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Microbiome and metabolome dynamics during radiotherapy for prostate cancer

代谢组 前列腺癌 毒性 放射治疗 内科学 微生物群 医学 肿瘤科 生物 癌症 生物信息学 代谢物
作者
Willeke Danckaert,Mathieu Spaas,Nora Sundahl,Aurélie De Bruycker,Valérie Fonteyne,Ellen De Paepe,Carlos De Wagter,Lynn Vanhaecke,Piet Ost
出处
期刊:Radiotherapy and Oncology [Elsevier BV]
卷期号:189: 109950-109950 被引量:4
标识
DOI:10.1016/j.radonc.2023.109950
摘要

Background Prostate cancer patients treated with radiotherapy are susceptible to acute gastrointestinal (GI) toxicity due to substantial overlap of the intestines with the radiation volume. Due to their intimate relationship with GI toxicity, faecal microbiome and metabolome dynamics during radiotherapy were investigated. Material & methods This prospective study included 50 prostate cancer patients treated with prostate (bed) only radiotherapy (PBRT) (n = 28) or whole pelvis radiotherapy (WPRT) (n = 22) (NCT04638049). Longitudinal sampling was performed prior to radiotherapy, after 10 fractions, near the end of radiotherapy and at follow-up. Patient symptoms were dichotomized into a single toxicity score. Microbiome and metabolome fingerprints were analyzed by 16S rRNA gene sequencing and ultra-high-performance liquid chromatography hybrid high-resolution mass spectrometry, respectively. Results The individual α-diversity did not significantly change over time. Microbiota composition (β-diversity) changed significantly over treatment (PERMANOVA p-value = 0.03), but there was no significant difference in stability when comparing PBRT versus WPRT. Levels of various metabolites were significantly altered during radiotherapy. Baseline α-diversity was not associated with any toxicity outcome. Based on the metabolic fingerprint, no natural clustering according to toxicity profile could be achieved. Conclusions Radiation dose and treatment volume demonstrated limited effects on microbiome and metabolome fingerprints. In addition, no distinctive signature for toxicity status could be established. There is an ongoing need for toxicity risk stratification tools for diagnostic and therapeutic purposes, but the current evidence implies that the translation of metabolic and microbial biomarkers into routine clinical practice remains challenging.
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