Expanding the protein catalogue in the proteome reference map of human breast cancer cells

In this report we present a catalogue of 162 proteins (including isoforms and variants) identified in a prototype of proteomic map of breast cancer cells. This work represents the prosecution of previous studies describing the protein complement of breast cancer cells of the line 8701-BC, which has been well characterized for several parameters, providing to be a useful model for the study of breast cancer-associated candidate biomarkers. In particular, 110 spots were identified ex novo by PMF, or validated following previous gel matching identification method; 30 were identified by N-terminal microsequencing and the remaining by gel matching with maps available from our former work. As a consequence of the expanded number of proteins, we have updated our previous classification extending the number of protein groups from 4 to 13. In order to facilitate comparative proteome studies of different kinds of breast cancers, in this report we provide the whole complement of proteins so far identified and grouped into the new classification. A consistent number of them were not described before in other proteomic maps of breast cancer cells or tissues, and therefore they represent a valuable contribution for breast cancer protein databases and for future application in basic and clinical researches.     

SHCBP1:乳腺癌治疗候选靶点和潜在预后标志物

探讨SHCBP1在乳腺癌及其不同亚型中的表达特征和预后价值。利用Oncomine, bc-GenExMiner v4.2, Kaplan-Meier plotter, GSE41994及STRING数据库分析乳腺癌病人SHCBP1的mRNA表达水平及其与乳腺癌患者生存率的相关性等。结果:(1)乳腺癌组织中SHCBP1的mRNA水平明显高于正常组织样本,但不同分子亚型的乳腺癌患者中SHCBP1的表达水平不同;(2)SHCBP1表达升高可导致Luminal A亚型更短的无转移生存期(Distant metastasis-free survival,DMFS)和无病生存期(Disease-free survival, DFS);(3)在雌激素受体阳性(ER+)、孕酮受体阳性(PR+)亚型、仅接受辅助化疗、仅接受辅助化疗的ER(+)与接受包括或排除内分泌治疗乳腺癌患者中,SHCBP1表达升高则无复发生存率(Relapse-free survival,RFS)显著缩短;(4)SHCBP1和CDC45 mRNA表达水平之间呈正相关,并可能与KIF23等10种蛋白相互作用。结论:SHCBP1是一种很有前景的乳腺癌预后指标和潜在的治疗靶点。     

Tartrate-resistant acid phosphatase 5b as a serum marker of bone metastasis in breast cancer patients

Diagnosis and follow-up of bone metastases in breast cancer patients usually rely on symptoms and imaging studies. Tartrate-resistant acid phosphatase 5b (TRACP 5b) is a specific marker of osteoclasts and is herein proposed as a marker of bone metastasis in breast cancer patients. An immunoassay using a monoclonal antibody, 14G6, was used to measure the activity of serum TRACP 5b at pH 6.1 in 30 early breast cancer patients without bone metastasis and in 30 aged-matched breast cancer patients with bone metastasis. Another 60 normal volunteers were recruited as controls. Bone alkaline phosphatase (BAP), a traditional marker of bone turnover, was also measured in selected cases. The overall mean TRACP 5b activity in normal women was 2.83 ± 1.1 U/I, and it increased with age. The mean TRACP 5b activity in early breast cancer patients did not differ from that of the normal group (2.93 ± 0.64 vs. 2.83 ± 1.1 U/I; p=0.66), whereas it was significantly higher in breast cancer patients with bone metastasis (5.42 ± 2.5 vs. 2.83 ± 1.1 U/I; p<0.0001). BAP activity was significantly higher in breast cancer patients with bone metastasis than in early breast cancer patients (p=0.004). Serum TRACP 5b activity correlated well with BAP activity in breast cancer patients with bone metastasis (p<0.0001), but not in normal individuals or in patients without bone metastasis. TRACP 5b activity can be considered a surrogate indicator of bone metastasis in breast cancer patients.     

Prognostic role of c-met expression in breast cancer patients

Background

Hepatocyte growth factor plays an important role in tumor growth, metastasis and angiogenesis. C-met is HGF''s high affinity receptor.

Aim

The aim of the study was to assess the correlations between c-met expression and clinic-pathological factors in breast cancer tissues. Furthermore, the purpose of the study was to evaluate the prognostic value of the hepatocyte growth factor receptor (HGFR, c-met) expressions in homogenous group of breast cancer patients.

Materials and methods

Tumor samples were collected from 302 patients with breast carcinoma treated with primary surgery. We have assessed the percentage of tumor cells with c-met expression, the intensity of reaction and the ratio of these two factors—immunoreactivity according to the Remmele score.

Results

We have observed no correlations between HGFR immunoreactivities and clinical parameters (tumor size, grade, axillary lymph node status, age). In 5-year observation we have found prognostic value of assessing c-met immunoreactivity in primary tumor.

Conclusion

Our study has revealed prognostic value of c-met. Unlike in other authors’ studies, our patients’ group is very homogenous which might contribute to obtained results.     

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.     

Prognostic factors and survival in metastatic breast cancer: A single institution experience

Background

The current retrospective study aims to identify some determinants of survival in metastatic breast cancer.

Methods

The study concerned 332 patients with synchronous (SM) or metachronous (MM) metastatic breast cancer treated between January 2000 and December 2007. Statistical comparison between subgroups of patients concerning survival was carried out employing log-rank test for the invariable analysis and Cox model for the multivariable analysis. Factors included: age group (≤50 years vs. >50; ≤70 years vs. >70; ≤35 years vs. >35), menopausal status, presentation of metastatic disease (SM vs. MM), disease free interval (DFI) (≤24 months vs. >24 months; ≤60 months vs. >60 months), performance status at diagnosis of metastatic disease (PS) (0–1 vs. >1), hormone receptors (HR), number of metastatic sites (1 site vs. >1), nature of the metastatic site (visceral vs. non visceral), first line therapy, surgery of the primary tumor (SPT), locoregional radiotherapy (LRRT) and use or not of bisphosphonates.

Results

Overall survival at 5 years was 12%. Positive prognostic factors in univariate analysis were: age ≤ 70 years, hormono-dependence of the tumor, good PS (PS 0–1), less than two metastatic sites, no visceral metastases, DFI ≥ 24 months, SPT or LRRT. In multivariate analysis, favorable independent prognostic factors included: good PS (PS 0–1), absence of visceral metastases (liver, lung, brain) and age ≤ 70 years.

Conclusion

Many of the prognostic factors in metastatic breast cancer found in our study are known in the literature but some of them, like the application of locoregional treatment (radiotherapy or surgery) and the use of bisphosphonates, need to be further investigated in randomized clinical trials.     

HspBP1 levels are elevated in breast tumor tissue and inversely related to tumor aggressiveness

HspBP1 is a co-chaperone that binds to and regulates the chaperone Hsp70 (Hsp70 is used to refer to HSPA1A and HSPA1B). Hsp70 is known to be elevated in breast tumor tissue, therefore the purpose of these studies was to quantify the expression of HspBP1 in primary breast tumors and in serum of these patients with a follow-up analysis after 6 to 7 years. Levels of HspBP1, Hsp70, and anti-HspBP1 antibodies in sera of breast cancer patients and healthy individuals were measured by enzyme-linked immunosorbent assay. Expression of HspBP1 was quantified from biopsies of tumor and normal breast tissue by Western blot analysis. The data obtained were analyzed for association with tumor aggressiveness markers and with patient outcome. The levels of HspBP1 and Hsp70 were significantly higher in sera of patients compared to sera of healthy individuals. HspBP1 antibodies did not differ significantly between groups. HspBP1 levels were significantly higher in tumor (14.46 ng/μg protein, n = 51) compared to normal adjacent tissue (3.17 ng/μg protein, n = 41, p < 0.001). Expression of HspBP1 was significantly lower in patients with lymph node metastasis and positive for estrogen receptors. HspBP1 levels were also significantly lower in patients with a higher incidence of metastasis and death following a 6 to 7-year follow-up. The HspBP1/Hsp70 molar ratio was not associated with the prognostic markers analyzed. Our results indicate that low HspBP1 expression could be a candidate tumor aggressiveness marker. This work was supported by FAPERGS, CNPq, and the National Institute of General Medical Sciences grant number GM072628-02 (V.G.) The expression of HspBP1 (an Hsp70 co-chaperone) was analyzed in tumor samples and sera from breast cancer patients. HspBP1 is over expressed in these tumors and a seven year follow-up analysis found an association with a poor prognosis. Chaperones have been shown to play important roles in tumor biology and immunology; therefore, we believe the data in this study will serve as a basis for the formulation of a new hypothesis on chaperone-co-chaperone interactions and their role in tumor growth.     

Quantitative proteomics study of breast cancer cell lines isolated from a single patient: Discovery of TIMM17A as a marker for breast cancer

The proteins involved in breast cancer initiation and progression are still largely elusive. To gain insights into these processes, we conducted quantitative proteomic analyses with 21T series of breast cell lines, which include a normal, primary tumor and a metastatic tumor that were isolated from a single patient. Stable isotope labeling of amino acid in cell culture followed by LC‐MS/MS analysis was performed and deregulated proteins were identified using statistical analysis. Gene ontology analysis revealed that proteins involved in metabolic processes were the most deregulated in both tumorigenesis and metastasis. Interaction network analysis indicated that ERBB2 signaling played a critical role in tumorigenesis. In addition to known markers such as ERBB2 and E‐cadherin, novel markers, including BRP44L, MTHFD2 and TIMM17A, were found to be overexpressed in 21T breast cancer cells and verified in additional breast cell lines. mRNA expression analysis as well as immunohistochemistry analysis in breast cancer tissues indicated that expression level of TIMM17A was directly correlated with tumor progression, and survival analysis suggested that TIMM17A was a powerful prognosis factor in breast cancer. More interestingly, overexpression and siRNA knockdown experiments indicated an oncogenic activity of TIMM17A in breast cancer. Our study provides a list of potential novel markers for breast cancer tumorigenesis and metastasis using a unique cell model. Further studies on TIMM17A as well as other markers on the list may reveal mechanisms that result in more effective therapeutics for cancer treatment.     

Evaluation of human LOX-12 as a serum marker for breast cancer

The high concentration of prostaglandins has been associated with chronic inflammatory diseases and several types of human cancers. This is due to the over expression of inflammatory enzymes like Cyclooxygenase (COX), Lipoxygenase (LOX) etc. The aim of this study was to quantify the LOX-12 with clinicopathological parameter of breast cancer patients and its response after chemotherapy to establish serum LOX-12 as a prognostic marker. This case-controlled study was performed on 86 biopsy proven breast cancer patients. Blood and tissue samples were collected from the patients. Serum LOX-12 of the study group was quantified by Surface Plasmon Resonance (SPR) and ELISA techniques by antibody–antigen interaction strategy. A significant increase in LOX-12 levels was observed in breast cancer patients (Mean ± SD = 40.54 ± 13.61 ng/ml) as compared to healthy controls (Mean ± SD = 13.42 ± 2.4 ng/ml) (p < 0.0001). Serum LOX-12 levels were significantly higher (p < 0.002) in patients with lymph node involvement. More than 75% patients had shown significant (p < 0.0001) reduction of LOX-12 levels after chemotherapy. This was also confirmed by ELISA. This study for the first time had co-related the quantity of serum LOX-12 with breast cancer and also with the effect of chemotherapy.     

Identification of specific reachable molecular targets in human breast cancer using a versatile ex vivo proteomic method

Targeting of tumoral tissues is one of the most promising approaches to improve both the efficacy and safety of anticancer treatments. The identification of valid targets, including proteins specifically and abundantly expressed in cancer lesions, is of utmost importance. Despite state-of-the-art technologies, the discovery of cancer-associated target proteins still faces the limitation, in human tissues, of antigen accessibility to suitable high-affinity ligands such as human mAb bound to bioactive molecules. Terminal perfusion of tumor-bearing mice or ex vivo perfusion of human cancer-bearing organs with a reactive biotin ester solution has successfully led to the identification of novel accessible biomarkers. This methodology is however restricted to perfusable organs, and excludes most of the tissues of interest to targeted therapies, e.g. primary breast cancer and metastases. Herein, we report on the development of a new chemical proteomic method that bypasses the perfusion step and thus offers the potential to identify accessible molecular targets in virtually all types of animal and human tissues. We have validated our new procedure by identifying biomarkers selectively expressed in human breast carcinoma. Overall, this powerful technology may lay the ground not only for custom-made therapies in cancer, but also for the development of therapies that need to be selectively delivered in a specific tissue.     

Proteomic analysis of selected prognostic factors of breast cancer

The incidence of breast cancer is on the rise but as yet there is no guaranteed beneficial treatment for many of the sufferers. The treatments specific for breast and other hormone-sensitive cancers work well at times, however, the population of women that they will benefit is relatively small. Many are limited to surgical, chemotherapy, and radiotherapy options. Here, using two-dimensional electrophoresis (2-DE) in conjunction with a silver stain and Western blotting approach, we attempt to locate selected known prognostic markers for breast cancer. With these results, we can exclude these proteins from the future search for potential pharmaceutical targets, using the same techniques. The proteins that were located include the estrogen receptor-alpha, beta-casein, cytokeratin 7, calponin and bax. For each protein an estimated M(r) and pI was gained. Each protein was found in multiple variants. By locating these proteins the number of unknown proteins found on the 2-DE gel has been reduced, helping the future search for novel markers that are shown as being differentially expressed between healthy and cancerous tissue samples.     

Flotillin depletion affects ErbB protein levels in different human breast cancer cells

The ErbB3 receptor is an important regulator of cell growth and carcinogenesis. Among breast cancer patients, up to 50–70% have ErbB3 overexpression and 20–30% show overexpressed or amplified ErbB2. ErbB3 has also been implicated in the development of resistance to several drugs used against cancers driven by ErbB1 or ErbB2. One of the main challenges in ErbB-targeting therapy is to inactivate signaling mediated by ErbB2–ErbB3 oncogenic receptor complexes. We analyzed the regulatory role of flotillins on ErbB3 levels and ErbB2–ErbB3 complexes in SKBR3, MCF7 and MDA-MB-134-VI human breast cancer cells. Recently, we described a mechanism for interfering with ErbB2 signaling in breast cancer and demonstrated a molecular complex of flotillin scaffolding proteins with ErbB2 and Hsp90. In the present study, flotillins were found to be in a molecular complex with ErbB3, even in cells without the presence of ErbB2 or other ErbB receptors. Depletion of either flotillin-1 or flotillin-2 resulted in downregulation of ErbB3 and a selective reduction of ErbB2–ErbB3 receptor complexes. Moreover, flotillin-2 depletion resulted in reduced activation of Akt and MAPK signaling cascades, and as a functional consequence of flotillin depletion, breast cancer cells showed an impaired cell migration.     

Downregulation of Wilms' tumor 1 protein inhibits breast cancer proliferation

High levels of Wilms' Tumor 1 (WT1) mRNA have been correlated with poor prognosis in breast cancer patients. However, the function of WT1 protein in breast cancer is not known. We observed that the levels of WT1 protein correlated with the proliferation of breast cancer cells. When the proliferation of breast cancer cells was stimulated by 17beta-estradiol, WT1 protein expression increased. But when the proliferation of breast cancer cells was inhibited by tamoxifen or all-trans retinoic acid (ATRA), WT1 protein expression decreased. We hypothesize that WT1 protein plays a role in regulating breast cancer cell proliferation. Using liposome-incorporated WT1 antisense oligodeoxynucleotides, we found that downregulation of WT1 protein expression led to breast cancer growth inhibition and reduced cyclin D1 protein levels. These results indicate that WT1 protein contributes to breast cancer progression by promoting breast cancer cell proliferation.     

The aetiology and pathogenesis of human breast cancer

Whilst investigators have clearly shown that non-hereditary factors dominate the aetiology of human breast cancer, they have failed to identify quantitatively important causes, and prospects for prevention remain indeed. However, progress in epidemiological and basic research has taken place during the last few years. Current evidence suggests that breast cancer may be affected by the intra-uterine environment, that exposures during adolescence are particularly important, and that pregnancy has a dual effect on breast cancer risk: an early increase followed by long-term protection. Great variation exists in the structural development of the breast ductal system already in the newborn — and by inference in utero — and a pregnancy induces permanent structural changes in the mammary gland. We suggest that these observations fit into an aetiological model with the following key components: (1) breast cancer risk depends on the number of cells at risk, the susceptibility of individual cells to malignant transformation, and on the degree of cellular proliferation, notably cells which can act as founders of breast cancer; (2) the number of target cells is determined by the hormonal environment mainly early in life, perhaps already in utero; (3) in adult life, hormones which are non-genotoxic, increase breast cancer risk by increasing selective cell proliferation and thus number of target cells and the risk of retention of spontaneous somatic mutations; (4) while a pregnancy stimulates the growth of already malignant cells to malignant transformation (and thereby entails a short-term risk increase) the dominating long-term protection occurs due to permanent structural changes, terminal differentiation and perhaps decreased cell proliferation and carcinogen-binding in combination.     

Organoid models for mammary gland dynamics and breast cancer

The mammary gland is a highly dynamic tissue that undergoes repeated cycles of growth and involution during pregnancy and menstruation. It is also the site from which breast cancers emerge. Organoids provide an in vitro model that preserves several of the cellular, structural, and microenvironmental features that dictate mammary gland function in vivo and have greatly advanced our understanding of glandular biology. Their tractability for genetic manipulation, live imaging, and high throughput screening have facilitated investigation into the mechanisms of glandular morphogenesis, structural maintenance, tumor progression, and invasion. Opportunities remain to enhance cellular and structural complexity of mammary organoid models, including incorporating additional cell types and hormone signaling.     

Expression of secreted frizzled-related protein 2 in a primary canine mammary tumor cell line: a candidate tumor marker for mammary tumor cells

Canine mammary tumors (CMTs) have been proposed to be a good animal model for human breast cancer. To provide a basis for the tumorigenic study of CMTs, cell lines were established using a modified cell culture technique. The epithelial morphology and immunostaining with cytokeratin 18 confirmed the epithelial origin of the cells. In an investigation of possible mammary tumorigenesis-related factors, the expression of Wnt signaling-related proteins was detected in cell lines. Secreted frizzled-related protein 2 (SFRP2) was abundantly expressed in CMT cells but not in normal canine mammary gland (MG) cells. Secreted frizzled-related protein 2 was secreted into the culture medium and was associated with the extracellular matrix. In addition, increased expressions of beta-catenin and cyclin D1 were observed in cells overexpressing SFRP2. The marked differential expression of SFRP2 reveals that this protein may be a potential candidate marker for CMTs. The CMT cell line established in this study provides a useful tool and experimental model for understanding both the tumorigenesis of CMTs and the role of Wnt signaling in cancers.     

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.     

Upregulation of plasma C9 protein in gastric cancer patients

Gastric cancer is one of the leading causes of cancer‐related deaths worldwide. Current biomarkers used in the clinic do not have sufficient sensitivity for gastric cancer detection. To discover new and better biomarkers, protein profiling on plasma samples from 25 normal, 15 early‐stage and 21 late‐stage cancer was performed using an iTRAQ‐LC‐MS/MS approach. The level of C9 protein was found to be significantly higher in gastric cancer compared with normal subjects. Immunoblotting data revealed a congruent trend with iTRAQ results. The discriminatory power of C9 between normal and cancer states was not due to inter‐patient variations and was independent from gastritis and Helicobacter pylori status of the patients. C9 overexpression could also be detected in a panel of gastric cancer cell lines and their conditioned media compared with normal cells, implying that higher C9 levels in plasma of cancer patients could be attributed to the presence of gastric tumor. A subsequent blind test study on a total of 119 plasma samples showed that the sensitivity of C9 could be as high as 90% at a specificity of 74%. Hence, C9 is a potentially useful biomarker for gastric cancer detection.     

Luminal (Her2 negative) prognostic index and survival of breast cancer patients

PurposeThe group of luminal (Her2 negative) is distinguished from other subtypes of breast cancer. We aimed to produce a prognostic index specific for luminal (Her2 negative) subtype breast cancer that could assist clinical treatment.MethodsThe test set comprised 406 consecutive luminal (Her2 negative) breast cancer patients. The relationship of 11 clinicopathologic factors including survivin with the 5-year disease-free survival was analyzed.ResultsIn univariate analysis, TNM stage, surgery, tumor size, lymph node involvement, and survivin expression were prognostic factors. In multivariate analysis, tumor size [HR (95% CI): 1.98 (1.12–3.49), p = 0.019], the number of lymph node metastasis [HR (95% CI): 1.75 (1.33–2.29), p < 0.0001] and the expression of progesterone receptor [HR (95% CI): 0.58 (0.36–0.95), p = 0.029] can independently predict prognosis. Prognostic index (PI) was calculated as 0.68 × tumor size + 0.56 × the number of lymph node metastasis − 0.54 × PR. According to the PI, patients were categorized into three groups: low, middle, and high risk group with the 5-year disease-free survival rates of 91.91%, 84.97% and 70.47%, respectively (P < 0.001). In the validation set, the luminal prognostic index (LPI) remained significant.ConclusionThe LPI may be a useful tool for evaluating the outcome of patients with luminal (Her-2 negative) breast cancer.