ArticleAnnals of surgical oncology2026
KRAS Mutation Allele Frequency Dynamics in Plasma Extracellular Vesicles: Association with Survival in Localized Pancreatic Adenocarcinoma.
Article in Annals of surgical oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
backgroundPancreatic ductal adenocarcinoma (PDAC) lacks consistent biomarkers to monitor treatment response and predict survival. Metabolically active extracellular vesicles (EVs) carrying tumor-specific KRAS mutations offer promise as disease-specific biomarkers. PATIENTS AND
methodsInformed by genomic profiling of tumor tissue, plasma samples were prospectively collected from 44 patients, with confirmed KRAS-mutated PDAC, undergoing neoadjuvant therapy (NAT) followed by surgery between 2019 and 2021. Samples were obtained at diagnosis, post-NAT, and 1 month post surgery. EVs were isolated using lipid nanoprobe technology, and EV-associated KRAS mutations were detected using droplet digital polymerase chain reaction (ddPCR). Patients were grouped on the basis of temporal changes in EV-associated KRAS mutation allele frequency (MAF): no KRAS detected (ND), decreasing MAF (DD), and increasing MAF (ID).
resultsAmong 44 patients, 29 (65.9%) were ND, 8 (18.2%) DD, and 7 (15.9%) ID. Detectable EV-associated KRAS MAF was found in 21%, 30%, and 50% of patients with stages I, II, and III PDAC. No significant differences were noted in demographic or clinical variables (p > 0.05). The ND group had the longest restricted mean disease-free survival (rmDFS: 31.2 months), followed by DD (27.8 months) and ID (9.8 months; p = 0.010). Similarly, restricted mean overall survival (rmOS) was longest in the ND (40.3 months), followed by DD (35.7 months) and ID (17.7 months; p = 0.012). On multivariable analysis, increasing EV-KRAS MAF (ID group) independently predicted inferior rmDFS [hazard ratio (HR): 6.14; p = 0.001] and rmOS (HR: 6.95; p = 0.002).
conclusionsTemporal increase of EV-KRAS MAF is a significant predictor of reduced DFS and OS in PDAC. Integrating EV-KRAS mutation allele frequency dynamics analysis with current biomarkers such as carbohydrate antigen 19-9 (CA19-9) could improve treatment monitoring and survival prognostication.
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