Evidence map›Paper›PMID 23314173›Full record

ArticleNature methods2013

Lentiviral vector-based insertional mutagenesis identifies genes associated with liver cancer.

Marco Ranzani, Daniela Cesana, Cynthia C Bartholomae, Francesca Sanvito, Mauro Pala, Fabrizio Benedicenti, Pierangela Gallina, Lucia Sergi Sergi, Stefania Merella, Alessandro Bulfone and 7 more

Open access · greenAbstract read
In one paragraph

Article in Nature methods, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed
7.2field-weighted citation impact, top 3% 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

65 citing papers in PubMed, 100 citations in OpenAlex.

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  20. Recombinant Adeno-Associated Viral Vector-Mediated Gene Transfer ofInternational journal of molecular sciences · 2022
    Article

5 more citing papers are in PubMed but not listed here.

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

17 authors at 5 institutions in 3 countries.

Marco RanzaniSan Raffaele-Telethon Institute for Gene Therapy, San Raffaele Scientific Institute, Milan, Italy.
Daniela Cesana
Cynthia C Bartholomae
Francesca Sanvito
Mauro Pala
Fabrizio Benedicenti
Pierangela Gallina
Lucia Sergi Sergi
Stefania Merella
Alessandro Bulfone
Claudio Doglioni
Christof von Kalle
Yoon Jun Kim
Manfred Schmidt
Giovanni Tonon
Luigi Naldini
Eugenio Montini
The San Raffaele Telethon Institute for Gene Therapy · ITNational Center for Tumor Diseases · DESan Raffaele University of Rome · ITSeoul National University · KRVita-Salute San Raffaele University · IT

Funding

Telethon TGT11D01Worldwide Cancer Research 09-0784
6 · The paper itself

Abstract

Transposons and γ-retroviruses have been efficiently used as insertional mutagens in different tissues to identify molecular culprits of cancer. However, these systems are characterized by recurring integrations that accumulate in tumor cells and that hamper the identification of early cancer-driving events among bystander and progression-related events. We developed an insertional mutagenesis platform based on lentiviral vectors (LVVs) by which we could efficiently induce hepatocellular carcinoma (HCC) in three different mouse models. By virtue of the LVV's replication-deficient nature and broad genome-wide integration pattern, LVV-based insertional mutagenesis allowed identification of four previously unknown liver cancer-associated genes from a limited number of integrations. We validated the oncogenic potential of all the identified genes in vivo, with different levels of penetrance. The newly identified genes are likely to play a role in human cancer because they are upregulated, amplified and/or deleted in human HCCs and can predict clinical outcomes of patients.

Indexed as

Mutagenesis, InsertionalOncogenesAnimalsCarcinoma, HepatocellularCyclin-Dependent Kinase Inhibitor p16Genetic VectorsHumansLentivirusLiver NeoplasmsMicePrealbuminPTEN PhosphohydrolaseReceptor, Interferon alpha-betaCdkn2a protein, mouseCyclin-Dependent Kinase Inhibitor p16Ifnar1 protein, mousePrealbuminPTEN PhosphohydrolasePten protein, mouseReceptor, Interferon alpha-beta

Identifiers

PMID23314173
PMCPMC3589714
OpenAlexW1995979918

What OpenQuestion holds

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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.