54 research outputs found

    The role of estrogen receptors isoforms in breast cancer

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    Background: Estrogen and progesterone receptor (ER/PR) status is an accepted predictive marker in breast cancer. It is well known that breast tumors, which are ER(+) are more likely to respond to endocrine therapy. However, certain percentage of ER(+)/PR(+) tumors do not respond to endocrine therapy. Identification of the second estrogen receptor, named estrogen receptor beta (ERβ), as well as the existence of numerous isoforms/splice variants of both ERα and ERβ, suggests that complex regulation of estrogen action exists. In this study, we analyze does the expression of two ERβ isoforms correlates with ERα/PR status. Methods: Sixty samples of primary operable breast carcinomas were analyzed for ERα and PR protein levels and for mRNA expression of two ERβ isoforms (ERβ1 and ERβΔ5). ERα and PR proteins were measured by classical biochemical techniques, and ERβ mRNAs were measured by real-time RT-PCR. Results: Tumors are divided in three groups according to relative level of mRNA for ERβ1 and ERβΔ5. We found that there is no correlation of ERβ1 mRNA expression with ERα and PR protein levels. We confirmed the existence of inverse correlation of ERβΔ5 with PR and of ERβΔ5 with ERα in the group of postmenopausal patients. In the subsets of tumors defined by ERα/PR status, we found that percentage of tumors, which concomitantly expressed high levels of both transcripts, are parallel with those that do not response to tamoxifen treatment. Conclusion: Inverse correlation of ERα with ERβΔ5 and PR with ERβΔ5isoform suggests that ERβΔ5 may have inhibitory effect on ERα activity in postmenopausal patients. In addition, we point out that determination of expression profiles of ERα and ERβ isoforms in the defined groups of patient are necessary for elucidating its involvement in endocrine resistance.nul

    Optical Biopsy Method for Breast Cancer Diagnosis Based on Artificial Neural Network Classification of Fluorescence Landscape Data

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    Supervised self-organizing map, a type of artificial neural network, is applied for classification of human breast tissue samples utilizing data obtained from fluorescence landscape measurements. Female breast tissue samples were taken soon after the surgical resection, identified and stored at -80 degrees C until fluorescence measurements. From fluorescence landscapes obtained in UV-VIS region spectral features showing statistically significant differences between malignant and normal samples are identified and further quantified to serve as a training input to neural network. Additional set of samples was used as a test group input to trained network in order to evaluate performance of proposed optical biopsy method. Classification sensitivity of 83.9% and specificity of 88.9% are found.International School and Conference on Photonics (PHOTONICA09), Aug 24-28, 2009, Belgrade, Serbi

    Frequency of Aberrant Promoter Methylation of P15(Ink4b) and O-6-Methylguanine-Dna Methyltransferase Genes in B-Cell Non-Hodgkin Lymphoma: a Pilot Study

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    The methylation status of the target promoter sequences of p15(INK4B) (p15) and O-6-methylguanine-DNA methyltransferase (MGMT) genes was studied by methylation-specific PCR in 10 adult patients with de novo B-cell non-Hodgkin lymphoma (B-NHL). The aberrant hypermethylation of the p15 gene was more frequent (50%) compared to the hypermethylation of the MGMT gene (30%), and was detected in different types of B-NHL in both genes. Hypermethylation of the MGMT gene occurred exclusively in association with the hypermethylation of the p15 gene. All lymphoma patients with hypermethylation of the p15 and/or MGMT genes had a higher clinical stage of the disease (IV - V). We show the association of anemia and/or thrombocytopenia with the hypermethylation of the p15 gene, ascribing the p15 gene as a potential prognostic marker in B-NHL. Comethylation of MGMT with the p15 gene represents a novel finding and presents both genes as candidates for future studies of the hypermethylation profiles of B-NHL

    The role of estrogen receptors isoforms in breast cancer

    Get PDF
    Background: Estrogen and progesterone receptor (ER/PR) status is an accepted predictive marker in breast cancer. It is well known that breast tumors, which are ER(+) are more likely to respond to endocrine therapy. However, certain percentage of ER(+)/PR(+) tumors do not respond to endocrine therapy. Identification of the second estrogen receptor, named estrogen receptor beta (ERβ), as well as the existence of numerous isoforms/splice variants of both ERα and ERβ, suggests that complex regulation of estrogen action exists. In this study, we analyze does the expression of two ERβ isoforms correlates with ERα/PR status. Methods: Sixty samples of primary operable breast carcinomas were analyzed for ERα and PR protein levels and for mRNA expression of two ERβ isoforms (ERβ1 and ERβΔ5). ERα and PR proteins were measured by classical biochemical techniques, and ERβ mRNAs were measured by real-time RT-PCR. Results: Tumors are divided in three groups according to relative level of mRNA for ERβ1 and ERβΔ5. We found that there is no correlation of ERβ1 mRNA expression with ERα and PR protein levels. We confirmed the existence of inverse correlation of ERβΔ5 with PR and of ERβΔ5 with ERα in the group of postmenopausal patients. In the subsets of tumors defined by ERα/PR status, we found that percentage of tumors, which concomitantly expressed high levels of both transcripts, are parallel with those that do not response to tamoxifen treatment. Conclusion: Inverse correlation of ERα with ERβΔ5 and PR with ERβΔ5isoform suggests that ERβΔ5 may have inhibitory effect on ERα activity in postmenopausal patients. In addition, we point out that determination of expression profiles of ERα and ERβ isoforms in the defined groups of patient are necessary for elucidating its involvement in endocrine resistance.nul

    Response Factors to Pegylated Interferon-Alfa/Ribavirin Treatment in Chronic Hepatitis C Patients Genotype 1b

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    Hepatitis C virus infection is the most common chronic blood-borne infection and one of the most important causes of chronic liver disease. Knowing the predictors associated with pegylated interferon/ribavirin (PEG-IFN/RBV) combination therapy response is important for evidence-based treatment recommendations. The goal of this study was to identify host and viral factors of response to PEG-IFN/RBV treatment in chronic hepatitis C genotype 1b patients. We have examined the relationship between gender, age, level of alanine aminotransferase (ALT), viral load and liver fibrosis progression on therapy response. ALT level and viral load were evaluated before starting treatment with combination therapy. The elevated levels of ALT and route of HCV transmission were found to be significantly associated with the response to therapy in HCV-infected patients. Our findings may be useful for estimating a patients likelihood Of achieving sustained viral response

    The impact of PTEN tumor suppressor gene on acquiring resistance to tamoxifen treatment in breast cancer patients

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    Tamoxifen is a standard therapeutical treatment in patients with estrogen receptor positive breast carcinoma. However, less than 50% of estrogen receptor positive breast cancers do not respond to tamoxifen treatment whereas 40% of tumors that initially respond to treatment develop resistance over time. The underlying mechanisms for tamoxifen resistance are probably multifactorial but remain largely unknown. The primary aim of this study was to investigate the impact of PTEN tumor suppressor gene on acquiring resistance to tamoxifen by analyzing loss of heterozygosity (LOH) and immunohystochemical expression of PTEN in 49 primary breast carcinomas of patients treated with tamoxifen as the only adjuvant therapy. The effect of PTEN inactivation on breast cancer progression and disease outcome was also analyzed. Reduced or completely lost PTEN expression was observed in 55.1% of samples, while 63.3% of samples displayed LOH of PTEN gene. Inactivation of PTEN immunoexpression significantly correlated with the PTEN loss of heterozygosity, suggesting LOH as the most important genetic mechanism for the reduction or complete loss of PTEN expression in primary breast carcinoma. Most importantly, LOH of PTEN and consequential reduction of its immunoexpression showed significant correlation with the recurrence of the disease. Besides, our study revealed that LOH of PTEN tumor suppressor was significantly associated with shorter disease free survival, breast cancer specific survival and overall survival. In summary, our results imply that LOH of PTEN could be used as a good prognostic characteristic for the outcome of breast cancer patients treated with tamoxifen

    DNA microarrays - A new dimension in molecular oncology

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    DNA microarrays or gene chips are methods of performing an enormous number of parallel DNA hybridization experiments. Technically, this approach relies on the orderly attachment of a gene probes on solid surface (the array) where it can hybridize with a target DNA. The essential point is to know the exact location of specific probes on the array. The gene probes are single stranded DNA sequences that form complementary hybrids with fluorescently labeled target. After the removal of unhybridized target DNA or RNA, an informative fluorescent pattern results. This pattern together with the knowledge about the location and the sequence of the probes generates the sequence information about the target. Currently malignant diseases are diagnosed by variety of conventional methods that do not suffice for effective therapy. Molecular classification based on DNA chips has already proved that some cancer types thought to be a single disease actually are not. Importantly, each newly defined subtype requires different clinical approach. The emerging era of molecular pathology that relies on DNA microarrays offers major advancements in this field. This report provides an outline of basic concepts of the DNA microarray technology and its contributions to management of malignant disease

    Genotoxicity of the anticoccidial agent salinomycin

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    This report presents an analysis of genotoxic effects of the ionophoric antibiotic salinomycin commonly used in the control of coccidiosis. Mutagenic properties were determined, after application of increasing doses to experimental chinchilla rabbits, by monitoring mitotic activity of bone marrow cells, numerical chromosomal alterations and structural chromosomal aberrations. Moderate to non-significant genotoxicity was observed, except for the frequency of structural chromosomal aberrations where 19% of the examined mitoses displayed aberrations. This could lead to sterility or termination of embryonic development and, therefore, calls for caution in its use in clinical practice and poultry farming

    Application of Supervised Self-Organizing Maps in Breast Cancer Diagnosis by Total Synchronous Fluorescence Spectroscopy

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    Data from total synchronous fluorescence spectroscopy (TSFS) measurements of normal and malignant breast tissue samples are introduced in supervised self-organizing maps, a type of artificial neural network (ANN), to obtain diagnosis. Three spectral regions in both TSFS patterns and first-derivative TSFS patterns exhibited clear differences between normal and malignant tissue groups, and intensities measured from these regions served as inputs to neural networks. Histology findings are used as the gold standard to train self-organizing maps in a supervised way. Diagnostic accuracy of this procedure is evaluated with sample test groups for two cases, when the neural network uses TSFS data and when the neural network uses data from first-derivative TSFS. In the first case diagnostic sensitivity of 87.1% and specificity of 91.7% are found, while in the second case sensitivity of 100% and specificity of 94.4% are achieved
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