Gene/Protein Disease Symptom Drug Enzyme Compound
Pivot Concepts: Gene/Protein Disease Symptom Drug Enzyme Compound   Target Concepts: Gene/Protein Disease Symptom Drug Enzyme Compound

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Query: UMLS:C0178874 (tumor progression)
40,807 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

To explore the molecular mechanisms for the similarities between inherited and noninherited forms of breast cancer, we tested the hypothesis that inactivation of BRCA1 by promoter hypermethylation is associated with reduced gene copy number and chromosome 17 aneusomy as observed in tumors from BRCA1 mutation carriers. Using a combination of methylation-specific PCR analysis and fluorescence in situ hybridization, we observed varying degrees of promoter methylation in 39 of 131 (29.8%) primary tumors. Despite significant tumor heterogeneity, mean copy numbers of BRCA1 and CEP17 per cell were lower in methylated cases compared with unmethylated cases [1.78 versus 2.30 (P = 0.001) and 1.85 versus 2.29 (P = 0.005), respectively]. Methylation was more frequently observed in younger women (P = 0.05) with high-grade (P = 0.001), estrogen receptor-negative (P = 0.04), and progesterone receptor-negative (P = 0.01) tumors. Moreover, methylation was associated with reduced or absent BRCA1 transcripts, which was reversible in the heavily BRCA1-methylated cell line UACC3199 following treatment with 5-aza-2'-deoxycytidine and trichostatin A. We identified five CpGs at positions -533, -355, -173, -21, and +44 as critical in the reexpression of BRCA1. We conclude that BRCA1 methylation contributes to a subset of sporadic breast cancers with the resulting molecular and clinicopathologic phenotype similar to that of hereditary BRCA1-associated breast cancers. Our data support a model of carcinogenesis in which BRCA1 promoter methylation may serve as a "first hit," much like an inherited germ line mutation, and promote tumor progression down a restricted set of molecular pathways.
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PMID:BRCA1 promoter methylation in sporadic breast cancer is associated with reduced BRCA1 copy number and chromosome 17 aneusomy. 1632 13

Emerging data suggest that p21-activated kinase 1 (Pak1), a downstream signaling molecule of the small GTPases, growth factors, and lipid signaling, is upregulated or hyperactivated in human breast cancer. Until now, however, no direct causative role had been found for Pak1 in mammary tumor formation. We therefore sought to identify the role that Pak1 plays in mammary gland tumorigenesis. Our results showed that in a transgenic mouse model, overexpression of catalytically active Pak1 leads to the development of malignant mammary tumors and to a variety of other breast lesions, including focal solid nodules, ductal hyperplasia, and mini-intraductal neoplasm and adenoma. We also found that Pak1 hyperactivation increases the stimulation of downstream proliferative signaling effectors MEK1/2 and p38-MAPK in mammary tumor epithelial cells. Moreover, in our study, we detected expression of estrogen receptor-alpha expression and progesterone receptor expression during early stages of the lesions, but their expression was lost during the cells' transition to malignant invasive tumors. Finally, we found that consistent with a role in breast tumor progression, Pak1 expression and its nuclear accumulation was increased progressively during the transition from ductal hyperplasia to ductal carcinoma in situ to adenocarcinoma in widely used multistep polyoma-middle T-antigen transgenic mice. Together, these findings provide the first direct evidence that Pak1 deregulation may be sufficient for the formation of mammary gland tumors.
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PMID:PAK1 hyperactivation is sufficient for mammary gland tumor formation. 1633 Dec 48

The present study was designed to investigate the effects of a phytoestrogens-containing soy extract (SOYSELECT, SSE) on the growth of estrogen-dependent (MCF-7) and estrogen-unresponsive (MDA-MB-231) human breast cancer xenografts in athymic mice. Results obtained provided evidence that MCF-7 tumors did not grow over the treatment period (5 weeks) in ovariectomized females receiving 50 or 100 mg/kg/day SSE (oral route); administration of SSE also did not affect the estradiol-sustained growth of MCF-7 tumors in mice. Similarly, no effects on tumor growth were observed in SSE-treated mice bearing MDA-MB-231 xenografts. Data from pS2, progesterone receptor and cyclin D1 mRNA expression in tumors showed that, although SSE was able to induce a moderate estrogenic effect in MCF-7 cells, it did not increase cellular proliferation and tumor growth, in our experimental conditions. Besides, when used in association with 17beta-estradiol, it displayed antiestrogenic activity. The expression of other genes involved in tumor progression and angiogenesis, such as Thrombospondin 1, Transforming Growth Factor beta2 and Kallikrein 6 was also evaluated in tumor samples, results showing a decrease in mRNA expression upon SSE treatment. The effect of SSE on angiogenesis in vivo was also evaluated in the Matrigel plug assay; results obtained showed a striking anti-angiogenic activity in mice receiving 100 mg/kg/day SSE, thereby confirming that this extract may interfere with angiogenesis. Collectively, these experimental data suggest that SSE could be not harmful for women with a history of or at high risk for breast cancer, at least for short treatment periods; however, further studies are needed to thoroughly characterize the activity profile of the extract in this specific setting of patients.
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PMID:Lack of stimulatory activity of a phytoestrogen-containing soy extract on the growth of breast cancer tumors in mice. 1640 Jan 87

The potential to metabolize endogenous and exogenous substances may influence breast cancer development and tumor growth. Therefore, the authors investigated the protein expression of Glutathione S-transferase (GST) isoforms and cytochrome P450 (CYP) known to be involved in the metabolism of steroid hormones and endogenous as well as exogenous carcinogens in breast cancer tissue to obtain new information on their possible role in tumor progression. Expression of GST pi, mu, alpha and CYP1A1/2, 1A2, 3A4/5, 1B1, 2E1 was assessed by immunohistochemistry for primary breast carcinomas of 393 patients from the German GENICA breast cancer collection. The percentages of positive tumors were 50.1 and 44.5% for GST mu and CYP2E1, and ranged from 13 to 24.7% for CYP1A2, GST pi, CYP1A1/2, CYP3A4/5, CYP1B1. GST alpha was expressed in 1.8% of tumors. The authors observed the following associations between strong protein expression and histopathological characteristics: GST expression was associated with a better tumor differentiation (GST mu, p = 0.018) and with reduced lymph node metastasis (GST pi, p = 0.02). In addition, GST mu expression was associated with a positive estrogen receptor and progesterone receptor status (p < 0.001). CYP3A4/5 expression was associated with a positive nodal status (p = 0.018). Expression of CYP1B1 was associated with poor tumor differentiation (p = 0.049). Our results demonstrate that the majority of breast carcinomas expressed xenobiotic and drug metabolizing enzymes. They particularly suggest that GST mu and pi expression may indicate a better prognosis and that strong CYP3A4/5 and CYP1B1 expression may be key features of nonfavourable prognosis.
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PMID:Expression of xenobiotic and steroid hormone metabolizing enzymes in human breast carcinomas. 1672 11

Previous studies indicated that interleukins 6 & 12 are multifunctional cytokines which regulate of immune response and cancer cell proliferation. We measured serum levels of these cytokines in 40 females with breast cancer and examined their correlation with clinicopathological variables including stages of the disease and estrogen and progesterone receptor expression on tumor cells. Serum levels of IL-6 (mean =111.38 pg/ml) as well as IL-12 (mean=1142.75 pg/ml) were significantly increased in breast cancer patients as compared to controls (mean 1.75 pg/ml &19.90 pg/ml respectively). A statistically significant correlation was found between levels of IL-6 as well as IL-12 and progression of the tumor (P < 0.05). However, no statistical difference was found in serum levels of these cytokines between metastatic and non-metastatic cases. Both cytokines negatively correlated with estrogen and progesterone receptor expression on tumor cells. In conclusion, serum levels of IL-6 and IL-12 are highly elevated in breast cancer patients and correlate with tumor progression. Assays for serum levels of IL-6 and IL-12 can be used as predictive non-invasive tests for tumor progression in breast cancer patients.
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PMID:Serum IL-6 and IL-12 levels in breast cancer patients. 1673 29

Transforming growth factor-beta (TGF-beta), a multifunctional growth factor, plays an important role in breast cancer. There is increasing evidence that enhanced expression of TGF-beta promotes breast cancer progression contributing to metastasis and invasiveness of the tumor. We identified a functional polymorphism in the TGFB2 promoter, a 4-bp insertion at position -246 relative to the transcriptional start site (-246ins). Transient transfection experiments showed that the -246ins polymorphism significantly increased TGFB2 promoter activity in breast cancer cells. Electrophoretic mobility shift assays revealed binding of the transcription factor Sp1 to the -246ins allele. Overexpression of Sp1 enhanced promoter activity of the -246ins allele, demonstrating that Sp1 mediates transcriptional activation. Furthermore, the -246ins allele was associated with enhanced TGF-beta(2) expression in breast cancer tissue (P = 0.0005). To evaluate the role of the polymorphism in breast cancer, frequency of the -246ins allele was determined in breast cancer patients (n = 78) and healthy female controls (n = 143). No significant differences were found. However, the presence of the -246ins allele was associated with lymph node metastasis (P = 0.003). The -246ins allele was a significant predictor for lymph node metastasis independent of estrogen and progesterone receptor status in a multivariate logistic regression analysis (P = 0.0118, odds ratio, 5.18; 95% confidence interval, 1.44-18.62). We provide evidence that the TGFB2 -246ins polymorphism leads to enhanced TGF-beta(2) expression levels in vivo and might thereby contribute to tumor progression and development of metastases.
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PMID:A novel functional polymorphism in the transforming growth factor-beta2 gene promoter and tumor progression in breast cancer. 1688 54

Using semi-quantitative microarray technology, almost every one of the approximately 30 000 human genes can be analyzed simultaneously with a low rate of false-positives, a high specificity, and a high quantification accuracy. This is supported by data from comparative studies of microarrays and reverse-transcription PCR for established cancer genes including those for epidermal growth factor receptor (EGFR), human epidermal growth factor receptor-2 (HER2/ERBB2), estrogen receptor (ESR1), progesterone receptor (PGR), urokinase-type plasminogen activator (PLAU), and plasminogen activator inhibitor-1 (SERPINE1). As such, semi-quantitative expression data provide an almost completely comprehensive background of biological knowledge that can be applied to cancer diagnostics. In clinical terms, expression profiling may be able to provide significant information regarding (i) the identification of high-risk patients requiring aggressive chemotherapy; (ii) the pathway control of therapy predictive parameters (e.g. ESR1 and HER2); (iii) the discovery of targets for biologically rational therapeutics (e.g. capecitabine and trastuzumab); (iv) additional support for decisions about switching therapy; (v) target discovery; and (vi) the prediction of the course of new therapies in clinical trials. In conclusion, whole genome expression analysis might be able to determine important genes related to cancer progression and adjuvant chemotherapy resistance, especially in the context of new approaches involving primary systemic chemotherapy. In this review, we will survey the current progress in whole genome expression analyses for cancer prognosis and prediction. Special emphasis is given to the approach of combining biostatistical analysis of expression data with knowledge of biochemical and genetic pathways.
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PMID:Whole genome expression analysis for biologic rational pathway modeling: application in cancer prognosis and therapy prediction. 1702 90

The importance of matrix metalloproteinases and their inhibitors in tumor progression is well documented. We wanted to investigate if single nucleotide polymorphisms (SNPs) in the promoter regions of these genes are associated with susceptibility to or progression of breast cancer. In this, so far largest case-control study, we genotyped eight SNPs in the MMP1, MMP2, MMP3, MMP9, MMP13, RECK and TIMP3 genes in a well-characterized breast cancer series of 959 cases and 952 controls from Sweden. Even though we did not correct for multiple comparisons, only a few associations were noted. We observed a moderately increased risk for the TT homozygotes of the MMP9-1562 C/T SNP (OR 1.88, 95% CI 0.97-3.63) and for the C allele carriers of the TIMP3-1296 T/C SNP (OR 1.25, 95% CI 1.05-1.50). In the survival analysis, only the TC heterozygotes of the RECK-420 T/C SNP showed a better survival compared to the TT homozygotes (P = 0.02 in all cases and P = 0.03 in lymph node negative cases). None of the other SNPs conferred an increased breast cancer risk, nor did they correlate with survival. A combination of the -585 TT homozygosity in the RECK gene and the -1296 TT homozygosity in the TIMP3 gene correlated with estrogen and progesterone receptor status (OR 1.81, 95% CI 1.03-3.21 and OR 2.10, 95% CI 1.18-3.86, respectively), and a combination of the -1306 TT homozygosity in the MMP2 gene and the -1562 CC homozygosity in the MMP9 gene with progesterone receptor status (OR 2.34, 95% CI 1.08-5.08). Although our study suggests some correlations between the studied SNPs and the progression of breast cancer, the rarity of the risk genotypes limits their usefulness in the clinic.
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PMID:Promoter polymorphisms in matrix metalloproteinases and their inhibitors: few associations with breast cancer susceptibility and progression. 1703 24

The results of previous studies done in our laboratory on breast cancer gene expression profile, using DNA microarrays, led to the discovery of several genes associated with breast cancer progression. Further evaluation of these genes and their involvement at various stages of cancer progression required performance of immunohistochemistry on thousands of different tissue blocks. Tissue microarray (TMA) technology facilitates rapid translation of DNA microarrays results to clinical specimens by using immunohistochemical analysis of protein expression. DNA microarray analysis done in our laboratory showed a significantly higher expression of prostatic-specific antigen (PSA) in invasive ductal carcinomas as compared to ductal carcinoma in situ, a finding contrary to the previously published data for PSA immunoreactivity in breast carcinomas. To find out whether TMA strategy could be used to explore the expression of the candidate genes involved in the breast cancer progression, we constructed a breast cancer progression TMA. It consisted of 2 normal ductal epithelium, 8 ductal carcinoma in situ, 19 invasive ductal carcinomas, and 3 metastatic ductal carcinomas of breast in triplets. Two prostatic adenocarcinomas and 2 normal colons were used as positive and negative controls, respectively. We first used well-documented and well-tested markers, such as antibodies to estrogen receptor, progesterone receptor, and p53. Results of these 3 antibodies were according to the previously published data. To validate our result, we then used antibody to PSA and looked for the expression of this protein on breast cancer progression TMA. Except for the 2 positive controls all 98 cores were found to be negative for PSA expression highlighting the importance of validation studies for DNA microarray results.
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PMID:Clinical validation of breast cancer biomarkers using tissue microarray technology. 1753 6

While the acquisition of invasiveness is a critical step in early stage breast carcinomas (DCIS), no established molecular markers reliably identify tumor progression. The metastasis gene osteopontin is subject to alternative splicing, which yields 3 messages, osteopontin-a, osteopontin-b and osteopontin-c. Osteopontin-c is selectively expressed in invasive, but not in noninvasive, breast tumor cell lines, and it effectively supports anchorage independence. We evaluated osteopontin-c as a biomarker. The RNA message for osteopontin-c was present in 16 of 20 breast cancers (80%), but was undetectable in 22 normal specimens obtained from reduction mammoplasty. In contrast, osteopontin-a RNA was expressed at various levels in all 20 breast cancers, 11 tumor-surrounding tissues and 21 normal samples. The splice variant osteopontin-b was present at barely detectable levels in 18 of 20 cancers and in 6 of 22 normal breasts. By immunohistochemistry, 66 of 69 normal breasts were negative, while 3 showed low level staining. Among the breast cancers, 43 of 56 cores (77%) stained positive for osteopontin-c. When correlated with tumor grade, the staining for osteopontin-c increased from grade 1 to grade 3. In a total of 178 breast specimens analyzed, osteopontin-c was present in 78% of cancers, 36% of surrounding tissues and 0% of normal tissues. Furthermore, osteopontin-c detects a higher fraction of breast cancers than estrogen receptor (ER), progesterone receptor or HER2. In conjunction, osteopontin-c, ER and HER2 reliably predict grade 2-3 breast cancer. Hence, osteopontin-c is a diagnostic and prognostic marker that may have value in a diagnostic panel together with conventional breast cancer markers.
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PMID:Osteopontin-c is a selective marker of breast cancer. 1830 53


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