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Cited by 321

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

p53 expression and prognosis in gastric carcinoma

Martin, Hilary M., Filipe, M. Isabel, Morris, Richard W., Lane, David P., Silvestre, Frederico·1992·International Journal of Cancer

Abstract

Abnormalities of the p53 gene have been identified in many malignancies, with reports of aberration in over half of colorectal, lung, breast and hepatocellular carcinoma cases. The normal gene acts as a recessive oncogene, while mutations change the apparent function to that of a dominant oncogene. In this investigation a 3‐layered immunoperoxidase technique was applied to routinely fixed and paraffin‐embedded tissue sections from 125 gastric carcinomas, using a polyclonal anti‐p53 antibody (CM‐1). We found that 57% of these carcinomas expressed high levels of p53 protein (positive nuclear staining). Survival analysis revealed a strong association between p53 status of the tumour and patient survival time after diagnosis (p = 0.02, Mantel‐Cox Test); odds ratio of death, 2.09 (95% confidence interval 1.02 to 4.25). The 5‐year survival of patients with p53‐expressing tumours was 24%, compared with 56% for those non‐p53‐expressing tumours (the median survival times were 13 and 102 months, respectively).

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Metadata

Authors
Martin, H. M., Filipe, M. I., Morris, R. W., Lane, D. P., & Silvestre, F.
Venue
International Journal of Cancer
Publisher
Wiley
Published
1992-04
Volume
50
Issue
6
Pages
859-862
ISSN
  • 0020-7136 (ISSN-L)
  • 1097-0215
OpenAlex
W2070051352
Cited by
321
References
2
FWCI
47.31
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: p53 expression and prognosis in gastric carcinoma. https://app.cochat.ai/papers/10.1002/ijc.2910500604
The paper
Martin, H. M., Filipe, M. I., Morris, R. W., Lane, D. P., & Silvestre, F. (1992). p53 expression and prognosis in gastric carcinoma. International Journal of Cancer. https://doi.org/10.1002/ijc.2910500604

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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.