Evidence map›Paper›PMID 20147328›Full record

ArticleProceedings. Biological sciences2010

Heterogeneity in chronic myeloid leukaemia dynamics during imatinib treatment: role of immune responses.

Dominik Wodarz

Abstract read
In one paragraph

Article in Proceedings. Biological sciences, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

1 author.

Dominik WodarzDepartment of Ecology and Evolutionary Biology, University of California-Irvine, Irvine, CA 92607, USA. dwodarz@uci.edu

Funding

Measuring Methylation Kinetics in Cancer Cells: Computations and ExperimentsR01CA129286 · NCI · UNIVERSITY OF CALIFORNIA-IRVINE · PI KOMAROVA, NATALIA L · 2008 to 2012
$1.5M
NCI NIH HHS 1R01CA129286NCI NIH HHS R01 CA129286
6 · The paper itself

Abstract

Previous studies have shown that during imatinib therapy, the decline of chronic myeloid leukaemia BCR-ABL transcript numbers involves a fast phase followed by a slow phase in averaged datasets. Drug resistance leads to regrowth. In this paper, variation of treatment responses between patients is examined. A significant positive correlation is found between slopes of the fast and the slow phase of decline. A significant negative correlation is found between slopes of the slow phase of decline and the regrowth phase. No correlation is found between slopes of the fast phase of decline and the regrowth phase. A mathematical model that is successfully fitted to diverse clinical profiles explains these correlations by invoking the immune response as a key determinant of tumour decline during treatment. Boosting immunity during drug therapy could enhance the response to treatment in patients.

Indexed as

Models, BiologicalAntineoplastic AgentsBenzamidesComputer SimulationDrug Administration ScheduleHumansImatinib MesylateLeukemia, Myelogenous, Chronic, BCR-ABL PositivePiperazinesPyrimidinesAntineoplastic AgentsBenzamidesImatinib MesylatePiperazinesPyrimidines

Identifiers

PMID20147328
PMCPMC2871874

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.