ESTRO 2024 - Abstract Book

S5436

Radiobiology - Tumour biology

ESTRO 2024

2910

Digital Poster

Metabolomic profiles associated with radiation therapy in local and metastatic lung cancer patients

Wei Meng 1,2 , Rui Xu 3 , Eric Miller 1,2 , Xiaowei Sun 3 , Jennifer Thurmond 1 , Joshua Palmer 1,2 , Dominic DiCostanzo 1,2 , Shiqi Zhang 3 , Joseph P McElroy 4,2 , Amy Webb 4 , Jaharul S Haque 1,2 , Jiangjiang Zhu 3,2 , Arnab Chakravarti 1,2 1 The Ohio State University, Radiation Oncology, Columbus, USA. 2 The Ohio State University, James Comprehensive Cancer Center, Columbus, USA. 3 The Ohio State University, Human Nutrition Program, Columbus, USA. 4 The Ohio State University, Center for Biostatistics, Columbus, USA

Purpose/Objective:

Lung cancer is associated with the most common cancer death for both men and women in the United States and worldwide. Radiation is used to treat a variety of lung malignancies. Metabolic reprogramming, controlling the cellular production of energy and building blocks, is one of the hallmarks of cancer cells. To systematically evaluate the metabolic impact of radiotherapy (RT) on patients with non-small cell lung cancer, we perform longitudinal metabolic profiling in a group of lung cancer patients.

Material/Methods:

Fifty-seven NSCLC patients consented, and their blood biospecimens were collected at four time points: before RT (TP1), one-third of RT (TP2), two-third of RT (TP3), and first follow-up after RT (TP4). LC-MS metabolomics analysis was performed to analyze the serum samples on an HPLC-Q-Exactive mass spectrometry system. Partial Least-Squares Discriminant Analysis (PLS-DA) was used to investigate the unique metabolites identified from serum samples.

Results:

Our results showed that metabolites in the blood samples did reflect the acute responses to RT. Changes in the levels of 23 metabolites achieved statistical significance when comparing TP1 (Time point 1, pre-treatment) with other time points. Notably, over half of the metabolites (12/23) were found to be fatty acids. Changes in 4 carboxylic acids, including fumaric acid, exhibited immediate responses to RT in the longitudinal analysis. The serum metabolite coumarin, an anticoagulants, had the highest inverse correlation at the TP1 with overall survival.

Conclusion:

Metabolic profiling using biofluids from patients undergoing RT can be potentially used to assess the radiation toxicity during and after treatment.

Keywords: metabolomics, lung cancer, radiotherapy