By Wayne M Koch
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Similarly, 72% of the adjacent tissue was predicted as aberrant. These data suggest that SELDI proteomic analysis can identify potential changes in the continuum from HNSCC to histologically benign tissue that otherwise would not be apparent on standard histology. 018), concluding that SELDI proteomic proﬁling could be a signiﬁcant adjunct to standard histopathologic diagnosis and may be useful in predicting clinical outcome. SELDI analysis and classiﬁcation algorithms have therefore been established by several groups to allow high throughput with robust sensitivity and speciﬁcity in differentiating serum samples between HNSCC patients and control patients.
Clin Exp Metastasis 19:319–326, 2002. 17. Wadsworth JT, Somers KD, Cazares LH, et al: Serum protein proﬁles to identify head and neck cancer. Clin Cancer Res 10(5):1625–1632, 2004. 18. Soltys SG, Le QT, Shi G, et al: The use of plasma surfaceenhanced laser desorption/ionization time-of-ﬂight mass spectrometry proteomic patterns for detection of head and neck squamous cell cancers. Clin Cancer Res 10(14):4806–4812, 2004. 19. Wadsworth JT, Somers KD, Stack BC, Jr, et al: Identiﬁcation of patients with head and neck cancer using serum protein proﬁles.
An example of the differential spectra obtained for one of the peaks identiﬁed in the analysis at 1469 m/z, which was later 25 Chapter 2 Molecular Proteomics in Early Detection of Head and Neck Cancer arb. u. 0 HNSCC Healthy smoker Control m/z 5065 m/z 5132 4900 4950 5000 5050 5100 5150 Figure 2-4. Detection of underexpressed peaks at m/z 5065 and m/z 5132 peak in head and neck squamous cell carcinoma (HNSCC) sera. Expanded view of averaged MALDITOF (matrix-assisted laser desorption/ionization-time of ﬂight) spectra for peak proﬁles at m/z 5064 and m/z 5132 in healthy normal (blue), healthy smoker (green), and HNSCC (red) sera.