ArticlePloS one2020
A comprehensive analysis of metabolomics and transcriptomics in non-small cell lung cancer.
Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.
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Who cites it
38 citing papers in PubMed, 63 citations in OpenAlex.
- Non-Targeted Metabolomics Profiling and Anti-Inflammatory Potential of Star Anise Extract in Rats with Cold Stress-Aggravated Acute Lung Injury.Metabolites · 2026Article
- Identification of High-Performing Blood Metabolite Biomarkers of Lung Cancer in a Chinese Population.Phenomics (Cham, Switzerland) · 2026Article
- Multi-omic profiling of squamous cell lung cancer identifies metabolites and related genes associated with squamous cell carcinoma.Molecular oncology · 2025Article
- Research trends in epigenetic studies on lung cancer: a bibliometric and visual analysis of the past decade.Journal of thoracic disease · 2025Article
- [Applications and Advances of Metabolomics in Lung Cancer Research].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2025Review
- Characterizing Plasma-Based Metabolomic Signatures for Metastasis in Non-Small Cell Lung Cancer.Metabolites · 2025Article
- Integrative multi-omics analysis of the microbiome and metabolome in bronchoalveolar lavage fluid from patients with early-stage lung cancer.Frontiers in cellular and infection microbiology · 2025Article
- Metabolomics for early-stage lung adenocarcinoma: diagnostic biomarker screening.Frontiers in oncology · 2025Article
- Integrative Stacking Machine Learning Model for Small Cell Lung Cancer Prediction Using Metabolomics Profiling.Cancers · 2024Article
- Comprehensive analysis of the metabolomics and transcriptomics uncovers the dysregulated network and potential biomarkers of Triple Negative Breast Cancer.Journal of translational medicine · 2024Article
- Article
- Metabolomic Profiling of Tumor Tissues Unveils Metabolic Shifts in Non-Small Cell Lung Cancer Patients with Concurrent Diabetes Mellitus.Journal of proteome research · 2024Article
- Lung Cancer Subtyping: A Short Review.Cancers · 2024Review
- The role of serum acylcarnitine profiling for the detection of multiple solid tumors in humans.Heliyon · 2024Article
- Lipid alterations play a role in the integration of PD-1/PD-L1 inhibitors and anlotinib for the treatment of advanced non-small-cell lung cancer.Lipids in health and disease · 2024Article
- Metabolomics Analysis and Diagnosis of Lung Cancer: Insights from Diverse Sample Types.International journal of medical sciences · 2024Review
- Integration of metabolomics and machine learning revealed tryptophan metabolites are sensitive biomarkers of pemetrexed efficacy in non-small cell lung cancer.Cancer medicine · 2023Article
- How do prolonged anchorage-free lifetimes strengthen non-small-cell lung cancer cells to evade anoikis? - A link with altered cellular metabolomics.Biological research · 2023Article
- Metabolomic differentiation of benign vs malignant pulmonary nodules with high specificity via high-resolution mass spectrometry analysis of patient sera.Nature communications · 2023Article
- Liver metabolomic characteristics in three different rat models of deficiency based on ultra-performance liquid chromatography coupled to quadrupole time-of-flight mass spectrometry.Journal of traditional Chinese medicine = Chung i tsa chih ying wen pan · 2023Article
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Non-small cell lung cancer (NSCLC) remains a leading cause of cancer death globally. More accurate and reliable diagnostic methods/biomarkers are urgently needed. Joint application of metabolomics and transcriptomics technologies possesses the high efficiency of identifying key metabolic pathways and functional genes in lung cancer patients. In this study, we performed an untargeted metabolomics analysis of 142 NSCLC patients and 159 healthy controls; 35 identified metabolites were significantly different between NSCLC patients and healthy controls, of which 6 metabolites (hypoxanthine, inosine, L-tryptophan, indoleacrylic acid, acyl-carnitine C10:1, and lysoPC(18:2)) were chosen as combinational potential biomarkers for NSCLC. The area under the curve (AUC) value, sensitivity (SE), and specificity (SP) of these six biomarkers were 0.99, 0.98, and 0.99, respectively. Potential diagnostic implications of the metabolic characteristics in NSCLC was studied. The metabolomics results were further verified by transcriptomics analysis of 1027 NSCLC patients and 108 adjacent peritumoral tissues from TCGA database. This analysis identified 2202 genes with significantly different expressions in cancer cells compared to normal controls, which in turn defined pathways implicated in the metabolism of the compounds revealed by metabolomics analysis. We built a fully connected network of metabolites and genes, which shows a good correspondence between the transcriptome analysis and the metabolites selected for diagnosis. In conclusion, this work provides evidence that the metabolic biomarkers identified may be used for NSCLC diagnosis and screening. Comprehensive analysis of metabolomics and transcriptomics data offered a validated and comprehensive understanding of metabolism in NSCLC.
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