Gene/Protein Disease Symptom Drug Enzyme Compound
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Query: UMLS:C0006142 (breast cancer)
 160,383 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

Tumor suppressor gene DBC2 stops growth of tumor cells through regulation of CCND1. Interference of CCND1 down-regulation prevented growth arrest caused by DBC2 [T. Yoshihara, D. Collado, M. Hamaguchi, Cyclin D1 down-regulation is essential for DBC2's tumor suppressor function, Biochemical and biophysical research communications 358 (2007) 1076-1079]. It was also noted that DBC2 resistant cells eventually arose after repeated induction of DBC2 with muristerone A treatment [M. Hamaguchi, J.L. Meth, C. Von Klitzing, W. Wei, D. Esposito, L. Rodgers, T. Walsh, P. Welcsh, M.C. King, M.H. Wigler, DBC2, a candidate for a tumor suppressor gene involved in breast cancer, Proc. Natl. Acad. Sci. USA 99 (2002) 13647-13652]. In order to elucidate the mechanism of resistance acquisition, we analyzed DBC2 sensitive and resistant cells derived from the same progenitor cells (T-47D). We discovered that DBC2 protein was abundantly expressed in the sensitive cells when DBC2 was induced. In contrast, it was undetectable by western blot analysis in the resistant cells. We confirmed that the inducible gene expression system was responsive in both cells by detecting induced GFP. Additionally, inhibition of 26S proteasome by MG132 revealed production of DBC2 protein in the resistant cells. These findings indicate that the resistant T-47D cells survive DBC2 induction by rapid destruction of DBC2 through 26S proteasome-mediated protein degradation.
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PMID:DBC2 resistance is achieved by enhancing 26S proteasome-mediated protein degradation. 1761 77

Fluorescent (FISH) and chromogenic (CISH) in situ hybridization have recently become part of the diagnostic armamentarium of breast pathologists. HER2 gene testing by FISH and/or CISH has become an integral part of the diagnostic workup for patients with breast cancer. In this era of high throughput technologies, these techniques have proven instrumental for the validation of results from microarray-based comparative genomic hybridization and for the identification of novel oncogenes and tumor suppressor genes. Furthermore, FISH and CISH applied to tissue microarrays have expedited the characterization of genomic changes associated with specific breast cancer molecular subtypes and the identification of novel prognostic and predictive markers. In this review, we provide in this review a critical assessment of CISH and FISH and the impact of the analysis of amplification of specific oncogenes (eg, HER2, EGFR, MYC, CCND1, and FGFR1) and deletion of tumor suppressor genes (eg, BRCA1 and BRCA2) on our understanding of breast cancer.
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PMID:Chromogenic and fluorescent in situ hybridization in breast cancer. 1764 May 50

We aimed to investigate the role of CCND1 G870A polymorphism genetic and transcriptomic effects susceptibility in association with breast cancer carcinogenesis and clinical prognosis. A case-control study was conducted with the enrollment of 992 sporadic breast cancer patients and the corresponding 960 normal controls from routine mammographic or sonographic screening for breast cancer between 1995 and 2003 in Taiwan. The 167 fragment spanning the G870A polymorphism in exon 4-intron 4 boundary was amplified to identify genotype of CCND1 (G870A) polymorphism. Competitive RT-PCR were further performed to investigate alternative transcript in four different specimens in association with immunohistochemistry markers. The results showed that AG and AA subgroup were at increased risk for developing breast cancer compared with the GG genotype by 19% (OR 1.19 (0.85-1.67)) and by 34% (OR 1.34 (0.04-1.74)), respectively. A870 allele revealed a recessive tendency while GG and AA/AG subgroup was compared (OR 1.35 (1.07-1.70)). AA genotype also had a higher risk in premenopausal women than postmenopausal ones. The recurrence-free survival was longer in patients with GG+AG than that in patients with AA (P = 0.034). A870 allele produced more transcript b both in malignant. There were significant correlations between several immunohistochemistry markers (such as Ki-67) and cyclin D1 or CDk4. We concluded CCND1 G870A polymorphism make significant contribution to breast cancer in the country with the preponderance of breast cancer in young women. The role of G870A polymorphism in alternative transcript was not only implicated in CCND1 alternative splicing but also correlated with immunohistochemistry markers.
Breast Cancer Res Treat 2008 Jan
PMID:Tumor susceptibility and prognosis of breast cancer associated with the G870A polymorphism of CCND1. 1804 98

Using a large-scale case-control study, we examined whether common single-nucleotide polymorphisms (SNPs) within 13 genes involved in the cell cycle pathway are associated with breast cancer risk. Seventy-nine tag SNPs were used to evaluate 240 common SNPs found in the genes: CCND1, CCND2, CCND3, CCNE1, CDK2, CDK4, CDK6, CDKN1A, CDKNIB, CDKN2A/CDKN2B, CDKN2C and CDKN2D. These were genotyped in 2270 cases and 2280 controls from the Studies in Epidemiology and Risks of Cancer Heredity (SEARCH) study. Tag SNPs showing evidence of statistically significant differences between cases and controls (P < 0.1) were genotyped in a further 2200 cases and 2280 controls from the same population. This approach found evidence for breast cancer-associated SNPs in four of the cell cycle genes: the cyclin CCNE1 rs997669 had an odds ratio (OR) (GG/AA) of 1.18 [95% confidence interval (95% CI) 1.04-1.34] P = 0.003 and the cyclin-dependent kinase inhibitors-CDKN1A rs3176336: OR (TT/AA) = 1.25 (95% CI 1.11-1.42) P = 0.0026; CDKN1B rs34330: OR (TT/CC) = 1.22 (95% CI 1.02-1.47) P = 0.013 and the region of CDKN2A/2B rs3731239: OR (CC/TT) = 0.90 (95% CI 0.79-1.03) P = 0.013 and rs3218005 OR (GG/AA) = 1.55 (95% CI 1.02-2.37) P = 0.013 (P-values unadjusted for multiple testing). We were able to exclude the D-type cyclins, cyclin-dependent kinases, CDKN2C and CDKN2D from having any significantly associated risk with breast cancer in our study population. The combined effects of the cell cycle genes considered here provide evidence for a significant association with breast cancer risk in a global test (P-heterogeneity = 0.010, P-trend = 0.048). Further large-scale studies are needed to confirm these results.
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PMID:Association of single-nucleotide polymorphisms in the cell cycle genes with breast cancer in the British population. 1817 43

SOX genes encode a family of high-mobility group transcription factors that play critical roles in organogenesis. The functional specificity of different SOX proteins and the tissue specificity of a particular SOX factor are largely determined by the differential partnership of SOX transcription factors with other transcription regulators, many of which have not yet been discovered. Virtually all members of the SOX family have been found to be deregulated in a wide variety of tumors. However, little is known about the cellular and molecular behaviors involved in the oncogenic potential of SOX proteins. Using cell culture experiments, tissue analysis, molecular profiling, and animal studies, we report here that SOX2 promotes cell proliferation and tumorigenesis by facilitating the G(1)/S transition and through its transcription regulation of the CCND1 gene in breast cancer cells. In addition, we identified beta-catenin as the transcription partner for SOX2 and demonstrated that SOX2 and beta-catenin act in synergy in the transcription regulation of CCND1 in breast cancer cells. Our experiments not only determined a role for SOX2 in mammary tumorigenesis but also revealed another activity of the multifunctional protein, beta-catenin.
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PMID:The molecular mechanism governing the oncogenic potential of SOX2 in breast cancer. 1845 56

Estrogen receptor alpha (ERalpha) plays a key role in mammary gland development and is implicated in breast cancer through the transcriptional regulation of genes linked to proliferation and apoptosis. We previously reported that hexamethylene bisacetamide inducible protein 1 (HEXIM1) inhibits the activity of ligand-bound ERalpha and bridges a functional interaction between ERalpha and positive transcription elongation factor b (P-TEFb). To examine the consequences of a functional HEXIM1-ERalpha-P-TEFb interaction in vivo, we generated MMTV/HEXIM1 mice that exhibit mammary epithelial-specific and doxycycline-inducible expression of HEXIM1. Increased HEXIM1 expression in the mammary gland decreased estrogen-driven ductal morphogenesis and inhibited the expression of cyclin D1 and serine 2 phosphorylated RNA polymerase II (S2P RNAP II). In addition, increased HEXIM1 expression in MCF-7 cells led to a decrease in estrogen-induced cyclin D1 expression, whereas down-regulation of HEXIM1 expression led to an enhancement of estrogen-induced cyclin D1 expression. Studies on the mechanism of HEXIM1 regulation on estrogen action indicated a decrease in estrogen-stimulated recruitment of ERalpha, P-TEFb, and S2P RNAP II to promoter and coding regions of ERalpha-responsive genes pS2 and CCND1 with increased HEXIM1 expression in MCF-7 cells. Notably, increased HEXIM1 expression decreased only estrogen-induced P-TEFb activity. Whereas there have been previous reports on HEXIM1 inhibition of P-TEFb activity, our studies add a new dimension by showing that E(2)/ER is an important regulator of the HEXIM1/P-TEFb functional unit in breast cells. Together, these studies provide novel insight into the role of HEXIM1 and ERalpha in mammary epithelial cell function.
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PMID:HEXIM1 regulates 17beta-estradiol/estrogen receptor-alpha-mediated expression of cyclin D1 in mammary cells via modulation of P-TEFb. 1875 15

Association studies have been widely used to search for common low-penetrance susceptibility alleles to breast cancer in general. However, breast cancer is a heterogeneous disease and it has been suggested that it may be possible to identify additional susceptibility alleles by restricting analyses to particular subtypes. We used data on 710 single nucleotide polymorphisms (SNP) in 120 candidate genes from a large candidate gene association study of up to 4,470 cases and 4,560 controls to compare the results of analyses of "overall" breast cancer with subgroup analyses based on the major clinicopathologic characteristics of breast cancer (stage, grade, morphology, and hormone receptor status). No SNP was highly significant in overall effects analysis. Subgroup analysis resulted in substantial reordering of ranks of SNPs, as assessed by the magnitude of the test statistics, and some associations that were not significant for an overall effect were detected in subgroups at a nominal 5% level adjusted for multiple testing. The most significant association of CCND1 SNP rs3212879 with estrogen receptor-negative tumor types (P = 0.001) did not reach genome-wide significance levels. These results show that it may be possible to detect associations using subgroup analysis that are missed in overall effects analysis. If the associations we found can be replicated in independent studies, they may provide important insights into disease mechanisms in breast cancer.
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PMID:Common genetic variation in candidate genes and susceptibility to subtypes of breast cancer. 1912 6

Overexpression of the human epidermal growth factor receptor 2 (HER2) in breast tumors is associated with bad prognosis. Therefore, it is highly relevant to further improve understanding of the regulatory mechanisms of HER2 expression. In addition to gene amplification, transcriptional regulation plays a crucial role in HER2 overexpression. In this study, we analyzed 3 polymorphisms E2F2_-5368_A>G, CCND1_870_A>G and CCND3_-677_C>T located in genes involved in cell cycle regulation in the GENICA population-based and age-matched breast cancer case-control study from Germany. We genotyped 1,021 cases and 1,015 controls by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS). Statistical analyses were performed by conditional logistic regression. We observed no differences in genotype frequencies between breast cancer cases and controls. Subgroup analysis showed associations between carriers of the E2F2_-5368_G allele (OR: 0.60, 95% CI: 0.42-0.85), carriers of the CCND1_870_G allele (OR: 0.66, 95% CI: 0.45-0.96) and carriers of the CCND3_-677_T allele (OR: 1.72, 95% CI: 1.20-2.49) and HER2 expression in breast tumors. This finding points to an association of an increased expression of these cell cycle regulators with lower expression of HER2. An explanation for this observation might be that low expression of E2F2, CCND1 and CCND3 decrease levels of factors down-regulating HER2. We conclude that the analyzed polymorphisms located in E2F2, CCND1 and CCND3 are potential markers for HER2 status of breast tumors.
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PMID:Polymorphic loci of E2F2, CCND1 and CCND3 are associated with HER2 status of breast tumors. 1914 64

Tumour cell lines derived from breast cancer patients constitute one of the cornerstones of breast cancer research. To characterise breast cancer cell lines at the genetic level, we have developed a full tiling path bacterial artificial chromosome (BAC) array collection for comparative genomic hybridisation (aCGH). This aCGH BAC collection covers 98% of the entire human genome at a resolution of 40-60 kbp. We have used this platform alongside an in-house produced 17 K cDNA microarray set to characterise the genetic and transcriptomic profiles of 24 breast cancer cell lines, as well as cell types derived from non-diseased breast. We demonstrate that breast cancer cell lines have genomic and transcriptomic features that recapitulate those of primary breast cancers and can be reliably subclassified into basal-like and luminal subgroups. By overlaying aCGH and transcriptomic data, we have identified 753 genes whose expression correlate with copy number; this list comprised numerous oncogenes recurrently amplified and overexpressed in breast cancer (e.g., HER2, MYC, CCND1 and AURKA). Finally, we demonstrate that although breast cancer cell lines have genomic features usually found in grade III breast cancers (i.e., gains of 1q, 8q and 20q), basal-like and luminal cell lines are characterised by distinct genomic aberrations.
Breast Cancer Res Treat 2009 Dec
PMID:A high-resolution integrated analysis of genetic and expression profiles of breast cancer cell lines. 1916 12

Familial breast cancer represents up to 5% of all breast cancer cases. Recently, our group has performed a new SNP-based linkage study in 19 non-BRCA1/2 families. We found that a single family was linked to regions in two different chromosomes (11q13 and 14q21), and observed a non-parametric LOD score of 11.5 in both regions. In the present study, we ruled out any possible translocation between the chromosomes. We also used both a panel of STRs and an indirect approach based on HapMap data to narrow down these regions from 28 to 7 Mb in chromosome 11 and from 14.5 to 8.5 Mb in chromosome 14. We performed a mutational screening on candidate genes in 11q13 (NUMA1, FGF3, CCND1, RAD9A, RNF121, FADD and hsa-mir-192), and on FOXA1 in 14q21. Although we have not found any deleterious mutations in the coding region of these genes, data from STR markers confirm 11q13 as a candidate region to contain a breast cancer susceptibility gene.
Breast Cancer Res Treat 2009 Nov
PMID:A 7 Mb region within 11q13 may contain a high penetrance gene for breast cancer. 1920 78


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