Evidence map›Paper›PMID 24238219›Full record

SynthesisMolecular cancer2013

Expression analysis and in silico characterization of intronic long noncoding RNAs in renal cell carcinoma: emerging functional associations.

Angela A Fachel, Ana C Tahira, Santiago A Vilella-Arias, Vinicius Maracaja-Coutinho, Etel R P Gimba, Giselle M Vignal, Franz S Campos, Eduardo M Reis, Sergio Verjovski-Almeida

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in Molecular cancer, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 1 pooled it
3.1field-weighted citation impact, top 8% 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

45 citing papers in PubMed, 1 synthesis or guideline pooled it, 66 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

9 authors at 3 institutions in 1 country.

Angela A Fachel
Ana C Tahira
Santiago A Vilella-Arias
Vinicius Maracaja-Coutinho
Etel R P Gimba
Giselle M Vignal
Franz S Campos
Eduardo M Reis
Sergio Verjovski-AlmeidaDepartamento de Bioquímica, Instituto de Química, Universidade de São Paulo, 05508-900 São Paulo, SP, Brazil. verjo@iq.usp.br.
Universidade de São Paulo · BRInstituto Nacional de Tecnologia · BRUniversidade Federal Fluminense · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIntronic and intergenic long noncoding RNAs (lncRNAs) are emerging gene expression regulators. The molecular pathogenesis of renal cell carcinoma (RCC) is still poorly understood, and in particular, limited studies are available for intronic lncRNAs expressed in RCC.

methodsMicroarray experiments were performed with custom-designed arrays enriched with probes for lncRNAs mapping to intronic genomic regions. Samples from 18 primary RCC tumors and 11 nontumor adjacent matched tissues were analyzed. Meta-analyses were performed with microarray expression data from three additional human tissues (normal liver, prostate tumor and kidney nontumor samples), and with large-scale public data for epigenetic regulatory marks and for evolutionarily conserved sequences.

resultsA signature of 29 intronic lncRNAs differentially expressed between RCC and nontumor samples was obtained (false discovery rate (FDR) < 5%). A signature of 26 intronic lncRNAs significantly correlated with the RCC five-year patient survival outcome was identified (FDR < 5%, p-value ≤ 0.01). We identified 4303 intronic antisense lncRNAs expressed in RCC, of which 22% were significantly (p < 0.05) cis correlated with the expression of the mRNA in the same locus across RCC and three other human tissues. Gene Ontology (GO) analysis of those loci pointed to 'regulation of biological processes' as the main enriched category. A module map analysis of the protein-coding genes significantly (p < 0.05) trans correlated with the 20% most abundant lncRNAs, identified 51 enriched GO terms (p < 0.05). We determined that 60% of the expressed lncRNAs are evolutionarily conserved. At the genomic loci containing the intronic RCC-expressed lncRNAs, a strong association (p < 0.001) was found between their transcription start sites and genomic marks such as CpG islands, RNA Pol II binding and histones methylation and acetylation.

conclusionIntronic antisense lncRNAs are widely expressed in RCC tumors. Some of them are significantly altered in RCC in comparison with nontumor samples. The majority of these lncRNAs is evolutionarily conserved and possibly modulated by epigenetic modifications. Our data suggest that these RCC lncRNAs may contribute to the complex network of regulatory RNAs playing a role in renal cell malignant transformation.

Indexed as

TranscriptomeBase SequenceCarcinoma, Renal CellComputer SimulationHumansIntronsKidney NeoplasmsMolecular Sequence AnnotationMolecular Sequence DataOpen Reading FramesOrgan SpecificityRNA, Long NoncodingRNA, Long Noncoding

Identifiers

PMID24238219
PMCPMC3834536
OpenAlexW2161037182

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.