Protein kinases C isozymes are differentially expressed in human breast carcinomas

AimsThe protein kinase C (PKC) family of enzymes has been implicated in cellular proliferation, differentiation, and apoptosis. However, the distribution of specific PKC isoforms with varying functions in normal and malignant human tissues remains to be determined. The objective of this study was to investigate the expression of certain PKC isoforms (α, βI, βII, ε) in human breast cancer specimens relative to adjacent uninvolved tissue (n = 24) and in the normal breast tissue obtained from patients undergoing reduction mammoplasty (n = 12).Main methodsWestern blot analysis using PKC isoform specific antibodies was performed on tissue extracts from breast tumors, adjacent uninvolved tissues, and reduction mammoplasty tissues.Key findingsMean levels of cytosolic and membrane PKC-α, PKC-βI, and PKC-βII were significantly higher in the cancer specimens than in the adjacent uninvolved breast tissues (Wilcoxon signed-ranks test; P < 0.05 for each, after adjustment for multiple comparisons). There was a notably higher mean level of membrane PKC-βII isozyme in Her-2 positive and in poorly differentiated tumors. No significant differences were observed when normal tissue adjacent to tumor was compared to breast tissue obtained from reduction mammoplasty specimens.SignificanceHigher level of PKC-α, PKC-βI, and PKC-βII in cancer specimens and higher level of PKC-βII in Her-2 positive tumors require further exploration of the intracellular pathways involving PKC-α and -β isoforms in breast cancer because both could be specific targets for the development of new therapies and for the prevention and treatment of this disease.     

Immunohistochemical analysis of advanced human breast carcinomas reveals downregulation of protein kinase C alpha.

Forty-six advanced-stage human breast carcinoma specimens were evaluated by immunohistochemistry for PKC alpha expression and compared with 25 samples of normal adjacent breast tissue. For normal tissue, the median staining of ductal epithelia was of moderate intensity. No staining was observed for 67% of tumor specimens, and only 4% showed intensities greater than the median observed in normal tissue. Faint to moderate PKC alpha staining was observed in the stroma, inflammatory cells, and fibroblasts of tumors but was absent in normal tissue. These findings demonstrate that downregulation of PKC alpha protein occurs in epithelial cells of advanced breast tumors (p<0.001).     

Contribution of individual PKC isoforms to breast cancer progression

The protein kinase C (PKC) family of serine/threonine kinases has been intensively studied in cancer since their discovery as major receptors for the tumor-promoting phorbol esters. The contribution of each individual PKC isozyme to malignant transformation is only partially understood, but it is clear that each PKC plays different role in cancer progression. PKC deregulation is a common phenomenon observed in breast cancer, and PKC expression and localization are usually dynamically regulated during mammary gland differentiation and involution. In fact, the overexpression of several PKCs has been reported in malignant human breast tissue and breast cancer cell lines. In this review, we summarize the knowledge available on the specific roles of PKC isoforms in the development, progression, and metastatic dissemination of mammary cancer. We also discuss the role of PKC isoforms as therapeutic targets, and their potential as markers for prognosis or treatment response.     

Age-related DNA methylation in normal breast tissue and its relationship with invasive breast tumor methylation

Age is a key risk factor for breast cancer and epigenetic alterations may contribute to age-related increases in breast cancer risk, though the relation of age-related methylation in normal breast tissues with altered methylation in breast tumors is unclear. We investigated the relation of age with DNA methylation in normal breast tissues genome-wide using two data sets from the Gene Expression Omnibus (GEO) database (GSE32393 and GSE31979). We validated our observations in an independent set of normal breast tissues, examined age-related methylation in normal breast for enrichment of genomic features, and compared age-related methylation in normal tissue with methylation alterations in breast tumors. Between the two array-based methylation data sets, there were 204 CpG loci with significant (P < 0.05) and consistent age-related methylation, 97% of which were increases in methylation. Our validation sets confirmed the direction of age-related DNA methylation changes in all measured regions. Among the 204 age-related CpG loci, we observed a significant enrichment for CpG islands (P = 8.7E-6) and polycomb group protein target genes (P = 0.03). In addition, 24 of the 204 CpGs with age-related methylation in normal breast were significantly differentially methylated between normal and breast tumor tissues. We identified consistent age-related methylation changes in normal breast tissue that are further altered in breast tumors and may represent early events contributing to breast carcinogenesis. This work identifies age-related methylation in normal breast tissue and begins to deconstruct the contribution of aging to epigenetic alterations present in breast tumors.     

乳腺癌组织中转化生长因子-beta1 和血管内皮生长因子的表达 及其与血管生成的关系

目的:研究转化生长因子-β1(transforming growth factor-β1,TGF-β1)和血管内皮生长因子(vascular endothelial cell growth factor,VEGF)在乳腺癌组织中的表达及其与血管生成的关系。方法:选取65例手术切除乳腺癌蜡块标本及其周围正常乳腺组织,分为两组:A组为对照组,检测标本为乳腺癌癌旁正常乳腺组织;B组为实验组,检测标本为乳腺癌组织,采用免疫组织化学染色和形态计量检测TGF-β1和VEGF在乳腺癌组织中的表达。利用CD34相关抗原标记血管内皮细胞,计数微血管密度(intratumoral mier oveseulardensity,MVD),并分析其与TGF-β1和VEGF表达的关系。结果:65例乳腺癌组织中,TGF-β1的阳性表达率为69.23%(45/65),TGF-β1阳性表达者MVD值(25.31±4.05)显著高于TGF-β1阴性表达者(21.23±4.29);VEGF的阳性表达率为78.46%(51/65),VEGF阳性表达者MVD值(26.62±3.41)亦明显显著高于VEGF阴性表达者(18.95±6.52)(均P<0.05)。不同病理类型的乳腺癌组织中TGF-β1、VEGF的阳性表达率比较差异无统计学意义(P>0.05),但TGF-β1、VEGF的阳性表达与乳腺癌的组织分级、淋巴结转移呈显著正相关(均P<0.05),且组织学分级越高、淋巴结转移越多,MVD值越大。结论:TGF-β1与VEGF在乳腺癌组织的表达高于正常乳腺组织,并与乳腺癌肿瘤血管的生成有关,二者有望作为乳腺癌恶性程度、浸润转移等生物学行为的评估指标。     

Comparative expression analysis of four breast cancer subtypes versus matched normal tissue from the same patients

Gene expression studies have been widely used in an effort to identify signatures that can predict clinical progression of cancer. In this study we focused instead on identifying gene expression differences between breast tumors and adjacent normal tissue, and between different subtypes of tumor classified by clinical marker status. We have collected a set of 20 breast cancer tissues, matched with the adjacent pathologically normal tissue from the same patient. The cancer samples representing each subtype of breast cancer identified by estrogen receptor ER(+/-) and Her2(+/-) status and divided into four subgroups (ER+/Her2+, ER+/Her2-, ER-/Her2+, and ER-/Her2-) were hybridized on Affymetrix HG-133 Plus 2.0 microarrays. By comparing cancer samples with their matched normal controls we have identified 3537 overall differentially expressed genes using data analysis methods from Bioconductor. When we looked at the genes in common of the four subgroups, we found 151 regulated genes, some of them encoding known targets for breast cancer treatment. Unique genes in the four subgroups instead suggested gene regulation dependent on the ER/Her2 markers selection. In conclusion, the results indicate that microarray studies using robust analysis of matched tumor and normal samples from the same patients can be used to identify genes differentially expressed in breast cancer tumor subtypes even when small numbers of samples are considered and can further elucidate molecular features of breast cancer.     

Age-related DNA methylation in normal breast tissue and its relationship with invasive breast tumor methylation

Age is a key risk factor for breast cancer and epigenetic alterations may contribute to age-related increases in breast cancer risk, though the relation of age-related methylation in normal breast tissues with altered methylation in breast tumors is unclear. We investigated the relation of age with DNA methylation in normal breast tissues genome-wide using two data sets from the Gene Expression Omnibus (GEO) database ({"type":"entrez-geo","attrs":{"text":"GSE32393","term_id":"32393"}}GSE32393 and {"type":"entrez-geo","attrs":{"text":"GSE31979","term_id":"31979"}}GSE31979). We validated our observations in an independent set of normal breast tissues, examined age-related methylation in normal breast for enrichment of genomic features, and compared age-related methylation in normal tissue with methylation alterations in breast tumors. Between the two array-based methylation data sets, there were 204 CpG loci with significant (P < 0.05) and consistent age-related methylation, 97% of which were increases in methylation. Our validation sets confirmed the direction of age-related DNA methylation changes in all measured regions. Among the 204 age-related CpG loci, we observed a significant enrichment for CpG islands (P = 8.7E-6) and polycomb group protein target genes (P = 0.03). In addition, 24 of the 204 CpGs with age-related methylation in normal breast were significantly differentially methylated between normal and breast tumor tissues. We identified consistent age-related methylation changes in normal breast tissue that are further altered in breast tumors and may represent early events contributing to breast carcinogenesis. This work identifies age-related methylation in normal breast tissue and begins to deconstruct the contribution of aging to epigenetic alterations present in breast tumors.     

Clinical significance of miR-140-5p and miR-193b expression in patients with breast cancer and relationship to IGFBP5

The functional role of IGFBP5 in breast cancer is complicated. Experimental and bioinformatics studies have shown that IGFBP5 is targeted by miR-140-5p and miR-193b, although this has not yet been proven in clinical samples. The aim of this study was to evaluate the expression of miR-140-5p and miR-193b in breast cancer and adjacent normal tissue and assess its correlation with IGFBP5 and the clinicopathological characteristics of the tumors. IGFBP5 protein expression was analyzed immunohistochemically and IGFBP5, miR-140 and miR-193b mRNA expression levels were analyzed with real-time RT-PCR. Tumor tissue had higher miR-140-5p expression than adjacent normal tissue (p = 0.015). Samples with no immunohistochemical staining for IGFBP5 showed increased miR-140-5p expression (p = 0.009). miR-140-5p expression was elevated in invasive ductal carcinomas (p = 0.002), whereas basal-like tumors had decreased expression of miR-140-5p compared to other tumors (p = 0.008). Lymph node-positive samples showed an approximately 13-fold increase in miR-140-5p expression compared to lymph node-negative tissue (p = 0.049). These findings suggest that miR-140-5p, but not miR-193b, could be an important determinant of IGFBP5 expression and clinical phenotype in breast cancer patients. Further studies are needed to clarify the expressional regulation of IGFBP5 by miR-140-5p.     

Low molecular weight cyclin E is specific in breast cancer and is associated with mechanisms of tumor progression

Low molecular weight (LMW) isoforms of cyclin E are posttranslationally generated in breast cancer cells and are associated with aggressive disease and poor prognosis. In this study, the specificity of LMW cyclin E to cancer cells was determined by measuring cyclin E expression in tumor and non-tumor tissue from 340 breast cancer patients. Our results reveal the LMW isoforms were detected significantly more frequently in breast tumor tissue than in adjacent non-tumor breast tissues (p     

Determination of stromal signatures in breast carcinoma

Many soft tissue tumors recapitulate features of normal connective tissue. We hypothesize that different types of fibroblastic tumors are representative of different populations of fibroblastic cells or different activation states of these cells. We examined two tumors with fibroblastic features, solitary fibrous tumor (SFT) and desmoid-type fibromatosis (DTF), by DNA microarray analysis and found that they have very different expression profiles, including significant differences in their patterns of expression of extracellular matrix genes and growth factors. Using immunohistochemistry and in situ hybridization on a tissue microarray, we found that genes specific for these two tumors have mutually specific expression in the stroma of nonneoplastic tissues. We defined a set of 786 gene spots whose pattern of expression distinguishes SFT from DTF. In an analysis of DNA microarray gene expression data from 295 previously published breast carcinomas, we found that expression of this gene set defined two groups of breast carcinomas with significant differences in overall survival. One of the groups had a favorable outcome and was defined by the expression of DTF genes. The other group of tumors had a poor prognosis and showed variable expression of genes enriched for SFT type. Our findings suggest that the host stromal response varies significantly among carcinomas and that gene expression patterns characteristic of soft tissue tumors can be used to discover new markers for normal connective tissue cells.     

Raman spectroscopy can differentiate malignant tumors from normal breast tissue and detect early neoplastic changes in a mouse model

Raman spectroscopy shows potential in differentiating tumors from normal tissue. We used Raman spectroscopy with near-infrared light excitation to study normal breast tissue and tumors from 11 mice injected with a cancer cell line. Spectra were collected from 17 tumors, 18 samples of adjacent breast tissue and lymph nodes, and 17 tissue samples from the contralateral breast and its adjacent lymph nodes. Discriminant function analysis was used for classification with principal component analysis scores as input data. Tissues were examined by light microscopy following formalin fixation and hematoxylin and eosin staining. Discriminant function analysis and histology agreed on the diagnosis of all contralateral normal, tumor, and mastitis samples, except one tumor which was found to be more similar to normal tissue. Normal tissue adjacent to each tumor was examined as a separate data group called tumor bed. Scattered morphologically suspicious atypical cells not definite for tumor were present in the tumor bed samples. Classification of tumor bed tissue showed that some tumor bed tissues are diagnostically different from normal, tumor, and mastitis tissue. This may reflect malignant molecular alterations prior to morphologic changes, as expected in preneoplastic processes. Raman spectroscopy not only distinguishes tumor from normal breast tissue, but also detects early neoplastic changes prior to definite morphologic alteration.     

Identification and pathway analysis of microRNAs with no previous involvement in breast cancer

microRNA expression signatures can differentiate normal and breast cancer tissues and can define specific clinico-pathological phenotypes in breast tumors. In order to further evaluate the microRNA expression profile in breast cancer, we analyzed the expression of 667 microRNAs in 29 tumors and 21 adjacent normal tissues using TaqMan Low-density arrays. 130 miRNAs showed significant differential expression (adjusted P value = 0.05, Fold Change = 2) in breast tumors compared to the normal adjacent tissue. Importantly, the role of 43 of these microRNAs has not been previously reported in breast cancer, including several evolutionary conserved microRNA*, showing similar expression rates to that of their corresponding leading strand. The expression of 14 microRNAs was replicated in an independent set of 55 tumors. Bioinformatic analysis of mRNA targets of the altered miRNAs, identified oncogenes like ERBB2, YY1, several MAP kinases, and known tumor-suppressors like FOXA1 and SMAD4. Pathway analysis identified that some biological process which are important in breast carcinogenesis are affected by the altered microRNA expression, including signaling through MAP kinases and TP53 pathways, as well as biological processes like cell death and communication, focal adhesion and ERBB2-ERBB3 signaling. Our data identified the altered expression of several microRNAs whose aberrant expression might have an important impact on cancer-related cellular pathways and whose role in breast cancer has not been previously described.     

Altered expression of insulin receptor isoforms in breast cancer

Purpose

Insulin-like growth factor (IGF) signaling through human insulin receptor isoform A (IR-A) contributes to tumorigenesis and intrinsic resistance to anti-IGF1R therapy. In the present study, we (a) developed quantitative TaqMan real time-PCR-based assays (qRT-PCR) to measure human insulin receptor isoforms with high specificity, (b) evaluated isoform expression levels in molecularly-defined breast cancer subtypes, and (c) identified the IR-A:IR-B mRNA ratio as a potential biomarker guiding patient stratification for anti-IGF therapies.

Experimental Design

mRNA expression levels of IR-A and IR-B were measured in 42 primary breast cancers and 19 matched adjacent normal tissues with TaqMan qRT-PCR assays. The results were further confirmed in 165 breast cancers. The tumor samples were profiled using whole genome microarrays and subsequently subtyped using the PAM50 breast cancer gene signature. The relationship between the IR-A:IR-B ratio and cancer subtype, as well as markers of proliferation were characterized.

Results

The mRNA expression levels of IR-A in the breast tumors were similar to those observed in the adjacent normal tissues, while the mRNA levels of IR-B were significantly decreased in tumors. The IR-A:IR-B ratio was significantly higher in luminal B breast cancer than in luminal A. Strong concordance between the IR-A:IR-B ratio and the composite Oncotype DX proliferation score was observed for stratifying the latter two breast cancer subtypes.

Conclusions

The reduction in IR-B expression is the key to the altered IR-A:IR-B ratio observed in breast cancer. The IR-A:IR-B ratio may have biomarker utility in guiding a patient stratification strategy for an anti-IGF therapeutic.     

Estrogen receptor mutations in breast cancer

The malignant potential of solid tumors is related to the ability to invade adjacent tissue and to metastasize. These properties of cancer cells depend on the synthesis of proteolytic enzymes which are able to digest adjacent connective tissue and basement membranes. We hypothesized that all elements of the plasminogen activation system might be overexpressed in malignant human breast tumors, functioning as an essential element in tumor invasion and metastasis. As determined by histopathological methods, the malignant tumors showed statistically significantly higher expression of urokinase plasminogen activator (uPA), type-1 plasminogen activator inhibitor (PAI-1), and especially urokinase plasminogen activator receptor (uPAR) than benign tissues. All those elements were present in higher amounts in the cancer cells than in the cells of benign or normal breast tissues. High exhibition of tissue plasminogen activator (tPA) found in cancer seems to be random and not related to the malignant or benign state, since benign and malignant tumors show overexpression of tissue plasminogen activator with similar frequency. When the tumors express high amounts of uPA, they express a high amount of uPAR in 50% of cases and PAI-1 in 57.3% of cases. When urokinase is expressed in low amount, the receptor is low in 28.6% and inhibitor in 21.4% of malignant breast tumors. This statistically significant consensus, 78.6% in the case of urokinase and its receptor and 78.6% in case of urokinase and its inhibitor, suggests that these activities may be the result of a unique mechanism of control, activated in the last steps of malignant transformation.     

Aromatase in the normal breast and breast cancer

Adipose tissue and muscle constitute the larger proportion of body mass, and therefore aromatization in these tissues is the major source of circulating estrogens in postmenopausal women. Although plasma estrogen concentrations are very low, levels in breast cancers from postmenopausal patients are reported to be 10-fold higher than in plasma and normal tissue. Whereas studies on aromatase activity in the tumor suggest that estrogen may be produced locally, the significance of this contribution has been questioned. Using immunocytochemistry (ICC) to an anti-aromatase antibody, a relatively strong immunoreaction was detected in tumor epithelial cells as well as in the terminal ductal lobular units (TDLUs) of the normal breast. Aromatase expression was detected in the cytoplasm of tumor epithelial cells and the surrounding stromal cells of over 50% of tumors in a series of 19 breast cancers. In situ hybridization (ISH) to aromatase mRNA confirmed the immunocytochemical result that the epithelial cells are the primary site of estrogen synthesis in the breast and breast cancers. In the 10 tumors which showed immunoreaction to aromatase, the average aromatase activity measured in cryosections was 286.5 ± 18.6 fmol estrogen/mg protein/h (SE), whereas in nine tumors with weak aromatase immunoreaction, the enzyme activity was 154.7 ± 19.3 fmol estrogen/mg protein/h (P < 0.05) (SE). The functional significance of tumor aromatase and locally produced estrogens on the growth of tumors was suggested by the correlation between aromatase activity and proliferating cell nuclear antigen (PCNA), a marker of cell proliferation (P < 0.005). Although intratumoral aromatase activity did not correlate with steroid receptors significantly, there was a trend for estrogen receptor (ER)-positive tumors to express aromatase. In addition, proliferation ([³H]-thymidine incorporation into DNA) during histoculture, was increased by both estradiol and testosterone in tumors with high aromatase activity. Our results suggest that some tumors synthesize sufficient estrogen to stimulate their proliferation. It may thus be important to inhibit tumor aromatase as well as to reduce circulating levels of estrogen for effective breast cancer treatment.