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基于临床、病理和分子特征的胰腺神经内分泌肿瘤风险分层

Risk Stratification of Pancreatic Neuroendocrine Neoplasms Based on Clinical, Pathological, and Molecular Characteristics.

作者信息

Choi Jin Ho, Paik Woo Hyun

机构信息

Department of Internal Medicine, Seoul National University Hospital, Seoul 03080, Republic of Korea.

出版信息

J Clin Med. 2022 Dec 15;11(24):7456. doi: 10.3390/jcm11247456.

Abstract

Pancreatic neuroendocrine neoplasms consist of heterogeneous diseases. Depending on the novel features detected by various modern technologies, their classification and related prognosis predictions continue to change and develop. The role of traditional clinicopathological prognostic factors, including classification systems, is also being refined, and several attempts have been made to predict a more accurate prognosis through novel serum biomarkers, genetic factors, and epigenetic factors that have been identified through various state-of-the-art molecular techniques with multiomics sequencing. In this review article, the latest research results including the traditional approach to prognostic factors and recent advanced strategies for risk stratification of pancreatic neuroendocrine neoplasms based on clinical, pathological, and molecular characteristics are summarized. Predicting prognosis through multi-factorial assessments seems to be more efficacious, and prognostic factors through noninvasive methods are expected to develop further advances in liquid biopsy in the future.

摘要

胰腺神经内分泌肿瘤由多种异质性疾病组成。根据各种现代技术检测到的新特征,它们的分类及相关预后预测不断变化和发展。包括分类系统在内的传统临床病理预后因素的作用也在不断完善,人们已进行了多次尝试,通过各种先进的多组学测序分子技术鉴定出的新型血清生物标志物、遗传因素和表观遗传因素来预测更准确的预后。在这篇综述文章中,总结了包括传统预后因素方法以及基于临床、病理和分子特征对胰腺神经内分泌肿瘤进行风险分层的最新先进策略等最新研究成果。通过多因素评估预测预后似乎更有效,未来有望通过非侵入性方法的预后因素在液体活检方面取得进一步进展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cccc/9786745/2484240197e2/jcm-11-07456-g001.jpg

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