2022
DOI: 10.3390/biomedicines10112738
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Quantitative Proteomics Indicate Radical Removal of Non-Small Cell Lung Cancer and Predict Outcome

Abstract: Non-small cell lung cancer (NSCLC) is associated with low survival rates, often due to late diagnosis and lack of personalized medicine. Diagnosing and monitoring NSCLC using blood samples has lately gained interest due to its less invasive nature. In the present study, plasma was collected at three timepoints and analyzed using proximity extension assay technology and quantitative real-time polymerase chain reaction in patients with primary NSCLC stages IA–IIIA undergoing surgery. Results were adjusted for pa… Show more

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Cited by 4 publications
(2 citation statements)
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“…Furthermore, contemporary emphasis has been directed towards quantitative proteomics and its use in biomarker identification. MIC-A/B, FASLG, and HGF have gained prominence as indicators for the radical resection of NSCLC [42]. The combination of advanced surgical techniques with the development of biochemistry may be the future of lung cancer surgery.…”
Section: Discussionmentioning
confidence: 99%
“…Furthermore, contemporary emphasis has been directed towards quantitative proteomics and its use in biomarker identification. MIC-A/B, FASLG, and HGF have gained prominence as indicators for the radical resection of NSCLC [42]. The combination of advanced surgical techniques with the development of biochemistry may be the future of lung cancer surgery.…”
Section: Discussionmentioning
confidence: 99%
“…Targeted therapies for several types of cancer, including NSCLC, have emerged as a beneficial option for subsets of patients. Current treatment guidelines for advanced NSCLC call for broad molecular profiling to identify and guide the choice of potential targeted therapy options [10]. The proportion of patients with NSCLC receiving next generation sequencing (NGS) is low, which is in part due to insufficient availability of tumor tissue at the time of diagnosis.…”
Section: Introductionmentioning
confidence: 99%