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For: Zhou X, Huang Z, Xu L, Zhu M, Zhang L, Zhang H, Wang X, Li H, Zhu W, Shu Y, Liu P. A panel of 13-miRNA signature as a potential biomarker for predicting survival in pancreatic cancer. Oncotarget 2016;7:69616-24. [PMID: 27626307 DOI: 10.18632/oncotarget.11903] [Cited by in Crossref: 35] [Cited by in F6Publishing: 39] [Article Influence: 8.8] [Reference Citation Analysis]
Number Citing Articles
1 Sui J, Xu SY, Han J, Yang SR, Li CY, Yin LH, Pu YP, Liang GY. Integrated analysis of competing endogenous RNA network revealing lncRNAs as potential prognostic biomarkers in human lung squamous cell carcinoma. Oncotarget 2017;8:65997-6018. [PMID: 29029488 DOI: 10.18632/oncotarget.19627] [Cited by in Crossref: 23] [Cited by in F6Publishing: 25] [Article Influence: 4.6] [Reference Citation Analysis]
2 Zhang J, Bing Z, Yan P, Tian J, Shi X, Wang Y, Yang K. Identification of 17 mRNAs and a miRNA as an integrated prognostic signature for lung squamous cell carcinoma. J Gene Med 2019;21:e3105. [PMID: 31215090 DOI: 10.1002/jgm.3105] [Cited by in Crossref: 3] [Cited by in F6Publishing: 5] [Article Influence: 1.5] [Reference Citation Analysis]
3 Liu G, Shao C, Li A, Zhang X, Guo X, Li J. Diagnostic Value of Plasma miR-181b, miR-196a, and miR-210 Combination in Pancreatic Cancer. Gastroenterol Res Pract 2020;2020:6073150. [PMID: 32831826 DOI: 10.1155/2020/6073150] [Cited by in Crossref: 1] [Cited by in F6Publishing: 3] [Article Influence: 0.5] [Reference Citation Analysis]
4 Liao X, Wang X, Huang K, Yang C, Yu T, Han C, Zhu G, Su H, Huang R, Peng T. Genome-scale analysis to identify prognostic microRNA biomarkers in patients with early stage pancreatic ductal adenocarcinoma after pancreaticoduodenectomy. Cancer Manag Res 2018;10:2537-51. [PMID: 30127641 DOI: 10.2147/CMAR.S168351] [Cited by in Crossref: 18] [Cited by in F6Publishing: 13] [Article Influence: 4.5] [Reference Citation Analysis]
5 Zhang J, Liu X, Zhou W, Lu S, Wu C, Wu Z, Liu R, Li X, Wu J, Liu Y, Guo S, Jia S, Zhang X, Wang M. Identification of Key Genes Associated With the Process of Hepatitis B Inflammation and Cancer Transformation by Integrated Bioinformatics Analysis. Front Genet 2021;12:654517. [PMID: 34539726 DOI: 10.3389/fgene.2021.654517] [Reference Citation Analysis]
6 Baradaran B, Shahbazi R, Khordadmehr M. Dysregulation of key microRNAs in pancreatic cancer development. Biomed Pharmacother. 2019;109:1008-1015. [PMID: 30551350 DOI: 10.1016/j.biopha.2018.10.177] [Cited by in Crossref: 24] [Cited by in F6Publishing: 18] [Article Influence: 6.0] [Reference Citation Analysis]
7 Zuo S, Dai G, Ren X. Identification of a 6-gene signature predicting prognosis for colorectal cancer. Cancer Cell Int. 2019;19:6. [PMID: 30627052 DOI: 10.1186/s12935-018-0724-7] [Cited by in Crossref: 25] [Cited by in F6Publishing: 26] [Article Influence: 8.3] [Reference Citation Analysis]
8 Liao X, Huang K, Huang R, Liu X, Han C, Yu L, Yu T, Yang C, Wang X, Peng T. Genome-scale analysis to identify prognostic markers in patients with early-stage pancreatic ductal adenocarcinoma after pancreaticoduodenectomy. Onco Targets Ther 2017;10:4493-506. [PMID: 28979141 DOI: 10.2147/OTT.S142557] [Cited by in Crossref: 24] [Cited by in F6Publishing: 40] [Article Influence: 4.8] [Reference Citation Analysis]
9 Bai X, Lu D, Lin Y, Lv Y, He L. A seven-miRNA expression-based prognostic signature and its corresponding potential competing endogenous RNA network in early pancreatic cancer. Exp Ther Med 2019;18:1601-8. [PMID: 31410115 DOI: 10.3892/etm.2019.7728] [Cited by in Crossref: 5] [Cited by in F6Publishing: 11] [Article Influence: 1.7] [Reference Citation Analysis]
10 Taghizadeh E, Taheri F, Rostami D, Renani PG, Ferns GA, Pasdar A, Mobarhan MG. MiR-492 as an Important Biomarker for Early Diagnosis and Targeted Treatment in Different Cancers. CCTR 2020;16:269-75. [DOI: 10.2174/1573394716666200309124048] [Cited by in Crossref: 1] [Article Influence: 0.5] [Reference Citation Analysis]
11 Wang ZX, Deng TX, Ma Z. Identification of a 4-miRNA signature as a potential prognostic biomarker for pancreatic adenocarcinoma. J Cell Biochem. 2019;120:16416-16426. [PMID: 31297864 DOI: 10.1002/jcb.28601] [Cited by in Crossref: 9] [Cited by in F6Publishing: 7] [Article Influence: 3.0] [Reference Citation Analysis]
12 You L, Wang J, Zhang F, Zhang J, Tao H, Zheng X, Hu Y. Potential four‑miRNA signature associated with T stage and prognosis of patients with pancreatic ductal adenocarcinoma identified by co‑expression analysis. Mol Med Rep 2019;19:441-51. [PMID: 30483731 DOI: 10.3892/mmr.2018.9663] [Cited by in F6Publishing: 2] [Reference Citation Analysis]
13 Meng X, Jin-Cheng G, Jue Z, Quan-Fu M, Bin Y, Xu-Feng W. Protein-coding genes, long non-coding RNAs combined with microRNAs as a novel clinical multi-dimension transcriptome signature to predict prognosis in ovarian cancer. Oncotarget 2017;8:72847-59. [PMID: 29069830 DOI: 10.18632/oncotarget.20457] [Cited by in Crossref: 10] [Cited by in F6Publishing: 9] [Article Influence: 2.0] [Reference Citation Analysis]
14 Ye H, Li T, Wang H, Wu J, Yi C, Shi J, Wang P, Song C, Dai L, Jiang G, Huang Y, Yu Y, Li J. TSPAN1, TMPRSS4, SDR16C5, and CTSE as Novel Panel for Pancreatic Cancer: A Bioinformatics Analysis and Experiments Validation. Front Immunol 2021;12:649551. [PMID: 33815409 DOI: 10.3389/fimmu.2021.649551] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
15 Lan H, Zeng J, Chen G, Huang H. Survival prediction of kidney renal papillary cell carcinoma by comprehensive LncRNA characterization. Oncotarget 2017;8:110811-29. [PMID: 29340018 DOI: 10.18632/oncotarget.22732] [Cited by in Crossref: 10] [Cited by in F6Publishing: 11] [Article Influence: 2.0] [Reference Citation Analysis]
16 He RQ, Wei QJ, Tang RX, Chen WJ, Yang X, Peng ZG, Hu XH, Ma J, Chen G. Prediction of clinical outcome and survival in soft-tissue sarcoma using a ten-lncRNA signature. Oncotarget 2017;8:80336-47. [PMID: 29113307 DOI: 10.18632/oncotarget.18165] [Cited by in Crossref: 9] [Cited by in F6Publishing: 10] [Article Influence: 1.8] [Reference Citation Analysis]
17 Zhang H, Zhu M, Shan X, Zhou X, Wang T, Zhang J, Tao J, Cheng W, Chen G, Li J, Liu P, Wang Q, Zhu W. A panel of seven-miRNA signature in plasma as potential biomarker for colorectal cancer diagnosis. Gene. 2019;687:246-254. [PMID: 30458288 DOI: 10.1016/j.gene.2018.11.055] [Cited by in Crossref: 42] [Cited by in F6Publishing: 43] [Article Influence: 10.5] [Reference Citation Analysis]
18 Zhu X, Zhao Q, Su X, Ke J, Yi Y, Yi J, Lin J, Qian J, Deng Z. A three-gene signature might predict prognosis in patients with acute myeloid leukemia. Biosci Rep 2020;40:BSR20193808. [PMID: 32436945 DOI: 10.1042/BSR20193808] [Reference Citation Analysis]
19 Zeng JH, Liang L, He RQ, Tang RX, Cai XY, Chen JQ, Luo DZ, Chen G. Comprehensive investigation of a novel differentially expressed lncRNA expression profile signature to assess the survival of patients with colorectal adenocarcinoma. Oncotarget. 2017;8:16811-16828. [PMID: 28187432 DOI: 10.18632/oncotarget.15161] [Cited by in Crossref: 56] [Cited by in F6Publishing: 60] [Article Influence: 11.2] [Reference Citation Analysis]
20 Huang R, Liao X, Li Q. Identification and validation of potential prognostic gene biomarkers for predicting survival in patients with acute myeloid leukemia. Onco Targets Ther 2017;10:5243-54. [PMID: 29138577 DOI: 10.2147/OTT.S147717] [Cited by in Crossref: 28] [Cited by in F6Publishing: 35] [Article Influence: 5.6] [Reference Citation Analysis]
21 Gao X, Wu Y, Yu W, Li H. Identification of a seven-miRNA signature as prognostic biomarker for lung squamous cell carcinoma. Oncotarget 2016;7:81670-9. [PMID: 27835574 DOI: 10.18632/oncotarget.13164] [Cited by in Crossref: 26] [Cited by in F6Publishing: 27] [Article Influence: 6.5] [Reference Citation Analysis]
22 Wald P, Liu XS, Pettit C, Dillhoff M, Manilchuk A, Schmidt C, Wuthrick E, Chen W, Williams TM. Prognostic value of microRNA expression levels in pancreatic adenocarcinoma: a review of the literature. Oncotarget 2017;8:73345-61. [PMID: 29069873 DOI: 10.18632/oncotarget.20277] [Cited by in Crossref: 16] [Cited by in F6Publishing: 17] [Article Influence: 3.2] [Reference Citation Analysis]
23 Yan F, Ying L, Li X, Qiao B, Meng Q, Yu L, Yuan X, Ren ST, Chan DW, Shi L, Ni P, Wang X, Xu D, Hu Y. Overexpression of the transcription factor ATF3 with a regulatory molecular signature associates with the pathogenic development of colorectal cancer. Oncotarget 2017;8:47020-36. [PMID: 28402947 DOI: 10.18632/oncotarget.16638] [Cited by in Crossref: 18] [Cited by in F6Publishing: 16] [Article Influence: 4.5] [Reference Citation Analysis]
24 Meng J, Cao L, Song H, Chen L, Qu Z. Integrated analysis of gene expression and DNA methylation datasets identified key genes and a 6-gene prognostic signature for primary lung adenocarcinoma. Genet Mol Biol 2021;44:e20200465. [PMID: 34787244 DOI: 10.1590/1678-4685-GMB-2020-0465] [Reference Citation Analysis]
25 Zhang H, Zhu M, Du Y, Zhang H, Zhang Q, Liu Q, Huang Z, Zhang L, Li H, Xu L, Zhou X, Zhu W, Shu Y, Liu P. A Panel of 12-lncRNA Signature Predicts Survival of Pancreatic Adenocarcinoma. J Cancer 2019;10:1550-9. [PMID: 31031865 DOI: 10.7150/jca.27823] [Cited by in Crossref: 10] [Cited by in F6Publishing: 11] [Article Influence: 3.3] [Reference Citation Analysis]
26 Mortoglou M, Manić L, Buha Djordjevic A, Bulat Z, Đorđević V, Manis K, Valle E, York L, Wallace D, Uysal-Onganer P. Nickel's Role in Pancreatic Ductal Adenocarcinoma: Potential Involvement of microRNAs. Toxics 2022;10:148. [PMID: 35324773 DOI: 10.3390/toxics10030148] [Reference Citation Analysis]
27 Liu X, Wu J, Zhang D, Bing Z, Tian J, Ni M, Zhang X, Meng Z, Liu S. Identification of Potential Key Genes Associated With the Pathogenesis and Prognosis of Gastric Cancer Based on Integrated Bioinformatics Analysis. Front Genet. 2018;9:265. [PMID: 30065754 DOI: 10.3389/fgene.2018.00265] [Cited by in Crossref: 57] [Cited by in F6Publishing: 60] [Article Influence: 14.3] [Reference Citation Analysis]
28 Dou D, Yang S, Lin Y, Zhang J. An eight-miRNA signature expression-based risk scoring system for prediction of survival in pancreatic adenocarcinoma. Cancer Biomark 2018;23:79-93. [PMID: 29991127 DOI: 10.3233/CBM-181420] [Cited by in Crossref: 7] [Cited by in F6Publishing: 5] [Article Influence: 1.8] [Reference Citation Analysis]
29 Zhou X, Lu Z, Wang T, Huang Z, Zhu W, Miao Y. Plasma miRNAs in diagnosis and prognosis of pancreatic cancer: A miRNA expression analysis. Gene. 2018;673:181-193. [PMID: 29913239 DOI: 10.1016/j.gene.2018.06.037] [Cited by in Crossref: 45] [Cited by in F6Publishing: 50] [Article Influence: 11.3] [Reference Citation Analysis]
30 Liao X, Zhu G, Huang R, Yang C, Wang X, Huang K, Yu T, Han C, Su H, Peng T. Identification of potential prognostic microRNA biomarkers for predicting survival in patients with hepatocellular carcinoma. Cancer Manag Res 2018;10:787-803. [PMID: 29713196 DOI: 10.2147/CMAR.S161334] [Cited by in Crossref: 21] [Cited by in F6Publishing: 25] [Article Influence: 5.3] [Reference Citation Analysis]
31 Wu Y, Li Q, Zhang R, Dai X, Chen W, Xing D. Circulating microRNAs: Biomarkers of disease. Clin Chim Acta 2021;516:46-54. [PMID: 33485903 DOI: 10.1016/j.cca.2021.01.008] [Cited by in Crossref: 5] [Cited by in F6Publishing: 6] [Article Influence: 5.0] [Reference Citation Analysis]
32 Shan X, Zhang H, Zhang L, Zhou X, Wang T, Zhang J, Shu Y, Zhu W, Wen W, Liu P. Identification of four plasma microRNAs as potential biomarkers in the diagnosis of male lung squamous cell carcinoma patients in China. Cancer Med 2018;7:2370-81. [PMID: 29673101 DOI: 10.1002/cam4.1490] [Cited by in Crossref: 16] [Cited by in F6Publishing: 19] [Article Influence: 4.0] [Reference Citation Analysis]
33 Lv X, Zhao Y, Zhang L, Zhou S, Zhang B, Zhang Q, Jiang L, Li X, Wu H, Zhao L, Wei M, He M. Development of a novel gene signature in patients without Helicobacter pylori infection gastric cancer. J Cell Biochem 2020;121:1842-54. [PMID: 31633246 DOI: 10.1002/jcb.29419] [Cited by in Crossref: 1] [Cited by in F6Publishing: 3] [Article Influence: 0.3] [Reference Citation Analysis]
34 Fan CN, Ma L, Liu N. Comprehensive analysis of novel three-long noncoding RNA signatures as a diagnostic and prognostic biomarkers of human triple-negative breast cancer. J Cell Biochem 2019;120:3185-96. [PMID: 30203490 DOI: 10.1002/jcb.27584] [Cited by in Crossref: 14] [Cited by in F6Publishing: 15] [Article Influence: 3.5] [Reference Citation Analysis]
35 Chhatriya B, Mukherjee M, Ray S, Sarkar P, Chatterjee S, Nath D, Das K, Goswami S. Comparison of tumour and serum specific microRNA changes dissecting their role in pancreatic ductal adenocarcinoma: a meta-analysis. BMC Cancer 2019;19:1175. [PMID: 31795960 DOI: 10.1186/s12885-019-6380-z] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.7] [Reference Citation Analysis]
36 Bergquist JR, Murphy BL, Storlie CB, Habermann EB, Boughey JC. Incorporation of Treatment Response, Tumor Grade and Receptor Status Improves Staging Quality in Breast Cancer Patients Treated with Neoadjuvant Chemotherapy. Ann Surg Oncol 2017;24:3510-7. [DOI: 10.1245/s10434-017-6010-4] [Cited by in Crossref: 12] [Cited by in F6Publishing: 12] [Article Influence: 2.4] [Reference Citation Analysis]
37 Jacob H, Stanisavljevic L, Storli KE, Hestetun KE, Dahl O, Myklebust MP. Identification of a sixteen-microRNA signature as prognostic biomarker for stage II and III colon cancer. Oncotarget 2017;8:87837-47. [PMID: 29152124 DOI: 10.18632/oncotarget.21237] [Cited by in Crossref: 26] [Cited by in F6Publishing: 31] [Article Influence: 5.2] [Reference Citation Analysis]
38 Liang L, Wei DM, Li JJ, Luo DZ, Chen G, Dang YW, Cai XY. Prognostic microRNAs and their potential molecular mechanism in pancreatic cancer: A study based on The Cancer Genome Atlas and bioinformatics investigation. Mol Med Rep 2018;17:939-51. [PMID: 29115476 DOI: 10.3892/mmr.2017.7945] [Cited by in Crossref: 8] [Cited by in F6Publishing: 20] [Article Influence: 1.6] [Reference Citation Analysis]
39 Yu Y, Feng X, Cang S. A two-microRNA signature as a diagnostic and prognostic marker of pancreatic adenocarcinoma. Cancer Manag Res 2018;10:1507-15. [PMID: 29942152 DOI: 10.2147/CMAR.S158712] [Cited by in Crossref: 9] [Cited by in F6Publishing: 8] [Article Influence: 2.3] [Reference Citation Analysis]
40 Wu W, Sui J, Liu T, Yang S, Xu S, Zhang M, Huang S, Yin L, Pu Y, Liang G. Integrated analysis of two-lncRNA signature as a potential prognostic biomarker in cervical cancer: a study based on public database. PeerJ 2019;7:e6761. [PMID: 31065456 DOI: 10.7717/peerj.6761] [Cited by in Crossref: 17] [Cited by in F6Publishing: 16] [Article Influence: 5.7] [Reference Citation Analysis]
41 Tang RX, Chen WJ, He RQ, Zeng JH, Liang L, Li SK, Ma J, Luo DZ, Chen G. Identification of a RNA-Seq based prognostic signature with five lncRNAs for lung squamous cell carcinoma. Oncotarget 2017;8:50761-73. [PMID: 28881601 DOI: 10.18632/oncotarget.17098] [Cited by in Crossref: 32] [Cited by in F6Publishing: 36] [Article Influence: 6.4] [Reference Citation Analysis]
42 Olmedo-suárez MÁ, Ramírez-díaz I, Pérez-gonzález A, Molina-herrera A, Coral-garcía MÁ, Lobato S, Sarvari P, Barreto G, Rubio K. Epigenetic Regulation in Exposome-Induced Tumorigenesis: Emerging Roles of ncRNAs. Biomolecules 2022;12:513. [DOI: 10.3390/biom12040513] [Reference Citation Analysis]
43 Miao Y, Sui J, Xu SY, Liang GY, Pu YP, Yin LH. Comprehensive analysis of a novel four-lncRNA signature as a prognostic biomarker for human gastric cancer. Oncotarget 2017;8:75007-24. [PMID: 29088841 DOI: 10.18632/oncotarget.20496] [Cited by in Crossref: 21] [Cited by in F6Publishing: 26] [Article Influence: 4.2] [Reference Citation Analysis]
44 Xu Z, Chen Z, Peng M, Zhang Z, Luo W, Shi R, Wang L, Hong Y. MicroRNA MiR-490-5p suppresses pancreatic cancer through regulating epithelial-mesenchymal transition via targeting MAGI2 antisense RNA 3. Bioengineered 2022;13:2673-85. [PMID: 35043728 DOI: 10.1080/21655979.2021.2024653] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
45 Li XH, Shi AJ, Li J, Yuan HF. Plasma miR-6089 as potential diagnostic biomarker for retinoblastoma. Int Ophthalmol 2021;41:2505-12. [PMID: 33772700 DOI: 10.1007/s10792-021-01808-y] [Reference Citation Analysis]