Evidence map›Paper›PMID 39220299›Full record

ArticlePathology oncology research : POR2024

Molecular classification of endometrial cancer: preliminary experience from a single Portuguese academic center.

João Casanova, Ana G da Costa, Ana Pestana Lopes, Ana Catarino, Mónica Nave, Ana Carla Sousa, Jorge Lima

Abstract read
In one paragraph

Article in Pathology oncology research : POR, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. 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

7 authors.

João CasanovaGynecologic Oncology Unit, Obstetrics and Gynecology Service, Department of Surgery, Hospital da Luz Lisboa, Lisbon, Portugal.
Ana G da CostaGynecologic Oncology Unit, Obstetrics and Gynecology Service, Department of Surgery, Hospital da Luz Lisboa, Lisbon, Portugal.
Ana Pestana LopesGynecologic Oncology Unit, Department of Pathology, Hospital da Luz Lisboa, Lisbon, Portugal.
Ana CatarinoGynecologic Oncology Unit, Department of Pathology, Hospital da Luz Lisboa, Lisbon, Portugal.
Mónica NaveGynecologic Oncology Unit, Department of Oncology, Hospital da Luz Lisboa, Lisbon, Portugal.
Ana Carla SousaGenoMed-Diagnósticos de Medicina Molecular, Lisbon, Portugal.
Jorge LimaObstetrics and Gynecology Service, Department of Surgery, Hospital da Luz Lisboa, Lisbon, Portugal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Since the seminal publication of the TCGA consortium in 2013, the molecular classification of endometrial cancer has been widely accepted as a new and powerful tool to better understand the natural history of this malignancy. Adoption of routine molecular classification around the world has been limited. We sought to demonstrate our initial experience in incorporating the four molecular subtypes for endometrioid carcinomas. Methods: This was a retrospective analysis at a single center in Portugal. Molecular classification was determined using immunohistochemical staining for MMR and p53 and Results: 20 patients with endometrioid histology were included. Median age of the cohort was 64 years (range 45-76). Median Body Mass Index (kg/m Conclusion: Despite the small sample size, we were able to show that molecular classification is feasible. To our knowledge this is the first cohort of endometroid endometrial carcinomas fully characterized according to the TCGA classification in Portugal, from one single center.

Indexed as

Biomarkers, TumorCarcinoma, EndometrioidEndometrial NeoplasmsAgedFemaleHumansMiddle AgedMutationPortugalPrognosisRetrospective StudiesTumor Suppressor Protein p53Biomarkers, TumorTP53 protein, humanTumor Suppressor Protein p53DNA sequencingendometrial cancermolecular profilingmolecular subtypesPOLE mutation

Identifiers

PMID39220299
PMCPMC11362007

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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.