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What biomarkers have been identified for early detection of lung cancer using proteomics analysis? 


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Proteomic analyses have identified several biomarkers for the early detection of lung cancer. These biomarkers include proteins such as ECH1 and HNRNPA2B1, which were recognized by serum autoantibodies in lung cancer patients . Additionally, lipidomics has revealed specific plasma lipid markers like LPE(18:1), ePE(40:4), C(18:2)CE, and SM(22:0) that can distinguish early-stage lung carcinoma from healthy individuals, showing promise for quick and safe blood tests for early diagnosis . Furthermore, quantitative proteomics of heavily glycosylated serum proteins like AMBP, α2 macroglobulin, and SERPINA1 have shown variations in expression linked to the stage of the disease, indicating their potential as biomarkers for early lung cancer detection and monitoring disease progression . These findings highlight the diverse range of biomarkers identified through proteomics and lipidomics analyses for the early detection of lung cancer.

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LPE(18:1), ePE(40:4), C(18:2)CE, and SM(22:0) were identified as plasma lipid biomarkers for early detection of lung cancer using lipidomics, not proteomics.
ECH1 and HNRNPA2B1 were identified as potential biomarkers for early detection of lung cancer using serological proteome analysis, showing promising sensitivity and specificity in discriminating patients from normal individuals.
Proteins, autoantibodies, and circulating tumor cells (CTCs) are identified biomarkers for early lung cancer detection, showing promising performance in liquid biopsy-based approaches.
Exhaled breath condensate (EBC) biomarkers identified through proteomic analysis offer potential for noninvasive early detection of lung cancer.
α2 macroglobulin, αmicroglobulin/bikunin, and SERPINA1 are potential biomarkers for early detection of lung cancer, identified through proteomics analysis of serum proteins in NSCLC patients.

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