Evidence map›Paper›PMID 21072169›Full record

ArticlePloS one2010

Study of the molecular recognition of aptamers selected through ovarian cancer cell-SELEX.

Dimitri Van Simaeys, Dalia López-Colón, Kwame Sefah, Rebecca Sutphen, Elizabeth Jimenez, Weihong Tan

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

45 citing papers in PubMed, 108 citations in OpenAlex.

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  14. Aptamer-based targeted therapy.Advanced drug delivery reviews · 2018
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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

6 authors at 4 institutions in 1 country.

Dimitri Van SimaeysDepartment of Chemistry, Center for Research at Bio/Nano Interface, University of Florida, Gainesville, Florida, United States of America.
Dalia López-Colón
Kwame Sefah
Rebecca Sutphen
Elizabeth Jimenez
Weihong Tan
University of Florida · USInterface (United States) · USUniversity of Florida Health · USUniversity of South Florida · US

Funding

Population-Based Analysis of Ovarian Cancer BiomarkersR01CA106414 · NCI · UNIVERSITY OF SOUTH FLORIDA · PI SUTPHEN, REBECCA · 2005 to 2009
$3.0M
Development of molecular probes for biomedical applicationsR01GM079359 · NIGMS · UNIVERSITY OF FLORIDA · PI TAN, WEIHONG · 2007 to 2016
$2.3M
Molecular Target for Liver Cancer Diagnosis and TherapyR01CA133086 · NCI · UNIVERSITY OF FLORIDA · PI LIU, CHEN · 2009 to 2013
$1.5M
NCI NIH HHS R01 CA106414NCI NIH HHS R01-CA106414NCI NIH HHS R01 CA133086NIGMS NIH HHS R01 GM079359NIGMS NIH HHS R01GM079359
6 · The paper itself

Abstract

backgroundOvarian cancer is the most lethal gynecological malignancy, and the ovarian clear cell carcinoma subtype (OCCA) demonstrates a particularly poor response to standard treatment. Improvements in ovarian cancer outcomes, especially for OCCA, could be expected from a clearer understanding of the molecular pathology that might guide strategies for earlier diagnosis and more effective treatment. METHODOLOGY/PRINCIPAL

findingsCell-SELEX technology was employed to develop new molecular probes for ovarian cancer cell surface markers. A total of thirteen aptamers with K(d)'s to ovarian cancer cells in the pico- to nanomolar range were obtained. Preliminary investigation of the targets of these aptamers and their binding characteristics was also performed. CONCLUSIONS/SIGNIFICANCE: We have selected a series of aptamers that bind to different types of ovarian cancer, but not cervical cancer. Though binding to other cancer cell lines was observed, these aptamers could lead to identification of biomarkers that are related to cancer.

Indexed as

Aptamers, NucleotideBase SequenceBinding, CompetitiveBinding SitesBiomarkers, TumorCell Line, TumorFemaleFlow CytometryHCT116 CellsHeLa CellsHT29 CellsHumansMolecular Sequence DataOvarian NeoplasmsSELEX Aptamer TechniqueTemperatureAptamers, NucleotideBiomarkers, Tumor

Identifiers

PMID21072169
PMCPMC2967474
OpenAlexW2040376754

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.