Evidence map›Paper›PMID 28420426›Full record

ArticleJournal of experimental & clinical cancer research : CR2017

Genotypes of SLC22A4 and SLC22A5 regulatory loci are predictive of the response of chronic myeloid leukemia patients to imatinib treatment.

Monika Jaruskova, Nikola Curik, Rajna Hercog, Vaclava Polivkova, Eliska Motlova, Vladimir Benes, Hana Klamova, Pavla Pecherkova, Petra Belohlavkova, Filip Vrbacky and 1 more

Open access · goldAbstract read
In one paragraph

Article in Journal of experimental & clinical cancer research : CR, 2017. 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
1.6field-weighted citation impact, top 16% 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, 25 citations in OpenAlex.

  1. Trial
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  5. Article
  6. Contribution of genetic polymorphism inJournal of gastrointestinal oncology · 2024
    Article
  7. Review
  8. Article
  9. Review
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  11. Article
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  13. Carnitine Traffic in Cells. Link With Cancer.Frontiers in cell and developmental biology · 2020
    Review
  14. The argument for using imatinib in CML.Hematology. American Society of Hematology. Education Program · 2018
    Review
  15. 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

11 authors at 3 institutions in 2 countries.

Monika JaruskovaInstitute of Hematology and Blood Transfusion, U Nemocnice 1, 12820, Prague, Czech Republic.
Nikola CurikInstitute of Hematology and Blood Transfusion, U Nemocnice 1, 12820, Prague, Czech Republic.
Rajna HercogEuropean Molecular Biology Laboratory, Genomics Core Facility, Heidelberg, Germany.
Vaclava PolivkovaInstitute of Hematology and Blood Transfusion, U Nemocnice 1, 12820, Prague, Czech Republic.
Eliska MotlovaInstitute of Hematology and Blood Transfusion, U Nemocnice 1, 12820, Prague, Czech Republic.
Vladimir BenesEuropean Molecular Biology Laboratory, Genomics Core Facility, Heidelberg, Germany.
Hana KlamovaInstitute of Hematology and Blood Transfusion, U Nemocnice 1, 12820, Prague, Czech Republic.
Pavla PecherkovaInstitute of Hematology and Blood Transfusion, U Nemocnice 1, 12820, Prague, Czech Republic.
Petra BelohlavkovaCELL, the Czech Leukemia Study Group for Life, Brno, Czech Republic.
Filip Vrbacky4th Department of Internal Medicine Hematology, Charles University Faculty Hospital and Faculty of Medicine, Hradec Kralove, Czech Republic.
Katerina Machova PolakovaInstitute of Hematology and Blood Transfusion, U Nemocnice 1, 12820, Prague, Czech Republic. katerina.machova@uhkt.cz.
Institute of Haematology and Blood Transfusion · CZCharles University · CZEuropean Molecular Biology Laboratory · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThrough high-throughput next-generation sequencing of promoters of solute carrier and ATP-binding cassette genes, which encode drug transporters, we aimed to identify SNPs associated with the response to imatinib administered for first-line treatment of patients with chronic myeloid leukemia.

methodsIn silico analysis using publicly available databases was done to select the SLC and ABC genes and their promoters for the next-generation sequencing. SNPs associated with the imatinib response were identified using Fisher's exact probability tests and subjected to the linkage disequilibrium analyses with regulatory loci of concerned genes. We analyzed cumulative achievement of major molecular response and probability of event free survival in relation to identified SNP genotypes in 129 CML patients and performed multivariate analysis for determination of genotypes as independent predictors of outcome. Gene expression analysis of eight cell lines naturally carrying different genotypes was performed to outline an impact of genotypes on the gene expression.

resultsWe observed significant differences in the frequencies of the rs460089-GC and rs460089-GG (SLC22A4) genotypes among rs2631365-TC (SLC22A5) genotype carriers that were associated with optimal and non-optimal responses, respectively. Loci rs460089 and rs2631365 were in highly significant linkage disequilibrium with 12 regulatory loci in introns of SLC22A4 and SLC22A5 encoding imatinib transporters. Genotype association analysis with the response to imatinib indicated that rs460089-GC carriers had a significantly higher probability of achieving a stable major molecular response (BCR-ABL1 transcript level below or equal to 0.1% in the international scale). In contrast, the rs460089-GG represented a risk factor for imatinib failure, which was significantly higher in rs460089-GG_rs2631365-TC carriers.

conclusionsThis exploratory study depicted potentially important genetic markers predicting outcome of imatinib treatment, which may be helpful for tailoring therapy in clinical practice.

Indexed as

Polymorphism, Single NucleotideAntineoplastic AgentsCell Line, TumorFemaleGenotypeHigh-Throughput Nucleotide SequencingHumansImatinib MesylateK562 CellsLeukemia, Myelogenous, Chronic, BCR-ABL PositiveLinkage DisequilibriumMaleMutation RateOrganic Cation Transport ProteinsPromoter Regions, GeneticSequence Analysis, DNAAntineoplastic AgentsImatinib MesylateOrganic Cation Transport ProteinsSLC22A4 protein, humanSLC22A5 protein, humanSolute Carrier Family 22 Member 5SymportersCMLImatinibResponseSLC

Identifiers

PMID28420426
PMCPMC5395939
OpenAlexW2606351115

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.