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Cited by 408

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Interpretation of P53 Immunohistochemistry in Endometrial Carcinomas: Toward Increased Reproducibility

Open access
Köbel, Martin, Ronnett, Brigitte M., Singh, Naveena, Soslow, Robert A., Gilks, C. Blake, McCluggage, W. Glenn·2019·International Journal of Gynecological Pathology

Abstract

P53 immunohistochemistry has evolved into an accurate surrogate reflecting the underlying TP53 mutation status of a tumor, and has utility in the diagnostic workup of endometrial carcinomas. Recent work predominantly carried out in tubo-ovarian high-grade serous carcinoma has revealed 4 main patterns of p53 staining (normal/wild-type, complete absence, overexpression, and cytoplasmic); the latter 3 patterns are variably termed abnormal/aberrant/mutation-type and are strongly predictive of an underlying TP53 mutation. The aim of this review is to provide practical advice to pathologists regarding various aspects of p53 immunohistochemical staining. These include laboratory methods to optimize staining, a description of the different patterns of staining, advice regarding the interpretation, and reporting of p53 staining and practical uses of p53 staining in endometrial carcinoma diagnosis. Illustrations are provided to aid in the interpretational problems.

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Metadata

Authors
Köbel, M., Ronnett, B. M., Singh, N., Soslow, R. A., Gilks, C. B., & McCluggage, W. G.
Venue
International Journal of Gynecological Pathology
Published
2019-01
Volume
38
Issue
Supplement 1
Pages
S123-S131
ISSN
0277-1691 (ISSN-L)
OpenAlex
W2793707558
Cited by
408
References
1
FWCI
30.65
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Interpretation of P53 Immunohistochemistry in Endometrial Carcinomas: Toward Increased Reproducibility. https://app.cochat.ai/papers/10.1097/pgp.0000000000000488
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Köbel, M., Ronnett, B. M., Singh, N., Soslow, R. A., Gilks, C. B., & McCluggage, W. G. (2019). Interpretation of P53 Immunohistochemistry in Endometrial Carcinomas: Toward Increased Reproducibility. International Journal of Gynecological Pathology. https://doi.org/10.1097/pgp.0000000000000488

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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.