Molecular Diagnosis of Cystic Neoplasms of the Pancreas: a Review.

Intraductal papillary mucinous neoplasm Mucinous cystic neoplasm Pancreatic cystic neoplasm Pancreatic pseudocyst Serous cystadenoma Solid pseudopapillary tumor of the pancreas

Journal

Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract
ISSN: 1873-4626
Titre abrégé: J Gastrointest Surg
Pays: United States
ID NLM: 9706084

Informations de publication

Date de publication:
05 2020
Historique:
received: 17 08 2019
accepted: 29 01 2020
pubmed: 5 3 2020
medline: 15 4 2021
entrez: 5 3 2020
Statut: ppublish

Résumé

The prevalence of incidental pancreatic cystic neoplasms (PCNs) has increased dramatically with advancements in cross-sectional imaging. Diagnostic imaging is limited in differentiating between benign and malignant PCNs. The aim of this review is to provide an overview of biomarkers that can be used to distinguish PCNs. A review of the literature on molecular diagnosis of cystic neoplasms of the pancreas was performed. Pancreatic cysts can be categorized into inflammatory and non-inflammatory lesions. Inflammatory cysts include pancreatic pseudocysts. Noninflammatory lesions include both mucinous and non-mucinous lesions. Mucinous lesions include intraductal papillary mucinous neoplasm (IPMN) and mucinous cystic neoplasm. Non-mucinous lesions include serous cystadenoma and solid-pseudopapillary tumor of the pancreas. Imaging, cyst aspiration, and histologic findings, as well as carcinoembryonic antigen and amylase are commonly used to distinguish between cyst types. However, molecular techniques to detect differences in genetic mutations, protein expression, glycoproteomics, and metabolomic profiling are important developments in distinguishing between cyst types. Nomograms incorporating common clinical, laboratory, and imaging findings have been developed in a better effort to predict malignant IPMN. The incorporation of top molecular biomarker candidates to nomograms may improve the predictive ability of current models to more accurately diagnose malignant PCNs.

Sections du résumé

BACKGROUND
The prevalence of incidental pancreatic cystic neoplasms (PCNs) has increased dramatically with advancements in cross-sectional imaging. Diagnostic imaging is limited in differentiating between benign and malignant PCNs. The aim of this review is to provide an overview of biomarkers that can be used to distinguish PCNs.
METHODS
A review of the literature on molecular diagnosis of cystic neoplasms of the pancreas was performed.
RESULTS
Pancreatic cysts can be categorized into inflammatory and non-inflammatory lesions. Inflammatory cysts include pancreatic pseudocysts. Noninflammatory lesions include both mucinous and non-mucinous lesions. Mucinous lesions include intraductal papillary mucinous neoplasm (IPMN) and mucinous cystic neoplasm. Non-mucinous lesions include serous cystadenoma and solid-pseudopapillary tumor of the pancreas. Imaging, cyst aspiration, and histologic findings, as well as carcinoembryonic antigen and amylase are commonly used to distinguish between cyst types. However, molecular techniques to detect differences in genetic mutations, protein expression, glycoproteomics, and metabolomic profiling are important developments in distinguishing between cyst types.
DISCUSSION
Nomograms incorporating common clinical, laboratory, and imaging findings have been developed in a better effort to predict malignant IPMN. The incorporation of top molecular biomarker candidates to nomograms may improve the predictive ability of current models to more accurately diagnose malignant PCNs.

Identifiants

pubmed: 32128679
doi: 10.1007/s11605-020-04537-2
pii: 10.1007/s11605-020-04537-2
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

1201-1214

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Auteurs

J C Chen (JC)

The Ohio State University College of Medicine, Columbus, OH, 43210, USA.

Eliza W Beal (EW)

Division of Surgical Oncology, Department of Surgery, The Ohio State University Wexner Medical Center, Columbus, OH, 43210, USA.

Timothy M Pawlik (TM)

Division of Surgical Oncology, Department of Surgery, The Ohio State University Wexner Medical Center, Columbus, OH, 43210, USA.

Jordan Cloyd (J)

Division of Surgical Oncology, Department of Surgery, The Ohio State University Wexner Medical Center, Columbus, OH, 43210, USA.

Mary E Dillhoff (ME)

Division of Surgical Oncology, Department of Surgery, The Ohio State University Wexner Medical Center, Columbus, OH, 43210, USA. Mary.Dillhoff@osumc.edu.

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