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Circulating cell-free DNA methylation analysis of pancreatic cancer patients for early noninvasive diagnosis.

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Frontiers in oncology 📖 저널 OA 100% 2021: 15/15 OA 2022: 98/98 OA 2023: 60/60 OA 2024: 189/189 OA 2025: 1004/1004 OA 2026: 620/620 OA 2021~2026 2025 Vol.15() p. 1552426
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Hu W, Zhao X, Luo N, Xiao M, Feng F, An Y, Chen J, Rong L, Yang Y, Peng J

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[BACKGROUND] Aberrant hypermethylation of genomic DNA CpG islands (CGIs) is frequently observed in human pancreatic cancer (PAC).

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  • 표본수 (n) 50
  • Sensitivity 97%
  • Specificity 100%

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APA Hu W, Zhao X, et al. (2025). Circulating cell-free DNA methylation analysis of pancreatic cancer patients for early noninvasive diagnosis.. Frontiers in oncology, 15, 1552426. https://doi.org/10.3389/fonc.2025.1552426
MLA Hu W, et al.. "Circulating cell-free DNA methylation analysis of pancreatic cancer patients for early noninvasive diagnosis.." Frontiers in oncology, vol. 15, 2025, pp. 1552426.
PMID 40129923 ↗

Abstract

[BACKGROUND] Aberrant hypermethylation of genomic DNA CpG islands (CGIs) is frequently observed in human pancreatic cancer (PAC). A plasma cell-free DNA (cfDNA) methylation analysis method can be utilized for the early and noninvasive detection of PAC. This study also aimed to differentiate PAC from other cancer types.

[METHODS] We employed the methylated CpG tandem amplification and sequencing (MCTA-Seq) method, which targets approximately one-third of CGIs, on plasma samples from PAC patients (n = 50) and healthy controls (n = 52), as well as from cancerous and adjacent noncancerous tissue samples (n = 66). The method's efficacy in detecting PAC and distinguishing it from hepatocellular carcinoma (HCC), colorectal cancer (CRC), and gastric cancer (GC) was evaluated. Additionally, a methylation score and typing system for PAC was also established.

[RESULTS] We identified a total of 120 cfDNA methylation biomarkers, including , , and , for the detection of PAC in blood. A panel comprising these biomarkers achieved a sensitivity of 97% and 86% for patients in the discovery and validation cohorts, respectively, with a specificity of 100% in both cohorts. The methylation scoring and typing systems were clinically applicable. Furthermore, we identified hundreds of differentially methylated cfDNA biomarkers between PAC and HCC, CRC, and GC. Certain combinations of these markers can be used in a highly specific (approximately 100%) algorithm to differentiate PAC from HCC, CRC, and GC in blood.

[CONCLUSIONS] Our study identified cfDNA methylation markers for PAC, offering a novel approach for the early, noninvasive diagnosis of PAC.

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