Cargando…

Rational design of cancer gene panels with OncoPaD

BACKGROUND: Profiling the somatic mutations of genes which may inform about tumor evolution, prognostics and treatment is becoming a standard tool in clinical oncology. Commercially available cancer gene panels rely on manually gathered cancer-related genes, in a “one-size-fits-many” solution. The d...

Descripción completa

Detalles Bibliográficos
Autores principales: Rubio-Perez, Carlota, Deu-Pons, Jordi, Tamborero, David, Lopez-Bigas, Nuria, Gonzalez-Perez, Abel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5047348/
https://www.ncbi.nlm.nih.gov/pubmed/27716338
http://dx.doi.org/10.1186/s13073-016-0349-1
_version_ 1782457403396063232
author Rubio-Perez, Carlota
Deu-Pons, Jordi
Tamborero, David
Lopez-Bigas, Nuria
Gonzalez-Perez, Abel
author_facet Rubio-Perez, Carlota
Deu-Pons, Jordi
Tamborero, David
Lopez-Bigas, Nuria
Gonzalez-Perez, Abel
author_sort Rubio-Perez, Carlota
collection PubMed
description BACKGROUND: Profiling the somatic mutations of genes which may inform about tumor evolution, prognostics and treatment is becoming a standard tool in clinical oncology. Commercially available cancer gene panels rely on manually gathered cancer-related genes, in a “one-size-fits-many” solution. The design of new panels requires laborious search of literature and cancer genomics resources, with their performance on cohorts of patients difficult to estimate. RESULTS: We present OncoPaD, to our knowledge the first tool aimed at the rational design of cancer gene panels. OncoPaD estimates the cost-effectiveness of the designed panel on a cohort of tumors and provides reports on the importance of individual mutations for tumorigenesis or therapy. With a friendly interface and intuitive input, OncoPaD suggests researchers relevant sets of genes to be included in the panel, because prior knowledge or analyses indicate that their mutations either drive tumorigenesis or function as biomarkers of drug response. OncoPaD also provides reports on the importance of individual mutations for tumorigenesis or therapy that support the interpretation of the results obtained with the designed panel. We demonstrate in silico that OncoPaD designed panels are more cost-effective—i.e. detect a maximum fraction of tumors in the cohort by sequencing a minimum quantity of DNA—than available panels. CONCLUSIONS: With its unique features, OncoPaD will help clinicians and researchers design tailored next-generating sequencing (NGS) panels to detect circulating tumor DNA or biopsy specimens, thereby facilitating early and accurate detection of tumors, genomics informed therapeutic decisions, patient follow-up and timely identification of resistance mechanisms to targeted agents. OncoPaD may be accessed through http://www.intogen.org/oncopad. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13073-016-0349-1) contains supplementary material, which is available to authorized users.
format Online
Article
Text
id pubmed-5047348
institution National Center for Biotechnology Information
language English
publishDate 2016
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-50473482016-10-11 Rational design of cancer gene panels with OncoPaD Rubio-Perez, Carlota Deu-Pons, Jordi Tamborero, David Lopez-Bigas, Nuria Gonzalez-Perez, Abel Genome Med Software BACKGROUND: Profiling the somatic mutations of genes which may inform about tumor evolution, prognostics and treatment is becoming a standard tool in clinical oncology. Commercially available cancer gene panels rely on manually gathered cancer-related genes, in a “one-size-fits-many” solution. The design of new panels requires laborious search of literature and cancer genomics resources, with their performance on cohorts of patients difficult to estimate. RESULTS: We present OncoPaD, to our knowledge the first tool aimed at the rational design of cancer gene panels. OncoPaD estimates the cost-effectiveness of the designed panel on a cohort of tumors and provides reports on the importance of individual mutations for tumorigenesis or therapy. With a friendly interface and intuitive input, OncoPaD suggests researchers relevant sets of genes to be included in the panel, because prior knowledge or analyses indicate that their mutations either drive tumorigenesis or function as biomarkers of drug response. OncoPaD also provides reports on the importance of individual mutations for tumorigenesis or therapy that support the interpretation of the results obtained with the designed panel. We demonstrate in silico that OncoPaD designed panels are more cost-effective—i.e. detect a maximum fraction of tumors in the cohort by sequencing a minimum quantity of DNA—than available panels. CONCLUSIONS: With its unique features, OncoPaD will help clinicians and researchers design tailored next-generating sequencing (NGS) panels to detect circulating tumor DNA or biopsy specimens, thereby facilitating early and accurate detection of tumors, genomics informed therapeutic decisions, patient follow-up and timely identification of resistance mechanisms to targeted agents. OncoPaD may be accessed through http://www.intogen.org/oncopad. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13073-016-0349-1) contains supplementary material, which is available to authorized users. BioMed Central 2016-10-03 /pmc/articles/PMC5047348/ /pubmed/27716338 http://dx.doi.org/10.1186/s13073-016-0349-1 Text en © The Author(s). 2016 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
Rubio-Perez, Carlota
Deu-Pons, Jordi
Tamborero, David
Lopez-Bigas, Nuria
Gonzalez-Perez, Abel
Rational design of cancer gene panels with OncoPaD
title Rational design of cancer gene panels with OncoPaD
title_full Rational design of cancer gene panels with OncoPaD
title_fullStr Rational design of cancer gene panels with OncoPaD
title_full_unstemmed Rational design of cancer gene panels with OncoPaD
title_short Rational design of cancer gene panels with OncoPaD
title_sort rational design of cancer gene panels with oncopad
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5047348/
https://www.ncbi.nlm.nih.gov/pubmed/27716338
http://dx.doi.org/10.1186/s13073-016-0349-1
work_keys_str_mv AT rubioperezcarlota rationaldesignofcancergenepanelswithoncopad
AT deuponsjordi rationaldesignofcancergenepanelswithoncopad
AT tamborerodavid rationaldesignofcancergenepanelswithoncopad
AT lopezbigasnuria rationaldesignofcancergenepanelswithoncopad
AT gonzalezperezabel rationaldesignofcancergenepanelswithoncopad