Serum peptidomic biomarkers for pulmonary metastatic melanoma identified by means of a nanopore-based assay.
Serum peptidomic biomarkers for pulmonary metastatic melanoma identified by means of a nanopore-based assay.
复制标题
通过基于纳米孔的测定法确定的肺部转移性黑色素瘤的血清肽组生物标志物。
DOI：
10.1016/j.canlet.2012.11.011
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发表时间：
2013-07-01
期刊：
影响因子：
9.7
通讯作者：
Hu, Ye
中科院分区：
文献类型：
--
作者：
Fan, Jia;Huang, Yi;Finoulst, Inez;Wu, Hung-jen;Deng, Zaian;Xu, Rong;Xia, Xiaojun;Ferrari, Mauro;Shen, Haifa;Hu, Ye
关键词：
与转移性黑色素瘤相关的显著死亡率（超过了原发性肿瘤导致的死亡人数）主要是由于诊断不佳和对全身治疗的耐药性增加。因此，侵袭性黑色素瘤的早期检测和治疗对于提高生存率至关重要。低分子量蛋白质和肽作为生物标志物候选物已经引起了极大的兴趣，因为它们可能代表体内病理状况的快照，并且通过扩展，作为一个整体的生物体。我们已经开发了一种基于纳米多孔二氧化硅的平台，用于分离低分子量和高分子量蛋白质部分，以帮助使用质谱法检测血清样品中的肽。将样品处理与我们的平台、MALDI-TOF MS和随后的生物统计学分析相结合，发现并鉴定了27种肽，这些肽是与肺转移性黑色素瘤发展相关的潜在生物标志物。我们坚信我们的研究结果可以帮助发现阶段特异性肽特征，并为患有肺转移性黑色素瘤的患者提供更特异和个性化的治疗。
The significant mortality rate associated with metastatic melanoma, which exceeds the number of deaths attributed to the primary tumor, is primarily due to poor diagnosis and increased resistance to systemic therapy. Early detection and treatment of invasive melanoma are therefore crucial to increase survival rates. Low molecular weight proteins and peptides have garnered significant interest as biomarker candidates as they potentially represent a snap shot of pathological condition within the body and, by extension, the organism as a whole. We have developed a nanoporous silica-based platform to segregate the low molecular weight from the high molecular weight protein fraction to aid in the detection of peptides from serum samples using mass spectrometry. The combination of sample treatment with our platform, MALDI-TOF MS and following biostatistical analysis led to the discovery and identification of 27 peptides that are potential biomarkers associated with the development of pulmonary metastatic melanoma. We strongly believe our findings can assist to discover stage-specific peptide signatures and lead to more specific and personalized treatments for patients suffering from pulmonary metastatic melanoma.
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影响因子：
3.6
作者：
Knol, Anne C.;Nguyen, Jean M.;Dreno, Brigitte
通讯作者：
Dreno, Brigitte
影响因子：
6.7
作者：
Hu Y;Peng Y;Lin K;Shen H;Brousseau LC 3rd;Sakamoto J;Sun T;Ferrari M
通讯作者：
Ferrari M
DOI：
10.1155/2011/181890
发表时间：
2011-01-01
期刊：
International journal of proteomics
影响因子：
--
作者：
Sabel, Michael S;Liu, Yashu;Lubman, David M
通讯作者：
Lubman, David M
DOI：
10.1098/rsta.2011.0444
发表时间：
2012-05-28
期刊：
Philosophical transactions. Series A, Mathematical, physical, and engineering sciences
影响因子：
--
作者：
Fan J;Deng X;Gallagher JW;Huang H;Huang Y;Wen J;Ferrari M;Shen H;Hu Y
通讯作者：
Hu Y
影响因子：
3.6
作者：
Longo C;Gambara G;Espina V;Luchini A;Bishop B;Patanarut AS;Petricoin EF 3rd;Beretti F;Ferrari B;Garaci E;De Pol A;Pellacani G;Liotta LA
通讯作者：
Liotta LA