Tulla Kiara A, Maker Ajay V
Department of Surgery, Division of Surgical Oncology, University of Illinois at Chicago, Chicago, IL, USA.
Department of Microbiology and Immunology, University of Illinois at Chicago, 835 S. Wolcott Ave. M/C 790, Chicago, IL, 60612, USA.
Langenbecks Arch Surg. 2018 Mar;403(2):151-194. doi: 10.1007/s00423-017-1644-z. Epub 2017 Dec 7.
Predicting the biologic behavior of intraductal papillary mucinous neoplasm (IPMN) remains challenging. Current guidelines utilize patient symptoms and imaging characteristics to determine appropriate surgical candidates. However, the majority of resected cysts remain low-risk lesions, many of which may be feasible to have under surveillance. We herein characterize the most promising and up-to-date molecular diagnostics in order to identify optimal components of a molecular signature to distinguish levels of IPMN dysplasia.
A comprehensive systematic review of pertinent literature, including our own experience, was conducted based on the PRISMA guidelines.
Molecular diagnostics in IPMN patient tissue, duodenal secretions, cyst fluid, saliva, and serum were evaluated and organized into the following categories: oncogenes, tumor suppressor genes, glycoproteins, markers of the immune response, proteomics, DNA/RNA mutations, and next-generation sequencing/microRNA. Specific targets in each of these categories, and in aggregate, were identified by their ability to both characterize a cyst as an IPMN and determine the level of cyst dysplasia.
Combining molecular signatures with clinical and imaging features in this era of next-generation sequencing and advanced computational analysis will enable enhanced sensitivity and specificity of current models to predict the biologic behavior of IPMN.
预测导管内乳头状黏液性肿瘤(IPMN)的生物学行为仍然具有挑战性。当前指南利用患者症状和影像学特征来确定合适的手术候选者。然而,大多数切除的囊肿仍为低风险病变,其中许多在监测下可能是可行的。我们在此描述最有前景和最新的分子诊断方法,以确定区分IPMN发育异常程度的分子特征的最佳组成部分。
根据PRISMA指南对相关文献进行全面系统的综述,包括我们自己的经验。
对IPMN患者组织、十二指肠分泌物、囊液、唾液和血清中的分子诊断进行了评估,并分为以下几类:癌基因、肿瘤抑制基因、糖蛋白、免疫反应标志物、蛋白质组学、DNA/RNA突变以及下一代测序/微小RNA。通过它们将囊肿表征为IPMN并确定囊肿发育异常程度的能力,确定了这些类别中每一类以及总体的特定靶点。
在这个下一代测序和先进计算分析的时代,将分子特征与临床和影像学特征相结合,将提高当前模型预测IPMN生物学行为的敏感性和特异性。