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通过综合统计和网络分析探索结直肠癌和息肉病的血液代谢物特征

Exploration of Blood Metabolite Signatures of Colorectal Cancer and Polyposis through Integrated Statistical and Network Analysis.

作者信息

Di Cesare Francesca, Vignoli Alessia, Luchinat Claudio, Tenori Leonardo, Saccenti Edoardo

机构信息

Magnetic Resonance Center (CERM), University of Florence, 50019 Sesto Fiorentino, Italy.

Department of Chemistry "Ugo Schiff", University of Florence, 50019 Sesto Fiorentino, Italy.

出版信息

Metabolites. 2023 Feb 17;13(2):296. doi: 10.3390/metabo13020296.

Abstract

Colorectal cancer (CRC), one of the most prevalent and deadly cancers worldwide, generally evolves from adenomatous polyps. The understanding of the molecular mechanisms underlying this pathological evolution is crucial for diagnostic and prognostic purposes. Integrative systems biology approaches offer an optimal point of view to analyze CRC and patients with polyposis. The present study analyzed the association networks constructed from a publicly available array of 113 serum metabolites measured on a cohort of 234 subjects from three groups (66 CRC patients, 76 patients with polyposis, and 92 healthy controls), which concentrations were obtained via targeted liquid chromatography-tandem mass spectrometry. In terms of architecture, topology, and connectivity, the metabolite-metabolite association network of CRC patients appears to be completely different with respect to patients with polyposis and healthy controls. The most relevant nodes in the CRC network are those related to energy metabolism. Interestingly, phenylalanine, tyrosine, and tryptophan metabolism are found to be involved in both CRC and polyposis. Our results demonstrate that the characterization of metabolite-metabolite association networks is a promising and powerful tool to investigate molecular aspects of CRC.

摘要

结直肠癌(CRC)是全球最常见且致命的癌症之一,通常由腺瘤性息肉演变而来。了解这种病理演变背后的分子机制对于诊断和预后至关重要。整合系统生物学方法为分析CRC和息肉病患者提供了一个最佳视角。本研究分析了从一组234名受试者(来自三组:66名CRC患者、76名息肉病患者和92名健康对照)的113种血清代谢物的公开可用阵列构建的关联网络,这些代谢物的浓度通过靶向液相色谱 - 串联质谱法获得。在结构、拓扑和连通性方面,CRC患者的代谢物 - 代谢物关联网络与息肉病患者和健康对照相比似乎完全不同。CRC网络中最相关的节点是那些与能量代谢相关的节点。有趣的是,发现苯丙氨酸、酪氨酸和色氨酸代谢在CRC和息肉病中都有涉及。我们的结果表明,代谢物 - 代谢物关联网络的表征是研究CRC分子方面的一种有前途且强大的工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4904/9965766/7b43cfcfe4d5/metabolites-13-00296-g001.jpg

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