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Cited by in F6Publishing
For: Shi GJ, Zhou Q, Zhu Q, Wang L, Jiang GQ. A novel prognostic model associated with the overall survival in patients with breast cancer based on lipid metabolism-related long noncoding RNAs. J Clin Lab Anal 2022;:e24384. [PMID: 35441740 DOI: 10.1002/jcla.24384] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
Number Citing Articles
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2 Qiu P, Guo Q, Lin J, Pan K, Chen J, Ding M. An exosome-related long non-coding RNAs risk model could predict survival outcomes in patients with breast cancer. Sci Rep 2022;12:22322. [PMID: 36566321 DOI: 10.1038/s41598-022-26894-5] [Reference Citation Analysis]
3 Zhang K, Zhang C, Wang K, Teng X, Chen M. Identifying diagnostic markers and constructing a prognostic model for small-cell lung cancer based on blood exosome-related genes and machine-learning methods. Front Oncol 2022;12:1077118. [PMID: 36620585 DOI: 10.3389/fonc.2022.1077118] [Reference Citation Analysis]
4 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]
5 Gao S, Wu X, Lou X, Cui W. Identification of a prognostic risk-scoring model and risk signatures based on glycosylation-associated cluster in breast cancer. Front Genet 2022;13:960567. [DOI: 10.3389/fgene.2022.960567] [Reference Citation Analysis]
6 Lv W, Tan Y, Zhou X, Zhang Q, Zhang J, Wu Y. Landscape of prognosis and immunotherapy responsiveness under tumor glycosylation-related lncRNA patterns in breast cancer. Front Immunol 2022;13:989928. [DOI: 10.3389/fimmu.2022.989928] [Reference Citation Analysis]