Evidence map›Paper›PMID 26056083›Full record

ArticleOncotarget2015

Integrated analysis of microRNAs, transcription factors and target genes expression discloses a specific molecular architecture of hyperdiploid multiple myeloma.

Maria Teresa Di Martino, Pietro Hiram Guzzi, Daniele Caracciolo, Luca Agnelli, Antonino Neri, Brian A Walker, Gareth J Morgan, Mario Cannataro, Pierfrancesco Tassone, Pierosandro Tagliaferri

Abstract read
In one paragraph

Article in Oncotarget, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. Article
  13. Using miRNA-Analyzer for the Analysis of miRNA Data.Microarrays (Basel, Switzerland) · 2016
    Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. MicroRNAs in multiple myeloma and related bone disease.Annals of translational medicine · 2015
    Review
  19. 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

10 authors.

Maria Teresa Di MartinoDepartment of Experimental and Clinical Medicine, Magna Graecia University, Salvatore Venuta University Campus, Catanzaro, Italy.
Pietro Hiram GuzziDepartment of Surgical and Medical Sciences, University of Catanzaro, Catanzaro, Italy.
Daniele CaraccioloDepartment of Experimental and Clinical Medicine, Magna Graecia University, Salvatore Venuta University Campus, Catanzaro, Italy.
Luca AgnelliDepartment of Clinical Sciences and Community Health, University of Milan, Hematology1 CTMO, Foundation IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milano, Italy.
Antonino NeriDepartment of Clinical Sciences and Community Health, University of Milan, Hematology1 CTMO, Foundation IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milano, Italy.
Brian A WalkerCentre for Molecular Pathology, The Royal Marsden Hospital, London, UK.
Gareth J MorganMyeloma Institute for Research and Therapy, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
Mario CannataroDepartment of Surgical and Medical Sciences, University of Catanzaro, Catanzaro, Italy.
Pierfrancesco TassoneDepartment of Experimental and Clinical Medicine, Magna Graecia University, Salvatore Venuta University Campus, Catanzaro, Italy.
Pierosandro TagliaferriDepartment of Experimental and Clinical Medicine, Magna Graecia University, Salvatore Venuta University Campus, Catanzaro, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiple Myeloma (MM) is a malignancy characterized by the hyperdiploid (HD-MM) and the non-hyperdiploid (nHD-MM) subtypes. To shed light within the molecular architecture of these subtypes, we used a novel integromics approach. By annotated MM patient mRNA/microRNA (miRNA) datasets, we investigated mRNAs and miRNAs profiles with relation to changes in transcriptional regulators expression. We found that HD-MM displays specific gene and miRNA expression profiles, involving the Signal Transducer and Activator of Transcription (STAT)3 pathway as well as the Transforming Growth Factor-beta (TGFβ) and the transcription regulator Nuclear Protein-1 (NUPR1). Our data define specific molecular features of HD-MM that may translate in the identification of novel relevant druggable targets.

Indexed as

DiploidyGene ExpressionGene Expression Regulation, NeoplasticHumansMicroRNAsModels, GeneticMultiple MyelomaRNA, MessengerTranscription FactorsMicroRNAsRNA, MessengerTranscription Factorshyperdiploid myelomaintegromicsmicroRNAmiRNAmultiple myelomatranscription factors

Identifiers

PMID26056083
PMCPMC4662480

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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.