Paper ID: 2501.04724 • Published Jan 4, 2025
Guiding Treatment Strategies: The Role of Adjuvant Anti-Her2 Neu Therapy and Skin/Nipple Involvement in Local Recurrence-Free Survival in Breast Cancer Patients
Joe Omatoi, Abdul M Mohammed, Dennis Trujillo
TL;DR
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This study explores how causal inference models, specifically the Linear
Non-Gaussian Acyclic Model (LiNGAM), can extract causal relationships between
demographic factors, treatments, conditions, and outcomes from observational
patient data, enabling insights beyond correlation. Unlike traditional
randomized controlled trials (RCTs), which establish causal relationships
within narrowly defined populations, our method leverages broader observational
data, improving generalizability. Using over 40 features in the Duke MRI Breast
Cancer dataset, we found that Adjuvant Anti-Her2 Neu Therapy increased local
recurrence-free survival by 169 days, while Skin/Nipple involvement reduced it
by 351 days. These findings highlight the therapy's importance for
Her2-positive patients and the need for targeted interventions for high-risk
cases, informing personalized treatment strategies.