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Circulating tumor DNA-guided early detection and minimal residual disease monitoring in pancreatic and biliary cancers: evidence, barriers, and opportunities.

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World journal of surgical oncology 📖 저널 OA 97.8% 2022: 7/7 OA 2023: 12/12 OA 2024: 25/25 OA 2025: 121/122 OA 2026: 96/101 OA 2022~2026 2026 Vol.24(1) OA
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Liu R, Yang Y, Hu Z, Fu Y

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[UNLABELLED] Pancreatic ductal adenocarcinoma (PDAC) and biliary tract cancers (BTCs) are characterized by dismal prognoses, largely because effective strategies for early detection are lacking and po

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APA Liu R, Yang Y, et al. (2026). Circulating tumor DNA-guided early detection and minimal residual disease monitoring in pancreatic and biliary cancers: evidence, barriers, and opportunities.. World journal of surgical oncology, 24(1). https://doi.org/10.1186/s12957-026-04238-1
MLA Liu R, et al.. "Circulating tumor DNA-guided early detection and minimal residual disease monitoring in pancreatic and biliary cancers: evidence, barriers, and opportunities.." World journal of surgical oncology, vol. 24, no. 1, 2026.
PMID 41652428 ↗

Abstract

[UNLABELLED] Pancreatic ductal adenocarcinoma (PDAC) and biliary tract cancers (BTCs) are characterized by dismal prognoses, largely because effective strategies for early detection are lacking and post-surgical relapse is common. Liquid biopsy—particularly circulating tumor DNA (ctDNA) analysis—offers a minimally invasive and highly specific approach to reshape the clinical management of these malignancies. In this review, we synthesize recent advances in ctDNA applications across two ctDNA-guided scenarios: early diagnosis/screening and postoperative minimal residual disease (MRD) monitoring. We trace the evolution of ctDNA detection technologies from digital PCR (ddPCR) to next-generation sequencing (NGS)–based tumor-informed and tumor-agnostic assays, and summarize key prospective and retrospective studies in pancreatobiliary tumors. A central feature of our article is the side-by-side comparison of PDAC and BTCs, highlighting shared technical barriers—low ctDNA yield, stromal desmoplasia, clonal hematopoiesis—and their distinct genomic landscapes (PDAC: ,,,; BTCs: mutations, fusions, or alterations), which together influence assay design and clinical interpretability. Finally, we outline clinical opportunities, including serial ctDNA-based risk stratification, ctDNA-informed adjuvant escalation/de-escalation, and the integration of multi-omics data, standardized reporting, and artificial intelligence (AI)–assisted signal analysis to improve sensitivity in low-shedding tumors. This framework aligns ctDNA technology with real-world clinical decision points in pancreatic and biliary cancers.

[SUPPLEMENTARY INFORMATION] The online version contains supplementary material available at 10.1186/s12957-026-04238-1.

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