.M. DisaiaP. GlennP. KelleyR.K. LandenC.N. PhillipsJ. PradosM. SimkoJ. Smith-McCuneK. VandenBergS. RogginK. FehrenbachA. KendlerA. SifriS. SteeleR. JimenoA. CareyF. ForgieI. MannelliM. CarneyM. HernandezB. CamposB. Herold-MendeC. JungkC. UnterbergA. von DeimlingA. BosslerA. GalbraithJ. JacobusL. KnudsonM. KnutsonT. MaD. MilhemM. SigmundR. GodwinA.K. MadanR. RosenthalH.G. AdebamowoC. AdebamowoS.N. BoussioutasA. BeerD. GiordanoT. Mes-MassonA-M. SaadF. BocklageT. LandrumL. MannelR. MooreK. MoxleyK. PostierR. WalkerJ. ZunaR. FeldmanM. ValdiviesoF. DhirR. LuketichJ. Mora PineroE.M. Quintero-AguiloM. CarlottiC.G.Jr Dos SantosJ.S. KempR. SankarankutyA. TirapelliD. CattoJ. AgnewK. SwisherE. CreaneyJ. RobinsonB. ShelleyC.S. GodwinE.M. KendallS. ShipmanC. BradfordC. CareyT. HaddadA. MoyerJ. PetersonL. PrinceM. RozekL. WolfG. BowmanR. FongK.M. YangI. KorstR. RathmellW.K. Fantacone-CampbellJ.L. HookeJ.A. KovatichA.J. ShriverC.D. DiPersioJ. DrakeB. GovindanR. HeathS. LeyT. Van TineB. WesterveltP. RubinM.A. LeeJ.I. AredesN.D. MariamidzeA. An integrated TCGA pan-cancer clinical data resource to drive high-quality survival outcome analytics.Cell20181732400416.e1110.1016/j.cell.2018.02.052 29625055
    [Google Scholar]
  25. AgarwalV. BellG.W. NamJ.W. BartelD.P. Predicting effective microRNA target sites in mammalian mRNAs.eLife20154e0500510.7554/eLife.05005 26267216
    [Google Scholar]
  26. ChiangH.R. SchoenfeldL.W. RubyJ.G. AuyeungV.C. SpiesN. BaekD. JohnstonW.K. RussC. LuoS. BabiarzJ.E. BlellochR. SchrothG.P. NusbaumC. BartelD.P. Mammalian microRNAs: Experimental evaluation of novel and previously annotated genes.Genes Dev.20102410992100910.1101/gad.1884710 20413612
    [Google Scholar]
  27. LiuW. WangX. Prediction of functional microRNA targets by integrative modeling of microRNA binding and target expression data.Genome Biol.20192011810.1186/s13059‑019‑1629‑z 30670076
    [Google Scholar]
  28. KrekA. GrünD. PoyM.N. WolfR. RosenbergL. EpsteinE.J. MacMenaminP. da PiedadeI. GunsalusK.C. StoffelM. RajewskyN. Combinatorial microRNA target predictions.Nat. Genet.200537549550010.1038/ng1536 15806104
    [Google Scholar]
  29. YuG. WangL.G. HanY. HeQ.Y. clusterProfiler: An R package for comparing biological themes among gene clusters.OMICS201216528428710.1089/omi.2011.0118 22455463
    [Google Scholar]
  30. LyuG. LiD. LiS. HuH. STO and GA negatively regulate UV-B-induced Arabidopsis root growth inhibition.Plant Signal. Behav.20191412167547110.1080/15592324.2019.1675471 31595819
    [Google Scholar]
  31. LiD.B. LyuG. JiangY. NiuH. WangX. YinJ. A radish (Raphanus Sativus L.) E3 ubiquitin ligase gene rha2b enhances seed dormancy and tolerance to preharvest sprouting in transgenic wheat (Triticum Aestivum L.).Appl. Ecol. Environ. Res.2019176132731328810.15666/aeer/1706_1327313288
    [Google Scholar]
  32. LiD.B. LyuG. JiangY. NiuH. WangX. YinJ. Effects of exogenous RsRHA2b gene on key enzyme activities and expression of related genes in grain the filling stage of wheat (Triticum aestivum L.).Appl. Ecol. Environ. Res.2019176150731508610.15666/aeer/1706_1507315086
    [Google Scholar]
  33. LuX. LiG. LiuS. WangH. ChenB. MiR-585-3p suppresses tumor proliferation and migration by directly targeting CAPN9 in high grade serous ovarian cancer.J. Ovarian Res.20211419010.1186/s13048‑021‑00841‑w 34238324
    [Google Scholar]
  34. HuangH. XuQ. ZhangY. ZhouY. MaK. LuoY. miR-628-5p is a potential novel prognosis biomarker, associated with immune infiltration in bladder urothelial carcinoma.Curr. Pharm. Des.202329312477248810.2174/0113816128254621231017062923 37916623
    [Google Scholar]
  35. DioguardiM. CantoreS. SoveretoD. La Femina, L.; Caloro, G.A.; Spirito, F.; Scacco, S.; Di Cosola, M.; Lo Muzio, L.; Troiano, G.; Ballini, A. Potential role of miR-196a and miR-196b as prognostic biomarkers of survival in head and neck squamous cell carcinoma: A systematic review, meta-analysis and trial sequential analysis.Life2022128126910.3390/life12081269 36013448
    [Google Scholar]
  36. HouB. IshinagaH. MidorikawaK. ShahS.A. NakamuraS. HirakuY. OikawaS. MurataM. TakeuchiK. Circulating microRNAs as novel prognosis biomarkers for head and neck squamous cell carcinoma.Cancer Biol. Ther.20151671042104610.1080/15384047.2015.1045692 25950115
    [Google Scholar]
  37. LuL. WuY. FengM. XueX. FanY. A novel seven miRNA prognostic model to predict overall survival in head and neck squamous cell carcinoma patients.Mol. Med. Rep.20192054340434810.3892/mmr.2019.10665 31545440
    [Google Scholar]
  38. BaoL. MiaoW. YuY. Reduced serum miR-138 is associated with poor prognosis of head and neck squamous cell carcinoma.Int. J. Clin. Exp. Pathol.201710101027610281 31966362
    [Google Scholar]
  39. LuQ. WangY. JiangX. HuangS. miR-584-5p inhibits osteosarcoma progression by targeting connective tissue growth factor.Cancer Biother. Radiopharm.202338963264010.1089/cbr.2021.0349 35041486
    [Google Scholar]
  40. LeeS.B. ParkY.S. SungJ.S. LeeJ.W. KimB. KimY.H. Tumor suppressor miR-584-5p inhibits migration and invasion in smoking related non-small cell lung cancer cells by targeting YKT6.Cancers2021135115910.3390/cancers13051159 33800298
    [Google Scholar]
  41. CaoY. WangF. ChenY. WangY. SongH. LongJ. CircPITX1 regulates proliferation, angiogenesis, migration, invasion, and cell cycle of human glioblastoma cells by targeting miR-584-5p/KPNB1 axis.J. Mol. Neurosci: MN202171816831695
    [Google Scholar]
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