The DOI matches its Crossref record; 87 of the 87 references it cites were found in a registry or an index.
Targeting Therapies for the p53 Protein in Cancer Treatments
Abstract
Half of all human cancers contain TP53 mutations, and in many other cancers, the function of the p53 protein is compromised. The diversity of these mutations and phenotypes presents a challenge to the development of drugs that target p53 mutant cancer cells. This review describes the rationale for many different approaches in the development of p53 targeted therapies: ( a) viruses and gene therapies, ( b) increased levels and activity of wild-type p53 proteins in cancer cells, ( c) p53 protein gain-of-function inhibitors, ( d) p53 protein loss-of-function structural correctors, ( e) mutant p53 protein synthetic lethal drugs interfering with the p53 pathway, and ( f) cellular immune responses to mutant p53 protein antigens. As these types of therapies are developed, tested, and evaluated, the best of them will have a significant impact upon cancer treatments and possibly prevention.
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In the citing paper
“Studies have shown that approximately half of all human cancers, including serous ovarian cancer, lung squamous cell cancer, lung small cell cancer, triple-negative breast cancer, and squamous esophageal cancer, have alterations in the p53 gene, resulting in a loss of p53 function or decreased p53 expression.”
From Recent advances in targeting the “undruggable” proteins: from drug discovery to clinical trials (2023) · cites this paper as [206]
In the citing paper
“P53 can be categorized as mutant type or wild type, with mutant p53 promoting tumorigenesis and wild-type p53 having broad-spectrum tumor inhibition.”
From Recent advances in targeting the “undruggable” proteins: from drug discovery to clinical trials (2023) · cites this paper as [206]
In the citing paper
“The p53 protein, a crucial tumor suppressor, plays a significant role in preventing cancer initiation and progression.206–208”
From Recent advances in targeting the “undruggable” proteins: from drug discovery to clinical trials (2023) · cites this paper as [206]
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Metadata
- Authors
- Levine, A. J.
- Affiliations
- Institute for Advanced Study (US)
- Corresponding author
- Levine, Arnold J.
- ORCID
- Levine, Arnold J.
- Venue
- Annual Review of Cancer Biology
- Publisher
- Annual Reviews
- Published
- 2019-03-04
- Volume
- 3
- Issue
- 1
- Pages
- 21-34
- ISSN
- 2472-3428 (ISSN-L)
- OpenAlex
- W2883443537
- Cited by
- 84
- References
- 87
- Citations by year
- 2026: 1 · 2025: 8 · 2024: 3 · 2023: 8 · 2022: 12 · 2021: 30 · 2020: 14 · 2019: 6
- FWCI
- 1.36
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Annual Review of Cancer Biology (publishedVersion)
- Funders
- National Institutes of Health
- National Cancer Institute
- Topics
- Health Sciences › Medicine › Oncology › Cancer-related Molecular Pathways
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › PI3K/AKT/mTOR signaling in cancer
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer Mechanisms and Therapy
- Keywords
- p53, TP53 mutation, p53-targeted therapy, synthetic lethality, cancer immunotherapy, oncolytic viruses, gene therapy
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 ›
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