Evidence map›Paper›PMID 25894736›Full record

ArticleNucleic acid therapeutics2015

Identification of epithelial ovarian tumor-specific aptamers.

Gregory Benedetto, Timothy J Hamp, Peter J Wesselman, Christine Richardson

Abstract read
In one paragraph

Article in Nucleic acid therapeutics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Aptamer Nanomaterials for Ovarian Cancer Target Theranostics.Frontiers in bioengineering and biotechnology · 2022
    Review
  4. Review
  5. Review
  6. Review
  7. Article
  8. 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.

Gregory Benedetto1Department of Biological Sciences, University of North Carolina Charlotte, Charlotte, North Carolina.
Timothy J Hamp1Department of Biological Sciences, University of North Carolina Charlotte, Charlotte, North Carolina.
Peter J Wesselman1Department of Biological Sciences, University of North Carolina Charlotte, Charlotte, North Carolina.
Christine Richardson1Department of Biological Sciences, University of North Carolina Charlotte, Charlotte, North Carolina.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ovarian cancer is often diagnosed in late stages with few treatment options and poor long-term prognosis. New clinical tools for early detection of ovarian malignancies will significantly help reduce mortality and improve current long-term survival rates. The objective of this work was to identify ovarian tumor-specific single-stranded DNA aptamers that bind to malignant ovarian tumor cells and internalize with high affinity and specificity. Aptamers can identify unique tumor biomarkers, can aid in early detection and diagnosis of neoplastic disorders, and can be functionalized by conjugation to small molecules. To identify aptamers from random single-stranded DNA pools (60 bases long), we used whole Cell-SELEX (systematic evolution of ligands by exponential enrichment) to enrich and isolate tumor-specific aptamers that bind to tumor-specific receptors in their native state on the cell surface. Next-Generation sequencing identified seven novel aptamers and detailed analyses of three are described. Aptamers bound to, and were internalized by, target Caov-3 cell populations, but not nontarget nonmalignant ovarian epithelial HOSE 6-3 cells or multiple other epithelial tumor cell lines. Furthermore, aptamers showed unique binding affinities with apparent dissociation constants (Kd) measuring in the submicromolar range supporting their physiological relevance and potential use in clinical applications.

Indexed as

Aptamers, NucleotideCarcinoma, Ovarian EpithelialCell Line, TumorFemaleHumansNeoplasms, Glandular and EpithelialOvarian NeoplasmsSELEX Aptamer TechniqueAptamers, Nucleotide

Identifiers

PMID25894736
PMCPMC4440997

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.