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Exploring the OncoGenomic Landscape of cancer
BACKGROUND: 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 br...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6090738/ https://www.ncbi.nlm.nih.gov/pubmed/30071882 http://dx.doi.org/10.1186/s13073-018-0571-0 |
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author | Mateo, Lidia Guitart-Pla, Oriol Duran-Frigola, Miquel Aloy, Patrick |
author_facet | Mateo, Lidia Guitart-Pla, Oriol Duran-Frigola, Miquel Aloy, Patrick |
author_sort | Mateo, Lidia |
collection | PubMed |
description | BACKGROUND: 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. RESULTS: 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. CONCLUSIONS: 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/. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13073-018-0571-0) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6090738 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-60907382018-08-17 Exploring the OncoGenomic Landscape of cancer Mateo, Lidia Guitart-Pla, Oriol Duran-Frigola, Miquel Aloy, Patrick Genome Med Software BACKGROUND: 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. RESULTS: 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. CONCLUSIONS: 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/. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13073-018-0571-0) contains supplementary material, which is available to authorized users. BioMed Central 2018-08-03 /pmc/articles/PMC6090738/ /pubmed/30071882 http://dx.doi.org/10.1186/s13073-018-0571-0 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Software Mateo, Lidia Guitart-Pla, Oriol Duran-Frigola, Miquel Aloy, Patrick Exploring the OncoGenomic Landscape of cancer |
title | Exploring the OncoGenomic Landscape of cancer |
title_full | Exploring the OncoGenomic Landscape of cancer |
title_fullStr | Exploring the OncoGenomic Landscape of cancer |
title_full_unstemmed | Exploring the OncoGenomic Landscape of cancer |
title_short | Exploring the OncoGenomic Landscape of cancer |
title_sort | exploring the oncogenomic landscape of cancer |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6090738/ https://www.ncbi.nlm.nih.gov/pubmed/30071882 http://dx.doi.org/10.1186/s13073-018-0571-0 |
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