Evidence map›Paper›PMID 34596362›Full record

ArticleThe journal of pathology. Clinical research2022

Selection of endometrial carcinomas for p53 immunohistochemistry based on nuclear features.

Eun Young Kang, Nicholas Jp Wiebe, Christa Aubrey, Cheng-Han Lee, Michael S Anglesio, Derek Tilley, Prafull Ghatage, Gregg S Nelson, Sandra Lee, Martin Köbel

Abstract read
In one paragraph

Article in The journal of pathology. Clinical research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Clinical Behavior and Molecular Landscape of Stage I p53-Abnormal Low-Grade Endometrioid Endometrial Carcinomas.Clinical cancer research : an official journal of the American Association for Cancer Research · 2023
    Article
  9. Article
  10. Variability in endometrial carcinoma pathology practice: opportunities for improvement with molecular classification.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2022
    Article
  11. Review
  12. Article
  13. Review
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

10 authors.

Eun Young KangDepartment of Pathology and Laboratory Medicine, University of Calgary, Calgary, AB, Canada.
Nicholas Jp WiebeDepartment of Pathology and Laboratory Medicine, University of Calgary, Calgary, AB, Canada.
Christa AubreyDepartment of Oncology, Division of Gynecologic Oncology, University of Calgary, Calgary, AB, Canada.
Cheng-Han LeeDepartment of Pathology and Laboratory Medicine, University of Alberta, Edmonton, AB, Canada.
Michael S AnglesioDepartment of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada.ORCID 0000-0003-1639-5003
Derek TilleyCancer Control, Alberta Health Services, Holy Cross Center, Calgary, AB, Canada.
Prafull GhatageDepartment of Oncology, Division of Gynecologic Oncology, University of Calgary, Calgary, AB, Canada.
Gregg S NelsonDepartment of Oncology, Division of Gynecologic Oncology, University of Calgary, Calgary, AB, Canada.
Sandra LeeDepartment of Pathology and Laboratory Medicine, University of Calgary, Calgary, AB, Canada.
Martin KöbelDepartment of Pathology and Laboratory Medicine, University of Calgary, Calgary, AB, Canada.ORCID 0000-0002-6615-2037

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The World Health Organization endorses molecular subclassification of endometrial endometrioid carcinomas (EECs). Our objectives were to test the sensitivity of tumor morphology in capturing p53 abnormal (p53abn) cases and to model the impact of p53abn on changes to ESGO/ESTRO/ESP (European Society of Gynaecological Oncology/European Society for Radiotherapy and Oncology/European Society of Pathology) risk stratification. A total of 292 consecutive endometrial carcinoma resections received at Foothills Medical Centre, Calgary, Canada (2019-2021) were retrieved and assigned to ESGO risk groups with and without p53 status. Three pathologists reviewed the representative H&E-stained slides, predicted the p53 status, and indicated whether p53 immunohistochemistry (IHC) would be ordered. Population-based survival for endometrial carcinomas diagnosed during 2008-2016 in Alberta was obtained from the Alberta Cancer Registry. The cohort consisted mostly of grade 1/2 endometrioid carcinomas (EEC1/2; N = 218, 74.6%). One hundred and fifty-two EEC1/2 (52.1% overall) were stage IA and 147 (50.3%) were low risk by ESGO. The overall prevalence of p53abn and subclonal p53 was 14.5 and 8.3%, respectively. The average sensitivity of predicting p53abn among observers was 83.6%. Observers requested p53 IHC for 39.4% with 98.5% sensitivity to detect p53abn (99.6% negative predictive value). Nuclear features including smudged chromatin, pleomorphism, atypical mitoses, and tumor giant cells accurately predicted p53abn. In 7/292 (2.4%), p53abn upgraded ESGO risk groups (2 to intermediate risk, 5 to high risk). EEC1/2/stage IA patients had an excellent disease-specific 5-year survival of 98.5%. Pathologists can select cases for p53 testing with high sensitivity and low risk of false negativity. Molecular characterization of endometrial carcinomas has great potential to refine ESGO risk classification for a small subset but offers little value for approximately half of endometrial carcinomas, namely, EEC1/2/stage IA cases.

Indexed as

Carcinoma, EndometrioidEndometrial NeoplasmsTumor Suppressor Protein p53FemaleHumansImmunohistochemistryRisk FactorsTP53 protein, humanTumor Suppressor Protein p53endometrial cancermolecular classificationp53TP53

Identifiers

PMID34596362
PMCPMC8682942

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Registered trials

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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.