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Radiation-induced Non-targeted Effect and Carcinogenesis; Implications in Clinical Radiotherapy
R Yahyapour1, A Salajegheh2, A Safari3
1School of Medicine, Jiroft University of Medical Sciences, Jiroft, Iran.
The bystander effect in radiotherapy, where non-irradiated cells are affected, is a key factor in secondary cancer risk. Understanding this phenomenon and its influencing factors can help reduce cancer incidence after treatment.
Area of Science:
- Radiobiology
- Radiation Oncology
- Cancer Research
Background:
- The bystander effect, or non-targeted effect, influences genetic consequences in non-irradiated cells.
- This phenomenon is a significant factor in secondary cancer development following ionizing radiation exposure.
- Radiotherapy, while crucial for cancer treatment, carries a risk of secondary cancer induction.
Purpose of the Study:
- To review the evidence for carcinogenesis related to non-targeted effects in radiotherapy.
- To examine physical and biological factors influencing the risk of secondary cancers induced by bystander effects.
- To inform strategies for reducing secondary cancer incidence and improving radiotherapy outcomes.
Main Methods:
- Literature review focusing on radiobiology and radiation oncology.
- Analysis of studies investigating genetic consequences of the bystander effect.
- Examination of factors such as radiation LET, dose, dose rate, fractionation, tissue type, and patient gender.
Main Results:
- The bystander effect plays a critical role in the genetic alterations of non-irradiated cells.
- Factors like radiation type, dose, and biological characteristics influence the risk of radiation-induced secondary cancers.
- Understanding these factors is essential for mitigating long-term risks associated with radiotherapy.
Conclusions:
- The bystander effect is a crucial consideration in radiation oncology for minimizing secondary cancer risks.
- Identifying and controlling influencing factors can enhance radiotherapy's safety and effectiveness.
- This knowledge can lead to improved patient quality of life and treatment cost-effectiveness.
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