Evidence map›Paper›PMID 36451702›Full record

ArticleNAR cancer2022

Whole transcriptome profiling of liquid biopsies from tumour xenografted mouse models enables specific monitoring of tumour-derived extracellular RNA.

Vanessa Vermeirssen, Jill Deleu, Annelien Morlion, Celine Everaert, Jilke De Wilde, Jasper Anckaert, Kaat Durinck, Justine Nuytens, Muhammad Rishfi, Frank Speleman and 11 more

Open access · goldAbstract read
In one paragraph

Article in NAR cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.9field-weighted citation impact, top 27% 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

9 citing papers in PubMed, 10 citations in OpenAlex.

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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

21 authors at 6 institutions in 2 countries.

Vanessa VermeirssenLab for Computational Biology, Integromics and Gene Regulation (CBIGR), Cancer Research Institute Ghent (CRIG), 9000, Ghent, Belgium.ORCID https://orcid.org/0000-0002-1975-0712
Jill DeleuOncoRNALab, Cancer Research Institute Ghent (CRIG), 9000, Ghent, Belgium.ORCID https://orcid.org/0000-0003-0921-6003
Annelien MorlionOncoRNALab, Cancer Research Institute Ghent (CRIG), 9000, Ghent, Belgium.
Celine EveraertOncoRNALab, Cancer Research Institute Ghent (CRIG), 9000, Ghent, Belgium.
Jilke De WildeDepartment of Biomolecular Medicine, Ghent University, 9000, Ghent, Belgium.
Jasper AnckaertOncoRNALab, Cancer Research Institute Ghent (CRIG), 9000, Ghent, Belgium.
Kaat DurinckDepartment of Biomolecular Medicine, Ghent University, 9000, Ghent, Belgium.
Justine NuytensOncoRNALab, Cancer Research Institute Ghent (CRIG), 9000, Ghent, Belgium.
Muhammad RishfiDepartment of Biomolecular Medicine, Ghent University, 9000, Ghent, Belgium.
Frank SpelemanDepartment of Biomolecular Medicine, Ghent University, 9000, Ghent, Belgium.
Hanne Van DroogenbroeckOncoRNALab, Cancer Research Institute Ghent (CRIG), 9000, Ghent, Belgium.
Kimberly VerniersOncoRNALab, Cancer Research Institute Ghent (CRIG), 9000, Ghent, Belgium.
Maria Francesca BaiettiLaboratory for RNA Cancer Biology, Department of Oncology, KU Leuven, 3000, Leuven, Belgium.ORCID https://orcid.org/0000-0002-1495-226X
Maarten AlbersenDepartment of Development and Regeneration, Laboratory of Experimental Urology, KU Leuven, Department of Urology, University Hospitals Leuven, 3000, Leuven, Belgium.
Eleonora LeucciLaboratory for RNA Cancer Biology, Department of Oncology, KU Leuven, 3000, Leuven, Belgium.ORCID https://orcid.org/0000-0002-2898-748X
Edward PostAmsterdam UMC Location Vrije Universiteit Amsterdam, Department of Neurosurgery, Boelelaan 1117, 1081 HV, Amsterdam, the Netherlands.
Myron G BestAmsterdam UMC Location Vrije Universiteit Amsterdam, Department of Neurosurgery, Boelelaan 1117, 1081 HV, Amsterdam, the Netherlands.ORCID https://orcid.org/0000-0002-1230-8673
Tom Van MaerkenOncoRNALab, Cancer Research Institute Ghent (CRIG), 9000, Ghent, Belgium.
Bram De WildeOncoRNALab, Cancer Research Institute Ghent (CRIG), 9000, Ghent, Belgium.
Jo VandesompeleOncoRNALab, Cancer Research Institute Ghent (CRIG), 9000, Ghent, Belgium.ORCID https://orcid.org/0000-0001-6274-0184
Anneleen DecockOncoRNALab, Cancer Research Institute Ghent (CRIG), 9000, Ghent, Belgium.ORCID https://orcid.org/0000-0002-1091-0927
Ghent University · BEAmsterdam University Medical Centers · NLGhent University Hospital · BEVIB-KU Leuven Center for Cancer Biology · BEAZ Groeninge · BEKU Leuven · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While cell-free DNA (cfDNA) is widely being investigated, free circulating RNA (extracellular RNA, exRNA) has the potential to improve cancer therapy response monitoring and detection due to its dynamic nature. However, it remains unclear in which blood subcompartment tumour-derived exRNAs primarily reside. We developed a host-xenograft deconvolution framework, exRNAxeno, with mapping strategies to either a combined human-mouse reference genome or both species genomes in parallel, applicable to exRNA sequencing data from liquid biopsies of human xenograft mouse models. The tool enables to distinguish (human) tumoural RNA from (murine) host RNA, to specifically analyse tumour-derived exRNA. We applied the combined pipeline to total exRNA sequencing data from 95 blood-derived liquid biopsy samples from 30 mice, xenografted with 11 different tumours. Tumoural exRNA concentrations are not determined by plasma platelet levels, while host exRNA concentrations increase with platelet content. Furthermore, a large variability in exRNA abundance and transcript content across individual mice is observed. The tumoural gene detectability in plasma is largely correlated with the RNA expression levels in the tumour tissue or cell line. These findings unravel new aspects of tumour-derived exRNA biology in xenograft models and open new avenues to further investigate the role of exRNA in cancer.

Identifiers

PMID36451702
PMCPMC9703587
OpenAlexW4310598021

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.