Evidence map›Paper›PMID 37980331›Full record

ArticleCell death & disease2023

The long non-coding RNA TAZ-AS202 promotes lung cancer progression via regulation of the E2F1 transcription factor and activation of Ephrin signaling.

Giulia Gobbi, Alessandra Grieco, Federica Torricelli, Elisabetta Sauta, Giacomo Santandrea, Eleonora Zanetti, Valentina Fantini, Francesca Reggiani, Silvia Strocchi, Massimiliano Paci and 5 more

Open access · goldAbstract read
In one paragraph

Article in Cell death & disease, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.9field-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

5 citing papers in PubMed, 8 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

15 authors at 4 institutions in 2 countries.

Giulia GobbiLaboratory of Translational Research, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy.
Alessandra GriecoLaboratory of Translational Research, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy.ORCID 0009-0008-0531-4988
Federica TorricelliLaboratory of Translational Research, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy.
Elisabetta SautaIRCCS Humanitas Clinical and Research Center, Milan, Italy.
Giacomo SantandreaPathology Unit, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy.
Eleonora ZanettiPathology Unit, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy.
Valentina FantiniLaboratory of Translational Research, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy.ORCID 0000-0003-1244-4453
Francesca ReggianiLaboratory of Translational Research, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy.ORCID 0000-0002-4090-8908
Silvia StrocchiLaboratory of Translational Research, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy.
Massimiliano PaciThoracic Surgery Unit, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy.
Manik VohraDepartment of Otolaryngology, Head and Neck Surgery, Massachusetts Eye and Ear Infirmary, Boston, USA.
Srinivas Vinod SaladiDepartment of Otolaryngology, Head and Neck Surgery, Massachusetts Eye and Ear Infirmary, Boston, USA.
Davide Carlo AmbrosettiDepartment of Pharmacy and Biotechnologies (FaBit), University of Bologna, Bologna, Italy.
Alessia CiarrocchiLaboratory of Translational Research, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy.ORCID 0000-0002-5541-2075
Valentina SancisiLaboratory of Translational Research, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy. valentina.sancisi@ausl.re.it.ORCID 0000-0003-4357-1228
Azienda Sanitaria Unità Locale di Reggio Emilia · ITBroad Institute · USHumanitas University · ITUniversity of Bologna · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Long non-coding RNAs (lncRNAs) are transcripts without coding potential that are pervasively expressed from the genome and have been increasingly reported to play crucial roles in all aspects of cell biology. They have been also heavily implicated in cancer development and progression, with both oncogenic and tumor suppressor functions. In this work, we identified and characterized a novel lncRNA, TAZ-AS202, expressed from the TAZ genomic locus and exerting pro-oncogenic functions in non-small cell lung cancer. TAZ-AS202 expression is under the control of YAP/TAZ-containing transcriptional complexes. We demonstrated that TAZ-AS202 is overexpressed in lung cancer tissue, compared with surrounding lung epithelium. In lung cancer cell lines TAZ-AS202 promotes cell migration and cell invasion. TAZ-AS202 regulates the expression of a set of genes belonging to cancer-associated pathways, including WNT and EPH-Ephrin signaling. The molecular mechanism underlying TAZ-AS202 function does not involve change of TAZ expression or activity, but increases the protein level of the transcription factor E2F1, which in turn regulates the expression of a large set of target genes, including the EPHB2 receptor. Notably, the silencing of both E2F1 and EPHB2 recapitulates TAZ-AS202 silencing cellular phenotype, indicating that they are essential mediators of its activity. Overall, this work unveiled a new regulatory mechanism that, by increasing E2F1 protein, modifies the non-small cell lung cancer cells transcriptional program, leading to enhanced aggressiveness features. The TAZ-AS202/E2F1/EPHB2 axis may be the target for new therapeutic strategies.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsRNA, Long NoncodingCell Line, TumorE2F1 Transcription FactorEphrinsGene Expression Regulation, NeoplasticHumansLungE2F1 protein, humanE2F1 Transcription FactorEphrinsRNA, Long Noncoding

Identifiers

PMID37980331
PMCPMC10657417
OpenAlexW4388797858

What OpenQuestion holds

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Registered trials

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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.