Evidence map›Paper›PMID 36672400›Full record

ArticleCancers2023

Identification and Characterization of Aptamers Targeting Ovarian Cancer Biomarker Human Epididymis Protein 4 for the Application in Urine.

Antonija Hanžek, Frédéric Ducongé, Christian Siatka, Anne-Cécile E Duc

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

10 citing papers in PubMed, 17 citations in OpenAlex.

  1. Review
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  8. Diagnostic biomarkers in ovarian cancer: advances beyond CA125 and HE4.Therapeutic advances in medical oncology · 2024
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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

4 authors at 2 institutions in 1 country.

Antonija HanžekUPR CHROME-Université de Nîmes, CEDEX 1, 30021 Nîmes, France.ORCID 0000-0003-0143-1470
Frédéric DucongéCEA, Fundamental Research Division (DRF), Institut of Biology François Jacob (Jacob), Molecular Imaging Research Center, 92260 Fontenay-aux-Roses, France.ORCID 0000-0002-8595-0050
Christian SiatkaUPR CHROME-Université de Nîmes, CEDEX 1, 30021 Nîmes, France.
Anne-Cécile E DucUPR CHROME-Université de Nîmes, CEDEX 1, 30021 Nîmes, France.
Université de Nîmes · FRCommissariat à l'Énergie Atomique et aux Énergies Alternatives · FR

Funding

Agence Nationale pour la Recherche ANR-20-CE18-0012-02 APFIBROXEuropean Association for Cancer Research Cancer biomarkers detection in urineInvestissement d'Avenir [ANR-11-INBS-0011]--NeurATRISNovosanis Cancer biomarkers detection in urineRégion Occitanie/Pyrénées-Méditerranée n/a
6 · The paper itself

Abstract

Ovarian cancer is the deadliest gynecological cancer. With non-specific symptoms of the disease and the lack of effective diagnostic methods, late diagnosis remains the crucial hurdle of the poor prognosis. Therefore, development of novel diagnostic approaches are needed. The purpose of this study is to develop DNA-based aptamers as potential diagnostic probes to detect ovarian cancer biomarker Human epididymis protein 4 (HE4) in urine. HE4 is a protein overexpressed in ovarian cancer, but not in healthy or benign conditions. With high stability and diagnostic value for detection of ovarian cancer, urine HE4 appears as an attractive non-invasive biomarker. The high-affinity anti-HE4 DNA aptamers were selected through 10 cycles of High Fidelity Systematic Evolution of Ligands by EXponential enrichment (Hi-Fi SELEX), a method for aptamer selection based on digital droplet PCR. The anti-HE4 aptamers were identified using DNA sequencing and bioinformatics analysis. The candidate aptamer probes were characterized in urine for binding to HE4 protein using thermofluorimetry. Two anti-HE4 aptamers, AHE1 and AHE3, displayed binding to HE4 protein in urine, with a constant of dissociation in the nanomolar range, with K

Indexed as

aptamerscancerddPCRdiagnosticsHE4ovarian cancerSELEXsequencingurine

Identifiers

PMID36672400
PMCPMC9856783
OpenAlexW4315567714

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.