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蛋白质组学和糖组学生物标志物在胰腺癌诊断、预后和预测中的临床观点。

Clinical Perspective on Proteomic and Glycomic Biomarkers for Diagnosis, Prognosis, and Prediction of Pancreatic Cancer.

机构信息

Department of Surgery, Leiden University Medical Center, 2300 RC Leiden, The Netherlands.

Center of Proteomics and Metabolomics, Leiden University Medical Center, 2300 RC Leiden, The Netherlands.

出版信息

Int J Mol Sci. 2021 Mar 6;22(5):2655. doi: 10.3390/ijms22052655.

Abstract

Pancreatic ductal adenocarcinoma (PDAC) is known as a highly aggressive malignant disease. Prognosis for patients is notoriously poor, despite improvements in surgical techniques and new (neo)adjuvant chemotherapy regimens. Early detection of PDAC may increase the overall survival. It is furthermore foreseen that precision medicine will provide improved prognostic stratification and prediction of therapeutic response. In this review, omics-based discovery efforts are presented that aim for novel diagnostic and prognostic biomarkers of PDAC. For this purpose, we systematically evaluated the literature published between 1999 and 2020 with a focus on protein- and protein-glycosylation biomarkers in pancreatic cancer patients. Besides genomic and transcriptomic approaches, mass spectrometry (MS)-based proteomics and glycomics of blood- and tissue-derived samples from PDAC patients have yielded new candidates with biomarker potential. However, for reasons discussed in this review, the validation and clinical translation of these candidate markers has not been successful. Consequently, there has been a change of mindset from initial efforts to identify new unimarkers into the current hypothesis that a combination of biomarkers better suits a diagnostic or prognostic panel. With continuing development of current research methods and available techniques combined with careful study designs, new biomarkers could contribute to improved detection, prognosis, and prediction of pancreatic cancer.

摘要

胰腺导管腺癌 (PDAC) 是一种高度侵袭性的恶性疾病。尽管手术技术的改进和新的 (新辅助) 化疗方案的出现,但患者的预后仍然很差。早期发现 PDAC 可能会提高总体生存率。此外,预计精准医学将提供改善的预后分层和治疗反应预测。在这篇综述中,我们介绍了基于组学的发现工作,旨在寻找 PDAC 的新型诊断和预后生物标志物。为此,我们系统地评估了 1999 年至 2020 年期间发表的文献,重点关注胰腺癌患者的蛋白质和蛋白质糖基化生物标志物。除了基因组和转录组方法外,基于质谱 (MS) 的 PDAC 患者血液和组织来源样本的蛋白质组学和糖组学也产生了具有潜在生物标志物的新候选物。然而,由于本文中讨论的原因,这些候选标志物的验证和临床转化尚未成功。因此,人们的思维方式已经从最初识别新的单一标志物的努力转变为当前的假设,即组合生物标志物更适合诊断或预后面板。随着现有研究方法和可用技术的不断发展以及精心设计的研究,新的生物标志物可能有助于提高对胰腺癌的检测、预后和预测。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0fcb/7961509/5412c0c73f49/ijms-22-02655-g001.jpg

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