Evidence map›Paper›PMID 15858614›Full record

ReviewLeukemia2005

Predicting the effect of transcription therapy in hematologic malignancies.

A Melnick

Abstract readReview
PubMed Publisher
In one paragraph

Review in Leukemia, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.4field-weighted citation impact, top 21% 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

5 citing papers in PubMed, 16 citations in OpenAlex.

  1. Trial
  2. Review
  3. Review
  4. Review
  5. 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.

A MelnickDepartment of Developmental and Molecular Biology and Medical Oncology, Albert Einstein College of Medicine, Bronx, NY 10461, USA. amelnick@aecom.yu.edu
Albert Einstein College of Medicine · US

Funding

Transcriptional silencing by the BCL6 oncoproteinR01CA104348 · NCI · WEILL MEDICAL COLL OF CORNELL UNIV · PI MELNICK, ARI M. · 2004 to 2014
$2.6M
NCI NIH HHS R01CA104348
6 · The paper itself

Abstract

Molecular lesions of genes encoding for transcriptional regulatory proteins are common oncogenic events in hematologic malignancies. Transcriptional activation and repression both occur by virtue of the choreographed recruitment of multisubunit cofactor complexes to target gene loci. As a consequence, the three-dimensional structure of the target gene is altered and its potential to support transcription is increased or decreased. The complexity of the transcriptional process offers a rich substrate for designing therapeutic agents. The objective of such 'transcription therapy' is to regain control over cohorts of target genes and restore the normal genetic and epigenetic programming of the cancer cell. The success of all-trans retinoic acid in the treatment of acute promyelocytic leukemia indicates that transcription therapy can be highly effective and safe. A classification scheme of these therapeutic strategies is proposed herein, which allows predictions to be made regarding specificity, efficacy, disease spectrum and side effects. This framework could help facilitate discussion of the mechanisms of action of transcription therapy drugs as well as the design of preclinical and clinical trials in the future.

Indexed as

Antineoplastic AgentsDecision Support TechniquesHematologic NeoplasmsHumansTranscription FactorsTranscription, GeneticTreatment OutcomeAntineoplastic AgentsTranscription Factors

Identifiers

PMID15858614
OpenAlexW1970314804

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.