Evidence map›Paper›PMID 28405244›Full record

ArticleClinical epigenetics2017

Clusterization in head and neck squamous carcinomas based on lncRNA expression: molecular and clinical correlates.

Pelayo G de Lena, Abel Paz-Gallardo, Jesús M Paramio, Ramón García-Escudero

Abstract read
In one paragraph

Article in Clinical epigenetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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.

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  9. Systematic profiling of alternative splicing inCancer cell international · 2020
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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

4 authors.

Pelayo G de LenaMolecular Oncology Unit, CIEMAT, Ave Complutense 40 (ed70A), 28040 Madrid, Spain.
Abel Paz-GallardoCETA-CIEMAT, Trujillo, 10200 Cáceres, Spain.
Jesús M ParamioMolecular Oncology Unit, CIEMAT, Ave Complutense 40 (ed70A), 28040 Madrid, Spain.
Ramón García-EscuderoMolecular Oncology Unit, CIEMAT, Ave Complutense 40 (ed70A), 28040 Madrid, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLong non-coding RNAs (lncRNAs) have emerged as key players in a remarkably variety of biological processes and pathologic conditions, including cancer. Next-generation sequencing technologies and bioinformatics procedures predict the existence of tens of thousands of lncRNAs, from which we know the functions of only a handful of them, and very little is known in cancer types such as head and neck squamous cell carcinomas (HNSCCs).

resultsHere, we use RNAseq expression data from The Cancer Genome Atlas (TCGA) and various statistic and software tools in order to get insight about the lncRNome in HNSCC. Based on lncRNA expression across 426 samples, we discover five distinct tumor clusters that we compare with reported clusters based on various genomic/genetic features. Results demonstrate significant associations between lncRNA-based clustering and DNA methylation, TP53 mutation, and human papillomavirus infection. Using "guilt-by-association" procedures, we infer the possible biological functions of representative lncRNAs of each cluster. Furthermore, we found that lncRNA clustering is correlated with some important clinical and pathologic features, including patient survival after treatment, tumor grade, or sub-anatomical location.

conclusionsWe present a landscape of lncRNAs in HNSCC and provide associations with important genotypic and phenotypic features that may help to understand the disease.

Indexed as

Gene Regulatory NetworksAgedCarcinoma, Squamous CellCluster AnalysisComputational BiologyDNA MethylationFemaleGene Expression Regulation, NeoplasticHead and Neck NeoplasmsHigh-Throughput Nucleotide SequencingHumansMaleMiddle AgedRNA, Long NoncodingSequence Analysis, RNASquamous Cell Carcinoma of Head and NeckRNA, Long NoncodingTP53 protein, humanTumor Suppressor Protein p53ClusterGenomicsHead and neck squamous cell carcinomalncRNA

Identifiers

PMID28405244
PMCPMC5385094

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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.