Evidence map›Paper›PMID 27638632›Full record

ArticleFunctional & integrative genomics2017

Regulatory network analysis of microRNAs and genes in imatinib-resistant chronic myeloid leukemia.

Ismael Soltani, Hanen Gharbi, Islem Ben Hassine, Ghada Bouguerra, Kais Douzi, Mouheb Teber, Salem Abbes, Samia Menif

Abstract read
PubMed Publisher
In one paragraph

Article in Functional & integrative genomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 30% 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

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. MicroRNAs in model and complex organisms.Functional & integrative genomics · 2017
    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

8 authors at 2 institutions in 1 country.

Ismael SoltaniMolecular and Cellular Hematology Laboratory, Institut Pasteur de Tunis, Université Tunis El Manar, Tunis, Tunisia. soltaniismael@yahoo.fr.
Hanen GharbiMolecular and Cellular Hematology Laboratory, Institut Pasteur de Tunis, Université Tunis El Manar, Tunis, Tunisia.
Islem Ben HassineMolecular and Cellular Hematology Laboratory, Institut Pasteur de Tunis, Université Tunis El Manar, Tunis, Tunisia.
Ghada BouguerraMolecular and Cellular Hematology Laboratory, Institut Pasteur de Tunis, Université Tunis El Manar, Tunis, Tunisia.
Kais DouziMolecular and Cellular Hematology Laboratory, Institut Pasteur de Tunis, Université Tunis El Manar, Tunis, Tunisia.
Mouheb TeberMolecular and Cellular Hematology Laboratory, Institut Pasteur de Tunis, Université Tunis El Manar, Tunis, Tunisia.
Salem AbbesMolecular and Cellular Hematology Laboratory, Institut Pasteur de Tunis, Université Tunis El Manar, Tunis, Tunisia.
Samia MenifMolecular and Cellular Hematology Laboratory, Institut Pasteur de Tunis, Université Tunis El Manar, Tunis, Tunisia.
Institut Pasteur de Tunis · TNTunis El Manar University · TN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Targeted therapy in the form of selective breakpoint cluster region-abelson (BCR/ABL) tyrosine kinase inhibitor (imatinib mesylate) has successfully been introduced in the treatment of the chronic myeloid leukemia (CML). However, acquired resistance against imatinib mesylate (IM) has been reported in nearly half of patients and has been recognized as major issue in clinical practice. Multiple resistance genes and microRNAs (miRNAs) are thought to be involved in the IM resistance process. These resistance genes and miRNAs tend to interact with each other through a regulatory network. Therefore, it is crucial to study the impact of these interactions in the IM resistance process. The present study focused on miRNA and gene network analysis in order to elucidate the role of interacting elements and to understand their functional contribution in therapeutic failure. Unlike previous studies which were centered only on genes or miRNAs, the prime focus of the present study was on relationships. To this end, three regulatory networks including differentially expressed, related, and global networks were constructed and analyzed in search of similarities and differences. Regulatory associations between miRNAs and their target genes, transcription factors and miRNAs, as well as miRNAs and their host genes were also macroscopically investigated. Certain key pathways in the three networks, especially in the differentially expressed network, were featured. The differentially expressed network emerged as a fault map of IM-resistant CML. Theoretically, the IM resistance process could be prevented by correcting the included errors. The present network-based approach to study resistance miRNAs and genes might help in understanding the molecular mechanisms of IM resistance in CML as well as in the improvement of CML therapy.

Indexed as

HumansImatinib MesylateLeukemia, Myelogenous, Chronic, BCR-ABL PositiveMicroRNAsImatinib MesylateMicroRNAsChronic myeloid leukemiaImatinib mesylateMicroRNANetworkResistanceTranscription factor

Identifiers

PMID27638632
OpenAlexW2520590270

What OpenQuestion holds

Textmetadata
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.