ArticleClinical epigenetics2020
Whole blood DNA methylation aging markers predict colorectal cancer survival: a prospective cohort study.
Article in Clinical epigenetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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.
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.
Who cites it
16 citing papers in PubMed, 19 citations in OpenAlex.
- Associations of Accelerated DNA Methylation Aging Algorithms with Chronic Liver Disease and All-Cause Mortality.Biomedicines · 2026Article
- Blood DNA methylation-predicted plasma protein levels and colorectal cancer survival.Clinical epigenetics · 2026Article
- Proteomic aging clocks and the risk of mortality among long-term cancer survivors.Journal of the National Cancer Institute · 2026Article
- Epigenetic age and accelerated aging phenotypes: a tumor biomarker for predicting colorectal cancer.Aging · 2025Article
- Pubertal timing as a predictor of epigenetic aging and mortality risk in young adulthood.Developmental psychology · 2025Article
- Biological Aging in Combination with Lifestyle Factors in the Blood-Based Methylome: A Biomarker for Colorectal Cancer Susceptibility in African American Women.Aging and disease · 2025Article
- Smoking-independent DNA methylation markers for lung cancer risk: External validation in a large population-based cohort study.Cancer science · 2025Article
- Developing survival prediction models in colorectal cancer using epigenome-wide DNA methylation data from whole blood.NPJ precision oncology · 2024Article
- Blood-Based Epigenetic Age Acceleration and Incident Colorectal Cancer Risk: Findings from a Population-Based Case-Control Study.International journal of molecular sciences · 2024Article
- High DNA methylation age deceleration defines an aggressive phenotype with immunoexclusion environments in endometrial carcinoma.Frontiers in immunology · 2023Article
- Article
- Overview of serum and tissue markers in colorectal cancer: a primer for radiologists.Abdominal radiology (New York) · 2021Review
- Promising Epigenetic Biomarkers for the Early Detection of Colorectal Cancer: A Systematic Review.Cancers · 2021Review
- Article
- Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundBlood DNA methylation-based aging algorithms predict mortality in the general population. We investigated the prognostic value of five established DNA methylation aging algorithms for patients with colorectal cancer (CRC).
methodsAgeAccelHorvath, AgeAccelHannum, DNAmMRscore, AgeAccelPheno and AgeAccelGrim were constructed using whole blood epi-genomic data from 2206 CRC patients. After a median follow-up of 6.2 years, 1079 deaths were documented, including 596 from CRC. Associations of the aging algorithms with survival outcomes were evaluated using the Cox regression and survival curves. Harrell's C-statistics were computed to investigate predictive performance.
resultsAdjusted hazard ratios (95% confidence intervals) of all-cause mortality for patients in the third compared to the first tertile were 1.66 (1.32, 2.09) for the DNAmMRscore, 1.35 (1.14, 1.59) for AgeAccelPheno and 1.65 (1.37, 2.00) for AgeAccelGrim, even after adjustment for age, sex and stage. AgeAccelHorvath and AgeAccelHannum were not associated with all-cause or CRC-specific mortality. In stage-specific analyses, associations were much stronger for patients with early or intermediate stage cancers (stages I, II and III) than for patients with metastatic (stage IV) cancers. Associations were weaker and less often statistically significant for CRC-specific mortality. Adding DNAmMRscore, AgeAccelPheno or AgeAccelGrim to models including age, sex and tumor stage improved predictive performance moderately.
conclusionsDNAmMRscore, AgeAccelPheno and AgeAccelGrim could serve as non-invasive CRC prognostic biomarkers independent of other commonly used markers. Further research should aim for tailoring and refining such algorithms for CRC patients and to explore their value for enhanced prediction of treatment success and treatment decisions.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.