AGR3 in Breast Cancer: Prognostic Impact and Suitable Serum-Based Biomarker for Early Cancer Detection

Blood-based early detection of breast cancer has recently gained novel momentum, as liquid biopsy diagnostics is a fast emerging field. In this study, we aimed to identify secreted proteins which are up-regulated both in tumour tissue and serum samples of breast cancer patients compared to normal tissue and sera. Based on two independent tissue cohorts (n = 75 and n = 229) and one serum cohort (n = 80) of human breast cancer and healthy serum samples, we characterised AGR3 as a novel potential biomarker both for breast cancer prognosis and early breast cancer detection from blood. AGR3 expression in breast tumours is significantly associated with oestrogen receptor α (P<0.001) and lower tumour grade (P<0.01). Interestingly, AGR3 protein expression correlates with unfavourable outcome in low (G1) and intermediate (G2) grade breast tumours (multivariate hazard ratio: 2.186, 95% CI: 1.008-4.740, P<0.05) indicating an independent prognostic impact. In sera analysed by ELISA technique, AGR3 protein concentration was significantly (P<0.001) elevated in samples from breast cancer patients (n = 40, mainly low stage tumours) compared to healthy controls (n = 40). To develop a suitable biomarker panel for early breast cancer detection, we measured AGR2 protein in human serum samples in parallel. The combined AGR3/AGR2 biomarker panel achieved a sensitivity of 64.5% and a specificity of 89.5% as shown by receiver operating characteristic (ROC) curve statistics. Thus our data clearly show the potential usability of AGR3 and AGR2 as biomarkers for blood-based early detection of human breast cancer.     

Identification of nuclear structural protein alterations associated with seminomas

Currently, there are no specific markers available for the early detection and for monitoring testicular cancer. Based upon an approach that targets nuclear structure, we have identified a set of proteins that are specific for seminomas, which may then have clinical utility for the disease. Utilizing samples obtained from men with no evidence of testicular cancer (n = 5) as well as those with seminomas (n = 6), nuclear matrix proteins were extracted and separated using a high‐resolution two‐dimensional electrophoresis gel system. The proteins were identified by mass spectrometry analysis. These analyses revealed seven nuclear matrix proteins associated with the normal testes, which did not appear in the seminomas. In the seminomas, four nuclear matrix proteins were identified to be associated with the disease that were absent in the normal testes. Mass spectrometric and immunoblot analyses of these proteins revealed that one of the proteins identified in the normal testes appears to be StAR‐related lipid transfer protein 7 (StARD7). In the non‐seminoma tissues, one of the identified proteins appears to be cell division protein kinase 10 (CDK10). Both StarD7 and CDK10 could potentially be involved in cell differentiation and growth, and thus may serve as potential targets for therapy of prognostication of seminomas. This is the first study to examine the role of nuclear structural proteins as potential biomarkers in testicular cancer. We are currently examining the roles of some of the identified proteins as potential biomarkers for the disease. J. Cell. Biochem. 108: 1274–1279, 2009. © 2009 Wiley‐Liss, Inc.     

Urinary proteome alterations in HER2 enriched breast cancer revealed by multipronged quantitative proteomics

Globally, breast cancer is the second most common cancer among women. Although biomarker discoveries through various proteomic approaches of tissue and serum samples have been studied in breast cancer, urinary proteome alterations in breast cancer are least studied. Urine being a noninvasive biofluid and a significant source of proteins, it has the potential in early diagnosis of breast cancer. This study used complementary quantitative gel‐based and gel‐free proteomic approaches to find a panel of urinary protein markers that could discriminate HER2 enriched (HE) subtype breast cancer from the healthy controls. A total of 183 differentially expressed proteins were identified using three complementary approaches, namely 2D‐DIGE, iTRAQ, and sequential window acquisition of all theoretical mass spectra. The differentially expressed proteins were subjected to various bioinformatics analyses for deciphering the biological context of these proteins using protein analysis through evolutionary relationships, database for annotation, visualization and integrated discovery, and STRING. Multivariate statistical analysis was undertaken to identify the set of most significant proteins, which could discriminate HE breast cancer from healthy controls. Immunoblotting and MRM‐based validation in a separate cohort testified a panel of 21 proteins such as zinc‐alpha2‐glycoprotein, A2GL, retinol‐binding protein 4, annexin A1, SAP3, SRC8, gelsolin, kininogen 1, CO9, clusterin, ceruloplasmin, and α1‐antitrypsin could be a panel of candidate markers that could discriminate HE breast cancer from healthy controls.     

A new ADP-ribosyltransferase in human serum: significance in cancer

A novel ADP-ribosyltransferase (ADPRT) is reported from sera of both healthy human subjects (n = 25) and patients with colorectal tumors (n = 12) and breast cancer (n = 55). In sera of healthy controls (n = 25) the average ADPRT values were 250 +/- 56 picokatal/liter. ADPRT serum activities in metastatic cancer patients (n = 47) were three times higher (p less than 0.01) than in normal controls. A tumor origin of the serum ADPRT can be inferred from the statistical correlation (R = 0.74) between tumor and serum levels. The radiometric test procedure (CV 20-25%) is critically validated and kinetic properties of serum ADPRT have been studied, showing a competitive inhibition by nicotinamide, benzamide and 3-aminobenzamide. The kinetic parameters of serum ADPRT resemble those reported for nuclear ADPRT, thus indicating that serum ADPRT activity could be due to a nuclear enzyme released from the tumor cells.     

Lipid peroxidation and antioxidant status in blood and tissue of malignant breast tumor and benign breast disease

Changes in the levels of malondialdehyde (MDA), nitrate and nitrite (as an index of nitric oxide production), lipid hydroperoxide (LOH), total antioxidant capacity (TAC), lipids (total cholesterol and triglycerides) and lipoproteins (HDL- and LDL-cholesterol) were estimated in breast cancer patients (n = 15) and benign breast disease (n = 15). Serum and tissue MDA levels were found to be decreased in breast cancer patients compared to the benign group (p < 0.05). In contrast, nitrate and nitrite levels were increased in serum and tissue of the cancer group compared to benign breast disease patients (p < 0.05). Compared to the benign group, tissue TAC levels were elevated in the breast cancer patient group (p < 0.05). Total cholesterol and HDL-cholesterol were elevated in the benign group compared with cancer patients (p < 0.05). These findings support the hypothesis that lipid peroxidation in serum and tissue of benign breast disease is greater than in breast cancer. However, the enhanced levels of nitric oxide may be in response to inflammation in patients with breast cancer. Total antioxidant status is lower in benign tissue than in cancerous tissue, probably to compensate for this elevated free radical production.     

A serological marker of the N-terminal neoepitope generated during LOXL2 maturation is elevated in patients with cancer or idiopathic pulmonary fibrosis

ObjectivesLysyl oxidase like 2 (LOXL2) is associated with poor prognosis in idiopathic pulmonary disease (IPF) and cancer. We developed an Enzyme-linked immunosorbent assay (ELISA) targeting the LOXL2 neo-epitope generated through the release of the signal peptide during LOXL2 maturation.Design and methodsAn ELISA targeting the N-terminal site of the human LOXL2 was developed including technical optimization and validation steps. Serum LOXL2 was measured in patients with breast, colorectal, lung, ovarian, pancreatic and prostate cancer, melanoma, IPF and in healthy controls (n = 16).ResultsA technically robust and specific assay was developed. LOXL2 was detectable in serum from healthy controls and showed reactivity towards recombinant LOXL2. Compared to controls, LOXL2 levels were significantly (p < 0.001–0.05) elevated in serum from patients with breast, colerectal, lung, ovarian and pancreatic cancer (mean range: 49–84 ng/mL), but not in prostate cancer (mean: 36 ng/mL) and malignant melanoma patients (41 ng/mL). Serum LOXL2 was elevated in IPF patients compared to healthy controls (mean: 76.5 vs 46.8 ng/mL; p > 0.001)ConclusionsA specific ELISA towards the N-terminal neo-epitope site in LOXL2 was developed which detected significantly elevated serum levels from patients with above-mentioned cancer types or IPF compared to healthy controls.     

A Novel Strategy for Detection and Enumeration of Circulating Rare Cell Populations in Metastatic Cancer Patients Using Automated Microfluidic Filtration and Multiplex Immunoassay

Size selection via filtration offers an antigen-independent approach for the enrichment of rare cell populations in blood of cancer patients. We evaluated the performance of a novel approach for multiplex rare cell detection in blood samples from metastatic breast (n = 19) and lung cancer patients (n = 21), and healthy controls (n = 30) using an automated microfluidic filtration and multiplex immunoassay strategy. Captured cells were enumerated after sequential staining for specific markers to identify circulating tumor cells (CTCs), circulating mesenchymal cells (CMCs), putative circulating stem cells (CSCs), and circulating endothelial cells (CECs). Preclinical validation experiments using cancer cells spiked into healthy blood demonstrated high recovery rate (mean = 85%) and reproducibility of the assay. In clinical studies, CTCs and CMCs were detected in 35% and 58% of cancer patients, respectively, and were largely absent from healthy controls (3%, p = 0.001). Mean levels of CTCs were significantly higher in breast than in lung cancer patients (p = 0.03). Fifty-three percent (53%) of cancer patients harbored putative CSCs, while none were detectable in healthy controls (p<0.0001). In contrast, CECs were observed in both cancer and control groups. Direct comparison of CellSearch^® vs. our microfluidic filter method revealed moderate correlation (R² = 0.46, kappa = 0.47). Serial blood analysis in breast cancer patients demonstrated the feasibility of monitoring circulating rare cell populations over time. Simultaneous assessment of CTCs, CMCs, CSCs and CECs may provide new tools to study mechanisms of disease progression and treatment response/resistance.     

Insulin-like growth factor 1 receptors (IGF1-R) and IGF1 in human breast tumors

To appreciate the IGF1 sensitivity of breast tumors we detected IGF1-R with a biochemical assay (RRA). We then localized and quantified IGF1-R on frozen tissue sections by histo-autoradiographic analysis (HAA). In some cases, the IGF1 and IGF1-R mRNA expression were studied by Northern blot analysis. We also studied the IGF1 plasma concentration in primary breast cancers compared to controls. IGF1-R (RRA) were found in 87% (n = 297) of the breast cancers. The mean geometric value was 3.87% (specific binding as percentage of total radioactivity); we found a highly significant correlation between IGF1-R and ER on the one hand (P = 0.0001) and PgR on the other (P = 0.0001) (Spearman test). The presence of IGF1-R was associated with a better prognosis, either on relapse-free survival (actuarial analysis: P = 0.004; Cox analysis: P = 0.005) or overall survival (respectively P = 0.003; P = 0.005). The median duration of follow-up was 30 months. By Cox analysis IGF1-R was a better prognostic factor than ER and PgR. In a series of 77 cases of benign breast disease only 47% (36/77) were positive; the mean geometric level was 1.8%. The HAA IGF1-R quantification in 20 breast carcinomas and 12 cases of benign breast disease confirmed the RRA results and demonstrated that the labeling was localized on the epithelial component. In four breast cancers, we did not detect IGF1 mRNA; IGF1-R probe demonstrated two major mRNAs of 11 and 7 kB. Finally we found that IGF1 plasma level was higher in breast cancer patients than in healthy controls of the same age. These results show that IGF1 is implicated in breast cancer growth and suggest that anti-IGF1 treatment might be useful in human breast cancer: for this reason, we and others carried out a phase II clinical trial with somatostatin.     

Protein microarray signature of autoantibody biomarkers for the early detection of breast cancer

Cancer patients spontaneously generate autoantibodies (AAb) to tumor-derived proteins. To detect AAb, we have probed novel high-density custom protein microarrays (NAPPA) expressing 4988 candidate tumor antigens with sera from patients with early stage breast cancer (IBC), and bound IgG was measured. We used a three-phase serial screening approach. First, a prescreen was performed to eliminate uninformative antigens. Sera from stage I-III IBC (n = 53) and healthy women (n = 53) were screened for AAb to all 4988 protein antigens. Antigens were selected if the 95th percentile of signal of cases and controls were significantly different (p < 0.05) and if the number of cases with signals above the 95th percentile of controls was significant (p < 0.05). These 761 antigens were screened using an independent set of IBC sera (n = 51) and sera from women with benign breast disease (BBD) (n = 39). From these, 119 antigens had a partial area under the ROC curve (p < 0.05), with sensitivities ranging from 9-40% at >91% specificity. Twenty-eight of these antigens were confirmed using an independent serum cohort (n = 51 cases/38 controls, p < 0.05). Using all 28 AAb, a classifier was identified with a sensitivity of 80.8% and a specificity of 61.6% (AUC = 0.756). These are potential biomarkers for the early detection of breast cancer.     

ARC (apoptosis repressor with caspase recruitment domain) is a novel marker of human colon cancer

The ability of cells to escape apoptosis is critical for carcinogenesis as well as resistance to radiation and chemotherapy. ARC (Apoptosis Repressor with CARD (caspase recruitment domain)) is an unusual inhibitor of apoptosis in that it antagonizes both the extrinsic (death receptor) and intrinsic (mitochondrial/ER) apoptosis pathways. ARC is expressed predominantly in terminally differentiated cells such as cardiac and skeletal myocytes and neurons. Recently, however, the abundance of ARC was noted to be markedly increased in the epithelium of primary human breast cancers compared with benign breast tissue and to confer chemo- and radiation-resistance. Whether the induction of ARC is specific to breast cancer or a more general feature of neoplasia remains unknown. In this study, we assessed the abundance and subcellular localization of ARC in 21 human colon cancer cell lines and in 44 primary human colon adenocarcinomas and adjacent benign colonic tissue. ARC was present at high levels in most colon cancer cell lines and in almost all primary colon cancers compared with corresponding controls. Levels of ARC in the cytoplasm were increased in well, moderately, and poorly differentiated cancers compared with benign tissue, while levels of nuclear ARC were increased only in moderately differentiated tumors. Moreover, epithelial cancers of the ovary and cervix exhibited increased ARC abundance compared with controls. These results demonstrate that ARC is a novel marker of human colon cancer and suggest that it may be a feature of epithelial cancers.     

Proteomic Analysis of Urine to Identify Breast Cancer Biomarker Candidates Using a Label-Free LC-MS/MS Approach

Introduction

Breast cancer is a complex heterogeneous disease and is a leading cause of death in women. Early diagnosis and monitoring progression of breast cancer are important for improving prognosis. The aim of this study was to identify protein biomarkers in urine for early screening detection and monitoring invasive breast cancer progression.

Method

We performed a comparative proteomic analysis using ion count relative quantification label free LC-MS/MS analysis of urine from breast cancer patients (n = 20) and healthy control women (n = 20).

Results

Unbiased label free LC-MS/MS-based proteomics was used to provide a profile of abundant proteins in the biological system of breast cancer patients. Data analysis revealed 59 urinary proteins that were significantly different in breast cancer patients compared to the normal control subjects (p<0.05, fold change >3). Thirty-six urinary proteins were exclusively found in specific breast cancer stages, with 24 increasing and 12 decreasing in their abundance. Amongst the 59 significant urinary proteins identified, a list of 13 novel up-regulated proteins were revealed that may be used to detect breast cancer. These include stage specific markers associated with pre-invasive breast cancer in the ductal carcinoma in-situ (DCIS) samples (Leucine LRC36, MAST4 and Uncharacterized protein CI131), early invasive breast cancer (DYH8, HBA, PEPA, uncharacterized protein C4orf14 (CD014), filaggrin and MMRN2) and metastatic breast cancer (AGRIN, NEGR1, FIBA and Keratin KIC10). Preliminary validation of 3 potential markers (ECM1, MAST4 and filaggrin) identified was performed in breast cancer cell lines by Western blotting. One potential marker MAST4 was further validated in human breast cancer tissues as well as individual human breast cancer urine samples with immunohistochemistry and Western blotting, respectively.

Conclusions

Our results indicate that urine is a useful non-invasive source of biomarkers and the profile patterns (biomarkers) identified, have potential for clinical use in the detection of BC. Validation with a larger independent cohort of patients is required in the following study.     

The impact of operative approach on outcome of surgery for gastro-oesophageal tumours

Background

Caveolin-1 is thought to have an important impact on both signal transduction and mediation of intracellular processes. Furthermore, it has been suggested that Caveolin-1 may contribute to certain steps of carcinogenesis in various types of cancer. We examined the potential clinical relevance of Caveolin-1 in normal, benign and malignant breast tissue specimens.

Methods

Using tissue microarray (TMA) technology cases of invasive breast cancer, DCIS, benign breast disease (i.e. fibroadenoma, sclerosing adenosis, ductal hyperplasia and radial scar) and normal breast tissue were evaluated for Caveolin-1 expression. Immunohistochemical staining with an anti-Caveolin-1-antibody was performed. Staining intensity was quantified semiquantitatively. In invasive lesions staining results were correlated with clinical and pathological data.

Results

No Caveolin-1 expression was observed in epithelial cells of normal breast tissue (n = 5), benign breast disease (n = 295) and DCIS (n = 108). However, Caveolin-1 expression was found in 32 of 109 cases of invasive breast carcinomas (29.4%). Caveolin-1 expression in invasive breast cancer could neither be correlated with survival parameters such as overall or disease-free survival nor with established clinical and pathological markers.

Conclusion

In this study we demonstrated expression of Caveolin-1 in one third of invasive breast cancers. A significant increase in Caveolin-1 expression was observed comparing invasive breast cancer to both benign breast tissue and non-invasive breast cancer. Since inhibitors of Caveolin-1 signalling are available, targeting Caveolin-1 in breast cancer may represent a potential option for future breast cancer treatment.     

The Association between Leptin Level and Breast Cancer: A Meta-Analysis

Background

Contradictory results have been reported regarding the association between leptin level and breast cancer. Therefore, a meta-analysis was performed to investigate this issue.

Methods

Published literature from PubMed and the Chinese National Knowledge Infrastructure (CNKI) Database was retrieved. This study was performed based on different cases and control groups. The combined effect () with 95% confidence interval (CI) was calculated using fixed-effects or random-effects model analysis.

Results

Overall, the mean serum leptin level of case groups was significantly higher than that of control groups. A) For 9 studies comparing breast cancer cases and healthy controls the combined effect was 0.58 with 95% CI (0.48, 0.68). B) For 4 studies comparing premenopausal breast cancer cases and healthy controls the was 0.32 (0.12, 0.52). C) For 5 studies comparing postmenopausal cases and healthy controls the was 0.65 (0.46, 0.84). D) For 4 studies comparing breast cancer cases and breast benign controls the was 0.38 (0.17, 0.59). E) For 2 studies comparing premenopausal breast cancer cases and breast benign controls the was 0.33 (-0.25, 0.91). F) For 6 studies comparing postmenopausal breast cancer cases and breast benign controls the was 0.39 (0.19, 0.60). G) For 4 studies comparing lymph node metastasis positive cases and negative controls the was 0.72 (0.45, 1.00). H) For 3 studies comparing breast benign cases and healthy controls the was 0.71 (0.41, 1.01).

Conclusion

This meta-analysis suggests that leptin level plays a role in breast cancer and has potential for development as a diagnostic tool.     

Circulating Tumor Cells Count and Morphological Features in Breast,Colorectal and Prostate Cancer

Background

Presence of circulating tumor cells (CTC) in patients with metastatic breast, colorectal and prostate cancer is indicative for poor prognosis. An automated CTC (aCTC) algorithm developed previously to eliminate the variability in manual counting of CTC (mCTC) was used to extract morphological features. Here we validated the aCTC algorithm on CTC images from prostate, breast and colorectal cancer patients and investigated the role of quantitative morphological parameters.

Methodology

Stored images of samples from patients with prostate, breast and colorectal cancer, healthy controls, benign breast and colorectal tumors were obtained using the CellSearch system. Images were analyzed for the presence of aCTC and their morphological parameters measured and correlated with survival.

Results

Overall survival hazard ratio was not significantly different for aCTC and mCTC. The number of CTC correlated strongest with survival, whereas CTC size, roundness and apoptosis features reached significance in univariate analysis, but not in multivariate analysis. One aCTC/7.5 ml of blood was found in 7 of 204 healthy controls and 9 of 694 benign tumors. In one patient with benign tumor 2 and another 9 aCTC were detected.

Significance of the study

CTC can be identified and morphological features extracted by an algorithm on images stored by the CellSearch system and strongly correlate with clinical outcome in metastatic breast, colorectal and prostate cancer.     

Nuclear localization of GLI1 and elevated expression of FOXC2 in breast cancer is associated with the basal-like phenotype

Aberrant sonic hedgehog (SHH)/glioma-associated oncogene (GLI) signaling has been shown in the development of many tumors. The aims of the present study are to determine the expression of two SHH signaling molecules, the glioma-associated oncogene homolog 1 (GLI1) and forkhead box C2 (FOXC2), in invasive breast cancers (IBC), to evaluate their association with clinicopathological parameters, and to determine their prognostic significance in breast cancer patients. Expression of GLI1 and FOXC2 were assessed by immunohistochemical analysis of a tissue microarray containing 262 unselected IBC cases. A statistical analysis was performed to assess the correlation of GLI1 and FOXC2 expression with the patients' clinicopathological parameters, postoperative survival rate, and molecular subtypes. Immunoreactivity of GLI1 and FOXC2 was observed in 84% and 75% of all breast cancer tissues, respectively. There was a significant correlation between nuclear FOXC2 and GLI1 expressions in these breast cancers, which was associated with estrogen receptor (ER) negativity. Furthermore, there was a significant association between nuclear expression of GLI1 and FOXC2 and a basal-like breast cancer phenotype. Patients with nuclear GLI1 or FOXC2-expressing tumors had a significantly shorter survival time than those without nuclear FOXC2 or GLI1 expression. Multivariate analysis showed that nuclear GLI1 or FOXC2 expression was an independent factor for predicting the prognosis of basal-like breast cancer. In conclusion, there was a significant correlation between expression of nuclear GLI1 or FOXC2 and human breast cancer. More specifically, elevated levels of these proteins were associated with the basal-like breast cancer phenotype and with a poor rate of disease-free survival. These data suggest that GLI1 and FOXC2 are involved in tumorigenesis and that they may be useful as diagnostic and therapeutic targets for human basal-like breast cancers. Additional studies are warranted to better understand the biological significance of GLI1 and FOXC2, to further refine statistics related to patient prognosis, and to optimize treatment of patients with basal-like breast cancer.     

Comparison of liver mitochondrial proteins derived from newborn cloned calves and from cloned adult cattle by two-dimensional differential gel electrophoresis

Aberrant reprogramming of donor somatic cell nuclei may result in many severe problems in animal cloning. The inability to establish functional interactions between donor nucleus and recipient mitochondria is also likely responsible for such a developmental deficiency. However, detailed knowledge of protein expression during somatic cell nuclear transfer (SCNT) in cattle is lacking. In the present study, variations in mitochondrial protein levels between SCNT‐derived and control cattle, and from calves derived by artificial insemination were investigated. Mitochondrial fractions were prepared from frozen liver samples and subjected to two‐dimensional (2‐D) fluorescence differential gel electrophoresis (DIGE) using CyDye? dyes. Protein expression changes were confirmed with a volume ratio greater than 2.0 (P < 0.05). 2D‐DIGE analysis revealed differential expression of three proteins for SCNT cattle (n = 4) and seven proteins for SCNT calves (n = 6) compared to controls (P < 0.05). Different protein patterning was observed among SCNT animals even if animals were generated from the same donor cell source. No differences were detected in two of the SCNT cattle. Moreover, there was no novel protein identified in any of the SCNT cattle or calves. In conclusion, variation in mitochondrial protein expression concentrations was observed in non‐viable, neonatal SCNT calves and among SCNT individuals. This result implicates mitochondrial‐related gene expression in early developmental loss of SCNT embryos. Comparative proteomic analysis represents an important tool for further studies on SCNT animals. Mol. Reprod. Dev. 78:263–273, 2011. © 2011 Wiley‐Liss, Inc.