The EPICURE study: a pilot prospective cohort study of heterogeneous and massive data integration in metastatic breast cancer patients

Abstract Background Breast cancer is the most common cancer in women and the first cancer concerning mortality. Metastatic breast cancer remains a disease with a poor prognosis and about 30% of women diagnosed with an early stage will have a secondary progression. Metastatic breast cancer is an incu...

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Main Authors: Mathilde Colombié, Pascal Jézéquel, Mathieu Rubeaux, Jean-Sébastien Frenel, Frédéric Bigot, Valérie Seegers, Mario Campone
Format: Article
Language:English
Published: BMC 2021-03-01
Series:BMC Cancer
Subjects:
Online Access:https://doi.org/10.1186/s12885-021-08060-8
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spelling doaj-a8460bd3abbf4701b7f1fdd98a7d5b532021-04-04T11:43:43ZengBMCBMC Cancer1471-24072021-03-012111910.1186/s12885-021-08060-8The EPICURE study: a pilot prospective cohort study of heterogeneous and massive data integration in metastatic breast cancer patientsMathilde Colombié0Pascal Jézéquel1Mathieu Rubeaux2Jean-Sébastien Frenel3Frédéric Bigot4Valérie Seegers5Mario Campone6Scientific and innovation department, ICO Integrated Center for OncologyBioinfomic unit, ICO Integrated Center for OncologyKeosysMedical oncology department, ICO Integrated Center for OncologyMedical oncology department, ICO Integrated Center for OncologyBiometric unit, ICO Integrated Center for OncologyMedical oncology department, ICO Integrated Center for OncologyAbstract Background Breast cancer is the most common cancer in women and the first cancer concerning mortality. Metastatic breast cancer remains a disease with a poor prognosis and about 30% of women diagnosed with an early stage will have a secondary progression. Metastatic breast cancer is an incurable disease despite significant therapeutic advances in both supportive cares and targeted specific therapies. In the management of a metastatic patient, each clinician follows a highly complex and strictly personal decision making process. It is based on a number of objective and subjective parameters which guides therapeutic choice in the most individualized or adapted manner. Methods/design The main objective is to integrate massive and heterogeneous data concerning the patient’s environment, personal and familial history, clinical and biological data, imaging, histological results (with multi-omics data), and microbiota analysis. These characteristics are multiple and in dynamic interaction overtime. With the help of mathematical units with biological competences and scientific collaborations, our project is to improve the comprehension of treatment response, based on health clinical and molecular heterogeneous big data investigation. Discussion Our project is to prove feasibility of creation of a clinico-biological database prospectively by collecting epidemiological, socio-economic, clinical, biological, pathological, multi-omic data and to identify characteristics related to the overall survival status before treatment and within 15 years after treatment start from a cohort of 300 patients with a metastatic breast cancer treated in the institution. Trial registration ClinicalTrials.gov identifier (NCT number): NCT03958136 . Registration 21st of May, 2019; retrospectively registered.https://doi.org/10.1186/s12885-021-08060-8Metastatic breast cancerCohortPredictionCollectionHeterogeneousMulti-omics data
collection DOAJ
language English
format Article
sources DOAJ
author Mathilde Colombié
Pascal Jézéquel
Mathieu Rubeaux
Jean-Sébastien Frenel
Frédéric Bigot
Valérie Seegers
Mario Campone
spellingShingle Mathilde Colombié
Pascal Jézéquel
Mathieu Rubeaux
Jean-Sébastien Frenel
Frédéric Bigot
Valérie Seegers
Mario Campone
The EPICURE study: a pilot prospective cohort study of heterogeneous and massive data integration in metastatic breast cancer patients
BMC Cancer
Metastatic breast cancer
Cohort
Prediction
Collection
Heterogeneous
Multi-omics data
author_facet Mathilde Colombié
Pascal Jézéquel
Mathieu Rubeaux
Jean-Sébastien Frenel
Frédéric Bigot
Valérie Seegers
Mario Campone
author_sort Mathilde Colombié
title The EPICURE study: a pilot prospective cohort study of heterogeneous and massive data integration in metastatic breast cancer patients
title_short The EPICURE study: a pilot prospective cohort study of heterogeneous and massive data integration in metastatic breast cancer patients
title_full The EPICURE study: a pilot prospective cohort study of heterogeneous and massive data integration in metastatic breast cancer patients
title_fullStr The EPICURE study: a pilot prospective cohort study of heterogeneous and massive data integration in metastatic breast cancer patients
title_full_unstemmed The EPICURE study: a pilot prospective cohort study of heterogeneous and massive data integration in metastatic breast cancer patients
title_sort epicure study: a pilot prospective cohort study of heterogeneous and massive data integration in metastatic breast cancer patients
publisher BMC
series BMC Cancer
issn 1471-2407
publishDate 2021-03-01
description Abstract Background Breast cancer is the most common cancer in women and the first cancer concerning mortality. Metastatic breast cancer remains a disease with a poor prognosis and about 30% of women diagnosed with an early stage will have a secondary progression. Metastatic breast cancer is an incurable disease despite significant therapeutic advances in both supportive cares and targeted specific therapies. In the management of a metastatic patient, each clinician follows a highly complex and strictly personal decision making process. It is based on a number of objective and subjective parameters which guides therapeutic choice in the most individualized or adapted manner. Methods/design The main objective is to integrate massive and heterogeneous data concerning the patient’s environment, personal and familial history, clinical and biological data, imaging, histological results (with multi-omics data), and microbiota analysis. These characteristics are multiple and in dynamic interaction overtime. With the help of mathematical units with biological competences and scientific collaborations, our project is to improve the comprehension of treatment response, based on health clinical and molecular heterogeneous big data investigation. Discussion Our project is to prove feasibility of creation of a clinico-biological database prospectively by collecting epidemiological, socio-economic, clinical, biological, pathological, multi-omic data and to identify characteristics related to the overall survival status before treatment and within 15 years after treatment start from a cohort of 300 patients with a metastatic breast cancer treated in the institution. Trial registration ClinicalTrials.gov identifier (NCT number): NCT03958136 . Registration 21st of May, 2019; retrospectively registered.
topic Metastatic breast cancer
Cohort
Prediction
Collection
Heterogeneous
Multi-omics data
url https://doi.org/10.1186/s12885-021-08060-8
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