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Kornelia Polyak

Publications and source records attributed to Kornelia Polyak.

15 recordsLinked to original sources

DNA methylation of RASSF1A, HIN-1, RAR-beta, Cyclin D2 and Twist in in situ and invasive lobular breast carcinoma.

Little is known about epigenetic silencing of genes by promoter hypermethylation in lobular breast cancers. The promoter methylation status of 5 cancer-related genes (RASSF1A, HIN-1, RAR-beta, Cyclin D2 and Twist) was evaluated in 2 types of lobular cancers, in situ (LCIS) and invasive lobular carcinomas (ILC) (n = 32), and compared to ductal in situ (DCIS) and invasive (IDC) breast cancers (n = 71). By using methylation-specific PCR (MSP), 100% of ILC and 69% of LCIS cases were found to have 1 or more hypermethylated genes among the panel of 5 genes (compared to 100% IDC and 95% of DCIS). Two or more hypermethylated genes were detected per tumor in 79% of invasive and 61% of in situ lobular carcinomas compared to 81% of IDC and 77% of DCIS. By contrast, DNA from nearly all normal reduction mammoplasty tissues (n = 8) was unmethylated for the 5 genes. The methylation profiles of lobular vs. ductal carcinomas with respect to RASSF1A, Cyclin D2, RARbeta, and Hin-1 genes were similar, suggesting that gene silencing by promoter hypermethylation is likely to be important in both groups of diseases. Distinctly different, Twist was hyper- methylated less often in ILC (16%, 3/19 cases) than in IDC (56%, 15/27 cases) (p = 0.01). These results suggest that these 2 types of tumors share many common methylation patterns and some molecular differences. Additional studies might lend further understanding into the etiology and clinical behavior of this tumor type.

Adult↗

A neural survival factor is a candidate oncogene in breast cancer.

Using serial analysis of gene expression (SAGE), we identified a SAGE tag that was present only in invasive breast carcinomas and their lymph node metastases. The transcript corresponding to this SAGE tag, dermcidin (DCD), encodes a secreted protein normally expressed only in the pons of the brain and sweat glands. Array comparative genomic hybridization, fluorescence in situ hybridization, and immunohistochemical analyses determined that DCD is overexpressed in approximately 10% of invasive breast carcinomas; in some cases its overexpression is coupled with a focal copy number gain of its locus at 12q13.1, and its expression is associated with advanced clinical stage and poor prognosis. Expression of DCD in breast cancer cells promotes cell growth and survival and reduces serum dependency. Putative high- and low-affinity receptors for DCD are present on the cell surface of breast carcinomas and neurons of the brain. Based on these data we hypothesize that DCD may play a role in tumorigenesis by means of enhancing cell growth and survival in a subset of breast carcinomas.

Amino Acid Sequence↗

Identifying tumor origin using a gene expression-based classification map.

Identifying the primary site in cases of metastatic carcinoma of unknown origin has profound clinical importance in managing cancer patients. Although transcriptional profiling promises molecular solutions to this clinical challenge, simpler and more reliable methods for this purpose are needed. A training set of 11 serial analysis of gene expression (SAGE) libraries was analyzed using a combination of supervised and unsupervised computational methods to select a small group of candidate genes with maximal power to discriminate carcinomas of different tissue origins. Quantitative real-time PCR was used to measure their expression levels in an independent validation set of 62 samples of ovarian, breast, colon, and pancreatic adenocarcinomas and normal ovarian surface epithelial controls. The diagnostic power of this set of genes was evaluated using unsupervised cluster analysis methods. From the training set of 21,321 unique SAGE transcript tags derived from 11 libraries, five genes were identified with expression patterns that distinguished four types of adenocarcinomas. Quantitative real-time PCR expression data obtained from the validation set clustered tumor samples in an unsupervised manner, generating a self-organized map with distinctive tumor site-specific domains. Eighty-one percent (50 of 62) of the carcinomas were correctly allocated in their corresponding diagnostic regions. Metastases clustered tightly with their corresponding primary tumors. A classification map diagnostic of tumor types was generated based on expression patterns of five genes selected from the SAGE database. This expression map analysis may provide a reliable and practical approach to determine tumor type in cases of metastatic carcinoma of clinically unknown origin.

Adenocarcinoma↗

Lack of HIN-1 methylation in BRCA1-linked and "BRCA1-like" breast tumors.

We recently identified a candidate tumor suppressor gene, HIN-1, that is silenced due to methylation in the majority of sporadic breast carcinomas and is localized to 5q33-qter, an area frequently lost in BRCA1 tumors and thought to harbor a BRCA1 modifier gene. To establish whether germ-line mutations in HIN-1 may influence breast cancer risk, we sequenced the HIN-1 coding region in 10 familial breast cancer patients with positive logarithm of the odds scores of at least one of the markers flanking HIN-1. We also sequenced the HIN-1 coding region in 15 BRCA1 and 35 sporadic breast tumors to determine whether HIN-1 is the target of the frequent 5q loss in BRCA1 tumors. No sequence alterations were found in any of the cases analyzed. However, analysis of HIN-1 promoter methylation status revealed that in striking contrast to sporadic cases, there is a nearly complete lack of HIN-1 methylation in BRCA1 tumors (P < 0.0001). Sporadic breast tumors with a "BRCA1-like" histopathological phenotype also demonstrated significantly lower frequency of HIN-1 promoter methylation (P = 0.01) compared with other cancer types, and there was also a difference among tumors based on their estrogen receptor and HER2 status (P = 0.006), suggesting that HIN-1 methylation patterns are associated with specific breast cancer subtypes.

Breast Neoplasms↗

Cancer target discovery using SAGE.

Cancer is a genetic disease. Genetic events including mutations, chromosomal gains, losses and rearrangements, along with epigenetic alterations, lead to significant transcriptional changes in cancer cells. Changes in the expression of many genes associated with the onset and progression of cancer likely contribute to the cancerous phenotype. SAGE (Serial Analysis of Gene Expression) is an expression profiling method that allows for global, unbiased and quantitative characterisation of transcriptomes. The expression of thousands of genes can be analysed simultaneously without prior knowledge of their sequence, thus leading to the discovery of novel transcripts. In addition to characterising normal and malignant gene expression patterns, SAGE can be used to identify downstream targets of tumour suppressors and oncogenes and further annotate genomes. Comprehensive analyses of expression profiles using SAGE will yield many new diagnostic and prognostic markers as well as therapeutic targets in cancer.

Antineoplastic Agents↗

Molecular markers in ductal carcinoma in situ of the breast.

Gene expression patterns in ductal carcinoma in situ (DCIS), and in invasive, and metastatic breast tumors were determined using serial analysis of gene expression (SAGE). We used mRNA in situ hybridization to examine gene expression at the cellular level and immunohistochemistry on tissue microarrays to determine association between gene expression patterns and histopathologic characteristics of the tumors. We found that that the most dramatic transcriptome change occurs at the normal to DCIS transition, while there is no clear universal "in situ" or "invasive" tumor molecular signature. From the 16,430 transcripts analyzed, we identified only 5 and 11 that were preferentially up-regulated in DCIS and invasive tumors, respectively. The majority of invasive cancer specific SAGE tags correspond to novel genes. The genes we identified may define biologically and clinically meaningful subgroups of DCIS with a high risk of progression to invasive disease.

Breast Neoplasms↗

Breast cancer gene discovery.

Many important advances have been made in the past decade in understanding breast cancer at the molecular level, and two important high-penetrance breast cancer genes--BRCA1 and BRCA2--have been identified. However, germline mutations in these two genes are responsible for only a minority (approximately 5%) of all breast carcinomas, and the genes responsible for the majority of breast cancer cases remain to be identified. There is evidence that there are additional high-to-moderate-penetrance breast cancer susceptibility genes but, given the high degree of molecular heterogeneity in breast carcinomas, it is likely that each of these genes is responsible for only a subset of cases. There are also many candidate low-penetrance breast cancer genes and many more are likely to be identified. In addition to germline, and somatic, sequence alterations, epigenetic changes in many genes are likely to play an important role in the pathobiology of breast cancer. Recently developed genomic technologies and the completion of the human genome sequence provide us with powerful tools to identify novel candidate breast cancer genes that could play an important role in breast tumourigenesis.

Animals↗

Cellular and molecular targets of estrogen in normal human breast tissue.

To gain insight into the in vivo role of estrogen, we isolated estrogen receptor-positive cells fromnormal human breast tissue using a recombinant adenovirus that expresses green fluorescence protein in response to estrogen. We compared the global gene expression profile of these estrogen receptor-positive cells with that of various normal and cancerous mammary epithelial cells and identified several genes not implicated previously in estrogen signaling. One of these genes, lipocalin 2, is a putative in vivo estrogen target gene and paracrine factor that mediates the growth regulatory effects of estrogen in normal breast epithelium. These results demonstrate that normal and cancerous estrogen receptor-positive cells are distinct at the molecular level and suggest that lipocalin 2 is a new therapeutic target for breast cancer prevention and treatment.

Adenoviridae↗

An anatomy of normal and malignant gene expression.

A gene's expression pattern provides clues to its role in normal physiology and disease. To provide quantitative expression levels on a genome-wide scale, the Cancer Genome Anatomy Project (CGAP) uses serial analysis of gene expression (SAGE). Over 5 million transcript tags from more than 100 human cell types have been assembled. To enhance the utility of this data, the CGAP SAGE project created SAGE Genie, a web site for the analysis and presentation of SAGE data (http://cgap.nci.nih.gov/SAGE). SAGE Genie provides an automatic link between gene names and SAGE transcript levels, accounting for alternative transcription and many potential errors. These informatics advances provide a rapid and intuitive view of transcript expression in the human body or brain, displayed on the SAGE Anatomic Viewer. We report here an easily accessible view of nearly any gene's expression in a wide variety of malignant and normal tissues.

DNA, Mitochondrial↗

Novel estrogen and tamoxifen induced genes identified by SAGE (Serial Analysis of Gene Expression).

The breast cancer promoting effects of estrogen and the chemopreventive effects of tamoxifen are thought to be mediated by the estrogen receptor, a ligand-dependent transcription factor. Therefore, comprehensive analysis of gene expression profiles following estrogen or tamoxifen treatment may help us better understand the role estrogen plays in tumorigenesis. We utilized SAGE (Serial Analysis of Gene Expression) technology to identify genes regulated by estrogen and tamoxifen in the ZR75-1 estrogen dependent breast cancer cell line. In this manner we have identified several genes that were regulated by estrogen or tamoxifen. Here we report the identification and initial characterization of EIT-6 (Estrogen Induced Tag-6), a novel nuclear protein and a new member of the evolutionarily conserved SM-20 family of growth regulatory immediate-early genes. EIT-6 appears to be a direct transcriptional target of the estrogen receptor and constitutive expression of EIT-6 promotes colony growth in human breast cancer cells. These data indicate that EIT-6 may play a role in estrogen induced cell growth.

Amino Acid Sequence↗

Psoriasin expression in mammary epithelial cells in vitro and in vivo.

We determined, by serial analysis of gene expression (SAGE) analysis of normal and DCIS (ductal carcinoma in situ) mammary epithelial cells, that psoriasin and several other genes implicated in psoriasis are aberrantly expressed in high-grade, comedo DCIS. Real-time PCR, mRNA in situ hybridization, and immunohistochemical analysis of breast carcinomas confirmed that psoriasin is frequently overexpressed in estrogen receptor-negative tumors. To gain insight into regulatory pathways that control psoriasin expression, we developed polyclonal and monoclonal antibodies and investigated mechanisms that may account for elevated levels of psoriasin in DCIS. Here, we report that loss of attachment to extracellular matrix, growth factor deprivation, and confluent conditions dramatically up-regulate psoriasin expression in MCF10A mammary epithelial cells. All of these conditions are characteristic of high-grade DCIS and psoriatic skin lesions; therefore, the same mechanisms may be responsible for increased expression of psoriasin in vitro and in vivo.

Amino Acid Sequence↗

Expression of high in normal-1 (HIN-1) and uteroglobin related protein-1 (UGRP-1) in adult and developing tissues.

We analyzed the expression of high in normal-1 (HIN-1), a putative breast tumor suppressor gene, and uteroglobin related protein-1 (UGRP-1), a homologue of HIN-1, in adult and developing mouse tissues. Highest HIN-1 and UGRP-1 expression is detected in the lung, while lower level HIN-1 expression is also detected in the stomach, heart, small intestine, uterine and mammary glands. The expression of both genes was detected only at E17.5-18.5 and the HIN-1 messenger RNA was localized to the epithelia of the trachea, bronchi, and uterine glands. The expression of HIN-1 is up-regulated during retinoic acid induced differentiation of bronchial epithelial cells. We also identified two putative Drosophila HIN-1 homologues. The expression of HIN-1 is restricted to terminally differentiated airway epithelial cells in vivo and in vitro implicating HIN-1 in the acquisition or maintenance of terminally differentiated epithelial phenotype.

Amino Acid Sequence↗

Molecular alterations in ductal carcinoma in situ of the breast.

Despite recent improvements in the breast cancer mortality rate, breast cancer remains the most common cancer and the second leading cause of cancer-related deaths in US women. A decreasing trend in mortality rates is caused by advances in early detection and, to a lesser degree, in cancer therapies. With the increased utilization of mammography, one of the earliest detectable breast tumors, ductal carcinoma in situ, has become the most rapidly increasing subset of breast cancers. Contrary to the dramatic improvement in our ability to detect ductal carcinoma in situ, the pathophysiology of this disease is still poorly understood. Many molecular studies have been performed in ductal carcinoma in situ lesions with the aims of identifying genes involved in breast cancer initiation and progression, defining the relation between in situ and invasive carcinomas, and identifying clinically useful markers for breast cancer diagnosis, prognostication, prevention, and treatment.

Breast Neoplasms↗