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Cited by in F6Publishing
For: Liu J, Li Y, Li Q, Liang D, Wang Q, Liu Q. Biomarkers of response to camrelizumab combined with apatinib: an analysis from a phase II trial in advanced triple-negative breast cancer patients. Breast Cancer Res Treat 2021;186:687-97. [PMID: 33634417 DOI: 10.1007/s10549-021-06128-4] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
Number Citing Articles
1 Tan Q, Yin S, Zhou D, Chi Y, Man X, Li H. Potential Predictive and Prognostic Value of Biomarkers Related to Immune Checkpoint Inhibitor Therapy of Triple-Negative Breast Cancer. Front Oncol 2022;12:779786. [DOI: 10.3389/fonc.2022.779786] [Reference Citation Analysis]
2 Li M, Xu J, Jiang C, Zhang J, Sun T. Predictive and Prognostic Role of Peripheral Blood T-Cell Subsets in Triple-Negative Breast Cancer. Front Oncol 2022;12:842705. [PMID: 35242718 DOI: 10.3389/fonc.2022.842705] [Reference Citation Analysis]
3 Tian Z, Niu X, Yao W. Efficacy and Response Biomarkers of Apatinib in the Treatment of Malignancies in China: A Review. Front Oncol 2021;11:749083. [PMID: 34676173 DOI: 10.3389/fonc.2021.749083] [Reference Citation Analysis]
4 Ma Q, Chen Y, Qin Q, Guo F, Wang Y, Li D. CXCL13 expression in mouse 4T1 breast cancer microenvironment elicits antitumor immune response by regulating immune cell infiltration. Precision Clinical Medicine 2021;4:155-67. [DOI: 10.1093/pcmedi/pbab020] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
5 Chen N, Higashiyama N, Hoyos V. Predictive Biomarkers of Immune Checkpoint Inhibitor Response in Breast Cancer: Looking beyond Tumoral PD-L1. Biomedicines 2021;9:1863. [PMID: 34944679 DOI: 10.3390/biomedicines9121863] [Reference Citation Analysis]
6 Cong Y, Liu J, Chen G, Qiao G. The Emerging Role of T-Cell Immunoglobulin Mucin-3 in Breast Cancer: A Promising Target For Immunotherapy. Front Oncol 2021;11:723238. [PMID: 34504800 DOI: 10.3389/fonc.2021.723238] [Reference Citation Analysis]