Evidence map›Paper›PMID 37886511›Full record

ArticleResearch square2023

Cell-Free DNA Methylation Analysis as a Marker of Malignancy in Pleural Fluid.

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

Open access · greenAbstract readPreprint
In one paragraph

Article in Research square, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

19 authors at 1 institution in 1 country.

Billie BixbyUniversity of Arizona.
Lukas VrbaUniversity of Arizona.
Jyoti LenkaUniversity of Arizona.
Marc OshiroUniversity of Arizona.
George S WattsUniversity of Arizona.
Trina HughesUniversity of Arizona.
Heidi EricksonUniversity of Arizona.
Madhav ChopraUniversity of Arizona.
James L KneplerUniversity of Arizona.
Kenneth S KnoxUniversity of Arizona.
Lisa JarnaginUniversity of Arizona.
Raed AlalawiUniversity of Arizona.
Mrinalini KalaUniversity of Arizona.
Richard Bernert
Joshua Routh
Denise J RoeUniversity of Arizona.
Linda L GarlandUniversity of Arizona.
Bernard W FutscherUniversity of Arizona.
Mark A NelsonUniversity of Arizona.
University of Arizona · US

Funding

Lung Cancer, DNA Methylation, and Liquid BiopsyR43CA257133 · NCI · PRECISION EPIGENOMICS, INC. · PI NELSON, MARK ANTHONY · 2022 to 2022
$398k
NCI NIH HHS R43 CA257133
6 · The paper itself

Abstract

Background: 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 malignant pleural effusion diagnosis 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. Results: 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), PPE (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 PPE (p = 0.004). We also noted that the methylation signal was significantly higher in PPE 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 paramalignant 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. Conclusions: 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.

Identifiers

PMID37886511
PMCPMC10602127
OpenAlexW4387446382

What Socratic holds

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LicenceCC BY
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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 Socratic graph.