Journal Article

·2025 OPEN ACCESS

Transcriptome Analysis of the Effects of X-Ray Radiotherapy on Non-small-cell Lung Cancer Using Next-generation Sequencing

Serhat Aras , Tuğba Kul Köprülü , Burçin Erkal Çam YTU , Jülide Balkan , Esra Erdem , ESRA ÇIKLER , Altan Kara

In Vivo

Abstract

BACKGROUND/AIM: This study investigated the acute effects of flattening filter (FF) and flattening filter-free (FFF) beams on gene expression in non-small-cell lung cancer (NSCLC). MATERIALS AND METHODS: Thirty-six adult athymic nude mice were divided into five groups. The control group did not undergo any radiotherapy or treatment procedures, whereas in the lung cancer (LCa) group, a cancer model was created but not irradiated. LCa models received 20 Gy radiotherapy with FF at 400 MU/min, or with FFF at 1,000 or 1,800 MU/min dose rates. The mice were irradiated 20 days after A549 cancer cell-line implantation and sacrificed 48 h after irradiation for genetic analysis. RESULTS: Twelve genes were identified as being common across all radiotherapy groups. The expression of most of these genes changed as the dose rate increased. Seven of these genes were also common to the LCa and control groups. Three genes down-regulated in the untreated cancer group showed increased expression with higher dose rates in treated groups. Significant differences were observed in glutamatergic synapse, actin cytoskeleton regulation, and steroid synthesis in FF-400 and FFF-1000. The FFF-1800 group exhibited significant changes in RNA transport, actin cytoskeleton regulation, and phagosome-associated pathways. CONCLUSION: FFF beams induced more extensive and pronounced gene-expression changes compared to FF beams in NSCLC.

Keywords

Transcriptome Radiation therapy Lung cancer Cancer Computational biology DNA sequencing X-ray Cancer research Medicine Oncology Biology Internal medicine DNA Gene Genetics Physics Gene expression Optics

Subject Areas

Effects of Radiation Exposure ·Radiology, Nuclear Medicine and Imaging ·Health Sciences
Breast Cancer Treatment Studies ·Cancer Research ·Life Sciences
Cancer Research and Treatments ·Biotechnology ·Life Sciences

OpenAlex SDG Match

SDGs auto-classified by OpenAlex (score ≥ 0.4 shown).

Good health and well-being 70%