A Combined DNA/RNA-based Next-Generation Sequencing Platform to Improve the Classification of Pancreatic Cysts and Early Detection of Pancreatic Cancer Arising From Pancreatic Cysts

Author:

Nikiforova Marina N.1,Wald Abigail I.1,Spagnolo Daniel M.1,Melan Melissa A.1,Grupillo Maria1,Lai Yi-Tak1,Brand Randall E.2,O’Broin-Lennon Anne Marie3,McGrath Kevin2,Park Walter G.4,Pfau Patrick R.5,Polanco Patricio M.6,Kubiliun Nisa7,DeWitt John8,Easler Jeffrey J.8,Dam Aamir9,Mok Shaffer R.9,Wallace Michael B.1011,Kumbhari Vivek10,Boone Brian A.12,Marsh Wallis12,Thakkar Shyam13,Fairley Kimberly J.13,Afghani Elham3,Bhat Yasser14,Ramrakhiani Sanjay14,Nasr John15,Skef Wasseem16,Thiruvengadam Nikhil R.16,Khalid Asif2,Fasanella Kenneth2,Chennat Jennifer2,Das Rohit2,Singh Harkirat2,Sarkaria Savreet2,Slivka Adam2,Gabbert Charles2,Sawas Tarek7,Tielleman Thomas7,Vanderveldt Hendrikus Dutch7,Tavakkoli Anna7,Smith Lynette M.17,Smith Katelyn1,Bell Phoenix D.1,Hruban Ralph H.18,Paniccia Alessandro19,Zureikat Amer19,Lee Kenneth K.19,Ongchin Melanie19,Zeh Herbert20,Minter Rebecca21,He Jin22,Nikiforov Yuri E.1,Singhi Aatur D.1

Affiliation:

1. Department of Pathology, University of Pittsburgh Medical Center, Pittsburgh, PA

2. Department of Medicine, University of Pittsburgh Medical Center, Pittsburgh, PA

3. The Sol Goldman Pancreatic Cancer Research Center, Department of Medicine, Johns Hopkins Medical Institutions, Baltimore, MD

4. Department of Medicine, Stanford University, Stanford, CA

5. Department of Medicine, University of Wisconsin, Madison, WI

6. Department of Surgery, University of Texas Southwestern Medical Center, Dallas, TX

7. Department of Medicine, University of Texas Southwestern Medical Center, Dallas, TX

8. Department of Gastroenterology and Hepatology, Indiana University Health Medical Center, Indianapolis, IN

9. Department of Gastrointestinal Oncology, Moffitt Cancer Center, Tampa, FL

10. Division of Gastroenterology and Hepatology, Department of Medicine, Mayo Clinic, Jacksonville, FL

11. Sheikh Shakhbout Medical City, Abu Dhabi, UAE

12. Department of Surgery, West Virginia University Health Sciences Center, Morgantown, WV

13. Department of Medicine, Section of Gastroenterology & Hepatology, West Virginia University Health Sciences Center, Morgantown, WV

14. Department of Gastroenterology, Palo Alto Medical Foundation (PAMF), Mountain View, CA

15. Department of Medicine, Wheeling Hospital, West Virginia University Health Sciences Center, Morgantown, WV

16. Division of Gastroenterology and Hepatology, Department of Medicine, Loma Linda University Medical Center, Loma Linda, CA

17. Department of Biostatistics, College of Public Health, University of Nebraska Medical Center, Omaha, NE

18. The Sol Goldman Pancreatic Cancer Research Center, Department of Pathology, Johns Hopkins Medical Institutions, Baltimore, MD

19. Department of Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA

20. Department of Clinical Sciences, Surgery, University of Texas Southwestern, Dallas, TX

21. Department of Surgery, University of Wisconsin, Madison, WI

22. The Sol Goldman Pancreatic Cancer Research Center, Department of Surgery, Johns Hopkins Medical Institutions, Baltimore, MD

Abstract

Objective: We report the development and validation of a combined DNA/RNA next-generation sequencing (NGS) platform to improve the evaluation of pancreatic cysts. Background and Aims: Despite a multidisciplinary approach, pancreatic cyst classification, such as a cystic precursor neoplasm, and the detection of high-grade dysplasia and early adenocarcinoma (advanced neoplasia) can be challenging. NGS of preoperative pancreatic cyst fluid improves the clinical evaluation of pancreatic cysts, but the recent identification of novel genomic alterations necessitates the creation of a comprehensive panel and the development of a genomic classifier to integrate the complex molecular results. Methods: An updated and unique 74-gene DNA/RNA-targeted NGS panel (PancreaSeq Genomic Classifier) was created to evaluate 5 classes of genomic alterations to include gene mutations (e.g., KRAS, GNAS, etc.), gene fusions and gene expression. Further, CEA mRNA (CEACAM5) was integrated into the assay using RT-qPCR. Separate multi-institutional cohorts for training (n=108) and validation (n=77) were tested, and diagnostic performance was compared to clinical, imaging, cytopathologic, and guideline data. Results: Upon creation of a genomic classifier system, PancreaSeq GC yielded a 95% sensitivity and 100% specificity for a cystic precursor neoplasm, and the sensitivity and specificity for advanced neoplasia were 82% and 100%, respectively. Associated symptoms, cyst size, duct dilatation, a mural nodule, increasing cyst size, and malignant cytopathology had lower sensitivities (41–59%) and lower specificities (56–96%) for advanced neoplasia. This test also increased the sensitivity of current pancreatic cyst guidelines (IAP/Fukuoka and AGA) by >10% and maintained their inherent specificity. Conclusions: PancreaSeq GC was not only accurate in predicting pancreatic cyst type and advanced neoplasia but also improved the sensitivity of current pancreatic cyst guidelines.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Surgery

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