|
[1]
|
Ahmad, A. (2019) Breast Cancer Statistics: Recent Trends. In: Ahmad, A., Ed., Breast Cancer Metastasis and Drug Resistance. Advances in Experimental Medicine and Biology, Vol. 1152, Springer, Cham, 1-7. [Google Scholar] [CrossRef] [PubMed]
|
|
[2]
|
Law, A.M.K., Fuente, L.R., Grundy, T.J., et al. (2021) Advancements in 3D Cell Culture Systems for Personalizing Anti-Cancer Therapies. Frontiers in Oncology, 11, Article 782766. [Google Scholar] [CrossRef] [PubMed]
|
|
[3]
|
Fröhlich, E. (2023) The Variety of 3D Breast Cancer Models for the Study of Tumor Physiology and Drug Screening. International Journal of Molecular Sciences, 24, Article No. 7116. [Google Scholar] [CrossRef] [PubMed]
|
|
[4]
|
Sztankovics, D., Moldvai, D., Petővári, G., et al. (2023) 3D Bioprinting and the Revolution in Experimental Cancer Model Systems—A Review of Developing New Models and Experiences with in Vitro 3D Bioprinted Breast Cancer Tissue-Mimetic Structures. Pathology and Oncology Research, 29, Article ID: 1610996. [Google Scholar] [CrossRef] [PubMed]
|
|
[5]
|
Santiago, L., Volk, R.J., Checka, C.M., et al. (2021) Acceptability of 3D-Printed Breast Models and Their Impact on the Decisional Conflict of Breast Cancer Patients: A Feasibility Study. Journal of Surgical Oncology, 123, 1206-1214. [Google Scholar] [CrossRef] [PubMed]
|
|
[6]
|
Trivedi, P., Liu, R., Bi, H., et al. (2021) 3D Modeling of Epithelial Tumors—The Synergy between Materials Engineering, 3D Bioprinting, High-Content Imaging, and Nanotechnology. International Journal of Molecular Sciences, 22, Article No. 6225. [Google Scholar] [CrossRef] [PubMed]
|
|
[7]
|
Roberts, S., Peyman, S. and Speirs, V. (2019) Current and Emerging 3D Models to Study Breast Cancer. In: Ahmad, A., Ed., Breast Cancer Metastasis and Drug Resistance. Advances in Experimental Medicine and Biology, Vol. 1152, Springer, Cham, 413-427. [Google Scholar] [CrossRef] [PubMed]
|
|
[8]
|
Mittal, S., Brown, N.J. and Holen, I. (2018) The Breast Tumor Microenvironment: Role in Cancer Development, Progression and Response to Therapy. Expert Review of Molecular Diagnostics, 18, 227-243. [Google Scholar] [CrossRef] [PubMed]
|
|
[9]
|
李孟, 梁则徐, 李冠男, 等. 中医中药治疗乳腺癌的研究进展[J]. 中医药学报, 2023, 51(2): 103-108.
|
|
[10]
|
张梦秋, 高静东. 中医中药治疗乳腺癌临床进展分析[J]. 中西医结合心血管病电子杂志, 2020, 8(6): 30-31.
|
|
[11]
|
Jiang, H., Li, M., Du, K., et al. (2021) Traditional Chinese Medicine for Adjuvant Treatment of Breast Cancer: Taohong Siwu Decoction. Chinese Medicine, 16, Article No. 129. [Google Scholar] [CrossRef] [PubMed]
|
|
[12]
|
Lu, Y., Ding, Y., Wei, J., et al. (2021) Anticancer Effects of Traditional Chinese Medicine on Epithelial-Mesenchymal Transition (EMT) in Breast Cancer: Cellular and Molecular Targets. European Journal of Pharmacology, 907, Article ID: 174275. [Google Scholar] [CrossRef] [PubMed]
|
|
[13]
|
Yang, Z., Zhang, Q., Yu, L., et al. (2021) The Signaling Pathways and Targets of Traditional Chinese Medicine and Natural Medicine in Triple-Negative Breast Cancer. Journal of Ethnopharmacology, 264, Article ID: 113249. [Google Scholar] [CrossRef] [PubMed]
|
|
[14]
|
Sun, Y., Zhou, Q.-M., Lu, Y.-Y., et al. (2019) Resveratrol Inhibits the Migration and Metastasis of MDA-MB-231 Human Breast Cancer by Reversing TGF-β1-Induced Epithelial-Mesenchymal Transition. Molecules, 24, Article No. 1131. [Google Scholar] [CrossRef] [PubMed]
|
|
[15]
|
王真, 陈立伟. 白藜芦醇抗肿瘤药理作用机制研究进展.药物评价研究, 2023, 46(2): 445-451.
|
|
[16]
|
Wang, K., Chen, Q., Shao, Y., et al. (2021) Anticancer Activities of TCM and Their Active Components against Tumor Metastasis. Biomed Pharmacother, 133, Article ID: 111044. [Google Scholar] [CrossRef] [PubMed]
|
|
[17]
|
闵思丹, 王宇. 华蟾素在抗肿瘤作用机制中的研究进展[J]. 中医药学报, 2022, 50(11): 96-101.
|
|
[18]
|
Zhu, L., Chen, Y., Wei, C., et al. (2018) Anti-Proliferative and Pro-Apoptotic Effects of Cinobufagin on Human Breast Cancer MCF-7 Cells and Its Molecular Mechanism. Natural Product Research, 32, 493-497. [Google Scholar] [CrossRef] [PubMed]
|
|
[19]
|
Bhuskute, H., Shende, P. and Prabhakar, B. (2021) 3d Printed Personalized Medicine for Cancer: Applications for Betterment of Diagnosis, Prognosis and Treatment. AAPS PharmSciTech, 23, Article No. 8. [Google Scholar] [CrossRef] [PubMed]
|
|
[20]
|
Cheung, Y.T., Lee, H.H. and Chan, A. (2013) Exploring Clinical Determinants and Anxiety Symptom Domains among Asian Breast Cancer Patients. Supportive Care in Cancer, 21, 2185-2194. [Google Scholar] [CrossRef] [PubMed]
|
|
[21]
|
Phi, X.A., Tagliafico, A., Houssami, N., et al. (2018) Digital Breast Tomosynthesis for Breast Cancer Screening and Diagnosis in Women with Dense Breasts—A Systematic Review and Meta-Analysis. BMC Cancer, 18, Article No. 380. [Google Scholar] [CrossRef] [PubMed]
|
|
[22]
|
Furuta, S. and Bissell, M.J. (2016) Pathways Involved in Formation of Mammary Organoid Architecture Have Keys to Understanding Drug Resistance and to Discovery of Druggable Targets. Cold Spring Harbor Symposia on Quantitative Biology, 81, 207-217. [Google Scholar] [CrossRef] [PubMed]
|
|
[23]
|
Langer, E.M., Allen-Petersen, B.L., King, S.M., et al. (2019) Modeling Tumor Phenotypes in Vitro with Three-Di- mensional Bioprinting. Cell Reports, 26, 608-623. [Google Scholar] [CrossRef] [PubMed]
|
|
[24]
|
Swaminathan, S., Hamid, Q., Sun, W., et al. (2019) Bioprinting of 3d Breast Epithelial Spheroids for Human Cancer Models. Biofabrication, 11, Article ID: 025003. [Google Scholar] [CrossRef] [PubMed]
|
|
[25]
|
Souza, A.G., Silva, I.B.B., Campos-Fernandez, E., et al. (2018) Comparative Assay of 2D and 3D Cell Culture Models: Proliferation, Gene Expression and Anticancer Drug Response. Current Pharmaceutical Design, 24, 1689-1694. [Google Scholar] [CrossRef] [PubMed]
|
|
[26]
|
关冀弛, 刘丹, 陈艳阁, 等. 肿瘤细胞三维培养技术研究进展[J]. 沈阳医学院学报, 2022, 24(6): 641-647.
|
|
[27]
|
Hoarau-Véchot, J., Rafii, A., Touboul, C. and Pasquier, J. (2018) Halfway between 2D and Animal Models: Are 3D Cultures the Ideal Tool to Study Cancer-Microenvironment Interactions? International Journal of Molecular Sciences, 19, Article No. 181. [Google Scholar] [CrossRef] [PubMed]
|
|
[28]
|
Li, Y. and Kilian, K.A. (2015) Bridging the Gap: From 2D Cell Culture to 3D Microengineered Extracellular Matrices. Advanced Healthcare Materials, 4, 2780-2796. [Google Scholar] [CrossRef] [PubMed]
|
|
[29]
|
Bahcecioglu, G., Basara, G., Ellis, B.W., Ren, X. and Zorlutuna, P. (2020) Breast Cancer Models: Engineering the Tumor Microenvironment. Acta Biomaterialia, 106, 1-21. [Google Scholar] [CrossRef] [PubMed]
|
|
[30]
|
Lazzari, G., Nicolas, V., Matsusaki, M., et al. (2018) Multicellular Spheroid Based on a Triple CO-Culture: A Novel 3D Model to Mimic Pancreatic Tumor Complexity. Acta Biomaterialia, 78, 296-307. [Google Scholar] [CrossRef] [PubMed]
|
|
[31]
|
Tomás-Bort, E., Kieler, M., Sharma, S., et al. (2020) 3D Approaches to Model the Tumor Microenvironment of Pancreatic Cancer. Theranostics, 10, 5074-5089. [Google Scholar] [CrossRef] [PubMed]
|
|
[32]
|
Sharifi, M., Bai, Q., Babadaei, M.M.N., et al. (2021) 3D Bioprinting of Engineered Breast Cancer Constructs for Personalized and Targeted Cancer Therapy. Journal of Controlled Release, 333, 91-106. [Google Scholar] [CrossRef] [PubMed]
|
|
[33]
|
Germain, N., Dhayer, M., Dekiouk, S. and Marchetti, P. (2022) Current Advances in 3D Bioprinting for Cancer Modeling and Personalized Medicine. International Journal of Molecular Sciences, 23, Article No. 3432. [Google Scholar] [CrossRef] [PubMed]
|
|
[34]
|
Tiwari, A.P., Thorat, N.D., Pricl, S., et al. (2021) Bioink: A 3D-Bioprinting Tool for Anticancer Drug Discovery and Cancer Management. Drug Discovery Today, 26, 1574-1590. [Google Scholar] [CrossRef] [PubMed]
|
|
[35]
|
Kang, Y., Datta, P., Shanmughapriya, S. and Ozbolat, I.T. (2020) 3D Bioprinting of Tumor Models for Cancer Research. ACS Applied Bio Materials, 3, 5552-5573. [Google Scholar] [CrossRef] [PubMed]
|
|
[36]
|
Kronemberger, G.S., Miranda, G.A.S.C., Tavares, R.S.N., et al. (2021) Recapitulating Tumorigenesis in Vitro: Opportunities and Challenges of 3D Bioprinting. Frontiers in Bioengineering and Biotechnology, 9, Article 682498. [Google Scholar] [CrossRef] [PubMed]
|
|
[37]
|
Qi, F., Zhao, L., Zhou, A., et al. (2015) The Advantages of Using Traditional Chinese Medicine as an Adjunctive Therapy in the Whole Course of Cancer Treatment Instead of Only Terminal Stage of Cancer. BioScience Trends, 9, 16-34. [Google Scholar] [CrossRef] [PubMed]
|
|
[38]
|
吕威, 李帅杰, 严青, 等. 乳腺癌术后中西医结合治疗的研究进展[J]. 中国当代医药, 2022, 29(33): 28-31, 37.
|
|
[39]
|
Liu, Y., Yang, S., Wang, K., et al. (2020) Cellular Senescence and Cancer: Focusing on Traditional Chinese Medicine and Natural Products. Cell Proliferation, 53, e12894. [Google Scholar] [CrossRef] [PubMed]
|