Evidence map›Paper›PMID 31375479›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2019

Association of Epigenetic Clock with Consensus Molecular Subtypes and Overall Survival of Colorectal Cancer.

Chunlei Zheng, Li Li, Rong Xu

Abstract read
In one paragraph

Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Article
  2. Single-cell epigenomics of colorectal cancer.Experimental & molecular medicine · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Genes and Longevity of Lifespan.International journal of molecular sciences · 2022
    Review
  16. Review
  17. Article
  18. Article
  19. Article
  20. The use of DNA methylation clock in aging research.Experimental biology and medicine (Maywood, N.J.) · 2021
    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

3 authors.

Chunlei ZhengDepartment of Population and Quantitative Health Sciences, Institute of Computational Biology, School of Medicine, Case Western Reserve University, Cleveland, Ohio.ORCID 0000-0002-9737-461X
Li LiDepartment of Family Medicine, School of Medicine, University of Virginia, Charlottesville, Virginia. rxx@case.edu ll8nv@virginia.edu.
Rong XuDepartment of Population and Quantitative Health Sciences, Institute of Computational Biology, School of Medicine, Case Western Reserve University, Cleveland, Ohio. rxx@case.edu ll8nv@virginia.edu.

Funding

Role of MYC-MIZ1 signaling and the inflammatory immune microenvironment in Triple-Negative Breast Cancer Racial DisparitiesP20CA233216 · NCI · CASE WESTERN RESERVE UNIVERSITY · PI VARADAN, VINAY · 2018 to 2021
$3.6M
Combine computational prediction, network analysis and genetic screening in C elegans to uncover neurodegenerative causes in Alzheimer's DiseaseR01AG061388 · NIA · CASE WESTERN RESERVE UNIVERSITY · PI CHEN, SHU G., XU, RONG · 2018 to 2022
$3.4M
An Integrated Reverse Engineering Approach Toward Rapid drug Re positioning for Alzheimer's DiseaseR01AG057557 · NIA · CASE WESTERN RESERVE UNIVERSITY · PI XU, RONG · 2017 to 2021
$2.8M
Rapid reverse translational drug repositioningDP2HD084068 · NICHD · CASE WESTERN RESERVE UNIVERSITY · PI XU, RONG · 2014 to 2014
$2.4M
15-Hydroxyprostaglandin Dehydrogenase, NSAIDs, Vitamin D, and Coloretcal NeoplasiU01CA181770 · NCI · CASE WESTERN RESERVE UNIVERSITY · PI LI, LI · 2014 to 2017
$2.2M
Construct large-scale phenomes of disease and drugs and develop data-driven systems approaches to understand genetic links between Alzheimer's disease and Neuropsychiatric symptomsR56AG062272 · NIA · CASE WESTERN RESERVE UNIVERSITY · PI XU, RONG · 2018 to 2019
$1.6M
NCI NIH HHS P20 CA233216NCI NIH HHS U01 CA181770NIA NIH HHS R01 AG057557NIA NIH HHS R01 AG061388NIA NIH HHS R56 AG062272NICHD NIH HHS DP2 HD084068
6 · The paper itself

Abstract

backgroundEpigenetic clock, or DNA methylation age, has been shown to highly correlate with chronologic age. Epigenetic age acceleration, the difference between DNA methylation age and individual's chronologic age, was observed in colorectal cancer. However, the association of epigenetic age acceleration with colorectal cancer tumor molecular characteristics, clinical characteristics, and patient outcomes has not been systematically investigated.

methodsDNA methylation ages of 345 patients with colorectal cancer from The Cancer Genome Atlas (TCGA) were computed using the Horvath age prediction model. Multivariate linear regression was used to assess the association of epigenetic age acceleration with molecular and clinical features of colorectal cancer, including consensus molecular subtypes (CMS1-CMS4) and tumor stage Cox proportional hazards regression was used to assess the association of epigenetic age acceleration with survival.

resultsEpigenetic age acceleration is significantly associated with CMS. Compared with CMS2, epigenetic age acceleration for CMS1, CMS3, and CMS4 was 23.90 years [

conclusionsEpigenetic age acceleration is associated with colorectal cancer tumor molecular characteristics, and a significant predictor of overall survival of colorectal cancer, along with age and tumor stage. IMPACT: Combining information of colonic tissue epigenetic age acceleration and tumor molecular characteristics may improve prognosis prediction in colorectal cancer.

Indexed as

DNA MethylationAge FactorsBiomarkers, TumorCase-Control StudiesColorectal NeoplasmsEpigenesis, GeneticFemaleHumansMaleMiddle AgedMolecular TypingNeoplasm StagingPrognosisSurvival RateBiomarkers, Tumor

Identifiers

PMID31375479
PMCPMC6774810

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.