Author = Mahdi Hazratgholi

The Influence of Stereotactic Body Radiotherapy (SBRT) on Biomarker Profiles in Lung Cancer: A Detailed Overview

https://doi.org/10.22034/thr.2025.236663

Babak Olia, Karomat Sobirova, Masharipova Ravqat, Madrimov Javoxir Islombek o'g'li, Niginabonu Khajiqurbonova, Fayzullayev Umidjon O'ktamovich, Ulliyeva Rayxon, Ataniyazov Aybek, Mahdi Hazratgholi

Abstract Background: Stereotactic Body Radiation Therapy (SBRT) represents the standard treatment for inoperable early-stage non-small cell lung cancer (NSCLC) and is increasingly utilized for oligometastatic disease. Its distinct radiobiological profile, involving high doses per fraction, triggers complex tumor-killing effects and systemic biological reactions not fully detectable through conventional imaging.
Objective: This review aims to summarize and critically assess current evidence regarding dynamic alterations in circulating, tissue, and imaging biomarkers after SBRT for lung cancer, and to explore their clinical significance.
Methods: A narrative synthesis of scientific literature from PubMed, Scopus, and Google Scholar was conducted, focusing on studies published between 2005 and 2024. Key search terms included "SBRT," "SABR," "lung cancer," "biomarker," "ctDNA," "immunotherapy," "cytokines," and "radiation pneumonitis."
Results: SBRT prompts a rapid, biphasic shift in tumor-derived biomarkers such as circulating tumor DNA (ctDNA), characterized by an initial post-treatment surge followed by reduction in responders. It significantly influences the immune system, inducing immunogenic cell death, expanding tumor-specific T-cell populations, and increasing checkpoint molecule expression like PD-L1. Additionally, SBRT modifies levels of cytokines (e.g., IL-6, TGF-β) and angiogenic factors (e.g., VEGF), which correlate with both treatment effectiveness and side effects like radiation-induced lung injury. Certain genetic polymorphisms also appear promising for predicting toxicity risk.
Conclusion: SBRT induces a dynamic and multifaceted change in the biomarker profile of lung cancer patients. These biomarkers offer considerable potential for personalizing treatment, predicting outcomes, monitoring response, and rationally planning combination therapies, especially with immunotherapy. Future prospective and validated studies are necessary to integrate these findings into clinical practice.

The Evolving Relationship: Impact of Combined Radiotherapy and Temozolomide Treatment on Critical Biomarkers in Glioblastoma Multiforme Patients; A Comprehensive Analysis

https://doi.org/10.22034/thr.2025.236676

Babak Olia, Feruza Ruzimova, Atajanov Adilbek Yuldashevich, Madrimov Javoxir Islombek o'g'li, Niginabonu Khajiqurbonova, Fayzullayev Umidjon O‘Ktamovich, Xudoynazarova Dilnura, Jalolbek Doschanov, Mahdi Hazratgholi

Abstract Background: The established first-line treatment for newly diagnosed Glioblastoma Multiforme (GBM) involves maximal surgical removal of the tumor, followed by a regimen of radiotherapy (RT) together with concurrent and maintenance temozolomide (TMZ) chemotherapy. Patient response to this combined approach varies widely and is closely associated with the tumor's molecular characteristics.
Objective: This analysis compiles current research on how the RT/TMZ combination modifies crucial GBM biomarkers over time, focusing on therapy-induced alterations rather than their initial prognostic significance.
Methods: A systematic review of literature from January 2000 to July 2024 was performed using PubMed, Scopus, and Web of Science. Search keywords included "glioblastoma," "radiotherapy," "temozolomide," "MGMT," "IDH," "biomarker," and related terms. Emphasis was placed on clinical trials and key preclinical studies.
Results: The RT/TMZ protocol imposes significant selective pressure, dynamically influencing GBM biomarkers. MGMT promoter methylation is the primary predictor of TMZ efficacy, but treatment often leads to the expansion of MGMT-active, resistant tumor clones at recurrence. IDH1/2 mutations are strong prognostic indicators, and their associated metabolic changes may increase tumor sensitivity to DNA-damaging therapies. Treatment substantially reshapes the tumor immune microenvironment; RT can stimulate anti-tumor immune responses but also increase PD-L1 expression, while TMZ often causes severe lymphocyte depletion. Additionally, therapy promotes the selection of cells with enhanced DNA damage repair mechanisms and activates survival pathways such as EGFR, fostering treatment resistance.
Conclusion: RT and TMZ induce continuous, adaptive changes in GBM biomarkers. Recognizing this dynamic process is essential for personalizing treatment, assessing response, and developing new combination therapies to combat resistance.