Evidence map›Paper›PMID 19620782›Full record

ArticleThe Journal of clinical investigation2009

MicroRNA reexpression as differentiation therapy in cancer.

Prasun J Mishra, Glenn Merlino

Open access · bronzeAbstract readComment
In one paragraph

Article in The Journal of clinical investigation, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

58 citing papers in PubMed, 105 citations in OpenAlex.

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  7. Next generation miRNA inhibition using short anti-seed PNAs encapsulated in PLGA nanoparticles.Journal of controlled release : official journal of the Controlled Release Society · 2020
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  10. Iranian journal of pharmaceutical research : IJPR · 2020
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Prasun J MishraLaboratory of Cancer Biology and Genetics, National Cancer Institute, NIH, Bethesda, Maryland 20892-4264, USA.
Glenn Merlino
National Cancer Institute · US

Funding

Genetically Engineered Mouse Models to Study RTK Function in MelanomaZIABC008756 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI MERLINO, GLENN T. · 2009 to 2024
$17.7M
Preclinical Mouse Models for Studying Immune Checkpoint Inhibitor ResponseZIABC011167 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI MERLINO, GLENN T. · 2009 to 2024
$12.4M
6 · The paper itself

Abstract

Since their discovery in the early 2000s, microRNAs (miRNAs) and their penchant for RNA interference have taken the scientific community by storm, working their way into virtually every corner of biological inquiry. The very nature of their action, the ability to simultaneously extinguish the expression of a multitude of genes and negate their functions, immediately suggested therapeutic promise. In this issue of the JCI, a step toward the realization of this promise is described. Taulli et al. demonstrate that the miRNAs miR-1/miR-206, which are routinely lost in advanced, poorly differentiated rhabdomyosarcoma (RMS) but characteristically expressed in the mature skeletal muscle from which these tumors arise, restore the myogenic differentiation program and block the tumorigenic phenotype (see the related article beginning on page 2366). Their data support the notion that these small RNAs, effectively functioning as "micro-sheriffs" by restoring myogenic law and order, hold substantial clinical potential as differentiation therapy for RMS and perhaps other solid tumors. miRNA reexpression therapy constitutes a novel approach to handcuff oncogenes and arrest tumor development.

Indexed as

Cell DifferentiationAnimalsHumansMiceMicroRNAsMuscle, SkeletalNeoplasmsOrgan SpecificityProto-Oncogene Proteins c-metRhabdomyosarcomaMicroRNAsProto-Oncogene Proteins c-met

Identifiers

PMID19620782
PMCPMC2719926
OpenAlexW2059531433

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.