Gene/Protein Disease Symptom Drug Enzyme Compound
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Query: EC:2.7.10.1 (ERK)
 95,504 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

While both murine and human homologues of the LSP1 gene (lymphocyte-specific gene 1) and its protein products have been identified, studies on human LSP1 have been limited. The present report describes a detailed immunocytochemical study of the distribution and localization of human LSP1 in both normal and neoplastic cells and tissues. The specificity of the monoclonal anti-LSP1 reagent was confirmed by expression cloning and transfection studies. The intracellular 60 000 MW LSP1 protein was found to be present in peripheral blood B cells, monocytes and granulocytes but absent in a subpopulation of circulating T cells (10-15% of CD3-positive T cells). The presence of LSP1 protein in medullary thymocytes, but only in scattered cortical thymocytes, provided additional evidence for heterogeneity of expression in T cells. Novel observations also included the presence of LSP1 in plasma cells, dendritic cells and Langerhans' cells. The leucocyte-restricted distribution of LSP1 protein means that it may play an important role in haematopathology. LSP1 protein was detected in a wide range of leukaemias and lymphomas, particularly of B-cell origin, and in tumour cells in classical Hodgkin's disease. Of interest was the indication of a reciprocal relationship in the expression of LSP1 and ALK (anaplastic lymphoma kinase) proteins in patients with anaplastic large cell lymphoma. As the anti-LSP1 reagent used in the present study recognizes a formalin-resistant epitope it should be of considerable value in the diagnosis of routinely fixed material.
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PMID:Lymphocyte-specific protein 1: a specific marker of human leucocytes. 1023 4

Breast cancer exhibits familial aggregation, consistent with variation in genetic susceptibility to the disease. Known susceptibility genes account for less than 25% of the familial risk of breast cancer, and the residual genetic variance is likely to be due to variants conferring more moderate risks. To identify further susceptibility alleles, we conducted a two-stage genome-wide association study in 4,398 breast cancer cases and 4,316 controls, followed by a third stage in which 30 single nucleotide polymorphisms (SNPs) were tested for confirmation in 21,860 cases and 22,578 controls from 22 studies. We used 227,876 SNPs that were estimated to correlate with 77% of known common SNPs in Europeans at r2 > 0.5. SNPs in five novel independent loci exhibited strong and consistent evidence of association with breast cancer (P < 10(-7)). Four of these contain plausible causative genes (FGFR2, TNRC9, MAP3K1 and LSP1). At the second stage, 1,792 SNPs were significant at the P < 0.05 level compared with an estimated 1,343 that would be expected by chance, indicating that many additional common susceptibility alleles may be identifiable by this approach.
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PMID:Genome-wide association study identifies novel breast cancer susceptibility loci. 1752 67

One purpose for seeking common alleles that are associated with disease is to use them to improve models for projecting individualized disease risk. Two genome-wide association studies and a study of candidate genes recently identified seven common single-nucleotide polymorphisms (SNPs) that were associated with breast cancer risk in independent samples. These seven SNPs were located in FGFR2, TNRC9 (now known as TOX3), MAP3K1, LSP1, CASP8, chromosomal region 8q, and chromosomal region 2q35. I used estimates of relative risks and allele frequencies from these studies to estimate how much these SNPs could improve discriminatory accuracy measured as the area under the receiver operating characteristic curve (AUC). A model with these seven SNPs (AUC = 0.574) and a hypothetical model with 14 such SNPs (AUC = 0.604) have less discriminatory accuracy than a model, the National Cancer Institute's Breast Cancer Risk Assessment Tool (BCRAT), that is based on ages at menarche and at first live birth, family history of breast cancer, and history of breast biopsy examinations (AUC = 0.607). Adding the seven SNPs to BCRAT improved discriminatory accuracy to an AUC of 0.632, which was, however, less than the improvement from adding mammographic density. Thus, these seven common alleles provide less discriminatory accuracy than BCRAT but have the potential to improve the discriminatory accuracy of BCRAT modestly. Experience to date and quantitative arguments indicate that a huge increase in the numbers of case patients with breast cancer and control subjects would be required in genome-wide association studies to find enough SNPs to achieve high discriminatory accuracy.
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PMID:Discriminatory accuracy from single-nucleotide polymorphisms in models to predict breast cancer risk. 1990 3

Recent genome-wide scans identified several novel breast cancer risk alleles, including variants of the FGFR2, MAP3K1 and LSP1 genes, and a study of associations between these alleles and characteristics of breast cancer patients reported a borderline significant correlation between the number of FGFR2 minor alleles and family history of breast/ovarian cancer. Given these results and similarities in the etiology of breast and ovarian cancer, we examined the association between 7 novel breast cancer susceptibility alleles and epithelial ovarian cancer risk in 2 large study populations. Our analysis included 1,173 cases and 1,201 controls from a New England-based Case-Control study and 210 cases and 603 controls from the prospective Nurses' Health Study. We used logistic regression to estimate the odds ratio (OR) for individuals heterozygous or homozygous for the minor allele at each locus, compared to individuals with the wild-type genotype. We examined the associations separately in each population and, after testing for heterogeneity in the results, pooled the estimates using a random effects model. There was no clear association between these polymorphisms and ovarian cancer risk in either population. The pooled per allele OR for FGFR2 was 1.06 (95% confidence interval (CI)=0.95-1.18) for rs1219648 and 1.04 (95% CI=0.93-1.15) for rs2981582. We had more than 80% power to detect a log-additive OR of 1.16-1.18 per allele at the alpha=0.05 level in the pooled analysis. Our results do not provide strong support for an association between these breast cancer susceptibility alleles and epithelial ovarian cancer risk.
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PMID:Breast cancer susceptibility alleles and ovarian cancer risk in 2 study populations. 1897 30

Breast cancer is a heterogeneous disease, and risk factors could be differentially associated with the development of distinct tumor subtypes that manifest different biological behavior and progression. In support of this view, there is growing evidence that known breast cancer risk factors vary by hormone receptor status and perhaps other pathologic characteristics of disease. Recent work from large consortial studies has led to the discovery of novel breast cancer susceptibility loci in genic (CASP8, FGFR2, TNRC9, MAP3K1, LSP1) and nongenic regions (8q24, 2q35, 5p12) of the genome, and to the finding of substantial heterogeneity by tumor characteristics. In particular, susceptibility loci in FGFR2, TNRC9, 8q24, 2q35, and 5p12 have stronger associations for estrogen receptor-positive (ER+) disease than estrogen receptor-negative (ER -) disease. These findings suggest that common genetic variants can influence the pathologic subtype of breast cancer, and provide further support for the hypothesis that ER+ and ER(-) disease result from different etiologic pathways. Current studies had limited power to detect susceptibility loci for less common tumor subtypes, such as ER(-) disease including triple-negative and basal-like tumors. Ongoing work targeting uncommon subtypes is likely to identify additional tumor-specific susceptibility loci in the near future. Characterization of etiologic heterogeneity of breast cancer may lead to improvements in the understanding of the biological mechanisms for breast cancer, and ultimately result in improvements in prevention, early detection, and treatment.
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PMID:Genetic susceptibility loci for breast cancer by estrogen receptor status. 1908 16

Breast cancer is the most common malignancy in women in the Western world. Except for the high breast cancer risk in BRCA1 and BRCA2 mutation carriers as well as the risk for breast cancer in certain rare syndromes caused by mutations in TP53, STK11, PTEN, CDH1, NF1 or NBN, familial clustering of breast cancer remains largely unexplained. Despite significant efforts, BRCA3 could not be identified, but several reports have recently been published on genes involved in DNA repair and single nucleotide polymorphisms (SNPs) associated with an increased breast cancer risk. Although candidate gene approaches demonstrated moderately increased breast cancer risks for rare mutations in genes involved in DNA repair (ATM, CHEK2, BRIP1, PALB2 and RAD50), genome-wide association studies identified several SNPs as low-penetrance breast cancer susceptibility polymorphisms within genes as well as in chromosomal loci with no known genes (FGFR2, TOX3, LSP1, MAP3K1, TGFB1, 2q35 and 8q). Some of these low-penetrance breast cancer susceptibility polymorphisms also act as modifier genes in BRCA1/BRCA2 mutation carriers. This review not only outlines the recent key developments and potential clinical benefit for preventive management and therapy but also discusses the current limitations of genetic testing of variants associated with intermediate and low breast cancer risk.
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PMID:Breast cancer susceptibility: current knowledge and implications for genetic counselling. 1909 72

Genome-wide association studies of breast cancer have identified multiple single nucleotide polymorphisms (SNPs) that are associated with increased breast cancer risks in the general population. In a previous study, we demonstrated that the minor alleles at three of these SNPs, in FGFR2, TNRC9 and MAP3K1, also confer increased risks of breast cancer for BRCA1 or BRCA2 mutation carriers. Three additional SNPs rs3817198 at LSP1, rs13387042 at 2q35 and rs13281615 at 8q24 have since been reported to be associated with breast cancer in the general population, and in this study we evaluated their association with breast cancer risk in 9442 BRCA1 and 5665 BRCA2 mutation carriers from 33 study centres. The minor allele of rs3817198 was associated with increased breast cancer risk only for BRCA2 mutation carriers [hazard ratio (HR) = 1.16, 95% CI: 1.07-1.25, P-trend = 2.8 x 10(-4)]. The best fit for the association of SNP rs13387042 at 2q35 with breast cancer risk was a dominant model for both BRCA1 and BRCA2 mutation carriers (BRCA1: HR = 1.14, 95% CI: 1.04-1.25, P = 0.0047; BRCA2: HR = 1.18 95% CI: 1.04-1.33, P = 0.0079). SNP rs13281615 at 8q24 was not associated with breast cancer for either BRCA1 or BRCA2 mutation carriers, but the estimated association for BRCA2 mutation carriers (per-allele HR = 1.06, 95% CI: 0.98-1.14) was consistent with odds ratio estimates derived from population-based case-control studies. The LSP1 and 2q35 SNPs appear to interact multiplicatively on breast cancer risk for BRCA2 mutation carriers. There was no evidence that the associations vary by mutation type depending on whether the mutated protein is predicted to be stable or not.
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PMID:Common variants in LSP1, 2q35 and 8q24 and breast cancer risk for BRCA1 and BRCA2 mutation carriers. 1965 74

To validate common low-risk variants predisposing for breast cancer (BC) in a large set of BRCA1/2 negative familial or genetically enriched cases from Germany, we genotyped 1,415 cases and 1,830 healthy women by MALDI-TOF in 105 candidate SNPs. Significantly higher ORs than previously reported for heterozygous unselected cases were found for the minor allele in FGFR2 (OR = 1.43, 95% CI 1.30-1.59, p-value = 1.24 x 10(-12)) and for TNRC9 (OR = 1.33, 95% CI 1.19-1.46, p-value = 1.54 x 10(-7)). Most intriguing, however, were the ORs for homozygous carriers from high-risk families for FGFR2 (OR = 2.05, 95% CI 1.68-2.51, LSP1 (OR = 0.49, 95% CI 0.28-0.86) and TNRC9 (OR = 1.62, 95% CI 1.27-2.07). Moreover, the additional validation of 99 CGEMS-SNPs identified putative novel susceptibility alleles within the LSP1 gene (OR = 0.73, 95% CI 0.61-0.87, p-value = 5.23 x 10(-4)). Finally, we provide evidence for the first time that a low-risk variant located at 6q22.33 (rs6569479) is associated with estrogen receptor negative BC in familial cases (OR = 1.33, 95% CI 1.06-1.66; p-value = 0.012). Our data confirm the impact of the previously identified susceptibility loci and provide preliminary evidence for novel susceptibility loci in familial BC cases and correlate them to specific histopathological subtypes defined by estrogen receptor status.
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PMID:Low-risk variants FGFR2, TNRC9 and LSP1 in German familial breast cancer patients. 1985 16

Breast cancer is a major contributor to overall morbidity and mortality in women. Several genes predisposing to breast cancer have been identified, but the majority of risk factors remain unknown. Even less is known about the inherited risk factors underlying canine mammary tumors (CMT). Clear breed predispositions exist, with 36% of English springer spaniels (ESS) in Sweden being affected. Here, we evaluate 10 human breast cancer genes (BRCA1, BRCA2, CHEK2, ERBB2, FGFR2, LSP1, MAP3K1, RCAS1, TOX3, and TP53) for association with CMTs. Sixty-three single-nucleotide polymorphisms (SNPs; four to nine SNPs per gene) were genotyped by iPLEX in female ESS dogs, 212 CMT cases and 143 controls. Two genes, BRCA1 and BRCA2, were significantly associated with CMT (Bonferroni corrected P = 0.005 and P = 0.0001, respectively). Borderline association was seen for FGFR2. Benign and malignant cases were also analyzed separately. Those findings supported the association to BRCA1 and BRCA2 but with a stronger association to BRCA1 in malignant cases. Both BRCA1 and BRCA2 showed odds ratios of approximately 4. In conclusion, this study indicates that BRCA1 and BRCA2 contribute to the risk of CMT in ESS, suggesting that dogs may serve as a good model for human breast cancer.
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PMID:Mammary tumor development in dogs is associated with BRCA1 and BRCA2. 1988 19

Our understanding of hereditary forms of breast cancer has made enormous advances over the past 15 years, based on epidemiological and molecular genetic studies, and the development of a vast number of informative genetic markers. These studies have involved women with both familial and sporadic forms of breast cancer. Genetic susceptibility to breast cancer can involve several modes of inheritance: Mendelian inheritance, mostly involving autosomal dominant mutations with high penetrance and a high risk of malignancy (the BRCA1, BRCA2, TP53, PTEN and STK11 genes); dominant mutations associated with a lower risk (ATM, BRIP1, PALB2, etc), and multigenic patterns involving common susceptibility variants, i.e., polymorphisms located within predisposing gene loci (FGFR2, TNRC9, MAP3K1, LSP1, etc.) or intergenic regions. Other predisposing factors remain to be discovered, as genetic factors associated with a high breast cancer risk (BRCA1, BRCA2, TP53, PTEN STK11, etc) are only found in about 20% of genetically screened breast cancer families. So far, only the first class of genes have found clinical applications, guiding the choice of medical or surgical treatment. More refined individual risk profiles will benefit from genome-wide polymorphic DNA variant studies anda better understanding of the impact of non genetic factors, such as the obstetrical and gynaecological history, and mutagen exposure.
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PMID:[Implications of genetic risk factors in breast cancer: culprit genes and associated malignancies]. 2069 Feb 7


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