Evidence map›Paper›PMID 24308725›Full record

ReviewJournal of hematology & oncology2013

STAT inhibitors for cancer therapy.

Muhammad Furqan, Akintunde Akinleye, Nikhil Mukhi, Varun Mittal, Yamei Chen, Delong Liu

Open access · goldAbstract readReview
In one paragraph

Review in Journal of hematology & oncology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 120 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
120citing papers in PubMed, 1 pooled it
9.3field-weighted citation impact, top 1% 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

120 citing papers in PubMed, 1 synthesis or guideline pooled it, 182 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Review
  5. Review
  6. Review
  7. Article
  8. Cancer metabolism: bridging tumorigenesis mechanisms to treatment susceptibility.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Review
  9. Review
  10. Review
  11. The structural influence of the oncogenic driver mutation N642H in the STAT5B SH2 domain.Protein science : a publication of the Protein Society · 2025
    Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Review
  17. Article
  18. Review
  19. Review
  20. Review

60 more citing papers are in PubMed but not listed here.

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 3 institutions in 2 countries.

Muhammad FurqanDepartment of Medicine, New York Medical College and Westchester Medical Center, Valhalla, NY 10595, USA. delong_liu@nymc.edu.
Akintunde Akinleye
Nikhil Mukhi
Varun Mittal
Yamei Chen
Delong Liu
Westchester Medical Center · USNew York Medical College · USSUNY Downstate Health Sciences University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Signal Transducer and Activator of Transcription (STAT) proteins are a family of cytoplasmic transcription factors consisting of 7 members, STAT1 to STAT6, including STAT5a and STAT5b. STAT proteins are thought to be ideal targets for anti-cancer therapy since cancer cells are more dependent on the STAT activity than their normal counterparts. Inhibitors targeting STAT3 and STAT5 have been developed. These included peptidomimetics, small molecule inhibitors and oligonucleotides. This review summarized advances in preclinical and clinical development of these compounds.

Indexed as

AnimalsAntineoplastic AgentsHumansNeoplasmsOligonucleotidesPeptidomimeticsSTAT Transcription FactorsAntineoplastic AgentsOligonucleotidesPeptidomimeticsSTAT Transcription Factors

Identifiers

PMID24308725
PMCPMC4029528
OpenAlexW2159042224

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.