Sándor Gyöngyvér Orsolya, Farkas Gyöngyi, Székely Gábor, Ágoston Péter, Jorgo Kliton, Gesztesi László, Major Tibor, Pesznyák Csilla, Herein András, Stelczer Gábor, Mihály Dalma, Fröhlich Georgina, Jurányi Zsolt, Takácsi-Nagy Zoltán, Polgár Csaba, Kocsis Zsuzsa S
Department of Radiobiology and Diagnostic Onco-Cytogenetics, Centre of Radiotherapy, National Institute of Oncology, 1122, Ráth György utca 7-9, Budapest, Hungary.
National Institute of Oncology, National Tumor Biology Laboratory, Budapest, Hungary.
Sci Rep. 2025 Jan 9;15(1):1516. doi: 10.1038/s41598-024-81450-7.
Due to the better survival of patients with tumorous diseases, it is increasingly important to predict the side effects of radiotherapy, for which the Radiation-Induced Lymphocyte Apoptosis (RILA) method is proving to be effective in multicentric studies. Prostate cancer is the leading cause of cancer-related deaths among men worldwide, which is usually treated with radiotherapy. We recruited 49 patients with localized prostate cancer and performed RILA measurements before radiotherapy. Patients were treated with CyberKnife (35-40 Gy) or high-dose-rate brachytherapy (1 × 21 Gy). We performed chromosome aberration test for five years and graded side effects, IPSS and QoL questionnaire scores were recorded. We found that RILA% correlated with the IPSS increase (p = 0.0016, r=-0.44), which was confirmed with negative binomial regression (p = 0.0013). The negative predictive value for severe urinary side effects according to the IPSS questionnaire was 87.9% at the lower tertile of RILA values. Chromosome aberrations also correlated with side effects, but when we built models including variables of baseline and treatment characteristics of the patients, RILA, and chromosome aberrations, only RILA predicted a late increase in IPSS score (p < 0.0001, adjusted R = 68%). The RILA method was shown to be predictive of urinary side effects especially of patient-reported outcomes.
由于肿瘤疾病患者的生存率提高，预测放疗副作用变得越来越重要，在多中心研究中，辐射诱导淋巴细胞凋亡（RILA）方法已被证明是有效的。前列腺癌是全球男性癌症相关死亡的主要原因，通常采用放疗进行治疗。我们招募了49例局限性前列腺癌患者，并在放疗前进行了RILA测量。患者接受了射波刀（35 - 40 Gy）或高剂量率近距离放疗（1×21 Gy）。我们进行了为期五年的染色体畸变测试并对副作用进行分级，记录了国际前列腺症状评分（IPSS）和生活质量（QoL）问卷得分。我们发现RILA%与IPSS增加相关（p = 0.0016，r = -0.44），负二项回归证实了这一点（p = 0.0013）。根据IPSS问卷，在RILA值较低三分位数时，严重泌尿系统副作用的阴性预测值为87.9%。染色体畸变也与副作用相关，但当我们建立包含患者基线和治疗特征、RILA及染色体畸变变量的模型时，只有RILA能预测IPSS评分的后期增加（p < 0.0001，调整后R = 68%）。结果表明，RILA方法可预测泌尿系统副作用，尤其是患者报告的结果。
