The DOI matches its Crossref record; 69 of the 69 references it cites were found in a registry or an index.
Targeting the MDM2-p53 Interaction for Cancer Therapy
Open accessAbstract
p53 is a powerful tumor suppressor and is an attractive cancer therapeutic target because it can be functionally activated to eradicate tumors. The gene encoding p53 protein is mutated or deleted in half of human cancers, which inactivates its tumor suppressor activity. In the remaining cancers with wild-type p53 status, its function is effectively inhibited through direct interaction with the human murine double minute 2 (MDM2) oncoprotein. Blocking the MDM2-p53 interaction to reactivate the p53 function is a promising cancer therapeutic strategy. This review will highlight the advances in the design and development of small-molecule inhibitors of the MDM2-p53 interaction as a cancer therapeutic approach.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
In Vivo Activation of the p53 Pathway by Small-Molecule Antagonists of MDM2
Vassilev, L. T., Vu, B. T., Graves, B., Carvajal, D., Podlaski, F., Filipovic, Z., Kong, N., Kammlott, U., Lukacs, C., Klein, C., et al. (2004) · Science · doi:10.1126/science.1092472 · Cited by 4,661
Mdm2 promotes the rapid degradation of p53
Haupt, Y., Maya, R., Kazaz, A., & Oren, M. (1997) · Nature · doi:10.1038/387296a0 · Cited by 4,506
Live or let die: the cell's response to p53
Vousden, K. H., & Lu, X. (2002) · Nature Reviews Cancer · doi:10.1038/nrc864 · Cited by 3,192
Momand, J., Zambetti, G. P., Olson, D. C., George, D., & Levine, A. J. (1992) · Cell · doi:10.1016/0092-8674(92)90644-r · Cited by 3,113
p53 is required for radiation-induced apoptosis in mouse thymocytes
Lowe, S. W., Schmitt, E. M., Smith, S. W., Osborne, B. A., & Jacks, T. (1993) · Nature · doi:10.1038/362847a0 · Cited by 2,864
T antigen is bound to a host protein in SY40-transformed cells
LANE, D. P., & CRAWFORD, L. V. (1979) · Nature · doi:10.1038/278261a0 · Cited by 2,394
Structure of the MDM2 Oncoprotein Bound to the p53 Tumor Suppressor Transactivation Domain
Kussie, P. H., Gorina, S., Marechal, V., Elenbaas, B., Moreau, J., Levine, A. J., & Pavletich, N. P. (1996) · Science · doi:10.1126/science.274.5289.948 · Cited by 2,206
The p53 proto-oncogene can act as a suppressor of transformation
Finlay, C. A., Hinds, P. W., & Levine, A. J. (1989) · Cell · doi:10.1016/0092-8674(89)90045-7 · Cited by 1,987
Amplification of a gene encoding a p53-associated protein in human sarcomas
Oliner, J. D., Kinzler, K. W., Meltzer, P. S., George, D. L., & Vogelstein, B. (1992) · Nature · doi:10.1038/358080a0 · Cited by 1,949
Linzer, D. I. H., & Levine, A. J. (1979) · Cell · doi:10.1016/0092-8674(79)90293-9 · Cited by 1,813
Cited by
Lu, H., Zhou, Q., He, J., Jiang, Z., Peng, C., Tong, R., & Shi, J. (2020) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-020-00315-3 · Cited by 891
Shangary, S., & Wang, S. (2009) · Annual Review of Pharmacology and Toxicology · doi:10.1146/annurev.pharmtox.48.113006.094723 · Cited by 623
Self-citationLuminal B Breast Cancer: Molecular Characterization, Clinical Management, and Future Perspectives
Ades, F., Zardavas, D., Bozovic-Spasojevic, I., Pugliano, L., Fumagalli, D., de Azambuja, E., Viale, G., Sotiriou, C., & Piccart, M. (2014) · Journal of Clinical Oncology · doi:10.1200/jco.2013.54.1870 · Cited by 435
Wang, S., Sun, W., Zhao, Y., McEachern, D., Meaux, I., Barrière, C., Stuckey, J. A., Meagher, J. L., Bai, L., Liu, L., et al. (2014) · Cancer Research · doi:10.1158/0008-5472.can-14-0799 · Cited by 328
Self-citationImplementing personalized cancer genomics in clinical trials
Simon, R., & Roychowdhury, S. (2013) · Nature Reviews Drug Discovery · doi:10.1038/nrd3979 · Cited by 301
Metadata
- Authors
- Shangary, S., & Wang, S.
- Venue
- Clinical Cancer Research
- Published
- 2008-09-01
- Volume
- 14
- Issue
- 17
- Pages
- 5318-5324
- ISSN
- 1078-0432 (ISSN-L)
- 1557-3265
- OpenAlex
- W1978580213
- Cited by
- 366
- References
- 69
- FWCI
- 10.32
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Targeting the MDM2-p53 Interaction for Cancer Therapy. https://app.cochat.ai/papers/10.1158/1078-0432.ccr-07-5136
- The paper
- Shangary, S., & Wang, S. (2008). Targeting the MDM2-p53 Interaction for Cancer Therapy. Clinical Cancer Research. https://doi.org/10.1158/1078-0432.ccr-07-5136
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
