9 results on '"Lopez-Knowles, Elena"'
Search Results
2. Relationship between ER expression by IHC or mRNA with Ki67 response to aromatase inhibition: a POETIC study
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Lopez-Knowles, Elena, Detre, Simone, Hills, Margaret, Schuster, Eugene F., Cheang, Maggie C. U., Tovey, Holly, Kilburn, Lucy S., Bliss, Judith M., Robertson, John, Mallon, Elizabeth, Skene, Anthony, Evans, Abigail, Smith, Ian, and Dowsett, Mitch
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- 2022
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3. Breast cancer risk variants at 6q25 display different phenotype associations and regulate ESR1, RMND1 and CCDC170.
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Dunning, Alison M, Michailidou, Kyriaki, Kuchenbaecker, Karoline B, Thompson, Deborah, French, Juliet D, Beesley, Jonathan, Healey, Catherine S, Kar, Siddhartha, Pooley, Karen A, Lopez-Knowles, Elena, Dicks, Ed, Barrowdale, Daniel, Sinnott-Armstrong, Nicholas A, Sallari, Richard C, Hillman, Kristine M, Kaufmann, Susanne, Sivakumaran, Haran, Moradi Marjaneh, Mahdi, Lee, Jason S, Hills, Margaret, Jarosz, Monika, Drury, Suzie, Canisius, Sander, Bolla, Manjeet K, Dennis, Joe, Wang, Qin, Hopper, John L, Southey, Melissa C, Broeks, Annegien, Schmidt, Marjanka K, Lophatananon, Artitaya, Muir, Kenneth, Beckmann, Matthias W, Fasching, Peter A, Dos-Santos-Silva, Isabel, Peto, Julian, Sawyer, Elinor J, Tomlinson, Ian, Burwinkel, Barbara, Marme, Frederik, Guénel, Pascal, Truong, Thérèse, Bojesen, Stig E, Flyger, Henrik, González-Neira, Anna, Perez, Jose IA, Anton-Culver, Hoda, Eunjung, Lee, Arndt, Volker, Brenner, Hermann, Meindl, Alfons, Schmutzler, Rita K, Brauch, Hiltrud, Hamann, Ute, Aittomäki, Kristiina, Blomqvist, Carl, Ito, Hidemi, Matsuo, Keitaro, Bogdanova, Natasha, Dörk, Thilo, Lindblom, Annika, Margolin, Sara, Kosma, Veli-Matti, Mannermaa, Arto, Tseng, Chiu-Chen, Wu, Anna H, Lambrechts, Diether, Wildiers, Hans, Chang-Claude, Jenny, Rudolph, Anja, Peterlongo, Paolo, Radice, Paolo, Olson, Janet E, Giles, Graham G, Milne, Roger L, Haiman, Christopher A, Henderson, Brian E, Goldberg, Mark S, Teo, Soo H, Yip, Cheng Har, Nord, Silje, Borresen-Dale, Anne-Lise, Kristensen, Vessela, Long, Jirong, Zheng, Wei, Pylkäs, Katri, Winqvist, Robert, Andrulis, Irene L, Knight, Julia A, Devilee, Peter, Seynaeve, Caroline, Figueroa, Jonine, Sherman, Mark E, Czene, Kamila, Darabi, Hatef, Hollestelle, Antoinette, van den Ouweland, Ans MW, Humphreys, Keith, Gao, Yu-Tang, and Shu, Xiao-Ou
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EMBRACE ,GEMO Study Collaborators ,HEBON ,kConFab Investigators ,Chromosomes ,Human ,Pair 6 ,Humans ,Breast Neoplasms ,Genetic Predisposition to Disease ,Carrier Proteins ,Cell Cycle Proteins ,Estrogen Receptor alpha ,Risk Factors ,Gene Expression ,Gene Expression Regulation ,Neoplastic ,Base Sequence ,Protein Binding ,Phenotype ,Polymorphism ,Single Nucleotide ,Female ,Genetic Association Studies ,Cancer ,Clinical Research ,Breast Cancer ,Genetics ,Aetiology ,2.1 Biological and endogenous factors ,Biological Sciences ,Medical and Health Sciences ,Developmental Biology - Abstract
We analyzed 3,872 common genetic variants across the ESR1 locus (encoding estrogen receptor α) in 118,816 subjects from three international consortia. We found evidence for at least five independent causal variants, each associated with different phenotype sets, including estrogen receptor (ER(+) or ER(-)) and human ERBB2 (HER2(+) or HER2(-)) tumor subtypes, mammographic density and tumor grade. The best candidate causal variants for ER(-) tumors lie in four separate enhancer elements, and their risk alleles reduce expression of ESR1, RMND1 and CCDC170, whereas the risk alleles of the strongest candidates for the remaining independent causal variant disrupt a silencer element and putatively increase ESR1 and RMND1 expression.
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- 2016
4. Molecular profiling of aromatase inhibitor sensitive and resistant ER+HER2- postmenopausal breast cancers.
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Schuster, Eugene F., Lopez-Knowles, Elena, Alataki, Anastasia, Zabaglo, Lila, Folkerd, Elizabeth, Evans, David, Sidhu, Kally, Cheang, Maggie Chon U., Tovey, Holly, Salto-Tellez, Manuel, Maxwell, Perry, Robertson, John, Smith, Ian, Bliss, Judith M., and Dowsett, Mitch
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AROMATASE inhibitors ,BREAST cancer ,TUMOR-infiltrating immune cells ,BIOMARKERS ,BREAST ,ESTRADIOL - Abstract
Aromatase inhibitors (AIs) reduce recurrences and mortality in postmenopausal patients with oestrogen receptor positive (ER+) breast cancer (BC), but >20% of patients will eventually relapse. Given the limited understanding of intrinsic resistance in these tumours, here we conduct a large-scale molecular analysis to identify features that impact on the response of ER + HER2- BC to AI. We compare the 15% of poorest responders (PRs, n = 177) as measured by proportional Ki67 changes after 2 weeks of neoadjuvant AI to good responders (GRs, n = 190) selected from the top 50% responders in the POETIC trial and matched for baseline Ki67 categories. In this work, low ESR1 levels are associated with poor response, high proliferation, high expression of growth factor pathways and non-luminal subtypes. PRs having high ESR1 expression have similar proportions of luminal subtypes to GRs but lower plasma estradiol levels, lower expression of estrogen response genes, higher levels of tumor infiltrating lymphocytes and immune markers, and more TP53 mutations. Aromatase inhibitors are an effective treatment for ER+ breast cancer, but response is variable. Here, the authors undertake molecular analyse of response from the POETIC trial and identify several factors associated with response. [ABSTRACT FROM AUTHOR]
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- 2023
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5. Inositol polyphosphate 4-phosphatase II regulates PI3K/Akt signaling and is lost in human basal-like breast cancers
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Fedele, Clare G., Ooms, Lisa M., Ho, Miriel, Vieusseux, Jessica, O'Toole, Sandra A., Millar, Ewan K., Lopez-Knowles, Elena, Sriratana, Absorn, Gurung, Rajendra, Baglietto, Laura, Giles, Graham G., Bailey, Charles G., Rasko, John E. J., Shields, Benjamin J., Price, John T., Majerus, Philip W., Sutherland, Robert L., Tiganis, Tony, McLean, Catriona A., and Mitchell, Christina A.
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- 2010
6. Impact of a panel of 88 single nucleotide polymorphisms on the risk of breast cancer in high-risk women:Results from two randomized tamoxifen prevention trials
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Cuzick, Jack, Brentnall, Adam R., Segal, Corrinne, Byers, Helen, Reuter, Caroline, Detre, Simone, Lopez-Knowles, Elena, Sestak, Ivana, Howell, Anthony, Powles, Trevor J., Newman, William G., and Dowsett, Mitchell
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Tamoxifen ,Manchester Cancer Research Centre ,ResearchInstitutes_Networks_Beacons/mcrc ,Breast Cancer ,Humans ,Breast Neoplasms ,Female ,ORIGINAL REPORTS ,Breast ,Polymorphism, Single Nucleotide ,Risk Assessment - Abstract
Purpose At least 94 common single nucleotide polymorphisms (SNPs) are associated with breast cancer. The extent to which an SNP panel can refine risk in women who receive preventive therapy has not been directly assessed previously. Materials and Methods A risk score on the basis of 88 SNPs (SNP88) was investigated in a nested case-control study of women enrolled in the International Breast Intervention Study (IBIS-I) or the Royal Marsden study. A total of 359 women who developed cancer were matched to 636 controls by age, trial, follow-up time, and treatment arm. Genotyping was done using the OncoArray. Conditional logistic regression and matched concordance indices (mC) were used to measure the performance of SNP88 alone and with other breast cancer risk factors assessed using the Tyrer-Cuzick (TC) model. Results SNP88 was predictive of breast cancer risk overall (interquartile range odds ratio [IQ-OR], 1.37; 95% CI, 1.14 to 1.66; mC, 0.55), but mainly for estrogen receptor-positive disease (IQ-OR, 1.44; 95% CI, 1.16 to 1.79; P for heterogeneity = .10) versus estrogen receptor-negative disease. However, the observed risk of SNP88 was only 46% (95% CI, 19% to 74%) of expected. No significant interaction was observed with treatment arm (placebo IQ-OR, 1.46; 95% CI, 1.13 to 1.87; tamoxifen IQ-OR, 1.25; 95% CI, 0.96 to 1.64; P for heterogeneity = .5). The predictive power was similar to the TC model (IQ-OR, 1.45; 95% CI, 1.21 to 1.73; mC, 0.55), but SNP88 was independent of TC (Spearman rank-order correlation, 0.012; P = .7), and when combined multiplicatively, a substantial improvement was seen (IQ-OR, 1.64; 95% CI, 1.36 to 1.97; mC, 0.60). Conclusion A polygenic risk score may be used to refine risk from the TC or similar models in women who are at an elevated risk of breast cancer and considering preventive therapy. Recalibration may be necessary for accurate risk assessment.
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- 2017
7. Analysis of ESR1 mutation in circulating tumor DNA demonstrates evolution during therapy for metastatic breast cancer.
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Schiavon, Gaia, Hrebien, Sarah, Garcia-Murillas, Isaac, Cutts, Rosalind J., Pearson, Alex, Tarazona, Noelia, Fenwick, Kerry, Iwanka Kozarewa, Lopez-Knowles, Elena, Ribas, Ricardo, Nerurkar, Ashutosh, Osin, Peter, Chandarlapaty, Sarat, Martin, Lesley-Ann, Dowsett, Mitch, Smith, Ian E., and Turner, Nicholas C.
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ESTROGEN receptors ,CIRCULATING tumor DNA ,BREAST cancer ,METASTASIS ,AROMATASE inhibitors ,POLYMERASE chain reaction ,ADJUVANT treatment of cancer - Abstract
Acquired ESR1 mutations are a major mechanism of resistance to aromatase inhibitors (AIs). We developed ultra high-sensitivity multiplex digital polymerase chain reaction assays for ESR1 mutations in circulating tumor DNA (ctDNA) and investigated the clinical relevance and origin of ESR1 mutations in 171 women with advanced breast cancer. ESR1 mutation status in ctDNA showed high concordance with contemporaneous tumor biopsies and was accurately assessed in samples shipped at room temperature in preservative tubes. ESR1 mutations were found exclusively in estrogen receptor-positive breast cancer patients previously exposed to AI. Patients with ESR1 mutations had a substantially shorter progression-free survival on subsequent AI-based therapy [hazard ratio, 3.1; 95% confidence interval (CI), 1.9 to 23.1; P = 0.0041]. ESR1 mutation prevalence differed markedly between patients who were first exposed to AI during the adjuvant and metastatic settings [5.8% (3 of 52) versus 36.4% (16 of 44), respectively; P = 0.0002]. In an independent cohort, ESR1 mutations were identified in 0% (0 of 32; 95% CI, 0 to 10.9) tumor biopsies taken after progression on adjuvant AI. In a patient with serial sampling, ESR1 mutation was selected during metastatic AI therapy to become the dominant clone in the cancer. ESR1 mutations can be robustly identified with ctDNA analysis and predict for resistance to subsequent AI therapy. ESR1 mutations are rarely acquired during adjuvant AI but are commonly selected by therapy for metastatic disease, providing evidence that mechanisms of resistance to targeted therapy may be substantially different between the treatment of micrometastatic and overt metastatic cancer. [ABSTRACT FROM AUTHOR]
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- 2015
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8. High Notch1 protein expression is an early event in breast cancer development and is associated with the HER-2 molecular subtype.
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Zardawi, Sarah J., Zardawi, Ibrahim, McNeil, Catriona M., Millar, Ewan K. A., McLeod, Duncan, Morey, Adrienne L., Crea, Paul, Murphy, Niamh C., Pinese, Mark, Lopez-Knowles, Elena, Oakes, Samantha R., Ormandy, Christopher J., Min Ru Qiu, Hamilton, Anne, Spillane, Andrew, Cheok Soon Lee, Sutherland, Robert L., Musgrove, Elizabeth A., and O'Toole, Sandra A.
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BREAST cancer ,NOTCH proteins ,HYPERPLASIA ,CARCINOGENESIS ,EPITHELIUM ,PRECANCEROUS conditions - Abstract
Zardawi S J, Zardawi I, McNeil C M, Millar E K A, McLeod D, Morey A L, Crea P, Murphy N C, Pinese M, Lopez-Knowles E, Oakes S R, Ormandy C J, Qiu M R, Hamilton A, Spillane A, Soon Lee C, Sutherland R L, Musgrove E A & O’Toole S A (2010) Histopathology 56, 286–296 High Notch1 protein expression is an early event in breast cancer development and is associated with the HER-2 molecular subtype Aims: Activation of Notch signalling results in hyperplasia and tumorigenesis in murine mammary epithelium. However, there is little information regarding the expression of Notch1 in premalignant lesions and early breast cancer. We investigated expression of Notch1 in breast cancer development and its association with molecular subtypes. Methods and results: Immunohistochemical expression of Notch1 was determined in a murine model of mammary carcinogenesis and in breast tissue from two cohorts of breast cancer patients, the first ( n = 222) comprising a histological progression series and the second an outcome series of 228 patients with operable invasive ductal carcinoma. Enhanced expression of Notch1 protein was an early event in both murine and human breast cancer development with progressive increases in expression with the development of hyperplasia and malignancy. High Notch1 was not prognostic in the outcome cohort. There was, however, a highly significant association of high Notch1 protein with the HER-2 molecular subtype of breast cancer ( P = 0.008). Conclusions: These data demonstrate that aberrant Notch regulation is an early event in mammary carcinogenesis and is associated with the HER-2 molecular subtype of breast cancer, and suggest the Notch signalling pathway may be a potential therapeutic target worthy of further investigation. [ABSTRACT FROM AUTHOR]
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- 2010
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9. β-Catenin Signaling Is a Critical Event in ErbB2-Mediated Mammary Tumor Progression.
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Schade, Babette, Lesurf, Robert, Sanguin-Gendreau, Virginie, Tung Bui, Deblois, Geneviève, O'Toole, Sandra A., Millar, Ewan K. A., Zardawi, Sara J., Lopez-Knowles, Elena, Sutherland, Robert L., Giguère, Vincent, Kahn, Michael, Hallett, Michael, and Muller, William J.
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BREAST cancer , *CANCER invasiveness , *CANCER cells , *METASTASIS , *GENETIC transcription , *CATENINS - Abstract
Although ERBB2 amplification and overexpression is correlated with poor outcome in breast cancer, the molecular mechanisms underlying the aggressive nature of these tumors has not been fully elucidated. To investigate this further, we have used a transgenic mouse model of ErbB2-driven tumor progression (ErbB2KI model) that recapitulates clinically relevant events, including selective amplification of the core erbB2 amplicon. By comparing the transcriptional profiles of ErbB2KI mammary tumors and human ERBB2-positive breast cancers, we show that ErbB2KI tumors possess molecular features of the basal subtype of ERBB2-positive human breast cancer, including activation of canonical b-catenin signaling. Inhibition of b-catenin-dependent signaling in ErbB2KI-derived tumor cells using RNA interference impaired tumor initiation and metastasis. Furthermore, treatment of ErbB2KI or human ERBB2-overexpressing tumor cells with a selective b-catenin/CBP inhibitor significantly decreased proliferation and ErbB2 expression. Collectively, our data indicate that ERBB2-mediated breast cancer progression requires b-catenin signaling and can be therapeutically targeted by selective b-catenin/CBP inhibitors. [ABSTRACT FROM AUTHOR]
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- 2013
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