Abstract P6-09-48: Development of a predictive model by gene expression profiles for pathological CR after neoadjuvant chemotherapy in ER-positive/HER2-negative breast cancer
CONCLUSIONS: In this study we developed a decision treatment model for patients with DCIS based on Bayesian Decision Theory. The results were consistent with scientific evidence and clinical practice. Finally, we performed the computer implementation of the model in order to be used in routine clinical practice.DISCUSION: The model developed in the study is the first decision model that takes into account the uncertainty calculation based on the expected utility of each decision on recurrence-free survival for each patient.Citation Format: Fujiki Y, Yamamoto Y, Yamamoto-Ibusuki M, Goto R, Tomiguchi M, Sueta A, Takeshita T, Iwase H. Development of a predictive model by gene expression profiles for pathological CR after neoadjuvant chemotherapy in ER-positive/HER2-negative breast cancer [abstract]. In: Proceedings of the Thirty-Ninth Annual CTRC-AACR San Antonio Breast Cancer Symposium; 2016 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2017;77(4 Suppl):Abstract nr P6-09-48.
Source: Cancer Research - Category: Cancer & Oncology Authors: Y Fujiki, Y Yamamoto, M Yamamoto-Ibusuki, R Goto, M Tomiguchi, A Sueta, T Takeshita, H Iwase Tags: Poster Session Abstracts Source Type: research
More News: Breast Cancer | Breast Carcinoma | Cancer | Cancer & Oncology | Carcinoma | Carcinoma in Situ | Chemotherapy | Computers | DCIS (Ductal Carcinoma in Situ) | Ductal Carcinoma | Genetics | HER2 | Hormonal Therapy | Hormones | Information Technology | Mammography | Neoadjuvant Chemotherapy Therapy | Neoadjuvant Radiation Therapy | Neoadjuvant Therapy | Radiation Therapy | Study | Women