Evidence map›Paper›PMID 21552305›Full record

ArticleBone marrow transplantation2012

CT60 single-nucleotide polymorphism as a surrogate marker for donor lymphocyte infusion outcome after allogeneic cell transplantation for acute leukemia.

Y Metaxas, H Bertz, A Spyridonidis, M Spyroupoulou-Vlachou, C Porzelius, J Finke

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Article in Bone marrow transplantation, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.0field-weighted citation impact, top 22% 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

7 citing papers in PubMed, 13 citations in OpenAlex.

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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

6 authors at 4 institutions in 2 countries.

Y MetaxasDepartment of Hematology/Oncology, University of Freiburg Medical Center, Hugstetterstrasse 55, Freiburg, Baden-Wurttemberg, Germany. yanmetaxas@yahoo.gr
H Bertz
A Spyridonidis
M Spyroupoulou-Vlachou
C Porzelius
J Finke
University Medical Center Freiburg · DEUniversity of Freiburg · DEAlexandra Hospital · GRUniversity of Patras · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The benefit of survival at the expense of new GVHD after DLI for acute leukemia following human allogeneic hematopoietic cell transplantation (allo-HCT) remains a matter of controversy. The detection of biological markers predicting this outcome would be an enormous breakthrough. The purpose of this study was the analysis of CT60 single-nucleotide polymorphism (SNP) of the CTLA-4 T-regulatory gene as a surrogate marker for DLI outcome in this difficult setting. Using Pyrosequencing, we genotyped the alleles of the CT60 SNP of 79 DLI donors and correlated them with the post-DLI outcome of their matching recipients. The presence of a donor 'AA' or 'AG' CT60 genotype vs a 'GG' genotype was an independent factor for remaining in complete chimerism/remission post-DLI (odds ratio (OR) 2.61 vs 0.42, respectively, P=0.05). Further, in cases with evident post-DLI allo-reactivity the importance of an 'AA' or 'AG' vs a 'GG' genotype gained significance for ongoing complete chimerism (OR 4.35 vs 0.32, P=0.03). Neither alterations in cumulative DLI dose nor any other clinical parameter significantly weakened the importance of CT60 SNP. Our results provide evidence for the necessity of genotyping CT60 SNP prior to DLI administration in patients with acute leukemia.

Indexed as

Polymorphism, Single NucleotideBiomarkersCTLA-4 AntigenFemaleGenetic MarkersGenotypeHumansLeukemia, Myeloid, AcuteLymphocytesLymphocyte TransfusionMaleOdds RatioPrecursor Cell Lymphoblastic Leukemia-LymphomaRemission InductionRetrospective StudiesTime FactorsBiomarkersCTLA-4 AntigenCTLA4 protein, humanGenetic Markers

Identifiers

PMID21552305
OpenAlexW2049788585

What OpenQuestion holds

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Registered trials

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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.