Evidence map›Paper›PMID 39920655›Full record

ArticleBMC cancer2025

Exploring RNA cargo in extracellular vesicles for pleural mesothelioma detection.

Agnieszka Kraft, Michaela B Kirschner, Vanessa Orlowski, Manuel Ronner, Caroline Bodmer, Valentina Boeva, Isabelle Opitz, Mayura Meerang

Abstract read
In one paragraph

Article in BMC cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

8 authors.

Agnieszka KraftDepartment of Thoracic Surgery, University Hospital Zurich, Raemistrasse 100, 8091, Zurich, Switzerland.
Michaela B KirschnerDepartment of Thoracic Surgery, University Hospital Zurich, Raemistrasse 100, 8091, Zurich, Switzerland.
Vanessa OrlowskiDepartment of Thoracic Surgery, University Hospital Zurich, Raemistrasse 100, 8091, Zurich, Switzerland.
Manuel RonnerDepartment of Thoracic Surgery, University Hospital Zurich, Raemistrasse 100, 8091, Zurich, Switzerland.
Caroline BodmerDepartment of Thoracic Surgery, University Hospital Zurich, Raemistrasse 100, 8091, Zurich, Switzerland.
Valentina BoevaInstitute for Machine Learning, Department of Computer Science, ETH Zurich, Zurich, Switzerland.
Isabelle Opitz *Department of Thoracic Surgery, University Hospital Zurich, Raemistrasse 100, 8091, Zurich, Switzerland.
Mayura Meerang *Department of Thoracic Surgery, University Hospital Zurich, Raemistrasse 100, 8091, Zurich, Switzerland. mayura.meerang@usz.ch.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPleural Mesothelioma (PM) is a highly aggressive cancer, for which effective early detection remains a challenge due to limited screening options and low sensitivity of biomarkers discovered so far. While extracellular vesicles (EVs) have emerged as promising candidates for blood-based biomarkers, their role in PM has not been studied yet. In this study, we characterized the transcriptomic profile of EVs secreted by PM primary cells and explored their potential as a biomarker source for PM detection.

methodsWe collected cell culture supernatant from early-passage PM cell cultures derived from the pleural effusion of 4 PM patients. EVs were isolated from the supernatant using Qiagen exoEasy Maxi kit. RNA isolation from EVs was done using the mirVana PARIS kit. Finally, single-end RNA sequencing was done with Illumina Novaseq 6000.

resultsWe identified a range of RNA species expressed in EVs secreted by PM cells, including protein-coding RNA (80%), long non-coding RNA (13%), pseudogenes (4.5%), and short non-coding RNA (1.6%). We detected a subset of genes associated with the previously identified epithelioid (32 genes) and sarcomatoid molecular components (36 genes) in PM-EVs. To investigate whether these markers could serve as biomarkers for PM detection in blood, we compared the RNA content of PM-EVs with the cargo of EVs isolated from the plasma of healthy donors (publicly available data). Majority of upregulated genes in PM-EVs were protein-coding and long non-coding RNAs. Interestingly, 25 of them were the sarcomatoid and epithelioid marker genes. Finally, functional analysis revealed that the PM-EV RNA cargo was associated with Epithelial-Mesenchymal transition, glycolysis, and hypoxia.

conclusionsThis is the first study to characterize the transcriptomic profile of EVs secreted by PM primary cell cultures, demonstrating their potential as biomarker source for early detection. Further investigation of the functional role of PM-EVs will provide new insights into disease biology and therapeutic avenues.

Indexed as

Biomarkers, TumorExtracellular VesiclesMesotheliomaPleural NeoplasmsRNAAgedFemaleGene Expression ProfilingHumansMaleMesothelioma, MalignantMiddle AgedTranscriptomeBiomarkers, TumorRNABiomarkersDiagnosisExtracellular vesiclesPleural mesotheliomaTranscriptomics

Identifiers

PMID39920655
PMCPMC11804012

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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.