Additional file 5 of Circulating microvesicles and exosomes in small cell lung cancer by quantitative proteomics

Additional file 5: Table S4. Significantly regulated proteins in 20 K and 100 K samples

Additional file 2 of Circulating microvesicles and exosomes in small cell lung cancer by quantitative proteomics

Additional file 2: Table S1. Top 100 proteins related to EVs from EV databases ExoCarta and Vesiclepedia

Circulating microvesicles and exosomes in small cell lung cancer by quantitative proteomics

Abstract Background Early detection of small cell lung cancer (SCLC) crucially demands highly reliable markers. Growing evidence suggests that extracellular vesicles carry tumor cell-specific cargo suitable as protein markers in cancer. Quantitative proteomic profiling of circulating microvesicles and exosomes can be a high-throughput platform for discovery of novel molecular insights and putative markers. Hence, this study aimed to investigate proteome dynamics of plasma-derived microvesicles and exosomes in newly diagnosed SCLC patients to improve early detection. Methods Plasma-derived microvesicles and exosomes from 24 healthy controls and 24 SCLC patients were isolated from plasma by either high-speed- or ultracentrifugation. Proteins derived from these extracellular vesicles were quantified using label-free mass spectrometry and statistical analysis was carried out aiming at identifying significantly altered protein expressions between SCLC patients and healthy controls. Furthermore, significantly expressed proteins were subjected to functional enrichment analysis to identify biological pathways implicated in SCLC pathogenesis. Results Based on fold change (FC) ≥ 2 or ≤ 0.5 and AUC ≥ 0.70 (

Additional file 4 of Circulating microvesicles and exosomes in small cell lung cancer by quantitative proteomics

Additional file 4: Table S3. Functional Enrichment analysis

Circulating microvesicles and exosomes in small cell lung cancer by quantitative proteomics

Abstract Background Early detection of small cell lung cancer (SCLC) crucially demands highly reliable markers. Growing evidence suggests that extracellular vesicles carry tumor cell-specific cargo suitable as protein markers in cancer. Quantitative proteomic profiling of circulating microvesicles and exosomes can be a high-throughput platform for discovery of novel molecular insights and putative markers. Hence, this study aimed to investigate proteome dynamics of plasma-derived microvesicles and exosomes in newly diagnosed SCLC patients to improve early detection. Methods Plasma-derived microvesicles and exosomes from 24 healthy controls and 24 SCLC patients were isolated from plasma by either high-speed- or ultracentrifugation. Proteins derived from these extracellular vesicles were quantified using label-free mass spectrometry and statistical analysis was carried out aiming at identifying significantly altered protein expressions between SCLC patients and healthy controls. Furthermore, significantly expressed proteins were subjected to functional enrichment analysis to identify biological pathways implicated in SCLC pathogenesis. Results Based on fold change (FC) ≥ 2 or ≤ 0.5 and AUC ≥ 0.70 (

Additional file 1 of Circulating microvesicles and exosomes in small cell lung cancer by quantitative proteomics

Additional file 1: Fig. S1. A supplementary Venn diagram was created to illustrate the proteins uniquely up- and downregulated for 20 K or 100 K, respectively, and those that are commonly expressed. Venn diagram describing differences between MV and exosomal proteins

Additional file 3 of Circulating microvesicles and exosomes in small cell lung cancer by quantitative proteomics

Additional file 3: Table S2. Protein clusters and gene names

Additional file 6 of Circulating microvesicles and exosomes in small cell lung cancer by quantitative proteomics

Additional file 6: Table S5. Potential diagnostic proteins