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The Cancer Cell Line Encyclopedia enables predictive modeling of anticancer drug sensitivity
The results indicate that large, annotated cell-line collections may help to enable preclinical stratification schemata for anticancer agents and the generation of genetic predictions of drug response in the preclinical setting and their incorporation into cancer clinical trial design could speed the emergence of ‘personalized’ therapeutic regimens.
Mutational heterogeneity in cancer and the search for new cancer-associated genes
Michael S. Lawrence*, Petar Stojanov*, Paz Polak*, Gregory V. Kryukov, Kristian Cibulskis, Andrey Sivachenko, Scott L. Carter, Chip Stewart, Craig H. Mermel, Steven A. Roberts, Adam Kiezun, Peter S.…
The Mutational Landscape of Head and Neck Squamous Cell Carcinoma
The results indicate the ability of large-scale sequencing to reveal fundamental tumorigenic mechanisms and suggest the development of targeted therapies for head and neck cancer may be hindered by complex mutational profiles.
A Landscape of Driver Mutations in Melanoma
The landscape of somatic copy-number alteration across human cancers
It is demonstrated that cancer cells containing amplifications surrounding the MCL1 and BCL2L1 anti-apoptotic genes depend on the expression of these genes for survival, and a large majority of SCNAs identified in individual cancer types are present in several cancer types.
Integrative Clinical Genomics of Advanced Prostate Cancer
Dissecting the multicellular ecosystem of metastatic melanoma by single-cell RNA-seq
The cellular ecosystem of tumors is begin to unravel and how single-cell genomics offers insights with implications for both targeted and immune therapies is unraveled.
Comprehensive genomic characterization defines human glioblastoma genes and core pathways
The interim integrative analysis of DNA copy number, gene expression and DNA methylation aberrations in 206 glioblastomas reveals a link between MGMT promoter methylation and a hypermutator phenotype consequent to mismatch repair deficiency in treated gliobeasts, demonstrating that it can rapidly expand knowledge of the molecular basis of cancer.
Next-generation characterization of the Cancer Cell Line Encyclopedia
The original Cancer Cell Line Encyclopedia is expanded with deeper characterization of over 1,000 cell lines, including genomic, transcriptomic, and proteomic data, and integration with drug-sensitivity and gene-dependency data, which reveals potential targets for cancer drugs and associated biomarkers.
Assessing the significance of chromosomal aberrations in cancer: Methodology and application to glioma
- R. Beroukhim, G. Getz, W. Sellers
- BiologyProceedings of the National Academy of Sciences
- 11 December 2007
A systematic method, called Genomic Identification of Significant Targets in Cancer (GISTIC), designed for analyzing chromosomal aberrations in cancer, is used to study gliomas and the results support the feasibility and utility of systematic characterization of the cancer genome.