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Cited by in F6Publishing
For: Yang A, Wu M, Ni M, Zhang L, Li M, Wei P, Yang Y, Xiao W, An X. A risk scoring system based on tumor microenvironment cells to predict prognosis and immune activity in triple-negative breast cancer. Breast Cancer. [DOI: 10.1007/s12282-021-01326-w] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
Number Citing Articles
1 Gou Q, Liu Z, Xie Y, Deng Y, Ma J, Li J, Zheng H. Systematic evaluation of tumor microenvironment and construction of a machine learning model to predict prognosis and immunotherapy efficacy in triple-negative breast cancer based on data mining and sequencing validation. Front Pharmacol 2022;13:995555. [DOI: 10.3389/fphar.2022.995555] [Reference Citation Analysis]
2 Staros R, Michalak A, Rusinek K, Mucha K, Pojda Z, Zagożdżon R. Perspectives for 3D-Bioprinting in Modeling of Tumor Immune Evasion. Cancers (Basel) 2022;14. [PMID: 35804898 DOI: 10.3390/cancers14133126] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
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