Evidence map›Paper›PMID 35246124›Full record

ArticleBMC medical genomics2022

Acceleration of the DNA methylation clock among lynch syndrome-associated mutation carriers.

Marta Cuadros, Carlos Cano, Sonia Garcia-Rodriguez, José Luis Martín, Antonio Poyatos-Andujar, Francisco Ruiz-Cabello, Susana Pedrinaci, Gema Durán, Manuel Benavides, María Dolores Bautista-Ojeda and 6 more

Open access · goldAbstract read
In one paragraph

Article in BMC medical genomics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 60% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Article
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

16 authors at 7 institutions in 1 country.

Marta CuadrosDepartment of Biochemistry and Molecular Biology III and Immunology, Faculty of Medicine, University of Granada, Av. de la Investigación 11, 18007, Granada, Spain. mcuadros@ugr.es.
Carlos CanoDepartment of Computer Science and Artificial Intelligence, University of Granada, Granada, Spain. ccano@decsai.ugr.es.
Sonia Garcia-RodriguezDepartment of Computer Science and Artificial Intelligence, University of Granada, Granada, Spain. garciarodriguez.sonia@gmail.com.
José Luis MartínHospital Universitario San Cecilio, Granada, Spain.
Antonio Poyatos-AndujarHospital Universitario San Cecilio, Granada, Spain.
Francisco Ruiz-CabelloHospital Virgen de Las Nieves, Granada, Spain.
Susana PedrinaciHospital Virgen de Las Nieves, Granada, Spain.
Gema DuránHospital Regional Universitario Carlos Haya, Málaga, Spain.
Manuel BenavidesHospital Regional Universitario Carlos Haya, Málaga, Spain.
María Dolores Bautista-OjedaHospital Costa del Sol, Marbella, Spain.
Teresa PeredaHospital Costa del Sol, Marbella, Spain.
Maria Soledad Benitez-CantosDepartment of Biochemistry and Molecular Biology III and Immunology, Faculty of Medicine, University of Granada, Av. de la Investigación 11, 18007, Granada, Spain.
Pedro MedinaGENYO, Centre for Genomics and Oncological Research, Pfizer/University of Granada/Andalusian Regional Government, Av. de la Ilustración 114, 18007, Granada, Spain.
Armando BlancoDepartment of Computer Science and Artificial Intelligence, University of Granada, Granada, Spain.
Antonio GonzalezInstituto de Parasitología y Biomedicina LopezNeyra - CSIC, Granada, Spain.
Paul LizardiGENYO, Centre for Genomics and Oncological Research, Pfizer/University of Granada/Andalusian Regional Government, Av. de la Ilustración 114, 18007, Granada, Spain.
Universidad de Granada · ESHospital Costa del Sol · ESHospital Regional Universitario de Málaga · ESHospital Universitario Virgen de las Nieves · ESInstituto de Investigación Biosanitaria de Granada · ESInstituto de Parasitología y Biomedicina "López - Neyra" · ESPfizer-University of Granada-Junta de Andalucía Centre for Genomics and Oncological Research · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDNA methylation (DNAm) age metrics have been widely accepted as an epigenetic biomarker for biological aging and disease. The purpose of this study is to assess whether or not individuals carrying Lynch Syndrome-associated mutations are affected in their rate of biological aging, as measured by the epigenetic clock.

methodsGenome-wide bisulfite DNA sequencing data were generated using DNA from CD4 + T-cells obtained from peripheral blood using 27 patient samples from Lynch syndrome families. Horvath's DNAm age model based on penalized linear regression was applied to estimate DNAm age from patient samples with distinct clinical and genetic characteristics to investigate cancer mutation-related aging effects.

resultsBoth Lynch mutation carriers and controls exhibited high variability in their estimated DNAm age, but regression analysis showed steeper slope for the Lynch mutation carriers. Remarkably, six Lynch Syndrome-associated mutation carriers showed a strong correlation to the control group, and two sisters carrying Lynch Syndrome-associated mutations, with no significant difference in lifestyle and similar chronological age, were assigned very different DNAm age.

conclusionsFuture studies will be required to explore, in larger patient populations, whether specific epigenetic age acceleration is predictive of time-to-cancer development, treatment response, and survival. Epigenetic clock DNAm metrics may be affected by the presence of cancer mutations in the germline, and thus show promise of potential clinical utility for stratified surveillance strategies based on the relative risk for imminent emergence of tumor lesions in otherwise healthy Lynch Syndrome-associated mutation carriers.

Indexed as

Colorectal Neoplasms, Hereditary NonpolyposisDNA MethylationAccelerationAgingEpigenesis, GeneticHumansMutationDNA methylationEpigenetic clockLynch syndrome

Identifiers

PMID35246124
PMCPMC8895826
OpenAlexW4214870171

What OpenQuestion holds

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LicenceCC BY
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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.