Identification of serum protein of prostate cancer with osseous metastasis / 肿瘤研究与临床
Cancer Research and Clinic
; (6): 197-200, 2011.
Article
in Zh
| WPRIM
| ID: wpr-413387
Responsible library:
WPRO
ABSTRACT
Objective To identify the biomarkers which can be used of estimating the biological behaviors of prostate cancer with osseous metastasis by SELDI-TOF-MS. Methods Screening for potential tumor biomarkers of serum samples from 19 prostate cancer patients and 35 prostate cancer patients with osseous metastasis by using the technology of SELDI-TOF-MS and CM 10 protein chips (Ciphergen Inc. USA).The PBS Ⅱ protein chip reader was used to analyze the CM10 protein chips and transform the protein information into the form of spectra. The protein contents of two groups in the same mass-to-charge ratio (M/Z value) were analyzed and preceded the analysis of variance by Biomarker Wizard software. The proteins whose contents in serum were significantly different, which was distinguished the correctly groups by Biomarker Pattern software. Results The contents of 4 proteins in the two groups were significantly different and the M/Z values of these 6 proteins were from 2000 to 20 000. The relative protein content of prostate cancer patients group was higher than that of Prostate Cancer patients with osseous metastasis group at the M/Z value of 2089,4281, 3507 and 4178 [(4.63±8.03) vs (9.88±10.77), (19.78±21.46) vs (26.73±19.41), (5.46±10.14) vs (8.10±8.74), (38.01 ±26.27) vs (45.25±20.40), (P<0.05)]. The relative protein content of prostate cancer patients group was lower than that of prostate cancer patients with osseous metastasis group at the M/Z value of 15 900 and 16 081 [(11.52±16.80) vs (4.84±5.83), (8.55±12.64) vs (3.56±3.90), (P<0.05)]. Conclusion The associated serum protein in prostate cancer with osseous metastasis can be quickly and exactly diagnosed by SELDI-TOF-MS with high sensitivity and specificity. This new method will be widely used in clinical application.
Full text:
1
Index:
WPRIM
Type of study:
Diagnostic_studies
Language:
Zh
Journal:
Cancer Research and Clinic
Year:
2011
Type:
Article