Evidence map›Paper›PMID 20470758›Full record

ReviewBiochemical pharmacology2010

Targeted therapy of chronic myeloid leukemia.

Con Sullivan, Cong Peng, Yaoyu Chen, Dongguang Li, Shaoguang Li

Open access · greenAbstract readReview
In one paragraph

Review in Biochemical pharmacology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

15 citing papers in PubMed, 33 citations in OpenAlex.

  1. Undifferentiated Blast Crisis in Chronic Myeloid Leukaemia:Sultan Qaboos University medical journal · 2026
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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 2 institutions in 2 countries.

Con SullivanMaine Institute for Human Genetics and Health, 246 Sylvan Road, Bangor, ME 04401, USA.
Cong Peng
Yaoyu Chen
Dongguang Li
Shaoguang Li
University of Massachusetts Chan Medical School · USEdith Cowan University · AU

Funding

Survival Mechanisms of Cancer-initiating (Stem) Cells in Ph+ LeukemiaR01CA122142 · NCI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI LI, SHAOGUANG · 2007 to 2011
$1.6M
Src Kinases in Ph+ Lymphoblastic LeukemiaR01CA114199 · NCI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI LI, SHAOGUANG · 2005 to 2009
$1.4M
NCI NIH HHS R01 CA114199NCI NIH HHS R01 CA122142
6 · The paper itself

Abstract

Inhibition of BCR-ABL with kinase inhibitors has become a well-accepted strategy for targeted therapy of Philadelphia-positive (Ph(+)) chronic myeloid leukemia (CML) and has been shown to be highly effective in controlling the disease. However, BCR-ABL kinase inhibitors do not efficiently kill leukemic stem cells (LSCs), indicating that this therapeutic strategy does not lead to a cure of CML. Development of curative therapies of CML require the identification of genes/pathways that play critical roles in survival and self-renewal of LSCs. Targeting of these key BCR-ABL downstream genes provides an opportunity to eradicate LSCs, as shown in our work that identifies the Alox5 gene as a key regulator of the function of CML LSCs. Immediate clinical trials are necessary to test the effectiveness of targeting a key BCR-ABL downstream gene in eradicating LSCs in CML patients. In this review, we will discuss current targeted therapies of CML using BCR-ABL kinase inhibitors, with a focus on the importance of developing a targeted therapy of CML through identification of target genes in CML LSCs.

Indexed as

AnimalsAntineoplastic AgentsDisease Models, AnimalGenes, ablHumansLeukemia, Myelogenous, Chronic, BCR-ABL PositiveMiceAntineoplastic Agents

Identifiers

PMID20470758
PMCPMC4440481
OpenAlexW2032454103

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.