Dissertation > Excellent graduate degree dissertation topics show

Identification of Serum Biomarkers for Nasopharyngeal Carcinama by Using Surface Enhanced Laser Desorption/Ionization Time-of-Flight Mass Spectrometry and Establishment of the Diagnostic Model

Author: XuanChao
Tutor: HuangYuanZuo
School: Guangxi Medical University
Course: Biochemistry and Molecular Biology
Keywords: nasopharyngeal carcinoma surface-enhancedlaserdesorption/ionization time-of-flightmassspectrometry protein chips serum protein finger printing diagnostic model blind test set
CLC: R739.63
Type: Master's thesis
Year: 2009
Downloads: 32
Quote: 0
Read: Download Dissertation

Abstract


Purpose:To screen a suitable protein chip from four kinds of chips :Weak Cationic Exchanger CM10 chip,Immobilized Metal Affinity Capture IMAC-Cu chip,Reversed Phase or Hydrophobic H50 chip and Strong Anionic Exchanger Q10 chip .To provide a new method of finding biomakers of NPC,While establish the diagnostic model of NPC and provide a new and simple way for NPC early diagnosis.Methods:1) Serum samples from 4 cases of NPC and 4 cases of noncancer controls were collected respectively. Special protein or peptide spectras were detected by SELDI-TOF MS measurement after treating the samples onto four kinds of protein chips CM10,IMAC-Cu,H50 and Q10 for each case. According to the protein profiling results, screen the suitable protein chips.2) Serum samples were collected from 24 cases of NPC,24 cases of noncancer controls. The samples were profiled by SELDI-TOF MS measurement with CM10 chips. Biomarker Wizard software was used to analyze the proteomic profiles and screened NPC-related differences with proteins; Biomarker Pattern software was used to construct the diagnostic model. The validity of the diagnostic model was then challenged with a blind test set including another 32 serum samples.Results:1) Analysis of serum protein fingerprints showed CM10 chip combined more proteins which showed higher intensity in peaks than other three chips.So we chosed this chip to screen NPC-related differences with proteins and construct the diagnostic model.2) The Biomarker Wizard softerware get 94 protein pesks in CM10 chip,among them 26 show the difference obviously in the two groups. Compared with the normal people group, 5 proteins were up-regulated expressed and 21 down-regulated expressed. Useing M/Z 3159.83、5187.65、13738.6 protein pesks , a modle was built. In the training set of the modle that discriminated cancer from noncancer with sensitivity of 91.66% and specificity of 95.83%. In the learning set that discriminated cancer from noncancer with sensitivity of 87.5% and specificity of 95.83%. When the diagnostic model was challenged with a blind test set, it yielded a sensitivity of 95.00%, a specificity of 83.33%, and an accuracy rate of 90.63%. Conclusions:1) Each chip can combine with different species of serum proteins.CM10 chip can combine more differentiated proteins.2) There are differences among the group of NPC and noncancer controls in serum protein finger printing.3) The results suggest that SELDI-TOF-MS technology is a good platform for screening NPC-related differences with proteins.

Related Dissertations

  1. The System-Level Fault Diagnosis Based on Artificial Immune Method,TP338.6
  2. The Study on Urine Protein Fingerprinting for the Diagnosis of Renal Tuberculosis,R527.1
  3. The Urban Forest System Diagnostics of Changsha City,S731.2
  4. Network location detection mechanism Fault Management Research and Implementation,TN915.06
  5. A Exploratory Research of the Clinical Model to Estimate the Proability of Malignancy in Patients with Solidary Pulmonary Nodule,R816.4
  6. Analysis of Protein Patterns in Serum from Patients with Colorectal Cancer by SELDI-TOF-MS,R735.34
  7. About three diagnostic model of social value,TP301.1
  8. Based on gas chromatography - mass spectrometry metabolomics research methods and techniques used in HCC diagnosis of gastrointestinal tumors,R735
  9. Serum protein profiling combined with artificial neural network diagnosis of esophageal cancer pathological differentiation model of applied research,R735.1
  10. Establishment and Analysis of Serum Protein Fingerprint Patterns for Human Breast Cancer by MALDI-TOF MS,R737.9
  11. Serum protein fingerprint diagnostic model in renal cell carcinoma and clinical significance of the application,R737.11
  12. Algorithm Research of Economic Load Dispatch and Diagnosis Model of Boiler Efficiency in Power Plant,TM621
  13. Pulverized coal flame stability and flame Comprehensive Evaluation Model,TK227.1
  14. To Compare the Differents Imageological in Nasopharyngeal Carcinoma of IMRT and to Observe the Short-term Clinical,R739.63
  15. Research on Electromyography of Tensor Veli Palatini in Nasopharyngeal Carcinoma Post-Irradiation Patients with Secretory Otitis Media,R764
  16. Recurrent nasopharyngeal IMRT program design,R739.63
  17. Screen for Tissue Different Proteomic in AFB1-Related Hepatocellular Carcinoma from Guangxi,R735.7
  18. Detection of EBV-MLP1 Antibodies in Sera and Clinical Significance in the Patients with Nasopharyngeal Carcinoma,R739.63
  19. Clinical Study on Effect of Zengye Fluid to Xerostomia in Patients with Nasopharyngeal Carcinoma after Radiation Therapy and the Quantititive Evaluation of Salivary Gland Funtion by SPECT Radioactive Dynamic Imaging,R739.63
  20. VEGF-C, Ki67, nm23-H1 in nasopharyngeal primary tumor expression and its relationship with prognosis studies,R739.63

CLC: > Medicine, health > Oncology > Department of Otolaryngology tumor > Pharyngeal tumors
© 2012 www.DissertationTopic.Net  Mobile