Background: Early cancer detection remains a critical challenge in clinical oncology, requiring further development of innovative diagnostic methods with improved sensitivity and specificity. This study addresses the issue by investigating the potential of exhaled air metabolome analysis, using highly porous carbon material for sample collection, as a promising approach for the early diagnosis of laryngeal cancer. Volatile organic compounds (VOCs) present in exhaled breath are known to reflect underlying metabolic changes. This research explores the feasibility of using VOC-derived metabolomic signatures as non-invasive biomarkers for cancer detection.Methods: The primary objective was to evaluate exhaled air metabolome analysis as a diagnostic tool for individuals at risk of respiratory tract malignancies. The study involved 36 participants, including 13 patients diagnosed with laryngeal cancer and 23 healthy individuals serving as a control group. Breath samples were collected using a highly porous carbon material, selected for its superior sorption properties, enabling efficient capture and stabilization of VOCs. These samples were subsequently analyzed using gas chromatography-mass spectrometry (GC-MS) to identify and compare VOC patterns between the two groups.Results: Preliminary analysis revealed apparent differences in VOC profiles between cancer patients and healthy individuals, with cancer patients exhibiting elevated peak intensities for specific metabolites such as diethyl phthalate, nonadecane, and trimethyl-dodecane. Multivariate analysis using principal component analysis (PCA) demonstrated separation between the two groups, reflecting systematic differences in exhaled VOC signatures.Conclusions: This initial study supports the potential of breath VOC profiling for laryngeal cancer detection, laying the groundwork for further validation and refinement of this diagnostic approach. The use of porous carbon material facilitated efficient VOC capture, supporting its role in non-invasive breath analysis.
背景：早期癌症检测仍是临床肿瘤学中的关键挑战，亟需开发具有更高灵敏度和特异性的创新诊断方法。本研究通过探索呼出气体代谢组分析的潜力，采用高孔隙率碳材料进行样本采集，为喉癌早期诊断提供了一种前景广阔的新途径。已知呼出气体中的挥发性有机化合物（VOCs）能够反映潜在的代谢变化。本研究旨在探讨利用VOCs衍生的代谢组学特征作为癌症检测非侵入性生物标志物的可行性。 方法：本研究主要目标是评估呼出气体代谢组分析作为呼吸道恶性肿瘤高风险人群诊断工具的潜力。研究纳入36名参与者，包括13名确诊喉癌患者和23名健康对照者。采用具有优异吸附性能的高孔隙率碳材料采集呼吸样本，该材料能高效捕获并稳定VOCs。随后使用气相色谱-质谱联用技术对样本进行分析，以识别和比较两组间的VOCs谱图差异。 结果：初步分析显示癌症患者与健康个体的VOCs谱图存在明显差异，癌症患者特定代谢物（如邻苯二甲酸二乙酯、十九烷和三甲基十二烷）的峰强度显著升高。通过主成分分析进行的多变量分析表明两组样本能够有效分离，反映了呼出气体VOCs特征的系统性差异。 结论：这项初步研究证实了呼吸VOCs谱图分析在喉癌检测中的应用潜力，为后续诊断方法的验证与优化奠定了基础。多孔碳材料的使用促进了VOCs的高效捕获，有力支持了其在非侵入性呼吸分析中的应用价值。
肿瘤(癌症)患者之家