Abstract
Breast cancer remains one of the most common malignancies among women worldwide, with recurrence remaining a major clinical challenge. Despite various treatment efforts, the mortality rate from breast cancer remains high, particularly among patients with worse clinical and molecular conditions. This study aims to identify factors influencing the survival of breast cancer patients using the Cox proportional hazards model. The study analyzes clinical and molecular data of breast cancer patients to identify key risk factors affecting Disease Recurrence-Free Survival (DRFS). Analysis was conducted using Kaplan-Meier, the Log Rank test, and the Cox proportional hazards model. The results showed that nodal status, tumor stage, estrogen receptor (ER) status, Genomic Grade Index (GGI), and pathological complete response (pCR) were significantly associated with Disease Recurrence-Free Survival (DRFS). Cox proportional hazards analysis demonstrated that patients with residual disease had a substantially higher risk of recurrence, whereas patients without lymph node involvement, with smaller tumors, ER-positive status, and low GGI exhibited lower recurrence risk. These findings suggest that treatment response, nodal status, tumor burden, and molecular characteristics play important roles in predicting recurrence among breast cancer patients.
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Recommended Citation
Putri, Dwi Cahyaning; Prabaningrum, Veny; and Arifin, Samsul
(2026)
"Identification of Prognostic Factors for Disease Recurrence-Free Survival (DRFS) in Breast Cancer Patients Using the Cox Proportional Hazards Model,"
Jurnal Biostatistik, Kependudukan, dan Informatika Kesehatan: Vol. 6:
No.
2, Article 3.
DOI: 10.7454/bikfokes.v6i2.1139
Available at:
https://scholarhub.ui.ac.id/bikfokes/vol6/iss2/3
