Evidence map›Paper›PMID 24351843›Full record

ReviewInternational journal of molecular sciences2013

Multidrug resistance and cancer stem cells in neuroblastoma and hepatoblastoma.

Anna Alisi, William C Cho, Franco Locatelli, Doriana Fruci

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed, 1 pooled it
3.9field-weighted citation impact, top 6% 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, 1 synthesis or guideline pooled it, 101 citations in OpenAlex.

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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

4 authors at 2 institutions in 2 countries.

Anna AlisiLiver Research Unit, "Bambino Gesù" Children's Hospital, IRCCS, Rome 00165, Italy. anna.alisi@opbg.net.
William C Cho
Franco Locatelli
Doriana FruciLiver Research Unit, "Bambino Gesù" Children's Hospital, IRCCS, Rome 00165, Italy. doriana.fruci@opbg.net.
Bambino Gesù Children's Hospital · ITQueen Elizabeth Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chemotherapy is one of the major modalities in treating cancers. However, its effectiveness is limited by the acquisition of multidrug resistance (MDR). Several mechanisms could explain the up-regulation of MDR genes/proteins in cancer after chemotherapy. It is known that cancer stem cells (CSCs) play a role as master regulators. Therefore, understanding the mechanisms that regulate some traits of CSCs may help design efficient strategies to overcome chemoresistance. Different CSC phenotypes have been identified, including those found in some pediatric malignancies. As solid tumors in children significantly differ from those observed in adults, this review aims at providing an overview of the mechanistic relationship between MDR and CSCs in common solid tumors, and, in particular, focuses on clinical as well as experimental evidence of the relations between CSCs and MDR in neuroblastoma and hepatoblastoma. Finally, some novel approaches, such as concomitant targeting of multiple key transcription factors governing the stemness of CSCs, as well as nanoparticle-based approaches will also be briefly addressed.

Indexed as

Drug Resistance, NeoplasmAC133 AntigenAnimalsAntigens, CDAntineoplastic AgentsATP-Binding Cassette TransportersGlycoproteinsHepatoblastomaHumansLiver NeoplasmsNeoplastic Stem CellsNeuroblastomaPeptidesAC133 AntigenAntigens, CDAntineoplastic AgentsATP-Binding Cassette TransportersGlycoproteinsPeptides

Identifiers

PMID24351843
PMCPMC3876137
OpenAlexW2057614115

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.