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For: Liu TT, Li R, Huo C, Li JP, Yao J, Ji XL, Qu YQ. Identification of CDK2-Related Immune Forecast Model and ceRNA in Lung Adenocarcinoma, a Pan-Cancer Analysis. Front Cell Dev Biol 2021;9:682002. [PMID: 34409029 DOI: 10.3389/fcell.2021.682002] [Cited by in Crossref: 7] [Cited by in F6Publishing: 10] [Article Influence: 3.5] [Reference Citation Analysis]
Number Citing Articles
1 Lu W, Huang J, Shen Q, Sun F, Li J. Identification of diagnostic biomarkers for idiopathic pulmonary hypertension with metabolic syndrome by bioinformatics and machine learning. Sci Rep 2023;13:615. [PMID: 36635413 DOI: 10.1038/s41598-023-27435-4] [Reference Citation Analysis]
2 Li N, Wang H, Gao X. Risk factors for additional postoperative adjuvant therapy in patients with locally advanced cervical cancer and construction of a risk model. Am J Transl Res 2022;14:8959-68. [PMID: 36628195] [Reference Citation Analysis]
3 Di H, Zhao J, Zhu X, Zhou X, Hu Y, Wang M, Qiu Z, Zhang W, Chen X. A novel prognostic signature for lung adenocarcinoma based on cuproptosis-related lncRNAs: A Review. Medicine (Baltimore) 2022;101:e31924. [PMID: 36626411 DOI: 10.1097/MD.0000000000031924] [Reference Citation Analysis]
4 Qi D, Li H, Wang S, Wang S, Zheng R, Liu N, Han B, Liu L. Construction of ceRNA network and key gene screening in cervical squamous intraepithelial lesions. Medicine (Baltimore) 2022;101:e31928. [PMID: 36482542 DOI: 10.1097/MD.0000000000031928] [Reference Citation Analysis]
5 Huang Z, Chen Z, Wang R, Li Y. Identification of key genes in hepatitis B and Pan-Cancer Analysis of RHOB.. [DOI: 10.21203/rs.3.rs-2255720/v1] [Reference Citation Analysis]
6 Ghafouri-Fard S, Khoshbakht T, Hussen BM, Dong P, Gassler N, Taheri M, Baniahmad A, Dilmaghani NA. A review on the role of cyclin dependent kinases in cancers. Cancer Cell Int 2022;22:325. [PMID: 36266723 DOI: 10.1186/s12935-022-02747-z] [Reference Citation Analysis]
7 Wang X, Pei Z, Hao T, Ariben J, Li S, He W, Kong X, Chang J, Zhao Z, Zhang B. Prognostic analysis and validation of diagnostic marker genes in patients with osteoporosis. Front Immunol 2022;13:987937. [DOI: 10.3389/fimmu.2022.987937] [Reference Citation Analysis]
8 Liu X, Li J, Wang Q, Bai L, Xing J, Hu X, Li S, Li Q. Analysis on heterogeneity of hepatocellular carcinoma immune cells and a molecular risk model by integration of scRNA-seq and bulk RNA-seq. Front Immunol 2022;13:1012303. [DOI: 10.3389/fimmu.2022.1012303] [Reference Citation Analysis]
9 Wang Y, Sun Z, Lu S, Zhang X, Xiao C, Li T, Wu J. Identification of PLAUR-related ceRNA and immune prognostic signature for kidney renal clear cell carcinoma. Front Oncol 2022;12:834524. [DOI: 10.3389/fonc.2022.834524] [Reference Citation Analysis]
10 Gu H, Song J, Chen Y, Wang Y, Tan X, Zhao H. Inflammation-Related LncRNAs Signature for Prognosis and Immune Response Evaluation in Uterine Corpus Endometrial Carcinoma. Front Oncol 2022;12:923641. [PMID: 35719911 DOI: 10.3389/fonc.2022.923641] [Reference Citation Analysis]
11 Cai W, Jing M, Wen J, Guo H, Xue Z. Epigenetic Alterations of DNA Methylation and miRNA Contribution to Lung Adenocarcinoma. Front Genet 2022;13:817552. [PMID: 35711943 DOI: 10.3389/fgene.2022.817552] [Reference Citation Analysis]
12 Wang B, Liu L, Wu J, Mao X, Fang Z, Chen Y, Li W. Construction and Verification of a Combined Hypoxia and Immune Index for Clear Cell Renal Cell Carcinoma. Front Genet 2022;13:711142. [DOI: 10.3389/fgene.2022.711142] [Reference Citation Analysis]
13 Chen Q, Yang S, Zhang Y, Li B, Xu H, Zuo S, Yang Z. Identification of MAD2L1 as a Potential Biomarker in Hepatocellular Carcinoma via Comprehensive Bioinformatics Analysis. BioMed Research International 2022;2022:1-12. [DOI: 10.1155/2022/9868022] [Reference Citation Analysis]
14 Yi J, Zhong W, Wu H, Feng J, Zouxu X, Huang X, Li S, Shuang Z. Identification of Key Genes Affecting the Tumor Microenvironment and Prognosis of Triple-Negative Breast Cancer. Front Oncol 2021;11:746058. [PMID: 34745969 DOI: 10.3389/fonc.2021.746058] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]