5-Hydroxymethylated Biomarkers in Cell-Free DNA Predict Occult Colorectal Cancer up to 36 Months Before Diagnosis in the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial.


Journal

JCO precision oncology
ISSN: 2473-4284
Titre abrégé: JCO Precis Oncol
Pays: United States
ID NLM: 101705370

Informations de publication

Date de publication:
Oct 2024
Historique:
medline: 11 10 2024
pubmed: 11 10 2024
entrez: 11 10 2024
Statut: ppublish

Résumé

Using the prostate, lung, colorectal, and ovarian (PLCO) Cancer Screening Trial samples, we identified cell-free DNA (cfDNA) candidate biomarkers bearing the epigenetic mark 5-hydroxymethylcytosine (5hmC) that detected occult colorectal cancer (CRC) up to 36 months before clinical diagnosis. We performed the 5hmC-seal assay and sequencing on ≤8 ng cfDNA extracted from PLCO study participant plasma samples, including n = 201 cases (diagnosed with CRC within 36 months of blood collection) and n = 401 controls (no cancer diagnosis on follow-up). We conducted association studies and machine learning modeling to analyze the genome-wide 5hmC profiles within training and validation groups that were randomly selected at a 2:1 ratio. We successfully obtained 5hmC profiles from these decades-old samples. A weighted Cox model of 32 5hmC-modified gene bodies showed a predictive detection value for CRC as early as 36 months before overt tumor diagnosis (training set AUC, 77.1% [95% CI, 72.2 to 81.9] and validation set AUC, 72.8% [95% CI, 65.8 to 79.7]). Notably, the 5hmC-based predictive model showed comparable performance regardless of sex and race/ethnicity, and significantly outperformed risk factors such as age and obesity (assessed as BMI). Finally, when splitting cases at median weighted prediction scores, Kaplan-Meier analyses showed significant risk stratification for CRC occurrence in both the training set (hazard ratio, [HR], 3.3 [95% CI, 2.6 to 5.8]) and validation set (HR, 3.1 [95% CI, 1.8 to 5.8]). Candidate 5hmC biomarkers and a scoring algorithm have the potential to predict CRC occurrence despite the absence of clinical symptoms and effective predictors. Developing a minimally invasive clinical assay that detects 5hmC-modified biomarkers holds promise for improving early CRC detection and ultimately patient outcomes.

Identifiants

pubmed: 39393034
doi: 10.1200/PO.24.00277
doi:

Substances chimiques

5-hydroxymethylcytosine 1123-95-1
Biomarkers, Tumor 0
5-Methylcytosine 6R795CQT4H
Cell-Free Nucleic Acids 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e2400277

Auteurs

Diana C West-Szymanski (DC)

Department of Chemistry, The University of Chicago, Chicago, IL.
Department of Medicine, The University of Chicago, Chicago, IL.

Zhou Zhang (Z)

Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL.

Xiao-Long Cui (XL)

Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL.

Krissana Kowitwanich (K)

Department of Chemistry, The University of Chicago, Chicago, IL.

Lu Gao (L)

Department of Chemistry, The University of Chicago, Chicago, IL.
Department of Medicine, The University of Chicago, Chicago, IL.

Zifeng Deng (Z)

Department of Medicine, The University of Chicago, Chicago, IL.

Urszula Dougherty (U)

Department of Medicine, The University of Chicago, Chicago, IL.

Craig Williams (C)

Information Management Services, Inc, Rockville, MD.

Shannon Merkle (S)

Information Management Services, Inc, Rockville, MD.

Chuan He (C)

Department of Chemistry, The University of Chicago, Chicago, IL.
Department of Biochemistry and Molecular Biology, Institute for Biophysical Dynamics, University of Chicago, Chicago, IL.
The Howard Hughes Medical Institute, The University of Chicago, Chicago, IL.

Wei Zhang (W)

Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL.

Marc Bissonnette (M)

Department of Medicine, The University of Chicago, Chicago, IL.

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Classifications MeSH