A diagnostic model of cerebrospinal protein fingerprint pattern for brain metastases of non-small cell lung cancer.
- Author:
Song-xi XIE
1
;
Wei-xiong LI
;
Yu-juan HUANG
;
Jiang-guang CHEN
;
Yi-long WU
Author Information
- Publication Type:Journal Article
- MeSH: Adult; Aged; Brain Neoplasms; cerebrospinal fluid; diagnosis; secondary; Carcinoma, Non-Small-Cell Lung; cerebrospinal fluid; diagnosis; pathology; secondary; Cerebrospinal Fluid Proteins; genetics; Decision Trees; Early Detection of Cancer; Female; Gene Expression Profiling; Humans; Lung Neoplasms; cerebrospinal fluid; diagnosis; pathology; Male; Middle Aged; Peptide Mapping; Sensitivity and Specificity; Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization
- From: Journal of Southern Medical University 2010;30(3):498-501
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVETo establish a diagnostic model of protein fingerprint pattern in the cerebrospinal fluid (CSF) for non-small-cell lung cancer (NSCLC) patients with brain metastases.
METHODSThe CSF samples were obtained from 29 NSCLC patients with brain metastasis, 23 non-tumor patients and 10 early-stage NSCLC patients without brain metastases for analysis of the protein expression profiles using surface-enhanced laser desorption/ionization-time of flight-mass spectrometry (SELDI-TOF-MS). The data were then analyzed by Biomarker Wizard software, and the tree analysis patterns were generated using the decision-tree model in Biomarker Patterns software. The diagnostic model was tested for its clinical application.
RESULTSFive protein peaks were identified showing differential expression between patients with brain metastases and those without brain metastases. Combination of the 3 protein peaks (m/z: 8698.00, 1215.32 and 1245.70) could discriminate these two samples with a sensitivity of 100.00% (29/29) and a specificity of 100.00% (23/23). Five proteins were differentially expressed between the NSCLC patients with brain metastases and the non-tumor patients. With one protein peak (m/z: 6050.00), these two samples could be discriminated with a sensitivity of 90.00% (9/10) and a specificity of 78.26% (18/23).
CONCLUSIONThe established diagnostic model of CSF protein fingerprint pattern provides high sensitivity and specificity in the diagnosis of NSCLC with brain metastasis.
