Evidence map›Paper›PMID 22821389›Full record

ArticleInternational journal of hematology2012

Polymorphisms of ERCC1 genotype associated with response to imatinib therapy in chronic phase chronic myeloid leukemia.

Jee Hyun Kong, Yeung-Chul Mun, Seonwoo Kim, Hang Seok Choi, Yeo-Kyeoung Kim, Hyeoung-Joon Kim, Joon Ho Moon, Sang Kyun Sohn, Sung-Hyun Kim, Chul Won Jung and 1 more

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Article in International journal of hematology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

8 citing papers in PubMed, 12 citations in OpenAlex.

  1. Trial
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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

11 authors at 6 institutions in 2 countries.

Jee Hyun KongDivision of Hematology/Medical Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Yeung-Chul Mun
Seonwoo Kim
Hang Seok Choi
Yeo-Kyeoung Kim
Hyeoung-Joon Kim
Joon Ho Moon
Sang Kyun Sohn
Sung-Hyun Kim
Chul Won Jung
Dong Hwan Dennis Kim
Samsung Medical Center · KRChonnam National University Hwasun Hospital · KRKyungpook National University Hospital · KRDong-A University · KREwha Womans University · KRUniversity of Toronto · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

DNA repair machinery may contribute to the mechanism of the action in imatinib. We examined the association between the single nucleotide polymorphism (SNP) markers involved in the DNA repair enzyme pathway (ERCC1/2/4/5, XRCC1/2/4/5) and the clinical outcomes following an imatinib therapy in chronic phase chronic myeloid leukemia (CML) patients. A total of 169 Korean patients were included. Of the 19 SNPs from these patients, those with the TT genotype of ERCC1 (rs11615) showed a higher probability of achieving major cytogenetic response [P = 0.002, HR 5.14 (95 % CI 1.83-14.43)], complete cytogenetic response [P = 0.012, HR 3.47 (95 % CI 1.31-9.17)], and major molecular response [P = 0.001, HR 5.71 (95 % CI 2.13-15.30)] than those with CC or CT genotypes. This suggests that SNP markers on ERCC1 may predict the response to imatinib therapy, which proposes the potential involvement of the DNA repair machinery in the mechanism of imatinib action in chronic phase CML.

Indexed as

GenotypePolymorphism, Single NucleotideAdolescentAdultAgedAged, 80 and overBenzamidesDNA-Binding ProteinsEndonucleasesFemaleHumansImatinib MesylateLeukemia, Myeloid, Chronic-PhaseMaleMiddle AgedPiperazinesBenzamidesDNA-Binding ProteinsEndonucleasesERCC1 protein, humanImatinib MesylatePiperazinesProtein Kinase InhibitorsPyrimidines

Identifiers

PMID22821389
OpenAlexW2078189286

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.