Evidence map›Paper›PMID 24904826›Full record

ReviewFrontiers in oncology2014

The therapeutic potential of class I selective histone deacetylase inhibitors in ovarian cancer.

Dineo Khabele

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in oncology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

28 citing papers in PubMed, 40 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Molecular Management of High-Grade Serous Ovarian Carcinoma.International journal of molecular sciences · 2022
    Review
  5. Article
  6. Review
  7. Review
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. The Role of HDACs and HDACi in Cartilage and Osteoarthritis.Frontiers in cell and developmental biology · 2020
    Review
  15. Article
  16. Review
  17. Article
  18. Review
  19. Epigenetic inhibitors for the precision treatment ofExpert review of precision medicine and drug development · 2018
    Article
  20. 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

1 author at 1 institution in 1 country.

Dineo KhabeleDepartment of Obstetrics and Gynecology, Division of Gynecologic Oncology, Vanderbilt University , Nashville, TN , USA ; Vanderbilt-Ingram Cancer Center , Nashville, TN , USA.
Vanderbilt-Ingram Cancer Center

Funding

Targeting Histone Deacetylases with Small Moleule Inhibitors in Ovarian CancerK08CA148887 · NCI · VANDERBILT UNIVERSITY · PI KHABELE, DINEO · 2010 to 2014
$795k
NCI NIH HHS K08 CA148887
6 · The paper itself

Abstract

Epithelial ovarian cancer remains the deadliest gynecologic malignancy. Despite advances in treatment, new approaches are needed. Histone deacetylases (HDACs) are a family of enzymes that regulate gene expression by removing acetyl groups from lysine residues on histones and non-histone proteins. Inhibition of HDACs with small molecules has led to the development of histone deacetylase inhibitors (HDACi) that are in clinical use, primarily for hematologic malignancies. Although clinical trials with HDACi as single agents in solid tumors have been disappointing, data from independent labs and recent work by our group show that class I selective HDACi have potent anti-tumor effects in pre-clinical models of ovarian cancer. This review summarizes the role of HDACs in ovarian cancer and the potential niche for selective class I HDACi, particularly HDAC3 in ovarian cancer therapy.

Indexed as

epigenetic therapyhistone deacetylase inhibitorshistone deacetylasesovarian cancertargeted therapy

Identifiers

PMID24904826
PMCPMC4033132
OpenAlexW2108157884

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.