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For: Li C, Zhou D, Jiang X, Liu M, Tang H, Mei Z. Identifying hepatocellular carcinoma-related hub genes by bioinformatics analysis and CYP2C8 is a potential prognostic biomarker. Gene 2019;698:9-18. [PMID: 30825595 DOI: 10.1016/j.gene.2019.02.062] [Cited by in Crossref: 10] [Cited by in F6Publishing: 10] [Article Influence: 3.3] [Reference Citation Analysis]
Number Citing Articles
1 Zhou X, Li TM, Luo JZ, Lan CL, Wei ZL, Fu TH, Liao XW, Zhu GZ, Ye XP, Peng T. CYP2C8 Suppress Proliferation, Migration, Invasion and Sorafenib Resistance of Hepatocellular Carcinoma via PI3K/Akt/p27kip1 Axis. J Hepatocell Carcinoma 2021;8:1323-38. [PMID: 34765572 DOI: 10.2147/JHC.S335425] [Reference Citation Analysis]
2 Zhang YM, Meng LB, Yu SJ, Ma DX. Identification of potential crucial genes in monocytes for atherosclerosis using bioinformatics analysis. J Int Med Res 2020;48:300060520909277. [PMID: 32314637 DOI: 10.1177/0300060520909277] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
3 Wang G, Zou H, Feng Y, Zhao W, Li K, Liu K, Zhang B, Zhu C. A Novel Four-Gene Signature as a Potential Prognostic Biomarker for Hepatocellular Carcinoma. J Oncol 2021;2021:1452801. [PMID: 34950206 DOI: 10.1155/2021/1452801] [Reference Citation Analysis]
4 Li H, Wang X, Tang J, Zhao H, Duan M. Decreased expression levels of ELOVL6 indicate poor prognosis in hepatocellular carcinoma. Oncol Lett 2019;18:6214-20. [PMID: 31788097 DOI: 10.3892/ol.2019.10974] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
5 Ouyang X, Fan Q, Ling G, Shi Y, Hu F. Identification of Diagnostic Biomarkers and Subtypes of Liver Hepatocellular Carcinoma by Multi-Omics Data Analysis. Genes (Basel) 2020;11:E1051. [PMID: 32899915 DOI: 10.3390/genes11091051] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
6 Liu T, Meng J, Zhang Y. miR‑592 acts as an oncogene and promotes medullary thyroid cancer tumorigenesis by targeting cyclin‑dependent kinase 8. Mol Med Rep 2020;22:3316-26. [PMID: 32945439 DOI: 10.3892/mmr.2020.11392] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
7 Zeng L, Fan X, Wang X, Deng H, Zhang K, Zhang X, He S, Li N, Han Q, Liu Z. Bioinformatics Analysis based on Multiple Databases Identifies Hub Genes Associated with Hepatocellular Carcinoma. Curr Genomics 2019;20:349-61. [PMID: 32476992 DOI: 10.2174/1389202920666191011092410] [Cited by in Crossref: 6] [Cited by in F6Publishing: 11] [Article Influence: 2.0] [Reference Citation Analysis]
8 Li Y, Chen R, Yang J, Mo S, Quek K, Kok CH, Cheng XD, Tian S, Zhang W, Qin JJ. Integrated Bioinformatics Analysis Reveals Key Candidate Genes and Pathways Associated With Clinical Outcome in Hepatocellular Carcinoma. Front Genet 2020;11:814. [PMID: 32849813 DOI: 10.3389/fgene.2020.00814] [Cited by in Crossref: 1] [Article Influence: 0.5] [Reference Citation Analysis]
9 Gorji-Bahri G, Moghimi HR, Hashemi A. RAB5A is associated with genes involved in exosome secretion: Integration of bioinformatics analysis and experimental validation. J Cell Biochem 2021;122:425-41. [PMID: 33225526 DOI: 10.1002/jcb.29871] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.5] [Reference Citation Analysis]
10 Hu DG, Mackenzie PI, Nair PC, McKinnon RA, Meech R. The Expression Profiles of ADME Genes in Human Cancers and Their Associations with Clinical Outcomes. Cancers (Basel) 2020;12:E3369. [PMID: 33202946 DOI: 10.3390/cancers12113369] [Cited by in Crossref: 3] [Cited by in F6Publishing: 4] [Article Influence: 1.5] [Reference Citation Analysis]
11 Meng Z, Wu J, Liu X, Zhou W, Ni M, Liu S, Guo S, Jia S, Zhang J. Identification of potential hub genes associated with the pathogenesis and prognosis of hepatocellular carcinoma via integrated bioinformatics analysis. J Int Med Res 2020;48:300060520910019. [PMID: 32722976 DOI: 10.1177/0300060520910019] [Cited by in Crossref: 5] [Cited by in F6Publishing: 4] [Article Influence: 5.0] [Reference Citation Analysis]
12 Liang MK, Liang XQ, Zhong J, Wei YT, Lian ZP, Huang ZK, Liang J. Integrative analysis of epigenomics, transcriptomics, and proteomics to identify key targets and pathways of Weining granule for gastric cancer. J Ethnopharmacol 2021;270:113787. [PMID: 33422657 DOI: 10.1016/j.jep.2021.113787] [Reference Citation Analysis]