Evidence map›Paper›PMID 38539507›Full record

ReviewCancers2024

Emerging Advances in Endometrial Cancer: Integration of Molecular Classification into Staging for Enhanced Prognostic Accuracy and Implications for Racial Disparities.

Joy Ogunmuyiwa, Vonetta Williams

Abstract readReview
In one paragraph

Review in Cancers, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Associations between molecular subtypes and high-risk pathological factors in endometrial cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Article
  2. Article
  3. Review
  4. Instability in the Penta-C and Penta-D Loci in Microsatellite-Unstable Endometrial Cancer.International journal of environmental research and public health · 2025
    Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
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

2 authors.

Joy OgunmuyiwaNew York Presbyterian Brooklyn Methodist Hospital, Brooklyn, NY 11215, USA.
Vonetta WilliamsMemorial Sloan Kettering Cancer Center, New York, NY 10065, USA.

Funding

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

Abstract

Since the 2009 FIGO staging update, focused exclusively on the anatomic extent of disease, there have been several advances in the understanding of the pathologic and molecular features of endometrial cancer. In a significant departure from the 2009 FIGO staging system, the 2023 FIGO staging update integrates both histopathological and molecular classification. With the inclusion of non-anatomic pathologic parameters such as histology, tumor grade, lymphovascular space invasion, and molecular subtype, the 2023 FIGO staging update aims to create more clinically relevant substages that improve prognostic value and allows for more individualized treatment paradigms. This review will evaluate the clinical impact of the 2023 FIGO staging update, describe the stage shifts that lead to higher prognostic precision, and illustrate the current state of molecular analysis in clinical practice. Furthermore, this review will explore how incorporating factors such as molecular subtype into endometrial cancer staging can offer valuable insights into the racial disparities seen in morbidity and mortality.

Indexed as

endometrial cancermismatch repair deficientp53 mutantPOLE-mutatedstagingtargeted therapy

Identifiers

PMID38539507
PMCPMC10969571

What OpenQuestion holds

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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.