Evidence map›Paper›PMID 28280637›Full record

ArticleJournal of nucleic acids2017

Selection of DNA Aptamers for Ovarian Cancer Biomarker CA125 Using One-Pot SELEX and High-Throughput Sequencing.

Delia J Scoville, Tae Kyu Brian Uhm, Jamie A Shallcross, Rebecca J Whelan

Open access · goldAbstract read
In one paragraph

Article in Journal of nucleic acids, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

16 citing papers in PubMed, 34 citations in OpenAlex.

  1. Review
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  11. Article
  12. Aptamer-iRNAs as Therapeutics for Cancer Treatment.Pharmaceuticals (Basel, Switzerland) · 2018
    Review
  13. Aptamers as Diagnostic Tools in Cancer.Pharmaceuticals (Basel, Switzerland) · 2018
    Review
  14. Aptamer Bioinformatics.International journal of molecular sciences · 2017
    Review
  15. Recent Advances in SELEX Technology and Aptamer Applications in Biomedicine.International journal of molecular sciences · 2017
    Review
  16. Review
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 1 institution in 1 country.

Delia J ScovilleDepartment of Chemistry and Biochemistry, Oberlin College, 119 Woodland Street, Oberlin, OH 44074, USA.
Tae Kyu Brian UhmDepartment of Chemistry and Biochemistry, Oberlin College, 119 Woodland Street, Oberlin, OH 44074, USA.
Jamie A ShallcrossDepartment of Chemistry and Biochemistry, Oberlin College, 119 Woodland Street, Oberlin, OH 44074, USA.
Rebecca J WhelanDepartment of Chemistry and Biochemistry, Oberlin College, 119 Woodland Street, Oberlin, OH 44074, USA.ORCID 0000-0002-9293-1528
Oberlin College · US

Funding

Development of aptamer-based detection and therapy strategies for ovarian cancerR15CA161970 · NCI · OBERLIN COLLEGE · PI WHELAN, REBECCA JEAN · 2011 to 2017
$382k
NCI NIH HHS R15 CA161970
6 · The paper itself

Abstract

CA125 is a mucin glycoprotein whose concentration in serum correlates with a woman's risk of developing ovarian cancer and also indicates response to therapy in diagnosed patients. Accurate detection of this large, complex protein in patient samples is of great clinical relevance. We suggest that powerful new diagnostic tools may be enabled by the development of nucleic acid aptamers with affinity for CA125. Here, we report on our use of One-Pot SELEX to isolate single-stranded DNA aptamers with affinity for CA125, followed by high-throughput sequencing of the selected oligonucleotides. This data-rich approach, combined with bioinformatics tools, enabled the entire selection process to be characterized. Using fluorescence anisotropy and affinity probe capillary electrophoresis, the binding affinities of four aptamer candidates were evaluated. Two aptamers, CA125_1 and CA125_12, both without primers, were found to bind to clinically relevant concentrations of the protein target. Binding was differently influenced by the presence of Mg

Identifiers

PMID28280637
PMCPMC5322571
OpenAlexW2586663720

What OpenQuestion holds

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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.