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For: Wong N, Wang X. miRDB: an online resource for microRNA target prediction and functional annotations. Nucleic Acids Res 2015;43:D146-52. [PMID: 25378301 DOI: 10.1093/nar/gku1104] [Cited by in Crossref: 1076] [Cited by in F6Publishing: 1041] [Article Influence: 153.7] [Reference Citation Analysis]
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2 Tsujimoto T, Mori T, Houri K, Onodera Y, Takehara T, Shigi K, Nakao S, Teramura T, Fukuda K. miR-155 inhibits mitophagy through suppression of BAG5, a partner protein of PINK1. Biochemical and Biophysical Research Communications 2020;523:707-12. [DOI: 10.1016/j.bbrc.2020.01.022] [Cited by in Crossref: 12] [Cited by in F6Publishing: 12] [Article Influence: 12.0] [Reference Citation Analysis]
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4 Zhu Y, Xie J, Sun H. Three miRNAs cooperate with host genes involved in human cardiovascular disease. Hum Genomics 2019;13:40. [PMID: 31464655 DOI: 10.1186/s40246-019-0232-4] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
5 Chen LP, Wang H, Zhang Y, Chen QX, Lin TS, Liu ZQ, Zhou YY. Robust analysis of novel mRNA-lncRNA cross talk based on ceRNA hypothesis uncovers carcinogenic mechanism and promotes diagnostic accuracy in esophageal cancer. Cancer Manag Res 2019;11:347-58. [PMID: 30643460 DOI: 10.2147/CMAR.S183310] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 1.3] [Reference Citation Analysis]
6 Hajjri SN, Sadigh-Eteghad S, Mehrpour M, Moradi F, Shanehbandi D, Mehdizadeh M. Beta-Amyloid-Dependent miRNAs as Circulating Biomarkers in Alzheimer's Disease: a Preliminary Report. J Mol Neurosci 2020;70:871-7. [PMID: 32306293 DOI: 10.1007/s12031-020-01511-0] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
7 Gong SQ, Xu M, Xiang ML, Shan YM, Zhang H. The Expression and Effection of MicroRNA-499a in High-Tobacco Exposed Head and Neck Squamous Cell Carcinoma: A Bioinformatic Analysis. Front Oncol 2019;9:678. [PMID: 31417866 DOI: 10.3389/fonc.2019.00678] [Cited by in Crossref: 8] [Cited by in F6Publishing: 7] [Article Influence: 4.0] [Reference Citation Analysis]
8 Xing K, Zhao X, Liu Y, Zhang F, Tan Z, Qi X, Wang X, Ni H, Guo Y, Sheng X, Wang C. Identification of Differentially Expressed MicroRNAs and Their Potential Target Genes in Adipose Tissue from Pigs with Highly Divergent Backfat Thickness. Animals (Basel) 2020;10:E624. [PMID: 32260506 DOI: 10.3390/ani10040624] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
9 Kesharwani D, Kumar A, Poojary M, Scaria V, Datta M. RNA sequencing reveals potential interacting networks between the altered transcriptome and ncRNome in the skeletal muscle of diabetic mice. Biosci Rep 2021;41:BSR20210495. [PMID: 34190986 DOI: 10.1042/BSR20210495] [Reference Citation Analysis]
10 Yao Y, Zhang T, Qi L, Liu R, Liu G, Wang J, Song Q, Sun C. Comprehensive analysis of prognostic biomarkers in lung adenocarcinoma based on aberrant lncRNA-miRNA-mRNA networks and Cox regression models. Biosci Rep 2020;40:BSR20191554. [PMID: 31950990 DOI: 10.1042/BSR20191554] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 6.0] [Reference Citation Analysis]
11 Ye J, Zhang J, Lv Y, Wei J, Shen X, Huang J, Wu S, Luo X. Integrated analysis of a competing endogenous RNA network reveals key long noncoding RNAs as potential prognostic biomarkers for hepatocellular carcinoma. J Cell Biochem. 2019;120:13810-13825. [PMID: 30989713 DOI: 10.1002/jcb.28655] [Cited by in Crossref: 17] [Cited by in F6Publishing: 21] [Article Influence: 8.5] [Reference Citation Analysis]
12 Khanabdali R, Zheng S, Melton PE, Georgiou HM, Moses E, Brennecke SP, Kalionis B. Late/post-term decidual basalis-derived mesenchymal stem/stromal cells show evidence of advanced ageing and downregulation of microRNA-516b-5p. Placenta 2021;109:43-54. [PMID: 33975264 DOI: 10.1016/j.placenta.2021.04.008] [Reference Citation Analysis]
13 Galleggiante V, De Santis S, Liso M, Verna G, Sommella E, Mastronardi M, Campiglia P, Chieppa M, Serino G. Quercetin-Induced miR-369-3p Suppresses Chronic Inflammatory Response Targeting C/EBP-β. Mol Nutr Food Res 2019;63:e1801390. [PMID: 31338984 DOI: 10.1002/mnfr.201801390] [Cited by in Crossref: 16] [Cited by in F6Publishing: 13] [Article Influence: 8.0] [Reference Citation Analysis]
14 Liao C, Huang X, Gong Y, Lin Q. Discovery of core genes in colorectal cancer by weighted gene co-expression network analysis. Oncol Lett 2019;18:3137-49. [PMID: 31402962 DOI: 10.3892/ol.2019.10605] [Cited by in Crossref: 1] [Cited by in F6Publishing: 4] [Article Influence: 0.5] [Reference Citation Analysis]
15 Li T, Yan X, Jiang M, Xiang L. The comparison of microRNA profile of the dermis between the young and elderly. Journal of Dermatological Science 2016;82:75-83. [DOI: 10.1016/j.jdermsci.2016.01.005] [Cited by in Crossref: 21] [Cited by in F6Publishing: 19] [Article Influence: 4.2] [Reference Citation Analysis]
16 Khwaja SS, Cai C, Badiyan SN, Wang X, Huang J. The immune-related microRNA miR-146b is upregulated in glioblastoma recurrence. Oncotarget 2018;9:29036-46. [PMID: 30018734 DOI: 10.18632/oncotarget.25528] [Cited by in Crossref: 5] [Cited by in F6Publishing: 4] [Article Influence: 1.7] [Reference Citation Analysis]
17 Islam F, Gopalan V, Vider J, Wahab R, Ebrahimi F, Lu CT, Kasem K, Lam AKY. MicroRNA-186-5p overexpression modulates colon cancer growth by repressing the expression of the FAM134B tumour inhibitor. Exp Cell Res 2017;357:260-70. [PMID: 28549913 DOI: 10.1016/j.yexcr.2017.05.021] [Cited by in Crossref: 40] [Cited by in F6Publishing: 41] [Article Influence: 10.0] [Reference Citation Analysis]
18 Francis M, Grider A. MiRNA-target interactions in osteogenic signaling pathways involving zinc via the metal regulatory element. Biometals 2019;32:111-21. [PMID: 30564968 DOI: 10.1007/s10534-018-00162-4] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
19 Hou R, Jiang L. LINC00115 promotes stemness and inhibits apoptosis of ovarian cancer stem cells by upregulating SOX9 and inhibiting the Wnt/β-catenin pathway through competitively binding to microRNA-30a. Cancer Cell Int 2021;21:360. [PMID: 34238293 DOI: 10.1186/s12935-021-02019-2] [Reference Citation Analysis]
20 Xiong Y, Sun F, Dong P, Watari H, Yue J, Yu MF, Lan CY, Wang Y, Ma ZB. iASPP induces EMT and cisplatin resistance in human cervical cancer through miR-20a-FBXL5/BTG3 signaling. J Exp Clin Cancer Res 2017;36:48. [PMID: 28399926 DOI: 10.1186/s13046-017-0520-6] [Cited by in Crossref: 46] [Cited by in F6Publishing: 48] [Article Influence: 11.5] [Reference Citation Analysis]
21 Zhong H, Chen K, Feng M, Shao W, Wu J, Chen K, Liang T, Liu C. Genipin alleviates high-fat diet-induced hyperlipidemia and hepatic lipid accumulation in mice via miR-142a-5p/SREBP-1c axis. FEBS J 2018;285:501-17. [PMID: 29197188 DOI: 10.1111/febs.14349] [Cited by in Crossref: 21] [Cited by in F6Publishing: 22] [Article Influence: 5.3] [Reference Citation Analysis]
22 Khurana P, Gupta A, Sugadev R, Sharma YK, Kumar B. HAHmiR.DB: a server platform for high-altitude human miRNA-gene coregulatory networks and associated regulatory circuits. Database (Oxford) 2020;2020:baaa101. [PMID: 33259604 DOI: 10.1093/database/baaa101] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
23 He B, Lu P, Guan L, Li T, Zhang L, Zhu QG, Ding XX, Zhang SM, Chen XM, Zhao J, Lin S, Liu ZZ, Liu FE, Ma W, Zhang HQ. Identifying key regulating miRNAs in hepatocellular carcinomas by an omics' method. Oncotarget 2017;8:103919-30. [PMID: 29262610 DOI: 10.18632/oncotarget.21865] [Cited by in Crossref: 5] [Cited by in F6Publishing: 4] [Article Influence: 1.3] [Reference Citation Analysis]
24 de Torrente L, Zimmerman S, Taylor D, Hasegawa Y, Wells CA, Mar JC. pathVar: a new method for pathway-based interpretation of gene expression variability. PeerJ 2017;5:e3334. [PMID: 28560097 DOI: 10.7717/peerj.3334] [Cited by in Crossref: 3] [Cited by in F6Publishing: 4] [Article Influence: 0.8] [Reference Citation Analysis]
25 Koskimäki J, Zhang D, Li Y, Saadat L, Moore T, Lightle R, Polster SP, Carrión-Penagos J, Lyne SB, Zeineddine HA, Shi C, Shenkar R, Romanos S, Avner K, Srinath A, Shen L, Detter MR, Snellings D, Cao Y, Lopez-Ramirez MA, Fonseca G, Tang AT, Faber P, Andrade J, Ginsberg M, Kahn ML, Marchuk DA, Girard R, Awad IA. Transcriptome clarifies mechanisms of lesion genesis versus progression in models of Ccm3 cerebral cavernous malformations. Acta Neuropathol Commun 2019;7:132. [PMID: 31426861 DOI: 10.1186/s40478-019-0789-0] [Cited by in Crossref: 7] [Cited by in F6Publishing: 9] [Article Influence: 3.5] [Reference Citation Analysis]
26 Chen L, Zhang T, Zhang S, Huang J, Zhang G, Xie K, Wang J, Wu H, Dai G. Identification of Long Non-Coding RNA-Associated Competing Endogenous RNA Network in the Differentiation of Chicken Preadipocytes. Genes (Basel) 2019;10:E795. [PMID: 31614854 DOI: 10.3390/genes10100795] [Cited by in Crossref: 10] [Cited by in F6Publishing: 10] [Article Influence: 5.0] [Reference Citation Analysis]
27 Zhang P, Yin J, Yuan L, Wang Q, Du X, Dong R, Wang C, Bai Q, Ji L, Zhang G, Lu J. MicroRNA-139 suppresses hepatocellular carcinoma cell proliferation and migration by directly targeting Topoisomerase I. Oncol Lett 2019;17:1903-13. [PMID: 30675254 DOI: 10.3892/ol.2018.9746] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
28 Zheng MJ, Gou R, Zhang WC, Nie X, Wang J, Gao LL, Liu JJ, Li X, Lin B. Screening of prognostic biomarkers for endometrial carcinoma based on a ceRNA network. PeerJ 2018;6:e6091. [PMID: 30581678 DOI: 10.7717/peerj.6091] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
29 Powrózek T, Krawczyk P, Kowalski DM, Winiarczyk K, Olszyna-Serementa M, Milanowski J. Plasma circulating microRNA-944 and microRNA-3662 as potential histologic type-specific early lung cancer biomarkers. Transl Res. 2015;166:315-323. [PMID: 26079400 DOI: 10.1016/j.trsl.2015.05.009] [Cited by in Crossref: 38] [Cited by in F6Publishing: 37] [Article Influence: 6.3] [Reference Citation Analysis]
30 Fuchs HR, Meister R, Lotke R, Framme C. The microRNAs miR-302d and miR-93 inhibit TGFB-mediated EMT and VEGFA secretion from ARPE-19 cells. Exp Eye Res 2020;201:108258. [PMID: 32980316 DOI: 10.1016/j.exer.2020.108258] [Cited by in Crossref: 6] [Cited by in F6Publishing: 4] [Article Influence: 6.0] [Reference Citation Analysis]
31 Song W, Fu T. Circular RNA-Associated Competing Endogenous RNA Network and Prognostic Nomogram for Patients With Colorectal Cancer. Front Oncol. 2019;9:1181. [PMID: 31781492 DOI: 10.3389/fonc.2019.01181] [Cited by in Crossref: 24] [Cited by in F6Publishing: 26] [Article Influence: 12.0] [Reference Citation Analysis]
32 Harquail J, LeBlanc N, Ouellette RJ, Robichaud GA. miRNAs 484 and 210 regulate Pax-5 expression and function in breast cancer cells. Carcinogenesis 2019;40:1010-20. [PMID: 30605519 DOI: 10.1093/carcin/bgy191] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 6.0] [Reference Citation Analysis]
33 Lyu C, Liu K, Jiang Y, Wang T, Wang Y, Xu R. Integrated analysis on mRNA microarray and microRNA microarray to screen immune-related biomarkers and pathways in myelodysplastic syndrome. Hematology 2021;26:417-31. [PMID: 34130612 DOI: 10.1080/16078454.2021.1938429] [Reference Citation Analysis]
34 Hicks SD, Middleton FA. A Comparative Review of microRNA Expression Patterns in Autism Spectrum Disorder. Front Psychiatry 2016;7:176. [PMID: 27867363 DOI: 10.3389/fpsyt.2016.00176] [Cited by in Crossref: 43] [Cited by in F6Publishing: 44] [Article Influence: 8.6] [Reference Citation Analysis]
35 Hon KW, Ab-Mutalib NS, Abdullah NMA, Jamal R, Abu N. Extracellular Vesicle-derived circular RNAs confers chemoresistance in Colorectal cancer. Sci Rep 2019;9:16497. [PMID: 31712601 DOI: 10.1038/s41598-019-53063-y] [Cited by in Crossref: 40] [Cited by in F6Publishing: 40] [Article Influence: 20.0] [Reference Citation Analysis]
36 Pourteymourfard Tabrizi Z, Jami M. Selection of suitable bioinformatic tools in micro-RNA research. Gene Reports 2020;21:100893. [DOI: 10.1016/j.genrep.2020.100893] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
37 Tian C, Li C, Zeng Y, Liang J, Yang Q, Gu F, Hu Y, Liu L. Identification of CXCL13/CXCR5 axis's crucial and complex effect in human lung adenocarcinoma. Int Immunopharmacol 2021;94:107416. [PMID: 33676174 DOI: 10.1016/j.intimp.2021.107416] [Reference Citation Analysis]
38 Guan YJ, Ma JY, Song W. Identification of circRNA-miRNA-mRNA regulatory network in gastric cancer by analysis of microarray data. Cancer Cell Int 2019;19:183. [PMID: 31346318 DOI: 10.1186/s12935-019-0905-z] [Cited by in Crossref: 32] [Cited by in F6Publishing: 34] [Article Influence: 16.0] [Reference Citation Analysis]
39 Agarwal E, Altman BJ, Seo JH, Ghosh JC, Kossenkov AV, Tang HY, Krishn SR, Languino LR, Gabrilovich DI, Speicher DW, Dang CV, Altieri DC. Myc-mediated transcriptional regulation of the mitochondrial chaperone TRAP1 controls primary and metastatic tumor growth. J Biol Chem 2019;294:10407-14. [PMID: 31097545 DOI: 10.1074/jbc.AC119.008656] [Cited by in Crossref: 9] [Cited by in F6Publishing: 8] [Article Influence: 4.5] [Reference Citation Analysis]
40 Yang B, Dai JX, Pan YB, Ma YB, Chu SH. Identification of biomarkers and construction of a microRNA-mRNA regulatory network for ependymoma using integrated bioinformatics analysis. Oncol Lett 2019;18:6079-89. [PMID: 31788082 DOI: 10.3892/ol.2019.10941] [Cited by in Crossref: 1] [Cited by in F6Publishing: 3] [Article Influence: 0.5] [Reference Citation Analysis]
41 Rengaraj D, Truong AD, Ban J, Lillehoj HS, Hong YH. Distribution and differential expression of microRNAs in the intestinal mucosal layer of necrotic enteritis induced Fayoumi chickens. Asian-Australas J Anim Sci 2017;30:1037-47. [PMID: 28111433 DOI: 10.5713/ajas.16.0685] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 0.8] [Reference Citation Analysis]
42 Lopez MS, Metzger JM, Emborg ME. Identification of novel rhesus macaque microRNAs from naïve whole blood. Mol Biol Rep 2019;46:5511-6. [PMID: 31154603 DOI: 10.1007/s11033-019-04891-8] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
43 Weigend S, Holst SC, Meier J, Brock M, Kohler M, Landolt HP. Prolonged Waking and Recovery Sleep Affect the Serum MicroRNA Expression Profile in Humans. Clocks Sleep 2019;1:75-86. [PMID: 33089155 DOI: 10.3390/clockssleep1010008] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
44 Chen J, Gu X, Zhou L, Wang S, Zhu L, Huang Y, Cao F. Long non-coding RNA-HOTAIR promotes the progression of sepsis by acting as a sponge of miR-211 to induce IL-6R expression. Exp Ther Med 2019;18:3959-67. [PMID: 31656541 DOI: 10.3892/etm.2019.8063] [Cited by in Crossref: 3] [Cited by in F6Publishing: 5] [Article Influence: 1.5] [Reference Citation Analysis]
45 Dong Q, Yuan G, Liu M, Xie Q, Hu J, Wang M, Liu S, Ma X, Pan Y. Downregulation of microRNA-374a predicts poor prognosis in human glioma. Exp Ther Med 2019;17:2077-84. [PMID: 30867694 DOI: 10.3892/etm.2019.7190] [Cited by in Crossref: 2] [Cited by in F6Publishing: 4] [Article Influence: 1.0] [Reference Citation Analysis]
46 Deng L, Wang R, Li H, Zhang C, Zhao L, Zhang M. miRNA-Gene Regulatory Network in Gnotobiotic Mice Stimulated by Dysbiotic Gut Microbiota Transplanted From a Genetically Obese Child. Front Microbiol 2019;10:1517. [PMID: 31333621 DOI: 10.3389/fmicb.2019.01517] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 2.0] [Reference Citation Analysis]
47 Pandey RK, Sundar S, Prajapati VK. Differential Expression of miRNA Regulates T Cell Differentiation and Plasticity During Visceral Leishmaniasis Infection. Front Microbiol 2016;7:206. [PMID: 26941729 DOI: 10.3389/fmicb.2016.00206] [Cited by in Crossref: 40] [Cited by in F6Publishing: 38] [Article Influence: 8.0] [Reference Citation Analysis]
48 Ji W, Wang Q, Yang J. LncRNA HOXD-AS1 promotes the metastasis of human hepatocellular carcinoma via modulating miR-326/SLC27A4. Cancer Cell Int 2020;20:161. [PMID: 32425696 DOI: 10.1186/s12935-020-01217-8] [Cited by in Crossref: 3] [Cited by in F6Publishing: 4] [Article Influence: 3.0] [Reference Citation Analysis]
49 Pan X, Guo Z, Chen Y, Zheng S, Peng M, Yang Y, Wang Z. STAT3-Induced lncRNA SNHG17 Exerts Oncogenic Effects on Ovarian Cancer through Regulating CDK6. Mol Ther Nucleic Acids 2020;22:38-49. [PMID: 32911343 DOI: 10.1016/j.omtn.2020.08.006] [Cited by in Crossref: 5] [Cited by in F6Publishing: 7] [Article Influence: 5.0] [Reference Citation Analysis]
50 Sabour D, Machado RSR, Pinto JP, Rohani S, Sahito RGA, Hescheler J, Futschik ME, Sachinidis A. Parallel Genome-wide Profiling of Coding and Non-coding RNAs to Identify Novel Regulatory Elements in Embryonic and Maturated Heart. Mol Ther Nucleic Acids 2018;12:158-73. [PMID: 30195755 DOI: 10.1016/j.omtn.2018.04.018] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 1.3] [Reference Citation Analysis]
51 Rajendiran A, Chatterjee A, Pan A. Computational Approaches and Related Tools to Identify MicroRNAs in a Species: A Bird’s Eye View. Interdiscip Sci Comput Life Sci 2018;10:616-35. [DOI: 10.1007/s12539-017-0223-x] [Cited by in Crossref: 10] [Cited by in F6Publishing: 11] [Article Influence: 2.5] [Reference Citation Analysis]
52 Zhu C, Cai Y, Zhu J, Zhang L, Xing A, Pan L, Jia H, Mo S, Feng CG, Shen H, Chen X, Zhang Z. Histone deacetylase inhibitors impair the host immune response against Mycobacterium tuberculosis infection. Tuberculosis (Edinb) 2019;118:101861. [PMID: 31526947 DOI: 10.1016/j.tube.2019.101861] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
53 Meng X, Lu P, Fan Q. miR-367 promotes proliferation and invasion of hepatocellular carcinoma cells by negatively regulating PTEN. Biochem Biophys Res Commun 2016;470:187-91. [PMID: 26772880 DOI: 10.1016/j.bbrc.2016.01.025] [Cited by in Crossref: 14] [Cited by in F6Publishing: 11] [Article Influence: 2.8] [Reference Citation Analysis]
54 Wen Y, Wang Y, Xing Z, Liu Z, Hou Z. Microarray expression profile and analysis of circular RNA regulatory network in malignant pleural effusion. Cell Cycle 2018;17:2819-32. [PMID: 30563416 DOI: 10.1080/15384101.2018.1558860] [Cited by in Crossref: 10] [Cited by in F6Publishing: 9] [Article Influence: 3.3] [Reference Citation Analysis]
55 Dalal JS, Yang C, Sapkota D, Lake AM, O'Brien DR, Dougherty JD. Quantitative Nucleotide Level Analysis of Regulation of Translation in Response to Depolarization of Cultured Neural Cells. Front Mol Neurosci 2017;10:9. [PMID: 28190998 DOI: 10.3389/fnmol.2017.00009] [Cited by in Crossref: 9] [Cited by in F6Publishing: 6] [Article Influence: 2.3] [Reference Citation Analysis]
56 Li C, Yao W, Zhao C, Yang G, Wei J, Qi Y, Huang R, Zhao Q, Hao C. Comprehensive Analysis of lncRNAs Related to the Prognosis of Esophageal Cancer Based on ceRNA Network and Cox Regression Model. Biomed Res Int 2020;2020:3075729. [PMID: 33381546 DOI: 10.1155/2020/3075729] [Reference Citation Analysis]
57 Boileau A, Lino Cardenas CL, Courtois A, Zhang L, Rodosthenous RS, Das S, Sakalihasan N, Michel JB, Lindsay ME, Devaux Y. MiR-574-5p: A Circulating Marker of Thoracic Aortic Aneurysm. Int J Mol Sci 2019;20:E3924. [PMID: 31409059 DOI: 10.3390/ijms20163924] [Cited by in Crossref: 10] [Cited by in F6Publishing: 11] [Article Influence: 5.0] [Reference Citation Analysis]
58 Pereira Zambalde E, Bayraktar R, Schultz Jucoski T, Ivan C, Rodrigues AC, Mathias C, Knutsen E, Silveira de Lima R, Fiori Gradia D, de Souza Fonseca Ribeiro EM, Hannash S, Adrian Calin G, Carvalhode Oliveira J. A novel lncRNA derived from an ultraconserved region: lnc-uc.147, a potential biomarker in luminal A breast cancer. RNA Biol 2021;:1-14. [PMID: 34387142 DOI: 10.1080/15476286.2021.1952757] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
59 Sugita BM, Pereira SR, de Almeida RC, Gill M, Mahajan A, Duttargi A, Kirolikar S, Fadda P, de Lima RS, Urban CA, Makambi K, Madhavan S, Boca SM, Gusev Y, Cavalli IJ, Ribeiro EMSF, Cavalli LR. Integrated copy number and miRNA expression analysis in triple negative breast cancer of Latin American patients. Oncotarget 2019;10:6184-203. [PMID: 31692930 DOI: 10.18632/oncotarget.27250] [Cited by in Crossref: 6] [Cited by in F6Publishing: 5] [Article Influence: 3.0] [Reference Citation Analysis]
60 Luo ZB, Lai GE, Jiang T, Cao CL, Peng T, Liu FE. A Competing Endogenous RNA Network Reveals Novel lncRNA, miRNA and mRNA Biomarkers With Diagnostic and Prognostic Value for Early Breast Cancer. Technol Cancer Res Treat 2020;19:1533033820983293. [PMID: 33371806 DOI: 10.1177/1533033820983293] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
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