The French Early Breast Cancer Cohort (FRESH): a resource for breast cancer research and evaluations of oncology practices based on the French National Healthcare System Database (SNDS) Article Swipe
Élise Dumas
,
Lucie Laot
,
Florence Coussy
,
Beatriz Grandal Rejo
,
Eric Daoud
,
Enora Laas
,
Amyn Kassara
,
Alena Majdling
,
Rayan Kabirian
,
Floriane Jochum
,
Paul Gougis
,
Sophie Michel
,
Sophie Houzard
,
Christine Le Bihan-Benjamin
,
Philippe‐Jean Bousquet
,
Judicaël Hotton
,
Chloé‐Agathe Azencott
,
Fabien Reyal
,
Anne‐Sophie Hamy
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1101/2022.03.14.22272286
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1101/2022.03.14.22272286
Background Breast cancer (BC) is the most frequent cancer and the leading cause of cancer-related death in women. The French National Cancer Institute has created a national cancer cohort to promote cancer research and improve our understanding of cancer using the National Health Data System (SNDS). This cohort amalgamates all cancer sites, with no detailed separate data for early BC. Objectives We describe the French Early Breast Cancer Cohort (FRESH). Methods All French women aged 18 years or over, with early-stage BC newly diagnosed between January 1, 2011 and December 31, 2017, treated by surgery and registered in the general health insurance coverage plan were included in the cohort. Patients with suspected locoregional or distant metastases at diagnosis were excluded. BC treatments (surgery, chemotherapy, targeted therapy, radiotherapy, endocrine therapy), and diagnostic procedures (biopsy, cytology, imaging) were extracted from hospital discharge reports, outpatient care notes or pharmacy drug delivery data. BC subtype was inferred from the treatments received. Results We included 235,368 patients with early BC in the cohort (median age: 60 years). BC subtype distribution was as follows: luminal (80.2%), triple-negative (TNBC, 9.5%); HER2 + (10.3%), or unidentifiable ( n =44,388, 18.9% of the cohort). Most patients underwent radiotherapy ( n =200,685, 85.3%) and endocrine therapy ( n =165,655, 70.4%), and 38.3% ( n =90,252) received chemotherapy. Treatments and care pathways are described. Conclusion The FRESH Cohort is an unprecedented population-based resource facilitating future large-scale real-life studies aiming to improve care pathways and quality of care for BC patients.
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.1101/2022.03.14.22272286
- https://www.medrxiv.org/content/medrxiv/early/2022/03/14/2022.03.14.22272286.full.pdf
- OA Status
- green
- Cited By
- 3
- References
- 37
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4220971882
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4220971882Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1101/2022.03.14.22272286Digital Object Identifier
- Title
-
The French Early Breast Cancer Cohort (FRESH): a resource for breast cancer research and evaluations of oncology practices based on the French National Healthcare System Database (SNDS)Work title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-03-14Full publication date if available
- Authors
-
Élise Dumas, Lucie Laot, Florence Coussy, Beatriz Grandal Rejo, Eric Daoud, Enora Laas, Amyn Kassara, Alena Majdling, Rayan Kabirian, Floriane Jochum, Paul Gougis, Sophie Michel, Sophie Houzard, Christine Le Bihan-Benjamin, Philippe‐Jean Bousquet, Judicaël Hotton, Chloé‐Agathe Azencott, Fabien Reyal, Anne‐Sophie HamyList of authors in order
- Landing page
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https://doi.org/10.1101/2022.03.14.22272286Publisher landing page
- PDF URL
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https://www.medrxiv.org/content/medrxiv/early/2022/03/14/2022.03.14.22272286.full.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
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https://www.medrxiv.org/content/medrxiv/early/2022/03/14/2022.03.14.22272286.full.pdfDirect OA link when available
- Concepts
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Medicine, Cohort, Breast cancer, Cancer, Radiation therapy, Population, Retrospective cohort study, Cancer registry, Cohort study, Internal medicine, Oncology, Database, Environmental health, Computer scienceTop concepts (fields/topics) attached by OpenAlex
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3Total citation count in OpenAlex
- Citations by year (recent)
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2025: 1, 2024: 1, 2022: 1Per-year citation counts (last 5 years)
- References (count)
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37Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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