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The OncoLifeS data-biobank for oncology: a comprehensive repository of clinical data, biological samples, and the patient’s perspective

BACKGROUND: Understanding cancer heterogeneity, its temporal evolution over time, and the outcomes of guided treatment depend on accurate data collection in a context of routine clinical care. We have developed a hospital-based data-biobank for oncology, entitled OncoLifeS (Oncological Life Study: L...

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Autores principales: Sidorenkov, Grigory, Nagel, Janny, Meijer, Coby, Duker, Jacko J., Groen, Harry J. M., Halmos, Gyorgy B., Oonk, Maaike H. M., Oostergo, Rene J., van der Vegt, Bert, Witjes, Max J. H., Nijland, Marcel, Havenga, Klaas, Maduro, John H., Gietema, Jourik A., de Bock, Gertruida H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6857242/
https://www.ncbi.nlm.nih.gov/pubmed/31727094
http://dx.doi.org/10.1186/s12967-019-2122-x
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author Sidorenkov, Grigory
Nagel, Janny
Meijer, Coby
Duker, Jacko J.
Groen, Harry J. M.
Halmos, Gyorgy B.
Oonk, Maaike H. M.
Oostergo, Rene J.
van der Vegt, Bert
Witjes, Max J. H.
Nijland, Marcel
Havenga, Klaas
Maduro, John H.
Gietema, Jourik A.
de Bock, Gertruida H.
author_facet Sidorenkov, Grigory
Nagel, Janny
Meijer, Coby
Duker, Jacko J.
Groen, Harry J. M.
Halmos, Gyorgy B.
Oonk, Maaike H. M.
Oostergo, Rene J.
van der Vegt, Bert
Witjes, Max J. H.
Nijland, Marcel
Havenga, Klaas
Maduro, John H.
Gietema, Jourik A.
de Bock, Gertruida H.
author_sort Sidorenkov, Grigory
collection PubMed
description BACKGROUND: Understanding cancer heterogeneity, its temporal evolution over time, and the outcomes of guided treatment depend on accurate data collection in a context of routine clinical care. We have developed a hospital-based data-biobank for oncology, entitled OncoLifeS (Oncological Life Study: Living well as a cancer survivor), that links routine clinical data with preserved biological specimens and quality of life assessments. The aim of this study is to describe the organization and development of a data-biobank for cancer research. RESULTS: We have enrolled 3704 patients aged ≥ 18 years diagnosed with cancer, of which 45 with hereditary breast-ovarian cancer (70% participation rate) as of October 24th, 2019. The average age is 63.6 ± 14.2 years and 1892 (51.1%) are female. The following data are collected: clinical and treatment details, comorbidities, lifestyle, radiological and pathological findings, and long-term outcomes. We also collect and store various biomaterials of patients as well as information from quality of life assessments. CONCLUSION: Embedding a data-biobank in clinical care can ensure the collection of high-quality data. Moreover, the inclusion of longitudinal quality of life data allows us to incorporate patients’ perspectives and inclusion of imaging data provides an opportunity for analyzing raw imaging data using artificial intelligence (AI) methods, thus adding new dimensions to the collected data.
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spelling pubmed-68572422019-12-05 The OncoLifeS data-biobank for oncology: a comprehensive repository of clinical data, biological samples, and the patient’s perspective Sidorenkov, Grigory Nagel, Janny Meijer, Coby Duker, Jacko J. Groen, Harry J. M. Halmos, Gyorgy B. Oonk, Maaike H. M. Oostergo, Rene J. van der Vegt, Bert Witjes, Max J. H. Nijland, Marcel Havenga, Klaas Maduro, John H. Gietema, Jourik A. de Bock, Gertruida H. J Transl Med Methodology BACKGROUND: Understanding cancer heterogeneity, its temporal evolution over time, and the outcomes of guided treatment depend on accurate data collection in a context of routine clinical care. We have developed a hospital-based data-biobank for oncology, entitled OncoLifeS (Oncological Life Study: Living well as a cancer survivor), that links routine clinical data with preserved biological specimens and quality of life assessments. The aim of this study is to describe the organization and development of a data-biobank for cancer research. RESULTS: We have enrolled 3704 patients aged ≥ 18 years diagnosed with cancer, of which 45 with hereditary breast-ovarian cancer (70% participation rate) as of October 24th, 2019. The average age is 63.6 ± 14.2 years and 1892 (51.1%) are female. The following data are collected: clinical and treatment details, comorbidities, lifestyle, radiological and pathological findings, and long-term outcomes. We also collect and store various biomaterials of patients as well as information from quality of life assessments. CONCLUSION: Embedding a data-biobank in clinical care can ensure the collection of high-quality data. Moreover, the inclusion of longitudinal quality of life data allows us to incorporate patients’ perspectives and inclusion of imaging data provides an opportunity for analyzing raw imaging data using artificial intelligence (AI) methods, thus adding new dimensions to the collected data. BioMed Central 2019-11-14 /pmc/articles/PMC6857242/ /pubmed/31727094 http://dx.doi.org/10.1186/s12967-019-2122-x Text en © The Author(s) 2019 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 Methodology
Sidorenkov, Grigory
Nagel, Janny
Meijer, Coby
Duker, Jacko J.
Groen, Harry J. M.
Halmos, Gyorgy B.
Oonk, Maaike H. M.
Oostergo, Rene J.
van der Vegt, Bert
Witjes, Max J. H.
Nijland, Marcel
Havenga, Klaas
Maduro, John H.
Gietema, Jourik A.
de Bock, Gertruida H.
The OncoLifeS data-biobank for oncology: a comprehensive repository of clinical data, biological samples, and the patient’s perspective
title The OncoLifeS data-biobank for oncology: a comprehensive repository of clinical data, biological samples, and the patient’s perspective
title_full The OncoLifeS data-biobank for oncology: a comprehensive repository of clinical data, biological samples, and the patient’s perspective
title_fullStr The OncoLifeS data-biobank for oncology: a comprehensive repository of clinical data, biological samples, and the patient’s perspective
title_full_unstemmed The OncoLifeS data-biobank for oncology: a comprehensive repository of clinical data, biological samples, and the patient’s perspective
title_short The OncoLifeS data-biobank for oncology: a comprehensive repository of clinical data, biological samples, and the patient’s perspective
title_sort oncolifes data-biobank for oncology: a comprehensive repository of clinical data, biological samples, and the patient’s perspective
topic Methodology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6857242/
https://www.ncbi.nlm.nih.gov/pubmed/31727094
http://dx.doi.org/10.1186/s12967-019-2122-x
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