BPG is committed to discovery and dissemination of knowledge
Cited by in F6Publishing
For: Li Q, Zhang LY, Wu S, Huang C, Liu J, Wang P, Cao Y. Bioinformatics Analysis Identifies MicroRNAs and Target Genes Associated with Prognosis in Patients with Melanoma. Med Sci Monit 2019;25:7784-94. [PMID: 31621692 DOI: 10.12659/MSM.917082] [Cited by in Crossref: 6] [Cited by in F6Publishing: 9] [Article Influence: 2.0] [Reference Citation Analysis]
Number Citing Articles
1 Jorge AL, Pereira ER, Oliveira CS, Ferreira EDS, Menon ETN, Diniz SN, Pezuk JA. MicroRNAs: understanding their role in gene expression and cancer. Einstein (Sao Paulo) 2021;19:eRB5996. [PMID: 34287566 DOI: 10.31744/einstein_journal/2021RB5996] [Reference Citation Analysis]
2 Liu TT, Li R, Liu X, Zhou XJ, Huo C, Li JP, Qu YQ. LncRNA XIST acts as a MicroRNA-520 sponge to regulate the Cisplatin resistance in NSCLC cells by mediating BAX through CeRNA network. Int J Med Sci 2021;18:419-31. [PMID: 33390811 DOI: 10.7150/ijms.49730] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
3 Wang Z, Liu Y. MicroRNA-633 enhances melanoma cell proliferation and migration by suppressing KAI1. Oncol Lett 2021;21:88. [PMID: 33376521 DOI: 10.3892/ol.2020.12349] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
4 Pang W, Huang F, Zhang X, Ye M, Huang Y, Huang X, Pang J, Cai C, Wang Z. Circular RNA hsa_circ_0072309 inhibits non-small cell lung cancer progression by sponging miR-580-3p. Biosci Rep 2020;40:BSR20194237. [PMID: 32293004 DOI: 10.1042/BSR20194237] [Cited by in Crossref: 8] [Cited by in F6Publishing: 5] [Article Influence: 8.0] [Reference Citation Analysis]
5 Han Y, Li X, Yan J, Ma C, Wang X, Pan H, Zheng X, Zhang Z, Gao B, Ji XY. Bioinformatic Analysis Identifies Potential Key Genes in the Pathogenesis of Melanoma. Front Oncol 2020;10:581985. [PMID: 33178610 DOI: 10.3389/fonc.2020.581985] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
6 Deng G, Wang W, Li Y, Sun H, Chen X, Zeng F. Nomogram based on autophagy related genes for predicting the survival in melanoma. BMC Cancer 2021;21:1258. [PMID: 34809598 DOI: 10.1186/s12885-021-08928-9] [Reference Citation Analysis]
7 Xue D, Cheng P, Jiang J, Ren Y, Wu D, Chen W. Systemic Analysis of the Prognosis-Related RNA Alternative Splicing Signals in Melanoma. Med Sci Monit 2020;26:e921133. [PMID: 32199022 DOI: 10.12659/MSM.921133] [Cited by in Crossref: 2] [Cited by in F6Publishing: 4] [Article Influence: 1.0] [Reference Citation Analysis]
8 Xiong J, Xue Y, Xia Y, Zhao J, Wang Y. Identification of key microRNAs of plasma extracellular vesicles and their diagnostic and prognostic significance in melanoma. Open Med (Wars) 2020;15:464-82. [PMID: 33313406 DOI: 10.1515/med-2020-0111] [Reference Citation Analysis]
9 Dai H, Guo L, Lin M, Cheng Z, Li J, Tang J, Huan X, Huang Y, Xu K. Comprehensive analysis and identification of key genes and signaling pathways in the occurrence and metastasis of cutaneous melanoma. PeerJ 2020;8:e10265. [PMID: 33240619 DOI: 10.7717/peerj.10265] [Reference Citation Analysis]
10 Liu B, Yao S, Zhou J. Micro-RNA 122 and micro-RNA 96 affected human osteosarcoma biological behavior and associated with prognosis of patients with osteosarcoma. Biosci Rep 2020;40:BSR20201529. [PMID: 33078195 DOI: 10.1042/BSR20201529] [Reference Citation Analysis]