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For: Ma L, Liang Z, Zhou H, Qu L. Applications of RNA Indexes for Precision Oncology in Breast Cancer. Genomics Proteomics Bioinformatics 2018;16:108-19. [PMID: 29753129 DOI: 10.1016/j.gpb.2018.03.002] [Cited by in Crossref: 10] [Cited by in F6Publishing: 10] [Article Influence: 2.0] [Reference Citation Analysis]
Number Citing Articles
1 Liao J, Li X, Gan Y, Han S, Rong P, Wang W, Li W, Zhou L. Artificial intelligence assists precision medicine in cancer treatment. Front Oncol 2022;12:998222. [PMID: 36686757 DOI: 10.3389/fonc.2022.998222] [Reference Citation Analysis]
2 Min Y, Feng Y, Luo H, Hu D, Wei X, He D, Yin G, Fan S. Identifying and Validating of an Autophagy-Related Gene Signature for the Prediction of Early Relapse in Breast Cancer. Front Endocrinol (Lausanne) 2022;13:824362. [PMID: 35250881 DOI: 10.3389/fendo.2022.824362] [Reference Citation Analysis]
3 Buzdin A, Tkachev V, Zolotovskaia M, Garazha A, Moshkovskii S, Borisov N, Gaifullin N, Sorokin M, Suntsova M. Using proteomic and transcriptomic data to assess activation of intracellular molecular pathways. Adv Protein Chem Struct Biol 2021;127:1-53. [PMID: 34340765 DOI: 10.1016/bs.apcsb.2021.02.005] [Cited by in Crossref: 4] [Cited by in F6Publishing: 5] [Article Influence: 2.0] [Reference Citation Analysis]
4 Tian Z, Liang G, Cui K, Liang Y, Wang Q, Lv S, Cheng X, Zhang L. Insight Into the Prospects for RNAi Therapy of Cancer. Front Pharmacol 2021;12:644718. [PMID: 33796026 DOI: 10.3389/fphar.2021.644718] [Cited by in Crossref: 16] [Cited by in F6Publishing: 20] [Article Influence: 8.0] [Reference Citation Analysis]
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6 Toda H, Seki N, Kurozumi S, Shinden Y, Yamada Y, Nohata N, Moriya S, Idichi T, Maemura K, Fujii T, Horiguchi J, Kijima Y, Natsugoe S. RNA-sequence-based microRNA expression signature in breast cancer: tumor-suppressive miR-101-5p regulates molecular pathogenesis. Mol Oncol 2020;14:426-46. [PMID: 31755218 DOI: 10.1002/1878-0261.12602] [Cited by in Crossref: 36] [Cited by in F6Publishing: 37] [Article Influence: 9.0] [Reference Citation Analysis]
7 Zhang X, Zhao H, Zhang Y, Yang X, Zhang J, Yi M, Zhang C. The MicroRNA-382-5p/MXD1 Axis Relates to Breast Cancer Progression and Promotes Cell Malignant Phenotypes. J Surg Res 2020;246:442-9. [PMID: 31635836 DOI: 10.1016/j.jss.2019.09.018] [Cited by in Crossref: 8] [Cited by in F6Publishing: 9] [Article Influence: 2.0] [Reference Citation Analysis]
8 Buzdin A, Sorokin M, Garazha A, Glusker A, Aleshin A, Poddubskaya E, Sekacheva M, Kim E, Gaifullin N, Giese A, Seryakov A, Rumiantsev P, Moshkovskii S, Moiseev A. RNA sequencing for research and diagnostics in clinical oncology. Semin Cancer Biol 2020;60:311-23. [PMID: 31412295 DOI: 10.1016/j.semcancer.2019.07.010] [Cited by in Crossref: 36] [Cited by in F6Publishing: 32] [Article Influence: 9.0] [Reference Citation Analysis]
9 Liang Y, Wang S, Liu J. Overexpression of Tumor Protein p53-regulated Apoptosis-inducing Protein 1 Regulates Proliferation and Apoptosis of Breast Cancer Cells through the PI3K/Akt Pathway. J Breast Cancer 2019;22:172-84. [PMID: 31281721 DOI: 10.4048/jbc.2019.22.e21] [Cited by in Crossref: 8] [Cited by in F6Publishing: 9] [Article Influence: 2.0] [Reference Citation Analysis]
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11 Dong B, Liang Z, Chen Z, Li B, Zheng L, Yang J, Zhou H, Qu L. Cryptotanshinone suppresses key onco-proliferative and drug-resistant pathways of chronic myeloid leukemia by targeting STAT5 and STAT3 phosphorylation. Sci China Life Sci 2018;61:999-1009. [DOI: 10.1007/s11427-018-9324-y] [Cited by in Crossref: 17] [Cited by in F6Publishing: 17] [Article Influence: 3.4] [Reference Citation Analysis]