Evidence map›Paper›PMID 19965645›Full record

ArticleBlood2010

SNP array analysis of tyrosine kinase inhibitor-resistant chronic myeloid leukemia identifies heterogeneous secondary genomic alterations.

Daniel Nowak, Seishi Ogawa, Markus Müschen, Motohiro Kato, Norihiko Kawamata, Antonie Meixel, Verena Nowak, Han S Kim, Sharon Kang, Ronald Paquette and 10 more

Erratum issuedOpen access · bronzeAbstract read
In one paragraph

Article in Blood, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 11% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. SNP Array in Hematopoietic Neoplasms: A Review.Microarrays (Basel, Switzerland) · 2015
    Review
  6. Review
  7. Article
  8. Review
  9. Selection of therapy: rational decisions based on molecular events.Hematology/oncology clinics of North America · 2011
    Review
  10. Article
  11. Article
  12. Article
  13. Chronic myeloid leukemia: mechanisms of blastic transformation.The Journal of clinical investigation · 2010
    Review
4 · The record

Corrections and comments

  • Erratum issued
    Thoenissen, Nils H [corrected to Thoennissen, Nils H]
5 · Who and what money

Authors and funding

20 authors at 10 institutions in 4 countries.

Daniel NowakDivision of Hematology and Oncology, Cedars-Sinai Medical Center, University of California-Los Angeles School of Medicine, CA 90048, USA. Daniel.nowak@medma.uni-heidelberg.de
Seishi Ogawa
Markus Müschen
Motohiro Kato
Norihiko Kawamata
Antonie Meixel
Verena Nowak
Han S Kim
Sharon Kang
Ronald Paquette
Mi-Sook Chang
Nils H Thoennissen
Nils H Thoenissen
Max Mossner
Wolf-Karsten Hofmann
Alexander Kohlmann
Tamara Weiss
Torsten Haferlach
Claudia Haferlach
H Phillip Koeffler
Munich Leukemia Laboratory (Germany) · DECedars-Sinai Medical Center · USHeidelberg University · DEJapan Science and Technology Agency · JPUniversity Hospital Heidelberg · DEUniversity of California, Los Angeles · USNational University of Singapore · SGRonald Reagan UCLA Medical Center · USUniversity of Southern California · USUSC Norris Comprehensive Cancer Center · US

Funding

REGULATION OF HEMATOPOIETIC CYTOKINESR01CA026038 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI KOEFFLER, HAROLD PHILLIP · 1985 to 2013
$4.7M
PRE-B CELL RECEPTOR SIGNALING IN ACUTE LYMPHOBLASTIC LEUKEMIAR01CA137060 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MÜSCHEN, MARKUS · 2009 to 2016
$2.7M
AID-mediated genetic instability in BCR-ABL1-transformed B cell lineage leukemiaR01CA139032 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MÜSCHEN, MARKUS · 2009 to 2013
$1.6M
Mechanism of BCL6-dependent stem cell maintenance in B cell lineage leukemiaR21CA152497 · NCI · CHILDREN'S HOSPITAL OF LOS ANGELES · PI MÜSCHEN, MARKUS · 2010 to 2011
$378k
NCI NIH HHS 5R01CA026038-31NCI NIH HHS R01 CA026038NCI NIH HHS R01 CA137060NCI NIH HHS R01 CA139032NCI NIH HHS R21 CA152497
6 · The paper itself

Abstract

To elucidate whether tyrosine kinase inhibitor (TKI) resistance in chronic myeloid leukemia is associated with characteristic genomic alterations, we analyzed DNA samples from 45 TKI-resistant chronic myeloid leukemia patients with 250K single nucleotide polymorphism arrays. From 20 patients, matched serial samples of pretreatment and TKI resistance time points were available. Eleven of the 45 TKI-resistant patients had mutations of BCR-ABL1, including 2 T315I mutations. Besides known TKI resistance-associated genomic lesions, such as duplication of the BCR-ABL1 gene (n = 8) and trisomy 8 (n = 3), recurrent submicroscopic alterations, including acquired uniparental disomy, were detectable on chromosomes 1, 8, 9, 17, 19, and 22. On chromosome 22, newly acquired and recurrent deletions of the IGLC1 locus were detected in 3 patients, who had previously presented with lymphoid or myeloid blast crisis. This may support a hypothesis of TKI-induced selection of subclones differentiating into immature B-cell progenitors as a mechanism of disease progression and evasion of TKI sensitivity.

Indexed as

Polymorphism, Single NucleotideBenzamidesChromosome AberrationsChromosomes, Human, Pair 1Chromosomes, Human, Pair 17Chromosomes, Human, Pair 19Chromosomes, Human, Pair 22Chromosomes, Human, Pair 8Chromosomes, Human, Pair 9DasatinibDrug Resistance, NeoplasmFusion Proteins, bcr-ablGene Expression ProfilingGene Expression Regulation, LeukemicHumansImatinib MesylateBenzamidesDasatinibFusion Proteins, bcr-ablImatinib MesylatenilotinibPiperazinesProtein Kinase InhibitorsProtein-Tyrosine KinasesPyrimidinesThiazoles

Identifiers

PMID19965645
PMCPMC2817631
OpenAlexW1976529806

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.