K-RAS Associated Gene-Mutation-Based Algorithm for Prediction of Treatment Response of Patients with Subtypes of Breast Cancer and Especially Triple-Negative Cancer

K-RAS Associated Gene-Mutation-Based Algorithm for Prediction of Treatment Response of Patients with Subtypes of Breast Cancer and Especially Triple-Negative Cancer

Purpose: There is an urgent need for developing new biomarker tools to accurately predict treatment response of breast cancer, especially the deadly triple-negative breast cancer. We aimed to develop gene-mutation-based machine learning (ML) algorithms as biomarker classifiers to predict treatment r...

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Bibliographic Details
Main Authors: Heather Johnson, Amjad Ali, Xuhui Zhang, Tianyan Wang, Athanasios Simoulis, Anette Gjörloff Wingren, Jenny L. Persson
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Cancers
Subjects:
machine learning algorithm
KRAS
breast cancer biomarkers
gene mutations
triple-negative breast cancer
luminal a breast cancer
Online Access:https://www.mdpi.com/2072-6694/14/21/5322

Internet

https://www.mdpi.com/2072-6694/14/21/5322

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