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  • 1
    Publication Date: 2012-06-23
    Description: All cancers carry somatic mutations in their genomes. A subset, known as driver mutations, confer clonal selective advantage on cancer cells and are causally implicated in oncogenesis, and the remainder are passenger mutations. The driver mutations and mutational processes operative in breast cancer have not yet been comprehensively explored. Here we examine the genomes of 100 tumours for somatic copy number changes and mutations in the coding exons of protein-coding genes. The number of somatic mutations varied markedly between individual tumours. We found strong correlations between mutation number, age at which cancer was diagnosed and cancer histological grade, and observed multiple mutational signatures, including one present in about ten per cent of tumours characterized by numerous mutations of cytosine at TpC dinucleotides. Driver mutations were identified in several new cancer genes including AKT2, ARID1B, CASP8, CDKN1B, MAP3K1, MAP3K13, NCOR1, SMARCD1 and TBX3. Among the 100 tumours, we found driver mutations in at least 40 cancer genes and 73 different combinations of mutated cancer genes. The results highlight the substantial genetic diversity underlying this common disease.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3428862/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3428862/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Stephens, Philip J -- Tarpey, Patrick S -- Davies, Helen -- Van Loo, Peter -- Greenman, Chris -- Wedge, David C -- Nik-Zainal, Serena -- Martin, Sancha -- Varela, Ignacio -- Bignell, Graham R -- Yates, Lucy R -- Papaemmanuil, Elli -- Beare, David -- Butler, Adam -- Cheverton, Angela -- Gamble, John -- Hinton, Jonathan -- Jia, Mingming -- Jayakumar, Alagu -- Jones, David -- Latimer, Calli -- Lau, King Wai -- McLaren, Stuart -- McBride, David J -- Menzies, Andrew -- Mudie, Laura -- Raine, Keiran -- Rad, Roland -- Chapman, Michael Spencer -- Teague, Jon -- Easton, Douglas -- Langerod, Anita -- Oslo Breast Cancer Consortium (OSBREAC) -- Lee, Ming Ta Michael -- Shen, Chen-Yang -- Tee, Benita Tan Kiat -- Huimin, Bernice Wong -- Broeks, Annegien -- Vargas, Ana Cristina -- Turashvili, Gulisa -- Martens, John -- Fatima, Aquila -- Miron, Penelope -- Chin, Suet-Feung -- Thomas, Gilles -- Boyault, Sandrine -- Mariani, Odette -- Lakhani, Sunil R -- van de Vijver, Marc -- van 't Veer, Laura -- Foekens, John -- Desmedt, Christine -- Sotiriou, Christos -- Tutt, Andrew -- Caldas, Carlos -- Reis-Filho, Jorge S -- Aparicio, Samuel A J R -- Salomon, Anne Vincent -- Borresen-Dale, Anne-Lise -- Richardson, Andrea L -- Campbell, Peter J -- Futreal, P Andrew -- Stratton, Michael R -- 077012/Z/05/Z/Wellcome Trust/United Kingdom -- 088340/Wellcome Trust/United Kingdom -- 093867/Wellcome Trust/United Kingdom -- 10118/Cancer Research UK/United Kingdom -- CA089393/CA/NCI NIH HHS/ -- P30 CA016672/CA/NCI NIH HHS/ -- WT088340MA/Wellcome Trust/United Kingdom -- Cancer Research UK/United Kingdom -- Chief Scientist Office/United Kingdom -- Department of Health/United Kingdom -- England -- Nature. 2012 May 16;486(7403):400-4. doi: 10.1038/nature11017.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Cancer Genome Project, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton CB10 1SA, UK.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/22722201" target="_blank"〉PubMed〈/a〉
    Keywords: Age Factors ; Breast Neoplasms/classification/*genetics/pathology ; Cell Transformation, Neoplastic/*genetics ; Cytosine/metabolism ; DNA Mutational Analysis ; Female ; Humans ; JNK Mitogen-Activated Protein Kinases/metabolism ; Mutagenesis/*genetics ; Mutation/*genetics ; Neoplasm Grading ; Oncogenes/*genetics ; Reproducibility of Results ; Signal Transduction/genetics
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 2
    Publication Date: 2012-01-06
    Description: Oestrogen receptor-alpha (ER) is the defining and driving transcription factor in the majority of breast cancers and its target genes dictate cell growth and endocrine response, yet genomic understanding of ER function has been restricted to model systems. Here we map genome-wide ER-binding events, by chromatin immunoprecipitation followed by high-throughput sequencing (ChIP-seq), in primary breast cancers from patients with different clinical outcomes and in distant ER-positive metastases. We find that drug-resistant cancers still recruit ER to the chromatin, but that ER binding is a dynamic process, with the acquisition of unique ER-binding regions in tumours from patients that are likely to relapse. The acquired ER regulatory regions associated with poor clinical outcome observed in primary tumours reveal gene signatures that predict clinical outcome in ER-positive disease exclusively. We find that the differential ER-binding programme observed in tumours from patients with poor outcome is not due to the selection of a rare subpopulation of cells, but is due to the FOXA1-mediated reprogramming of ER binding on a rapid timescale. The parallel redistribution of ER and FOXA1 binding events in drug-resistant cellular contexts is supported by histological co-expression of ER and FOXA1 in metastatic samples. By establishing transcription-factor mapping in primary tumour material, we show that there is plasticity in ER-binding capacity, with distinct combinations of cis-regulatory elements linked with the different clinical outcomes.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3272464/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3272464/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Ross-Innes, Caryn S -- Stark, Rory -- Teschendorff, Andrew E -- Holmes, Kelly A -- Ali, H Raza -- Dunning, Mark J -- Brown, Gordon D -- Gojis, Ondrej -- Ellis, Ian O -- Green, Andrew R -- Ali, Simak -- Chin, Suet-Feung -- Palmieri, Carlo -- Caldas, Carlos -- Carroll, Jason S -- A10178/Cancer Research UK/United Kingdom -- Cancer Research UK/United Kingdom -- England -- Nature. 2012 Jan 4;481(7381):389-93. doi: 10.1038/nature10730.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Cancer Research UK, Cambridge Research Institute, Li Ka Shing Centre, Robinson Way, Cambridge CB2 0RE, UK.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/22217937" target="_blank"〉PubMed〈/a〉
    Keywords: Base Sequence ; Breast Neoplasms/*diagnosis/drug therapy/*genetics/pathology ; Cell Line, Tumor ; Drug Resistance, Neoplasm/drug effects/genetics ; Female ; *Gene Expression Regulation, Neoplastic/drug effects ; Hepatocyte Nuclear Factor 3-alpha/metabolism ; Humans ; Neoplasm Metastasis/genetics ; Prognosis ; Protein Binding ; Receptors, Estrogen/*metabolism ; Regulatory Sequences, Nucleic Acid/genetics ; Survival Analysis ; Tamoxifen/pharmacology/therapeutic use ; Treatment Outcome
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 3
    Publication Date: 2012-04-13
    Description: Primary triple-negative breast cancers (TNBCs), a tumour type defined by lack of oestrogen receptor, progesterone receptor and ERBB2 gene amplification, represent approximately 16% of all breast cancers. Here we show in 104 TNBC cases that at the time of diagnosis these cancers exhibit a wide and continuous spectrum of genomic evolution, with some having only a handful of coding somatic aberrations in a few pathways, whereas others contain hundreds of coding somatic mutations. High-throughput RNA sequencing (RNA-seq) revealed that only approximately 36% of mutations are expressed. Using deep re-sequencing measurements of allelic abundance for 2,414 somatic mutations, we determine for the first time-to our knowledge-in an epithelial tumour subtype, the relative abundance of clonal frequencies among cases representative of the population. We show that TNBCs vary widely in their clonal frequencies at the time of diagnosis, with the basal subtype of TNBC showing more variation than non-basal TNBC. Although p53 (also known as TP53), PIK3CA and PTEN somatic mutations seem to be clonally dominant compared to other genes, in some tumours their clonal frequencies are incompatible with founder status. Mutations in cytoskeletal, cell shape and motility proteins occurred at lower clonal frequencies, suggesting that they occurred later during tumour progression. Taken together, our results show that understanding the biology and therapeutic responses of patients with TNBC will require the determination of individual tumour clonal genotypes.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3863681/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3863681/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Shah, Sohrab P -- Roth, Andrew -- Goya, Rodrigo -- Oloumi, Arusha -- Ha, Gavin -- Zhao, Yongjun -- Turashvili, Gulisa -- Ding, Jiarui -- Tse, Kane -- Haffari, Gholamreza -- Bashashati, Ali -- Prentice, Leah M -- Khattra, Jaswinder -- Burleigh, Angela -- Yap, Damian -- Bernard, Virginie -- McPherson, Andrew -- Shumansky, Karey -- Crisan, Anamaria -- Giuliany, Ryan -- Heravi-Moussavi, Alireza -- Rosner, Jamie -- Lai, Daniel -- Birol, Inanc -- Varhol, Richard -- Tam, Angela -- Dhalla, Noreen -- Zeng, Thomas -- Ma, Kevin -- Chan, Simon K -- Griffith, Malachi -- Moradian, Annie -- Cheng, S-W Grace -- Morin, Gregg B -- Watson, Peter -- Gelmon, Karen -- Chia, Stephen -- Chin, Suet-Feung -- Curtis, Christina -- Rueda, Oscar M -- Pharoah, Paul D -- Damaraju, Sambasivarao -- Mackey, John -- Hoon, Kelly -- Harkins, Timothy -- Tadigotla, Vasisht -- Sigaroudinia, Mahvash -- Gascard, Philippe -- Tlsty, Thea -- Costello, Joseph F -- Meyer, Irmtraud M -- Eaves, Connie J -- Wasserman, Wyeth W -- Jones, Steven -- Huntsman, David -- Hirst, Martin -- Caldas, Carlos -- Marra, Marco A -- Aparicio, Samuel -- 5U01ES017154-02/ES/NIEHS NIH HHS/ -- R01 GM084875/GM/NIGMS NIH HHS/ -- R01GM084875/GM/NIGMS NIH HHS/ -- Cancer Research UK/United Kingdom -- England -- Nature. 2012 Apr 4;486(7403):395-9. doi: 10.1038/nature10933.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia V6T 2B5, Canada. sshah@bccrc.ca〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/22495314" target="_blank"〉PubMed〈/a〉
    Keywords: Alleles ; Breast Neoplasms/diagnosis/*genetics/*pathology ; Clone Cells/metabolism/pathology ; DNA Copy Number Variations/genetics ; DNA Mutational Analysis ; Disease Progression ; *Evolution, Molecular ; Female ; Gene Expression Profiling ; Gene Expression Regulation, Neoplastic/genetics ; Genotype ; High-Throughput Nucleotide Sequencing ; Humans ; INDEL Mutation/genetics ; Mutation/*genetics ; Point Mutation/genetics ; Precision Medicine ; Reproducibility of Results ; Sequence Analysis, RNA
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 4
    Publication Date: 2013-04-09
    Description: Cancers acquire resistance to systemic treatment as a result of clonal evolution and selection. Repeat biopsies to study genomic evolution as a result of therapy are difficult, invasive and may be confounded by intra-tumour heterogeneity. Recent studies have shown that genomic alterations in solid cancers can be characterized by massively parallel sequencing of circulating cell-free tumour DNA released from cancer cells into plasma, representing a non-invasive liquid biopsy. Here we report sequencing of cancer exomes in serial plasma samples to track genomic evolution of metastatic cancers in response to therapy. Six patients with advanced breast, ovarian and lung cancers were followed over 1-2 years. For each case, exome sequencing was performed on 2-5 plasma samples (19 in total) spanning multiple courses of treatment, at selected time points when the allele fraction of tumour mutations in plasma was high, allowing improved sensitivity. For two cases, synchronous biopsies were also analysed, confirming genome-wide representation of the tumour genome in plasma. Quantification of allele fractions in plasma identified increased representation of mutant alleles in association with emergence of therapy resistance. These included an activating mutation in PIK3CA (phosphatidylinositol-4,5-bisphosphate 3-kinase, catalytic subunit alpha) following treatment with paclitaxel; a truncating mutation in RB1 (retinoblastoma 1) following treatment with cisplatin; a truncating mutation in MED1 (mediator complex subunit 1) following treatment with tamoxifen and trastuzumab, and following subsequent treatment with lapatinib, a splicing mutation in GAS6 (growth arrest-specific 6) in the same patient; and a resistance-conferring mutation in EGFR (epidermal growth factor receptor; T790M) following treatment with gefitinib. These results establish proof of principle that exome-wide analysis of circulating tumour DNA could complement current invasive biopsy approaches to identify mutations associated with acquired drug resistance in advanced cancers. Serial analysis of cancer genomes in plasma constitutes a new paradigm for the study of clonal evolution in human cancers.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Murtaza, Muhammed -- Dawson, Sarah-Jane -- Tsui, Dana W Y -- Gale, Davina -- Forshew, Tim -- Piskorz, Anna M -- Parkinson, Christine -- Chin, Suet-Feung -- Kingsbury, Zoya -- Wong, Alvin S C -- Marass, Francesco -- Humphray, Sean -- Hadfield, James -- Bentley, David -- Chin, Tan Min -- Brenton, James D -- Caldas, Carlos -- Rosenfeld, Nitzan -- Cancer Research UK/United Kingdom -- England -- Nature. 2013 May 2;497(7447):108-12. doi: 10.1038/nature12065. Epub 2013 Apr 7.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Cancer Research UK Cambridge Institute and University of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge CB2 0RE, UK.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/23563269" target="_blank"〉PubMed〈/a〉
    Keywords: Alleles ; Antineoplastic Agents/pharmacology/*therapeutic use ; Breast Neoplasms/drug therapy/genetics/pathology ; Carcinoma, Non-Small-Cell Lung/drug therapy/genetics/pathology ; DNA Mutational Analysis ; DNA, Neoplasm/*analysis/*genetics ; Drug Resistance, Neoplasm/drug effects/*genetics ; Evolution, Molecular ; Exome/genetics ; Female ; Genome, Human/genetics ; Genomics ; Humans ; Intercellular Signaling Peptides and Proteins/genetics ; Lung Neoplasms/drug therapy/genetics/pathology ; Mediator Complex Subunit 1/genetics ; Neoplasms/*drug therapy/*genetics/pathology ; Ovarian Neoplasms/drug therapy/genetics/pathology ; Phosphatidylinositol 3-Kinases/genetics ; Plasma/*chemistry ; Receptor, Epidermal Growth Factor/genetics ; Retinoblastoma Protein/genetics
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 5
    Publication Date: 2013-05-07
    Description: MicroRNAs (miRNAs) show differential expression across breast cancer subtypes, and have both oncogenic and tumour-suppressive roles. Here we report the miRNA expression profiles of 1,302 breast tumours with matching detailed clinical annotation, long-term follow-up and genomic and messenger RNA expression data. This provides a comprehensive overview of the quantity, distribution and variation of the miRNA population and provides information on the extent to which genomic, transcriptional and post-transcriptional events contribute to miRNA expression architecture, suggesting an important role for post-transcriptional regulation. The key clinical parameters and cellular pathways related to the miRNA landscape are characterized, revealing context-dependent interactions, for example with regards to cell adhesion and Wnt signalling. Notably, only prognostic miRNA signatures derived from breast tumours devoid of somatic copy-number aberrations (CNA-devoid) are consistently prognostic across several other subtypes and can be validated in external cohorts. We then use a data-driven approach to seek the effects of miRNAs associated with differential co-expression of mRNAs, and find that miRNAs act as modulators of mRNA-mRNA interactions rather than as on-off molecular switches. We demonstrate such an important modulatory role for miRNAs in the biology of CNA-devoid breast cancers, a common subtype in which the immune response is prominent. These findings represent a new framework for studying the biology of miRNAs in human breast cancer.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Dvinge, Heidi -- Git, Anna -- Graf, Stefan -- Salmon-Divon, Mali -- Curtis, Christina -- Sottoriva, Andrea -- Zhao, Yongjun -- Hirst, Martin -- Armisen, Javier -- Miska, Eric A -- Chin, Suet-Feung -- Provenzano, Elena -- Turashvili, Gulisa -- Green, Andrew -- Ellis, Ian -- Aparicio, Sam -- Caldas, Carlos -- 11832/Cancer Research UK/United Kingdom -- Cancer Research UK/United Kingdom -- England -- Nature. 2013 May 16;497(7449):378-82. doi: 10.1038/nature12108. Epub 2013 May 5.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Cancer Research UK Cambridge Institute and Department of Oncology, University of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge CB2 0RE, UK.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/23644459" target="_blank"〉PubMed〈/a〉
    Keywords: Algorithms ; Breast Neoplasms/*genetics/pathology ; DNA Copy Number Variations ; Female ; Follow-Up Studies ; Gene Expression Profiling ; *Gene Expression Regulation, Neoplastic ; Genome, Human/genetics ; Humans ; Kaplan-Meier Estimate ; MicroRNAs/*genetics/metabolism ; Prognosis ; Proportional Hazards Models ; RNA, Messenger/genetics/metabolism ; RNA, Neoplasm/genetics/metabolism
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 6
    Publication Date: 2012-04-24
    Description: The elucidation of breast cancer subgroups and their molecular drivers requires integrated views of the genome and transcriptome from representative numbers of patients. We present an integrated analysis of copy number and gene expression in a discovery and validation set of 997 and 995 primary breast tumours, respectively, with long-term clinical follow-up. Inherited variants (copy number variants and single nucleotide polymorphisms) and acquired somatic copy number aberrations (CNAs) were associated with expression in ~40% of genes, with the landscape dominated by cis- and trans-acting CNAs. By delineating expression outlier genes driven in cis by CNAs, we identified putative cancer genes, including deletions in PPP2R2A, MTAP and MAP2K4. Unsupervised analysis of paired DNA-RNA profiles revealed novel subgroups with distinct clinical outcomes, which reproduced in the validation cohort. These include a high-risk, oestrogen-receptor-positive 11q13/14 cis-acting subgroup and a favourable prognosis subgroup devoid of CNAs. Trans-acting aberration hotspots were found to modulate subgroup-specific gene networks, including a TCR deletion-mediated adaptive immune response in the 'CNA-devoid' subgroup and a basal-specific chromosome 5 deletion-associated mitotic network. Our results provide a novel molecular stratification of the breast cancer population, derived from the impact of somatic CNAs on the transcriptome.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3440846/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3440846/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Curtis, Christina -- Shah, Sohrab P -- Chin, Suet-Feung -- Turashvili, Gulisa -- Rueda, Oscar M -- Dunning, Mark J -- Speed, Doug -- Lynch, Andy G -- Samarajiwa, Shamith -- Yuan, Yinyin -- Graf, Stefan -- Ha, Gavin -- Haffari, Gholamreza -- Bashashati, Ali -- Russell, Roslin -- McKinney, Steven -- METABRIC Group -- Langerod, Anita -- Green, Andrew -- Provenzano, Elena -- Wishart, Gordon -- Pinder, Sarah -- Watson, Peter -- Markowetz, Florian -- Murphy, Leigh -- Ellis, Ian -- Purushotham, Arnie -- Borresen-Dale, Anne-Lise -- Brenton, James D -- Tavare, Simon -- Caldas, Carlos -- Aparicio, Samuel -- A7199/Cancer Research UK/United Kingdom -- P50HG02790/HG/NHGRI NIH HHS/ -- Cancer Research UK/United Kingdom -- England -- Nature. 2012 Apr 18;486(7403):346-52. doi: 10.1038/nature10983.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Oncology, University of Cambridge, Hills Road, Cambridge CB2 2XZ, UK.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/22522925" target="_blank"〉PubMed〈/a〉
    Keywords: Breast Neoplasms/classification/diagnosis/*genetics/*pathology ; DNA Copy Number Variations/*genetics ; Female ; *Gene Expression Profiling ; *Gene Expression Regulation, Neoplastic ; Gene Regulatory Networks/genetics ; Genes, Neoplasm/genetics ; Genome, Human/*genetics ; Genomics ; Humans ; Kaplan-Meier Estimate ; MAP Kinase Kinase 4/genetics ; Polymorphism, Single Nucleotide/genetics ; Prognosis ; Protein Phosphatase 2/genetics ; Treatment Outcome
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 7
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