The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.
Bone marrow mesenchymal stem cell-mediated ultrasmall gold nanoclusters and hNIS gene synergize radiotherapy for breast cancer
Abstract
I therapy further demonstrated that the growth of triple negative breast cancer (TNBC) was controlled by BMSC-Egr1-hNIS + AuNCs group, with relative volume inhibition percentages of 56.16% (compared with the control group) and 36.20% (compared with the BMSC-Egr1-hNIS group), respectively. To summarize, we successfully prepared BMSC-Egr1-hNIS carrying GSH@AuNCs to target TNBC which could synergistically improve the efficacy of hNIS gene therapy.
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“X-ray irradiation was the most frequently reported modality [17,20,27,34,54], whereas megavoltage radiation and radionuclide-based approaches were less commonly used [20,24,61,62].”
From Nanoparticle-Mediated Radiosensitization in Breast Cancer: A Systematic Review of Preclinical Evidence and Translational Challenges (2026) · cites this paper as [61]
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Cites
The clonal and mutational evolution spectrum of primary triple-negative breast cancers
Shah, S. P., Roth, A., Goya, R., Oloumi, A., Ha, G., Zhao, Y., Turashvili, G., Ding, J., Tse, K., Haffari, G., et al. (2012) · Nature · doi:10.1038/nature10933 · Cited by 1,967
Gold nanoparticles for applications in cancer radiotherapy: Mechanisms and recent advancements
Her, S., Jaffray, D. A., & Allen, C. (2017) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2015.12.012 · Cited by 865
Huang, K., Ma, H., Liu, J., Huo, S., Kumar, A., Wei, T., Zhang, X., Jin, S., Gan, Y., Wang, P. C., et al. (2012) · ACS Nano · doi:10.1021/nn301282m · Cited by 859
Hirn, S., Semmler‐Behnke, M., Schleh, C., Wenk, A., Lipka, J., Schäffler, M., Takenaka, S., Möller, W., Schmid, G., Simon, U., et al. (2011) · European Journal of Pharmaceutics and Biopharmaceutics · doi:10.1016/j.ejpb.2010.12.029 · Cited by 595
Noble Metal Nanoparticles Applications in Cancer
Conde, J., Dória, G., & Baptista, P. V. (2011) · Journal of Drug Delivery · doi:10.1155/2012/751075 · Cited by 565
Tumour-associated mesenchymal stem/stromal cells: emerging therapeutic targets
Shi, Y., Du, L., Lin, L., & Wang, Y. (2016) · Nature Reviews Drug Discovery · doi:10.1038/nrd.2016.193 · Cited by 463
Ultrasmall Au10−12(SG)10−12 Nanomolecules for High Tumor Specificity and Cancer Radiotherapy
Zhang, X., Luo, Z., Chen, J., Shen, X., Song, S., Sun, Y., Fan, S., Fan, F., Leong, D. T., & Xie, J. (2014) · Advanced Materials · doi:10.1002/adma.201400866 · Cited by 446
Jiang, C., Cheng, H., Yuan, A., Tang, X., Wu, J., & Hu, Y. (2014) · Acta Biomaterialia · doi:10.1016/j.actbio.2014.11.041 · Cited by 256
Emerging targeted therapies in triple-negative breast cancer
Crown, J. P., O’Shaughnessy, J., & Gullo, G. (2012) · Annals of Oncology · doi:10.1093/annonc/mds196 · Cited by 210
Ren, C., Kumar, S., Chanda, D., Chen, J., Mountz, J. D., & Ponnazhagan, S. (2008) · Stem Cells · doi:10.1634/stemcells.2008-0084 · Cited by 198
Research works printed but not linked: 3
- Guo, 2018, Oncol. Lett., 15, 3911
- An, 2017, Materials, 10
- Teraoka, 2018, Biomed. Rep., 9, 415
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Zhou, Z., Li, D., Fan, X., Yuan, Y., Wang, H., Wang, D., & Mei, X. (2021) · Regenerative Biomaterials · doi:10.1093/rb/rbab072 · Cited by 39
Huang, K. C., Chiang, S., Chang, H.-Y., Chen, W. T., Yang, P.-C., Chen, T.-W., Liang, J., Shiau, A., Ke, T., & Chao, K. S. C. (2022) · Cell Death and Disease · doi:10.1038/s41419-022-05069-0 · Cited by 40
The Role of Mesenchymal Stem Cells in Modulating the Breast Cancer Microenvironment
Zhang, L. (2023) · Cell Transplantation · doi:10.1177/09636897231220073 · Cited by 26
Self-citationKhan, I. M., Niazi, S., Yue, L., Zhang, Y., Pasha, I., Khan, M. K. I., Akhtar, W., Mohsin, A., Chughati, M. F. J., & Wang, Z. (2022) · Talanta · doi:10.1016/j.talanta.2022.123228 · Cited by 23
He, W., Ma, G., Shen, Q., & Tang, Z. (2022) · Nanomaterials · doi:10.3390/nano12101738 · Cited by 21
Metadata
- Authors
- Zhang, L., Zheng, B., Guo, R., Miao, Y., & Li, B.
- Affiliations
- Shanghai Jiao Tong University (CN)
- Corresponding author
- Li, Biao
- Venue
- Journal of Materials Chemistry B
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2021
- Volume
- 9
- Issue
- 12
- Pages
- 2866-2876
- ISSN
- 2050-750X (ISSN-L)
- 2050-7518
- OpenAlex
- W3135234611
- Cited by
- 17
- References
- 31
- Citations by year
- 2026: 3 · 2025: 1 · 2024: 3 · 2023: 4 · 2022: 4 · 2021: 2
- FWCI
- 0.99
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Materials Chemistry B (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Natural Science Foundation of China (81671715)
- National Key Research and Development Program of China (2020YFA0909000)
- Shanghai Municipal Education Commission (2019-01-07-00-02-E00064)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Nanoplatforms for cancer theranostics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Radiopharmaceutical Chemistry and Applications
- Physical Sciences › Materials Science › Materials Chemistry › Nanocluster Synthesis and Applications
- Keywords
- bone marrow mesenchymal stem cells, gold nanoclusters, sodium iodide symporter, EGR1, triple-negative breast cancer, radiotherapy, gene therapy, synergistic therapy, glutathione, tumor targeting
- MeSH terms
- Sodium-Iodide Symporters, Animals, Biocompatible Materials, Breast Neoplasms, Female, Glutathione, Gold, Injections, Intravenous, Iodine Radioisotopes, Particle Size, Promoter Regions, Genetic, Symporters, Mice, Early Growth Response Protein 1, Metal Nanoparticles, Mesenchymal Stem Cells
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