Exploring the OncoGenomic Landscape of cancer

The widespread incorporation of next-generation sequencing into clinical oncology has yielded an unprecedented amount of molecular data from thousands of patients. A main current challenge is to find out reliable ways to extrapolate results from one group of patients to another and to bring rational...

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Bibliographic Details
Published in:Genome medicine 2018-08, Vol.10 (1), p.61-61, Article 61
Main Authors: Mateo, Lidia, Guitart-Pla, Oriol, Duran-Frigola, Miquel, Aloy, Patrick
Format: Article
Language:English
Subjects:
Analysis
Biomarkers, Tumor - genetics
Breast cancer
Cancer
Cancer cells
Cancer genetics
Cancer patients
Databases, Genetic
Datasets
Gene expression
Gene mapping
Genome, Human
Genomes
Genomics
Genomics - methods
Health aspects
Humans
Mutation
Neoplasms - genetics
Next-generation sequencing
Oncology
Organoids
Patients
Polymorphism, Genetic
Software
Xenografts
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Summary:The widespread incorporation of next-generation sequencing into clinical oncology has yielded an unprecedented amount of molecular data from thousands of patients. A main current challenge is to find out reliable ways to extrapolate results from one group of patients to another and to bring rationale to individual cases in the light of what is known from the cohorts. We present OncoGenomic Landscapes, a framework to analyze and display thousands of cancer genomic profiles in a 2D space. Our tool allows users to rapidly assess the heterogeneity of large cohorts, enabling the comparison to other groups of patients, and using driver genes as landmarks to aid in the interpretation of the landscapes. In our web-server, we also offer the possibility of mapping new samples and cohorts onto 22 predefined landscapes related to cancer cell line panels, organoids, patient-derived xenografts, and clinical tumor samples. Contextualizing individual subjects in a more general landscape of human cancer is a valuable aid for basic researchers and clinical oncologists trying to identify treatment opportunities, maybe yet unapproved, for patients that ran out of standard therapeutic options. The web-server can be accessed at https://oglandscapes.irbbarcelona.org /.
ISSN:1756-994X
1756-994X
DOI:10.1186/s13073-018-0571-0