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EcSeg: Semantic Segmentation of Metaphase Images Containing Extrachromosomal DNA

Oncogene amplification is one of the most common drivers of genetic events in cancer, potently promoting tumor development, growth, and progression. The recent discovery that oncogene amplification commonly occurs on extrachromosomal DNA, driving intratumoral genetic heterogeneity and high copy numb...

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Detalles Bibliográficos
Autores principales: Rajkumar, Utkrisht, Turner, Kristen, Luebeck, Jens, Deshpande, Viraj, Chandraker, Manmohan, Mischel, Paul, Bafna, Vineet
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6849072/
https://www.ncbi.nlm.nih.gov/pubmed/31706138
http://dx.doi.org/10.1016/j.isci.2019.10.035
Descripción
Sumario:Oncogene amplification is one of the most common drivers of genetic events in cancer, potently promoting tumor development, growth, and progression. The recent discovery that oncogene amplification commonly occurs on extrachromosomal DNA, driving intratumoral genetic heterogeneity and high copy number owing to its non-chromosomal mechanism of inheritance, raises important questions about how the subnuclear location of amplified oncogenes mediates tumor pathogenesis. Next-generation sequencing is powerful but does not provide spatial resolution for amplified oncogenes, and new approaches are needed for accurately quantifying oncogenes located on ecDNA. Here, we introduce ecSeg, an image analysis tool that integrates conventional microscopy with deep neural networks to accurately resolve ecDNA and oncogene amplification at the single cell level.