7 results on '"Anita Grigoriadis"'
Search Results
2. Robust BRCA1‐like classification of copy number profiles of samples repeated across different datasets and platforms
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Philip C. Schouten, Anita Grigoriadis, Thomas Kuilman, Hasan Mirza, Johnathan A. Watkins, Saskia A. Cooke, Ewald van Dyk, Tesa M. Severson, Oscar M. Rueda, Marlous Hoogstraat, Caroline V.M. Verhagen, Rachael Natrajan, Suet-Feung Chin, Esther H. Lips, Janneke Kruizinga, Arno Velds, Marja Nieuwland, Ron M. Kerkhoven, Oscar Krijgsman, Conchita Vens, Daniel Peeper, Petra M. Nederlof, Carlos Caldas, Andrew N. Tutt, Lodewyk F. Wessels, and Sabine C. Linn
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BRCA1 ,Breast cancer ,Classification ,Copy number aberration profiles ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Breast cancers with BRCA1 germline mutation have a characteristic DNA copy number (CN) pattern. We developed a test that assigns CN profiles to be ‘BRCA1‐like’ or ‘non‐BRCA1‐like’, which refers to resembling a BRCA1‐mutated tumor or resembling a tumor without a BRCA1 mutation, respectively. Approximately one third of the BRCA1‐like breast cancers have a BRCA1 mutation, one third has hypermethylation of the BRCA1 promoter and one third has an unknown reason for being BRCA1‐like. This classification is indicative of patients' response to high dose alkylating and platinum containing chemotherapy regimens, which targets the inability of BRCA1 deficient cells to repair DNA double strand breaks. We investigated whether this classification can be reliably obtained with next generation sequencing and copy number platforms other than the bacterial artificial chromosome (BAC) array Comparative Genomic Hybridization (aCGH) on which it was originally developed. We investigated samples from 230 breast cancer patients for which a CN profile had been generated on two to five platforms, comprising low coverage CN sequencing, CN extraction from targeted sequencing panels (CopywriteR), Affymetrix SNP6.0, 135K/720K oligonucleotide aCGH, Affymetrix Oncoscan FFPE (MIP) technology, 3K BAC and 32K BAC aCGH. Pairwise comparison of genomic position‐mapped profiles from the original aCGH platform and other platforms revealed concordance. For most cases, biological differences between samples exceeded the differences between platforms within one sample. We observed the same classification across different platforms in over 80% of the patients and kappa values of at least 0.36. Differential classification could be attributed to CN profiles that were not strongly associated to one class. In conclusion, we have shown that the genomic regions that define our BRCA1‐like classifier are robustly measured by different CN profiling technologies, providing the possibility to retro‐ and prospectively investigate BRCA1‐like classification across a wide range of CN platforms.
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- 2015
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3. Multiscale deep learning framework captures systemic immune features in lymph nodes predictive of triple negative breast cancer outcome in large‐scale studies
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Gregory Verghese, Mengyuan Li, Fangfang Liu, Amit Lohan, Nikhil Cherian Kurian, Swati Meena, Patrycja Gazinska, Aekta Shah, Aasiyah Oozeer, Terry Chan, Mark Opdam, Sabine Linn, Cheryl Gillett, Elena Alberts, Thomas Hardiman, Samantha Jones, Selvam Thavaraj, J Louise Jones, Roberto Salgado, Sarah E Pinder, Swapnil Rane, Amit Sethi, and Anita Grigoriadis
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Pathology and Forensic Medicine - Published
- 2023
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4. Review for 'Gene expression profiles of breast cancer metastasis according to organ site'
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Anita Grigoriadis
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business.industry ,Gene expression ,Cancer research ,Medicine ,Breast cancer metastasis ,business - Published
- 2021
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5. A whole-genome massively parallel sequencing analysis of BRCA1 mutant oestrogen receptor-negative and -positive breast cancers
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Adriana C. Flora, Richard Marais, Dominique Stoppa-Lyonnet, Roger A'Hern, Alan Mackay, Iwanka Kozarewa, Vidya Pawar, Alan Ashworth, Christopher J. Lord, Odette Mariani, Petra van der Groep, Marc-Henri Stern, Andrew R. Green, Simon J. Furney, William D. Foulkes, Rachael Natrajan, Jason S. Carroll, Simon S. McDade, Elodie Manié, Patty Wai, Maryou B. Lambros, Charles Swanton, Paul J. van Diest, Anne Vincent-Salomon, Britta Weigelt, Jorge S. Reis-Filho, Ian O. Ellis, Tatiana Popova, Samra Turajlic, Anita Grigoriadis, Olivier Delattre, Daniel Nava Rodruigues, and Paul M. Wilkerson
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endocrine system diseases ,DNA repair ,DNA Mutational Analysis ,Vesicular Transport Proteins ,Loss of Heterozygosity ,Breast Neoplasms ,Biology ,medicine.disease_cause ,Article ,Germline ,Pathology and Forensic Medicine ,Loss of heterozygosity ,Germline mutation ,Breast cancer ,medicine ,Humans ,Allele ,skin and connective tissue diseases ,Germ-Line Mutation ,Genetics ,Mutation ,Massive parallel sequencing ,BRCA1 Protein ,Carcinoma, Ductal, Breast ,DNA, Neoplasm ,Genomics ,Middle Aged ,medicine.disease ,DNA Repair-Deficiency Disorders ,GATA4 Transcription Factor ,Death-Associated Protein Kinases ,Receptors, Estrogen ,Calcium-Calmodulin-Dependent Protein Kinases ,Female ,Tumor Suppressor Protein p53 ,Apoptosis Regulatory Proteins - Abstract
BRCA1 encodes a tumour suppressor protein that plays pivotal roles in homologous recombination (HR) DNA repair, cell-cycle checkpoints, and transcriptional regulation. BRCA1 germline mutations confer a high risk of early-onset breast and ovarian cancer. In more than 80% of cases, tumours arising in BRCA1 germline mutation carriers are oestrogen receptor (ER)-negative; however, up to 15% are ER-positive. It has been suggested that BRCA1 ER-positive breast cancers constitute sporadic cancers arising in the context of a BRCA1 germline mutation rather than being causally related to BRCA1 loss-of-function. Whole-genome massively parallel sequencing of ER-positive and ER-negative BRCA1 breast cancers, and their respective germline DNAs, was used to characterize the genetic landscape of BRCA1 cancers at base-pair resolution. Only BRCA1 germline mutations, somatic loss of the wild-type allele, and TP53 somatic mutations were recurrently found in the index cases. BRCA1 breast cancers displayed a mutational signature consistent with that caused by lack of HR DNA repair in both ER-positive and ER-negative cases. Sequencing analysis of independent cohorts of hereditary BRCA1 and sporadic non-BRCA1 breast cancers for the presence of recurrent pathogenic mutations and/or homozygous deletions found in the index cases revealed that DAPK3, TMEM135, KIAA1797, PDE4D, and GATA4 are potential additional drivers of breast cancers. This study demonstrates that BRCA1 pathogenic germline mutations coupled with somatic loss of the wild-type allele are not sufficient for hereditary breast cancers to display an ER-negative phenotype, and has led to the identification of three potential novel breast cancer genes (ie DAPK3, TMEM135, and GATA4).
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- 2012
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6. IDH1 and IDH2 mutations are frequent events in central chondrosarcoma and central and periosteal chondromas but not in other mesenchymal tumours
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Krisztian Bacsi, Paul O'Donnell, Adrienne M. Flanagan, Francesca Maggiani, Anita Grigoriadis, Pancras C.W. Hogendoorn, Fitim Berisha, Stephen Damato, M Fernanda Amary, Andrew Futreal, Roberto Tirabosco, Robin Pollock, Dina Halai, Nadege Presneau, Malihe Eskandarpour, and Tim C. Diss
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Pathology ,medicine.medical_specialty ,Mutation ,IDH1 ,Somatic cell ,Biology ,medicine.disease ,medicine.disease_cause ,IDH2 ,Pathology and Forensic Medicine ,Germline mutation ,Maffucci syndrome ,Cancer research ,medicine ,Chondrosarcoma ,Ollier disease - Abstract
Somatic mutations in isocitrate dehydrogenase 1 (IDH1) and IDH2 occur in gliomas and acute myeloid leukaemia (AML). Since patients with multiple enchondromas have occasionally been reported to have these conditions, we hypothesized that the same mutations would occur in cartilaginous neoplasms. Approximately 1200 mesenchymal tumours, including 220 cartilaginous tumours, 222 osteosarcomas and another ∼750 bone and soft tissue tumours, were screened for IDH1 R132 mutations, using Sequenom(®) mass spectrometry. Cartilaginous tumours and chondroblastic osteosarcomas, wild-type for IDH1 R132, were analysed for IDH2 (R172, R140) mutations. Validation was performed by capillary sequencing and restriction enzyme digestion. Heterozygous somatic IDH1/IDH2 mutations, which result in the production of a potential oncometabolite, 2-hydroxyglutarate, were only detected in central and periosteal cartilaginous tumours, and were found in at least 56% of these, ∼40% of which were represented by R132C. IDH1 R132H mutations were confirmed by immunoreactivity for this mutant allele. The ratio of IDH1:IDH2 mutation was 10.6 : 1. No IDH2 R140 mutations were detected. Mutations were detected in enchondromas through to conventional central and dedifferentiated chondrosarcomas, in patients with both solitary and multiple neoplasms. No germline mutations were detected. No mutations were detected in peripheral chondrosarcomas and osteochondromas. In conclusion, IDH1 and IDH2 mutations represent the first common genetic abnormalities to be identified in conventional central and periosteal cartilaginous tumours. As in gliomas and AML, the mutations appear to occur early in tumourigenesis. We speculate that a mosaic pattern of IDH-mutation-bearing cells explains the reports of diverse tumours (gliomas, AML, multiple cartilaginous neoplasms, haemangiomas) occurring in the same patient.
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- 2011
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7. Genome-wide transcriptomic profiling of microdissected human breast tissue reveals differential expression of KIT (c-Kit, CD117) and oestrogen receptor-α (ERα) in response to therapeutic radiation
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Anita Grigoriadis, Kerry Fenwick, John Yarnold, C. Westbury, Jorge S. Reis-Filho, Clare M. Isacke, Marjan Iravani, Alan Ashworth, Suzanne Parry, David J. Robertson, Alan Mackay, Tim Dexter, and Betania Mahler-Araujo
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Adult ,Pathology ,medicine.medical_specialty ,Stromal cell ,Gene Expression ,Estrogen receptor ,Connective tissue ,Breast Neoplasms ,Biology ,Statistics, Nonparametric ,Pathology and Forensic Medicine ,Fibrosis ,medicine ,Humans ,Breast ,Aged ,Laser capture microdissection ,Microscopy, Confocal ,CD117 ,Gene Expression Profiling ,Estrogen Receptor alpha ,Epithelial Cells ,Middle Aged ,medicine.disease ,Immunohistochemistry ,Gene Expression Regulation, Neoplastic ,CTGF ,Proto-Oncogene Proteins c-kit ,medicine.anatomical_structure ,biology.protein ,Female ,Stromal Cells ,Microdissection ,Genome-Wide Association Study - Abstract
The pathogenesis of late normal tissue fibrosis after high-dose ionizing radiation involves multiple cell types and signalling pathways but is not well understood. To identify the molecular changes occurring after radiotherapy, paired normal tissue samples were collected from the non-irradiated breast and from the treated breast of women who had undergone curative radiotherapy for early breast cancer months or years previously. As radiation may induce distinct transcriptional changes in the different components of the breast, laser capture microdissection and gene expression microarray profiling were performed separately for epithelial and stromal components and selected genes were validated using immunohistochemistry. In the epithelial compartment, a reduction of KIT (c-Kit; CD117) and a reciprocal increase in ESR1 (oestrogen receptor-alpha, ERalpha) mRNA and protein levels were seen in irradiated compared to non-irradiated samples. In the stromal compartment, extracellular matrix genes including FN1 (fibronectin 1) and CTGF (connective tissue growth factor; CCN2) were increased. Further investigation revealed that c-Kit and ERalpha were expressed in distinct subpopulations of luminal epithelial cells. Interlobular c-Kit-positive mast cells were also increased in irradiated cases not showing features of post-radiation atrophy. Pathway analysis revealed 'cancer, reproductive system disease and tumour morphology' as the most significantly enriched network in the epithelial compartment, whereas in the stromal component, a significant enrichment for 'connective tissue disorders, dermatological diseases and conditions, genetic disorder' and 'cancer, tumour morphology, infection mechanism' networks was observed. These data identify previously unreported changes in the epithelial compartment and show altered expression of genes implicated in late normal tissue injury in the stromal compartment of normal breast tissue. The findings are relevant to both fibrosis and atrophy occurring after radiotherapy for early breast cancer.
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- 2009
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