Evidence map›Paper›PMID 41074642›Full record

ReviewNanomedicine (London, England)2025

An overview of strategies and challenges adopted to silence BCR-ABL gene by small interfering RNA.

Laura Fancello, Maria Manconi, Maria Letizia Manca

Abstract readReview
In one paragraph

Review in Nanomedicine (London, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Laura FancelloDepartment of Life and Environmental Sciences, University of Cagliari, University Campus, S.P, Monserrato, Italy.
Maria ManconiDepartment of Life and Environmental Sciences, University of Cagliari, University Campus, S.P, Monserrato, Italy.
Maria Letizia MancaDepartment of Life and Environmental Sciences, University of Cagliari, University Campus, S.P, Monserrato, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BCR-ABL oncogene associated with chronic myeloid leukemia (CML) encodes for tyrosine kinase with enhanced activity that drives the uncontrolled proliferation of white blood cells. The therapy with tyrosine kinase inhibitors improves the life expectancy of patients without curative effects. However, lifelong treatments are required and usually associated with adverse effects and drug resistance. Alternatively, gene-silencing using nucleic acids has been proposed to avoid the synthesis of protein kinase. The use of RNA Interference seems to be the most promising strategy for new therapy. This review provides an overview of clinically used therapy with tyrosine kinase inhibitors and explores future advances using RNA interference, especially siRNA, as it is the one tested the most up to now. The studies reporting the use of siRNA to silence BCR-ABL gene are analyzed based on the used sequence, chemical modifications, and delivery systems. The sequence that targets specific regions of BCR-ABL gene and chemical modifications that improve stability, specificity, and potency are underlined. Finally, the studies devoted to delivering siRNA have been examined based on the vector nature (natural or synthetic) and delivery mechanism (conjugation or loading). The level of maturity reached (

Indexed as

Fusion Proteins, bcr-ablLeukemia, Myelogenous, Chronic, BCR-ABL PositiveRNA, Small InterferingAnimalsGene SilencingHumansProtein Kinase InhibitorsRNA InterferenceFusion Proteins, bcr-ablProtein Kinase InhibitorsRNA, Small InterferingBCR-ABLchemical modificationschronic myeloid leukemiadelivery systemsRNA interferencesiRNA

Identifiers

PMID41074642
PMCPMC12674438

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.