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Updated: Feb 19, 2026
Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
Published on: May 17, 2019
Development of a novel prognostic score for breast cancer patients using mRNA expression of CHAC1
Beate Jahn1, Marjan Arvandi1, Ursula Rochau1,2
1Institute of Public Health, Medical Decision Making & Health Technology Assessment, Department of Public Health, Health Services Research & Health Technology Assessment, UMIT - University for Health Sciences, Medical Informatics & Technology, Hall in Tirol, Austria.
Aim:
To develop a prognostic score for primary breast cancer patients integrating conventional predictors and the novel biomarker CHAC1 to aid adjuvant chemotherapy decisions.
Patients & Methods:
A prognostic score for overall survival was developed using: conventional predictors from a dataset of 1777 patients and the weight of CHAC1 mRNA expression from an independent dataset of 106 patients using multivariate Cox regression.
Results:
The new score includes: CHAC1 mRNA expression, age, tumor size, HER2 neu status, lymph node status and degree of malignancy. Using a cut-off value of 11 score points, 10-year survival was 82% in low-risk (n = 34) and 43% in high-risk patients (n = 72). The addition of CHAC1 resulted in 16% reclassification.
Conclusion:
Including CHAC1 in prognostic prediction may aid (and change) personalized treatment selection.
