Evidence map›Paper›PMID 28423572›Full record

ArticleOncotarget2017

Acceleration of leukocytes' epigenetic age as an early tumor and sex-specific marker of breast and colorectal cancer.

Danielle Fernandes Durso, Maria Giulia Bacalini, Claudia Sala, Chiara Pirazzini, Elena Marasco, Massimiliano Bonafé, Ítalo Faria do Valle, Davide Gentilini, Gastone Castellani, Ana Maria Caetano Faria and 3 more

Abstract read
In one paragraph

Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
67citing papers in PubMed, 5 pooled it
–field-weighted citation impact
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

67 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
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  4. Pooled it
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  6. Trial
  7. Article
  8. Review
  9. Association of Epigenetic Aging Biomarkers With Risk of MASLD-Related HCC.Liver international : official journal of the International Association for the Study of the Liver · 2026
    Article
  10. Article
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  12. Review
  13. A Sex-Specific Minimal CpG-Based Model for Biological Aging UsingInternational journal of molecular sciences · 2025
    Article
  14. Article
  15. Review
  16. Biological Age Acceleration and Colonic Polyps in Persons under Age 50.Cancer prevention research (Philadelphia, Pa.) · 2025
    Article
  17. Article
  18. Review
  19. Article
  20. Article

7 more citing papers are in PubMed but not listed here.

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

13 authors.

Danielle Fernandes DursoDepartment of Experimental, Diagnostic and Specialty Medicine, Alma Mater Studiorum-University of Bologna, Bologna, Italy.
Maria Giulia BacaliniIRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy.
Claudia SalaDepartment of Physics and Astronomy, University of Bologna, Bologna, Italy.
Chiara PirazziniIRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy.
Elena MarascoDepartment of Experimental, Diagnostic and Specialty Medicine, Alma Mater Studiorum-University of Bologna, Bologna, Italy.
Massimiliano BonaféDepartment of Experimental, Diagnostic and Specialty Medicine, Alma Mater Studiorum-University of Bologna, Bologna, Italy.
Ítalo Faria do ValleDepartment of Physics and Astronomy, University of Bologna, Bologna, Italy.
Davide GentiliniIstituto Auxologico Italiano IRCCS, Cusano Milanino, Milan, Italy.
Gastone CastellaniDepartment of Physics and Astronomy, University of Bologna, Bologna, Italy.
Ana Maria Caetano FariaBiochemistry and Immunology Department, Biological Sciences Institute, Federal University of Minas Gerais, Belo Horizonte, Brazil.
Claudio FranceschiIRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy.
Paolo GaragnaniDepartment of Experimental, Diagnostic and Specialty Medicine, Alma Mater Studiorum-University of Bologna, Bologna, Italy.
Christine NardiniPersonal Genomics S.r.l., Verona, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Changes in blood epigenetic age have been associated with several pathological conditions and have recently been described to anticipate cancer development. In this work, we analyze a publicly available leukocytes methylation dataset to evaluate the relation between DNA methylation age and the prospective development of specific types of cancer. We calculated DNA methylation age acceleration using five state-of-the-art estimators (three multi-site: Horvath, Hannum, Weidner; and two CpG specific: ELOV2 and FHL2) in a cohort including 845 subjects from the EPIC-Italy project and we compared 424 samples that remained cancer-free over the approximately ten years of follow-up with 235 and 166 subjects who developed breast and colorectal cancer, respectively. We show that the epigenetic age estimated from blood DNA methylation data is statistically significantly associated to future breast and male colorectal cancer development. These results are corroborated by survival analysis that shows significant association between age acceleration and cancer incidence suggesting that the chance of developing age-related diseases may be predicted by circulating epigenetic markers, with a dependence upon tumor type, sex and age estimator. These are encouraging results towards the non-invasive and perspective usage of epigenetic biomarkers.

Indexed as

Biomarkers, TumorBreast NeoplasmsColorectal NeoplasmsDNA MethylationEpigenomicsFemaleGene ExpressionHumansLeukocytesMaleMiddle AgedSex FactorsBiomarkers, TumorbloodcancerELOVL2epigenetic clockFHL2

Identifiers

PMID28423572
PMCPMC5410300

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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.