Evidence map›Paper›PMID 27115840›Full record

ArticleMolecular therapy. Nucleic acids2016

In Vivo Selection Against Human Colorectal Cancer Xenografts Identifies an Aptamer That Targets RNA Helicase Protein DHX9.

Jing Mi, Partha Ray, Jenny Liu, Chien-Tsun Kuan, Jennifer Xu, David Hsu, Bruce A Sullenger, Rebekah R White, Bryan M Clary

Open access · goldAbstract read
In one paragraph

Article in Molecular therapy. Nucleic acids, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
4.5field-weighted citation impact, top 5% 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

34 citing papers in PubMed, 59 citations in OpenAlex.

  1. Review
  2. Advantages, applications, and future directions ofMolecular therapy. Nucleic acids · 2025
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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

9 authors at 3 institutions in 1 country.

Jing MiDepartment of Surgery, Duke University Medical Center, Durham, North Carolina, USA.
Partha RayDepartment of Surgery, Duke University Medical Center, Durham, North Carolina, USA.
Jenny LiuDepartment of Surgery, Duke University Medical Center, Durham, North Carolina, USA.
Chien-Tsun KuanDepartment of Pathology, Duke University Medical Center, Durham, North Carolina, USA.
Jennifer XuDepartment of Surgery, Duke University Medical Center, Durham, North Carolina, USA.
David HsuDepartment of Medicine, Duke University Medical Center, Durham, North Carolina, USA.
Bruce A SullengerDepartment of Surgery, Duke University Medical Center, Durham, North Carolina, USA.
Rebekah R WhiteDepartment of Surgery, Duke University Medical Center, Durham, North Carolina, USA.
Bryan M ClaryDepartment of Surgery, University of California at San Diego, La Jolla, California, USA.
Duke Medical Center · USDuke University Hospital · USUniversity of California, San Diego · US

Funding

In Vivo Selection of Tumor-Specific RNA Binding MotifsR21CA128692 · NCI · DUKE UNIVERSITY · PI MI, JING · 2011 to 2013
$515k
NCI NIH HHS R21 CA128692
6 · The paper itself

Abstract

The ability to selectively target disease-related tissues with molecules is critical to the design of effective therapeutic and diagnostic reagents. Recognizing the differences between the in vivo environment and in vitro conditions, we employed an in vivo selection strategy to identify RNA aptamers (targeting motifs) that could localize to tumor in situ. One of the selected molecules is an aptamer that binds to the protein DHX9, an RNA helicase that is known to be upregulated in colorectal cancer. Upon systemic administration, the aptamer preferentially localized to the nucleus of cancer cells in vivo and thus has the potential to be used for targeted delivery.

Identifiers

PMID27115840
PMCPMC5014527
OpenAlexW2344954816

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.