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For: Xing S, Wang Y, Hu K, Wang F, Sun T, Li Q. WGCNA reveals key gene modules regulated by the combined treatment of colon cancer with PHY906 and CPT11. Biosci Rep 2020;40:BSR20200935. [PMID: 32812032 DOI: 10.1042/BSR20200935] [Cited by in Crossref: 8] [Cited by in F6Publishing: 7] [Article Influence: 4.0] [Reference Citation Analysis]
Number Citing Articles
1 Lu Y, Wang X, Gu Q, Wang J, Sui Y, Wu J, Feng J. Heterogeneous nuclear ribonucleoprotein A/B: an emerging group of cancer biomarkers and therapeutic targets. Cell Death Discov 2022;8:337. [PMID: 35879279 DOI: 10.1038/s41420-022-01129-8] [Reference Citation Analysis]
2 Cui H, Ma R, Hu T, Xiao GG, Wu C. Bioinformatics Analysis Highlights Five Differentially Expressed Genes as Prognostic Biomarkers of Cervical Cancer and Novel Option for Anticancer Treatment. Front Cell Infect Microbiol 2022;12:926348. [DOI: 10.3389/fcimb.2022.926348] [Reference Citation Analysis]
3 Jiang RY, Wang T, Lan QY, Qin YC, Man TT, Sun H, Li ZL, Zhong XT, Mo CM, Rong Z. BuFeiXiaoJiYin ameliorates the NLRP3 inflammation response and gut microbiota in mice with lung cancer companied with Qi-yin deficiency. Cancer Cell Int 2022;22:121. [PMID: 35292015 DOI: 10.1186/s12935-022-02543-9] [Reference Citation Analysis]
4 Jiang MM, Zhao F, Lou TT. Assessment of Significant Pathway Signaling and Prognostic Value of GNG11 in Ovarian Serous Cystadenocarcinoma. Int J Gen Med 2021;14:2329-41. [PMID: 34113163 DOI: 10.2147/IJGM.S314911] [Reference Citation Analysis]
5 Kui L, Kong Q, Yang X, Pan Y, Xu Z, Wang S, Chen J, Wei K, Zhou X, Yang X, Wu T, Mastan A, Liu Y, Miao J. High-Throughput In Vitro Gene Expression Profile to Screen of Natural Herbals for Breast Cancer Treatment. Front Oncol 2021;11:684351. [PMID: 34490085 DOI: 10.3389/fonc.2021.684351] [Reference Citation Analysis]
6 Huang C, Luo H, Huang Y, Fang C, Zhao L, Li P, Zhong C, Liu F. AURKB, CHEK1 and NEK2 as the Potential Target Proteins of Scutellaria barbata on Hepatocellular Carcinoma: An Integrated Bioinformatics Analysis. Int J Gen Med 2021;14:3295-312. [PMID: 34285555 DOI: 10.2147/IJGM.S318077] [Reference Citation Analysis]
7 Zou T, Liu W, Wang Z, Chen J, Lu S, Huang K, Li W. C3AR1 mRNA as a Potential Therapeutic Target Associates With Clinical Outcomes and Tumor Microenvironment in Osteosarcoma. Front Med (Lausanne) 2021;8:642615. [PMID: 33748161 DOI: 10.3389/fmed.2021.642615] [Reference Citation Analysis]
8 Luo Y, Sun F, Peng X, Dong D, Ou W, Xie Y, Luo Y. Integrated Bioinformatics Analysis to Identify Abnormal Methylated Differentially Expressed Genes for Predicting Prognosis of Human Colon Cancer. Int J Gen Med 2021;14:4745-56. [PMID: 34466019 DOI: 10.2147/IJGM.S324483] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
9 Ta HDK, Wang WJ, Phan NN, An Ton NT, Anuraga G, Ku SC, Wu YF, Wang CY, Lee KH. Potential Therapeutic and Prognostic Values of LSM Family Genes in Breast Cancer. Cancers (Basel) 2021;13:4902. [PMID: 34638387 DOI: 10.3390/cancers13194902] [Cited by in Crossref: 3] [Article Influence: 3.0] [Reference Citation Analysis]
10 Kui L, Li M, Yang X, Yang L, Kong Q, Pan Y, Xu Z, Wang S, Mo D, Dong Y, Liu Y, Miao J. High-Throughput Screen of Natural Compounds and Biomarkers for NSCLC Treatment by Differential Expression and Weighted Gene Coexpression Network Analysis (WGCNA). Biomed Res Int 2021;2021:5955343. [PMID: 34485520 DOI: 10.1155/2021/5955343] [Reference Citation Analysis]
11 Wang Q, Yu X, Yang N, Xu L, Zhou Y. LncRNA AC007255.1, an immune-related prognostic enhancer RNA in esophageal cancer. PeerJ 2021;9:e11698. [PMID: 34316393 DOI: 10.7717/peerj.11698] [Reference Citation Analysis]
12 Li M, Zhang J, Zhang Z, Qian Y, Qu W, Jiang Z, Zhao B. Identification of Transcriptional Pattern Related to Immune Cell Infiltration With Gene Co-Expression Network in Papillary Thyroid Cancer. Front Endocrinol 2022;13:721569. [DOI: 10.3389/fendo.2022.721569] [Reference Citation Analysis]
13 Li S, Chen B, Chen H, Hua Z, Shao Y, Yin H, Wang J. Analysis of potential genetic biomarkers and molecular mechanism of smoking-related postmenopausal osteoporosis using weighted gene co-expression network analysis and machine learning. PLoS One 2021;16:e0257343. [PMID: 34555052 DOI: 10.1371/journal.pone.0257343] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]