Near-infrared spectroscopy of blood plasma amino acids with chemometrics towards breast cancer discrimination

IF 5 2区医学 Q2 Medicine

Translational Oncology Pub Date : 2025-09-23 DOI:10.1016/j.tranon.2025.102542

Liying Zhu , Haizhi Li , Wen Qian , Chengcheng Li , Changyudong Huang , Yiqiong Zhang , Yunfeng Duan , Shuang Wang , Yongjie Xu , Jingzhi Zhang , Mi Liu , Xing Li , Shuyun Zhao , Wei Pan

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Abstract

Breast cancer (BC) is the most prevalent cancer type in women worldwide. BC cells need more amino acids to meet the demands of rapid proliferation. The present study focused on the role of near-infrared (NIR) spectroscopy in analyzing blood plasma samples of patients with BC to differentiate them from healthy controls. The possibility of quantitative detection of 20 amino acids in BC plasma by NIR spectroscopy was investigated. A total of 180 samples (from 80 patients with BC, 30 patients with benign breast disease and 70 healthy controls) were analyzed. Canonical correlation analysis was used to analyze the relationship between clinical biochemical parameters and the amino acid metabolic profile of patients with BC. In the study, plasma glutamine, histidine, threonine, proline and phenylalanine content of patients with BC was higher than that in plasma from healthy controls (P<0.05) based on NIR spectroscopy. There was an overall correlation (r=0.935) between three clinical parameters (age, albumin and total triglyceride) and four amino acids (glutamic acid, tyrosine, valine and lysine) in patients with BC. In this study, a quantitative and qualitative model was constructed, and this was used to detect plasma amino acids of patients with BC using NIR spectroscopy with good performance. It fully demonstrated the potential and advantages of NIR spectroscopy combined with chemometrics in BC research, which can provide a novel research strategy and technical platform for the study of plasma amino acid metabolism of BC and provide basic experimental for the clinical diagnosis and treatment of BC.

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血浆氨基酸近红外光谱与化学计量学在乳腺癌鉴别中的应用

乳腺癌（BC）是全世界女性中最常见的癌症类型。BC细胞需要更多的氨基酸来满足快速增殖的需要。本研究的重点是近红外光谱（NIR）在分析BC患者血浆样本以区分其与健康对照中的作用。研究了近红外光谱法定量检测BC血浆中20种氨基酸的可能性。共分析了180份样本（80例BC患者，30例乳腺良性疾病患者和70例健康对照）。采用典型相关分析分析BC患者临床生化指标与氨基酸代谢谱的关系。本研究中，近红外光谱显示，BC患者血浆中谷氨酰胺、组氨酸、苏氨酸、脯氨酸和苯丙氨酸含量高于健康对照组（P<0.05）。BC患者的3个临床参数（年龄、白蛋白和总甘油三酯）与4种氨基酸（谷氨酸、酪氨酸、缬氨酸和赖氨酸）之间存在总体相关性（r=0.935）。本研究建立了定量和定性模型，并将其用于近红外光谱检测BC患者血浆氨基酸，具有良好的性能。充分展示了近红外光谱与化学计量学相结合在BC研究中的潜力和优势，可为BC血浆氨基酸代谢研究提供新的研究策略和技术平台，为BC的临床诊断和治疗提供基础实验。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Translational Oncology ONCOLOGY-

CiteScore

8.40

自引率

2.00%

发文量

314

审稿时长

54 days

期刊介绍： Translational Oncology publishes the results of novel research investigations which bridge the laboratory and clinical settings including risk assessment, cellular and molecular characterization, prevention, detection, diagnosis and treatment of human cancers with the overall goal of improving the clinical care of oncology patients. Translational Oncology will publish laboratory studies of novel therapeutic interventions as well as clinical trials which evaluate new treatment paradigms for cancer. Peer reviewed manuscript types include Original Reports, Reviews and Editorials.