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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

医学 胰腺癌 导管内乳头状粘液性肿瘤 囊肿 胰腺 克拉斯 胰管 DNA测序 病理 基因 计算生物学 内科学 癌症 生物 遗传学 结直肠癌
作者
Marina N. Nikiforova,Abigail I. Wald,Daniel M. Spagnolo,Melissa A. Melan,Maria Grupillo,Yi-Tak Lai,Randall E. Brand,Anne Marie O’Broin-Lennon,Kevin McGrath,Walter G. Park,Patrick R. Pfau,Patricio M. Polanco,Nisa Kubiliun,John DeWitt,Jeffrey J. Easler,Aamir Dam,Shaffer R. Mok,Michael B. Wallace,Vivek Kumbhari,Brian A. Boone,Wallis Marsh,Shyam Thakkar,Kimberly J. Fairley,Elham Afghani,Yasser Bhat,Sanjay Ramrakhiani,John Nasr,Wasseem Skef,Nikhil R. Thiruvengadam,Asif Khalid,Kenneth Fasanella,Jennifer Chennat,Rohit Das,Harkirat Singh,Savreet Sarkaria,Adam Slivka,Charles Gabbert,Tarek Sawas,Thomas Tielleman,Hendrikus Dutch Vanderveldt,Anna Tavakkoli,Lynette M. Smith,Katelyn Smith,Phoenix D. Bell,Ralph H. Hruban,Alessandro Paniccia,Amer Zureikat,Kenneth K. Lee,Melanie Ongchin,Herbert Zeh,Rebecca Minter,Jin He,Yuri E. Nikiforov,Aatur D. Singhi
出处
期刊:Annals of Surgery [Lippincott Williams & Wilkins]
卷期号:Publish Ahead of Print
标识
DOI:10.1097/sla.0000000000005904
摘要

We report the development and validation of a combined DNA/RNA next-generation sequencing (NGS) platform to improve the evaluation of pancreatic cysts.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. Next-generation sequencing 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.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 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.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 was 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.Combined DNA/RNA NGS was not only accurate in predicting pancreatic cyst type and advanced neoplasia, but also improved the sensitivity of current pancreatic cyst guidelines.

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