Evidence map›Paper›PMID 31073075›Full record

ArticleHaematologica2019

Somatic variants in epigenetic modifiers can predict failure of response to imatinib but not to second-generation tyrosine kinase inhibitors.

Georgios Nteliopoulos, Alexandra Bazeos, Simone Claudiani, Gareth Gerrard, Edward Curry, Richard Szydlo, Mary Alikian, Hui En Foong, Zacharoula Nikolakopoulou, Sandra Loaiza and 6 more

Open access · goldAbstract read
In one paragraph

Article in Haematologica, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
4.9field-weighted citation impact, top 4% 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

35 citing papers in PubMed, 58 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors at 6 institutions in 2 countries.

Georgios NteliopoulosCentre for Haematology, Department of Medicine, Imperial College, London, UK georgios.nteliopoulos04@imperial.ac.uk.
Alexandra BazeosCentre for Haematology, Department of Medicine, Imperial College, London, UK.
Simone ClaudianiCentre for Haematology, Department of Medicine, Imperial College, London, UK.
Gareth GerrardCentre for Haematology, Department of Medicine, Imperial College, London, UK.
Edward CurryDepartment of Surgery and Cancer, Ovarian Cancer Action Research Centre, Imperial College, London, UK.
Richard SzydloCentre for Haematology, Department of Medicine, Imperial College, London, UK.
Mary AlikianCentre for Haematology, Department of Medicine, Imperial College, London, UK.
Hui En FoongImperial College Healthcare NHS Trust, London, UK.
Zacharoula NikolakopoulouCentre for Haematology, Department of Medicine, Imperial College, London, UK.
Sandra LoaizaCentre for Haematology, Department of Medicine, Imperial College, London, UK.
Jamshid S KhorashadCentre for Haematology, Department of Medicine, Imperial College, London, UK.
Dragana MilojkovicCentre for Haematology, Department of Medicine, Imperial College, London, UK.
Danilo PerrottiCentre for Haematology, Department of Medicine, Imperial College, London, UK.
Robert Peter GaleCentre for Haematology, Department of Medicine, Imperial College, London, UK.
Letizia ForoniCentre for Haematology, Department of Medicine, Imperial College, London, UK.
Jane F ApperleyCentre for Haematology, Department of Medicine, Imperial College, London, UK.
Imperial College London · GBImperial College Healthcare NHS Trust · GBInforma Healthcare · GBOvarian Cancer Action · GBUniversity College London · GBUniversity of Maryland, Baltimore · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There are no validated molecular biomarkers to identify newly-diagnosed individuals with chronic-phase chronic myeloid leukemia likely to respond poorly to imatinib and who might benefit from first-line treatment with a more potent second-generation tyrosine kinase inhibitor. Our inability to predict these 'high-risk' individuals reflects the poorly understood heterogeneity of the disease. To investigate the potential of genetic variants in epigenetic modifiers as biomarkers at diagnosis, we used Ion Torrent next-generation sequencing of 71 candidate genes for predicting response to tyrosine kinase inhibitors and probability of disease progression. A total of 124 subjects with newly-diagnosed chronic-phase chronic myeloid leukemia began with imatinib (n=62) or second-generation tyrosine kinase inhibitors (n=62) and were classified as responders or non-responders based on the

Indexed as

Epigenesis, GeneticMutationAdultAgedAged, 80 and overBiomarkers, TumorFemaleFollow-Up StudiesGene Expression ProfilingGene Expression Regulation, NeoplasticHumansImatinib MesylateLeukemia, Myelogenous, Chronic, BCR-ABL PositiveMaleMiddle AgedProtein Kinase InhibitorsBiomarkers, TumorImatinib MesylateProtein Kinase Inhibitors

Identifiers

PMID31073075
PMCPMC6959189
OpenAlexW2944444127

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.