Literature DB >> 31175863

Cross Validation of the Monoclonal Antibody Das-1 in Identification of High-Risk Mucinous Pancreatic Cystic Lesions.

Koushik K Das1, Xin Geng2, Jeffrey W Brown3, Vicente Morales-Oyarvide4, Tiffany Huynh5, Ilaria Pergolini4, Martha B Pitman5, Cristina Ferrone4, Mohammad Al Efishat6, Dana Haviland6, Elizabeth Thompson7, Christopher Wolfgang8, Anne Marie Lennon9, Peter Allen6, Keith D Lillemoe4, Ryan C Fields10, William G Hawkins10, Jingxia Liu10, Carlos Fernandez-Del Castillo4, Kiron M Das2, Mari Mino-Kenudson11.   

Abstract

BACKGROUND & AIMS: Although pancreatic cystic lesions (PCLs) are frequently and incidentally detected, it is a challenge to determine their risk of malignancy. In immunohistochemical and enzyme-linked immunosorbent assay (ELISA) analyses of tissue and cyst fluid from pancreatic intraductal papillary mucinous neoplasms, the monoclonal antibody Das-1 identifies those at risk for malignancy with high levels of specificity and sensitivity. We aimed to validate the ability of Das-1 to identify high-risk PCLs in comparison to clinical guidelines and clinical features, using samples from a multicenter cohort.
METHODS: We obtained cyst fluid samples of 169 PCLs (90 intraductal papillary mucinous neoplasms, 43 mucinous cystic neoplasms, and 36 non-mucinous cysts) from patients undergoing surgery at 4 tertiary referral centers (January 2010 through June 2017). Histology findings from surgical samples, analyzed independently and centrally re-reviewed in a blinded manner, were used as the reference standard. High-risk PCLs were those with invasive carcinomas, high-grade dysplasia, or intestinal-type intraductal papillary mucinous neoplasms with intermediate-grade dysplasia. An ELISA with Das-1 was performed in parallel using banked cyst fluid samples. We evaluated the biomarker's performance, generated area under the curve values, and conducted multivariate logistic regression using clinical and pathology features.
RESULTS: The ELISA for Das-1 identified high-risk PCLs with 88% sensitivity, 99% specificity, and 95% accuracy, at a cutoff optical density value of 0.104. In 10-fold cross-validation analysis with 100 replications, Das-1 identified high-risk PCLs with 88% sensitivity and 98% specificity. The Sendai, Fukuoka, and American Gastroenterological Association guideline criteria identified high-risk PCLs with 46%, 52%, and 74% accuracy (P for comparison to Das-1 ELISA <.001). When we controlled for Das-1 in multivariate regression, main pancreatic duct dilation >5 mm (odds ratio, 14.98; 95% confidence interval, 2.63-108; P < .0012), main pancreatic duct dilation ≥1 cm (odds ratio, 47.9; 95% confidence interval, 6.39-490; P < .0001), and jaundice (odds ratio, 6.16; 95% confidence interval, 1.08-36.7; P = .0397) were significantly associated with high-risk PCLs.
CONCLUSIONS: We validated the ability of an ELISA with the monoclonal antibody Das-1 to detect PCLs at risk for malignancy with high levels of sensitivity and specificity. This biomarker might be used in conjunction with clinical guidelines to identify patients at risk for malignancy.
Copyright © 2019 AGA Institute. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Intraductal Papillary Mucinous Neoplasm (IPMN); Mucinous Cystic Neoplasm (MCN); Pancreatic Cancer; mAb Das-1

Mesh:

Substances:

Year:  2019        PMID: 31175863      PMCID: PMC6707850          DOI: 10.1053/j.gastro.2019.05.014

Source DB:  PubMed          Journal:  Gastroenterology        ISSN: 0016-5085            Impact factor:   22.682


  18 in total

Review 1.  Early detection of pancreatic cancer: current state and future opportunities.

Authors:  Guru Trikudanathan; Emil Lou; Anirban Maitra; Shounak Majumder
Journal:  Curr Opin Gastroenterol       Date:  2021-09-01       Impact factor: 2.741

Review 2.  Elevating pancreatic cystic lesion stratification: Current and future pancreatic cancer biomarker(s).

Authors:  Joseph Carmicheal; Asish Patel; Vipin Dalal; Pranita Atri; Amaninder S Dhaliwal; Uwe A Wittel; Mokenge P Malafa; Geoffrey Talmon; Benjamin J Swanson; Shailender Singh; Maneesh Jain; Sukhwinder Kaur; Surinder K Batra
Journal:  Biochim Biophys Acta Rev Cancer       Date:  2019-10-30       Impact factor: 10.680

3.  mAb Das-1 identifies pancreatic ductal adenocarcinoma and high-grade pancreatic intraepithelial neoplasia with high accuracy.

Authors:  Koushik K Das; Jeffrey W Brown; Carlos Fernandez Del-Castillo; Tiffany Huynh; Jason C Mills; Yoko Matsuda; Kiron M Das; Mari Mino-Kenudson
Journal:  Hum Pathol       Date:  2021-01-30       Impact factor: 3.466

4.  Extracellular Vesicle Analysis Allows for Identification of Invasive IPMN.

Authors:  Katherine S Yang; Debora Ciprani; Aileen O'Shea; Andrew S Liss; Robert Yang; Sarah Fletcher-Mercaldo; Mari Mino-Kenudson; Carlos Fernández-Del Castillo; Ralph Weissleder
Journal:  Gastroenterology       Date:  2020-12-07       Impact factor: 22.682

5.  A novel nomogram to predict all-cause readmission or death risk in Chinese elderly patients with heart failure.

Authors:  Mengxi Yang; Liyuan Tao; Hui An; Gang Liu; Qiang Tu; Hu Zhang; Li Qin; Zhu Xiao; Yu Wang; Jiaxai Fan; Dongping Feng; Yan Liang; Jingyi Ren
Journal:  ESC Heart Fail       Date:  2020-04-21

Review 6.  Stratifying Intraductal Papillary Mucinous Neoplasms by Cyst Fluid Analysis: Present and Future.

Authors:  Scarlett Hao; Caitlin Takahashi; Rebecca A Snyder; Alexander A Parikh
Journal:  Int J Mol Sci       Date:  2020-02-09       Impact factor: 5.923

Review 7.  Intraductal Pancreatic Mucinous Neoplasms: A Tumor-Biology Based Approach for Risk Stratification.

Authors:  Vincenzo Nasca; Marta Chiaravalli; Geny Piro; Annachiara Esposito; Lisa Salvatore; Giampaolo Tortora; Vincenzo Corbo; Carmine Carbone
Journal:  Int J Mol Sci       Date:  2020-09-02       Impact factor: 5.923

8.  A new needle-based confocal laser endomicroscopy pattern of malignant pancreatic mucinous cystic lesions (with video).

Authors:  Yunlu Feng; Xiaoyan Chang; Yu Zhao; Dong Wu; Zhilan Meng; Xi Wu; Tao Guo; Qingwei Jiang; Shengyu Zhang; Qiang Wang; Aiming Yang
Journal:  Endosc Ultrasound       Date:  2021 May-Jun       Impact factor: 5.628

Review 9.  Biomarkers in the diagnosis of pancreatic cancer: Are we closer to finding the golden ticket?

Authors:  Robert S O'Neill; Alina Stoita
Journal:  World J Gastroenterol       Date:  2021-07-14       Impact factor: 5.742

10.  Biomarkers and Strategy to Detect Preinvasive and Early Pancreatic Cancer: State of the Field and the Impact of the EDRN.

Authors:  Ying Liu; Sukhwinder Kaur; Ying Huang; Johannes F Fahrmann; Jo Ann Rinaudo; Samir M Hanash; Surinder K Batra; Aatur D Singhi; Randall E Brand; Anirban Maitra; Brian B Haab
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2020-06-12       Impact factor: 4.254

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