Identification of leptomeningeal metastasis-related proteins in cerebrospinal fluid of patients with breast cancer by a combination of MALDI-TOF, MALDI-FTICR and nanoLC-FTICR MS

Leptomeningeal metastasis (LM) is a devastating complication occurring in 5% of breast cancer patients. However, the current 'gold standard' of diagnosis, namely microscopic examination of the cerebrospinal fluid (CSF), is false-negative in 25% of patients at the first lumbar puncture. In a previous study, we analyzed a set of 151 CSF samples (tryptic digests) by MALDI-TOF and detected peptide masses that were differentially expressed in breast cancer patients with LM. In the present study, we obtain for a limited number of samples exact masses for these peptides by MALDI-FTICR MS measurements. Identification of these peptides was performed by electrospray FTICR MS after separation by nano-scale LC. The database results were confirmed by targeted high mass accuracy measurements of the fragment ions in the FTICR cell. The combination of automated high-throughput MALDI-TOF measurements and analysis by FTICR MS leads to the identification of 17 peptides corresponding to 9 proteins. These include proteins that are operative in host-disease interaction, inflammation and immune defense (serotransferrin, alpha 1-antichymotrypsin, hemopexin, haptoglobin and transthyretin). Several of these proteins have been mentioned in the literature in relation to cancer. The identified proteins alpha1-antichymotrypsin and apolipoprotein E have been described in relation to Alzheimer's disease and brain cancer.     

NOP56在乳腺癌组织中的表达情况及对临床预后的意义

NOP56是一种与癌基因表达密切相关的核仁蛋白。本文通过对在线数据进行差异表达基因分析,发现NOP56在乳腺癌组织中高表达。再以NOP56的表达高低为表型,分析不同表型与临床预后的差异,结果表明NOP56高表达与乳腺癌不良临床病理参数和预后密切相关。通过富集分析获得NOP56的蛋白互作网络、计算共表达基因语义相似性。最后通过在线数据库获得NOP56及其共表达基因的的临床靶向药物放线菌素D(更生霉素)。这些结果为乳腺癌防治提供了潜在的新的预测指标,完善了临床靶向药物使用的分子机制,为靶向药物的临床使用提供依据和线索。     

Differential expression of novel tyrosine kinase substrates during breast cancer development

To identify novel tyrosine kinase substrates that have never been implicated in cancer, we studied the phosphoproteomic changes in the MCF10AT model of breast cancer progression using a combination of phosphotyrosyl affinity enrichment, iTRAQ technology, and LC-MS/MS. Using complementary MALDI- and ESI-based mass spectrometry, 57 unique proteins comprising tyrosine kinases, phosphatases, and other signaling proteins were detected to undergo differential phosphorylation during disease progression. Seven of these proteins (SPAG9, Toll-interacting protein (TOLLIP), WBP2, NSFL1C, SLC4A7, CYFIP1, and RPS2) were validated to be novel tyrosine kinase substrates. SPAG9, TOLLIP, WBP2, and NSFL1C were further proven to be authentic targets of epidermal growth factor signaling and Iressa (gefitinib). A closer examination revealed that the expression of SLC4A7, a bicarbonate transporter, was down-regulated in 64% of the 25 matched normal and tumor clinical samples. The expression of TOLLIP in clinical breast cancers was heterogeneous with 25% showing higher expression in tumor compared with normal tissues and 35% showing the reverse trend. Preliminary studies on SPAG9, on the other hand, did not show differential expression between normal and diseased states. This is the first time SLC4A7 and TOLLIP have been discovered as novel tyrosine kinase substrates that are also associated with human cancer development. Future molecular and functional studies will provide novel insights into the roles of TOLLIP and SLC4A7 in the molecular etiology of breast cancer.     

Knockdown of ribosomal protein S15A inhibits proliferation of breast cancer cells through induction of apoptosis in vitro

To explore the role of ribosomal protein S15A (RPS15A) in breast cancer. The Oncomine database was used to compare the expression of RPS15A in human breast cancer tissues and normal tissues. RPS15A in breast cancer cell line ZR-75-30 and BT474 was specifically knocked down using lentivirus-mediated short hairpin RNAs (shRNAs). RPS15A knockdown efficiency was validated by quantitative polymerase chain reaction and western blot analysis. Subsequently, the functional effects of RPS15A on proliferation of breast cancer cells were investigated by MTT, colony formation and flow cytometry assays. Functional analysis indicated that RPS15A knockdown could inhibit cell proliferation, induced cell cycle arrest and apoptosis. Mechanism analysis revealed RPS15A mediated apoptosis via activating of caspase-3 and PARP cleavage, upregulating of Bad and BAX and downregulating of Bcl-2. Our preliminary study highlighted the importance of RPS15A in breast cancer growth. The inhibition of RPS15A may be a promising therapeutic target for breast cancer treatment.     

Abnormal Galactosylated–Glycans recognized by Bandeiraea Simplicifolia Lectin I in saliva of patients with breast Cancer

Currently, the definitive diagnosis in breast cancer requires biopsy and histopathology, such the most effective markers are tissue-based. However, the advantages of saliva in collection and storage make it possible for assessing human pathology and contributing to the development of cancer-related biomarkers for clinical application. The present study validated alteration of salivary protein glycopatterns recognized by Bandeiraea simplicifolia lectin I (BS-I) in the saliva of patients with breast diseases using saliva microarrays, and the N/O-glycan profiles of their salivary glycoproteins isolated by the BS-I-magnetic particle conjugates from 259 female subjects (66 healthy volunteers (HV), 65 benign breast cyst or tumor patients (BB), 66 patients with breast cancer in stage I (BC-I) and 62 patients with breast cancer in stage II (BC-II)) were analyzed by MALDI-TOF/TOF-MS. The results showed that the expression level of galactosylated glycans recognized by BS-I was significantly increased in patients with breast cancer compared with HV (p < 0.05). Totally, there were 11/10, 10/19, 7/24 and 7/9 galactosylated N-/O-linked glycans were identified and annotated from the pooled salivary samples of HV, BB, BC-I and BC-II, respectively. One galactosylated N-glycan peak (m/z 2773.977), and 4 galactosylated O-glycan peaks (m/z 868.295, 882.243, 884.270 and 1030.348) were found only in BC-I. These findings could provide pivotal information on galactosylated N/O-linked glycans related to breast cancer, and promote the study of biomarkers for early-stage breast cancer based on precise alterations of galactosylated N/O-glycans in saliva.     

Proteomic study reveals that proteins involved in metabolic and detoxification pathways are highly expressed in HER-2/neu-positive breast cancer

The receptor tyrosine kinase ErbB2 (HER-2/neu) is overexpressed in up to 30% of breast cancers and is associated with poor prognosis and an increased likelihood of metastasis especially in node-positive tumors. In this proteomic study, to identify the proteins that are associated with the aggressive phenotype of HER-2/neu-positive breast cancer, tumor cells from both HER-2/neu-positive and -negative tumors were procured by laser capture microdissection. Differentially expressed proteins in the two subsets of tumors were identified by two-dimensional electrophoresis and MALDI-TOF/TOF MS/MS. We found differential expression of several key cell cycle modulators, which were linked with increased proliferation of the HER-2/neu-overexpressing cells. Nine proteins involved in glycolysis (triose-phosphate isomerase (TPI), phosphoglycerate kinase 1 (PGK1), and enolase 1 (ENO1)), lipid synthesis (fatty acid synthase (FASN)), stress-mediated chaperonage (heat shock protein 27 (Hsp27)), and antioxidant and detoxification pathways (haptoglobin, aldo-keto reductase (AKR), glyoxalase I (GLO), and prolyl-4-hydrolase beta-isoform (P4HB)) were found to be up-regulated in HER-2/neu-positive breast tumors. HER-2/neu-dependent differential expression of PGK1, FASN, Hsp27, and GLO was further validated in four breast cancer cell lines and 12 breast tumors by immunoblotting and confirmed by partially switching off the HER-2/neu signaling in the high HER-2/neu-expressing SKBr3 cell line with Herceptin treatment. Statistical correlations of these protein expressions with HER-2/neu status were further verified by immunohistochemistry on a tissue microarray comprising 97 breast tumors. Our findings suggest that HER-2/neu signaling may result, directly or indirectly, in enhanced activation of various metabolic, stress-responsive, antioxidative, and detoxification processes within the breast tumor microenvironment. We hypothesize that these identified changes in the cellular proteome are likely to drive cell proliferation and tissue invasion and that the key cell cycle modulators involved, when uncovered by future research, would serve as naturally useful targets for the development of therapeutic strategies to negate the metastatic potential of HER-2/neu-positive breast tumors.     

鼻咽癌细胞系与永生化的鼻咽上皮细胞系蛋白质表达差异分析

鼻咽癌对我国南部居民的健康造成严重的威胁.为了研究鼻咽癌的发病机理,本研究采用了蛋白质组学技术分析和比较了鼻咽癌细胞系（HNE1和CNE1）与永生化的鼻咽上皮细胞系的蛋白质表达谱.采用双向凝胶电泳分离提取的全细胞蛋白质,通过PDQuest软件分析找出在肿瘤中表达变化的蛋白质点,用基质辅助激光解析电离飞行时间串联质谱(MALDI- TOF/TOF-MS)进行鉴定.共得到了15个在肿瘤细胞系中表达上调和18个在肿瘤细胞系中表达下调的蛋白质,并对其中一些蛋白质的表达进行免疫印迹的验证.这些表达差异的蛋白质与细胞的增殖和调亡、癌症的转移,细胞骨架,信号传导等有关.本研究鉴定了一批可能作为鼻咽癌治疗的药物靶标的蛋白质,并对研究鼻咽癌发病机理提供了相关的线索.     

Proteomic analysis in human breast cancer: identification of a characteristic protein expression profile of malignant breast epithelium

Gene expression analysis has become a promising tool in predicting the clinical course of malignant disease and the response to antineoplastic therapy. Surprisingly, only little is known about the protein expression pattern of human tumors. Recent advances in proteomic analysis allow proteins of interest to be identified by their expression and/or modification pattern in 2-DE rather than using the traditional approach of translating gene expression data. To identify a proteomic pattern that is characteristic for malignant breast epithelium, we performed differential 2-DE analysis in sets of microdissected malignant breast epithelia and corresponding adjacent normal breast epithelia from five patients with invasive breast carcinoma. Thirty-two protein spots were found to be selectively regulated in malignant epithelium, and were subjected to MALDI-TOF and/or immunoblotting for protein identification. Thirteen of the identified proteins had previously not been associated with breast cancer. The validity of these findings was confirmed by literature review and immunohistochemistry for identified proteins in an independent cohort of 50 breast cancer specimens. We here describe, for the first time, a proteomic analysis of matched normal and malignant epithelia from invasive breast carcinomas. This strategy leads to a better understanding of oncogenesis at an operational level and helps to characterize the malignant phenotype of individual tumors, and thereby to identify novel targets for antineoplastic therapy.     

High-throughput proteomic analysis of human infiltrating ductal carcinoma of the breast

Large-scale proteomics will play a critical role in the rapid display, identification and validation of new protein targets, and elucidation of the underlying molecular events that are associated with disease development, progression and severity. However, because the proteome of most organisms are significantly more complex than the genome, the comprehensive analysis of protein expression changes will require an analytical effort beyond the capacity of standard laboratory equipment. We describe the first high-throughput proteomic analysis of human breast infiltrating ductal carcinoma (IDCA) using OCT (optimal cutting temperature) embedded biopsies, two-dimensional difference gel electrophoresis (2-D DIGE) technology and a fully automated spot handling workstation. Total proteins from four breast IDCAs (Stage I, IIA, IIB and IIIA) were individually compared to protein from non-neoplastic tissue obtained from a female donor with no personal or family history of breast cancer. We detected differences in protein abundance that ranged from 14.8% in stage I IDCA versus normal, to 30.6% in stage IIB IDCA versus normal. A total of 524 proteins that showed > or = three-fold difference in abundance between IDCA and normal tissue were picked, processed and identified by mass spectrometry. Out of the proteins picked, approximately 80% were unambiguously assigned identities by matrix-assisted laser desorbtion/ionization-time of flight mass spectrometry or liquid chromatography-tandem mass spectrometry in the first pass. Bioinformatics tools were also used to mine databases to determine if the identified proteins are involved in important pathways and/or interact with other proteins. Gelsolin, vinculin, lumican, alpha-1-antitrypsin, heat shock protein-60, cytokeratin-18, transferrin, enolase-1 and beta-actin, showed differential abundance between IDCA and normal tissue, but the trend was not consistent in all samples. Out of the proteins with database hits, only heat shock protein-70 (more abundant) and peroxiredoxin-2 (less abundant) displayed the same trend in all the IDCAs examined. This preliminary study demonstrates quantitative and qualitative differences in protein abundance between breast IDCAs and reveals 2-D DIGE portraits that may be a reflection of the histological and pathological status of breast IDCA.     

The proteome of the human neuroblastoma cell line SH-SY5Y: an enlarged proteome

The human neuroblastoma cell line SH-SY5Y (ATCC: CRL-2266) is widely used as a neural cellular model system. The hitherto existing proteome data (115 proteins) are here extended. A total of 1103 unique proteins of this cell line were identified using 2D-LC combined with MALDI-TOF/TOF-MS, SDS-PAGE with nano-LC-MS/MS, N-terminal COFRADIC analysis with nano-LC-MS/MS and 2D-PAGE with MALDI-TOF/TOF-MS peptide mass fingerprinting. The obtained proteome profile of this cell line is discussed.     

A proteomic approach to study pea (Pisum sativum) responses to powdery mildew (Erysiphe pisi)

As a global approach to gain a better understanding of the mechanisms involved in pea resistance to Erysiphe pisi, changes in the leaf proteome of two pea genotypes differing in their resistance phenotype were analyzed by a combination of 2-DE and MALDI-TOF/TOF MS. Leaf proteins from control non-inoculated and inoculated susceptible (Messire) and resistant (JI2480) plants were resolved by 2-DE, with IEF in the 5-8 pH range and SDS-PAGE on 12% gels. CBB-stained gels revealed the existence of quantitative and qualitative differences between extracts from: (i) non-inoculated leaves of both genotypes (77 spots); (ii) inoculated and non-inoculated Messire leaves (19 spots); and (iii) inoculated and non-inoculated JI2480 leaves (12 spots). Some of the differential spots have been identified, after MALDI-TOF/TOF analysis and database searching, as proteins belonging to several functional categories, including photosynthesis and carbon metabolism, energy production, stress and defense, protein synthesis and degradation and signal transduction. Results are discussed in terms of constitutive and induced elements involved in pea resistance against Erysiphe pisi.     

Analysis of protein expression in pure cell nuclei populations isolated from human breast cancer tissue by DNA flow cytometric sorting

In this study, cell nuclei from aneuploid breast cancer samples were sorted with respect to DNA content into pure diploid and aneuploid fractions using flow cytometry. The nuclear proteins were then separated by one-dimensional gel electrophoresis (1D-PAGE) and differences in protein expression patterns, between diploid and aneuploid nuclei from the same tumours, were compared. Using a combination of peptide finger printing and peptide identification by MALDI-TOF mass spectrometry, we identified proteins and confirmed that the proteins were of nuclear origins. The results in this study add further information to the knowledge about the breast cancer disease complexity and heterogeneity at molecular level. For some of the tumours studied different nuclei protein patterns were obtained, in the diploid respective aneuploid nuclei populations, whilst other tumours did not show these differences.     

Assessment of the partitioning capacity of high abundant proteins in human cerebrospinal fluid using affinity and immunoaffinity subtraction spin columns

The performance of three different affinity and immunoaffinity subtraction spin columns was investigated for the removal of the most abundant proteins in human cerebrospinal fluid (CSF). A pool of human CSF was processed with the spin columns and both the bound and flow through fractions were compared with each other and with intact CSF using 1D gel electrophoresis and nanoLC–MALDI-TOF/TOF-MS analysis. MASCOT MS/MS ionscores were compared before and after processing with the columns. The non-specific co-removal of proteins bound to the high abundant proteins, so called “sponge effect” was also examined for each spin column. The reproducibility of one of the spin columns, ProteomeLab IgY-12 proteome partitioning spin column, was further investigated by isobaric tags for relative and absolute quantification (iTRAQ) labeling and MS/MS analysis. Overall, 173 unique proteins were identified on a 95% MudPIT confidence scoring level. For all three spin columns, the number of proteins identified and their MASCOT scores were increased up to 10 times. The largest degree of non-specific protein removal was observed for a purely affinity based albumin removal column, where 28 other proteins also were present. The ProteomeLab IgY-12 proteome partitioning spin column showed very high reproducibility when combined with iTRAQ labeling and MS/MS analysis. The combined relative standard deviation (R.S.D.) for the high abundant protein removal, iTRAQ labeling and nanoLC–MALDI-TOF/TOF-MS analysis was less than 17.5%.     

A new fast method for nanoLC-MALDI-TOF/TOF-MS analysis using monolithic columns for peptide preconcentration and separation in proteomic studies

A new fast method for identification and characterization of proteolytic digests of proteins by monolithic liquid chromatography coupled with mass spectrometry has been developed. The advantages of the monolithic columns are a high-pressure stability and low back pressure resulting in higher flow rates for capillary or nanosize columns simplifying the system handling. As was shown in several publications, such monolithic stationary phases are highly qualified for the analysis of peptides and proteins, but so far, only small volumes could be injected into the system, which might hamper the sample preparation leading to protein precipitation and partial loss of sample. To overcome the problem of small injection volumes, we established a system including a short monolithic trap column to allow preconcentration of the peptides. The injected sample is flushed at higher flow rates onto the trap column, bound to the stationary phase, and in this way concentrated in a few nanoliters before starting the separation. The expanded system was optimized and tested using different reference protein samples. Eluting peptides were detected by MALDI-TOF/TOF-MS and identified by database searching. The system is now a permanent part for proteome analysis in our lab, and as such, it was successfully applied for the detection of post-translational modifications and the analysis of membrane proteins. One example for these analyses is also included in this paper.     

阿霉素抗4T1乳腺癌荷瘤小鼠的免疫调控机制

为了探讨阿霉素 (Adriamycin,ADM) 对4T1乳腺癌荷瘤鼠BALB/c的免疫调节作用,采用定量蛋白质组学串联质量标签 (TMT) 标记技术检测ADM对4T1乳腺癌差异蛋白的影响,利用多重数据库对差异蛋白进行生物信息学分析。根据蛋白质组学结果,寻找差异蛋白中与免疫调节功能相关的靶点,通过酶联免疫吸附测定 (Enzyme linked immunosorbent assay,ELISA) 观察ADM对乳腺癌组织中Th1细胞 (Helper T cells 1,Th1) 和Th2细胞 (Helper T cells 2,Th2) 的影响;通过流式细胞术分析ADM对CD4+ T细胞、CD8+ T细胞和调节性T细胞 (Regulatory T cells,Tregs) 的影响;HE染色观察ADM对4T1乳腺癌荷瘤鼠胸腺的改变。ADM上调170种差异蛋白,下调58种差异蛋白。有73种差异蛋白与免疫调控过程相关,KEGG (Kyoto encyclopedia of genes and genomes,KEGG) 富集于细胞因子及受体相关的重要蛋白通路、白介素17 (Interleukin 17,IL-17) 通路和癌症的转录调控通路。与免疫功能相关的差异蛋白与CD4+ T细胞、CD8+ T细胞和Tregs细胞的功能有关,而这些细胞的分型影响乳腺癌的预后。ADM极显著升高白介素2 (Interleukin 2,IL-2),CD4+ T细胞、CD8+ T淋巴细胞含量 (P<0.01),显著降低Tregs细胞含量 (P<0.05)。ADM抗乳腺癌的免疫调节蛋白有Ighm、Igkc、S100A8、S100A9和Tmsb4x。     

Association of glutamate carboxypeptidase II (GCPII) haplotypes with breast and prostate cancer risk

In view of the pivotal role of glutamate carboxypeptidase II (GCPII) in carcinogenesis, its expression as prostate specific membrane antigen (PSMA) and folate hydrolase (FOLH1) may be influenced by its haplotypes, contributing to the etiology of prostate and breast cancer. To test this hypothesis, breast and prostate cancer cases and controls were subjected to whole gene screening of GCPII and correlated with plasma folate levels and PSMA expression. The impact of variants on a 3-dimensional structure of GCPII was explored by in silico studies. Six novel variations i.e. V108A, P160S, Y176H, D191V, G206R and G245S; and two known variations i.e. R190W and H475Y were identified in GCPII. All-wild haplotype and a haplotype harbouring D191V showed association with breast cancer risk while haplotypes harbouring V108A and P160S reduced the risk. Haplotypes with V108A and G245S variants showed increased risk for prostate cancer due to high PSMA expression while P160S conferred protection against prostate cancer. In silico studies suggests that P160S and R190W variants result in relaxed substrate binding facilitating either rapid catalysis or exchange of substrates and products in the active site which was substantiated by high plasma folate levels associated with these variants. On the contrary, D191V was associated with very low plasma folate levels despite having a high PSMA expression. This is the first comprehensive study examining variations in GCPII in relation to breast and prostate cancer risk. Changes in the plasma folate levels and changes in PSMA expression are associated with breast and prostate cancer risk respectively.     

Computational exploration of the activated pathways associated with DNA damage response in breast cancer

Molecular signaling events regulate cellular activity. Cancer stimulating signals trigger cellular responses that evade the regulatory control of cell development. To understand the mechanism of signaling regulation in cancer, it is necessary to identify the activated pathways in cancer. We have developed RepairPATH, a computational algorithm that explores the activated signaling pathways in cancer. The RepairPATH integrates RepairNET, an assembled protein interaction network associated with DNA damage response, with the gene expression profiles derived from the microarray data. Based on the observation that cofunctional proteins often exhibit correlated gene expression profiles, it identifies the activated signaling pathways in cancer by systematically searching the RepairNET for proteins with significantly correlated gene expression profiles. Analyzing the gene expression profiles of breast cancer, we found distinct similarities and differences in the activated signaling pathways between the samples from the patients who developed metastases and the samples from the patients who were disease free within 5 years. The cellular pathways associated with the various DNA repair mechanisms and the cell-cycle checkpoint controls are found to be activated in both sample groups. One of the most intriguing findings is that the pathways associated with different cellular processes are functionally coordinated through BRCA1 in the disease-free sample group, whereas such functional coordination is absent in the samples from patients who developed metastases. Our analysis revealed the potential cellular pathways that regulate the signaling events in breast cancer.