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Int. J. Mol. Sci. 2012, 13(12), 16737-16750; doi:10.3390/ijms131216737
Published: 7 December 2012
Abstract: Inhibitor of apoptosis protein-like protein-2 (ILP-2) has only been detected in the testis and in lymphoblastoid cells. Although previous studies have not reported the presence of ILP-2 in breast cancer tissues, this study indicates the presence of ILP-2 in breast cancer serum samples. To validate whether ILP-2 is a novel serological biomarker for breast cancer, we conducted two-dimensional gel electrophoresis (2DE) and matrix-assisted laser desorption/ionization-time of flight mass spectrometry analysis on 400 breast cancer serum samples and 40 non-cancer serum samples (i.e., healthy controls). We then performed a Western blot analysis of 10 breast cancer serum samples and 10 non-cancer serum samples. Finally, we analyzed 35 serum samples from healthy controls or subjects with breast cancer, other types of cancer, galactophore hyperplasia or breast cancer post-surgery by using 2DE and enzyme-linked immunosorbent assay. Our results indicate that ILP-2 is a novel breast cancer biomarker in the peripheral blood.
Breast cancer is the most common type of cancer that affects women and accounts for 23% of all cancers . The incidence of breast cancer is estimated to increase by approximately 0.5% annually . Despite improvements in breast cancer therapy, more than one-fourth of patients diagnosed with breast carcinoma eventually die from the disease . Thus, early diagnosis and effective therapies for breast cancer are necessary.
The use of biomarkers is an effective diagnostic method for breast cancer. However, a limited number of biomarkers for breast cancer have been validated for clinical application . Therefore, the identification of a novel biomarker related to breast oncogenesis is essential.
Inhibitors of apoptosis proteins (IAPs) are apoptosis inhibitors that may protect against apoptotic stimuli and suppress apoptotic cell death . Eight human IAP proteins have been identified: XIAP [5,6], c-IAP1 , c-IAP2 , NAIP , ML-IAP [9,10], survivin [11,12], BRUCE  and inhibitor of apoptosis protein-like protein-2 (ILP-2) [14,15]. ILP-2 is the most recent member of the human IAP family to be identified [14,15].
ILP-2 has been mapped to chromosome 19q13.3–13.4 . This biomarker has only been detected in humans and great apes . In normal tissues, ILP-2 gene expression has only been detected in the testis and in lymphoblastoid cells . ILP-2 over-expression did not protect against Fas- or tumor necrosis factor-mediated cell death, but prevented cell death induced by Bax or caspase-9 in vitro[14,15].
Although no study has reported ILP-2 expression in breast cancer tissues, our results indicate the presence of ILP-2 in breast cancer serum samples. Questions, such as why ILP-2 exists in breast cancer serum samples, is there a correlation between ILP-2 and breast carcinogenesis and is ILP-2 is novel serological biomarker for breast cancer, remain unanswered.
To validate the correlation between ILP-2 and breast cancer and to determine whether ILP-2 is a novel biomarker for breast cancer, we first applied comparative proteomics and immunological methods to breast cancer and non-cancer serum samples. Subsequently, we performed the same procedures on serum samples from subjects with other types of cancer, galactophore hyperplasia and breast cancer post-surgery. Our results suggest that ILP-2 is a novel serological biomarker for breast carcinogenesis.
2. Results and Discussion
2.1. Comparison of Serum Proteins with 2DE
The serum proteomic analysis was performed with 2DE. Two iterations showed the reliability and reproducibility of the experimental results. More than 100 protein spots were thoroughly separated, although highly abundant proteins interfered with the map (Figure 1A,B). Comparing the 2DE map of the breast cancer serum sample with that of the non-cancer serum sample, we observed three protein spots in the breast cancer serum sample that showed a two-fold or greater change in expression level (Figure 1A,B). Protein spots 1, 2, and 3 were increased in the breast cancer sample by 21.9-, 4.2- and 2.03-fold, respectively (Figure 1C).
2.2. Peptide Mass Fingerprinting Analysis
The three protein spots that were significantly increased in the breast cancer serum sample gel were excised and analyzed with MALDI-TOF-MS to obtain the peptide sequences (Figure 2).
Using the NCBI GenBank database, we matched the peptides to three protein sequences (Figure 2). The proteins were identified as the human crystal structure of the Fxia catalytic domain in complex with ecotinm84r (spot 1 in Figures 1 and 2A), the haptoglobin alpha (2FS)-beta precursor (HP) (spot 2 in Figures 1 and 2B) and ILP-2 (spot 3 in Figures 1 and 2C) (see Table 1 for details).
2.3. Western Blot Analysis of the ILP-2 Levels in the Breast Cancer and Non-Cancer Serum Samples
Of the three proteins, only ILP-2 has been previously associated with cancer ; thus, we focused further studies on ILP-2. To validate the ILP-2 expression change in the breast cancer serum sample, we performed Western blot analysis on 10 breast cancer serum samples and 10 non-cancer serum samples (Figure 3A). Eight of the 10 breast cancer serum samples had increased ILP-2 levels compared to the non-cancer serum samples (Figure 3B). After normalizing the data to GAPDH levels, the average level of ILP-2 was 0.86 in the breast cancer serum samples and 0.19 in the non-cancer serum samples. The ILP-2 levels in the breast cancer serum samples were significantly higher than in the non-cancer serum samples using Student’s t-test (Figure 3C).
2.4. Comparison of 2DE with Five Types of Serum Samples
Serum samples from 35 subjects with breast cancer, other types of cancer, galactophore hyperplasia, breast cancer post-surgery or without cancer were analyzed with 2DE (Figure 4). ILP-2 was present in the serum samples from breast cancer, breast cancer post-surgery and other cancer subjects, whereas there was no ILP-2 present in the serum samples from healthy subjects or subjects with galactophore hyperplasia. Moreover, sera from subjects with breast cancer had increased ILP-2 levels compared to the other serum samples.
2.5. ELISA Analysis of ILP-2 Levels in Five Types of Serum Samples
An ELISA was performed to further validate the ILP-2 differences in the serum samples of 35 subjects (Figure 5). Although ILP-2 was present in all five types of serum samples, the sera from breast cancer subjects had significantly increased ILP-2 levels compared to the other serum samples. Furthermore, sera from post-surgery breast cancer patients had significantly less ILP-2 protein than the other serum samples, including the samples from breast cancer patients.
ILP-2 is the most recent apoptosis inhibitor to be identified [14,15] and has only been detected in the testis and in lymphoblastoid cells . There are no previous studies on ILP-2 in breast cancer tissues and in sera from breast cancer patients.
From a medical perspective, a serum sample is the most informative proteome source, because numerous cells communicate through the secretion of soluble proteins into the blood [17,18]. Furthermore, serum analysis is a convenient method to diagnose breast cancer with a peripheral blood sample . The correlation between ILP-2 and breast carcinogenesis and the potential of ILP-2 as a serological biomarker for breast cancer remain unclear.
We performed 2DE and MALDI-TOF analysis on 400 pooled samples of sera from breast cancer patients and 40 pooled samples of sera from healthy control subjects, and we identified ILP-2 expression in the breast cancer serum samples (Figures 1 and 2, Table 1). ILP-2 was present in the breast cancer serum samples, but not in the control serum samples.
Western blot analysis was performed on 10 breast cancer serum samples and 10 non-cancer serum samples to validate the correlation between ILP-2 and breast cancer (Figure 3). The results indicate increased levels of ILP-2 in the breast cancer serum samples compared to the non-cancer serum samples.
Then, we performed 2DE and MALDI-TOF analysis on 35 samples of sera from healthy subjects and subjects with other types of cancers, galactophore hyperplasia, breast cancer post-surgery and breast cancer according to previously described methods (Figures 2C and 4). The serum samples from subjects with breast cancer, breast cancer post-surgery and other cancer types contained ILP-2, whereas no ILP-2 was measured in the serum samples from galactophore hyperplasia and healthy control subjects. Moreover, the breast cancer serum samples had increased ILP-2 protein levels compared to the other serum samples.
Thereafter, we used an ELISA to analyze the 35 serum samples (Figure 5). The non-cancer serum samples were collected before the ELISA analysis. PMSF was added to the sample at 1 mM concentration, and the mixture was frozen at −80 °C. Despite the presence of ILP-2 in the serum samples from galactophore hyperplasia, breast cancer post-surgery, other types of cancer and non-cancer subjects, the ILP-2 protein levels were increased in the serum samples from breast cancer patients.
3. Materials and Methods
3.1. Ethical Statement
This study was approved by the Gannan Medical University Ethical Committee. Written informed consent was obtained from all patients before their participation in this study.
Breast cancer serum samples were collected from Stage 3 breast cancer patients who were diagnosed in accordance with the breast cancer pathology standard. The same procedure was applied to the serum samples from subjects with other types of cancers (Table 2). The average age of the breast cancer patients was 45 years, and the average age of the women with other types of cancers was 40 years.
Whole blood (5 mL) was collected from the cubital vein and then transferred to a clear, empty tube. The sample was incubated at room temperature for 2 h and then centrifuged at 1500× g for 10 min at 4 °C. The supernatant (80 μL) was transferred into an Eppendorf (EP) tube and 1 mM phenylmethylsulfonylfluoride (PMSF, Sigma, St. Louis, MO, USA) was added. The sample was stored in a freezer at −80 °C .
3.3. Serum Sample Preparation for Two-Dimensional Gel Electrophoresis (2DE)
The sera from 400 breast cancer patients and from 40 women without cancer were mixed separately. The mixtures comprised 50 μL serum from each sample. The mixed sera were centrifuged at 1500× g for 30 min at 4 °C. The supernatant was processed by using the Aurum™ Serum Protein Mini Kit (Bio-Rad, Hercules, CA, USA), according to the manufacturer’s instructions. The depleted sample (with albumin and IgG removed) was used for 2DE .
3.4. Protein Quantification
The protein concentration of the serum sample was quantified with the improved Bradford method .
Samples of 35 μL of breast cancer sera and non-cancer sera (the undiluted sera) were transferred into separate, clear EP tubes. Then, 400 μL of the hydration solution (7 M urea, 2 M thiourea, 2% CHAPS (3-((3-cholamidopropyl)dimethylammonio)-1-propanesulphonate), 0.2% (w/v) Bio-Lyte (Bio-Rad, Hercules, CA, USA), 2% SB3-10 (N-decyl-N,N-dimethyl-3-ammonio-1-propanesulphonate) and 65 mM DTT (dithiothreitol, Sigma, St. Louis, MO, USA) was added to the sera and incubated at 25 °C for 2 h. The mixture was then added into a hydrate groove. An immobilized 17 cm pH gradient strip (pH 3–10, Bio-Rad, Hercules, CA, USA) was placed in the mixture and rehydrated at 25 °C for 16 h . The isoelectric focusing (IEF) process involved the use of a 250 V linear ramp for 1 h, a 1000 V linear ramp for 1 h, a 4000 V linear ramp for 2 h, an 8000 V linear ramp for 3 h, an 8000 V rapid ramp for 10 h and a 500 V rapid ramp for 30 min with a PROTEIN IEF System (Bio-Rad, Hercules, CA, USA) . After the IEF, each gel strip was equilibrated with 6 mL buffer I (6 M urea, 30% glycerol, 2% SDS, 0.375 M Tris-HCl pH 8.8 and 0.18 g/strip DTT) for 15 min and then with 6 mL buffer II (6 M urea, 30% glycerol, 2% SDS, 0.375 M Tris-HCl pH 8.8 and 0.225 g/strip iodoacetamide) for 15 min. The equilibrated gel strip was placed on top of a 12% sodium dodecyl sulphate polyacrylamide gel and then sealed with an agarose overlay (Bio-Rad, Hercules, CA, USA). The sodium dodecyl sulphate polyacrylamide gel electrophoresis (SDS-PAGE) was performed with 12 mA/per gel for 30 min and then with 25 mA/per gel until the bromophenol blue reached the bottom of the gels . The gels were then stained with a silver-staining procedure [26,27].
The same method was applied to the 35 serum samples from the healthy control subjects and the subjects with other types of cancers, galactophore hyperplasia, breast cancer post-surgery and breast cancer.
3.6. Protein Spot Change Analysis and Peptide Mass Analysis
Changes in the protein spots of the 2DE maps between the breast cancer serum sample and the non-cancer serum sample were analyzed with the Melanie 3 Viewer. The spots that exhibited at least a two-fold change between the sample gels were excised and then transferred to a clear EP tube. The proteins were digested with the in-gel trypsin method, and the extracted peptides were dissolved in an equivalent volume of an α-cyano-4-hydroxycinnamic acid solution. After air-drying, the samples were placed on a stainless steel plate and desalted with 0.1% trifluoroacetic acid, and the peptides were identified with the Voyager DE Pro matrix-assisted laser desorption/ionization-time of flight (MALDI-TOF) mass spectrograph (Applied Biology System Company, Foster City, CA, USA) [31–33]. In the MALDI-TOF-mass spectrometry (MS) analysis, the extracted peptides were identified with the reflection mode and the positive ion spectrum. We applied adrenocorticotropic hormone for calibration and identified the peptide mass fingerprint using the Mascot Distiller (Matrix Science, London, UK). The detailed search parameters are listed in Table 3. The peptide match score was above 4, and the Mascot total score was above 64, which are regarded as statistically significant [34–36]. The same method was applied to the 35 serum samples from the healthy control subjects and the subjects with other cancer types, galactophore hyperplasia, breast cancer post-surgery and breast cancer.
3.7. Western Blot Analysis
A volume of 50 μL breast cancer serum or 50 μL non-cancer serum was separately diluted into 400 μL phosphate buffer. These sera mixtures were from 10 breast cancer patients and 10 healthy control subjects. The mixtures were centrifuged at 10,000× g for 20 min at 4 °C. The supernatant was collected, and then an equal volume of 2× loading buffer (100 mM Tris-HCl pH 6.8, 250 mM DTT, 10% β-ME, 4% SDS, 0.2% bromophenol blue and 20% glycerol) (Sigma, St. Louis, MO, USA) was added. The mixture was boiled for 10 min. A 20 μL/well sample was loaded onto 12% SDS-polyacrylamide gels . The proteins were transferred to a polyvinylidene difluoride membrane . Western blot analysis was performed by using a rabbit anti-human ILP-2 primary antibody (Abnova, Walnut, CA, USA) and a peroxidase-conjugated goat anti-rabbit IgG (Promega, Madison, WI, USA) . An enhanced chemiluminiscence detection system (ECL-plus, Beytime, Haimen, China) was used to visualize the immunoreactive proteins via exposure to X-ray film (Tianguang, Tianjin, China). The rabbit anti-human ILP-2 (Promega, Madison, WI, USA) and rabbit anti-human GAPDH (Santa Cruz Biotechnology Inc., Santa Cruz, CA, USA) antibodies were diluted at 1:500 and 1:250, respectively. Signal intensity was quantified through densitometry. The signals were normalized to GAPDH [40–42].
3.8. Enzyme-Linked Immunosorbent Assay (ELISA) Analysis
A total of 35 serum samples from healthy subjects and subjects with other cancer types, galactophore hyperplasia, breast cancer post-surgery and breast cancer were diluted 40,000-fold and then analyzed according to the kit instructions (USCNLIFE, Missouri, TX, USA) [43,44]. The ELISA was performed on every serum sample in triplicate. The optical density of each sample was measured with a microplate reader at 450 nm [45,46].
3.9. Statistics Analysis
The results were presented as X ± SD. Statistical analysis was performed using Student’s t-test, analysis of variance (ANOVA) or Tukey’s test with SPSS 11.5. A value of p < 0.05 was considered statistically significant.
In this study, we analyzed the ILP-2 levels of serum samples from women without cancer and women with breast cancer, galactophore hyperplasia, breast cancer post-surgery and other types of cancer. Although a significant amount of work needs to be conducted concerning ILP-2, these results suggest that ILP-2 is a novel serum biomarker for breast cancer. Our work states that ILP-2 can be a breast cancer biomarker, but can also be detected in other cancer samples. Therefore, related validation work needs to continue in further analyses.
The authors acknowledge financial support from the Project Supported by Scientific Research Fund of Jiangxi Provincial Education Department of China (No. GJJ10571), the Project supported by Jiangxi Provincial Natural Science Foundation of China (No. 2010GZY0007), the Project Supported by Scientific Research Fund for the introduction staff in Jishou University of China (No. jsdxrcyjkyxm201109), the Project Supported by Scientific Research Fund of Hunan Provincial Education Department of China (No. 12A112), the Project Supported by Key project of Jiangxi Medical Science and technology development Foundation (20094013 and GJJ10028) and the Project Supported by the Specialized Research Fund for the Doctoral Program of Higher Education of China (No. 20114320120005). The authors thank our colleagues from the Department of Biochemistry and Molecular Biology, College of Medical Science, Jishou University, Jishou, China and from Gannan Medical University, Ganzhou, China.
- Jemal, A.; Siegel, R.; Ward, E.; Murray, T.; Xu, J.; Smigal, C.; Thun, M.J. Cancer statistics, 2006. CA Cancer J. Clin 2006, 56, 106–130. [Google Scholar]
- Parkin, D.M.; Bray, F.; Ferlay, J.; Pisani, P. Global cancer statistics, 2002. CA Cancer J. Clin 2005, 55, 74–108. [Google Scholar]
- Fu, X.L. Common Malignant Tumors in Breast Cancer Diagnosis and Treatment Volumes; Beijing Medical University and Peking Union Medical College in China Joint Press: Beijing, China, 1999. [Google Scholar]
- Shin, H.; Renatus, M.; Eckelman, B.P.; Nunes, V.A.; Sampaio, C.A.M.; Salvesen, G.S. The BIR domain of IAP-like protein 2 is conformationally unstable: Implications for caspase inhibition. Biochem. J 2005, 385, 1–10. [Google Scholar]
- Salvesen, G.S.; Duckett, C.S. IAP proteins: Blocking the road to death’s door. Nat. Rev. Mol. Cell Biol 2002, 3, 401–410. [Google Scholar]
- Deveraux, Q.L.; Takahashi, R.; Salvesen, G.S.; Reed, J.C. X-linked IAP is a direct inhibitor of cell death proteases. Nature 1997, 388, 300–304. [Google Scholar]
- Roy, N.; Deveraux, Q.L.; Takahashi, R.; Salvesen, G.S.; Reed, J.C. The c-IAP-1 and c-IAP-2 proteins are direct inhibitors of specific caspases. EMBO J 1997, 16, 6914–6925. [Google Scholar]
- Maier, J.K.X.; Lahoua, Z.; Gendron, N.H.; Fetni, R.; Johnston, A.; Davoodi, J.; Rasper, D.; Roy, S.; Slack, R.S.; Nicholson, D.W.; et al. The neuronal apoptosis inhibitory protein is a direct inhibitor of caspases 3 and 7. J. Neurosci 2002, 22, 2035–2043. [Google Scholar]
- Vucic, D.; Stennicke, H.R.; Pisabarro, M.T.; Salvesen, G.S.; Dixit, V.M. ML-IAP, a novel inhibitor of apoptosis that is preferentially expressed in human melanomas. Curr. Biol 2000, 10, 1359–1366. [Google Scholar]
- Kasof, G.M.; Gomes, B.C. Livin, a novel inhibitor of apoptosis protein family member. J. Biol. Chem 2001, 276, 3238–3246. [Google Scholar]
- Conway, E.M.; Pollefeyt, S.; Cornelissen, J.; DeBaere, I.; Steiner-Mosonyi, M.; Ong, K.; Baens, M.; Collen, D.; Schuh, A.C. Three differentially expressed survivin cDNA variants encode proteins with distinct antiapoptotic functions. Blood 2000, 95, 1435–1442. [Google Scholar]
- Shin, S.; Sung, B.J.; Cho, Y.S.; Kim, H.J.; Ha, N.C.; Hwang, J.I.; Chung, C.W.; Jung, Y.K.; Oh, B.H. An anti-apoptotic protein human survivin is a direct inhibitor of caspase-3 and -7. Biochemistry 2001, 40, 1117–1123. [Google Scholar]
- Bartke, T.; Pohl, C.; Pyrowolakis, G.; Jentsch, S. Dual role of BRUCE as an antiapoptotic IAP and a chimeric E2/E3 ubiquitin ligase. Mol. Cell 2004, 14, 801–811. [Google Scholar]
- Richter, B.W.M.; Mir, S.S.; Eiben, L.J.; Lewis, J.; Reffey, S.B.; Frattini, A.; Tian, L.; Frank, S.; Youle, R.J.; Nelson, D.L.; et al. Molecular cloning of ILP-2, a novel member of the inhibitor of apoptosis protein family. Mol. Cell Biol 2001, 21, 4292–4301. [Google Scholar]
- Lagacé, M.; Xuan, J.Y.; Young, S.S.; McRoberts, C.; Maier, J.; Rajcan-Separovic, E.; Korneluk, R.G. Genomic organization of the X-linked inhibitor of apoptosis and identification of a novel testis-specific transcript. Genomics 2001, 77, 181–188. [Google Scholar]
- Swatton, J.E.; Prabakaran, S.; Karp, N.A.; Lilley, K.S.; Bahn, S. Protein profiling of human postmortem brain using 2-dimensional fluorescence difference gel electrophoresis (2-D DIGE). Mol. Psychiatry 2004, 9, 128–143. [Google Scholar]
- Chang, J.W.; Kang, U.B.; Kim, D.H.; Yi, J.K.; Lee, J.W.; Noh, D.Y.; Lee, C.; Yu, M.H. Identification of circulating endorepellin LG3 fragment: Potential use as a serological biomarker for breast cancer. Proteomics Clin. Appl 2008, 2, 23–32. [Google Scholar]
- Hu, S.; Loo, J.A.; Wong, D.T. Human body fluid proteome analysis. Proteomics 2006, 6, 6326–6353. [Google Scholar]
- Karsan, A.; Eigl, B.J.; Flibotte, S.; Gelmon, K.; Switzer, P.; Hassell, P.; Harrison, D.; Law, J.; Hayes, M.; Stillwell, M.; et al. Analytical and preanalytical biases in serum proteomic pattern analysis for breast cancer diagnosis. Clin. Chem 2005, 51, 1525–1528. [Google Scholar]
- Görg, A.; Postel, W.; Günther, S. Two-dimensional electrophoresis, the current state of two-dimensional electrophoresis with immobilized pH gradients. Electrophoresis 1988, 9, 531–546. [Google Scholar]
- Smithies, O.; Poulik, M.D. Two-dimensional electrophoresis of serum proteins. Nature 1956, 177, 1033. [Google Scholar]
- Ramagli, L.S. Quantifying protein in 2-D PAGE solubilization buffers. Methods Mol. Biol 1999, 112, 99–103. [Google Scholar]
- Herbert, B.; Calvani, M.; Hamdan, M.; Olivieri, E.; MacCarthy, J.; Pedersen, S.; Righetti, P.G. Reduction and alkvlalion of proteins in preparation of two-dimensional map analysis: Why, when, and how? Electrophoresis 2001, 22, 2046–2057. [Google Scholar]
- Alban, A.; David, S.O.; Bjorkesten, L.; Andersson, C.; Sloge, E.; Lewis, S.; Currie, I. A novel experimental design for comparative two-dimensional gel analysis: Two-dimensional difference gel electrophoresis incorporating a pooled internal standard. Proteomics 2003, 3, 36–44. [Google Scholar]
- Hu, Y.; Malone, J.P.; Fagan, A.M.; Townsend, R.R.; Holtzman, D.M. Comparative proteomic analysis of intra- and interindividual variation in human cerebrospinal fluid. Mol. Cell Proteomics 2005, 4, 2000–2009. [Google Scholar]
- Mortz, E.; Krogh, T.N.; Vorum, H.; Görg, A. Improved silver staining protocols for high sensitivity protein identification using matrix-assisted laser desorption/ionization-time of flight analysis. Proteomics 2001, 1, 1359–1363. [Google Scholar]
- Knowles, M.R.; Cervino, S.; Skynner, H.A.; Hunt, S.P.; de Felipe, C.; Salim, K.; Meneses-Lorente, G.; McAllister, G.; Guest, P.C. Multiplex proteomic analysis by two-dimensional differential in-gel electrophoresis. Proteomics 2003, 3, 1162–1171. [Google Scholar]
- Karp, N.A.; Griffin, J.L.; Lilley, K.S. Application of partial least squares discriminant analysis to two-dimensional difference gel studies in expression proteomics. Proteomics 2005, 5, 81–90. [Google Scholar]
- Lee, I.N.; Chen, C.H.; Sheu, J.C.; Lee, H.S.; Huang, G.T.; Yu, C.Y.; Lu, F.J.; Chow, L.P. Identification of human hepatocellular carcinoma-related biomarkers by two-dimensional difference gel electrophoresis and mass spectrometry. J. Proteome Res 2005, 4, 2062–2069. [Google Scholar]
- Zhou, G.; Li, H.; DeCamp, D.; Chen, S.; Shu, H.; Gong, Y.; Flaig, M.; Gillespie, J.W.; Hu, N.; Taylor, P.R.; et al. 2D differential in-gel electrophoresis for the identification of esophageal scans cell cancer-specific protein markers. Mol. Cell Proteomics 2002, 1, 117–123. [Google Scholar]
- Shevchenko, A.; Wilm, M.; Vorm, O.; Mann, M. Mass spectrometric sequencing of proteins from silver-stained polyacrylamide gels. Anal. Chem 1996, 68, 850–858. [Google Scholar]
- Lee, K.; Bae, D.; Lim, D. Evaluation of parameters in peptide mass fingerprinting for protein identification by MALDI-TOF mass spectrometry. Mol. Cells 2002, 13, 175–184. [Google Scholar]
- Karas, M.; Hillenkamp, F. Laser desorption ionization of proteins with molecular masses exceeding 10,000 daltons. Anal. Chem 1988, 60, 2299–2301. [Google Scholar]
- Mann, M.; Hendrickson, R.C.; Pandey, A. Analysis of proteins and proteomes by mass spectrometry. Annu. Rev. Biochem 2001, 70, 437–473. [Google Scholar]
- Ficarro, S.B.; McCleland, M.L.; Stukenberg, P.T.; Burke, D.J.; Ross, M.M.; Shabanowitz, J.; Hunt, D.F.; White, F.M. Phosphoproteome analysis by mass spectrometry and its application to Saccharomyces cerevisiae. Nat. Biotechnol 2002, 20, 301–305. [Google Scholar]
- Galvani, M.; Hamdan, M.; Herbert, B.; Righetti, P.G. Alkylation kinetics of proteins in preparation for two-dimensional maps: A matrix assisted laser desorption/ionization-mass spectrometry investigation. Electrophoresis 2001, 22, 2058–2065. [Google Scholar]
- Seo, H.S.; Choi, H.S.; Choi, H.S.; Choi, Y.K.; Um, J.Y.; Choi, I.; Shin, Y.C.; Ko, S.G. Phytoestrogens induce apoptosis via extrinsic pathway, inhibiting nuclear factor-κB signaling in HER2-overexpressing breast cancer cells. Anticancer Res 2011, 31, 3301–3313. [Google Scholar]
- Thrum, S.; Lorenz, J.; Mössner, J.; Wiedmann, M. Polo-like kinase 1 inhibition as a new therapeutic modality in therapy of cholangiocarcinoma. Anticancer Res 2011, 31, 3289–3299. [Google Scholar]
- Zee, B.M.; Young, N.L.; Garcia, B.A. Quantitative proteomic approaches to studying histone modifications. Curr. Chem. Genomic 2011, 5, S106–S114. [Google Scholar]
- Brown, M.D.; Feairheller, D.L.; Thakkar, S.; Veerabhadrappa, P.; Park, J.Y. Racial differences in tumor necrosis factor-α-induced endothelial microparticles and interleukin-6 production. Vasc. Health Risk Mana 2011, 7, 541–550. [Google Scholar]
- Karliner, J.S.; Gander, M.P.; Sobel, B.E. Elevated serum glyceraldehydes phosphate dehydrogenase activity following acute myocardial infarction. CHEST 1971, 60, 318–323. [Google Scholar]
- Shibuya, A.; Ikewaki, N. High serum glyceraldehyde-3-phosphate dehydrogenase levels in patients with liver cirrhosis. Hepatol. Res 2002, 22, 174–179. [Google Scholar]
- Kirkham, P.A.; Caramori, G.; Casolari, P.; Papi, A.A.; Edwards, M.; Shamji, B.; Triantaphyllopoulos, K.; Hussain, F.; Pinart, M.; Khan, Y.; et al. Oxidative stress-induced antibodies to carbonyl-modified protein correlate with severity of chronic obstructive pulmonary disease. Am. J. Respir. Crit. Care Med 2011, 184, 796–802. [Google Scholar]
- Kashyap, B.; Sinha, S.; Das, S.; Rustagi, N.; Jhamb, R. Efficiency of diagnostic methods for correlation between prevalence of enteric protozoan parasites and HIV/AIDS status—An experience of a tertiary care hospital in East Delhi. J. Parasit. Dis 2010, 34, 63–67. [Google Scholar]
- Tutino, V.; Notarnicola, M.; Guerra, V.; Lorusso, D.; Caruso, M.G. Increased soluble leptin receptor levels are associated with advanced tumor stage in colorectal cancer patients. Anticancer Res 2011, 31, 3381–3383. [Google Scholar]
- Bagai, U.; Pawar, A.; Kumar, V. Antibody responses to 43 and 48 kDa antigens of blood-stage Plasmodium berghei in Balb/c mice. J. Parasit. Dis 2010, 34, 68–74. [Google Scholar]
|Table 1. Proteins identified in the breast cancer serum sample.|
|No.||Protein||Matched peptides||GenBank accession no.||Top score||Significance||Function|
|1||Fxia Catalytic Domain||5||gi|56967288||64||p < 0.05||The Fxia catalytic domain in complex with ecotinm84r|
|2||HP protein||5||gi|34785974||74||p < 0.05||Haptoglobin alpha (2FS)-beta precursor|
|3||ILP-2||9||gi|15042064||54||p < 0.05||Testis-specific inhibitor of apoptosis|
|Table 2. Serum sample data.|
|Sample source||Type of sample||Number of samples||Type of analysis|
|The Third Hospital of Kunming Medical College, Kunming, China||Breast cancer||400||2DE, MALDI TOF MS|
|Non-cancer||40||2DE, MALDI TOF MS|
|The First Hospital of Gannan Medical College, Ganzhou, China||Breast cancer||10||WB|
|Galactophore hyperplasia||35||2DE, ELISA|
|Breast cancer post-surgery||35||2DE, ELISA|
|Other cancer types||35||2DE, ELISA|
|Table 3. Search parameters.|
|Parameter types||Search parameters|
|Type of search||Peptide Mass Fingerprint|
|Variable modifications||Carbamidomethyl (C)|
|Peptide Mass Tolerance||±0.15 Da|
|Peptide Charge State||1+|
|Max Missed Cleavages||2|
|Number of queries||13|
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