Objectives: To detect the serum proteomic patterns by using SELDI-TOF-MS (surface enhanced laser desorption/ ionization-time of flight-mass spectrometry) technology and CM10 ProteinChip in colorectal cancer (CRC)...Objectives: To detect the serum proteomic patterns by using SELDI-TOF-MS (surface enhanced laser desorption/ ionization-time of flight-mass spectrometry) technology and CM10 ProteinChip in colorectal cancer (CRC) patients, and to evaluate the significance of the proteomic patterns in the tumour staging of colorectal cancer. Methods: SELDI-TOF-MS and CM10 ProteinChip were used to detect the serum proteomic patterns of 76 patients with colorectal cancer, among them, 10 Stage Ⅰ, 19 Stage Ⅱ, 16 Stage Ⅲ and 31 Stage Ⅳ samples. Different stage models were developed and validated by support vector machines, disctiminant analysis and time-sequence analysis. Results: The Model Ⅰ formed by 6 protein peaks (m/z: 2759.58, 2964.66, 2048.01, 4795.90, 4139.77 and 37761.60) could be used to distinguish local CRC patients (Stage Ⅰ and Stage Ⅱ) from regional CRC patients (Stage Ⅲ) with an accuracy of 86.67% (39/45). The Model Ⅱ formed by 3 protein peaks (m/z: 6885.30, 2058.32 and 8567,75) could be used to distinguish locoregional CRC patients (Stage Ⅰ, Stage Ⅱ and Stage Ⅲ) from systematic CRC patients (Stage IV) With an accuracy of 75.00% (57/76). The Model Ⅲ could distinguish Stage Ⅰ from Stage Ⅱ with an accuracy of 86.21% (25/29). The Model Ⅳ could distinguish Stage Ⅰ from Stage Ⅲ with accuracy of 84.62% (22/26). The Model Ⅴ could distinguish Stage Ⅱ from Stage Ⅲ with accuracy of 85.71% (30/35). The Model Ⅵ could distinguish Stage Ⅱ from Stage Ⅳ with accuracy of 80.00% (40/50). The Model Ⅶ could distinguish Stage Ⅲ from Stage Ⅳ with accuracy of 78.72% (37/47). Different stage groups could be distinguished by the two-dimensional scattered spots figure obviously. Conclusion: This method showed great success in preoperatively determining the colorectal cancer stage of patients.展开更多
基金Project (No. 30471987) supported by the National Natural ScienceFoundation of China
文摘Objectives: To detect the serum proteomic patterns by using SELDI-TOF-MS (surface enhanced laser desorption/ ionization-time of flight-mass spectrometry) technology and CM10 ProteinChip in colorectal cancer (CRC) patients, and to evaluate the significance of the proteomic patterns in the tumour staging of colorectal cancer. Methods: SELDI-TOF-MS and CM10 ProteinChip were used to detect the serum proteomic patterns of 76 patients with colorectal cancer, among them, 10 Stage Ⅰ, 19 Stage Ⅱ, 16 Stage Ⅲ and 31 Stage Ⅳ samples. Different stage models were developed and validated by support vector machines, disctiminant analysis and time-sequence analysis. Results: The Model Ⅰ formed by 6 protein peaks (m/z: 2759.58, 2964.66, 2048.01, 4795.90, 4139.77 and 37761.60) could be used to distinguish local CRC patients (Stage Ⅰ and Stage Ⅱ) from regional CRC patients (Stage Ⅲ) with an accuracy of 86.67% (39/45). The Model Ⅱ formed by 3 protein peaks (m/z: 6885.30, 2058.32 and 8567,75) could be used to distinguish locoregional CRC patients (Stage Ⅰ, Stage Ⅱ and Stage Ⅲ) from systematic CRC patients (Stage IV) With an accuracy of 75.00% (57/76). The Model Ⅲ could distinguish Stage Ⅰ from Stage Ⅱ with an accuracy of 86.21% (25/29). The Model Ⅳ could distinguish Stage Ⅰ from Stage Ⅲ with accuracy of 84.62% (22/26). The Model Ⅴ could distinguish Stage Ⅱ from Stage Ⅲ with accuracy of 85.71% (30/35). The Model Ⅵ could distinguish Stage Ⅱ from Stage Ⅳ with accuracy of 80.00% (40/50). The Model Ⅶ could distinguish Stage Ⅲ from Stage Ⅳ with accuracy of 78.72% (37/47). Different stage groups could be distinguished by the two-dimensional scattered spots figure obviously. Conclusion: This method showed great success in preoperatively determining the colorectal cancer stage of patients.