Project description:In addition to the generation and analysis of metabolomics data on cell lines, samples of normal lung tissue, adenocarcinoma lung tissue and small cell lung carcinoma tissue (seven samples/group) were processed and evaluated metabolite profile differences under the scope of the pilot and feasibility study. These data can be correlated to the metabolite profiles defined in the SCLC and NSCLC cell lines and integrated with the ABPP-determined metabolic kinases to identify distinct metabolic signatures or biomarkers (?oncometabolites?) that distinguish small cell lung cancer from non-small cell lung cancer.
Project description:Early detection of small cell lung cancer crucially demands highly reliable markers. Growing evidence suggests that extracellular vesicles carry tumor cell-specific cargo suitable as protein markers in cancer. Therefore, we isolated plasma-derived exosomes from newly diagnosed small cell lung cancer patients and investigated proteome dynamics of these exosomes aiming at improving the detection of small cell lung cancer. A total of 1,016 proteins were initially identified. After data processing and statistical analysis, several proteins were found to be differentially expressed in comparing small cell lung cancer patients and healthy individuals, indicating that circulating exosomes may encompass specific proteins with potential diagnostic attributes for small cell lung cancer. Furthermore, our data may indicate a novel tumor-suppressing role of blood coagulation and involvement of complement activation in small cell lung cancer pathogenesis.
Project description:Early detection of small cell lung cancer crucially demands highly reliable markers. Growing evidence suggests that extracellular vesicles carry tumor cell-specific cargo suitable as protein markers in cancer. Therefore, we isolated plasma-derived microvesicles from newly diagnosed small cell lung cancer patients and investigated proteome dynamics of these microvesicles aiming at improving the detection of small cell lung cancer. A total of 1,223 proteins were initially identified. After data processing and statistical analysis, several proteins were found to be differentially expressed in comparing small cell lung cancer patients and healthy individuals. Furthermore, our data may indicate involvement of complement activation, integrin-mediated signaling, cell adhesion- and migration, and blood coagulation in small cell lung cancer pathogenesis.
