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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| Format: | Article |
| Language: | English |
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BMC
2021-03-01
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| Series: | BMC Cancer |
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| Online Access: | https://doi.org/10.1186/s12885-021-08060-8 |
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| author | Mathilde Colombié Pascal Jézéquel Mathieu Rubeaux Jean-Sébastien Frenel Frédéric Bigot Valérie Seegers Mario Campone |
| author_facet | Mathilde Colombié Pascal Jézéquel Mathieu Rubeaux Jean-Sébastien Frenel Frédéric Bigot Valérie Seegers Mario Campone |
| author_sort | Mathilde Colombié |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-12-16T18:49:16Z |
| format | Article |
| id | doaj.art-a8460bd3abbf4701b7f1fdd98a7d5b53 |
| institution | Directory Open Access Journal |
| issn | 1471-2407 |
| language | English |
| last_indexed | 2024-12-16T18:49:16Z |
| publishDate | 2021-03-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Cancer |
| spelling | doaj.art-a8460bd3abbf4701b7f1fdd98a7d5b532022-12-21T22:20:45ZengBMCBMC 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 |
| 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 |
| title | 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_short | 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 |
| 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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