Evidence map›Paper›PMID 42363768›Full record

ArticleInternational journal of cancer2026

Epigenetic Markers of Cell Division and Ageing in Relation to Breast Cancer Survival.

Luca Li, Elaheh Zarean, Danmeng Lily Li, Yiyue Zhu, Shuai Li, Enes Makalic, Catriona McLean, Graham G Giles, Roger L Milne, Melissa C Southey and 1 more

Abstract read
In one paragraph

Article in International journal of cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Luca LiPrecision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia.
Elaheh ZareanPrecision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia.
Danmeng Lily LiPrecision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia.
Yiyue ZhuPrecision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia.
Shuai LiPrecision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia.ORCID https://orcid.org/0000-0002-8696-8594
Enes MakalicDepartment of Data Science and AI, Faculty of Information Technology, Monash University, Clayton, Victoria, Australia.
Catriona McLeanAnatomical Pathology, Alfred Health, The Alfred Hospital, Melbourne, Victoria, Australia.
Graham G GilesPrecision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia.
Roger L MilnePrecision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia.
Melissa C SoutheyPrecision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia.
Pierre-Antoine DuguéPrecision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia.ORCID https://orcid.org/0000-0003-2736-3023

Funding

Cancer Council VictoriaMonash University PhD scholarshipNational Health and Medical Research Council (NHMRC) 1011618National Health and Medical Research Council (NHMRC) 1074383National Health and Medical Research Council (NHMRC) 209057National Health and Medical Research Council (NHMRC) 396414NHMRC EL1 Investigator Fellowship GNT2017373NHMRC L3 Investigator Fellowship GNT2017325VicHealthVictoria Cancer Agency Mid-Career Fellowship MCRF22025Wellcome Trust 209057
6 · The paper itself

Abstract

Breast cancer remains a major challenge to public health. Biomarkers may be useful to improve prediction of breast cancer survival. Several epigenetic markers of cell division and ageing based on DNA methylation have been proposed. In this study, we measured these epigenetic markers in breast tumours and assessed their prognostic value. We used genome-wide DNA methylation data measured in 1992 breast cancer tumours from the Melbourne Collaborative Cohort Study and publicly available datasets. We calculated four markers of cell division (epiTOC2, stemTOC, MiAge and CellDRIFT), two markers of chronological age (Horvath age and BTEC), and four markers of biological age (PhenoAge, GrimAge, MRscore and DunedinPACE). Cox regression models were used to assess the associations of age-adjusted epigenetic markers with 5-year overall survival, with adjustment for clinical variables. Effect modification by estrogen receptor (ER) status and molecular subtype was also investigated. After adjustment for age and stratification by study, higher levels of cell division markers were associated with poorer survival (e.g., epiTOC2: per one-standard-deviation increase, hazard ratio [HR] = 1.14, 95% CI: 1.03-1.27), whereas higher chronological age markers were linked to better prognosis (e.g., Horvath age: HR = 0.70, 95% CI: 0.61-0.82). Epigenetic markers of biological age showed variable associations. These associations were partly explained by the main clinicopathological variables at diagnosis and varied across subtypes. Our study revealed associations of several epigenetic markers with breast cancer survival. The associations were quite weak, suggesting these markers may have limited prognostic value. The varying associations observed among subtypes may reflect underlying biological differences that should be further investigated.

Indexed as

AgingBiomarkers, TumorBreast NeoplasmsCell DivisionDNA MethylationEpigenesis, GeneticAdultAgedFemaleHumansMiddle AgedPrognosisBiomarkers, Tumorageingbreast cancercancer survivalDNA methylationepigenetics

Identifiers

PMID42363768
PMCPMC13595474

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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.