Evidence map›Paper›PMID 27839510›Full record

ArticleBioTechniques2016

Morph-X-Select: Morphology-based tissue aptamer selection for ovarian cancer biomarker discovery.

Hongyu Wang, Xin Li, David E Volk, Ganesh L-R Lokesh, Miguel-Angel Elizondo-Riojas, Li Li, Alpa M Nick, Anil K Sood, Kevin P Rosenblatt, David G Gorenstein

Open access · goldAbstract read
In one paragraph

Article in BioTechniques, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

17 citing papers in PubMed, 26 citations in OpenAlex.

  1. Aptamers in cancer therapy: Why has clinical translation lagged behind preclinical promise?Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie · 2026
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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

10 authors at 1 institution in 1 country.

Hongyu WangInstitute of Molecular Medicine.
Xin LiInstitute of Molecular Medicine.
David E VolkInstitute of Molecular Medicine.
Ganesh L-R LokeshInstitute of Molecular Medicine.
Miguel-Angel Elizondo-RiojasInstitute of Molecular Medicine.
Li LiInstitute of Molecular Medicine.
Alpa M NickDepartments of Gynecologic Oncology.
Anil K SoodDepartments of Gynecologic Oncology.
Kevin P RosenblattInstitute of Molecular Medicine.
David G GorensteinInstitute of Molecular Medicine.
The University of Texas MD Anderson Cancer Center · US

Funding

UNIVERSITY OF TEXAS MD ANDERSON SPORE IN OVARIAN CANCERP50CA083639 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI BAST, ROBERT C · 1999 to 2015
$33.0M
Center for Clinical and Translational Sciences (CCTS)UL1TR000371 · NCATS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI MCPHERSON, DAVID D · 2012 to 2016
$13.4M
Texas Center for Cancer NanomedicineU54CA151668 · NCI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI FERRARI, MAURO · 2010 to 2014
$12.4M
NCATS NIH HHS UL1 TR000371NCI NIH HHS P50 CA083639NCI NIH HHS U54 CA151668
6 · The paper itself

Abstract

High affinity aptamer-based biomarker discovery has the advantage of simultaneously discovering an aptamer affinity reagent and its target biomarker protein. Here, we demonstrate a morphology-based tissue aptamer selection method that enables us to use tissue sections from individual patients and identify high-affinity aptamers and their associated target proteins in a systematic and accurate way. We created a combinatorial DNA aptamer library that has been modified with thiophosphate substitutions of the phosphate ester backbone at selected 5´dA positions for enhanced nuclease resistance and targeting. Based on morphological assessment, we used image-directed laser microdissection (LMD) to dissect regions of interest bound with the thioaptamer (TA) library and further identified target proteins for the selected TAs. We have successfully identified and characterized the lead candidate TA, V5, as a vimentin-specific sequence that has shown specific binding to tumor vasculature of human ovarian tissue and human microvascular endothelial cells. This new Morph-X-Select method allows us to select high-affinity aptamers and their associated target proteins in a specific and accurate way, and could be used for personalized biomarker discovery to improve medical decision-making and to facilitate the development of targeted therapies to achieve more favorable outcomes.

Indexed as

Aptamers, NucleotideBiomarkers, TumorFemaleHumansLaser Capture MicrodissectionMass SpectrometryOvarian NeoplasmsAptamers, NucleotideBiomarkers, Tumorlaser microdissectionmorphology-based tissue aptamer selectionovarian cancertargeted proteinthioaptamer

Identifiers

PMID27839510
PMCPMC5136366
OpenAlexW2566616093

What OpenQuestion holds

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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.