Evidence map›Paper›PMID 38445706›Full record

ArticleJournal of the National Cancer Institute2024

Health-related quality of life and DNA methylation-based aging biomarkers among survivors of childhood cancer.

Noel-Marie Plonski, Yue Pan, Cheng Chen, Qian Dong, Xijun Zhang, Nan Song, Kyla Shelton, John Easton, Heather Mulder, Jinghui Zhang and 12 more

Open access · greenAbstract read
In one paragraph

Article in Journal of the National Cancer Institute, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Review
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

22 authors at 3 institutions in 3 countries.

Noel-Marie PlonskiDepartment of Epidemiology and Cancer Control, St Jude Children's Research Hospital, Memphis, TN, USA.
Yue PanDepartment of Biostatistics, St Jude Children's Research Hospital, Memphis, TN, USA.
Cheng ChenDepartment of Epidemiology and Cancer Control, St Jude Children's Research Hospital, Memphis, TN, USA.
Qian DongDepartment of Epidemiology and Cancer Control, St Jude Children's Research Hospital, Memphis, TN, USA.
Xijun ZhangDepartment of Epidemiology and Cancer Control, St Jude Children's Research Hospital, Memphis, TN, USA.
Nan SongCollege of Pharmacy, Chungbuk National University, Cheongju, Korea.
Kyla SheltonDepartment of Epidemiology and Cancer Control, St Jude Children's Research Hospital, Memphis, TN, USA.
John EastonDepartment of Computational Biology, St Jude Children's Research Hospital, Memphis, TN, USA.ORCID 0000-0003-4503-6608
Heather MulderDepartment of Computational Biology, St Jude Children's Research Hospital, Memphis, TN, USA.
Jinghui ZhangDepartment of Computational Biology, St Jude Children's Research Hospital, Memphis, TN, USA.ORCID 0000-0003-3350-9682
Geoffrey NealeHartwell Center, St Jude Children's Research Hospital, Memphis, TN, USA.ORCID 0000-0003-3776-0858
Emily WalkerHartwell Center, St Jude Children's Research Hospital, Memphis, TN, USA.
Hui WangState Key Laboratory of Oncogenes and Related Genes, Center for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Rachel WebsterDepartment of Psychology, St Jude Children's Research Hospital, Memphis, TN, USA.
Tara BrinkmanDepartment of Psychology, St Jude Children's Research Hospital, Memphis, TN, USA.
Kevin R KrullDepartment of Psychology, St Jude Children's Research Hospital, Memphis, TN, USA.
Gregory T ArmstrongDepartment of Epidemiology and Cancer Control, St Jude Children's Research Hospital, Memphis, TN, USA.
Kirsten K NessDepartment of Epidemiology and Cancer Control, St Jude Children's Research Hospital, Memphis, TN, USA.
Melissa M HudsonDepartment of Epidemiology and Cancer Control, St Jude Children's Research Hospital, Memphis, TN, USA.ORCID 0000-0001-6984-2407
Qian LiDepartment of Biostatistics, St Jude Children's Research Hospital, Memphis, TN, USA.
I-Chan HuangDepartment of Epidemiology and Cancer Control, St Jude Children's Research Hospital, Memphis, TN, USA.ORCID 0000-0002-1194-3923
Zhaoming WangDepartment of Epidemiology and Cancer Control, St Jude Children's Research Hospital, Memphis, TN, USA.ORCID 0000-0001-7556-3869
St. Jude Children's Research Hospital · USChungbuk National University · KRShanghai Jiao Tong University · CN

Funding

Viral Vector Technology (VVTSR)P30CA021765 · NCI · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI Shondra Michelle Miller · 1985 to 2026
$166.9M
The St. Jude Lifetime CohortU01CA195547 · NCI · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI HUDSON, MELISSA M, NESS, KIRSTEN KIMBERLIE · 2015 to 2024
$14.9M
Patient-Reported Outcomes Version of CTCAE involving Childhood Cancer SurvivorsR01CA238368 · NCI · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI BAKER, JUSTIN N, HUANG, I-CHAN · 2019 to 2023
$3.5M
Training in Pediatric Cancer Survivorship Outcomes and InterventionsT32CA225590 · NCI · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI Kevin R Krull · 2018 to 2026
$2.4M
American Lebanese Syrian Associated Charities to St Jude Children's Research Hospital CA021765NCI NIH HHS P30 CA021765NCI NIH HHS R01 CA238368NCI NIH HHS U01 CA195547NIH HHSSt Jude Children's Research HospitalV Foundation # DT2020-014
6 · The paper itself

Abstract

backgroundChildhood cancer survivors are at high risk for morbidity and mortality and poor patient-reported outcomes, typically health-related quality of life (HRQOL). However, associations between DNA methylation-based aging biomarkers and HRQOL have not been evaluated.

methodsDNA methylation was generated with Infinium EPIC BeadChip on blood-derived DNA (median for age at blood draw = 34.5 years, range = 18.5-66.6 years), and HRQOL was assessed with age at survey (mean = 32.3 years, range = 18.4-64.5 years) from 2206 survivors in the St Jude Lifetime Cohort. DNA methylation-based aging biomarkers, including epigenetic age using multiple clocks (eg, GrimAge) and others (eg, DNAmB2M: beta-2-microglobulin; DNAmADM: adrenomedullin), were derived from the DNAm Age Calculator (https://dnamage.genetics.ucla.edu). HRQOL was assessed using the Medical Outcomes Study 36-Item Short-Form Health Survey to capture 8 domains and physical and mental component summaries. General linear models evaluated associations between HRQOL and epigenetic age acceleration (EAA; eg, EAA_GrimAge) or other age-adjusted DNA methylation-based biomarkers (eg, ageadj_DNAmB2M) after adjusting for age at blood draw, sex, cancer treatments, and DNA methylation-based surrogate for smoking pack-years. All P values were 2-sided.

resultsWorse HRQOL was associated with greater EAA_GrimAge (physical component summaries: β = -0.18 years, 95% confidence interval [CI] = -0.251 to -0.11 years; P = 1.85 × 10-5; and 4 individual HRQOL domains), followed by ageadj_DNAmB2M (physical component summaries: β = -0.08 years, 95% CI = -0.124 to -0.037 years; P = .003; and 3 individual HRQOL domains) and ageadj_DNAmADM (physical component summaries: β = -0.082 years, 95% CI = -0.125 to -0.039 years; P = .002; and 2 HRQOL domains). EAA_Hannum (Hannum clock) was not associated with any HRQOL.

conclusionsOverall and domain-specific measures of HRQOL are associated with DNA methylation measures of biological aging. Future longitudinal studies should test biological aging as a potential mechanism underlying the association between poor HRQOL and increased risk of clinically assessed adverse health outcomes.

Indexed as

AgingCancer SurvivorsDNA MethylationNeoplasmsQuality of LifeAdolescentAdultAgedBiomarkersChildEpigenesis, GeneticFemaleHumansMaleMiddle AgedYoung AdultBiomarkers

Identifiers

PMID38445706
PMCPMC11223852
OpenAlexW4392576761

What OpenQuestion holds

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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.