Evidence map›Paper›PMID 23237677›Full record

ReviewCurrent drug discovery technologies2013

Network insights into the genes regulated by hepatocyte nuclear factor 4 in response to drug induced perturbations: a review.

Asfar S Azmi, Ginny W Bao, Jiankun Gao, Ramzi M Mohammad, Fazlul H Sarkar

Open access · greenAbstract readReview
In one paragraph

Review in Current drug discovery technologies, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.4field-weighted citation impact, top 34% 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

8 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Long noncoding RNA H19 - a new player in the pathogenesis of liver diseases.Translational research : the journal of laboratory and clinical medicine · 2021
    Review
  5. Review
  6. Article
  7. Review
  8. 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

5 authors at 1 institution in 1 country.

Asfar S AzmiDepartment of Pathology, Karmanos Cancer Institute, Wayne State University School of Medicine, Detroit, MI 48201, USA. fsarkar@med.wayne.edu
Ginny W Bao
Jiankun Gao
Ramzi M Mohammad
Fazlul H Sarkar
Wayne State University · US

Funding

Specific Targets for Pancreatic Cancer TherapyR01CA109389 · NCI · WAYNE STATE UNIVERSITY · PI MOHAMMAD, RAMZI M. · 2007 to 2011
$1.2M
NCI NIH HHS 5R01CA10939 05NCI NIH HHS R01 CA109389
6 · The paper itself

Abstract

Transcription factors (TFs) play central role in normal cellular physiology and their aberrant expression is linked to different diseases. Hepatocyte Nuclear Factors (HNFs) are TFs that have been recognized to play multiple roles in liver physiology. Emerging research has highlighted their function in the sustenance of solid tumors, indicating that HNFs could serve as possible therapeutic targets in cancer. Although, there have been many attempts to develop HNF targeted drugs, the myriad downstream targets associated with these transcription factors, some of which are critical for normal cell homeostasis, led to the realization that HNFs are not easily druggable. Therefore, identifying and optimizing drugs that can selectively inactivate HNFs is a challenge to the pharmaceutical industry. To achieve this, a more in-depth understanding is required of the HNFs binding partners, the protein interaction networks it regulates and the resulting phenotype. This calls for network analysis of the pathways regulated by HNFs and how chemical perturbations can selectively activate or suppress their functions. Network biology is an emerging field of research that is finding applications in cancer drug discovery. Specifically, network pharmacology is cementing its position in cancer research and has various applications such as biomarker identification, in determining synergistic drug pairs and in drug repurposing. Developing a network understanding of HNFs, the target it hits and responses thereof can enhance our ability to design drugs against these TFs. This article reviews how network pharmacology can help in the identification of druggable avenues in TFs and also allow the selection of drugs and their synergistic pairs against HNFs for cancer therapy.

Indexed as

AnimalsBiomarkers, TumorHepatocyte Nuclear FactorsHumansNeoplasmsSystems BiologyBiomarkers, TumorHepatocyte Nuclear Factors

Identifiers

PMID23237677
PMCPMC3820112
OpenAlexW2077344273

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.