A multi-platform metabolomics reveals possible biomarkers for the early-stage esophageal squamous cell carcinoma,Analytica Chimica Acta

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A multi-platform metabolomics reveals possible biomarkers for the early-stage esophageal squamous cell carcinoma
Analytica Chimica Acta ( IF 5.7 ) Pub Date : 2022-06-08 , DOI: 10.1016/j.aca.2022.340038
Jinhui Zhao ₁ , Xinshu Zhao ₂ , Jiaying Yu ₁ , Siqi Gao ₁ , Mingjia Zhang ₁ , Tongshu Yang ₂ , Liyan Liu ₁

Affiliation

Background

Esophageal squamous cell carcinoma (ESCC) is one of the most prevalent types of upper gastrointestinal malignancies. This work aimed to identify potential biomarkers for early screening for ESCC and characterize the systemic metabolic disturbances underlying ESCC using multi-platform metabolomics analysis.

Methods

We divided 239 patients (the early-stage ESCC patients, n = 132; Healthy controls, n = 107) into discovery and validation sets after matching age and sex. Integrated statistical and multi-platform serum metabolomics analyses were used to screen and validate significant metabolites linked to ESCC patients.

Results

Multi-platform metabolomics analyses showed that amino acid and lipid metabolism were crucial in the etiology of ESCC. Five metabolites, tryptophan (Trp), citrulline, l-carnitine, lysine, and acetyl-carnitine, were selected as potential biomarkers to establish a diagnosis panel, which showed high accuracy in distinguishing ESCC patients from healthy controls (area under the receiver operating characteristic curve, 0.873, 95% confidence interval [CI]: 0.825–0.925).

Conclusions

This work laid the groundwork for understanding the etiology of ESCC. The diagnostic panel showed potential usefulness in early-stage ESCC diagnosis in clinical practice.

中文翻译：

多平台代谢组学揭示了早期食管鳞状细胞癌的可能生物标志物

背景

食管鳞状细胞癌（ESCC）是最常见的上消化道恶性肿瘤之一。这项工作旨在确定用于早期筛查 ESCC 的潜在生物标志物，并使用多平台代谢组学分析表征 ESCC 的全身代谢紊乱。

方法

在匹配年龄和性别后，我们将 239 名患者（早期 ESCC 患者，n = 132；健康对照组，n = 107）分为发现和验证集。综合统计和多平台血清代谢组学分析用于筛选和验证与 ESCC 患者相关的重要代谢物。

结果

多平台代谢组学分析表明，氨基酸和脂质代谢在 ESCC 的病因中至关重要。选择五种代谢物色氨酸 (Trp)、瓜氨酸、左旋肉碱、赖氨酸和乙酰肉碱作为潜在的生物标志物来建立诊断小组，该小组在区分 ESCC 患者和健康对照方面表现出很高的准确性（接受者操作特征下的区域）曲线, 0.873, 95% 置信区间 [CI]: 0.825–0.925)。