Ontology highlight
ABSTRACT: Whole genome sequencing was applied to tumor and adjacent normal lung tissue in an individual non-small-cell lung cancer patient. We present an analysis of somatic changes identified throughout the tumor genome, including single-nucleotide variants, copy number variants, and large-scale chromosomal rearrangements. Over 50,000 high-confidence single-nucleotide variants were identified, revealing evidence of substantial smoking-related DNA damage as well as distinct mutational pressures within the tumor resulting in uneven distribution of somatic mutations across the genome.
OTHER RELATED OMICS DATASETS IN: PRJNA129853PRJNA125281PRJNA129849PRJNA129855
PROVIDER: phs000299.v1.p1 | EGA |
REPOSITORIES: EGA
Lee William W Jiang Zhaoshi Z Liu Jinfeng J Haverty Peter M PM Guan Yinghui Y Stinson Jeremy J Yue Peng P Zhang Yan Y Pant Krishna P KP Bhatt Deepali D Ha Connie C Johnson Stephanie S Kennemer Michael I MI Mohan Sankar S Nazarenko Igor I Watanabe Colin C Sparks Andrew B AB Shames David S DS Gentleman Robert R de Sauvage Frederic J FJ Stern Howard H Pandita Ajay A Ballinger Dennis G DG Drmanac Radoje R Modrusan Zora Z Seshagiri Somasekar S Zhang Zemin Z
Nature 20100501 7297
Lung cancer is the leading cause of cancer-related mortality worldwide, with non-small-cell lung carcinomas in smokers being the predominant form of the disease. Although previous studies have identified important common somatic mutations in lung cancers, they have primarily focused on a limited set of genes and have thus provided a constrained view of the mutational spectrum. Recent cancer sequencing efforts have used next-generation sequencing technologies to provide a genome-wide view of muta ...[more]