Evidence map›Paper›PMID 25077564›Full record

ArticleBMC genomics2014

Characterization of a genetic mouse model of lung cancer: a promise to identify Non-Small Cell Lung Cancer therapeutic targets and biomarkers.

Federica Riccardo, Maddalena Arigoni, Genny Buson, Elisa Zago, Manuela Iezzi, Dario Longo, Matteo Carrara, Alessandra Fiore, Simona Nuzzo, Silvio Bicciato and 5 more

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 13% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 42 citations in OpenAlex.

  1. Pooled it
  2. Association Between Oral Microbiota and Gastrointestinal/Extra-Gastrointestinal Diseases.The Korean journal of helicobacter and upper gastrointestinal research · 2024
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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

15 authors at 6 institutions in 1 country.

Federica Riccardo
Maddalena Arigoni
Genny Buson
Elisa Zago
Manuela Iezzi
Dario Longo
Matteo Carrara
Alessandra Fiore
Simona Nuzzo
Silvio Bicciato
Patrizia Nanni
Lorena Landuzzi
Federica Cavallo
Raffaele Calogero
Elena Quaglino
University of Turin · ITUniversity of Modena and Reggio Emilia · ITUniversity of Verona · ITIstituto Ortopedico Rizzoli · ITUniversity of Bologna · ITUniversity of Chieti-Pescara · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNon-small cell lung cancer (NSCLC) accounts for 81% of all cases of lung cancer and they are often fatal because 60% of the patients are diagnosed at an advanced stage. Besides the need for earlier diagnosis, there is a high need for additional effective therapies. In this work, we investigated the feasibility of a lung cancer progression mouse model, mimicking features of human aggressive NSCLC, as biological reservoir for potential therapeutic targets and biomarkers.

resultsWe performed RNA-seq profiling on total RNA extracted from lungs of a 30 week-old K-ras(LA1)/p53(R172HΔg) and wild type (WT) mice to detect fusion genes and gene/exon-level differential expression associated to the increase of tumor mass. Fusion events were not detected in K-ras(LA1)/p53(R172HΔg) tumors. Differential expression at exon-level detected 33 genes with differential exon usage. Among them nine, i.e. those secreted or expressed on the plasma membrane, were used for a meta-analysis of more than 500 NSCLC RNA-seq transcriptomes. None of the genes showed a significant correlation between exon-level expression and disease prognosis. Differential expression at gene-level allowed the identification of 1513 genes with a significant increase in expression associated to tumor mass increase. 74 genes, i.e. those secreted or expressed on the plasma membrane, were used for a meta-analysis of two transcriptomics datasets of human NSCLC samples, encompassing more than 900 samples. SPP1 was the only molecule whose over-expression resulted statistically related to poor outcome regarding both survival and metastasis formation. Two other molecules showed over-expression associated to poor outcome due to metastasis formation: GM-CSF and ADORA3. GM-CSF is a secreted protein, and we confirmed its expression in the supernatant of a cell line derived by a K-ras(LA1)/p53(R172HΔg) mouse tumor. ADORA3 is instead involved in the induction of p53-mediated apoptosis in lung cancer cell lines. Since in our model p53 is inactivated, ADORA3 does not negatively affect tumor growth but remains expressed on tumor cells. Thus, it could represent an interesting target for the development of antibody-targeted therapy on a subset of NSCLC, which are p53 null and ADORA3 positive.

conclusionsOur study provided a complete transcription overview of the K-ras(LA1)/p53(R172HΔg) mouse NSCLC model. This approach allowed the detection of ADORA3 as a potential target for antibody-based therapy in p53 mutated tumors.

Indexed as

AnimalsBiomarkers, TumorCarcinoma, Non-Small-Cell LungCell Line, TumorDisease Models, AnimalFemaleGene Expression ProfilingGenes, p53Genes, rasGranulocyte-Macrophage Colony-Stimulating FactorHumansLung NeoplasmsMagnetic Resonance ImagingMaleMiceMice, KnockoutBiomarkers, TumorGranulocyte-Macrophage Colony-Stimulating FactorOsteopontinSPP1 protein, human

Identifiers

PMID25077564
PMCPMC4083401
OpenAlexW2143367532

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.