Evidence map›Paper›PMID 29517499›Full record

ReviewInternational journal of gynecological pathology : official journal of the International Society of Gynecological Pathologists2019

Interpretation of P53 Immunohistochemistry in Endometrial Carcinomas: Toward Increased Reproducibility.

Martin Köbel, Brigitte M Ronnett, Naveena Singh, Robert A Soslow, C Blake Gilks, W Glenn McCluggage

Registry-linked trialAbstract readReview
In one paragraph

Review in International journal of gynecological pathology : official journal of the International Society of Gynecological Pathologists, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05755893 (Study of the Unusual Infiltrative Patterns of Malignant Cells and the Immunohistochemical Expression of P53 in Different Histological Types of Endometrial Carcinoma), which is not on this map. Cited by 190 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
190citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT05755893 unknown statusnot on this mapstarted 2023, after this paper: background citation

Study of the Unusual Infiltrative Patterns of Malignant Cells and the Immunohistochemical Expression of P53 in Different Histological Types of Endometrial Carcinoma

TypeobservationalSponsorAssiut UniversityRan2023 to 2025Enrolled100ConditionsEndometrial Cancer
3 · Its place in the literature

Who cites it

190 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Uterine carcinosarcoma vs endometrial serous and clear cell carcinoma: A systematic review and meta-analysis of survival.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2022
    Pooled it
  2. Pooled it
  3. ESGO/ESTRO/ESP Guidelines for the management of patients with endometrial carcinoma.Virchows Archiv : an international journal of pathology · 2021
    Guideline
  4. Trial
  5. p53 immunohistochemistry in endometrial cancer: clinical and molecular correlates in the PORTEC-3 trial.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2022
    Trial
  6. Trial
  7. Review
  8. Article
  9. Review
  10. Article
  11. Review
  12. Review
  13. Article
  14. Evaluation of HER2 and Nectin-4 Expression in Primary Vaginal Cancers.International journal of molecular sciences · 2026
    Article
  15. Molecular subtypes and survival patterns of endometrial cancer in a South Indian cohort.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2026
    Article
  16. Observational
  17. Review
  18. Article
  19. Article
  20. Review

130 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Martin KöbelDepartment of Pathology and Laboratory Medicine, University of Calgary, Calgary, Alberta (M.K.) Department of Pathology, Vancouver General Hospital, Vancouver, British Columbia (C.B.G.), Canada Department of Pathology and Gynecology and Obstetrics, The Johns Hopkins Medical Institutions, Baltimore, Maryland (B.M.R.) Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York (R.A.S.) Department of Cellular Pathology, Barts Health NHS Trust, London (N.S.) Department of Pathology, Belfast Health and Social Care Trust, Belfast (W.G.M.), UK.
Brigitte M Ronnett
Naveena Singh
Robert A Soslow
C Blake Gilks
W Glenn McCluggage

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

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.

Indexed as

Biomarkers, TumorEndometrial NeoplasmsFemaleHumansImmunohistochemistryMutationTumor Suppressor Protein p53Biomarkers, TumorTP53 protein, humanTumor Suppressor Protein p53

Identifiers

PMID29517499
PMCPMC6127005

What OpenQuestion holds

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.