Value of adding GNAS testing to pancreatic cyst fluid KRAS and carcinoembryonic antigen analysis for the diagnosis of intraductal papillary mucinous neoplasms

2016 ◽  
Vol 29 (1) ◽  
pp. 111-117 ◽  
Author(s):  
Abdurrahman Kadayifci ◽  
Mustafa Atar ◽  
Jessica L. Wang ◽  
David G. Forcione ◽  
Brenna W. Casey ◽  
...  
Keyword(s):  
Carcinoembryonic Antigen ◽  
Pancreatic Cyst ◽  
Cyst Fluid ◽  
Intraductal Papillary Mucinous Neoplasms ◽  
Mucinous Neoplasms ◽  
Pancreatic Cyst Fluid

scholarly journals Pancreatic Cyst Fluid and Serum Mucin Levels Predict Dysplasia in Intraductal Papillary Mucinous Neoplasms of the Pancreas

2010 ◽  
Vol 18 (1) ◽  
pp. 199-206 ◽  
Author(s):  
Ajay V. Maker ◽  
Nora Katabi ◽  
Mithat Gonen ◽  
Ronald P. DeMatteo ◽  
Michael I. D’Angelica ◽  
...  
Keyword(s):  
Pancreatic Cyst ◽  
Cyst Fluid ◽  
Intraductal Papillary Mucinous Neoplasms ◽  
Mucinous Neoplasms ◽  
Pancreatic Cyst Fluid

Quantitative real-time detection of carcinoembryonic antigen (CEA) from pancreatic cyst fluid using 3-D surface molecular imprinting

The Analyst ◽  
2016 ◽  
Vol 141 (14) ◽  
pp. 4424-4431 ◽  
Author(s):  
Yingjie Yu ◽  
Qi Zhang ◽  
Jonathan Buscaglia ◽  
Chung-Chueh Chang ◽  
Ying Liu ◽  
...  
Keyword(s):  
Carcinoembryonic Antigen ◽  
Real Time ◽  
Molecular Imprinting ◽  
Pancreatic Cyst ◽  
Cyst Fluid ◽  
Surface Molecular Imprinting ◽  
3D Surface ◽  
Real Time Detection ◽  
Pancreatic Cyst Fluid

In this study, a real time potentiometric biosensor based on the 3D surface molecular imprinting was developed for CEA detection.

Co-analysis of pancreatic cyst fluid carcinoembryonic antigen and glucose with novel cut-off levels better distinguishes between mucinous and non-mucinous neoplastic pancreatic cystic lesions

2021 ◽  
pp. 000456322110539
Author(s):  
Burcu Barutcuoglu ◽  
Nevin Oruc ◽  
Güneş Ak ◽  
Serdar Kucukokudan ◽  
Ahmet Aydın ◽  
...  
Keyword(s):  
Carcinoembryonic Antigen ◽  
Pancreatic Cyst ◽  
Cyst Fluid ◽  
Added Value ◽  
Cystic Degeneration ◽  
Cystic Lesions ◽  
Characteristic Analysis ◽  
Glucose Levels ◽  
Pancreatic Cyst Fluid ◽  
Rule Out

Background Pancreatic cyst fluid analysis plays an important role in distinguishing between mucinous and non-mucinous cyst lesions. We aimed to compare the diagnostic performances of cyst fluid carcinoembryonic antigen (CEA), CA 19-9, and glucose in differentiating mucinous from non-mucinous neoplastic pancreatic cystic lesions (PCLs) and determine the best cut-off levels. Methods Patients’ data were evaluated retrospectively. 102 patients’ PCLs were grouped as non-neoplastic ( n = 25), non-mucinous neoplastic ( n = 20), mucinous neoplastic ( n = 47) and pancreatic adenocarcinomas with cystic degeneration ( n = 10); and CEA, CA 19-9, and glucose levels were compared. Receiver-operating characteristic analysis was performed, and the ideal cut-off values were determined. Results Cyst fluid CEA and CA 19-9, levels were significantly higher ( P < 0.001, P < 0.001, respectively) and glucose levels were significantly lower ( P = 0.001) in mucinous than in non-mucinous neoplastic PCLs. Area under curve with 95% confidence interval of CEA, glucose and CEA and glucose test combination was 0.939 (95% CI = 0.885–0.993, P = 0.001), 0.809 (95% CI = 0.695–0.924, P < 0.001) and 0.937 (95% CI = 0.879–0.995), respectively. CEA cut-offs to rule-in and rule-out mucinous neoplastic were 135.1 ng/mL (sensitivity = 62%, specificity = 94.7%) and 6.12 ng/mL (sensitivity = 94.1%, specificity = 80.4%), respectively. Glucose cut-off of 2.8 mmol/L was chosen both to rule-in and rule-out mucinous neoplastic PCLs (sensitivity = 78%, specificity = 80%). Co-analysis of CEA and glucose to distinguish mucinous from non-mucinous neoplastic PCLs had sensitivity = 87.8%, specificity = 93.3%, and diagnostic accuracy = 89.3%. Conclusions We concluded that co-analysis of cyst fluid CEA (cut-off = 135.1 ng/mL) and glucose (cut-off = 2.8 mmol/L) at novel cut-offs had the best testing performance to rule-in mucinous neoplastic PCLs. To rule-out mucinous PCLs co-analysis of CEA (cut-off = 6.12 ng/mL) and glucose (cut-off = 2.8 mmol/L) added value to prediction.

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