Evidence map›Paper›PMID 24964402›Full record

ArticleChemical communications (Cambridge, England)2014

Identification of novel inhibitors that disrupt STAT3-DNA interaction from a γ-AApeptide OBOC combinatorial library.

Peng Teng, Xiaolei Zhang, Haifan Wu, Qiao Qiao, Said M Sebti, Jianfeng Cai

Abstract read
In one paragraph

Article in Chemical communications (Cambridge, England), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

12 citing papers in PubMed, 22 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Tumor-targeting peptides from combinatorial libraries.Advanced drug delivery reviews · 2017
    Review
  10. Review
  11. γ-AApeptides as a New Class of Peptidomimetics.Chemistry (Weinheim an der Bergstrasse, Germany) · 2016
    Article
  12. γ-AApeptides: Design, Structure, and Applications.Accounts of chemical research · 2016
    Article
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 2 institutions in 1 country.

Peng TengDepartment of Chemistry, University of South Florida, 4202 E. Fowler Ave, Tampa, FL 33620, USA. jianfengcai@usf.edu.
Xiaolei Zhang
Haifan Wu
Qiao Qiao
Said M Sebti
Jianfeng Cai
University of South Florida · USUniversity of Tampa · US

Funding

Targeting STAT3 as a novel approach to cancer therapyR01CA140681 · NCI · H. LEE MOFFITT CANCER CTR & RES INST · PI LAWRENCE, NICHOLAS JAMES, SEBTI, SAID M · 2009 to 2013
$1.7M
NCI NIH HHS R01 CA140681NCI NIH HHS R01 CA140681-05
6 · The paper itself

Abstract

From a γ-AApeptide-based one-bead-one-compound (OBOC) combinatorial library, we identified γ-AApeptides that can selectively inhibit STAT3-DNA interaction and suppress the expression levels of STAT3 target genes in intact cells. Our results demonstrate that in addition to the SH2 domain, the DNA binding domain of STAT3 is targetable for the development of a new generation of anti-cancer therapeutics.

Indexed as

Antineoplastic AgentsCell Line, TumorCombinatorial Chemistry TechniquesDNAFemaleHumansModels, MolecularMolecular ConformationPeptide LibraryPeptidesPeptidomimeticssrc Homology DomainsSTAT3 Transcription FactorAntineoplastic AgentsDNAPeptide LibraryPeptidesPeptidomimeticsSTAT3 Transcription Factor

Identifiers

PMID24964402
PMCPMC4128407
OpenAlexW2029134591

What OpenQuestion holds

Textmetadata
LicenceTDM
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.