Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 408

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

p53 polymorphic variants at codon 72 exert different effects on cell cycle progression

Open access
Pim, David, Banks, Lawrence·2004·International Journal of Cancer

Abstract

Two common polymorphic forms of the p53 tumor suppressor protein are widely distributed throughout the human population. These encode either proline or arginine at position 72, and this difference results in a marked alteration in the primary structure of the protein. A number of previous studies have shown significant differences in the biochemical properties of the p53 protein, depending on the particular polymorphic form. There is little information, however, on their respective biologic activities. In this study, we have used an inducible switch system for expressing both polymorphic forms of p53 within Saos‐2 cells. Cell cycle analysis postinduction of p53 function reveals striking differences in how the 2 forms of p53 bring about a cessation of cell growth. Thus, the Arg72 form of p53 is significantly more efficient than the Pro72 form at inducing apoptosis. In contrast, the Pro72 form appears to induce a higher level of G1 arrest than the Arg72 form. These results demonstrate significant differences in how the codon 72 polymorphism affects the biological activity of p53. © 2003 Wiley‐Liss, Inc.

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 · 10.1002/ijc.11548

Cites

1 of 1 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 1 references

Cited by

See all 408

Metadata

Authors
Pim, D., & Banks, L.
Venue
International Journal of Cancer
Publisher
Wiley
Published
2003-10-27
Volume
108
Issue
2
Pages
196-199
ISSN
  • 0020-7136 (ISSN-L)
  • 1097-0215
OpenAlex
W2035746711
Cited by
408
References
1
FWCI
6.09
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 polymorphic variants at codon 72 exert different effects on cell cycle progression. https://app.cochat.ai/papers/10.1002/ijc.11548
The paper
Pim, D., & Banks, L. (2004). p53 polymorphic variants at codon 72 exert different effects on cell cycle progression. International Journal of Cancer. https://doi.org/10.1002/ijc.11548

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.