代谢组学
代谢组
计算生物学
生物标志物发现
背景(考古学)
前列腺癌
放射治疗
生物信息学
组学
医学
生物
精密医学
癌症
内科学
蛋白质组学
病理
遗传学
基因
古生物学
作者
Sinem Nalbantoğlu,Mones Abu‐Asab,Simeng Suy,Sean P. Collins,Hakima Amri
出处
期刊:Omics A Journal of Integrative Biology
[Mary Ann Liebert]
日期:2019-04-01
卷期号:23 (4): 214-223
被引量:11
标识
DOI:10.1089/omi.2019.0006
摘要
Metabolomics offers new promise for research on prostate cancer (PCa) and its personalized treatment. Metabolomic profiling of radiation-treated PCa patients is particularly important to reveal their new metabolomic status, and evaluate the radiation effects. In addition, bioinformatics-integrated metabolomics-based approaches for disease profiling and assessment of therapy could help develop precision biomarkers in a context of PCa. We report mass spectrometry-based untargeted (global) serum metabolomics findings from patients with PCa (n = 55) before and after treatment with stereotactic body radiation therapy (SBRT), and intensity-modulated radiation therapy (IMRT) with SBRT, and using parsimony phylogenetic analysis. Importantly, the radiation-treated serum metabolome of patients represented a unique robust cluster on a cladogram that was distinct from the pre-RT metabolome. The altered radiation responsive serum metabolome was defined by predominant aberrations in the metabolic pathways of nitrogen, pyrimidine, purine, porphyrin, alanine, aspartate, glutamate, and glycerophospholipid. Our findings collectively suggest that global metabolomics integrated with parsimony phylogenetics offer a unique and robust systems biology analytical platform for powerful unbiased determination of radiotherapy (RT)-associated biosignatures in patients with PCa. These new observations call for future translational research for evaluation of metabolomic biomarkers in PCa prognosis specifically, and response to radiation treatment broadly. Radiation metabolomics is an emerging specialty of systems sciences and clinical medicine that warrants further research and educational initiatives.
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