Article

New serum biomarkers for detection of esophageal carcinoma using Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry.

Department of Clinical Laboratory, The First Affiliated Hospital of Medical College, Zhejiang University, Hangzhou, China.
Journal of Cancer Research and Clinical Oncology (impact factor: 2.56). 03/2011; 137(3):513-9. DOI:10.1007/s00432-010-0899-3 pp.513-9
Source: PubMed

ABSTRACT To screen for the potential protein biomarkers in serum for the diagnosis of esophageal carcinoma (EC) using proteomic fingerprint technology.
Proteomic fingerprint technology combining magnetic beads with MALDI-TOF-MS was used to profile and compare the serum proteins from 78 patients with EC and 95 healthy blood donors. Proteomic patterns associated with EC were identified by Biomarker Patterns Software. Model of biomarkers was constructed and evaluated using the Biomarker Patterns Software.
A total of 60 discriminating m/z peaks were identified that were related to EC (P < 0.01). The model of biomarkers constructed by the Biomarker Patterns Software based on the four biomarkers (2049.6, 3936.5, 5339.9, and 13748.8 Da) generated excellent separation between the EC and control groups. The sensitivity was 92.5% and the specificity was 88%. Blind test data indicated a sensitivity of 89.5% and a specificity of 84.4%.
Biomarkers for EC can be discovered in serum by MALDI-TOF-MS combining the use of magnetic beads. The pattern of combined markers provides a powerful and reliable diagnostic method for EC with a high sensitivity and specificity.

0 0
 · 
0 Bookmarks
 · 
29 Views
  • Source
    Article: Usefulness of serum mass spectrometry to identify women diagnosed with higher grades of cervical intraepithelial neoplasia may differ by race.
    Roland Matthews, Andres Azuero, Senait Asmellash, Earl Brewster, Edward E Partridge, Chandrika J Piyathilake
    [show abstract] [hide abstract]
    ABSTRACT: An early detection of precursor lesions of cervical cancer will help to eliminate the worldwide burden of cervical cancer. This exploratory study aimed to identify, by matrix-assisted laser desorption/ionization (MALDI) time-of-flight (TOF) mass spectrometry (MS), serum protein profiles that distinguish cervical intraepithelial neoplasia grades CIN 1 or lower (≤CIN 1) from CIN 2+ among 127 women infected with human papillomavirus (HPV) 16. Of these 127 women, 25 and 23 were diagnosed with CIN 2 or CIN 3, respectively (cases), and 79 were diagnosed with ≤CIN 1 (non-cases). Serum protein profiles were generated by MALDI-TOF-MS. A total of 95 m/z peaks were tested for association with case status by two racial groups, African American (AAs) and Caucasian American (CAs). Overall, 2 protein peaks identified by our study demonstrated higher specificity for identifying CIN 2+ than previously published studies. An increasing intensity of [m/z 4459] was associated with a higher risk of being a case, regardless of race with a specificity of 58% for CIN 2 and a specificity of 75% for CIN 3. An increasing intensity of [m/z 4154] was not only associated with a higher risk of being a case only among CAs, but also had an opposite effect among AAs. Identification of specific proteins associated with the peaks detected in serum and development of antibody-based tests such as ELISA should lead to the development of race-specific, non-invasive and cost effective screening tests with higher specificity for identifying HPV 16 associated CIN 2+.
    International Journal of Women's Health 01/2011; 3:185-92.
Data provided are for informational purposes only. Although carefully collected, accuracy cannot be guaranteed. The impact factor represents a rough estimation of the journal's impact factor and does not reflect the actual current impact factor. Publisher conditions are provided by RoMEO. Differing provisions from the publisher's actual policy or licence agreement may be applicable.

Keywords

60 discriminating m/z peaks
 
78 patients
 
95 healthy blood donors
 
Biomarker Patterns Software
 
Blind test data
 
control groups
 
EC
 
esophageal carcinoma
 
excellent separation
 
magnetic beads
 
MALDI-TOF-MS
 
potential protein biomarkers
 
powerful
 
Proteomic fingerprint technology
 
Proteomic patterns
 
reliable diagnostic method
 
serum proteins
 
specificity
 

Renyong Guo