Evidence map›Paper›PMID 34998206›Full record

ArticleNeoplasia (New York, N.Y.)2022

RNA biomarkers from proximal liquid biopsy for diagnosis of ovarian cancer.

Eva Hulstaert, Keren Levanon, Annelien Morlion, Stefan Van Aelst, Anthony-Alexander Christidis, Ruben Zamar, Jasper Anckaert, Kimberly Verniers, Keren Bahar-Shany, Stav Sapoznik and 2 more

Open access · goldAbstract read
In one paragraph

Article in Neoplasia (New York, N.Y.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.7field-weighted citation impact, top 35% 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

6 citing papers in PubMed, 8 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

12 authors at 6 institutions in 3 countries.

Eva HulstaertDepartment of Biomolecular Medicine, Ghent University, Corneel Heymanslaan 10, 9000 Ghent, Belgium; OncoRNALab, Cancer Research Institute Ghent (CRIG), Corneel Heymanslaan 10, 9000 Ghent, Belgium; Department of Dermatology, Ghent University Hospital, Corneel Heymanslaan 10, 9000 Ghent, Belgium.
Keren LevanonSheba Cancer Research Center, Chaim Sheba Medical Center, Ramat Gan, Israel; Sackler Faculty of Medicine, Tel Aviv University, Ramat Aviv, Israel.
Annelien MorlionDepartment of Biomolecular Medicine, Ghent University, Corneel Heymanslaan 10, 9000 Ghent, Belgium; OncoRNALab, Cancer Research Institute Ghent (CRIG), Corneel Heymanslaan 10, 9000 Ghent, Belgium.
Stefan Van AelstDepartment of Mathematics, KU Leuven, Leuven, Belgium.
Anthony-Alexander ChristidisDepartment of Statistics, University of British Columbia, Vancouver, Canada.
Ruben ZamarDepartment of Statistics, University of British Columbia, Vancouver, Canada.
Jasper AnckaertDepartment of Biomolecular Medicine, Ghent University, Corneel Heymanslaan 10, 9000 Ghent, Belgium; OncoRNALab, Cancer Research Institute Ghent (CRIG), Corneel Heymanslaan 10, 9000 Ghent, Belgium.
Kimberly VerniersDepartment of Biomolecular Medicine, Ghent University, Corneel Heymanslaan 10, 9000 Ghent, Belgium; OncoRNALab, Cancer Research Institute Ghent (CRIG), Corneel Heymanslaan 10, 9000 Ghent, Belgium.
Keren Bahar-ShanySheba Cancer Research Center, Chaim Sheba Medical Center, Ramat Gan, Israel.
Stav SapoznikSheba Cancer Research Center, Chaim Sheba Medical Center, Ramat Gan, Israel.
Jo VandesompeleDepartment of Biomolecular Medicine, Ghent University, Corneel Heymanslaan 10, 9000 Ghent, Belgium; OncoRNALab, Cancer Research Institute Ghent (CRIG), Corneel Heymanslaan 10, 9000 Ghent, Belgium.
Pieter MestdaghDepartment of Biomolecular Medicine, Ghent University, Corneel Heymanslaan 10, 9000 Ghent, Belgium; OncoRNALab, Cancer Research Institute Ghent (CRIG), Corneel Heymanslaan 10, 9000 Ghent, Belgium. Electronic address: Pieter.Mestdagh@ugent.be.
Ghent University · BESheba Medical Center · ILUniversity of British Columbia · CAGhent University Hospital · BEKU Leuven · BETel Aviv University · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMost ovarian cancer patients are diagnosed at an advanced stage and have a high mortality rate. Current screening strategies fail to improve prognosis because markers that are sensitive for early stage disease are lacking. This medical need justifies the search for novel approaches using utero-tubal lavage as a proximal liquid biopsy.

methodsIn this study, we explore the extracellular transcriptome of utero-tubal lavage fluid obtained from 26 ovarian cancer patients and 48 controls using messenger RNA (mRNA) capture and small RNA sequencing.

resultsWe observed an enrichment of ovarian and fallopian tube specific messenger RNAs in utero-tubal lavage fluid compared to other human biofluids. Over 300 mRNAs and 41 miRNAs were upregulated in ovarian cancer samples compared with controls. Upregulated genes were enriched for genes involved in cell cycle activation and proliferation, hinting at a tumor-derived signal.

conclusionThis is a proof-of-principle that mRNA capture sequencing of utero-tubal lavage fluid is technically feasible, and that the extracellular transcriptome of utero-tubal lavage should be further explored in larger cohorts to assess the diagnostic value of the biomarkers identified in this study. IMPACT: Proximal liquid biopsy from the gynecologic tract is a promising source for mRNA and miRNA biomarkers for diagnosis of early-stage ovarian cancer.

Indexed as

Biomarkers, TumorCell-Free Nucleic AcidsLiquid BiopsyRNACase-Control StudiesEarly Detection of CancerFemaleHumansMicroRNAsOvarian NeoplasmsPrognosisRNA, MessengerBiomarkers, TumorCell-Free Nucleic AcidsMicroRNAsRNARNA, MessengerBiomarkerCell-free RNALiquid biopsyOvarian cancerUtero-tubal lavage

Identifiers

PMID34998206
PMCPMC8740458
OpenAlexW4205397379

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.