Evidence map›Paper›PMID 15719029›Full record

ArticleCancer gene therapy2005

RNAi technology and lentiviral delivery as a powerful tool to suppress Tpr-Met-mediated tumorigenesis.

Riccardo Taulli, Paolo Accornero, Antonia Follenzi, Tony Mangano, Alessandro Morotti, Claudio Scuoppo, Paolo E Forni, Francesca Bersani, Tiziana Crepaldi, Roberto Chiarle and 2 more

Abstract read
PubMed Publisher
In one paragraph

Article in Cancer gene therapy, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

17 citing papers in PubMed, 34 citations in OpenAlex.

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  10. Triggered release of siRNA from poly(ethylene glycol)-protected, pH-dependent liposomes.Journal of controlled release : official journal of the Controlled Release Society · 2008
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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

12 authors at 2 institutions in 2 countries.

Riccardo TaulliCenter for Experimental Research and Medical Studies (CERMS), Molinette Hospital, Turin, Italy.
Paolo Accornero
Antonia Follenzi
Tony Mangano
Alessandro Morotti
Claudio Scuoppo
Paolo E Forni
Francesca Bersani
Tiziana Crepaldi
Roberto Chiarle
Luigi Naldini
Carola Ponzetto
Fondazione Ricerca Molinette · ITUniversity of Turin · IT

Funding

Telethon TGT03D01Telethon TGT06S01
6 · The paper itself

Abstract

Tpr-Met, the oncogenic counterpart of the Met receptor, has been detected in gastric cancers, as well as in precursor lesions and in the adjacent normal gastric mucosa. This has prompted the suggestion that Tpr-Met may predispose to the development of gastric tumors. Given the sequence specificity of RNA interference, oncogenes activated by point mutation or rearrangements can be targeted while spearing the product of the wild-type allele. In this work, we report specific suppression of Tpr-Met expression and inhibition of Tpr-Met-mediated transformation and tumorigenesis by means of a short interfering RNA (siRNA) directed toward the Tpr-Met junction (anti-TM2). When delivered by a lentiviral vector, anti-TM2 siRNA was effective also in mouse embryonal fibroblasts or epithelial cells expressing high levels of Tpr-Met. Our results suggest that lentiviral-mediated delivery of anti-TM2 siRNA may be developed into a powerful tool to treat Tpr-Met-positive cancers.

Indexed as

RNA InterferenceAnimalsCell Line, TumorCell ProliferationDown-RegulationGene Expression RegulationGenetic TherapyGenetic VectorsHumansLentivirusMiceNeoplasms, ExperimentalOncogene Proteins, FusionRNA, Small InterferingTransduction, GeneticOncogene Proteins, FusionRNA, Small Interfering

Identifiers

PMID15719029
OpenAlexW1994643099

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.