Evidence map›Paper›PMID 29212200›Full record

ArticleOncotarget2017

Cell-free DNA promoter hypermethylation in plasma as a predictive marker for survival of patients with pancreatic adenocarcinoma.

Stine Dam Henriksen, Poul Henning Madsen, Anders Christian Larsen, Martin Berg Johansen, Inge Søkilde Pedersen, Henrik Krarup, Ole Thorlacius-Ussing

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Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
–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

27 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  17. Molecular profiling of ctDNA in pancreatic cancer: Opportunities and challenges for clinical application.Pancreatology : official journal of the International Association of Pancreatology (IAP) ... [et al.] · 2021
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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.

Stine Dam HenriksenDepartment of Gastrointestinal Surgery, Aalborg University Hospital, Aalborg, Denmark.
Poul Henning MadsenSection of Molecular Diagnostics, Clinical Biochemistry, Aalborg University Hospital, Aalborg, Denmark.
Anders Christian LarsenDepartment of Gastrointestinal Surgery, Aalborg University Hospital, Aalborg, Denmark.
Martin Berg JohansenUnit of Clinical Biostatistics and Bioinformatics, Aalborg University Hospital, Aalborg, Denmark.
Inge Søkilde PedersenSection of Molecular Diagnostics, Clinical Biochemistry, Aalborg University Hospital, Aalborg, Denmark.
Henrik KrarupClinical Cancer Research Center, Aalborg University Hospital, Aalborg, Denmark.
Ole Thorlacius-UssingDepartment of Gastrointestinal Surgery, Aalborg University Hospital, Aalborg, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionFew prognostic biomarkers are available for pancreatic cancer. The aim of this study is to examine the correlation between the survival of pancreatic adenocarcinoma patients and hypermethylated genes in plasma-derived cell-free DNA.

methodsConsecutive patients with pancreatic adenocarcinoma were prospectively included and staged according to the TNM classification. Methylation-specific PCR of 28 genes was conducted. A survival prediction model independent of cancer stage and stage-specific survival prediction models were developed by multivariable Cox regression analysis using backward stepwise selection.

resultsNinety-five patients with pancreatic adenocarcinoma were included. Patients with more than 10 hypermethylated genes had a HR of 2.03 (95% CI; 1.15-3.57) compared to patients with fewer hypermethylated genes. Three survival prediction models were developed: Total group; (American Society of Anesthesiologists score (ASA)=3,

conclusionPrediction models based on cell-free DNA hypermethylation stratified pancreatic adenocarcinoma patients into risk groups according to survival. The models have the potential to work as prognostic biomarkers. However, further validation of the results is required to substantiate the findings.

Indexed as

biomarkerepigeneticsmethylationpancreatic cancerprognosis

Identifiers

PMID29212200
PMCPMC5706846

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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.