Clinical value analysis of serum protein fingerprint in patients with rheumatoid arthritis associated interstitial lung disease / 中国免疫学杂志

Objective:To screen differentially expressed proteins in serum proteomic patterns in patients with Rheumatoid Arthritis associated Interstitial Lung Disease by Surface enhanced laser desorption /ionization mass spectrometry with Protein Chip ,and evaluate the value of a preliminary study.Methods: WCX2 ( Weak cation exchange chip ) and Surface enhanced laser desorption/ionization mass spectrometry with ProteinChip were performed to test serum proteins in 19 Rheumatoid Arthritis associated Interstitial Lung Disease,15 Rheumatoid Arthritis patients and 13 health adults,Biomarker Wizard ,Biomarker Pattern and Spss13.0 software were used in combination to analyze the data.Results:The mass/charge ratio ( M/Z) value of 142 protein peaks were detected in serum , there were 4 proteins differentially expressed with statistical significance among them ( P<0.05;Student′s t-test ) , which were the proteins with M/Z 3382.59 ,3453.39 ,11886.0 ,5825.48;the proteins with M/Z 11689.4 ,2266.49 ,1020.22 ,4392.28 ,5074.38 and 2764.69 were selected to establish the optimal diagnostic model.The sensitivity was of was 90%(9/10),the specificity was of 90%(18/20).Conclusion: Surface enhanced laser desorption/ionization time of flight mass spectrum can screen out the significantly different proteins in serum of patients with Rheumatoid Arthritis associated Interstitial Lung Disease.As bomarkers , both of their sensitivity and specificity were high and determination have good prospects for clinical application .

Expression and significance of four kinds of serum protein/polypeptide in tuberculosis patients and healthy controls / 实用医学杂志

Objective To assess the efficacy of using four kinds of proteins / peptides to distinguish the tuberculosis patients from healthy people. Methods A, B, C and D were used to represent four proteins /peptides with 1 060, 1 944, 2 081 and 3 954 of mass to charge ratio (m / z) in serum, respectively. Levels A, B, C and D in serum of 57 patients with tuberculosis and 30 healthy people were determined by using the surface-enhanced laser desorption-ionization time of flight mass spectrometry (SELDI-TOF-MS). Then the differences of levels of f A, B, C and D were anlyzed between tuberculosis patients and healthy people. The efficacy of distinguishing tuberculosis patient from healthy people were evaluated by using diagnostic test evaluation method. Results (1) The levels of A, B, C and D were 1 ± 11, 1 597 ± 3 102, 460 ± 765 and 1 208 ± 1 003 in tuberculosis patients, while they were 123 ± 201, 47 ± 98, 36 ± 93 and 397 ± 355 in healthy people. (2) The area under the receiver operator characteristic (ROC) curve was 0.644, 0.848, 0.735 and 0.810 respectively. The serum levels of A, B, C and D could be used to distinguish tuberculosis patient from healthy people and the cut-off values of A, B, C and D were ≤166, ≥318, ≥48 and ≥728, respectively. Conclusions B, C and D have better performances to distinguish tuberculosis patients from healthy people , which may be regarded as new promising candidate markers for diagnosis of tuberculosis.

Analysis on proteome of culture filtrates of Mycobacterium tuberculosis, serum and pleural effusion from patients with tuberculous pleurisy / 实用医学杂志

Objective To find humoral protein markers to develop new experimental diagnostic methods for tuberculous pleurisy. Methods Proteomes of 7 d and 14 d culture filtrate of Mycobacterium tuberculosis growing in Middlebrook 7H9, serum and pleural effusion from five patients with tuberculous pleurisy were detected by surface-enhanced laser desorptionionization time-of-flight massspectrometry (SELDI-TOF-MS). And the data were analyzed with descriptive statistics method to observed the protein components all owned by three kinds of proteome. Results From protein species, proteins of all culture filtrate were far more than that of pleural effusion and serum while proteins of pleural effusion in four cases were more than that of serum. The kinds of common proteins between culture filtrate and pleural effusion, between culture filtrate and serum, between serum and pleural effusion, among culture filtrate and pleural effusion and serum were different. But the protein of relative molecular mass of 2 660 depending on the ratio of mass to charge existed in all samples of culture filtrate, pleural effusion and serum. Conclusion The protein of relative molecular mass of 2 660 possess the latent quality as a specific humoral protein marker for tuberculous pleurisy. But it is essential that must be further confirmed among large samples.

Rapid identification of four common bacteria by SELDI-TOF MS protein fingerprints / 中华微生物学和免疫学杂志

Objective To establish protein fingerprints of common bacteria in clinics and to lay a foundation for rapid identification of bacteria.Methods Strains of Escherichia coli,Klebsiella pneumoniae,Pseudomonas aeruginosa and Staphylococcus aureus were detected by surface enhanced laser desorption and ionization time-of-flight mass spectrometry (SELDI-TOF MS).Stable expression protein peaks were screened and the data was input into the self-constructed Fingerwave software for identification of target bacteria by protein fingerprint comparison.Two hundred and fifty-six clinical isolates,including E.coli,K.pneumoniae,P.aeruginosa and S.aureus were detected and the data was compared with constructed database to evaluate its diagnostic value.Results The protein fingerprints including four common bacteia was used to identify the target bacteria with identification rate of 93.1％ (54/58) for E.coli,87.2％ (75/86) for K.pneumoniae,96.2％ (60/63) for P.aeruginosa and 96.2％ (51/53) for S.aureus,respectively.Conclusion Common bacteria can be rapidly identified by using the protein fingerprint comparison,which provides a powerful tool for bacterial identification.

Serum proteomic analysis of pancreatic cancer associated diabetes / 中华胰腺病杂志

Objective To detect serum biomarkers for pancreatic cancer associated diabetes and establish a model for diagnosis.Methods SELDI-TOF-MS was used to detect the differentially expressed serum proteins from 17 pancreatic cancer associated diabetes patients,17 new-onset type Ⅱ diabetes patients and 17 healthy controls,then a model of biomarkers was constructed and validated by Biomarker Patterns Software 5.0.Results Twelve discriminating m/z peaks were identified in the protein fingerprints in 10 pancreatic cancer associated diabetes patients,10 new-onset type Ⅱ diabetes patients and 10 healthy controls.Among them,the three biomarkers of mass/charge ratio 6116,6695 and 8936 were used to construct the model,which could diagnose 90％ pancreatic cancer associated diabetes form control groups.Blind test of other7 samples of three groups showed that 100％ pancreatic cancer associated diabetes,71％ new-onset diabetes and 86％ healthy controls were correctly classified.After searching protein database,there were metallothionein,pancreatic progenitor cell differentiation and proliferation factor-like protein,and fibroblastic growth factor 1,which were close to the weights of the above mentioned 3 differentially expressed proteins.Conclusions SELDI can identify 3 biomarkers for pancreatic cancer associated diabetes and a reliable model for diagnosis of pancreatic cancer associated diabetes is established.

Transthyretin-down-regulation in sera of cholangiocarcinoma / 中华肝胆外科杂志

Objective As SELDI-TOF-MS (Surface Enhanced Laser Desorption/Ionization Time of Flight Mass Spectrometry) has been broadly used to screen biomarkers for a variety of diseases, the identification and validation of the revealed biomarkers requires more focused attention.Method In this paper, the serum samples from 60 cholangiocarcinoma, 146 lung cancer, 65 LGC and 58 LPC, 49 benign diseases of hepatobiliary and 53 normal individuals were analyzed by SELDI-TOF-MS. Results Among a set of proteins automatically selected as specific biomarkers by Biomarker Wizard software, three protein peaks, with molecular weights of 13. 71 × 103 , 13.83 × 103 and 13. 99 ×103 , were found significantly decreased in cholangiocarcinoma samples. The candidate biomarkers obtained from Tricine-SDS-PAGE gel bands by matching the molecular weight with peaks on CM10 chips were identified by Mass spectrometry as the native transthyretin(native TTR),cysTTR and glutTTR.These preliminary results were further proven by immunoprecipitation using commercial TTR antibodies. This allowed us to re-measure the TTR levels in all the groups more simply by ELISA assay. It showed a firm consistency between ELISA and SELDI analysis. In addition, while TTR levels in cholangiocarcinoma were found to be lower than those in normal healthy controls, TTR levels in benign diseases of the hepatobiliary system were found to be higher than those in healthy controls.Conclusion TTR could be a biomarker that better discriminates cholangiocarcinoma patients from the benign diseases compared to other biomarkers presently available.

Identification of differentially expressed proteins in different ovarian tissues by SELDI-TOF MS / 肿瘤研究与临床

Objective To search for differentially expressed proteins in normal ovaries,benign,borderline and malignant ovarian tumor protein. Methods The protein from ovarial carcinoma tissue and benign ovary was drawn, and analyzed with SELDI-TOF MS. Results There are some high expression proteins in ovarian cancer tissues: M/Z 15 112.15, 15 296.79, 7560.78, 16 049.39, 7682.06, 7932.30,15 851.32, 4619.68 and 8052.10. Borderline ovarian tumor protein peak were between benign and malignant:M/Z 15 112.15, 15 851.32, 7560.78, 7682.06 and 7932.30. Conclusion There were some differentially expressed proteins in different ovarian tissue. They might lay the molecular basis for the clinical diagnosis and therapy of ovarian cancer.

Preliminary study of diagnosis ofhepatocellular carcinoma by protein chip technique / 肿瘤研究与临床

Obiective To screen serum biomarkers in patients with hepatocellular carcinoma (HCC)by SELDI-TOF-MS technique.Methods SELDI-TOF-MS technique and CM10 Protein Chip were used to detect serum protein patterns of 46 patients with primary hepatic carcinoma and 64 healthy persons.The different proteins were obtained by the Biomarker Wizard software between the patients and healthy persons.The best biomarker of primary hepatic carcinoma was selected by evaluating the sensitivity and specificity of the protein.Results 16 protein peaks were obviously different between the patients and the healthy persons (P ＜0.05).The protein peaks of m/z 6845.70 had the highest diagnosis value with a sensitivity of 89.1％ (41/46)and specificity of 87.5 ％ (56/64).This protein was likely to be a part of the immunoglobulin heavy chain variable region.Conclusion The protein of m/z 6845.70 is potential biomarkers for the diagnosis of HCC.SELDI-TOF-MS technique is a quick,simple,convenient and high through-put technology for diagnosis of hepatocellular carcinoma.

Detection, identification and diagnostic value of differential proteins in sera of patients with HBV-related primary hepatic carcinoma / 第二军医大学学报

Objective: To detect and identify differentially expressed proteins in the seta of patients with HBV-related primary hepatic carcinoma and discuss their possible role in early diagnosis of primary hepatic carcinoma. Methods: The surface-enhanced laser desorption/ionization time-of-flight mass spectroscopy (SELDI-TOF-MS) was used to screen for the differentially expressed serum proteins in patients with HBV-related primary hepatic carcinoma, liver cirrhosis, chronic hepatitis, and healthy adults. Then the most differential protein sample was isolated and purified by ionic exchange chromatography and was subjected to mass spectrometry analysis. The screening results were used to establish a diagnosis model for hepatic carcinoma and the accuracy and sensitivity of the model were assessed. Results: CM10(weak cation exchange)chip found 44 differentially expressed protein peaks (P<0.05) in hepatic carcinoma group compared with those in the healthy adult group, with 21 up-regulated and 23 down-regulated. Fifty-one differential peaks were identified in hepatic carcinoma group compared with those in the liver cirrhosis group (P<0.05), with 47 up-regulated and 4 down-regulated. The expression of protein with a mass-to-charge ratio (m/z) of 5 805 gradually increased in order in the healthy adult, chronic hepatitis, liver cirrhosis and hepatic carcinoma patients; and the expression in hepatic carcinoma group was significantly higher than that in the healthy adult group (P<0.01); peptide mass fingerprint (PMF) after enzyme hydrolysis showed that 2 of the peptides were partially identical to chondroitin sulfate synthase 2. A diagnosis model of hepatic carcinoma was successfully established based on the differentially expressed proteins, with an accuracy of 94.82% ([23+32]/58), a sensitivity of 88.46% (23/ 26), and a specificity of 100% (32/32). Conclusion: We have successfully screened out the differentially expressed proteins in the sera of patients with HBV-related primary hepatic carcinoma; the most differentially expressed protein (5 805) has 2 peptides partially identical to chondroitin sulfate synthase 2 in sequence. The established model may help to diagnose HBV-related primary hepatic carcinoma.

Screening and identification of serum biomarker of anovulatory dysfunctional uterine bleeding and its expression in the menses / 中南大学学报(医学版)

Objective To screen and identify the serum biomarker of anovulatory dysfunctional uterine bleeding (ADUB) , to determine the expression of biomarker protein in menses of ADUB pa-tients, and to investigate the relation between ADUB and the biomarker proteins. Methods Subjects included 128 ADUB patients and 93 age-matched controls( normal women ). Their serum and super-natant of mense were collected and stored for use at -80℃. The differential proteins in the serum of the 2 groups were detected by CM 10 and analyzed by Biomarker WizardTM3.2 software. Then, the differential proteins were identified by Trieine-SDS-PAGE gel separation, spectrometry identifica-tion, and immunoprecipitation. The expression of the protein identified above in the menses was test-ed by ELISA, RT-PCR, and Western blotting. SPSS 14.1 was applied for statistical analysis and chart drawing. Results Five differential protein peaks were screened and their peak values were 11.80, 13.59, 13.79, 13.85, and 14.20 km/z, respectively. The intensity of protein peak ( 11.80 km/z ) which was identified as serum amyploid protein A ( SAA ) of ADUB was significantly higher than that of the controls (P<0.05). While the intensity of protein peak (13.59 km/z) which was identified as vascular endothelial growth factor (VEGF) of ADUB was obviously lower than that of the controls (P<0.05). The intensity of protein peak 13.08, 13.85, and 14.20 was not different between the cases and controls. SAA expressed highly in the menses of ADUB but low in that of the controls. Conversely, VEGF expressed highly in the menses of the control but low in that of the ADUB. Conclusion Two biomarkers which might be related with ADUB have been correctly screened and identified as SAA and VEGF. It needs further study whether the increased expression of SAA and reduced expression of VEGF are the cause or result of ADUB.

Significance of proteomic fingerprints on shifting the NSCLC patients with Gefltinib / 肿瘤研究与临床

Objective Verification of the serum proteomic fingerprints of NSCLC (non-small cell lung cancer) patients related to their advantage in Gefitinib therapy. Methods 27 NSCLC patients who have been treated with Gefitinib for more than 1 month and attained certain efficacy were taken for examination. They were divided into 3 groups, CR+PR, SD and PD, according to the evaluation criteria of solid tumor curative efficacy. All patients received SELDI (SELDI-TOF-MS surface-enhanced laser desorption/ionization time-of-flight mass spectrometry technique) inspection before treatment with Gefitinib. The shifting procedure was based on the abundance of the fingerprint :"M/Z 8693 50H+". According to the abundance of this fingerprint founded, the patients were divided into 4 populations: 1. The advantage population (10 patients, abundance 10 %);2. The disadvantage population (7 patients, abundance≥30 %);3. Suspected population A (5 patients, abundance 11%-15 %);4. Suspected population B (5 patients, abundance 16～ 29%). The ratio of patients in each of the 3 groups (CR + PR, SD and PD) into each of the above 4 populations were analyzed. Results It showed that: 1. In the advantage population, the ratio dispersed from CR + PR group is 9/10, those from SD group is 1/10 and from PD is 0.2. In the disadvantage population, the ratio dispersed from CR + PR group is 1/7, those from SD group is 1/7 and from PD is 5/7. In the suspected A group, the ratio from CR + PR group is 3/5, those from SD group is 1/5 and from PD is 1/5. 4. In the suspected B group, the ratio from CR + PR group is 3/5, those from SD group is 1/5 and from PD is 1/5. Conclusion This fingerprint "M/Z 8693 50H+" with abundance 10% after SELDI inspection is the index choosing advantage patients suitable to receive Gefitinib therapy.

A Comparative Study on Proteomics between LNCap and DU145 Cells by Quantitative Detection and SELDI Analysis / 华中科技大学学报（医学）（英德文版）

The differences in intracellular and extracellular protein expressions between human prostate cancer fines LNCap and DU145 were examined. The proteins of the two cell lines were extracted and condensed by using protein extraction kits. And the intracellular and extracellular proteins were quantitatively detected on a micro-plate reader by using bicinchoninie acid (BCA) method. The proteins in cell culture fluid were qualitatively assayed by SELDI-TOF-MS. The results showed that the intracellular protein contents of LNCap cells were extremely higher than those of DU145 cells. After serum-free culture, both intracellular and extracellular protein contents of LNCap and DU145 were decreased to some extent. And the intracellular proteins were decreased by 5% in LNCap and by 36% in DU145 respectively, while the extracellular proteins were decreased by 89% in LNCap and 96% in DU145 respectively. SELDI assay revealed that there were 5 marker proteins in LNCap and 6 in DU145. Although both LNCap and DU145 cell lines originated from human prostate cancer, they had some differences in protein expression.

Application of SELDI-TOF-MS in searching for biomarkers for colorectal cancer / 国际外科学杂志

SELDI-TOF-MS is a novel proteomic technique.It reveals some new biomarkers which could be used for early diagnosis,preoperative staging and predicting response to radiochemotherapy of colorectal cancer.These new biomarkers were validated to be more sensitive and specific than traditional hiomarkers.SELDI-TOF-MS will be a useful tool for early diagnosis and tailor-made therapy of eolorectal cancer.

Development of a diagnosis model for active pulmonary tuberculosis using mass spectrometry and pro-tein chip / 中华微生物学和免疫学杂志

Objective To develop a diagnosis model for active pulmonary tuberculosis. Methods The proteomic fingerprinting of 264 sera from active tuberculosis patients and controls were analyzed using the surface-enhanced laser desorption ionization time of flight mass spectrometry (SELDI-TOF-MS) and protein-chip technology. The peaks were detected and filtrated by Ciphergen PrnteinChip(R) Software (version 3.1.1). Using the Biomarker Pattern 5.0 software, a diagnostic model was developed for diagnosis of active tuberculosis. Re-sults Fifty protein peaks were significantly different between the patients with active pulmonary tuberculosis and the controls with overlapping clinical features (P<0.01). Five protein peaks at 4360, 3311, 8160, 5723, 15173 m/z were chosen for the system classifier and the development of diagnosis model 1. The model differenti-ated the patients with active pulmonary tuberculosis from the controls with a sensitivity of 83.0%, and a speci-ficity of 89.6%. The diagnostic accuracy was up to 86.4%. Three protein peaks at 5643, 4486, 4360 m/z were chosen for the system classifier and the development of diagnosis model 2. The model differentiated the pa-tients with active pulmonary tuberculosis from the controls with a sensitivity of 96.9%, and a specificity of 97.8%. The diagnostic accuracy was up to 97.3%. Conclusion It might be a new diagnostic test for the de-tection of sera from the patients with active pulmonary tuberculosis using SELDI-TOF-MS and protein chip.

Plasma haptoglobin and immunoglobulins as diagnostic indicators of deoxynivalenol intoxication

This study aimed to discover potential biomarkers for dioxynivalenol (DON) intoxication. B6C3F1 male mice were rally exposed to 0.83, 2.5 and 7.5 mg/kg body weight (bw) DON for 8 days and the differential protein expressions in their blood plasma were determined by SELDI - Time-of-Flight/Mass Spectrometry (TOF/MS) and the immunoglobulins (Igs) G, A, M and E in the serum were investigated. 11.7 kDa protein was significantly highly expressed according to DON administration and this protein was purified by employing a methyl ceramic HyperD F column with using optimization buffer for adsorption and desorption. The purified protein was identified as a haptoglobin precursor by peptide mapping with using LC/Q-TOF/MS and MALDI-TOF/MS and this was confirmed by western blotting and ELISA. IgG and IgM in serum were decreased in a dose-dependent manner and IgA was decreased at 7.5 mg/kg bw DON administration, but the IgE level was not changed. To compare the expressions of haptoglobin and the Igs patterns between aflatoxin B1 (AFB1), zearalenone (ZEA) and DON intoxications, rats were orally administered with AFB1 1.0, ZEA 240 and DON 7.5 mg/kg bw for 8 days. Haptoglobin was increased only at DON 7.5 mg/kg bw, while it was slightly decreased at ZEA 240 mg/kg bw and it was not detected at all at AFB1 1.0 mg/kg bw. IgG and IgA were decreased by DON, but IgG, IgA, IgM and IgE were all increased by AFB1. No changes were observed by ZEA administration. These results show that plasma haptoglobin could be a diagnostic biomarker for DON intoxication when this is combined with examining the serum Igs.

Development of Decision Tree Software and Protein Profiling using Surface Enhanced Laser Desorption/Ionization - Time of Flight - Mass Spectrometry (SELDI-TOF-MS) in Papillary Thyroid Cancer / 핵의학분자영상

PURPOSE: The aim of this study was to develop a bioinformatics software and to test it in serum samples of papillary thyroid cancer using mass spectrometry (SELDI-TOF-MS). MATERIALS AND METHODS: Development of 'Protein analysis' software performing decision tree analysis was done by customizing C4.5. Sixty-one serum samples from 27 papillary thyroid cancer, 17 autoimmune thyroiditis, 17 controls were applied to 2 types of protein chips, CM10 (weak cation exchange) and IMAC3 (metal binding - Cu). Mass spectrometry was performed to reveal the protein expression profiles. Decision trees were generated using 'Protein analysis' software, and automatically detected biomarker candidates. Validation analysis was performed for CM10 chip by random sampling. RESULTS: Decision tree software, which can perform training and validation from profiling data, was developed. For CM10 and IMAC3 chips, 23 of 113 and 8 of 41 protein peaks were significantly different among 3 groups (p<0.05), respectively. Decision tree correctly classified 3 groups with an error rate of 3.3% for CM10 and 2.0% for IMAC3, and 4 and 7 biomarker candidates were detected respectively. In 2 group comparisons, all cancer samples were correctly discriminated from non-cancer samples (error rate = 0%) for CM10 by single node and for IMAC3 by multiple nodes. Validation results from 5 test sets revealed SELDI-TOF-MS and decision tree correctly differentiated cancers from non-cancers (54/55, 98%), while predictability was moderate in 3 group classification (36/55, 65%). CONCLUSION: Our in-house software was able to successfully build decision trees and detect biomarker candidates, therefore it could be useful for biomarker discovery and clinical follow up of papillary thyroid cancer.

Identification of biomarker for ovarian cancer by serum proteomic analysis using SELDI-ToF-MS / 부인종양

OBJECTIVE: SELDI-ToF-MS is an affinity-based mass spectrometric method. This study was performed to determine feasibility of serum proteomic pattern analysis using SELDI-ToF-MS for the detection of ovarian cancer. METHODS: Forty-three epithelial ovarian cancer patients and seventy-seven controls were included in the study from October 2003 to March 2005 in Sanggye Paik Hospital. Potential tumor biomarkers in sixty serum samples were screened, including twenty-one ovarian cancers and thirty-nine controls. Proteomic pattern was analyzed by SELDI-ToF-MS and optimal discriminating m/z value with proper cutoff of log-normalized intensity was determined by decision tree analysis (Phase I). Another sixty serum samples were obtained from twenty-two ovarian cancers and thirty-eight controls. Through analysis using SELDI-ToF-MS, the performance of diagnosing ovarian cancer was determined by applying previously adopted cutoff log-normalized intensity of m/z value determined in Phase I experiment (Phase II). RESULTS: A biomarker of 3501.23 kDa was selected based on the collective contribution to the optimal separation between ovarian cancers and controls. Sensitivity of 90.9% and specificity of 84.2% was achieved by SELDI-ToF-MS in Phase II experiment. Age, stage, and histologic type did not affect performance of SELDI-ToF-MS for diagnosing ovarian cancer. CONCLUSION: Serum proteomic analysis by biochip and mass spectrometry is a feasible method in diagnosing ovarian cancer.

Identification of biomarker for ovarian cancer by serum proteomic analysis using SELDI-ToF-MS / 부인종양

OBJECTIVE: SELDI-ToF-MS is an affinity-based mass spectrometric method. This study was performed to determine feasibility of serum proteomic pattern analysis using SELDI-ToF-MS for the detection of ovarian cancer. METHODS: Forty-three epithelial ovarian cancer patients and seventy-seven controls were included in the study from October 2003 to March 2005 in Sanggye Paik Hospital. Potential tumor biomarkers in sixty serum samples were screened, including twenty-one ovarian cancers and thirty-nine controls. Proteomic pattern was analyzed by SELDI-ToF-MS and optimal discriminating m/z value with proper cutoff of log-normalized intensity was determined by decision tree analysis (Phase I). Another sixty serum samples were obtained from twenty-two ovarian cancers and thirty-eight controls. Through analysis using SELDI-ToF-MS, the performance of diagnosing ovarian cancer was determined by applying previously adopted cutoff log-normalized intensity of m/z value determined in Phase I experiment (Phase II). RESULTS: A biomarker of 3501.23 kDa was selected based on the collective contribution to the optimal separation between ovarian cancers and controls. Sensitivity of 90.9% and specificity of 84.2% was achieved by SELDI-ToF-MS in Phase II experiment. Age, stage, and histologic type did not affect performance of SELDI-ToF-MS for diagnosing ovarian cancer. CONCLUSION: Serum proteomic analysis by biochip and mass spectrometry is a feasible method in diagnosing ovarian cancer.

Detection of serum protein biomarkers by surface enhanced laser desorption ionization in patients with lung adenocarcinoma / 临床检验杂志

Objective To identify new serum biomarkers of lung adenocarcinoma.Methods Serum samples from 31 patients with lung adenocarcinoma and 31 healthy individuals were applied to SAX-2 protein chips to generate proteomic spectra by surface-enhanced laser desorption/ionization time-of-flight mass spectrometry(SELDI-TOF-MS).The spectra were analyzed with Ciphergen Biosystems software and biomarker patterns software.Results The software identified 102 peaks and m/z 14 022.9 and 3 735.99 were used to construct the classification tree.The classification tree separated adenocarcinoma of lung effectively from healthy individuals,achieving a validity of 100%.The blind test challenged the model with a sensitivity of 100%and a specificity of 100%.Conclusions The results suggest that SELDI-TOF-MS technique can distinguish lung adenocarcinoma patients from healthy individuals and shows great potential for the development of a screening test for the detection of lung cancer.

Screening on the tumor related markers in the serum of the renal cell carcinoma patients by the SELDI-TOF-MS technique / 中国癌症杂志

Background and purpose:Surface enhanced laser desorption ionization time of flight mass spectrometry (SELDI-TOF-MS) is useful in helping to identify the molecular changes closely related to renal cell carcinoma. We explored the different expression of sera protein between human renal cell carcinoma patients and normal to screen renal cancer-specific biomarkers. Methods:The protein mass spectrometry of 28 cases with renal cell carcinoma and 28 normal persons were detected by WCX2 protein chip combining with SELDI-TOF-MS technique for screening the different proteins. Serum samples from 28 patients with clear renal cell carcinoma and 28 normal persons were used to detect biomarkers for clear renal cell carcinoma by SELDI-TOF-MS technique with WCX2 Proteinchip. Results:170 effective protein wave crests between 1.5?103-30?103(1.5-30 kD) were detected. Seven proteins were specifically detected in sera of patients with clear renal cell carcinoma, but not in normal donor. The proteins with MW 4.098,5.917,6.643 ?103 were down-regulated ,and four proteins with MW 5.572,6.344,6.529,8.518 ?103 were up-regulated. Conclusion:Detection of specific protein in human renal cell carcinoma sera is significant both for determination of clinical specific biomarkers and study of cancer development mechanism.