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Table 3 List of non-codingRNAs, their targets and the type of interactions, cited by only one scientific article, and therefore excluded from the network illustrated in Fig. 1 and further described and discussed in the main text of the review

From: The network of non-coding RNAs and their molecular targets in breast cancer

Non-coding RNATargetType of interaction*PMIDReference
AC0269041SNAI2pos29774079[1]
AGAP2-AS1MyD88pos30157918[2]
Ai-EGOTITPR1, HNRNPH1pos30999914[3]
AK023948AKT1pos28176758[4]
ANCREZH2neg27716745[5]
ARNILAmiR-204neg29844570[6]
ASncmtRNA-1CCNB1, CCND1, CDK1, CDK4, BIRC5pos31142736[7]
BCYRN1BCL2L1pos27277684[8]
BORGRPAINpos30467380[9]
CASIMO1SQLEpos29765154[10]
CCAT1miR-148a/152, miR-204, ANXA2, miR-211neg31695775[11]
circ_0025202miR-182-5p, FOXO3neg31153828[12]
circAGFGmiR-195-5pneg30621700[13]
circANKS1BmiR-148a, miR-152neg30454010[14]
circEPSTI1miR-4753, miR-6809neg30083277[15]
circFoxo3FOXO3pos27886165[16]
circGFRA1miR-34apos/neg29037220[17]
circIRAK3miR-3607neg29803789[18]
circKIF4AmiR-375neg30744636[19]
CYTORmTOR, GOLPH3, KIF14, PRKCA, SMYD3pos27617288[20]
DANCRRXRA, PIK3CApos30518934[21]
DSCAM-AS1HNRNPLpos27666543[22]
EFNA3 (NC1 and NC2)EFNA3pos25023702[23]
ELAV1CD133neg27197265[24]
EPB41L4A-AS2RARRES1pos30764831[25]
EPIC1CDC45, CDC20, CCNA2, CDKN1Apos29622465[26]
Esrp2-asESRP2pos28759043[27]
FGF13-AS1MYCBP, IGF2BPneg30771425[28]
FN1miR-200cneg30967542[29]
GAS5miR-222neg29969658[30]
IRAINIGF1Rneg30195750[31]
LncKLHDC7BKLHDC7Bpos30648789[32]
let-7aBCL2L1neg26915294[33]
LINC00673miR-515-5pneg31623640[34]
LINC00968WNT2neg30791958[35]
LINC01125LXR-623pos30867411[36]
LINC01133KLF4pos31283068[37]
LINC01355CCDN1, FOXO3neg31243265[38]
LINC01638MYCBPpos30002443[39]
LINC02582USP7neg31601781[40]
LINCINNF90 (a major spliced form of interleukin enhancer binding factor 3, ILF3) CDKN1Apos, neg28558830[41]
LINCKRSL1D1, ZEB1, ZO-1, CDH1/E-cadherin, CDH2/N-cadherin, VIMpos, pos, neg, neg, pos, pos30795783[42]
LINCRNA-APOC1P1–3TUBA1Apos27228351[43]
LINC-RoRDUSP7neg29041978[44]
LINC-ZNF469–3miR-574-5ppos29755127[45]
LINP1IGFBP3pos30725116[46]
LncATBmiR-200, TWIST1neg30518916[47]
Lnc-BMJAK2/STATpos29130936[48]
lncRNA152, lncRNA67E2F4pos26236012[49]
lncRNA-HhGAS1pos26418365[50]
LOC284454COL2A1, COL4A1 COL6A1, ITGA2neg29227193[51]
MAYAMST1, YAP1pos28114269[52]
MBNL1DBNL, TACCneg26883358[53]
MEG3TGFB, TGFBR1, SMAD2neg26205790[54]
MIR100HGCDKN1Bpos30042378[55]
miR-101POMPneg26145175[56]
miR-103, miR-107NKILAneg25759022[57]
miR-105MXI1neg29588351[58]
miR-106bBRMS1Lneg25406648[59]
miR-1204VDRneg29555976[60]
miR-122PKMneg25621950[61]
miR-124IL-11neg29343249[62]
miR-1254CCAR1neg27002217[63]
miR-1285, miR-136HERC4neg30710319[64]
miR-130aPTENneg28935812[65]
miR-132, miR-212SOX4neg26377202[66]
miR-135RUNX2neg25634212[67]
miR-135a1ESR1, ESRRA, NCOA1neg29945962[68]
miR-138EZH2neg25339353[69]
miR-139MAT2A, POLQ, TOP1, TOP2A, XRCC5neg29180477[70]
miR-141TCF12neg26068592[71]
miR-142APCneg25406066[72]
miR-144TET2, EIF5A2, ATXN2neg29109788[73]
miR-148aDKK1neg29721077[74]
miR-148bITGA5, ALCAMneg27328731[75]
miR-15BCL2neg26915294[33]
miR-153KLF5neg26941846[76]
miR-155miR-143pos26795347[77]
miR-159TCF7neg26794868[78]
miR-181cPDPK1neg25828099[79]
miR-185E2F1neg30482236[80]
miR-18aSREBF1neg29988076[81]
miR-190SMAD2neg29510731[82]
miR-195ONECUT2neg31118200[83]
miR-199aLCORneg28530657[84]
miR-200c/141HIPK1neg30613263[85]
miR-204PIK3CBneg30737233[86]
miR-206TWF1, MAP 3 K9, SPATA6, IL-11neg, pos, pos, pos27435395[87]
miR-20aMAPK1neg29125598[88]
miR-21DDX5, PTENpos30413718[89]
MIR210HGmiR-1226-3pneg31399552[90]
miR-214miR-148bneg27328731[75]
miR-216b-5pPNPOneg30982780[91]
miR-218ZFXneg31310241[92]
miR-221Beclin1neg27940575[93]
miR-24ING5neg28490335[94]
miR-31GNA13neg25889182[95]
miR-320bNRP1, ETS2neg26178901[96]
miR-329, miR-362BCAR1neg26337669[97]
miR-33aADAM9, ROS1neg26507842[98]
miR-345KISS1neg28981380[99]
miR-34cEIF5A2, SCA2neg29560860[100]
miR-3609, miR-5096CDK1neg31142736[7]
miR-375TNS3, PXN, CCL2neg30850595[101]
miR-424 (322)/503BCL2, IGF1Rneg28404630[102]
miR-4306SIX1, CDC42, VEGFAneg30867840[103]
miR-4485-3pCCNB1, CCND1neg31142736[7]
miR-454-3pRPRD1A, AXIN2, DKK3, SFRP1neg30809286[104]
miR-4728ESR1neg29476008[105]
miR-4766-5pSIRT1neg29752439[106]
miR-484CDAneg25643696[107]
miR-515NRAS, MARK4, PIK3CBneg26882547[108]
miR-548aSIX1neg29455928[109]
miR-548jTensin1neg26949125[110]
miR-5582-3pLUCAT1, TCF7neg31300015[111]
miR-600SCD1neg28249169[112]
miR-892bNF-kB, TRAF2, TAB3, TAK1neg26747895[113]
miR-93NCOA3neg28920955[114]
miR-940ARHGAP1, FAM134Aneg29440427[115]
miR-99aHer2neg25388283[116]
MPPED2-AS1DNMT1, MPPED2neg31181813[117]
NAMPT-ASPOU2F2pos30940661[118]
NBR2AMPKpos26999735[119]
NDRG1-OT1NDRG1neg30497328[120]
NKILAIk-Bneg25759022[57]
NONHSAT101069miR-129-5pneg31444414[121]
NORADS100Pneg30967631[122]
PDCD4-AS1PDCD4pos30496290[123]
piR-FTH1Fth1neg30102404[124]
PIWI-36712SEPW1Pneg30636640[125]
PIWIL3miR-21, miR-45neg28094937[126]
PNUTSmiR-205, ZEB1, ZEB2neg, pos, pos28825698[127]
PRLBSIRT1pos29752439[106]
PTENP1miR-20a, PTENneg, pos31196157[128]
PTV1BAP-1, CTNNB1pos29760406[129]
PYCARD-AS1DNMT1, G9pos31086376[130]
RAINsRUNX2pos28981843[131]
RP1p27neg31073122[132]
SNHG5miR-154-5pneg31255976[133]
SPRY4-IT1ZNF703pos25742952[134]
ST8SIA6-AS1PLK1, AURORApos31286138[135]
T3pRISC, NUPR1, PANX2neg, pos, pos30397354[136]
TINCRHER-2, miR-125b, Snail1Pos, neg, pos30621694[137]
TROJANZMYND8, ZNF592neg30854423[138]
WDR7–7GPR30pos29096683[139]
XISTc-Met, miR-503neg, pos30028120[140]
YIYACDK6, PFKFB3pos29967256[141]
  1. *pos positive interaction, activation, neg negative interaction, repression