The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Treating p53 Mutant Aggregation-Associated Cancer
Open accessAbstract
p53 is a tumor suppressor protein. Under stressful conditions, p53 tightly regulates cell growth by promoting apoptosis and DNA repair. When p53 becomes mutated, it loses its function, resulting in abnormal cell proliferation and tumor progression. Depending on the p53 mutation, it has been shown to form aggregates leading to negative gain of function of the protein. p53 mutant associated aggregation has been observed in several cancer tissues and has been shown to promote tumor growth. Recent studies show correlation between p53 mutant aggregation, functional loss, and tumor growth. Moreover, p53 aggregation has been observed in biopsies, patient tissues, and in vivo studies. Given the fact that over fifty percent of cancers have p53 mutation and several of them are prone to aggregation, therapeutic strategies are needed for treating p53 mutant aggregation associated cancers. Recent studies using polyarginine analogues and designer peptides for inhibiting p53 aggregation and tumor growth gives further encouragement in treating cancer as a protein aggregation disease. In this review, we highlight the recent efforts in targeting p53 aggregation in cancer and propose the use of small stress molecules as potential p53-antiaggregation drugs.
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Vogelstein, B., Lane, D., & Levine, A. J. (2000) · Nature · doi:10.1038/35042675 · Cited by 6,607
The p53 pathway: positive and negative feedback loops
Harris, S. L., & Levine, A. J. (2005) · Oncogene · doi:10.1038/sj.onc.1208615 · Cited by 1,967
A Designed Inhibitor of p53 Aggregation Rescues p53 Tumor Suppression in Ovarian Carcinomas
Soragni, A., Janzen, D. M., Johnson, L. M., Lindgren, A. G., Thai-Quynh Nguyen, A., Tiourin, E., Soriaga, A. B., Lu, J., Jiang, L., Faull, K. F., et al. (2016) · Cancer Cell · doi:10.1016/j.ccell.2015.12.002 · Cited by 341
Cited by
Zhang, Q., Liu, X.-M., Hu, Q., Liu, Z.-R., Liu, Z.-Y., Zhang, H.-G., Huang, Y.-L., Chen, Q.-H., Wang, W.-X., & Zhang, X.-K. (2021) · Journal of Translational Medicine · doi:10.1186/s12967-021-03027-6 · Cited by 52
LLM Based Biological Named Entity Recognition from Scientific Literature
Jung, S. J., Kim, H., & Jang, K. S. (2024) · 2024 IEEE International Conference on Big Data and Smart Computing (BigComp) · doi:10.1109/bigcomp60711.2024.00095 · Cited by 19
Metadata
- Authors
- Kanapathipillai, M.
- Venue
- Cancers
- Publisher
- MDPI AG
- Published
- 2018-05-23
- Volume
- 10
- Issue
- 6
- Pages
- 154
- ISSN
- 2072-6694 (ISSN-L)
- OpenAlex
- W2803452224
- Cited by
- 210
- References
- 3
- FWCI
- 4.13
- Type
- journal article
- Language
- en
- Open access
- gold
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