Evidence map›Paper›PMID 39001419›Full record

ArticleCancers2024

The Significant Associations between Epigenetic Clocks and Bladder Cancer Risks.

Yang Deng, Chia-Wen Tsai, Wen-Shin Chang, Yifan Xu, Maosheng Huang, Da-Tian Bau, Jian Gu

Abstract read
In one paragraph

Article in Cancers, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. 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
  4. Article
  5. Article
  6. Article
  7. 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

7 authors.

Yang DengDepartment of General Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200031, China.ORCID 0000-0002-7170-5468
Chia-Wen TsaiDepartment of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Wen-Shin ChangDepartment of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Yifan XuDepartment of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Maosheng HuangDepartment of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Da-Tian BauDepartment of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.ORCID 0000-0002-5504-8656
Jian GuDepartment of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.ORCID 0000-0003-3499-0973

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bladder cancer is an age-related disease, with over three-quarters of cases occurring in individuals aged 65 years and older. Accelerated biological aging has been linked to elevated cancer risks. Epigenetic clocks serve as excellent predictors of biological age, yet it remains unclear whether they are associated with bladder cancer risk. In this large case-control study, we assessed the associations between four well-established epigenetic clocks-HannumAge, HorvathAge, GrimAge, and PhenoAge-and bladder cancer risk. Utilizing single nucleotide polymorphisms (SNPs), which were identified in a genome-wide association study (GWAS), linked to these clocks as instruments, we constructed a weighted genetic risk score (GRS) for each clock. We discovered that higher HannumAge and HorvathAge GRS were significantly associated with increased bladder cancer risk (OR = 1.69 per SD increase, 95% CI, 1.44-1.98,

Indexed as

biologic agebladder cancerDNA methylationepigenetic clockMendelian randomizationSNP

Identifiers

PMID39001419
PMCPMC11240392

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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.