Assessment of the predictive power the radiation-induced lymphocyte apoptosis method in prostate cancer patients
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 caus...
Saved in:
| Main Authors: | , , , , , , , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-01-01
|
| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-024-81450-7 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1841544791460937728 |
|---|---|
| author | Gyöngyvér Orsolya Sándor Gyöngyi Farkas Gábor Székely Péter Ágoston Kliton Jorgo László Gesztesi Tibor Major Csilla Pesznyák András Herein Gábor Stelczer Dalma Mihály Georgina Fröhlich Zsolt Jurányi Zoltán Takácsi-Nagy Csaba Polgár Zsuzsa S. Kocsis |
| author_facet | Gyöngyvér Orsolya Sándor Gyöngyi Farkas Gábor Székely Péter Ágoston Kliton Jorgo László Gesztesi Tibor Major Csilla Pesznyák András Herein Gábor Stelczer Dalma Mihály Georgina Fröhlich Zsolt Jurányi Zoltán Takácsi-Nagy Csaba Polgár Zsuzsa S. Kocsis |
| author_sort | Gyöngyvér Orsolya Sándor |
| collection | DOAJ |
| description | 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 R2 = 68%). The RILA method was shown to be predictive of urinary side effects especially of patient-reported outcomes. |
| format | Article |
| id | doaj-art-fe3007ca45f644bca900b907705075c5 |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-fe3007ca45f644bca900b907705075c52025-01-12T12:19:53ZengNature PortfolioScientific Reports2045-23222025-01-011511910.1038/s41598-024-81450-7Assessment of the predictive power the radiation-induced lymphocyte apoptosis method in prostate cancer patientsGyöngyvér Orsolya Sándor0Gyöngyi Farkas1Gábor Székely2Péter Ágoston3Kliton Jorgo4László Gesztesi5Tibor Major6Csilla Pesznyák7András Herein8Gábor Stelczer9Dalma Mihály10Georgina Fröhlich11Zsolt Jurányi12Zoltán Takácsi-Nagy13Csaba Polgár14Zsuzsa S. Kocsis15Department of Radiobiology and Diagnostic Onco-Cytogenetics, Centre of Radiotherapy, National Institute of OncologyDepartment of Radiobiology and Diagnostic Onco-Cytogenetics, Centre of Radiotherapy, National Institute of OncologyDepartment of Radiobiology and Diagnostic Onco-Cytogenetics, Centre of Radiotherapy, National Institute of OncologyCentre of Radiotherapy, National Institute of OncologyCentre of Radiotherapy, National Institute of OncologyCentre of Radiotherapy, National Institute of Oncology National Institute of Oncology, National Tumor Biology LaboratoryCentre of Radiotherapy, National Institute of Oncology National Institute of Oncology, National Tumor Biology LaboratoryCentre of Radiotherapy, National Institute of OncologyCentre of Radiotherapy, National Institute of OncologyCentre of Radiotherapy, National Institute of OncologyDepartment of Radiobiology and Diagnostic Onco-Cytogenetics, Centre of Radiotherapy, National Institute of Oncology National Institute of Oncology, National Tumor Biology Laboratory National Institute of Oncology, National Tumor Biology LaboratoryDepartment of Radiobiology and Diagnostic Onco-Cytogenetics, Centre of Radiotherapy, National Institute of OncologyAbstract 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 R2 = 68%). The RILA method was shown to be predictive of urinary side effects especially of patient-reported outcomes.https://doi.org/10.1038/s41598-024-81450-7 |
| spellingShingle | Gyöngyvér Orsolya Sándor Gyöngyi Farkas Gábor Székely Péter Ágoston Kliton Jorgo László Gesztesi Tibor Major Csilla Pesznyák András Herein Gábor Stelczer Dalma Mihály Georgina Fröhlich Zsolt Jurányi Zoltán Takácsi-Nagy Csaba Polgár Zsuzsa S. Kocsis Assessment of the predictive power the radiation-induced lymphocyte apoptosis method in prostate cancer patients Scientific Reports |
| title | Assessment of the predictive power the radiation-induced lymphocyte apoptosis method in prostate cancer patients |
| title_full | Assessment of the predictive power the radiation-induced lymphocyte apoptosis method in prostate cancer patients |
| title_fullStr | Assessment of the predictive power the radiation-induced lymphocyte apoptosis method in prostate cancer patients |
| title_full_unstemmed | Assessment of the predictive power the radiation-induced lymphocyte apoptosis method in prostate cancer patients |
| title_short | Assessment of the predictive power the radiation-induced lymphocyte apoptosis method in prostate cancer patients |
| title_sort | assessment of the predictive power the radiation induced lymphocyte apoptosis method in prostate cancer patients |
| url | https://doi.org/10.1038/s41598-024-81450-7 |
| work_keys_str_mv | AT gyongyverorsolyasandor assessmentofthepredictivepowertheradiationinducedlymphocyteapoptosismethodinprostatecancerpatients AT gyongyifarkas assessmentofthepredictivepowertheradiationinducedlymphocyteapoptosismethodinprostatecancerpatients AT gaborszekely assessmentofthepredictivepowertheradiationinducedlymphocyteapoptosismethodinprostatecancerpatients AT peteragoston assessmentofthepredictivepowertheradiationinducedlymphocyteapoptosismethodinprostatecancerpatients AT klitonjorgo assessmentofthepredictivepowertheradiationinducedlymphocyteapoptosismethodinprostatecancerpatients AT laszlogesztesi assessmentofthepredictivepowertheradiationinducedlymphocyteapoptosismethodinprostatecancerpatients AT tibormajor assessmentofthepredictivepowertheradiationinducedlymphocyteapoptosismethodinprostatecancerpatients AT csillapesznyak assessmentofthepredictivepowertheradiationinducedlymphocyteapoptosismethodinprostatecancerpatients AT andrasherein assessmentofthepredictivepowertheradiationinducedlymphocyteapoptosismethodinprostatecancerpatients AT gaborstelczer assessmentofthepredictivepowertheradiationinducedlymphocyteapoptosismethodinprostatecancerpatients AT dalmamihaly assessmentofthepredictivepowertheradiationinducedlymphocyteapoptosismethodinprostatecancerpatients AT georginafrohlich assessmentofthepredictivepowertheradiationinducedlymphocyteapoptosismethodinprostatecancerpatients AT zsoltjuranyi assessmentofthepredictivepowertheradiationinducedlymphocyteapoptosismethodinprostatecancerpatients AT zoltantakacsinagy assessmentofthepredictivepowertheradiationinducedlymphocyteapoptosismethodinprostatecancerpatients AT csabapolgar assessmentofthepredictivepowertheradiationinducedlymphocyteapoptosismethodinprostatecancerpatients AT zsuzsaskocsis assessmentofthepredictivepowertheradiationinducedlymphocyteapoptosismethodinprostatecancerpatients |