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Background <p>Metabolic reprogramming is a significant hallmark of NK/T-cell lymphoma (NKTCL). A comprehensive analysis of the alterations in the metabolic landscape of NKTCL is crucial for facilitating early non-invasive screening and providing new therapeutic strategies.</p> Methods <p>In this study, we employed a non-targeted approach using liquid chromatography-high-resolution mass spectrometry (LC-HRMS) to analyze the plasma of 92 NKTCL patients and 28 healthy controls, comparing the metabolic profiles of both groups.</p> Results <p>We found significant differences in the plasma metabolic landscape between NKTCL patients and healthy individuals. The differential metabolites were primarily enriched in purine metabolism, arginine and proline metabolism, pyrimidine metabolism, and arginine biosynthesis pathways. Three of these metabolites were used to construct a diagnostic model, demonstrating good diagnostic and therapeutic efficacy.</p> Conclusions <p>Utilizing LC-HRMS for non-targeted metabolomics can aid in the early screening of NKTCL and provide new therapeutic insights and theoretical foundations.</p>

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Plasma untargeted metabolomics reveals the metabolic landscape of NKTCL and aids in liquid biopsy for disease detection

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年12月18日

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  • Siyu Qian,
  • Yue Zhang,
  • Mingzhi Zhang,
  • Qingjiang Chen,
  • Xudong Zhang

摘要

Background

Metabolic reprogramming is a significant hallmark of NK/T-cell lymphoma (NKTCL). A comprehensive analysis of the alterations in the metabolic landscape of NKTCL is crucial for facilitating early non-invasive screening and providing new therapeutic strategies.

Methods

In this study, we employed a non-targeted approach using liquid chromatography-high-resolution mass spectrometry (LC-HRMS) to analyze the plasma of 92 NKTCL patients and 28 healthy controls, comparing the metabolic profiles of both groups.

Results

We found significant differences in the plasma metabolic landscape between NKTCL patients and healthy individuals. The differential metabolites were primarily enriched in purine metabolism, arginine and proline metabolism, pyrimidine metabolism, and arginine biosynthesis pathways. Three of these metabolites were used to construct a diagnostic model, demonstrating good diagnostic and therapeutic efficacy.

Conclusions

Utilizing LC-HRMS for non-targeted metabolomics can aid in the early screening of NKTCL and provide new therapeutic insights and theoretical foundations.