Neutrophil Gelatinase-Associated Lipocalin for the Differentiation of Mucinous Pancreatic Cystic Lesions.
Miruna Patricia OlarMaria IacobescuSorana D BolboacăCristina PojogaOfelia MoșteanuRadu SeiceanIoana RusuOana BancCristina-Adela IugaAndrada SeiceanPublished in: International journal of molecular sciences (2024)
Undetermined pancreatic cystic lesion (PCL) differentiation benefits from endoscopic ultrasound (EUS) based on morphology and cyst fluid analysis, but room for new biomarkers exists. Our aim was to assess the intracystic and serum diagnostic value of neutrophil gelatinase-associated lipocalin (Ngal) and interleukin 1 beta (IL-1β) for differentiation of PCLs. This prospective study included patients from one tertiary hospital, evaluated between April 2018 and May 2020. EUS fine-needle aspiration or pancreatic pseudocysts drainage was the source of PCL intracystic liquid. The final diagnosis was based on surgery or EUS results (morphology, cytology, glucose, and CEA-carcinoembryogenic antigen). The intracystic samples were tested for Ngal, IL-1β, glucose, and CEA, and serum for Ngal and IL-1β. We evaluated 63 cysts, 33 pseudocysts, and 30 non-inflammatory cysts. The diagnostic sensitivity and specificity for mucinous PCL was 70.8% and 92.3% for intracystic Ngal (cut-off: 500-800 ng/dL), without correlation with serum Ngal, no matter the inclusion of infected pseudocysts. After exclusion of infected pseudocysts, the sensitivity and specificity for glucose were 87% and 75%, respectively, and for CEA, they were 87.1%, and 96.8%, respectively. Intracystic Ngal shows promise in differentiating mucinous PCLs, but researchers need to conduct further studies to confirm its effectiveness. Intracystic IL-1β and serum Ngal made no diagnostic contribution.
Keyphrases
- fine needle aspiration
- ultrasound guided
- low grade
- minimally invasive
- ejection fraction
- randomized controlled trial
- end stage renal disease
- newly diagnosed
- magnetic resonance imaging
- oxidative stress
- prognostic factors
- magnetic resonance
- type diabetes
- coronary artery disease
- patient reported outcomes
- big data
- coronary artery bypass
- deep learning
- ionic liquid
- case control
- percutaneous coronary intervention
- patient reported