2026-03-11T22:25:49Z https://asahikawa-med.repo.nii.ac.jp/oai

oai:asahikawa-med.repo.nii.ac.jp:02000275 2025-01-20T05:31:44Z 7:27:45

Time-saving method for directly amplifying and capturing a minimal amount of pancreatic tumor-derived mutations from fine-needle aspirates using digital PCR 微量組織検体中の体細胞変異の検出を可能にする迅速デジタルPCR解析法の開発 林, 明宏 ハヤシ, アキヒロ Hayashi, Akihiro open access PMID:32704002 It is challenging to secure a cytopathologic diagnosis using minute amounts of tumor fluids and tissue fragments. Hence, we developed a rapid, accurate, low-cost method for detecting tumor cell-derived DNA from limited amounts of specimens and samples with a low tumor cellularity, to detect KRAS mutations in pancreatic ductal carcinomas (PDA) using digital PCR (dPCR). The core invention is based on the suspension of tumor samples in pure water, which causes an osmotic burst; the crude suspension could be directly subjected to emulsion PCR in the platform. We examined the feasibility of this process using needle aspirates from surgically resected pancreatic tumor specimens (n = 12). We successfully amplified and detected mutant KRAS in 11 of 12 tumor samples harboring the mutation; the positive mutation frequency was as low as 0.8%. We used residual specimens from fine-needle aspiration/biopsy and needle flush processes (n = 10) for method validation. In 9 of 10 oncogenic KRAS pancreatic tumor samples, the "water-burst" method resulted in a positive mutation call. We describe a dPCR-based, super-sensitive screening protocol for determining KRAS mutation availability using tiny needle aspirates from PDAs processed using simple steps. This method might enable pathologists to secure a more accurate, minimally invasive diagnosis using minute tissue fragments. 2020-06-01 eng doctoral thesis VoR https://asahikawa-med.repo.nii.ac.jp/records/2000275 https://doi.org/10.1038/s41598-020-69221-6. 2045-2322 Scientific reports 10 1 12332 甲第557号 博士（医学） 2022-12-23 旭川医科大学 https://asahikawa-med.repo.nii.ac.jp/record/2000275/files/K557 Hayashi Akihiro_TD.pdf application/pdf 8.1 MB 2021-11-04