Assessment of the predictive power the radiation-induced lymphocyte apoptosis method in prostate cancer patients

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<sup>2</sup> = 68%). The RILA method was shown to be predictive of urinary side effects especially of patient-reported outcomes.

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Publication Details

Journal
Scientific Reports
Published
2025-01-09
DOI
https://doi.org/10.1038/s41598-024-81450-7
Citations
1
Primary Topic
Prostate Cancer Treatment and Research
Type
article
Field-Weighted Citation Impact
1.52

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article

Assessment of the predictive power the radiation-induced lymphocyte apoptosis method in prostate cancer patients

Péter Ágoston, Zoltán Takácsi‐Nagy, Csilla Pesznyák, Csaba Polgár et al.
1 citations
Scientific Reports
Prostate Cancer Treatment and Research
1.52
article

Assessment of the predictive power the radiation-induced lymphocyte apoptosis method in prostate cancer patients

Péter Ágoston, Zoltán Takácsi‐Nagy, Csilla Pesznyák, Csaba Polgár, Kliton Jorgo, Georgina Fröhlich, László Gesztesi, Gyöngyvér Orsolya Sándor, Zsolt Jurányi, Gábor Stelczer, Dalma Mihály, Zsuzsa S. Kocsis, Tibor Major, András Herein, Gábor Székely, Gyöngyi Farkas
article en
1 citations

Abstract

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<sup>2</sup> = 68%). The RILA method was shown to be predictive of urinary side effects especially of patient-reported outcomes.

Scientific ReportsVol. 15(1)
Semmelweis University (HU), Eötvös Loránd University (HU), National Institute of Oncology (HU)
Nemzeti Kutatási, Fejlesztési és Innovaciós Alap, National Research, Development and Innovation Office
Good health and well-being
Openalex Percentile: Top 23%
Prostate Cancer Treatment and Research
1.52
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