The DOI matches its Crossref record; 68 of the 68 references it cites were found in a registry or an index.
Small molecules in targeted cancer therapy: advances, challenges, and future perspectives
Open accessAbstract
Due to the advantages in efficacy and safety compared with traditional chemotherapy drugs, targeted therapeutic drugs have become mainstream cancer treatments. Since the first tyrosine kinase inhibitor imatinib was approved to enter the market by the US Food and Drug Administration (FDA) in 2001, an increasing number of small-molecule targeted drugs have been developed for the treatment of malignancies. By December 2020, 89 small-molecule targeted antitumor drugs have been approved by the US FDA and the National Medical Products Administration (NMPA) of China. Despite great progress, small-molecule targeted anti-cancer drugs still face many challenges, such as a low response rate and drug resistance. To better promote the development of targeted anti-cancer drugs, we conducted a comprehensive review of small-molecule targeted anti-cancer drugs according to the target classification. We present all the approved drugs as well as important drug candidates in clinical trials for each target, discuss the current challenges, and provide insights and perspectives for the research and development of anti-cancer drugs.
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Cites
Hallmarks of Cancer: The Next Generation
Hanahan, D., & Weinberg, R. A. (2011) · Cell · doi:10.1016/j.cell.2011.02.013 · Cited by 66,590
Sorafenib in advanced hepatocellular carcinoma
Llovet, J. M., Ricci, S., Mazzaferro, V., Hilgard, P., Gane, E., Blanc, J.-F., de Oliveira, A. C., Santoro, A., Raoul, J.-L., Forner, A., et al. (2008) · New England Journal of Medicine · doi:10.1056/nejmoa0708857 · Cited by 13,097
Lynch, T. J., Bell, D. W., Sordella, R., Gurubhagavatula, S., Okimoto, R. A., Brannigan, B. W., Harris, P. L., Haserlat, S. M., Supko, J. G., Haluska, F. G., et al. (2004) · New England Journal of Medicine · doi:10.1056/nejmoa040938 · Cited by 11,486
Identification of the transforming EML4–ALK fusion gene in non-small-cell lung cancer
Soda, M., Choi, Y. L., Enomoto, M., Takada, S., Yamashita, Y., Ishikawa, S., Fujiwara, S.-I., Watanabe, H., Kurashina, K., Hatanaka, H., et al. (2007) · Nature · doi:10.1038/nature05945 · Cited by 5,439
The retinoblastoma protein and cell cycle control
Weinberg, R. A. (1995) · Cell · doi:10.1016/0092-8674(95)90385-2 · Cited by 4,862
Pembrolizumab plus axitinib versus sunitinib for advanced renal-cell carcinoma
Rini, B. I., Plimack, E. R., Stus, V., Gafanov, R., Hawkins, R., Nosov, D., Pouliot, F., Alekseev, B., Soulières, D., Melichar, B., et al. (2019) · New England Journal of Medicine · doi:10.1056/nejmoa1816714 · Cited by 3,403
Crizotinib versus Chemotherapy in Advanced ALK -Positive Lung Cancer
Shaw, A. T., Kim, D.-W., Nakagawa, K., Seto, T., Crinó, L., Ahn, M.-J., De Pas, T., Besse, B., Solomon, B. J., Blackhall, F., et al. (2013) · New England Journal of Medicine · doi:10.1056/nejmoa1214886 · Cited by 3,381
First-Line Crizotinib versus Chemotherapy in ALK -Positive Lung Cancer
Solomon, B. J., Mok, T., Kim, D.-W., Wu, Y.-L., Nakagawa, K., Mekhail, T., Felip, E., Cappuzzo, F., Paolini, J., Usari, T., et al. (2014) · New England Journal of Medicine · doi:10.1056/nejmoa1408440 · Cited by 3,190
Efficacy of Larotrectinib in TRK Fusion–Positive Cancers in Adults and Children
Drilon, A., Laetsch, T. W., Kummar, S., DuBois, S. G., Lassen, U. N., Demetri, G. D., Nathenson, M., Doebele, R. C., Farago, A. F., Pappo, A. S., et al. (2018) · New England Journal of Medicine · doi:10.1056/nejmoa1714448 · Cited by 2,824
The PI3K Pathway in Human Disease
Fruman, D. A., Chiu, H., Hopkins, B. D., Bagrodia, S., Cantley, L. C., & Abraham, R. T. (2017) · Cell · doi:10.1016/j.cell.2017.07.029 · Cited by 2,749
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Emran, T. B., Shahriar, A., Mahmud, A. R., Rahman, T., Abir, M. H., Siddiquee, M. F. R., Ahmed, H., Rahman, N., Nainu, F., Wahyudin, E., et al. (2022) · Frontiers in Oncology · doi:10.3389/fonc.2022.891652 · Cited by 606
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Min, H.-Y., & Lee, H.-Y. (2022) · Experimental & Molecular Medicine · doi:10.1038/s12276-022-00864-3 · Cited by 569
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Huang, Q., Li, Y., Huang, Y., Wu, J., Bao, W., Xue, C., Li, X., Dong, S., Dong, Z., & Hu, S. (2025) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-025-02243-6 · Cited by 197
Self-citationThe Dawn of a New Era: Targeting the “Undruggables” with Antibody-Based Therapeutics
Qian, L., Lin, X., Gao, X., Khan, R. U., Liao, J.-Y., Du, S., Ge, J., Zeng, S., & Yao, S. Q. (2023) · Chemical Reviews · doi:10.1021/acs.chemrev.2c00915 · Cited by 155
Metadata
- Authors
- Zhong, L., Li, Y., Xiong, L., Wang, W., Wu, M., Yuan, T., Yang, W., Tian, C., Miao, Z., Wang, T., & Yang, S.
- Venue
- Signal Transduction and Targeted Therapy
- Published
- 2021-05-31
- Volume
- 6
- Issue
- 1
- Pages
- 201-201
- ISSN
- 2059-3635 (ISSN-L)
- OpenAlex
- W3165143074
- Cited by
- 1,696
- References
- 68
- FWCI
- 148.89
- Type
- journal article
- Language
- en
- Open access
- gold
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- Zhong, L., Li, Y., Xiong, L., Wang, W., Wu, M., Yuan, T., Yang, W., Tian, C., Miao, Z., Wang, T., & Yang, S. (2021). Small molecules in targeted cancer therapy: advances, challenges, and future perspectives. Signal Transduction and Targeted Therapy. https://doi.org/10.1038/s41392-021-00572-w
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.