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Purpose: We have investigated the potential of metabolomics to discover blood-based biomarkers relevant to lung cancer screening and early detection. An untargeted metabolomics approach was applied to identify biomarker candidates using prediagnostic sera from the Beta-Carotene and Retinol Efficacy Trial (CARET) study.
Patients And Methods: A liquid chromatography/mass spectrometry hydrophilic interaction method designed to profile a wide range of metabolites was applied to prediagnostic serum samples from CARET participants (current or former heavy smokers), consisting of 100 patients who subsequently developed non-small-cell lung cancer (NSCLC) and 199 matched controls. A separate aliquot was used to quantify levels of pro-surfactant protein B (pro-SFTPB), a previously established protein biomarker for NSCLC. On the basis of the results from the discovery set, blinded validation of a metabolite, identified as N(1),N(12)-diacetylspermine (DAS), and pro-SFTPB was performed using an independent set of CARET prediagnostic sera from 108 patients with NSCLC and 216 matched controls.
Results: Serum DAS was elevated by 1.9-fold, demonstrating significant specificity and sensitivity in the discovery set for samples collected up to 6 months before diagnosis of NSCLC. In addition, DAS significantly complemented performance of pro-SFTPB in both the discovery and validations sets, with a combined area under the curve in the validation set of 0.808 (P < .001 v pro-SFTPB).
Conclusion: DAS is a novel serum metabolite with significant performance in prediagnostic NSCLC and has additive performance with pro-SFTPB.
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http://dx.doi.org/10.1200/JCO.2015.61.7779 | DOI Listing |
Ann Surg Oncol
September 2025
Department of Thoracic Surgery, Kitasato University School of Medicine, Sagamihara, Kanagawa, Japan.
J Cancer Res Clin Oncol
September 2025
Inner Mongolia Medical University Affiliated Hospital, Hohhot, 010030, Inner Mongolia, China.
Purpose: Lung cancer is currently the most common malignant tumor worldwide and one of the leading causes of cancer-related deaths, posing a serious threat to human health. MicroRNAs (miRNAs) are a class of endogenous non-coding small RNA molecules that regulate gene expression and are involved in various biological processes associated with lung cancer. Understanding the mechanisms of lung carcinogenesis and detecting disease biomarkers may enable early diagnosis of lung cancer.
View Article and Find Full Text PDFCancer Immunol Immunother
September 2025
Department of Thoracic Surgery, Tangdu Hospital, Fourth Military Medical University, Xi'an, 710038, China.
Objective: CircRNAs are involved in cancer progression. However, their role in immune escape in non-small cell lung cancer (NSCLC) remains poorly understood.
Methods: This study employed RIP-seq for the targeted enrichment of circRNAs, followed by Western blotting and RT-qPCR to confirm their expression.
Nat Genet
September 2025
Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK.
Aberrant DNA methylation has been described in nearly all human cancers, yet its interplay with genomic alterations during tumor evolution is poorly understood. To explore this, we performed reduced representation bisulfite sequencing on 217 tumor and matched normal regions from 59 patients with non-small cell lung cancer from the TRACERx study to deconvolve tumor methylation. We developed two metrics for integrative evolutionary analysis with DNA and RNA sequencing data.
View Article and Find Full Text PDFNat Prod Bioprospect
September 2025
College of Pharmaceutical Sciences, Key Laboratory of Medicinal Chemistry and Molecular Diagnostics of Education Ministry of China, State Key Laboratory of New Pharmaceutical Preparations and Excipients, Hebei University, Baoding, 071002, People's Republic of China.
Five new heterodimers, chalasoergodimers A-E (1-5), and three known heterodimers (6-8), along with four chaetoglobosin monomers (9-12), were isolated from a marine-derived Chaetomium sp. fungus. The structures of new compounds 1-5 were elucidated by HRESIMS, NMR, chemical calculated C NMR and ECD methods.
View Article and Find Full Text PDF