Evidence map›Paper›PMID 39584964›Full record

ReviewEpigenomes2024

Epigenetic Landscape of DNA Methylation in Pancreatic Ductal Adenocarcinoma.

Peiyi Liu, Juliette Jacques, Chang-Il Hwang

Abstract readReview
In one paragraph

Review in Epigenomes, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Review
  6. Review
  7. Article
  8. 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

3 authors.

Peiyi LiuDepartment of Microbiology and Molecular Genetics, College of Biological Sciences, University of California, Davis, Davis, CA 95616, USA.ORCID 0009-0003-6467-7360
Juliette JacquesDepartment of Microbiology and Molecular Genetics, College of Biological Sciences, University of California, Davis, Davis, CA 95616, USA.
Chang-Il HwangDepartment of Microbiology and Molecular Genetics, College of Biological Sciences, University of California, Davis, Davis, CA 95616, USA.ORCID 0000-0002-5710-7672

Funding

Engrailed-1 and Epigenetic Vulnerabilities in Metastatic Pancreatic CancerR37CA249007 · NCI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI Chang-il Hwang · 2021 to 2026
$2.1M
NCI NIH HHS R37 CA249007
6 · The paper itself

Abstract

Pancreatic ductal adenocarcinoma (PDAC) remains one of the most lethal malignancies, characterized by its aggressive progression and dismal prognosis. Advances in epigenetic profiling, specifically DNA methylation analysis, have significantly deepened our understanding of PDAC pathogenesis. This review synthesizes findings from recent genome-wide DNA methylation studies, which have delineated a complex DNA methylation landscape differentiating between normal and cancerous pancreatic tissues, as well as across various stages and molecular subtypes of PDAC. These studies identified specific differentially methylated regions (DMRs) that not only enhance our grasp of the epigenetic drivers of PDAC but also offer potential biomarkers for early diagnosis and prognosis, enabling the customization of therapeutic approaches. The review further explores how DNA methylation profiling could facilitate the development of subtype-tailored therapies, potentially improving treatment outcomes based on precise molecular characterizations. Overall, leveraging DNA methylation alterations as functional biomarkers holds promise for advancing our understanding of disease progression and refining PDAC management strategies, which could lead to improved patient outcomes and a deeper comprehension of the disease's underlying biological mechanisms.

Indexed as

DNA methylationmetastasispancreatic cancerpancreatic ductal adenocarcinomawhole-genome bisulfite sequencing

Identifiers

PMID39584964
PMCPMC11587027

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.