Evidence map›Paper›PMID 27916857›Full record

ArticleGenes2016

In Silico Characterization of miRNA and Long Non-Coding RNA Interplay in Multiple Myeloma.

Domenica Ronchetti, Martina Manzoni, Katia Todoerti, Antonino Neri, Luca Agnelli

Open access · goldAbstract read
In one paragraph

Article in Genes, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

12 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. [Update on biology of primary plasma cell leukemia].Zhonghua xue ye xue za zhi = Zhonghua xueyexue zazhi · 2022
    Article
  3. Review
  4. Article
  5. Deregulated Expression of Long Non-coding RNA HOX Transcript Antisense RNA (HOTAIR) in Egyptian Patients with Multiple Myeloma.Indian journal of hematology & blood transfusion : an official journal of Indian Society of Hematology and Blood Transfusion · 2020
    Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. [Research progress on long non-coding RNA in multiple myeloma].Zhonghua xue ye xue za zhi = Zhonghua xueyexue zazhi · 2018
    Article
  11. Review
  12. Review
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

5 authors at 2 institutions in 1 country.

Domenica RonchettiDepartment of Oncology and Hemato-Oncology, University of Milano, 20122 Milan, Italy. domenica.ronchetti@unimi.it.
Martina ManzoniDepartment of Oncology and Hemato-Oncology, University of Milano, 20122 Milan, Italy. martina.manzoni@unimi.it.
Katia TodoertiLaboratory of Pre-Clinical and Translational Research, IRCCS-CROB, Referral Cancer Center of Basilicata, 85028 Rionero in Vulture (PZ), Italy. katia.todoerti@gmail.com.
Antonino NeriDepartment of Oncology and Hemato-Oncology, University of Milano, 20122 Milan, Italy. antonino.neri@unimi.it.
Luca AgnelliDepartment of Oncology and Hemato-Oncology, University of Milano, 20122 Milan, Italy. luca.agnelli@gmail.com.
University of Milan · ITCentro di Riferimento Oncologico della Basilicata · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The identification of deregulated microRNAs (miRNAs) and long non-coding RNAs (lncRNAs) in multiple myeloma (MM) has progressively added a further level of complexity to MM biology. In addition, the cross-regulation between lncRNAs and miRNAs has begun to emerge, and theoretical and experimental studies have demonstrated the competing endogenous RNA (ceRNA) activity of lncRNAs as natural miRNA decoys in pathophysiological conditions, including cancer. Currently, information concerning lncRNA and miRNA interplay in MM is virtually absent. Herein, we investigated in silico the lncRNA and miRNA relationship in a representative datasets encompassing 95 MM and 30 plasma cell leukemia patients at diagnosis and in four normal controls, whose expression profiles were generated by a custom annotation pipeline to detect specific lncRNAs. We applied target prediction analysis based on miRanda and RNA22 algorithms to 235 lncRNAs and 459 miRNAs selected with a potential pivotal role in the pathology of MM. Among pairs that showed a significant correlation between lncRNA and miRNA expression levels, we identified 11 lncRNA-miRNA relationships suggestive of a novel ceRNA network with relevance in MM.

Indexed as

lncRNAmiRNAmultiple myeloma

Identifiers

PMID27916857
PMCPMC5192483
OpenAlexW2557582719

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.