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Poster Communications Year : 2022

Prediction of Oncotype DX using DRFs

Abstract

Oncotype DX (ODX) is a multi-gene expression signature for breast cancer that provides prognostic and predictive breast cancer recurrence information for estrogen receptor (ER)-positive and HER2 negative patients. This test can predict if a chemotherapy treatment would be beneficial. However, this test is expensive and several studies have shown its link with certain clinico-pathological data. The result of the test is a score between 0 and 100 and guides clinicians regarding prescription of chemotherapy (e.g. for score higher than 25). Aim: Predict the ODX score based on histopathological variables. Proposed methodology: Probabilistic forecast using Distributional Regression Forest (DRF; [1])
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Dates and versions

hal-03894286 , version 1 (12-12-2022)

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  • HAL Id : hal-03894286 , version 1

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Romain Pic, Zeina Al Masry, Clément Dombry, Christine Devalland. Prediction of Oncotype DX using DRFs. Journées Math Bio Santé 2022, Oct 2022, Besançon, France. . ⟨hal-03894286⟩
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