ArticleAnalytica chimica acta2018
Exosomal lipids for classifying early and late stage non-small cell lung cancer.
Article in Analytica chimica acta, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers.
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Who cites it
63 citing papers in PubMed, 112 citations in OpenAlex.
- Small Extracellular Vesicle and Total Lipid Profiles Provide a Diagnostic Advantage Over CA-125 Across Ovarian Cancer Subtypes.Journal of extracellular vesicles · 2026Article
- Lipidome Analysis of Cancer Cells and Their Extracellular Vesicles Reveals Cancer-Type-Specific Lipid Signatures and Enables the Design of EV-Mimetic Liposomes.Journal of extracellular vesicles · 2026Article
- Evaluating Novel Direct Injection Liquid Chromatography-Mass Spectrometry Method and Extraction-Based Workflows for Untargeted Lipidomics of Extracellular Vesicles.Journal of proteome research · 2025Article
- Curcumin as a Dual Modulator of Pyroptosis: Mechanistic Insights and Therapeutic Potential.International journal of molecular sciences · 2025Review
- Amphipathic helical peptide-Nile red probes for fluorescence probing of the lipid packing defects and their surrounding membranes on exosomes.Scientific reports · 2025Article
- Extracellular vesicles as biomarkers and drug delivery systems for tumor.Acta pharmaceutica Sinica. B · 2025Review
- Whispers in the Lungs: Small Extracellular Vesicles in Lung Cancer and COPD Crosstalk.Cancers · 2025Review
- Targeting secretory autophagy in solid cancers: mechanisms, immune regulation and clinical insights.Experimental hematology & oncology · 2025Review
- Development a glycosylated extracellular vesicle-derived miRNA Signature for early detection of esophageal squamous cell carcinoma.BMC medicine · 2025Article
- Exosomes in early lung cancer diagnostics: the current state of progress made and prospects.Frontiers in cell and developmental biology · 2025Review
- Relationship between exosomes and cancer: formation, diagnosis, and treatment.International journal of biological sciences · 2025Review
- Untargeted metabolomic profiling of small extracellular vesicles reveals potential new biomarkers for triple negative breast cancer.Metabolomics : Official journal of the Metabolomic Society · 2024Article
- Molecular and Functional Cargo of Plasma-Derived Exosomes in Patients with Hereditary Hemorrhagic Telangiectasia.Journal of clinical medicine · 2024Article
- Lipid metabolism associated crosstalk: the bidirectional interaction between cancer cells and immune/stromal cells within the tumor microenvironment for prognostic insight.Cancer cell international · 2024Review
- An Advanced Lung Carcinoma Prediction and Risk Screening Model Using Transfer Learning.Diagnostics (Basel, Switzerland) · 2024Article
- Increasing the sensitivity and accuracy of detecting exosomes as biomarkers for cancer monitoring using optical nanobiosensors.Cancer cell international · 2024Review
- Extracellular vesicles in cancer cachexia: deciphering pathogenic roles and exploring therapeutic horizons.Journal of translational medicine · 2024Review
- To Explore the Mechanism of Maiwei Dihuang Decoction in the Treatment of Non-small Cell Lung Cancer based on Network Pharmacology Combined with LC-MS.Current computer-aided drug design · 2024Article
- Synovial fluid extracellular vesicles as arthritis biomarkers: the added value of lipid-profiling and integrated omics.Extracellular vesicles and circulating nucleic acids · 2024Review
- Extracellular vesicle-based liquid biopsy biomarkers and their application in precision immuno-oncology.Biomarker research · 2023Review
3 more citing papers are in PubMed but not listed here.
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Authors and funding
9 authors at 1 institution in 1 country.
Funding
Abstract
Lung cancer is the leading cause of cancer deaths in the United States. Patients with early stage lung cancer have the best prognosis with surgical removal of the tumor, but the disease is often asymptomatic until advanced disease develops, and there are no effective blood-based screening methods for early detection of lung cancer in at-risk populations. We have explored the lipid profiles of blood plasma exosomes using ultra high-resolution Fourier transform mass spectrometry (UHR-FTMS) for early detection of the prevalent non-small cell lung cancers (NSCLC). Exosomes are nanovehicles released by various cells and tumor tissues to elicit important biofunctions such as immune modulation and tumor development. Plasma exosomal lipid profiles were acquired from 39 normal and 91 NSCLC subjects (44 early stage and 47 late stage). We have applied two multivariate statistical methods, Random Forest (RF) and Least Absolute Shrinkage and Selection Operator (LASSO) to classify the data. For the RF method, the Gini importance of the assigned lipids was calculated to select 16 lipids with top importance. Using the LASSO method, 7 features were selected based on a grouped LASSO penalty. The Area Under the Receiver Operating Characteristic curve for early and late stage cancer versus normal subjects using the selected lipid features was 0.85 and 0.88 for RF and 0.79 and 0.77 for LASSO, respectively. These results show the value of RF and LASSO for metabolomics data-based biomarker development, which provide robust an independent classifiers with sparse data sets. Application of LASSO and Random Forests identifies lipid features that successfully distinguish early stage lung cancer patient from healthy individuals.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.