인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
Abstract Background Recent imaging modalities have helped inthe early detection of pancreatic ductal adenocarcinoma (PDAC), resulting inimproved survival rates for patients with early‐stage PDAC. However, preoperative pathological diagnosis of early‐stage PDAC remains a challenge, particularly for small PDAC that is difficult to diagnose through standardendoscopic ultrasound‐guided fine‐needle biopsy. In this context, pancreaticjuice cytology has been re‐evaluated as an important tool for the preoperativediagnosis of early‐stage PDAC. Main Pancreatic juice (PJ) comes in directcontact with PDAC lesions in the pancreatic duct and thus may contain a fewHG‐PanIN/PDAC cells and specific molecules. Additionally, the PJ may containconcentrated small extracellular vesicles (sEVs) that are released from cancerlesions. sEVs are double‐layered lipid‐bound particles that contain cargoassociated with the cell‐of‐origin, including proteins, microRNA, and RNA. sEVsreleased from cancer lesions found in body fluids, such as blood, urine, andsaliva, have already been studied as potential sources of diagnostic biomarkersfor cancer. PJ‐derived sEVs could serve as a “liquid biopsy” for theearly diagnosis of PDAC. However, little is known about the existence,physiological status, and function of PJ‐derived sEVs and their potentialutility as biomarkers for diagnostic, surveillance, and monitoring purposes oras therapeutic targets. Conclusion PJ‐derived sEVs represent a promisingavenue for the early diagnosis of PDAC. The utility of these particles as biomarkersfor diagnostic, surveillance, and monitoring purposes, or as therapeutictargets, warrants further research. Understanding the existence, physiologicalstatus, and function of PJ‐derived sEVs is crucial to unlocking their potentialas a valuable tool for overcoming PDAC.
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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