Evidence map›Paper›PMID 39594241›Full record

ReviewDiagnostics (Basel, Switzerland)2024

Minimally Invasive and Emerging Diagnostic Approaches in Endometrial Cancer: Epigenetic Insights and the Promise of DNA Methylation.

Floriana Porcaro, Antonella Paolucci, Piercarmine Porcaro, Gaetano Cardinale, Antonia Romitelli, Domenico Cozzolino, Serena Voccola

Abstract readReview
In one paragraph

Review in Diagnostics (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

7 authors.

Floriana PorcaroCentro Medico Delta S.r.l., 82030 Apollosa, Italy.
Antonella PaolucciCentro Prevenzione Donna, 05100 Terni, Italy.
Piercarmine PorcaroCentro Medico Delta S.r.l., 82030 Apollosa, Italy.ORCID 0000-0001-9251-2131
Gaetano CardinaleTecno Bios S.r.l., 82030 Apollosa, Italy.
Antonia RomitelliDelta Biotech S.r.l., 82030 Apollosa, Italy.ORCID 0000-0003-2495-8769
Domenico CozzolinoTecno Bios S.r.l., 82030 Apollosa, Italy.
Serena VoccolaConsorzio Sannio Tech, 82030 Apollosa, Italy.ORCID 0000-0001-7609-8938

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Endometrial cancer (EC) is the most common gynecological malignancy, with rising incidence and mortality rates. Key risk factors, including obesity, prolonged estrogen exposure, and metabolic disorders, underscore the urgent need for non-invasive, early diagnostic tools. This review focuses on the role of DNA methylation as a potential biomarker for early EC detection. Aberrant DNA methylation in the promoter regions of tumor suppressor genes can lead to gene silencing and cancer progression. We examine recent studies utilizing minimally invasive samples, such as urine, cervicovaginal, and cervical scrapes, to detect early-stage EC through DNA methylation patterns. Markers such as RASSF1A, HIST1H4F, GHSR, SST, and ZIC1 have demonstrated high diagnostic accuracy, with AUC values up to 0.95, effectively distinguishing EC from non-cancerous conditions. This review highlights the potential of DNA methylation-based testing as a non-invasive alternative to traditional diagnostic methods, offering earlier detection, better risk stratification, and more personalized treatment plans. These innovations hold the promise of transforming clinical practice by enabling more timely and effective management of endometrial cancer.

Indexed as

DNA methylationearly cancer detectionendometrial cancerepigenetic biomarkersnon-invasive diagnosticsobesity-related cancer risk

Identifiers

PMID39594241
PMCPMC11592808

What OpenQuestion holds

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Registered trials

None linked

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.