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CANcer TOxicities Study (CANTO)
CANcer TOxicities Study logo
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Sample details

The CANTO study is a French prospective cohort study investigating long-term treatment-related toxicities in women with localised breast cancer, with over 12,000 participants enrolled across 26 cancer centers in France by October 2018. Recruitment began in 2012, with participants enrolled at the time of diagnosis through their treating cancer centres. The study also includes embedded biological sub-studies (e.g., microbiotic and cognitive). Follow-up assessments occur at diagnosis, 3–6 months, and then at 12, 36, and 60 months after completion of primary treatment. Long-term follow-up is collected at 6, 7, 8 and 10 years.

Study design
Cohort, Cohort - clinical

Number of participants at first data collection

12,012 (participants, as of 2018)

Recruitment is ongoing

Age at first data collection

≥ 18 years (participants)

Participant year of birth

Varied (participants)

Participant sex
Female

Representative sample at baseline?
No

Sample features

Adults
Cancer patients
Women
Dataset details

Country

France

Year of first data collection

2012

Primary Institutions

Gustave Roussy Institute (Institut Gustave Roussy, IGR)

Investments for the Future Programme (Investissements d'avenir)

Unicancer

Links

unicancer.fr/en/programs/canto/

clinicaltrials.gov/study/NCT01993498

doi.org/10.1016/j.esmoop.2024.103994

Funders

Agence nationale de la recherche (ANR)

French League against Cancer (Ligue Nationale Contre le Cancer, LNCC)

Ongoing?
Yes

Data types collected

mentalHealthData
Quantitative data collection
  • Physical or biological assessment (e.g. blood, saliva, gait, grip strength, anthropometry)
  • Self-report questionnaire – paper or computer assisted
Qualitative data collection
  • None
Neuroimaging data collection
  • None
Linked or secondary data
  • None
Features

Engagement

  • Community engagement
  • Keywords

    Biological samples/biospecimens
    Breast cancer
    Cancer
    Clinical outcomes
    Diagnostic information
    Longstanding illness and disability
    Patient data
    Physical health
    Psychosocial factors
    Quality of life
    Toxicology
    Treatment experiences and outcomes
    Women's health
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