Evaluating Alterations in Breast Cancer Patients after Recovery Via A PET/CT-Assisted Metabolomics Approach.

Puerto Rico health sciences journal Pub Date : 2023-12-01
Adem Maman, Onur Senol
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Abstract

Objective: Breast cancer is a mortal disease that causes many deaths, especially in women. Improved therapies could contribute positively to survival rates. Metabolomics is an important tool for monitoring the alterations of several metabolites in clinical cases. This study aimed to develop a metabolomics model to observe (via mass spectroscopy) metabolic alterations in patients who suffered from breast cancer (BC), both before and after their recovery.

Materials and methods: Grades 1 and 2 invasive ductal carcinoma patients were evaluated based on their positron emission tomography/computed tomography results. Fourteen patients who had fully recovered from BC were subjected to metabolomics analysis. Plasma samples were extracted and analyzed via quadrupole time-of-flight mass tandem spectroscopy. A chemometrics analysis was performed in order to determine the statistically significant metabolites. All the metabolites were annotated via the mummichog algorithm.

Results and discussion: According to the data analysis, glucose, ornithine, phenyalanine, some vitamins, and metabolites in the fatty acid metabolism were statistically altered after recovery of each patient.

Conclusion: Untargeted metabolomics studies can be used to understand the etiopathogenesis of breast cancer, finding new biomarkers and alterations of metabolic pathways. After the tumor burden was removed, homeostasis was restored and the concentration of several metabolites began to normalize. This study elucidated the effects of breast cancer at the molecular level.

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通过 PET/CT 辅助代谢组学方法评估乳腺癌患者康复后的体征变化
目的:乳腺癌是一种致命疾病,会导致许多人死亡,尤其是女性。改进治疗方法有助于提高存活率。代谢组学是监测临床病例中多种代谢物变化的重要工具。本研究旨在开发一种代谢组学模型,(通过质谱)观察乳腺癌(BC)患者康复前后的代谢变化:根据正电子发射断层扫描/计算机断层扫描结果对 1 级和 2 级浸润性导管癌患者进行评估。14名已完全康复的患者接受了代谢组学分析。提取血浆样本并通过四极飞行时间质谱进行分析。为了确定具有统计学意义的代谢物,进行了化学计量学分析。所有代谢物都通过 mummichog 算法进行了注释:根据数据分析,葡萄糖、鸟氨酸、苯丙氨酸、一些维生素和脂肪酸代谢中的代谢物在每位患者康复后都发生了统计学变化:非靶向代谢组学研究可用于了解乳腺癌的发病机制,发现新的生物标志物和代谢途径的改变。肿瘤负荷被清除后,体内平衡得以恢复,多种代谢物的浓度开始趋于正常。这项研究从分子水平阐明了乳腺癌的影响。
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