Nanog 基因在卵巢癌和卵巢肿瘤干细胞中的表达及意义

目的:探讨胚胎干细胞关键因子Nanog基因mRNA及其蛋白在卵巢癌和卵巢癌肿瘤干细胞中的表达及意义。方法:选取10例正常卵巢上皮组织、10例卵巢良性肿瘤及60例卵巢癌组织,采用逆转录酶-聚合酶链反应(RT-PCR)方法和免疫组织化学PV-6000两步法检测Nanog mRNA和蛋白表达水平;采用无血清悬浮培养法从SKOV-3卵巢癌细胞株中分离培养肿瘤干细胞,流式细胞术鉴定肿瘤干细胞CD117表达,采用RT-PCR和Western Blot方法检测SKOV-3卵巢癌细胞及肿瘤干细胞中NanogmRNA及其蛋白的表达水平。结果:Nanog mRNA在卵巢癌组织中的表达水平均高于正常卵巢组织和卵巢良性肿瘤组织(P<0.05);Nanog mRNA在不同分化程度及临床分期的卵巢癌组织中表达水平不同,低分化组高于高分化组(P<0.05);III-IV期高于I-II期(P<0.05);免疫组化结果同RT-PCR。从SKOV-3卵巢癌细胞株中成功分离出肿瘤干细胞,SKOV-3卵巢癌细胞和肿瘤干细胞Nanog mRNA相对含量分别为0.6044±0.0368,0.8736±0.0537,差异具有统计学意义(P<0.05),两种细胞Nanog蛋白相对含量分别为0.6364±0.0169 1.2788±0.0314,差别具有统计学意义(P<0.05)。结论:Nanog基因在卵巢癌组织和SKOV-3细胞系中均高表达,其在组织中的表达强度与临床分期及病理分级关系密切,且在肿瘤干细胞中表达高于一般卵巢癌细胞,其与卵巢癌的发生发展关系密切,可能是卵巢癌干细胞的表面标志物,有望成为新的标志物。     

A Novel Cancer Testis Antigen,A-Kinase Anchor Protein 4 (AKAP4) Is a Potential Biomarker for Breast Cancer

Background

Breast cancer is the second leading cause of cancer related deaths in women worldwide. Reports about the early diagnosis of breast cancer are suggestive of an improved clinical outcome and overall survival rate in cancer patients. Therefore, cancer screening biomarker for early detection and diagnosis is urgently required for timely treatment and better cancer management. In this context, we investigated an association of cancer testis antigen, A-Kinase anchor protein 4 (AKAP4) with breast carcinoma.

Methodology/Findings

We first compared the AKAP4 gene and protein expression in four breast cancer cells (MCF7, MDA-MB-231, SK-BR3 and BT474) and normal human mammary epithelial cells. In addition, 91 clinical specimens of breast cancer patients of various histotypes including ductal carcinoma in situ, infiltrating ductal carcinoma and infiltrating lobular carcinoma and 83 available matched adjacent non-cancerous tissues were examined for AKAP4 gene and protein expression by employing in situ RNA hybridization and immunohistochemistry respectively. Humoral response against AKAP4 was also investigated in breast cancer patients employing ELISA. Our in vitro studies in all breast cancer cells revealed AKAP4 gene and protein expression whereas, normal human mammary epithelial cells failed to show any expression. Using in situ RNA hybridization and immunohistochemistry, 85% (77/91) tissue specimens irrespective of histotypes, stages and grades of breast cancer clinical specimens revealed AKAP4 gene and protein expression. However, matched adjacent non-cancerous tissues failed to display any AKAP4 gene and protein expression. Furthermore, humoral response was observed in 79% (72/91) of total breast cancer patients. Interestingly, we observed that 94% (72/77) of breast cancer patients found positive for AKAP4 protein expression generated humoral response against AKAP4 protein.

Conclusions

Collectively, our data suggests that AKAP4 may be used as serum based diagnostic test for an early detection and diagnosis of breast cancer and may be a potential target for immunotherapeutic use.     

IPO-38 is identified as a novel serum biomarker of gastric cancer based on clinical proteomics technology

Gastric cancer is one of the most common malignancies in China. So far, there are few reliable serum biomarkers for diagnosis. The available biomarkers of CEA, CA19-9 and CA72-4 are not sufficiently sensitive and specific for gastric cancer. In this study, a high density antibody microarray was used for identifying new biomarkers from serum samples of gastric cancer. Serum samples from colorectal cancer, pancreatic cancer, hepatocellular cancer, and breast cancer were also screened for comparative study. As result, some candidate biomarkers were identified. IPO-38, an up-regulated serum protein in gastric cancer was selected for subsequent validation including serum IPO-38 expression by ELISA and IPO-38 protein expression by immunohistochemistry. The immunoprecipitation by IPO-38 for gastric cancer cell line and MALDI-TOF/TOF mass spectrometer suggested that pull-down of IPO-38 belongs to H2B histone, which was supported by co-localization study of laser scanning confocal microscope. A follow-up study showed that the survival rate of IPO-38 negative group was better than that in IPO-38 positive group. The study first clarified the property of IPO-38 proliferating marker, and proposed that IPO-38 protein is a promising biomarker both for diagnosis and for predicting prognosis of gastric cancer.     

Protein expression profiling of breast cancer cells by dissociable antibody microarray (DAMA) staining

Dissociable antibody microarray (DAMA) staining is a technology that combines protein microarrays with traditional immunostaining techniques. It can simultaneously determine the expression and subcellular location of hundreds of proteins in cultured cells and tissue samples. We developed this technology and demonstrated its application in identifying potential biomarkers for breast cancer. We compared the expression profiles of 312 proteins among three normal breast cell lines and seven breast cancer cell lines and identified 10 differentially expressed proteins by the data analysis program DAMAPEP (DAMA protein expression profiling). Among those proteins, RAIDD, Rb p107, Rb p130, SRF, and Tyk2 were confirmed by Western blot and statistical analysis to have higher expression levels in breast cancer cells than in normal breast cells. These proteins could be potential biomarkers for the diagnosis of breast cancer.     

早期胃癌患者外周血清差异蛋白表达谱的建立及其生物学分析

目的:分析早期胃癌患者外周血中低丰度蛋白的表达差异,以筛选诊断早期胃癌血清多肽或蛋白标志物。方法:应用高通量的AAH-BLG-1000蛋白芯片分别检测3例早期胃癌患者和3例正常对照成人的外周血清,建立早期胃癌患者外周血清差异蛋白表达谱,分析其相关生物学信息,以筛选早期胃癌的血清肿瘤标志物。结果:与正常对照组比较,早期胃癌患者外周血清中有10种蛋白表达显著上调(P0.05),52种蛋白表达显著下调(P0.05)。生物信息学分析发现差异蛋白质集中于血管生成、信号调控,免疫调节、酶联受体蛋白信号,细胞凋亡等生物进程,而差异蛋白中的VEGI、CD40L、SMAD7、PLUNC、NTN、LTβR和HEVM7个差异蛋白的特征性改变有望成为早期胃癌血清学的肿瘤标志物。结论:应用蛋白芯片技术所得的早期胃癌患者血清中的差异表达蛋白有望成为诊断早期胃癌的血清肿瘤标志物。     

ER/PR阳性和阴性乳腺癌的定量蛋白质组学和生物信息学比较研究

目的:建立雌/孕激素受体(ER/PR)阴性和阳性乳腺癌的蛋白质表达谱,寻找ER/PR阴性和阳性乳腺癌中差异表达蛋白,为乳腺癌患者提供新的预后预测指标和治疗新靶点。方法:应用蛋白质组学i TRAQ技术建立ER/PR阳性和阴性乳腺癌的蛋白质差异表达谱,鉴定两组乳腺癌的差异表达蛋白,对部分差异表达蛋白进行生物信息学分析,包括蛋白功能注释和分类GO分析和KEGG通路分析。结果:应用i TRAQ蛋白质组学技术对乳腺癌组织进行了蛋白组学分析,鉴定出ER/PR阳性和阴性组间有差异表达的蛋白4999种,以ER/PR阳性:ER/PR阴性≥3为上调标准,确定ER/PR阳性组上调蛋白101种。以ER/PR阳性:ER/PR阴性≤0.5为下调标准,ER/PR阳性组下调蛋白122种。GO分析结果显示ER/PR受体阴性和阳性乳腺癌的差异表达蛋白的分子功能、生物过程、细胞定位较为复杂,并且在上调蛋白和下调蛋白上存在分布差异。KEGG通路分析发现部分差异表达蛋白涉及201条信号通路。结论:ER/PR阳性和阴性乳腺癌间存在差异表达蛋白,这些蛋白涉及复杂的分子功能、生物过程和信号通路。     

Detection of S100 protein from prostatic cancer patients using anti-S100 protein antibody immobilized on POS-PVA discs

The S100 proteins have been extensively used as cancer biomarkers. The objectives of the present work were to immobilize the antibody anti-protein S100 to a net of semi-interpenetrated of polysiloxane and polyvinyl alcohol (POS-PVA discs), to investigate its capacity to capture S100 protein from serum and to quantify it by ELISA in sera from patients with prostatic adenocarcinoma (n = 15) and healthy individuals (n = 10). Also these values were compared to the S100 protein expression in the prostatic tissue through immunohistochemistry. The POS-PVA discs fixed about 92.8% of the offered antibody (7.75 microg of antibody per disc). The best values of the immobilized no-marked antibody anti-S100 and serum dilution were found to be 10 microg and 1:400, respectively. Optical density (OD) values for the sera of patients (0.425 +/- 0.042) with prostatic adenocarcinoma were significantly lower (P < 0.05) compared to those established for the healthy individuals (1.034 +/- 0.124). In the immunohistochemistry study no significant variations were observed in the number of positive S100 cells between prostatic adenocarcinoma (153.45 +/- 16.82) and normal prostate (147.04 +/- 18.98). These results showed a clear difference between S100 proteins expressed in tissue and presented in serum during the prostatic tissue neoplasic transformation. Sera analysis was more sensitive than immunohistochemistry S100 protein detection in the prostate tissue besides the advantage to be less invasive method.     

Use of serological proteomic methods to find biomarkers associated with breast cancer

New technologies for the detection and therapy of early stage breast cancer are urgently needed. Pathological changes in breast might be reflected in proteomic patterns in serum. A proteomic tool was used to identify proteomic patterns in serum that distinguishes neoplastic from non-neoplastic disease within the breast. Preliminary results derived from the serum analysis from 54 unaffected women and 76 patients with breast cancer were analyzed by two-dimensional (2-D) electrophoresis and matrix-assisted laser desorption/ionization-time of flight mass spectrometry, HSP27 was found up-regulated while 14-3-3 sigma was down-regulated in the serum of breast cancer patients. The two protein biomarkers were then used to classify an independent set of 104 masked serum samples. The results showed that the protein pattern on 2-D gels can completely segregate the serum of breast cancer from non-cancer. The discriminatory pattern correctly identified all 69 breast cancer cases in the masked set. Of the 35 cases of non-malignant disease, 34 were recognized as non-cancer. These findings justify a prospective population-based assessment of proteomic technology as a screening or diagnostic tool for breast cancer in high-risk and general populations. These two protein biomarkers could also be used as targets for further study in drug design and breast cancer therapy.     

骨唾液酸蛋白通过整合素αvβ3调控ILK信号通路

旨在探究骨唾液酸蛋白(BSP)是否通过整合素αvβ3对整合素连接激酶(ILK)信号通路进行调控。BSP基因沉默乳腺癌MDA-MB-231细胞,流式细胞仪在细胞水平检测BSP不同水平的细胞株中整合素αvβ3的表达量。Western blotting检测磷酸化ILK水平的变化,MTT法检测细胞增殖能力。与对照组231BO-Scrambled细胞相比,BSP基因沉默组231BO-BSP27细胞中整合素αvβ3的表达水平明显下调(61.32±1.94)%(P<0.01)。整合素αvβ3鼠抗单克隆抗体(LM609)处理前的BSP基因沉默组231BO-BSP27细胞与21BO-Scrambled细胞相比,ILK磷酸化水平下调明显(39.38±1.38)%(P<0.01);LM609处理后的231BO-BSP27细胞与21BO-Scrambled细胞相比,ILK磷酸化水平下调明显(33.78±1.51)%(P<0.01)。向乳腺癌细胞231BO-scrambled和231BO-BSP27中添加LM609,MTT试验结果显示两株乳腺癌细胞的增殖能力均有降低(P<0.05)。BSP通过整合素αvβ3对乳腺癌MDA-MB-231细胞ILK信号通路进行调控,并影响细胞增殖。     

Quantitative serum proteomics from surface plasmon resonance imaging

The detection and quantification of specific proteins in complex mixtures is a major challenge for proteomics. For example, the development of disease-related biomarker panels will require fast and efficient methods for obtaining multiparameter protein profiles. We established a high throughput, label-free method for analyzing serum using surface plasmon resonance imaging of antibody microarrays. Microarrays were fabricated using standard pin spotting on bare gold substrates, and samples were applied for binding analysis using a camera-based surface plasmon resonance system. We validated the system by measuring the concentrations of four serum proteins using part of a 792-feature microarray. Transferrin concentrations were measured to be 2.1 mg/ml in human serum and 1.2 mg/ml in murine serum, which closely matched ELISA determinations of 2.6 and 1.2 mg/ml, respectively. In agreement with expected values, human and mouse albumin levels were measured to be 24.3 and 23.6 mg/ml, respectively. The lower limits of detection for the four measurements ranged from 14 to 58 ng/ml or 175 to 755 pm. Where purified target proteins are not available for calibration, the microarrays can be used for relative protein quantification. We used the antibody microarray to compare the serum protein profiles from three liver cancer patients and three non-liver cancer patients. Hierarchical clustering of the serum protein levels clearly distinguished two distinct profiles. Thirty-nine significant protein changes were detected (p < 0.05), 10 of which have been observed previously in serum. alpha-Fetoprotein, a known liver cancer marker, was observed to increase. These results demonstrate the feasibility of this high throughput approach for both absolute and relative protein expression profiling.     

Complement Regulatory Molecules on Human Myelin and Glial Cells: Differential Expression Affects the Deposition of Activated Complement Proteins

Abstract: The expression of decay-accelerating factor CD55, membrane cofactor protein CD46, and CD59 was studied on Schwann cells cultured from human sural nerve and myelin membranes prepared from human cauda equina and spinal cord. These proteins are regulatory membrane molecules of the complement system. CD55 and CD46 are inhibitors of C3 and C5 convertases and CD59 inhibits C8 and C9 incorporation into C5b-9 complex and C9-C9 polymerization. The presence of these proteins was assessed by using antibodies to each of the proteins by fluorescent microscopy, fluorescence-activated cell sorter analysis, and also sodium dodecyl sulfate-polyacrylamide gel electrophoresis and western blot analysis. Schwann cells in culture expressed CD55, CD46, and CD59. It is interesting that only CD59 was detected on myelin from both central and peripheral nerve tissue. The ability of these proteins to limit C3 peptide deposition and C9 polymerization in myelin was studied by western blot analysis. C3b deposition was readily detected on antibody-sensitized myelin incubated with normal human serum used as a source of complement but not with EDTA-treated or heat-inactivated serum. C3b deposition was not affected by anti-CD55 antibody. On the other hand, poly-C9 formation in myelin, which was maximum when 50% normal human serum was used, was increased four- to fivefold when myelin was preincubated with anti-CD59. Our data suggest that complement activation on myelin is down-regulated at the step of the assembly of terminal complement complexes, including C5b-9, due to the presence of CD59.     

Proteomic approaches to biomarker discovery in lung cancers by SELDI technology

Lung cancer is one of the most common tumors all over the world and one of those with higher mortality in clinic. For instance, 169500 new cases of lung cancer were estimated in the United States for 2001[1]. In recent years, both morbidity and mortality of lung cancer were reported gradually increasing in our country. Therefore, it has become an urgent task to search and discover specific biomarkers for lung cancer. In tumor genesis, certain cellular proteins must have changed their express…     

Proteomic approaches to biomarker discovery in lung cancers by SELDI technology

The purpose of the present work is to identify protein profiles that could be used to discover specific biomarkers in serum and discriminate lung cancer. Thirty serum samples from patients with lung cancer (15 cases of primary brochogenic carcinoma, 9 cases of metastasis lung cancer and 6 cases of lung cancer after chemotherapy) and twelve from healthy individuals were analyzed by SELDI (Surfaced Enhanced Laser Desorption/Ionization) technology. Anion-exchange columns were used to fractionate the sera with 6 designated pH washing solutions. Two types of protein chip arrays, IMAC-Cu and WCX2, were employed. Protein chips were examined in PBSII ProteinChip Reader (Ciphergen Biosystems Inc.) and the resulting profiles between cancer and normal were analyzed with Biomarker Wizard System. In total, 15 potential lung cancer biomarkers, of which 6 were up-regulated and 9 were down-regulated, were discovered in the serum samples from patients with lung cancer. 5 of 15 these biomarkers were able to be detected on both WCX2 and IMAC-Cu protein chips. The sensitivities provided by the individual markers range from 44.8% to 93.1% and the specificities were 85.0%–94.4%. Our results suggest that serum is a capable resource for detection of lung cancer with specific biomarkers. Moreover, protein chip array system was shown to be a useful tool for identification, as well as detection of disease biomarkers in sera.     

Immune modulation by melanoma and ovarian tumor cells through expression of the immunosuppressive molecule CD200

Background and Objective Immune escape by tumors can occur by multiple mechanisms, each a significant barrier to immunotherapy. We previously demonstrated that upregulation of the immunosuppressive molecule CD200 on chronic lymphocytic leukemia cells inhibits Th1 cytokine production required for an effective cytotoxic T cell response. CD200 expression on human tumor cells in animal models prevents human lymphocytes from rejecting the tumor; treatment with an antagonistic anti-CD200 antibody restored lymphocyte-mediated tumor growth inhibition. The current study evaluated CD200 expression on solid cancers, and its effect on immune response in vitro. Methods and Results CD200 protein was expressed on the surface of 5/8 ovarian cancer, 2/4 melanoma, 2/2 neuroblastoma and 2/3 renal carcinoma cell lines tested, but CD200 was absent on prostate, lung, breast, astrocytoma, or glioblastoma cell lines. Evaluation of patient samples by immunohistochemistry showed strong, membrane-associated CD200 staining on malignant cells of melanoma (4/4), ovarian cancer (3/3) and clear cell renal cell carcinoma (ccRCC) (2/3), but also on normal ovary and kidney. CD200 expression on melanoma metastases was determined by RT-QPCR, and was found to be significantly higher in jejunum metastases (2/2) and lung metastases (2/6) than in normal samples. Addition of CD200-expressing, but not CD200-negative solid tumor cell lines to mixed lymphocyte reactions downregulated the production of Th1 cytokines. Inclusion of antagonistic anti-CD200 antibody restored Th1 cytokine responses. Conclusion These data suggest that melanoma, ccRCC and ovarian tumor cells can express CD200, thereby potentially suppressing anti-tumor immune responses. CD200 blockade with an antagonistic antibody may permit an effective anti-tumor immune response in these solid tumor types.     

Identification of serum proteins involved in pancreatic cancer cachexia

AimsTreatment of cachexia requires pharmacological intervention which, in turn, requires knowledge of the mediators and processes. Cachexia markers that are specifically expressed in pancreatic cancer and secreted into the blood circulation have yet to be identified. The aim of our study was to investigate the serum protein profiles and protein alterations associated with cachexia and to identify potential disease protein biomarkers indicative for this syndrome.Main methodsSerum samples from cachectic and non-cachectic patients undergoing pancreatic cancer (PaCa) surgery and controls were investigated by Surface Enhanced Laser Desorption/Ionization Time-of-Flight Mass Spectrometry (SELDI-TOF-MS). The identity of detected discriminatory markers was determined by a combination of protein fractionation, chromatographic purification steps, gel electrophoresis, and mass spectrometry.Key findingsUsing Cu-IMAC array and CM-10 array based SELDI-TOF-MS. we identified eleven up- and four down-regulated proteins associated with cachexia. CiphergenExpress analysis revealed four disease-associated protein features (38559 Da, 9138 Da, 8925 Da and 3358 Da) that were elevated by a factor of 2.3, 1.7, 1.4 and 1.4, respectively. Zinc-α2-glycoprotein (ZAG), apolipoproteins apo C-II and apo C-III and glucagon-like peptide-1 (GLP-1) were identified as markers for PaCa-associated cachexia syndrome. ZAG levels were additionally evaluated in serum and tissue samples by ELISA and immunohistochemistry and the obtained data confirmed the SELDI-TOF-MS results.SignificanceThe identified proteins could be routinely and reliably measured in the serum of patients and provide an elegant non-invasive approach for early diagnosis of cachectic pancreatic cancer patients. Controlling ZAG and GLP-1 activity could be beneficial in the management of cancers and cachexia-induced conditions.     

衰老标记蛋白30 mRNA在癌细胞中的表达研究

目的:检测衰老标记蛋白(SMP)30 mRNA在不同癌细胞系中的表达情况,探讨其在不同细胞中的表达差异。方法:分别采用RT-PCR与荧光定量PCR检测SMP30 mRNA在正常肝细胞、肝癌细胞、胃癌细胞、乳腺癌细胞、宫颈癌细胞中的表达,并用SPSS13.0进行统计学分析。结果:SMP30 mRNA在所有被检测的细胞株中均有表达,在癌细胞中的相对表达量分别为肝癌细胞(0.926±0.340)、胃癌细胞(0.922±0.379)、乳腺癌细胞(0.614±0.356)、宫颈癌细胞(0.608±0.346),而在正常肝细胞中为0.175±0.158,显示SMP30 mRNA在癌细胞中的表达量较正常肝细胞中高(P0.05),且在肝癌细胞中的表达量比在其他癌细胞中更高。结论:SMP30 mRNA在癌细胞中的表达高于正常肝细胞,且在肝癌细胞中的表达高于其他癌细胞,具有临床应用价值。     

Anticancer properties and mechanisms of fucoidan on mouse breast cancer in vitro and in vivo

Background

Fucoidan is a sulfated polysaccharide derived from brown algae that has been reported to perform multiple biological activities, including antitumor activity. In this study, we examined the influence of crude fucoidan on mouse breast cancer in vitro and in vivo.

Materials and Methods

In vitro, fluorescent staining, flow cytometry and Western blot were performed to analyze apoptosis and vascular endothelial growth factor (VEGF) expression of mouse breast cancer 4T1 cells. In vivo, therapy experiments were conducted on Babl/c mice bearing breast cancer. The tumor volume and weight were measured. The number of apoptotic cells and microvascular density (MVD) in tumor tissues were assessed by TUNEL and CD34 immunostaining. Immunohistochemical assays and ELISA assay were used to detect the expression of VEGF in tissues.

Results

In vitro studies showed that crude fucoidan significantly decreased the viable number of 4T1 cells, induced apoptosis and down-regulated the expression of VEGF. The expression of Bcl-2 was decreased, and the ratio of Bcl-2 to Bax was significantly decreased. The expression of Survivin and phosphorylated extracellular signal regulated protein kinases (ERKs) was decreased. Cytochrome C was released from mitochondria into cytosol, and the cleaved Caspase-3 protein rose after fucoidan treatment. Intraperitoneal injection of fucoidan in breast cancer models reduced the tumor volume and weight. The enhanced antitumor efficacy was associated with decreased angiogenesis and increased induction of apoptosis.

Conclusion

These findings indicated that crude fucoidan inhibited mouse breast cancer growth in vitro and in vivo. These data suggest that fucoidan may serve as a potential therapeutic agent for breast cancer.     

L-Arginine modulates CD3zeta expression and T cell function in activated human T lymphocytes

Engagement of the T cell receptor (TCR) by antigen or anti-CD3 antibody results in a cycle of internalization and re-expression of the CD3zeta. Following internalization, CD3zeta is degraded and replaced by newly synthesized CD3zeta on the cell surface. Here, we provide evidence that availability of the amino acid L-arginine modulates the cycle of internalization and re-expression of CD3zeta and cause T cell dysfunction. T cells stimulated and cultured in presence of L-arginine, undergo the normal cycle of internalization and re-expression of CD3zeta. In contrast, T cells stimulated and cultured in absence of L-arginine, present a sustained down-regulation of CD3zeta preventing the normal expression of the TCR, exhibit a decreased proliferation, and a significantly diminished production of IFNgamma, IL5, and IL10, but not IL2. The replenishment of L-arginine recovers the expression of CD3zeta. The decreased expression of CD3zeta is not caused by a decreased CD3zeta mRNA, an increased CD3zeta degradation or T cell apoptosis.     

Human Leukocyte Antigen-G (HLA-G) Polymorphism and Expression in Breast Cancer Patients

Human leukocyte antigen-G (HLA-G) is known to be implicated in a tumor-driven immune escape mechanism in malignancies. The purpose of this study was to investigate HLA-G polymorphism and expression in breast cancer. HLA-G alleles were determined by direct DNA sequencing procedures from blood samples of 80 breast cancer patients and 80 healthy controls. Soluble HLA-G (sHLA-G) was measured by enzyme-linked immunosorbent assay (ELISA) from serum specimens. HLA-G expression in breast cancer lesions was also analyzed by immunohistochemistry staining. The presence of HLA-G 3′ untranslated region (UTR) 14-bp sequence was analyzed and found to be associated with reduced risk of breast cancer susceptibility based on HLA-G expression in tissues (P = 0.0407). Levels of sHLA-G were higher in the breast cancer group (median 117.2 U/mL) compared to the control group (median 10.1 U/mL, P<0.001). The area under the receiver operating characteristic curve (AU-ROC) values of sHLA-G for differentiating breast cancer from normal controls and for detecting metastasis from other stages of breast cancer were 0.89 and 0.79, respectively. HLA-G polymorphism and expression may be involved in breast carcinogenesis and sHLA-G concentrations could be used as a diagnostic marker for detecting breast cancer.     

Glycoprotein profiles of human breast cells demonstrate a clear clustering of normal/benign versus malignant cell lines and basal versus luminal cell lines

Gene expression profiling has defined molecular subtypes of breast cancer including those identified as luminal and basal. To determine if glycoproteins distinguish various subtypes of breast cancer, we obtained glycoprotein profiles from 14 breast cell lines. Unsupervised hierarchical cluster analysis demonstrated that the glycoprotein profiles obtained can serve as molecular signatures to classify subtypes of breast cancer, as well as to distinguish normal and benign breast cells from breast cancer cells. Statistical analyses were used to identify glycoproteins that are overexpressed in normal versus cancer breast cells, and those that are overexpressed in luminal versus basal breast cancer. Among the glycoproteins distinguishing normal breast cells from cancer cells are several proteins known to be involved in cell adhesion, including proteins previously identified as being altered in breast cancer. Basal breast cancer cell lines overexpressed a number of CD antigens, including several integrin subunits, relative to luminal breast cancer cell lines, whereas luminal breast cancer cells overexpressed carbonic anhydrase 12, clusterin, and cell adhesion molecule 1. The differential expression of glycoproteins in these breast cancer cell lines readily allows the classification of the lines into normal, benign, malignant, basal, and luminal groups.