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May 20, 2026American Journal of Respiratory and Critical Care Medicine0 citations

B111-15 Use of Amino Acid Profiles From Bronchoalveolar Lavage as a Novel Diagnostic Approach for Non-Small Cell Lung Cancer

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ODO DanilevskayaVFV FrankevichYEY Esakov

Key Points

  • This research aims to identify differences in amino acid profiles in bronchoalveolar lavage fluid from patients with non-small cell lung cancer compared to healthy lungs.
  • Conducted metabolomic analysis of bronchoalveolar lavage fluid from 14 NSCLC patients using high-performance liquid chromatography - mass spectrometry.
  • Performed bronchoscopy to collect samples from both cancerous and healthy lung segments.
  • Developed a diagnostic model based on identified amino acid profiles, which was evaluated using Receiver Operating Characteristic (ROC) analysis.
  • Detected 32 amino acids in BAL fluid, with 10 showing significant differences between cancerous and healthy lungs (p < 0.05).
  • Constructed diagnostic models using amino acid combinations that achieved positive predictive values ranging from 0.88 to 0.93.
  • Identified specific combinations, such as Ornithine-Lysine-Carnosine-Valine, as having high sensitivity and specificity for NSCLC diagnosis.

Abstract

Abstract Rationale Metabolic alteration in cancer patients identified by various tumor markers has revolutionized treatment and diagnostics for various malignancies. Mass spectrometry-based metabolomics is considered a promising field for developing novel tumor biomarkers. Among metabolites, amino acids are some of the most suitable biomarkers for cancer research because they are directly involved in the metabolic pathways that feed tumor cells. Previously published studies have compared the metabolites within blood, sputum, and exhaled breath condensate in individuals with cancer against a control population without underlying malignancy. This study uses bronchoalveolar lavage (BAL) fluid to analyze differences between the amino acid profiles of the healthy and the affected lung of patients with known non-small cell lung cancer (NSCLC). Methods We performed a metabolomic analysis of BAL fluid from 14 patients with NSCLC using high-performance liquid chromatography - mass spectrometry. Bronchoscopy was performed in each patient under sedation and BAL samples were obtained from the segmental bronchus leading to the tumor and from the corresponding bronchus of the contralateral healthy lung, which served as a control. Based on the amino acid profiles, we developed a diagnostic model for NSCLC, and its performance was evaluated using Receiver Operating Characteristic (ROC) analysis. Results A total of 32 amino acids were detected in the BAL fluid. Among these, 10 amino acids showed statistically significant differences (p 0.05) between the cancerous and contralateral healthy lungs: valine, lysine, ornithine, asparagine, trans-4-hydroxyproline, carnosine, 1-methylhistidine, homocitrulline, alanine, and 2-aminobutyric acid. These combinations of amino acids were used to construct diagnostic models for NSCLC based on ROC analysis (Fig.). The following combinations of four amino acids - Ornithine-Lysine-Carnosine-Valine; Ornithine-Lysine-Asparagine-2-Aminobutyric Acid; Ornithine-Lysine-Homocitrulline-Valine; and 1-Methylhistidine-Asparagine-trans-4-Hydroxyproline-Alanine - demonstrated the highest positive predictive value for NSCLC (0.88-0.93) with a cutoff of 0.41-0.8 with high sensitivity and specificity. Conclusion BAL fluid in patients with NSCLC shows characteristic differences in the amino acid profiles between healthy and affected lungs even within the same individual. These differences may be attributable to distinctive differences in metabolism in tumor cells when compared to normal tissue and may serve as biomarkers of the disease that can be used as an effective method for early diagnosis of NSCLC. This abstract is funded by: None

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Cite This Study

Danilevskaya et al. (2026) studied this question.

synapsesocial.com/papers/6a0d50f3f03e14405aa9d1e5https://doi.org/10.1093/ajrccm/aamag162.3892
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