Evidence map›Paper›PMID 21680956›Full record

ReviewOncotarget2011

A chemical biology approach to developing STAT inhibitors: molecular strategies for accelerating clinical translation.

Erik A Nelson, Sreenath V Sharma, Jeffrey Settleman, David A Frank

Open access · hybridAbstract readReview
In one paragraph

Review in Oncotarget, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed
4.8field-weighted citation impact, top 4% 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

51 citing papers in PubMed, 76 citations in OpenAlex.

  1. Trial
  2. Review
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  4. Article
  5. Review
  6. Acriflavine targets oncogenic STAT5 signaling in myeloid leukemia cells.Journal of cellular and molecular medicine · 2020
    Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Antiangiogenesis Efficacy of Ethanol Extract fromEvidence-based complementary and alternative medicine : eCAM · 2020
    Article
  12. Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
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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

4 authors at 2 institutions in 1 country.

Erik A NelsonDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA.
Sreenath V Sharma
Jeffrey Settleman
David A Frank
Harvard University · USBrigham and Women's Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

STAT transcription factors transduce signals from the cell surface to the nucleus, where they regulate the expression of genes that control proliferation, survival, self-renewal, and other critical cellular functions. Under normal physiological conditions, the activation of STATs is tightly regulated. In cancer, by contrast, STAT proteins, particularly STAT3 and STAT5, become activated constitutively, thereby driving the malignant phenotype of cancer cells. Since these proteins are largely dispensable in the function of normal adult cells, STATs represent a potentially important target for cancer therapy. Although transcription factors have traditionally been viewed as suboptimal targets for pharmacological inhibition, chemical biology approaches have been particularly fruitful in identifying compounds that can modulate this pathway through a variety of mechanisms. STAT inhibitors have notable anti-cancer effects in many tumor systems, show synergy with other therapeutic modalities, and have the potential to eradicate tumor stem cells. Furthermore, STAT inhibitors identified through the screening of chemical libraries can then be employed in large scale analyses such as gene expression profiling, RNA interference screens, or large-scale tumor cell line profiling. Data derived from these studies can then provide key insights into mechanisms of STAT signal transduction, as well as inform the rational design of targeted therapeutic strategies for cancer patients.

Indexed as

Drug DesignAdultClinical Trials as TopicDrug Screening Assays, AntitumorHumansNeoplasmsSTAT Transcription FactorsTime FactorsTranslational Research, BiomedicalSTAT Transcription Factors

Identifiers

PMID21680956
PMCPMC3248200
OpenAlexW2124674978

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.