Circulating tumor DNA-guided early detection and minimal residual disease monitoring in pancreatic and biliary cancers: evidence, barriers, and opportunities.
1/5 보강
[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
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 한글 요약
[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.
[SUPPLEMENTARY INFORMATION] The online version contains supplementary material available at 10.1186/s12957-026-04238-1.
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