The DOI matches its Crossref record.
Implications of the p53 tumor-suppressor gene in clinical oncology.
Abstract
PURPOSE: The p53 gene encompasses 16 to 20 kb of DNA on the short arm of human chromosome 17. It encodes for a 393-amino acid nuclear phosphoprotein involved in cell-cycle control. Loss of normal p53 function is associated with cell transformation in vitro and development of neoplasms in vivo. During the past few years, the dramatic progress in the molecular biology of p53 has raised the exciting prospect for cancer management. The purpose of this review is to assess the potential role of p53 in clinical oncology. DESIGN: Data on the alterations in the p53 gene in human cancers, with special emphasis on the clinical implications of changes in the p53 gene in the pathogenesis, diagnosis, prognosis, and therapy of human cancers, are summarized in this review. RESULTS AND CONCLUSION: Current evidence suggests that abrogation of normal p53 pathway is a common feature in human cancers, and it appears to be a critical step in the pathogenesis and progression of tumors. Analysis of p53 function and mutations in human cancers may lead to identification of the precise nature of the carcinogenic damage in human tissues. These laboratory investigations and biologic findings have raised the possibility to screen patients at increased risk for cancer, aid the diagnosis made by traditional methods, assess the prognosis of individual cancer patient, design treatment protocols, and test the response to therapeutic agents.
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
Cited by
Current status and new treatment approaches in TP53 mutated AML
Hunter, A. M., & Sallman, D. A. (2019) · Best Practice & Research Clinical Haematology · doi:10.1016/j.beha.2019.05.004 · Cited by 102
Metadata
- Authors
- Chang, F., Syrjänen, S., & Syrjänen, K.
- Venue
- Journal of Clinical Oncology
- Published
- 1995-04
- Volume
- 13
- Issue
- 4
- Pages
- 1009-1022
- ISSN
- 0732-183X (ISSN-L)
- 1527-7755
- OpenAlex
- W2223163871
- Cited by
- 258
- References
- 0
- FWCI
- 10.61
- Type
- journal article
- Language
- en
- Open access
- closed
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: Implications of the p53 tumor-suppressor gene in clinical oncology. https://app.cochat.ai/papers/10.1200/jco.1995.13.4.1009
- The paper
- Chang, F., Syrjänen, S., & Syrjänen, K. (1995). Implications of the p53 tumor-suppressor gene in clinical oncology. Journal of Clinical Oncology. https://doi.org/10.1200/jco.1995.13.4.1009
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.