Evidence map›Paper›PMID 32731343›Full record

ArticleCancers2020

LncRNA DLG2-AS1 as a Novel Biomarker in Lung Adenocarcinoma.

Alberto M Arenas, Marta Cuadros, Alvaro Andrades, Daniel J García, Isabel F Coira, María Isabel Rodríguez, Carlos Baliñas-Gavira, Paola Peinado, Juan Carlos Álvarez-Pérez, Pedro P Medina

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.8field-weighted citation impact, top 34% 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

11 citing papers in PubMed, 11 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

10 authors at 1 institution in 1 country.

Alberto M ArenasDepartment of Biochemistry and Molecular Biology I, Faculty of Sciences, University of Granada, Av. de Fuente Nueva s/n, 18071 Granada, Spain.ORCID 0000-0002-5995-2968
Marta CuadrosGENYO, Centre for Genomics and Oncological Research, Pfizer/University of Granada/Andalusian Regional Government, Av. de la Ilustración 114, 18007 Granada, Spain.
Alvaro AndradesDepartment of Biochemistry and Molecular Biology I, Faculty of Sciences, University of Granada, Av. de Fuente Nueva s/n, 18071 Granada, Spain.ORCID 0000-0001-9042-8964
Daniel J GarcíaGENYO, Centre for Genomics and Oncological Research, Pfizer/University of Granada/Andalusian Regional Government, Av. de la Ilustración 114, 18007 Granada, Spain.ORCID 0000-0001-5611-534X
Isabel F CoiraDepartment of Biochemistry and Molecular Biology I, Faculty of Sciences, University of Granada, Av. de Fuente Nueva s/n, 18071 Granada, Spain.ORCID 0000-0003-3368-4691
María Isabel RodríguezGENYO, Centre for Genomics and Oncological Research, Pfizer/University of Granada/Andalusian Regional Government, Av. de la Ilustración 114, 18007 Granada, Spain.ORCID 0000-0002-2270-0070
Carlos Baliñas-GaviraDepartment of Biochemistry and Molecular Biology I, Faculty of Sciences, University of Granada, Av. de Fuente Nueva s/n, 18071 Granada, Spain.
Paola PeinadoDepartment of Biochemistry and Molecular Biology I, Faculty of Sciences, University of Granada, Av. de Fuente Nueva s/n, 18071 Granada, Spain.
Juan Carlos Álvarez-PérezDepartment of Biochemistry and Molecular Biology I, Faculty of Sciences, University of Granada, Av. de Fuente Nueva s/n, 18071 Granada, Spain.ORCID 0000-0001-6396-311X
Pedro P MedinaDepartment of Biochemistry and Molecular Biology I, Faculty of Sciences, University of Granada, Av. de Fuente Nueva s/n, 18071 Granada, Spain.ORCID 0000-0002-7834-7093
Universidad de Granada · ES

Funding

Consejería de Salud de la Junta de Andalucía Pl-0245-2017, CS2016-3Fundación Científica Asociación Española Contra el Cáncer LabAECC2018La Caixa Fundation LCF/BQ/DE15/10360019Marie Sklodowska Curie Actions H2020-MSCA-IF-2018, 837897Ministerio de Economía, Industria y Competitividad, Gobierno de España BES-2013-064596Ministerio de Economía, Industria y Competitividad, Gobierno de España SAF2015-67919-RMinisterio de Educación, Cultura y Deporte FPU17/00067Ministerio de Educación, Cultura y Deporte FPU17/01258
6 · The paper itself

Abstract

Long non-coding RNAs (lncRNAs) are a heterogeneous class of non-coding RNAs whose biological roles are still poorly understood. LncRNAs serve as gene expression regulators, frequently interacting with epigenetic factors to shape the outcomes of crucial biological processes, and playing roles in different pathologies including cancer. Over the last years, growing scientific evidence supports the key role of some lncRNAs in tumor development and proposes them as valuable biomarkers for the clinic. In this study, we aimed to characterize lncRNAs whose expression is altered in tumor samples from patients with lung adenocarcinoma (LUAD) compared to adjacent normal tissue samples. On an RT-qPCR survey of 90 cancer-related lncRNAs, we found one lncRNA, DLG2-AS1, which was consistently downregulated in 70 LUAD patients. To gain insight into its biological function, DLG2-AS1 was cloned and successfully re-expressed in LUAD cancer cell lines. We determined that DLG2-AS1 is not a cis-regulatory element of its overlapping gene DLG2, as their transcription levels were not correlated, nor did DLG2-AS1 restoration modify the expression of DLG2 protein. Furthermore, after generating a receiver operating curve (ROC) and calculating the area under curve (AUC), we found that DLG2-AS1 expression showed high sensitivity and specificity (AUC = 0.726) for the classification of LUAD and normal samples, determining its value as a potential lung cancer biomarker.

Indexed as

adenocarcinoma of lungbiomarkerslong noncodingRNAtumor

Identifiers

PMID32731343
PMCPMC7463504
OpenAlexW3043919815

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.