Suppr超能文献

高级别肉瘤的诊断与预后:通过质谱成像发现生物标志物

High-grade sarcoma diagnosis and prognosis: Biomarker discovery by mass spectrometry imaging.

作者信息

Lou Sha, Balluff Benjamin, de Graaff Marieke A, Cleven Arjen H G, Briaire-de Bruijn Inge, Bovée Judith V M G, McDonnell Liam A

机构信息

Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands.

Maastricht MultiModal Molecular Imaging Institute, Maastricht University, Maastricht, The Netherlands.

出版信息

Proteomics. 2016 Jun;16(11-12):1802-13. doi: 10.1002/pmic.201500514.

Abstract

The combination of high heterogeneity, both intratumoral and intertumoral, with their rarity has made diagnosis, prognosis of high-grade sarcomas difficult. There is an urgent need for more objective molecular biomarkers, to differentiate between the many different subtypes, and to also provide new treatment targets. Mass spectrometry imaging (MSI) has amply demonstrated its ability to identify potential new markers for patient diagnosis, survival, metastasis and response to therapy in cancer research. In this study, we investigated the ability of MALDI-MSI of proteins to distinguish between high-grade osteosarcoma (OS), leiomyosarcoma (LMS), myxofibrosarcoma (MFS) and undifferentiated pleomorphic sarcoma (UPS) (Ntotal = 53). We also investigated if there are individual proteins or protein signatures that are statistically associated with patient survival. Twenty diagnostic protein signals were found characteristic for specific tumors (p ≤ 0.05), amongst them acyl-CoA-binding protein (m/z 11 162), macrophage migration inhibitory factor (m/z 12 350), thioredoxin (m/z 11 608) and galectin-1 (m/z 14 633) were assigned. Another nine protein signals were found to be associated with overall survival (p ≤ 0.05), including proteasome activator complex subunit 1 (m/z 9753), indicative for non-OS patients with poor survival; and two histone H4 variants (m/z 11 314 and 11 355), indicative of poor survival for LMS patients.

摘要

高度异质性(包括肿瘤内和肿瘤间异质性)与高分级肉瘤的罕见性相结合,使得高分级肉瘤的诊断和预后评估变得困难。迫切需要更多客观的分子生物标志物,以区分众多不同的亚型,并提供新的治疗靶点。在癌症研究中,质谱成像(MSI)已充分证明其能够识别用于患者诊断、生存、转移及对治疗反应的潜在新标志物。在本研究中,我们调查了蛋白质基质辅助激光解吸电离质谱成像(MALDI-MSI)区分高分级骨肉瘤(OS)、平滑肌肉瘤(LMS)、黏液纤维肉瘤(MFS)和未分化多形性肉瘤(UPS)(总数N = 53)的能力。我们还研究了是否存在与患者生存具有统计学关联的单个蛋白质或蛋白质特征。发现20种诊断性蛋白质信号对特定肿瘤具有特征性(p≤0.05),其中包括酰基辅酶A结合蛋白(质荷比11 162)、巨噬细胞迁移抑制因子(质荷比12 350)、硫氧还蛋白(质荷比11 608)和半乳糖凝集素-1(质荷比14 633)。另外发现9种蛋白质信号与总生存相关(p≤0.05),包括蛋白酶体激活复合物亚基1(质荷比9753),提示生存较差的非骨肉瘤患者;以及两种组蛋白H4变体(质荷比11 314和11 355),提示平滑肌肉瘤患者生存较差。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验