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Open AccessDOI: 10.3724/abbs.2025136Original Research

Metabolic analysis and identification of potential biomarkers of early-stage melanoma lung metastasis

🇨🇳 Original Chinese Title: Metabolic analysis and identification of potential biomarkers of early-stage melanoma lung metastasis

Chunying Gu¹,Hongyu Liu¹,Guangyu Jiang¹,Ying Lv¹,Jiafu Liu¹

Harbin Medical University

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Metabolic analysis and identification of potential biomarkers of early-stage melanoma lung metastasis
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Acta Biochimica et Biophysica Sinica
Published:2026Edition:Vol. 58, Issue 5 • pp. 1102-1118Citation:Chunying Gu et al. (2026), Acta Biochimica et Biophysica Sinica
Impact FactorPremier Chinese Biomedical Journal indexed in SinoBioData: Acta Biochimica et Biophysica Sinica (生物化学与生物物理学报).
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Key Takeaways & Executive Findings

  • • Platelet activation is a critical early event in melanoma lung metastasis, facilitating tumor cell survival. • NMR-based metabolomics reveals distinct metabolic alterations in lung tissues during early metastasis, particularly in energy and amino acid metabolism. • Methylxanthine and allantoin are identified as potential biomarkers for early detection of lung metastasis. • The study provides novel insights into early diagnostic strategies for metastatic cancer, potentially improving patient outcomes.
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Abstract

Tumor cells exhibit a notable ability to adapt to constantly changing microenvironments and possess distinct metabolic traits during metastasis. This study aims to establish a melanoma lung metastasis model in mice to elucidate the metabolic mechanisms involved in early-stage metastasis prior to treatment. The male C57BL/6 mice are divided into five groups based on time intervals of 6, 24, 72, and 120 h post-injection (SKCM-M groups) of melanoma cells, as well as a normal control group (NOR group). Our results demonstrate that platelet activation mainly occurs in the initial phases of metastasis to help tumor cells survive. NMR-based metabolomics analysis of mouse lung tissues identifies distinct metabolites and pathways associated with early-stage metastasis, revealing significant alterations in energy and amino acid metabolism during tumor progression. Further analysis indicates that methylxanthine and allantoin could serve as potential biomarkers for monitoring the early progression of tumor metastasis in cancer patients, providing novel insights into early diagnostic strategies for lung metastasis.

1. Introduction

Tumor metastasis is an extraordinarily complex and multifactorial phenomenon characterized by metabolic alterations across multiple organs and is intricately intertwined with diverse biological processes. Approximately 90% of cancer-related fatalities are caused by metastasis [1], with approximately 20% of cases presenting with distant metastasis at the time of clinical diagnosis [2]. Metastasis progression is intricate and comprises multiple steps, which are dependent not only on the intrinsic characteristics of tumor cells but also on their interaction with the surrounding microenvironment [3,4]. This interaction profoundly influences cancer progression and metastasis.

The viability of tumor cells in the bloodstream during metastasis is crucial, with tumor-educated platelets (TEPs) identified as functional cells by exhibiting a distinctive tumor-promoting phenotype. When platelets are triggered by tumor cells, they become activated and form a protective barrier around the tumor cells, helping tumor cells evade the host’s immune response [5]. Scientists postulate that tumor cell-induced platelet activation is a pivotal factor in the process of hematogenous metastasis in cancer [6,7]. One mechanism involves the interaction between the podoplanin protein (PDPN) on the surfaces of various tumor cells and the C-type lectin-like receptor 2 (CLEC-2) on platelets, which activates platelets and promotes tumor metastasis [8–10].

To survive and thrive in new organs, the metabolic characteristics of metastatic cells, including transcriptional regulation, translation, and enzyme utilization, are continually adjusted [11]. Additionally, many secondary tumors develop metabolic profiles distinct from those of primary tumors, enhancing their adaptation to the new environment [12]. Metabolism serves as the pivotal hub of cellular existence, intricately connecting various elements such as the microenvironment, phenotype, signal transduction, and genetic background [13,14]. Therefore, metabolic profiling analysis can provide deeper insights into the mechanisms and pathways underlying disease progression [15]. Metabolomics, a valuable tool for examining biological metabolic changes, offers theoretical and technical support for the early detection and treatment of diseases.

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Cite This Research Paper
Chunying Gu, Hongyu Liu, Guangyu Jiang, Ying Lv, Jiafu Liu (2026). Metabolic analysis and identification of potential biomarkers of early-stage melanoma lung metastasis. Acta Biochimica et Biophysica Sinica. https://doi.org/10.3724/abbs.2025136
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Frequently Asked Questions

What is the main objective of this study?

The study aims to establish a melanoma lung metastasis model in mice to elucidate the metabolic mechanisms involved in early-stage metastasis prior to treatment, and to identify potential biomarkers for early detection.

How was the melanoma lung metastasis model established?

Male C57BL/6 mice were divided into five groups based on time intervals of 6, 24, 72, and 120 hours post-injection of melanoma cells (SKCM-M groups), along with a normal control group (NOR group).

What analytical technique was used for metabolomics analysis?

NMR-based metabolomics analysis was performed on mouse lung tissues to identify distinct metabolites and pathways associated with early-stage metastasis.

What are the potential biomarkers identified in this study?

Methylxanthine and allantoin were identified as potential biomarkers for monitoring the early progression of tumor metastasis in cancer patients.

What is the significance of this research?

The research provides novel insights into early diagnostic strategies for lung metastasis, potentially improving early detection and treatment outcomes for cancer patients.

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