Alteration in protein expression in estrogen receptor alpha-negative human breast cancer tissues indicates a malignant and metastatic phenotype

Testicular transcriptome alterations in zebrafish (Danio rerio) exposure to 17β-estradiol

The hormone 17β-estradiol (E₂) can be found in rivers, effluents, and even drinking water. Researches have demonstrated that E₂ affects various metabolic pathways through gene activation and may cause reproductive toxicity in fish. Therefore, the aim of this study was to evaluate E₂-induced toxicity via testicular transcriptome of zebrafish (Danio rerio) exposed to different concentrations (10 ng L^-1, and 100 ng L^-1) of E₂. A total of >600 significant differentially expressed genes (DEGs) were enriched among the three treatments. Short time-series expression miner analysis revealed five KEGG pathways including drug metabolism, other enzymes, calcium signaling pathway, ECM-receptor interaction, gap junction, and cell adhesion molecules. Twenty genes were selected to verify the accuracy of RNA-Seq. Other reported genes related to sex differentiation, development, energy metabolism, and other processes were found. One set of genes significantly increased/decreased/fluctuated over time, especially 12 h after E₂ exposure. Genes associated with ovaries (zp3c), and development (bmp15, gdf9, and sycp2l) were significantly upregulated with increasing E₂ concentration. E₂ and testosterone was significantly decreased by 10 (except for T) and 100 ng L^-1 E₂ exposure at 12 h. The current study demonstrated that sex differentiation, development, energy metabolism, immunity, and ribosome biogenesis in male zebrafish were all significantly affected by 17β-estradiol exposure through transcriptional alterations.

The clinical significance and biological function of tropomyosin 4 in colon cancer

Tropomyosin 4 (TPM4) has been found to be dys-regulated, and function as oncogene or anti-oncogene in human cancers. However, there was no report on the clinical significance and biological function of TPM4 in colon cancer. This study was designed to investigate the clinical value and biological function of TPM4 in colon cancer. Thus, we detected the TPM4 expression in colon cancer clinical samples, and conducted the gain-of-function in colon cancer cell lines. In our results, TPM4 mRNA and protein expressions were reduced in colon cancer tissues and cell lines compared with normal colon tissues and colon epithelial cell line, respectively. TPM4 protein low-expression was obviously associated with clinical stage, T classification (invasion depth), N classification (lymph node metastasis), distant metastasis and differentiation. Survival analysis showed low-expression of TPM4 was an unfavorable independent prognostic factor for colon cancer patients. Moreover, the experiments in vitro suggested up-regulated TPM4 expression suppressed colon cancer cell migration, invasion and metastasis-associated gene expression including MMP-2, MMP-9 and MT1-MMP, but had no effect on cell proliferation. In conclusion, TPM4 is associated with clinical progression in colon cancer patient and acts as a tumor suppressor in colon cancer cell.

Biclustering strategies for genetic marker selection in gynecologic tumor cell lines

Over the past few decades great interest has been focused on cell lines derived from tumors, because of their usability as models to understand the biology of cancer. At the same time, advanced technologies such as DNA-microarrays have been broadly used to study the expression level of thousands of genes in primary tumors or cancer cell lines in a single experiment. Results from microarray analysis approaches have provided valuable insights into the underlying biology and proven useful for tumor classification, prognostication and prediction. Our approach utilizes biclustering methods for the discovery of genes with coherent expression across a subset of conditions (cell lines of a tumor type). More specifically, we present a novel modification on Cheng & Church's algorithm that searches for differences across the studied conditions, but also enforces consistent intensity characteristics of each cluster within each condition. The application of this approach on a gynecologic panel of cell lines succeeds to derive discriminant groups of compact bi-clusters across four types of tumor cell lines. In this form, the proposed approach is proven efficient for the derivation of tumor-specific markers.

Quantitative tissue proteomic investigation of invasive ductal carcinoma of breast with luminal B HER2 positive and HER2 enriched subtypes towards potential diagnostic and therapeutic biomarkers

Worldwide, breast cancer is one of the frequently diagnosed cancers in women with high mortality if not diagnosed at early stage. Although biomarker discoveries through various proteomic approaches have been studied in breast cancer, a limited number of studies have explored the invasive ductal carcinoma with Luminal B HER2 positive (LB) and HER2 enriched (HE) subtypes. The present study employed the complementary quantitative proteomic approaches to find a panel of markers that could discriminate LB and HE subtypes as well as early (ES) and late stages (LS) of these subtypes. A total of 67 and 68 differentially expressed proteins were identified by DIGE for the subtype and stage wise categories, respectively. Multivariate statistical analysis was employed to identify the set of most significant proteins, which could discriminate between these two subtypes and also early and late stages under study. Immunoblotting and MRM based validation in a separate cohort of samples confirmed that panel of biosignatures for LB are APOA1, GELS, HS90B, EF1A1, NHRF1 and PRDX3 and for HE are PRDX1, CATD, CALR, ATPB and CH60. For the diagnosis of early and late stages the potential markers are TPM4, CATD, PRDX3, ANXA3, HSPB1 and CALR, TRFE, GELS, CH60, CAPG, NHRF1, 1433G, GRP78 respectively.

Breast cancer classification by proteomic technologies: current state of knowledge

Breast cancer is traditionally considered as a heterogeneous disease. Molecular profiling of breast cancer by gene expression studies has provided us an important tool to discriminate a number of subtypes. These breast cancer subtypes have been shown to be associated with clinical outcome and treatment response. In order to elucidate the functional consequences of altered gene expressions related to each breast cancer subtype, proteomic technologies can provide further insight by identifying quantitative differences at the protein level. In recent years, proteomic technologies have matured to an extent that they can provide proteome-wide expressions in different clinical materials. This technology can be applied for the identification of proteins or protein profiles to further refine breast cancer subtypes or for discovery of novel protein biomarkers pointing towards metastatic potential or therapy resistance in a specific subtype. In this review, we summarize the current state of knowledge of proteomic research on molecular breast cancer classification and discuss important aspects of the potential usefulness of proteomics for discovery of breast cancer-associated protein biomarkers in the clinic.

MTA1 expression correlates significantly with ER-alpha methylation in breast cancer

Metastasis tumor antigen 1 (MTA1), a novel candidate metastasis-associated gene, is known to increase the migration and invasion of various tumor cells in vitro. It also plays an important role in tumorigenesis and tumor aggressiveness of breast cancer. Estrogen receptor alpha (ERα) plays an important role in the etiology of breast cancer and has been widely accepted as a prognostic marker for breast cancer and a response predictor for endocrine therapy. The ERα gene methylation has been linked to the lack of ERα expression in breast cancer. The aim of the study is to assess the correlation between the ERα methylation and MTA1 expression in breast cancer and further to investigate whether the repressed ERα methylation can downregulate the expression of MTA1 in vitro. In general, we found ERα methylation had significant correlation with the MTA1 expression (p < 0.05) in female patients of breast cancer (n = 102) by methylation-specific polymerase chain reaction and immunohistochemistry. To gain a deeper insight into the molecular mechanism underlying the relation between MTA1 and ERα methylation, we treated the invasive breast cancer cell lines with the demethylating agent, found the downregulation of MTA1 protein expression, and mRNA with the unmethylation of ERα (p < 0.05). And the invasive ability of breast cancer cells was significantly positively associated with MTA1 expression. These unique findings have greatly extended our current knowledge about the relation between ERα methylation and MTA1 expression. These data strongly support the hypothesis that methylation is involved in the relation between MTA1 and ERα in breast cancer.

Identification of Potential Glycoprotein Biomarkers in Estrogen Receptor Positive (ER+) and Negative (ER-) Human Breast Cancer Tissues by LC-LTQ/FT-ICR Mass Spectrometry

Breast cancer is the second most fatal cancer in American women. To increase the life expectancy of patients with breast cancer new diagnostic and prognostic biomarkers and drug targets must be identified. A change in the glycosylation on a glycoprotein often causes a change in the function of that glycoprotein; such a phenomenon is correlated with cancerous transformation. Thus, glycoproteins in human breast cancer estrogen receptor positive (ER+) tissues and those in the more advanced stage of breast cancer, estrogen receptor negative (ER-) tissues, were compared. Glycoproteins showing differences in glycosylation were examined by 2-dimensional gel electrophoresis with double staining (glyco- and total protein staining) and identified by reversed-phase nano-liquid chromatography coupled with a hybrid linear quadrupole ion trap/ Fourier transform ion cyclotron resonance mass spectrometer. Among the identified glycosylated proteins are alpha 1 acid glycoprotein, alpha-1-antitrypsin, calmodulin, and superoxide dismutase mitochondrial precursor that were further verified by Western blotting for both ER+ and ER- human breast tissues. Results show the presence of a possible glycosylation difference in alpha-1-antitrypsin, a potential tumor-derived biomarker for breast cancer progression, which was expressed highest in the ER- samples.

Analysis of tubulin alpha-1A/1B C-terminal tail post-translational poly-glutamylation reveals novel modification sites

Tubulin-α(1A/1B) C-terminal tail (CTT) has seven glutamic acid residues among the last 11 amino acids of its sequence that are potential sites for glutamylation. Cleavage of C-terminal tyrosine resulting in the detyrosinated form of tubulin-α(1A/1B) is another major modification. These modifications among others bring about highly heterogeneous tubulin samples in brain cells and microtubules, play a major role in directing intracellular trafficking, microtubule dynamics, and mitotic events, and can vary depending on the cell and disease state, such as cancer and neurodegenerative disorders. Identified previously using primary mass spectrometry (MS) ions and partial Edman sequencing, tubulin-α(1A/1B) glutamylation was found exclusively on the E(445) residue. We here describe the analysis of tubulin-α(1A/1B) glutamylation and detyrosination after 2-DE separation, trypsin and proteinase K in-gel digestion, and nanoUPLC-ESI-QqTOF-MS/MS of mouse brain and bovine microtubules. Tyrosinated, detyrosinated, and Δ2-tubulin-α(1A/1B) CTTs were identified on the basis of a comparison of fragmentation patterns and retention times between endogenous and synthetic peptides. Stringent acceptance criteria were adapted for the identification of novel glutamylation sites. In addition to the previously identified site at E(445), glutamylation on mouse and bovine tubulin-α(1A/1B) CTTs was identified on E(441) and E(443) with MASCOT Expect values below 0.01. O-Methylation of glutamates was also observed.

Non-receptor tyrosine kinase 2 reaches its lowest expression levels in human breast cancer during regional nodal metastasis

Almost half of breast Ductal Carcinoma in situ are likely to remain non threatening in situ lesions with no invasion to the surrounding stroma and no metastases. The majority of focal disruptions in myoepithelial (ME) cell layers indicative of invasion onset were found to be overlying epithelial cell clusters with no or substantially reduced estrogen receptor α (ERα) expression. Here we report the down-regulation of tyrosine kinase-2 (TYK2) and up-regulation of strumpellin expression, among other proteins in ERα(-) cells located at disrupted ME layers compared to adjacent ERα(+) cells overlying an intact myoepithelial layer. ERα(+) and ERα(-) cells were microdissected from the same in vivo human breast cancer tissues, proteins were extracted and separated utilizing Differential in-Gel Electrophoresis followed by trypsin digestion, MALDI-TOF analysis, and protein identification. Proteins expressed by ERα(-) cell clusters were found to express higher levels of strumpellin that binds to valosin-containing protein (VCP) to slow-down wound closure and promote growth; and lower levels of TYK2, a jak protein necessary for lineage specific differentiation. TYK2 levels were further analyzed by immunohistochemistry in a cohort composed of 70 patients with broad clinical characteristics. TYK2 levels were minimal in TxN1M0 breast cancers which is the stage where the initial regional lymph node metastasis is observed. Our data highlight the role of TYK2 downregulation in breast cancer cell de-differentitation and initiation of regional metastasis. In addition, the aggressiveness of the ERα(-) cell clusters compared to ERα(+) ones present in the same duct of the same patient was confirmed.

Conjunction of tumor cells with lymphocytes: implications for tumor invasion and metastasis

Our previous studies have led to a novel hypothesis that tumor metastasis is triggered by aberrant lymphocyte infiltration that disrupts intercellular junctions and surface adhesion molecules and causes dissociation of tumor cells from the primary tumor core, allowing lymphocytes to conjoin with dissociated tumor cells and physically 'drag' them to different tissue sites. Our hypothesis is supported by morphological and immunohistochemical data from multiple types of human cancer. This hypothesis challenges the traditional belief that the physical conjunction between tumor cells and lymphocytes would lead to degeneration of the tumor cells. To validate our hypothesis, H&E and immunostained sections were examined under high magnification to identify potential signs of degeneration-related changes. Our study revealed that >60% of isolated tumor cells overlying focal capsule disruptions, or within the stroma and vascular structures, were physically conjoined with lymphocytes to form tumor cell-lymphocyte chimeras (TLCs). Approximately 90% of the tumor cell partners of TLCs were morphologically indistinguishable from their counterparts within the tumor core. In addition, one third of the tumor cells of TLCs expressed high levels of cell proliferation specific proteins, or were undergoing mitosis. Our study also revealed that a subset of dilated lymphatic ducts or blood vessels at the site of focal capsule disruptions harbored variable numbers of tumor cells, and the wall of these structures was in direct physical continuity with the myoepithelial cell layer. Our study suggests that the onset of tumor metastasis may occur in two forms: (1) lymphocyte-mediated shuttling that allows lymphocytes to physically 'drag' tumor cells to different sites, and (2) tumor progenitor-mediated angiogenesis that allows tumor cells to directly enter the vascular structures.

Novel stromal biomarkers in human breast cancer tissues provide evidence for the more malignant phenotype of estrogen receptor-negative tumors

Research efforts were focused on genetic alterations in epithelial cancer cells. Epithelial-stromal interactions play a crucial role in cancer initiation, progression, invasion, angiogenesis, and metastasis; however, the active role of stroma in human breast tumorigenesis in relation to estrogen receptor (ER) status of epithelial cells has not been explored. Using proteomics and biochemical approaches, we identified two stromal proteins in ER-positive and ER-negative human breast cancer tissues that may affect malignant transformation in breast cancer. Two putative biomarkers, T-cell receptor alpha (TCR-α) and zinc finger and BRCA1-interacting protein with a KRAB domain (ZBRK1), were detected in leukocytes of ER-positive and endothelial cells of ER-negative tissues, respectively. Our data suggest an immunosuppressive role of leukocytes in invasive breast tumors, propose a multifunctional nature of ZBRK1 in estrogen receptor regulation and angiogenesis, and demonstrate the aggressiveness of ER-negative human breast carcinomas. This research project may identify new stromal drug targets for the treatment of breast cancer patients.

Putative biomarkers and targets of estrogen receptor negative human breast cancer

Breast cancer is a progressive and potentially fatal disease that affects women of all ages. Like all progressive diseases, early and reliable diagnosis is the key for successful treatment and annihilation. Biomarkers serve as indicators of pathological, physiological, or pharmacological processes. Her2/neu, CA15.3, estrogen receptor (ER), progesterone receptor (PR), and cytokeratins are biomarkers that have been approved by the Food and Drug Administration for disease diagnosis, prognosis, and therapy selection. The structural and functional complexity of protein biomarkers and the heterogeneity of the breast cancer pathology present challenges to the scientific community. Here we review estrogen receptor-related putative breast cancer biomarkers, including those of putative breast cancer stem cells, a minor population of estrogen receptor negative tumor cells that retain the stem cell property of self-renewal. We also review a few promising cytoskeleton targets for ER alpha negative breast cancer.

Tumor suppressor RARRES1 interacts with cytoplasmic carboxypeptidase AGBL2 to regulate the α-tubulin tyrosination cycle

Even though it is among the most commonly methylated loci in multiple cancers, the retinoic acid-induced tumor suppressor retinoic acid receptor responder 1 (RARRES1) has no known function. We now show that RARRES1 is lost in many cancer cells, particularly those with a mesenchymal phenotype, and is a transmembrane carboxypeptidase inhibitor that interacts with ATP/GTP binding protein-like 2 (AGBL2), a cytoplasmic carboxypeptidase. Knockdown of AGBL2 results in a failure of the cell to detyrosinate the C-terminal EEY region of α-tubulin and indicates that it is a candidate for the long sought-after tubulin tyrosine carboxypeptidase important in the regulation of microtubule dynamics. In contrast, knockdown of RARRES1 increases the level of detyrosinated α-tubulin consistent with a role as the cognate inhibitor of AGBL2. We conclude that RARRES1, its interacting partners AGBL2, Eg5/KIF11, another EEY-bearing protein (EB1), and the microtubule tyrosination cycle are important in tumorigenesis and identify a novel area for therapeutic intervention.