Evidence map›Paper›PMID 38316884›Full record

ArticleScientific reports2024

Cell-free DNA methylation analysis as a marker of malignancy in pleural fluid.

Billie Bixby, Lukas Vrba, Jyoti Lenka, Marc M Oshiro, George S Watts, Trina Hughes, Heidi Erickson, Madhav Chopra, James L Knepler, Kenneth S Knox and 9 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 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
4.2field-weighted citation impact, top 6% of its field
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, 10 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Advanced imaging techniques and artificial intelligence in pleural diseases: a narrative review.European respiratory review : an official journal of the European Respiratory Society · 2025
    Review
  7. Article
  8. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

19 authors at 2 institutions in 1 country.

Billie BixbyPulmonary, Critical Care, Allergy and Sleep Medicine, Department of Medicine, University of Arizona, Tucson, USA.
Lukas VrbaPrecision Epigenomics, Tucson, AZ, USA.
Jyoti LenkaPulmonary, Critical Care, Allergy and Sleep Medicine, Department of Medicine, University of Arizona, Tucson, USA.
Marc M OshiroBoyer Liver Institute, Department of Medicine, University of Arizona, Tucson, USA.
George S WattsDepartment of Pharmacology and Toxicology, University of Arizona, Tucson, USA.
Trina HughesPulmonary, Critical Care, Allergy and Sleep Medicine, Department of Medicine, University of Arizona, Tucson, USA.
Heidi EricksonPulmonary, Critical Care, Allergy and Sleep Medicine, Department of Medicine, University of Arizona, Tucson, USA.
Madhav ChopraPulmonary, Critical Care, Allergy and Sleep Medicine, Department of Medicine, University of Arizona, Tucson, USA.
James L KneplerPulmonary, Critical Care, Allergy and Sleep Medicine, Department of Medicine, University of Arizona, Tucson, USA.
Kenneth S KnoxPulmonary, Critical Care, Allergy and Sleep Medicine, Department of Medicine, University of Arizona, Phoenix, USA.
Lisa JarnaginPulmonary, Critical Care, Allergy and Sleep Medicine, Department of Medicine, University of Arizona, Phoenix, USA.
Raed AlalawiPulmonary, Critical Care, Allergy and Sleep Medicine, Department of Medicine, University of Arizona, Phoenix, USA.
Mrinalini KalaDepartment of Internal Medicine, University of Arizona, Phoenix, USA.
Richard BernertPrecision Epigenomics, Tucson, AZ, USA.
Joshua RouthMidwestern University, Glendale, USA.
Denise J RoeMel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, USA.
Linda L GarlandHematology Oncology, Department of Medicine, University of Arizona, Tucson, USA.
Bernard W FutscherDepartment of Pharmacology and Toxicology, University of Arizona, Tucson, USA.
Mark A NelsonDepartment of Pathology, University of Arizona, Tucson, AZ, 85724, USA. manelson@arizona.edu.
University of Arizona · USMidwestern University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diagnosis of malignant pleural effusion (MPE) is made by cytological examination of pleural fluid or histological examination of pleural tissue from biopsy. Unfortunately, detection of malignancy using cytology has an overall sensitivity of 50%, and is dependent upon tumor load, volume of fluid assessed, and cytopathologist experience. The diagnostic yield of pleural fluid cytology is also compromised by low abundance of tumor cells or when morphology is obscured by inflammation or reactive mesothelial cells. A reliable molecular marker that may complement fluid cytology for the diagnosis of malignant pleural effusion is needed. The purpose of this study was to establish a molecular diagnostic approach based on pleural effusion cell-free DNA methylation analysis for the differential diagnosis of malignant pleural effusion and benign pleural effusion. This was a blind, prospective case-control biomarker study. We recruited 104 patients with pleural effusion for the study. We collected pleural fluid from patients with: MPE (n = 48), indeterminate pleural effusion in subjects with known malignancy or IPE (n = 28), and benign PE (n = 28), and performed the Sentinel-MPE liquid biopsy assay. The methylation level of Sentinel-MPE was markedly higher in the MPE samples compared to BPE control samples (p < 0.0001) and the same tendency was observed relative to IPE (p = 0.004). We also noted that the methylation signal was significantly higher in IPE relative to BPE (p < 0.001). We also assessed the diagnostic efficiency of the Sentinel-MPE test by performing receiver operating characteristic analysis (ROC). For the ROC analysis we combined the malignant and indeterminate pleural effusion groups (n = 76) and compared against the benign group (n = 28). The detection sensitivity and specificity of the Sentinel-MPE test was high (AUC = 0.912). The Sentinel-MPE appears to have better performance characteristics than cytology analysis. However, combining Sentinel-MPE with cytology analysis could be an even more effective approach for the diagnosis of MPE. The Sentinel-MPE test can discriminate between BPE and MPE. The Sentinel-MPE liquid biopsy test can detect aberrant DNA in several different tumor types. The Sentinel-MPE test can be a complementary tool to cytology in the diagnosis of MPE.

Indexed as

Cell-Free Nucleic AcidsPleural EffusionPleural Effusion, MalignantBiomarkers, TumorDNA MethylationHumansBiomarkers, TumorCell-Free Nucleic Acids

Identifiers

PMID38316884
PMCPMC10844328
OpenAlexW4391540526

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.