Evidence map›Paper›PMID 23699600›Full record

ArticleBlood2013

Global methylation analysis identifies prognostically important epigenetically inactivated tumor suppressor genes in multiple myeloma.

Martin F Kaiser, David C Johnson, Ping Wu, Brian A Walker, Annamaria Brioli, Fabio Mirabella, Christopher P Wardell, Lorenzo Melchor, Faith E Davies, Gareth J Morgan

Abstract read
In one paragraph

Article in Blood, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 99 papers.

0numbers the graph read from it
0cells of the map it votes in
99citing papers in PubMed
–field-weighted citation impact
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

99 citing papers in PubMed.

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39 more citing papers are in PubMed but not listed here.

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

10 authors.

Martin F KaiserHaemato-Oncology Research Unit, Division of Molecular Pathology, The Institute of Cancer Research, Cotswold Rd, Sutton, Surrey, United Kingdom.
David C Johnson
Ping Wu
Brian A Walker
Annamaria Brioli
Fabio Mirabella
Christopher P Wardell
Lorenzo Melchor
Faith E Davies
Gareth J Morgan

Funding

Cancer Research UK
6 · The paper itself

Abstract

Outcome in multiple myeloma is highly variable and a better understanding of the factors that influence disease biology is essential to understand and predict behavior in individual patients. In the present study, we analyzed combined genomewide DNA methylation and gene expression data of patients treated in the Medical Research Council Myeloma IX trial. We used these data to identify epigenetically repressed tumor suppressor genes with prognostic relevance in myeloma. We identified 195 genes with changes in methylation status that were significantly associated with prognosis. Combining DNA methylation and gene expression data led to the identification of the epigenetically regulated tumor modulating genes GPX3, RBP1, SPARC, and TGFBI. Hypermethylation of these genes was associated with significantly shorter overall survival, independent of age, International Staging System score, and adverse cytogenetics. The 4 differentially methylated and expressed genes are known to mediate important tumor suppressive functions including response to chemotherapy (TGFBI), interaction with the microenvironment (SPARC), retinoic acid signaling (RBP1), and the response to oxidative stress (GPX3), which could explain the prognostic impact of their differential methylation. Assessment of the DNA methylation status of the identified genes could contribute to the molecular characterization of myeloma, which is prerequisite for an individualized treatment approach.

Indexed as

DNA MethylationEpigenesis, GeneticGene Expression ProfilingGenes, Tumor SuppressorAdultAgedAged, 80 and overAzacitidineChromosome AberrationsDecitabineDisease ProgressionFemaleGene Expression Regulation, NeoplasticHumansMaleMiddle AgedAzacitidineDecitabineOsteonectinSPARC protein, humanTransforming Growth Factor beta1Tumor Suppressor Proteins

Identifiers

PMID23699600
PMCPMC3709654

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.