Evidence map›Paper›PMID 26859682›Full record

ArticleOncotarget2016

Quantification of unmethylated Alu (QUAlu): a tool to assess global hypomethylation in routine clinical samples.

Raquel Buj, Izaskun Mallona, Anna Díez-Villanueva, Víctor Barrera, Dídac Mauricio, Manel Puig-Domingo, Jordi L Reverter, Xavier Matias-Guiu, Daniel Azuara, Jose L Ramírez and 7 more

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 22% 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, 1 synthesis or guideline pooled it, 19 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

17 authors at 6 institutions in 1 country.

Raquel BujInstitute of Predictive and Personalized Medicine of Cancer (IMPPC), Badalona, Barcelona, Spain.
Izaskun MallonaInstitute of Predictive and Personalized Medicine of Cancer (IMPPC), Badalona, Barcelona, Spain.
Anna Díez-VillanuevaInstitute of Predictive and Personalized Medicine of Cancer (IMPPC), Badalona, Barcelona, Spain.
Víctor BarreraInstitute of Predictive and Personalized Medicine of Cancer (IMPPC), Badalona, Barcelona, Spain.
Dídac MauricioGermans Trias i Pujol Health Sciences Research Institute (IGTP), Badalona, Barcelona, Spain.
Manel Puig-DomingoGermans Trias i Pujol Health Sciences Research Institute (IGTP), Badalona, Barcelona, Spain.
Jordi L ReverterGermans Trias i Pujol Health Sciences Research Institute (IGTP), Badalona, Barcelona, Spain.
Xavier Matias-GuiuDepartment of Pathology and Molecular Genetics, University Hospital Arnau de Vilanova and University of Lleida, Biomedical Research Institute of Lleida (IRBLLEIDA), Lleida, Spain.
Daniel AzuaraCatalan Institute of Oncology (ICO-IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain.
Jose L RamírezGermans Trias i Pujol Health Sciences Research Institute (IGTP), Badalona, Barcelona, Spain.
Sergio AlonsoInstitute of Predictive and Personalized Medicine of Cancer (IMPPC), Badalona, Barcelona, Spain.
Rafael RosellGermans Trias i Pujol Health Sciences Research Institute (IGTP), Badalona, Barcelona, Spain.
Gabriel CapellàCatalan Institute of Oncology (ICO-IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain.
Manuel PeruchoInstitute of Predictive and Personalized Medicine of Cancer (IMPPC), Badalona, Barcelona, Spain.
Mercedes RobledoHereditary Endocrine Cancer Group, Spanish National Cancer Research Center (CNIO), Madrid, Spain.
Miguel A PeinadoInstitute of Predictive and Personalized Medicine of Cancer (IMPPC), Badalona, Barcelona, Spain.
Mireia JordàInstitute of Predictive and Personalized Medicine of Cancer (IMPPC), Badalona, Barcelona, Spain.
Institut d'Investigació en Ciències de la Salut Germans Trias i Pujol · ESInstitute of Predictive and Personalized Medicine of Cancer · ESHospital Universitari Germans Trias i Pujol · ESInstitut Català d'Oncologia · ESCentre for Biomedical Network Research on Rare Diseases · ESUniversitat de Lleida · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hypomethylation of DNA is a hallmark of cancer and its analysis as tumor biomarker has been proposed, but its determination in clinical settings is hampered by lack of standardized methodologies. Here, we present QUAlu (Quantification of Unmethylated Alu), a new technique to estimate the Percentage of UnMethylated Alu (PUMA) as a surrogate for global hypomethylation. QUAlu consists in the measurement by qPCR of Alu repeats after digestion of genomic DNA with isoschizomers with differential sensitivity to DNA methylation. QUAlu performance has been evaluated for reproducibility, trueness and specificity, and validated by deep sequencing. As a proof of use, QUAlu has been applied to a broad variety of pathological examination specimens covering five cancer types. Major findings of the preliminary application of QUAlu to clinical samples include: (1) all normal tissues displayed similar PUMA; (2) tumors showed variable PUMA with the highest levels in lung and colon and the lowest in thyroid cancer; (3) stools from colon cancer patients presented higher PUMA than those from control individuals; (4) lung squamous cell carcinomas showed higher PUMA than lung adenocarcinomas, and an increasing hypomethylation trend associated with smoking habits. In conclusion, QUAlu is a simple and robust method to determine Alu hypomethylation in human biospecimens and may be easily implemented in research and clinical settings.

Indexed as

AdenocarcinomaAdenocarcinoma of LungAlu ElementsBiomarkers, TumorCarcinoma, Squamous CellCell Line, TumorColonic NeoplasmsCpG IslandsDNADNA MethylationHCT116 CellsHumansLung NeoplasmsMolecular Diagnostic TechniquesPolymerase Chain ReactionThyroid NeoplasmsBiomarkers, TumorDNAAlu repeatsbiomarkerDNA hypomethylationhuman cancerroutine clinical biospecimens

Identifiers

PMID26859682
PMCPMC4891138
OpenAlexW2292094161

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.