Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 289

The DOI matches its Crossref record; 37 of the 37 references it cites were found in a registry or an index.

p53 gene mutations and protein accumulation in human ovarian cancer.

Open access
Kupryjańczyk, J, Thor, A D, Beauchamp, R, Merritt, V, Edgerton, S M, Bell, D A, Yandell, D W·1993·Proceedings of the National Academy of Sciences

Abstract

Mutations of the p53 gene on chromosome 17p are a common genetic change in the malignant progression of many cancers. We have analyzed 38 malignant tumors of ovarian or peritoneal müllerian type for evidence of p53 variations at either the DNA or protein levels. Genetic studies were based on single-strand conformation polymorphism analysis and DNA sequencing of exons 2 through 11 of the p53 gene; mutations were detected in 79% of the tumors. These data show a statistically significant association between mutations at C.G pairs and a history of estrogen therapy. Two of 20 patients whose normal tissue could be studied carried germ-line mutations of p53. Immunohistochemical analysis of the p53 protein was carried out using monoclonal antibody PAb1801. Ninety-six percent of the missense mutations were associated with abnormal accumulation of p53 protein, but nonsense mutations, a splicing mutation, and most deletions did not result in p53 protein accumulation. A statistically significant association between p53 protein accumulation in poorly differentiated stage III serous carcinomas and small primary tumor size at diagnosis was found, perhaps suggesting that p53 protein accumulation accelerates the metastatic spread from a primary tumor. Overall, our findings indicate that alterations of p53 play a major role in ovarian cancer, including predisposition to the disease in some patients, and suggest a possible mechanism for somatic mutations leading to this cancer.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1073/pnas.90.11.4961

Cites

37 of 37 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Show all 37 references

Cited by

See all 289

Metadata

Authors
Kupryjańczyk, J., Thor, A. D., Beauchamp, R., Merritt, V, Edgerton, S. M., Bell, D. A., & Yandell, D. W.
Venue
Proceedings of the National Academy of Sciences
Published
1993-06
Volume
90
Issue
11
Pages
4961-4965
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W1966143946
Cited by
289
References
37
FWCI
22.41
Type
journal article
Language
en
Open access
bronze

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: p53 gene mutations and protein accumulation in human ovarian cancer. https://app.cochat.ai/papers/10.1073/pnas.90.11.4961
The paper
Kupryjańczyk, J., Thor, A. D., Beauchamp, R., Merritt, V, Edgerton, S. M., Bell, D. A., & Yandell, D. W. (1993). p53 gene mutations and protein accumulation in human ovarian cancer. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.90.11.4961

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.