Evidence map›Paper›PMID 20981265›Full record

ReviewJournal of biomedicine & biotechnology2011

Rationale for possible targeting of histone deacetylase signaling in cancer diseases with a special reference to pancreatic cancer.

Mehdi Ouaïssi, Urs Giger, Igor Sielezneff, Nicolas Pirrò, Bernard Sastre, Ali Ouaissi

Abstract readReview
In one paragraph

Review in Journal of biomedicine & biotechnology, 2011. 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
–field-weighted citation impact
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.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
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.

Mehdi OuaïssiService de Chirurgie Digestive Pôle d'Oncologie et Spécialités Médico-Chirurgicales, Hôpital Timone, Assistance Pubique-Hôpitaux de Marseille, Marseille, France.
Urs Giger
Igor Sielezneff
Nicolas Pirrò
Bernard Sastre
Ali Ouaissi

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is ongoing interest to identify signaling pathways and genes that play a key role in carcinogenesis and the development of resistance to antitumoral drugs. Given that histone deacetylases (HDACs) interact with various partners through complex molecular mechanims leading to the control of gene expression, they have captured the attention of a large number of researchers. As a family of transcriptional corepressors, they have emerged as important regulators of cell differentiation, cell cycle progression, and apoptosis. Several HDAC inhibitors (HDACis) have been shown to efficiently protect against the growth of tumor cells in vitro as well as in vivo. The pancreatic cancer which represents one of the most aggressive cancer still suffers from inefficient therapy. Recent data, although using in vitro tumor cell cultures and in vivo chimeric mouse model, have shown that some of the HDACi do express antipancreatic tumor activity. This provides hope that some of the HDACi could be potential efficient anti-pancreatic cancer drugs. The purpose of this review is to analyze some of the current data of HDACi as possible targets of drug development and to provide some insight into the current problems with pancreatic cancer and points of interest for further study of HDACi as potential molecules for pancreatic cancer adjuvant therapy.

Indexed as

Signal TransductionAnimalsAntineoplastic Combined Chemotherapy ProtocolsCell DifferentiationHistone Deacetylase InhibitorsHistone DeacetylasesHumansPancreatic NeoplasmsHistone Deacetylase InhibitorsHistone Deacetylases

Identifiers

PMID20981265
PMCPMC2964042

What OpenQuestion holds

Textmetadata
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.