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蛋白质组学组织分析改善非浸润性乳头状尿路上皮肿瘤分级。

Proteomic tissue profiling for the improvement of grading of noninvasive papillary urothelial neoplasia.

机构信息

Institute of Pathology, RWTH Aachen University Hospital, Aachen, Germany.

出版信息

Clin Biochem. 2012 Jan;45(1-2):7-11. doi: 10.1016/j.clinbiochem.2011.09.013. Epub 2011 Oct 2.

Abstract

OBJECTIVES

In 2004, a novel grading system for papillary non-invasive bladder cancer was introduced; low grade (LG) and high grade (HG) in lieu of the former G1, G2, G3. This change allowed for increased reproducibility as well as diminished interobserver variability in histopathological grading among individual pathologists. Matrix Assisted Laser Desorption/Ionization Time of Flight Imaging Mass Spectrometry (MALDI TOF IMS) was evaluated as an automatic and objective tool to assist grading of urothelial neoplasms and to facilitate accuracy.

DESIGN AND METHODS

To separate G1 (LG, n=27) and G3 (HG, n=21) papillary tumors MALDI TOF IMS was performed using an appropriate algorithm. Thereafter, the automatic assignment of a separate G2 (n=31) group was completed.

RESULTS

G1 (LG) and G3 (HG) tumors were separated with an overall cross validation of 97.18%. G2 tumors indicated a true positive rate of 78.3% for LG and 87.5% for HG, respectively.

CONCLUSIONS

MALDI TOF IMS is a powerful support tool to ascertain pathological diagnosis/grading.

摘要

目的

2004 年,引入了一种新的用于非浸润性膀胱乳头状癌的分级系统;用低级别(LG)和高级别(HG)替代以前的 G1、G2、G3。这一变化提高了病理分级的可重复性,同时减少了个别病理学家之间在组织病理学分级方面的观察者间变异性。基质辅助激光解吸/电离飞行时间成像质谱(MALDI-TOF IMS)被评估为一种自动和客观的工具,以辅助尿路上皮肿瘤的分级,并提高准确性。

设计与方法

为了分离 G1(LG,n=27)和 G3(HG,n=21)乳头状肿瘤,使用适当的算法进行 MALDI-TOF IMS。然后,完成了单独的 G2(n=31)组的自动分配。

结果

G1(LG)和 G3(HG)肿瘤的总体交叉验证率为 97.18%。G2 肿瘤对 LG 的真阳性率为 78.3%,对 HG 的真阳性率为 87.5%。

结论

MALDI-TOF IMS 是一种强大的辅助工具,可用于确定病理诊断/分级。

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