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    Preliminary Application of WCX Magnetic Bead-Based Matrix-Assisted Laser Desorption Ionization Time-of-Flight Mass Spectrometry in Analyzing the Urine of Renal Clear Cell Carcinoma

    2018-01-08 07:21:45DexinDongZhigangJiHanzhongLiWeigangYanYushiZhang
    Chinese Medical Sciences Journal 2017年4期

    Dexin Dong, Zhigang Ji,* Hanzhong Li, Weigang Yan, Yushi Zhang

    Department of Urology, Peking Union Medical College Hospital,Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China

    Preliminary Application of WCX Magnetic Bead-Based Matrix-Assisted Laser Desorption Ionization Time-of-Flight Mass Spectrometry in Analyzing the Urine of Renal Clear Cell Carcinoma

    Dexin Dong, Zhigang Ji,* Hanzhong Li, Weigang Yan, Yushi Zhang

    Department of Urology, Peking Union Medical College Hospital,Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China

    renal clear cell carcinoma; proteomics; magnetic beads; urine; diagnosis model

    R ENAL clear cell carcinoma(RCCC)usually does not present obvious symptoms in its early stage.Currently, we are in short of tumor markers of RCCC to make an accurate and sensitive diagnosis,and to monitor its development in clinical practice. Most tumor markers are proteins that are abnormally expressed.By means of dynamic analysis of proteins, we can detect the minor index and early symptoms of diseases. The emphasis of proteomics is to identify the proteins that are differentially expressed in cancer. Therefore, proteomics provides an ideal technology platform for screening tumor markers of renal cell carcinoma.

    Protein fingerprinting is a new protein technology developed in recent years. It can capture subtle changes in protein during the process of tumor evolution, which makes early diagnosis possible.1Proteomics provides a novel idea and research platform for the diagnosis of renal cell carcinoma. Tested specimens of renal cell carcinoma in proteomics technology are mainly serum,urine and cell lines. In this study we used bead-based MALDI-TOF MS to identify the characteristics of protein expression in the urine of patients with renal clear cell carcinoma, in order to find the specific protein peaks that can be used for an early diagnosis and treatment of renal cell carcinoma.2,3

    MATERIALS AND METHODS

    Subjects investigated

    This study has been approved by the institutional ethics review committee. From March 2010 to April 2010 in the Department of Urology, Peking Union Medical College Hospital, a total of 11 patients with newly diagnosed renal clear cell carcinoma were enrolled in the study, including 10 males and 1 female, aged from 46 to 78 years, with an average of 63.0 years old. Clinical diagnosis was established by imaging examinations such as ultrasonography, CT, or MRI. The pathological diagnosis of RCCC was confirmed by biopsy or surgery. Clinical TNM staging was as following: 3 cases of stage Ia, 7 cases of stage Ib, 1 case of stage Ⅱ,and 1 case of stage Ⅳ. Six cases had laparoscopic nephron sparing surgery, 4 cases had laparoscopic radical nephrectomy, and 1 case had targeted drug therapy of SUTENT after biopsy. The urine routine examination is completely normal.

    Ten healthy volunteers were recruited as normal controls. All were males, aged from 25 to 32, with an average of 28.7 years old. They were negative in physical examination, and the routine examinations of urine were completely normal.

    Urine specimen collection and preparation

    We collected the second middle clean urine of every participant at 7 o’clock in the morning after fasting from solids and liquids for 9 hours. After centrifugation at a speed of 2000 rpm for 5 minutes, the supernatant was obtained and packed in Eppendorf tubes, frozen in a lowtemperature refrigerator under ?80℃ till use. The procedure was done within 30 minutes.

    After being taken out from refrigerator, 30ul urine was put into a tube that contained magnetic bead binding buffer, magnetic beads, and magnetic beads elution buffer.They were homogeneously mixed together for at least five times, and kept at room temperature till use.

    Preparation of weak cation bead

    10ul bead binding buffer and 10ul beads (Bruker Daltonics Inc. USA) were mixed in a 200ul sample tube; then 5ul urine was put into the sample tube and mixed together.The sample tube was put into a magnetic bead separator,and supernatant liquid was sucked out after separation.Then added 100 ul beads in the sample tube, put into a magnetic separator, and then removed the supernatant. This procedure was repeated twice to ensure that the suspension was absorbed completely. Next, 5ul beads elution buffer was put into the sample tube, and the tube was placed in a magnetic bead separator. After the magnetic beads were fully separated from the suspension liquid, the supernatant was transferred into a 50ul sample tube. Then 5ul magnetic stabilization buffer was put into the tube and mixed for use.

    Examination of standard sample

    We dissolved 1ul standard sample with 10ul matrix at room temperature. 1ul mixture liquid was placed in the standard position of target Anchor chip at room temperature and in dry environment. The Anchor chip target was put into the mass spectrometer (Autoflex?, Bruker Daltonics Inc.,USA), with the selection method of LP Clinprot and the acquisition range of 1000-13000Da. The composition and the mass spectrometry of the standard sample were as shown in Fig. 1.

    Examination of urine samples

    At room temperature in a dry environment, 1ul of sampletreated magnetic beads was placed in the sample target position of Anchor chip. American MALDI-TOF-MS mass spectrometer(AutoflexTM, Bruker Daltonics Inc., USA) was applied. The Anchor chip target was placed into the mass spectrometer, with a linear mode and an acquisition range of 800-10 000 Da.

    Data processing

    According to the characteristics of the overall waveform,the unqualified atlas was removed, and molecular weights in the low molecular weight area were corrected.The range of molecular weight was 1 000-10 000 Da, and the molecular weight was adjusted by the standard sample. Data of mass spectrometry were analyzed following the workflow of ClinProTools2.2 (Bruker Daltonics Inc.,USA), which is a mass spectrometry-based biomarker analysis software to screen the characteristic proteins in the urine of renal clear cell carcinoma for diagnosis.Genetic algorithms and the support vector machine were used to establish a predictive model. P<0.05 was considered statistically significant.

    RESULTS

    Difference of the protein peaks of urine between RCCC patients and normal controls

    Mass spectrometry identified 160 protein peaks in the urine of patients with RCCC that were different from those of the normal controls. The molecular weight ranged from 1000 to 10 000 Da (Fig. 2). The gel simulation schematic diagram demonstrated a protein peak with the molecular weight of 2221.71 Da, which was significantly different from the normal controls (P=0.0304) (Fig. 3).

    Figure 1. The composition and the mass spectrum of the standard sample.

    Figure 2. Protein peak spectrum of renal clear cell carcinoma patients and the normal controls.

    Figure 3. The gel simulation schematic diagram of urine protein spectrums.

    Establishing diagnosis model with genetic algorithms

    A diagnostic model for RCCC was established with genetic algorithms by ClinProTools2.2 software. Genetic algorithms identified 13 specific protein peeks for the predictive model.The molecular weights of these protein peaks were listed in the Table 1.

    DISCUSSION

    The incidence of renal cancer has been steadily increasing worldwide.4,5The early stage of renal cell carcinoma usually has no symptoms, and the diagnosis mainly relies on medical imaging such as ultrasound, CT and/or MRI.When a patient has the "kidney cancer triad" that is hematuria, lumbago and abdominal mass, it is often in the advanced stage. It is urgent to find accurate and sensitive markers for screening and the early diagnosis of renal cell carcinoma in order to improve the outcome of this lifethreatening disease.

    MALDI-TOF MS technology was developed on the base of traditional 2D gel electrophoresis proteomics technology.It collects a variety of protein peaks by molecular weight ranged from 1 000 Da to 10 000 Da. The molecular weights of many identified significant proteins are below 5 000 Da,while the minimum molecular weight that classical proteomics technique, such as 2D gel electrophoresis, is capable to detectis between 4 000 Da and 5 000 Da. Therefore, MALDI-TOF MS technology has obvious advantages in identifying differentially expressed proteins of small molecular weight.It is simple, rapid, with high purity, and suitable for clinical application.6-8When the magnetic beads chip is adopted,protein isolation can be repeatedly implemented for times,9which results in good consistency, feasibility and credibility.

    Table 1. The selected 13 specific protein peaks of urine for the diagnostic model of RCCC (n=11)

    In this study we used ClinProTools software to screen urinary proteins of RCCC patients in order to identify the featured proteins that were different from those of normal controls. Mass spectrometry identified 160 protein peaks,with molecular weights ranged from 1 000-10 000 Da. Among them we found a significant protein peak with the molecular weight of 2 221.71 Da, which can be used as a potential marker for the early diagnosis and follow-up of renal clear cell carcinoma.

    Genetic algorithms were used in this study to establish a predictive model based on the characteristic protein spectrum we found in RCCC patients. A genetic algorithm is a global optimization algorithm, which has been developed in recent years. The ClinProTools2.2 software we used in this study comprehensively integrated biological genetics, natural selection, heredity, variation and other mechanisms to achieve individual adaptability and improve problem solving effect.10With this technique support, this study established a predictive model of thirteen characteristic protein peaks in urine for the diagnosis of RCCC.Further investigation with an expanded sample is needed to confirm the characteristic expression of proteins found in this study, and the validity of the predictive model needs to be tested with fresh samples in clinical practice.

    In conclusion, this preliminary study of proteomics technology identified characteristic protein peaks in the urine of patients with renal clear cell carcinoma, and established a predictive model without blind validation. The results of this study implied that applying proteomics technology to test urine is promising for screening suspi-cious patients of RCCC,and further investigations are needed in the future.

    Conflict of interests statement

    The authors have no conflict of interests to declare.

    1. Chow WH, Devesa SS, Warren JL, Fraumeni JF Jr. Rising incidence of renal cell cancer in the United States. JAMA 1999; 281: 1628-31.doi: 10.1001/jama.281.17.1628.

    2. Aebersold R, Mann M. Mass spectrometry-based proteomics. Nature 2003; 422(6928): 198-207. doi: 10.1038/nature01511.

    3. Kumarathasan P, Mohottalage S, Goegan P, Vincent R. An optimized protein in-gel digest method for reliable proteome characterization by MALDI-TOF-MS analysis. Anal Biochem 2005; 346: 85-9. doi: 10.1016/j.ab.2005. 06.004.

    4. Yang X, Xi C, Jin J, Zhou L, Su J, Liu L, et al. Adult renal cell carcinoma with rhabdoid differentiation: incidence and clinicopathologic features in Chinese patients. Ann Diagn Pathol 2015; 19: 57-63. doi: 10.1016/j.anndiagpath.2015. 01. 006.

    5. Hollingsworth JM, Miller DC, Daignault S, Hollenbeck BK.Rising incidence of small renal masses: a need to reassess treatment effect. J Natl Cancer Inst 2006; 98: 1331-4. doi: 10.1093/jnci/djj362.

    6. Weinberger SR, Dalmasso EA, Fung ET. Current achievements using ProteinChip? Array Technology. Curr Opin Chem Biol 2002; 6: 86-91. doi: 10.1016/s1367-5931(01)00282-4.

    7. Wong MY, Yu KO, Poon TC, Ang IL, Law MK, Chan KYW, et al. A magnetic bead-based serum proteomic fingerprinting method for parallel analytical analysis and micropreparative purification. Electrophoresis 2010; 31:1721-30. doi:10.1002/elps.200900 571.

    8. Giebel R, Worden C, Rust SM, Kleinheinz GT, Robbins M,Sandrin TR. Microbial fingerprinting using matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF MS) applications and challenges. Adv Appl Microbiol 2010; 71:149-84. doi: 10.1016/S0065-2164(10)71006-6.

    9. Fung, ET, Wright GL Jr, Dalmasso EA. Proteomic strategies for biomarker identification: progress and challenges.Curr Opin Mol Ther 2000; 2: 643-50.

    10. Ghaheri A, Shoar S, Naderan M, Hoseini SS. The Applications of genetic algorithms in medicine. Oman Med J 2015; 30: 406-16. doi: 10.5001/omj.2015.82.

    March 17, 2017.

    * Corresponding author Tel: 86-10-69152520,E-mail: jzg1129@medmail.com.cn

    ObjectiveTo evaluate the application of weak cation exchange (WCX) magnetic bead-based Matrix-Assisted Laser Desorption Ionization Time-of-Flight Mass Spectrometry (MALDI-TOF MS) in detecting differentially expressed proteins in the urine of renal clear cell carcinoma (RCCC) and its value in the early diagnosis of RCCC.

    MethodsEleven newly diagnosed patients (10 males and 1 female, aged 46-78, mean 63 years) of renal clear cell carcinoma by biopsy and 10 healthy volunteers (all males, aged 25-32, mean 29.7 years) were enrolled in this study. Urine samples of the RCCC patients and healthy controls were collected in the morning.Weak cation exchange (WCX) bead-based MALDI-TOF MS technique was applied in detecting differential protein peaks in the urine of RCCC. ClinProTools2.2 software was utilized to determine the characteristic proteins in the urine of RCCC patients for the predictive model of RCCC.

    ResultsThe technique identified 160 protein peaks in the urine that were different between RCCC patients and health controls; and among them, there was one peak (molecular weight of 2221.71 Da) with statistical significance (P=0.0304). With genetic algorithms and the support vector machine, we screened out 13 characteristic protein peaks for the predictive model.

    ConclusionsThe application of WCX magnetic bead-based MALDI-TOF MS in detecting differentially expressed proteins in urine may have potential value for the early diagnosis of RCCC.

    10.24920/J1001-9294.2017.046

    ERRATUM

    In the Volume 32 Number 2 of Chinese Medical Sciences Journal, in the original article titled Prevalence of Carbapenem-Resistant Klebsiella Pneumoniae (CRKP) and the Distribution of class 1 Integron in Their Strains Isolated from a Hospital in Central China,the author Chunfang Yu and the author Bei Li contributed equally and should be both marked as the corresponding author. The correspondence information of the author Chunfang Yu is: Tel: 86-0719-8891151, 86-15972591221;E-mail: 3044699970@qq.com

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