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Validation of the online prediction model CancerMath in the Dutch breast cancer population

Hoveling, L. A., van Maaren, M. C., Hueting, T., Strobbe, L. J. A., Hendriks, M. P., Sonke, G. S. & Siesling, S., Dec-2019, In : Breast Cancer Research and Treatment. 178, 3, p. 665-681 17 p.

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  • Validation of the online prediction model CancerMath in the Dutch breast cancer population

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DOI

  • Liza A Hoveling
  • Marissa C van Maaren
  • Tom Hueting
  • Luc J A Strobbe
  • Mathijs P Hendriks
  • Gabe S Sonke
  • Sabine Siesling

PURPOSE: CancerMath predicts the expected benefit of adjuvant systemic therapy on overall (OS) and breast cancer-specific survival (BCSS). Here, CancerMath was validated in Dutch breast cancer patients.

METHODS: All operated women diagnosed with stage I-III primary invasive breast cancer in 2005 were identified from the Netherlands Cancer Registry. Calibration was assessed by comparing 5- and 10-year predicted and observed OS/BCSS using χ2 tests. A difference > 3% was considered as clinically relevant. Discrimination was assessed by area under the receiver operating characteristic (AUC) curves.

RESULTS: Altogether, 8032 women were included. CancerMath underestimated 5- and 10-year OS by 2.2% and 1.9%, respectively. AUCs of 5- and 10-year OS were both 0.77. Divergence between predicted and observed OS was most pronounced in grade II, patients without positive nodes, tumours 1.01-2.00 cm, hormonal receptor positive disease and patients 60-69 years. CancerMath underestimated 5- and 10-year BCSS by 0.5% and 0.6%, respectively. AUCs were 0.78 and 0.73, respectively. No significant difference was found in any subgroup.

CONCLUSION: CancerMath predicts OS accurately for most patients with early breast cancer although outcomes should be interpreted with care in some subgroups. BCSS is predicted accurately in all subgroups. Therefore, CancerMath can reliably be used in (Dutch) clinical practice.

Original languageEnglish
Pages (from-to)665-681
Number of pages17
JournalBreast Cancer Research and Treatment
Volume178
Issue number3
Publication statusPublished - Dec-2019
Externally publishedYes

    Keywords

  • Aged, Area Under Curve, Breast Neoplasms/mortality, Decision Support Techniques, Female, Humans, Middle Aged, Models, Statistical, Neoplasm Staging, Netherlands/epidemiology, Prognosis, Registries, Survival Analysis

ID: 124746243