Title :
A preliminary non-invasive salivary proteomics diagnostic model for TCM syndrome differentiation in thyroid cancer based on SELDI and bioinformatics techniques
Author :
Kehuan, Sun ; Zhengzhi, Wu ; Meiqun, Cao ; Xiaoli, Zhang ; Yinghong, Li ; Anming, Wu ; Yu, Jin ; Zhibin, Rong
Author_Institution :
Shenzhen Inst. of Geriatric Med., Jinan Univ., Shenzhen, China
Abstract :
Objective: To investigate the difference of salivary protein mass spectrum between different traditional Chinese medicine (TCM) syndromes of thyroid cancer and establish a diagnostic model to provide an objective base for TCM syndrome of thyroid cancer. Methods: Salivary protein fingerprints of 49 thyroid cancer patients (23 cases of phlegm and blood stasis syndrome, and 26 cases of liver qi stagnation) were detected by SELDI-TOF-MS (Surface enhanced laser desorption/ionization time-of-flight mass spectrometry). And a diagnostic model was established with the help of bioinformatics. Results: Through the comparison of salivary protein fingerprints from the two groups, 29 protein peaks showed significant difference (P<;0.01). M/Z 3809.85, 3110.04, 4970.80 were selected to construct the optimal decision-tree model. In the test group, accuracy was 85.7% (42/49), sensitivity 84.6% (22/46), and specificity 86.9% (20/23). Conclusion: A preliminary model for TCM syndrome differentiation of thyroid cancer - salivary protein fingerprint - was established, which may provide a novel method and approach to the investigation of the essence of TCM syndromes.
Keywords :
bioinformatics; blood; cancer; decision trees; liver; patient diagnosis; proteins; proteomics; time of flight mass spectra; SELDI-TOF-MS; TCM syndrome differentiation; bioinformatics techniques; blood stasis syndrome; liver qi stagnation; noninvasive salivary proteomics diagnostic model; optimal decision tree model; phlegm; salivary protein fingerprints; salivary protein mass spectrum; surface enhanced laser desorption-ionization time of flight mass spectrometry; thyroid cancer; traditional Chinese medicine syndrome; Biological system modeling; Cancer; Fingerprint recognition; Medical diagnostic imaging; Proteins; Proteomics; Sensitivity; Proteomics; SELDI-TOF-MS (Surface enhanced laser desorption/ionization time-of-flight mass spectrometry); Saliva; TCM symptoms; Thyroid cancer;
Conference_Titel :
IT in Medicine and Education (ITME), 2011 International Symposium on
Conference_Location :
Cuangzhou
Print_ISBN :
978-1-61284-701-6
DOI :
10.1109/ITiME.2011.6130887