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Objective To study the occurrence of anxiety in patients with malignant tumor, and in further explore the scientificity and clinical application value of surface-enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI) technology in anxiety detection. Methods 1 000 patients with malignant tumor were selected as research objects, the self-rating anxiety scale (SAS) was used to evaluate the anxiety on the first day of admission, the fasting venous blood of patients was taken on the next day morning. The SAS score and SELDI result were compared and analyzed. Results The effective sample number was 988. The SAS score was 56.32± 9.665, there were 454 cases of anxiety, the incidence rate of anxiety was 45.95 %. 470 cases were SELDI test positive, and the incidence rate of anxiety was 47.57 %. SAS was used as the gold standard to judge anxiety, the sensitivity and specificity of SELDI technology were 93.17 % and 91.20 %, the positive predictive value and negative predictive value were 90.00 % and 94.02 %, the total coincidence rate was 92.11 %. SAS score highly correlated with the abundance of SELDI, the fitting curve showed an up trend, and the correlation coefficient was 0.837. Conclusions The incidence of malignant tumor patients ' anxiety is relatively high. SELDI technique shows high sensitivity, specificity, total coincidence rate and correlation in anxiety detection, it can be used as an objective evaluation of anxiety.
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Objective To study the protein fingerprinting of carbapenems resistant and susceptible Acinetobacter baumannii (Ab) strains ,investigate the clinical value of affinity distance in carbapenems resistant strains .Methods A total of 22 carbapenems resistant Ab strains and 18 carbapenems susceptible Ab strains were collected ,and bacterial protein fingerprinting was detected by surface-enhanced laser desorption ionization time of flight mass spectrometry (SELDI-TOF-MS) ,differentially expressed proteins was analyzed by Biomarker Wizard 3 .1 .Cluster analysis of differential expressed proteins was conducted on SPSS 19 .0 .Results The protein expression pattern of carbapenems resistant and sensitive Ab strains had significant difference (P< 0 .05) .Cluster anal-ysis showed carbapenems resistance Ab was given priority to with type A ,followed by type B .Conclusion The results of cluster a-nalysis carbapenems resistance of Ab protein fingerprinting could determine the distance of affinity relationship of Ab .It could pro-vide a theoretical basis for the infection and clinical epidemiology of Ab .
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Objective To investigate the incidence of anxiety in patients with breast cancer,and further explore the surface-enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI) technology' s clinical value in the diagnosis of anxiety.Methods 121 breast cancer patients were selected as research objects by using convenience sampling method.Self-rating anxiety scale (SAS) was used to evaluate the anxiety on the first day of admission and SELDI was used on the next day to detect the serum from patients' fasting venous blood sample got in the morning after their consent,then anxiety-related protein fingerprints spectrums were selected.The SAS score and SELDI result were finally compared and analyzed.Results SAS score in 121 patients was 53.45±9.78,anxiety occurred in 63 cases (52.07 ％).Established the diagnostic model between 15 000+H and 16 800+H protein fingerprints abundance ≥5 ％,that was to say,abundance ≥5 ％ was judged as positive,otherwise negative.On this basis,patients can accurately be distinguished between anxious group and non-anxious group.Correct rate (total coincidence rate) was 91.74 ％,specificity and sensitivity respectively were 89.66 ％ (52/58) and 93.65 ％ (59/63),the positive predictive value was 90.77 ％ (59/65),and negative predictive value was 92.86 ％ (52/56).Conclusions Breast cancer patients have a high incidence of anxiety.SELDI technology has showed high sensitivity and specificity in anxiety detecting.As an objective assessment tool,it could have better prospects for clinical use.
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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.
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Objective To explore the application of serum SELDI proteomic patterns to screen breast cancer biomarkers.Methods Serum protein profiles of 110 breast cancer patients and 100 healthy controls were analyzed with surface-enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI-TOFMS).The spectra were generated on weak cation exchange (WCX2) chips and protein peaks clustering and classification analyses were made using Biomaker Wizard software.Differences in protein intensity between breast cancer cases and controls were measured with the Mann-Whitney U test and adjusted for confounding in a multivariate logistic regression model.Results Forty-nine of these proteins were found to have statistically differential expression levels between breast cancer and normal control sera (P ＜ 0.05).Based on literatures reported,six protein biomarkers,with mass-to-charge ratio (M/Z) (4376,8126,8924,3264,3968,and 9180) were selected.Proteins with M/Z 4376,4126,and 8924 were statistically significantly decreased in breast cancer cases compared to those in healthy controls (P ＜ 0.05).Proteins with M/Z 3264,3968,and 9180 were significantly increased in breast cancer cases compared to those in healthy controls,Protein with M/Z 9180 was associated with TNM stage and Her-2 expression in breast cancer (P ＜ 0.05).Protein with M/Z 8926 was related with lymph node metastasis (P ＜0.05).Conclusion These results suggest that serum SELDI protein profiling can distinguish breast cancer patients from normal subjects with relatively high sensitivity and specificity.SELDI-TOF-MS plays a valuable role in the diagnosis of breast cancer and the discovery of new tumor-specific protein biomarkers.
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Objective To study the changes of serum proteomic spectra in patients with nasopharyngeal carcinoma(NPC) before and after treatment in order to detect the protein biomarkers.Methods Proteomic spectra from serum of 50 NPC patients before radiotherapy,25 NPC patients who achieved complete remission(CR) after radiotherapy, and 40 persons from normal control subjects were analyzed by CM-10 protein chip and surface-enhanced laser desorption ionization time of flight mass spectrometry. Results Expressed proteins in serum were screened by analysis of the proteomic spectra of pre-radiotherapy patients and normal individuals. 4 kinds of proteins with the relative molecular masses of 2931,4098,5343,13 766 made up markers pattern which was able to classify the patients and normal individuals. The sensitivity and specificity results were 90.0% and 90. 0% , respectively. The twenty differential expression protein peaks of patients before and after radiotherapy were obviously different. The relative molecular masses of 2931 , 4182, 4688 and 13 766 were up-regulated in untreated NPC, while were close to the normal levels in CR group. Two other protein peaks of 4098 and 5343 were down-regulated in untreated NPC group, which were close to normal levels in CR group. Conclusions The expressions of protein levels are different before and after radiotherapy in NPC patients. Protein signatures of NPC may be screened using SELDI-TOF-MS. Those signatures may be helpful in assessing the minimal residual disease and predicting the treatment efficacy.
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Objective To screen serum proteomic marker of hepatic echinococcosis, establish a diagnotic model of serum protein fingerprint patterns, and evaluate its clinical application for hepatic echinococcosis. Methods Serum samples from 68 patients with hepatic echinococcosis matched with 73 controls composed of 33 patients with liver diseases other than hepatic echinococcosis and 40 healthy people were collected. All subjects were divided into training group (37) and testing group (67). Serum protein profiling of patients with hepatic echinococcosis and controls were detected using surface enhanced laser desorption/ionization time of flight mass spectrometry(SELDI-TOF-MS) and weak cation exchange protein chip(WCX2). Peak intensities were compared, in the training group, between 37 patients with hepatic echinococcosis and 37 controls, 5 patients with HCE and 5 patients with HAE, and 8 patients with hepatic echinococcosis before and after operation, respectively. ZJU-Protein Chip Data Analyze System(ZJU-PDAS) was used for data analysis and the model of serum protein fingerprint patterns was build by support vector machine (SVM). The sensitivity and specificity of the model for diagnosis of hepatic echinococcosis were verified by blind method on samples of testing group. Results There were nine different protein peak spectra between hepatic echinococcosis group and control group, of which eight protein peak spectra decreased in patient group, their relative molecular mass were 1044, 1047, 1073, 1075, 1338, 6453, 6649, 8714 m/z, respectively, while one protein peak spectrum(5651 m/z) increased(P < 0.05). The sensitivity,specificity, positive predictive and negative predictive value of the model validated by blind method were 77.4% (24/31), 66.7% (24/36), respectively. There were two different protein peak spectra between HCE group and HAE group, Their relative molecule mass were 8716 and 2751 m/z, respectively (P < 0.05). Six different proteins were detected from pre-operation group and post-operation group. Their relative molecular mass were 1297, 1505, 1525, 1534, 5921, 5941 m/z, respectively(P < 0.05). Conclusions It is a successful way to screen serum proteomic marker in patients with hepatic echinococcosis by SELDI-TOF-MS and Bio-informatics, and the marker has a potential clinical value in diagnosis and judging prognosis of hepatic echinococcosis.
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Objective To explore differential expression of protiens between patients with esophageal cancer and healthy individuals, and to screen out the tumor biomarkers to construct a dignostic model. Methods From January to August, 2008, the clinical data of 127 patients with esophageal cancer (esophageal cancer group) who had been admitted to the First Affiliated Hospital of Xinjiang Medical University and 63 healthy individuals (control group) were retrospectively analyzed. The serum proteomic profiles of the esophageal cancer pateints and healthy individuals were deteced by weak cation exchange and hydrophobic surface ProteinChip using the surface enhanced laser desorption/ionization-time of flight-mass spectrometry (SELDT-TOF-MS) technique.Serum differentially expressed markers of esophageal cancer were screened out to establish the diagnostic model for esophageal cancer. All data were analyzed using rank sum test. Results Six proteins were high-expressed in the esophageal cancer group, and the mass-to-charge ratios were 4488, 5495, 15964, 3948, 8154, 8166. Four were low-expressed in esophageal cancer group, and the mass-to-charge ratios were 8789, 6682, 8714, 6650. A diagnostic model consisting six proteins was established. A total of 124 patients were correctly diagnosed and three were misdiagnosed in the esophageal cancer group, and 60 were correctly diagnosed and three were misdiagnosed in the control group. The accuracy, sensitivity and specificity of the diagnostic model were 96.8% ( 184/190),97.6% ( 124/127 ) and 95.2% (60/63). Conclusions The diagnostic model established based on the tumor markers screened out by the SELDT-TOF-MS is highly sensitive and specific.
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Objective To screen for biomarkers in urine from patients with steroid-resistant nephrotic syndrome (SRNS) using surface-enhanced laser desorption ionization time-of-flight mass spectrometry (SELDI-TOF-MS) Proteinchip technology. Methods Urine samples from 9 SRNS patients, 32 steroid-sensitive nephrotie syndrome (SSNS) patients and 45 normal controls were analyzed using UA gold chip. Proteomic spectra were generated by mass spectrometry. Results Four differentially expressed biomarkers were identified with relative molecular weight of 6 703, 7 212, 11 820, 14 356. It was found that these protein peaks with relative molecular weigh of 7 212, 11 820, 14 356 were highly expressed in SRNS and 6 703 were lowly expressed in SRNS. The diagnostic cast that is constructed with these four protein to differentiate SRNS from SSNS with sensitivity of 88.89% and specificity of 93.75%. Conclusions SELDI-TOF-MS Proteinchip technology is a non-invasive, quick, easy, and convenient, and high-throughput analyzing method capable of screening several biomarkers from the urines of SRNS patients and has better clinical value.
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Objective To analyze the characteristic of serum proteins in non-small cell lung cancer (NSCLC) patients, establish serum markers pattern for the diagnosis of NSCLC. Methods Surface enhanced laser desorption ionization time of flight mass spectormetry ( SELDI-TOF-MS) technology was used to analyze serum samples. Bio-marker Pattern Software (BPS) was used to detect the protein peaks. Results Sixteen significantly different pro-tein peaks were found in serum samples in NSCLC patients and healthy controls. Eight up-regulated protein peaks and eight down-regulated protein peaks ( P < 0. 001 ) were identified in serum samples of NSCLC patients. Three up-regulated protein peaks(P <0. 05) were identified in serum samples of patients of NSCLC with smoking history. Two up-regulated protein peaks(P <0. 01) were identified in serum samples of patients of squamous carcinoma comparing with adenocarcinoma. No significantly different protein peak was found in serum samples of NSCLC patients at different clinical stages . Conclusion SELDI - TOF - MS technology can identify different protein peaks and so function as a diagnostic tool with high sensitivity and specificity.
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Objective:To screen the tumor markers of laryngeal carcinoma and to investigate their expression in preoperative and postoperative serum.Method:The distinct protein in serum was detected in 32 cases of laryngeal carcinoma and 38 healthy people by IMAC-Cu proteinchip array and surface-enhanced laser desorption/ionization time-of-flight mass spectrometry(SELDI-TOF-MS).The distinct proteins in serum were detected in 32 cases of laryngeal carcinoma preoperation and within 10 days 15 cases of laryngeal carcinoma postoperation with the same methods.The discriminatory profiling between preoperative and postoperative patients was analyzed by Biomarker Wizard software and Biomarker Pattern software.Result:The results showed that fifteen differentially expressed proteins in serum were screened by analysis of protemic spectra of preoprative patients and normal subjects.Seventeen kinds of protein differentially expressed in serum were screened by analysis of protemic spectra of preoperative and postoperative patients.Six kinds of protein(2 958.52,3 796.89,5 148.86,6 115.57, 052.18,and7 770.76)were obtained for making up patterns that was able to class the preoperative-team and postoperativeteam.Corresponding correct ratio were 84.38%(27/32)and 73.33%(11/15).Conclusion:The preliminary results suggest that classification system will provide a highly accurate and innovative approach for the arly dioagnosis of laryngeal carcinoma and judgement of prognosis.SELDI-TOF-MS technology is a useful tool for a high throughput screening of large-sized serum samples tO discover potential biomarkers for laryngeal carcinoma.
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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.
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Objective To explore the changes of proteomic spectra from plasma of patients with lung cancer or benign lung diseases and health controls in order to establish a primary diagnosis model of lung cancer. Methods The proteomic spectra from plasma of 108 patients with lung cancer, 40 patients with benign lung diseases and 22 healthy individuals were analysed by surface-enhanced laser desorption/ionization time of flight mass spectrometry ( SELDI-TOF-MS). The best decision tree model was established by cluster analysis and principal component analysis. Then the model was blindly validated by the protein of 21 patients with lung benign diseases and 47 patients with stage I lung cancer. Results Twenty-three significantly differentially expressed protein peaks were successfully detected (P <0.001). Blinded validation suggested that the accuracy for diagnosing lung cancer was 72. 06%, the sensitivity and specificity were 72. 34% and 71.43%, respectively, and the positive predictive value and negative predictive value were 85. 0% and 78. 95%, respectively. Conclusion SELDI-TOF-MS protein chip technology provides a new tool for the early diagnosis of lung cancer.
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Objective To analyze the alterations of serum protein in ESCC,compare alterations of serum protein with and without LM. Methods Serum samples were collected from 64 ESCC patients before operation and 60 cases with gender and age-matched healthy controls,special serum protein or peptide spectra was determined by SELDI-TOF-MS measurement after treating the sample onto weak cation exchange (WCX2) protein chip for each case. The serum protein profiles were compared by Biomarker Wizard Software between the ESCC patients and healthy controls, and among ESCC patients stratified according to gender, age, location of tumor, size of tumor, infiltration and with or without LM. Results (1)120 protein peaks were detected at the molecular range of 0 to 50000 in comparing of ESCC patients and healthy controls. 31 significantly different peaks were found between ESCC patients and healthy controls (P <0.05), 10 peaks were selected(P<0.01). (2) One significantly different protein peak (m/z 4174) was detected between T1 and T3, T4 (P<0.05). (3) There were three significantly different protein peaks (m/z 3970,4174 and 4277) between with LM and without LM (P<0.05).The peak (m/z 4174) was shared by two groups above. (4) No significant different protein was found when patients stratified according to gender, age, location of tumor and size of tumor. Conclusion Significant difference exists in serum proteins between ESCC patients and healthy controls. There are statistical difference exists in serum proteins between T1 and T3, T4, with LM and without LM. This difference is less than between ESCC patients and healthy controls. Some commonness is existed in serum protein fingerprint for patients with serious infiltration and with LM.
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Objective To analyze the characteristic of serum proteins in non-small cell lung cancer (NSCLC) patients,establish serum markers pattern for the diagnosis of NSCLC. Methods Surface enhanced laser desorption ionization time of flight mass spectormetry(SELDI-TOF-MS) technology was used to analyze serum samples. Biomarker Pattern Software (BPS) was used to detect the protein peaks. Results Sixteen significantly different protein peaks were found in serum samples in NSCLC patients and healthy controls. Eight up-regulated protein peaks and eight down-regulated protein peaks (P
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Objective To check serum protein of children′s Hirschsprung′s disease(HD) and sift specific protein marker which was used in constructing of HD screening and early diagnosis of serum protein fingerprint model.Methods Surface-enhanced laser desorption/ionization time of flight mass spectrometry(SELDI-TOF-MS) was applied to detect protein mass spectrometry of serum specimens in 82 cases(HD group 42 cases,20 cases of other types of obstruction,healthy control group 20 cases) and data were analyzed by bioinformatics methods(support vector machine).Results 1.For HD group and healthy control group:selected 3 M/Z in 3 221.7,5 639.2,6 884.2 protein markers were selected,HD early screening and diagnostic model was established,3 markers in HD low expression,the expressions of them in HD group and healthy control group were 378.29?273.34,295.65?159.38,444.13?254.06 and 1 428.18?1 192.61,1 039.60?785.64,1 115.72?680.48,respectively.There were significant differences in two groups(Pa0.05).Conclusions The establishment of serum protein fingerprint model of HD by SELDI-TOF-MS support vector machine could screen and diagnose HD early,which is a new method of better specificity,high sensitivity and is worthy of further research and application.
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As the advanced technology of proteomics, the surface-enhanced laser desorption/ionization Time-of-Flight Mass Spectrometry(SELDI-TOF-MS)has great potential in clinical application for it′s technological features.Whether it can be applied in clinical trials depends on the quality control and standardization of the technology.In the article, we introduced and discussed the following aspects of the issue.1) quality controlling before sample being analyzed, including the collection and preparation of samples, the selection and conservation of reagents, the calibration and attendance of laboratory apparatus;2) quality controlling during the assay, that is, the validation and analysis of the experimental result;3) the standardization of the continued data handling and analyzing, including the standardization of the analyzed data′s nature, the selection and standardization of the data′s analyzing methods, the system evaluation of the whole SELDI-TOF-MS technological system.
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Objective To study the difference of proteomic spectra in serum of patients with colorectal cancer(CRC) in order to build a proteomic pattern and find a method for early diagnosis of CRC.Methods We screened for potential tumor biomarkers of serum samples from 48 CRC patients and 34 healthy subjects by using CM10(Ciphergen Company,USA) and the technology of Surface enhanced laser desorption/ionization time-of-flight mass spectrometry(SELDI-TOF-MS).Using Ciphergen Protein Chipsoftware 5.1,a proteomic pattern was constructed.The constructed pattern was then tested by an independent set of masked serum samples from 33 colorectal cancer patients and 34 healthy subjects.Results(1) The contents of 27 proteins in the CRC to healthy subjects groups were significantly different(P
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Urine samples from 72 patients with diabetic nephropathy (DN) were analyzed and compared to those from 33 diabetic patients without albuminuria and 29 normal controls,using SELDI-TOF-MS (surface enhanced laser desorptiort/ionization time-of-flight mass spectrometry) and Biomarker Patterns Software,to identify differences in protein profile,generate a tree analysis pattern and evaluate the validity of the decision tree.The intensities of 6 peaks detected appeared upregulated,while 11 peaks downregulated,in DN group as compared to nonDN groups more than 2 folds (P
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Objective To search for the biomarker used to determine gastric cancer by the application of protein mass spectrometry analysis. Methods The relative contents of serum proteins were detected of 38 patients with gastric cancer and 82 healthy people by IMAC3 (CipherGen Inc.) chip and proteinchip. Results At the M/Z values range from 1 723Da to 14 048Da, 18 kind of protein contents are obviously different between the two groups. In the learning mode, all the 120 testers were correctly distinguished, both the sensitivity and specificity reached to 100%. While in the test mode, 31 patients and 81 control people were correctly distinguished, the accuracy were 81 6%(31/38) and 98 8%(81/82), respectively. Conclusion Gastric cancer can be quickly and exactly diagnosed by this method with high sensitivity and specificity. That will be widely used in clinical application