Litcius/Paper detail

Risk factors for radiation induced lymphopenia in patients with breast cancer receiving adjuvant radiotherapy

Fang Chen, Hao Yu, Hong Zhang, Yaqing Nong, Qian Wang, Haiman Jing, Ying Han, Junjie Wu, Zheng Zhou, Yang Li, Zhiyuan Xu, Yaya Liu, Pingfu Fu, Jian‐Yue Jin, Victor Hsue, Amy Chang, Feng‐Ming Kong

2021Annals of Translational Medicine28 citationsDOIOpen Access PDF

Abstract

BACKGROUND: This study aimed to investigate radiation-induced lymphopenia and its potential risk factors in patients with breast cancer receiving adjuvant radiotherapy. METHODS: Breast cancer patients received adjuvant radiotherapy (RT) at our hospital with peripheral lymphocyte counts (PLC) at pre-and immediately after RT (post-RT) were eligible. The primary endpoints were any grade of lymphopenia post-RT and nadir-PLC/pre-PLC <0.8. Patient characteristics, tumor factors, and treatment factors were collected for risk assessment. Data are presented as mean and 95% confidence interval (CI) unless otherwise specified. Matched analysis was used to compare the statistical significance between different RT techniques. RESULTS: /L post-RT (P<0.001). At the end of RT, 60.5% of patients had lymphopenia. Univariate and multivariable logistic analyses showed that RT technique involving RapidArc, mean lung dose, and chemotherapy were significant risk factors (P<0.05) for lymphopenia. RT technique was the only significant risk factor (P<0.05) for nadir-PLC/pre-PLC <0.8. Patients treated with RapidArc had a significantly greater reduction of PLC along with greater V5 of the lungs, even after matching mean lung dose and radiated volume. CONCLUSIONS: Lymphopenia is common in patients with breast cancer after adjuvant RT. RT technique is the only significant factor for lymphopenia and nadir-PLC/pre-PLC <0.8, suggesting the significance of RT technique choice to minimize lymphopenia and improve treatment outcomes.

Topics & Concepts

MedicineBreast cancerRadiation therapyUnivariate analysisInternal medicineOncologyAdjuvantLung cancerConfidence intervalRisk factorStatistical significanceCancerMultivariate analysisInflammatory Biomarkers in Disease PrognosisHematological disorders and diagnosticsVenous Thromboembolism Diagnosis and Management