A Decision-Aid Model for Predicting Triple-Negative Breast Cancer ICI Response Based on Tumor Mutation Burden

A Decision-Aid Model for Predicting Triple-Negative Breast Cancer ICI Response Based on Tumor Mutation Burden

<b>Background:</b> Tumor mutation burden (TMB), a genomic biomarker, has proven to be a strong predictor of immunotherapy response but is not widely adopted. This study investigates the association between TMB and immune checkpoint inhibitors (ICIs) response in TNBC patients. <b>Me...

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Bibliographic Details
Main Authors: Houda Bendani, Nasma Boumajdi, Lahcen Belyamani, Azeddine Ibrahimi
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:BioMedInformatics
Subjects:
triple-negative breast cancer
tumor mutation burden
machine learning
histological features
genomic biomarkers
immunotherapy response
Online Access:https://www.mdpi.com/2673-7426/5/1/9
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