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Cited by in F6Publishing
For: Zhang J, Zhang S, Gao S, Ma Y, Tan X, Kang Y, Ren W. HIF-1α, TWIST-1 and ITGB-1, associated with Tumor Stiffness, as Novel Predictive Markers for the Pathological Response to Neoadjuvant Chemotherapy in Breast Cancer. Cancer Manag Res 2020;12:2209-22. [PMID: 32273760 DOI: 10.2147/CMAR.S246349] [Cited by in Crossref: 7] [Cited by in F6Publishing: 9] [Article Influence: 2.3] [Reference Citation Analysis]
Number Citing Articles
1 Ramírez-tortosa CL, Alonso-calderón R, Gálvez-navas JM, Pérez-ramírez C, Quiles JL, Sánchez-rovira P, Jiménez-morales A, Ramírez-tortosa M. Hypoxia-Inducible Factor-1 Alpha Expression Is Predictive of Pathological Complete Response in Patients with Breast Cancer Receiving Neoadjuvant Chemotherapy. Cancers 2022;14:5393. [DOI: 10.3390/cancers14215393] [Reference Citation Analysis]
2 Saha Detroja T, Detroja R, Mukherjee S, Samson AO. Identifying Hub Genes Associated with Neoadjuvant Chemotherapy Resistance in Breast Cancer and Potential Drug Repurposing for the Development of Precision Medicine. IJMS 2022;23:12628. [DOI: 10.3390/ijms232012628] [Reference Citation Analysis]
3 Kozal K, Krześlak A. The Role of Hypoxia-Inducible Factor Isoforms in Breast Cancer and Perspectives on Their Inhibition in Therapy. Cancers (Basel) 2022;14:4518. [PMID: 36139678 DOI: 10.3390/cancers14184518] [Reference Citation Analysis]
4 Kotb RM, Ibrahim SS, Mostafa OM, Shahin NN. Potential role of CXCR4 in trastuzumab resistance in breast cancer patients. Biochim Biophys Acta Mol Basis Dis 2022;1868:166520. [PMID: 35985446 DOI: 10.1016/j.bbadis.2022.166520] [Reference Citation Analysis]
5 Liu J, Wang X, Hu M, Zheng Y, Zhu L, Wang W, Hu J, Zhou Z, Dai Y, Dong F. Development of an ultrasound-based radiomics nomogram to preoperatively predict Ki-67 expression level in patients with breast cancer. Front Oncol 2022;12:963925. [DOI: 10.3389/fonc.2022.963925] [Reference Citation Analysis]
6 Ishihara S, Haga H. Matrix Stiffness Contributes to Cancer Progression by Regulating Transcription Factors. Cancers (Basel) 2022;14:1049. [PMID: 35205794 DOI: 10.3390/cancers14041049] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 6.0] [Reference Citation Analysis]
7 Zhang J, Gao S, Zheng Q, Kang Y, Li J, Zhang S, Shang C, Tan X, Ren W, Ma Y. A Novel Model Incorporating Tumor Stiffness, Blood Flow Characteristics, and Ki-67 Expression to Predict Responses After Neoadjuvant Chemotherapy in Breast Cancer. Front Oncol 2020;10:603574. [PMID: 33364197 DOI: 10.3389/fonc.2020.603574] [Cited by in Crossref: 3] [Cited by in F6Publishing: 4] [Article Influence: 1.0] [Reference Citation Analysis]