Additional file 4 of Diagnostic and prognostic values of pyroptosis-related genes for the hepatocellular carcinoma

Additional file 4. The gene set associated with the immune cell subtypes

Additional file 8 of Diagnostic and prognostic values of pyroptosis-related genes for the hepatocellular carcinoma

Additional file 8. The pyroptosis related DEGs between the non-tumor and tumor samples in the ICGC cohort

Additional file 6 of Diagnostic and prognostic values of pyroptosis-related genes for the hepatocellular carcinoma

Additional file 6. Table S6. The clinical information of the IMvirgor210 cohort

Additional file 1 of Diagnostic and prognostic values of pyroptosis-related genes for the hepatocellular carcinoma

Additional file 1. Table S1. The clinical information of the paired samples in the TCGA cohort and ICGC cohort

Additional file 7 of Diagnostic and prognostic values of pyroptosis-related genes for the hepatocellular carcinoma

Additional file 7. The pyroptosis related DEGs between the non-tumor and tumor samples in the TCGA cohort

Additional file 3 of Diagnostic and prognostic values of pyroptosis-related genes for the hepatocellular carcinoma

Additional file 3. Table S3. Pyroptosis-related genes

Additional file 5 of Diagnostic and prognostic values of pyroptosis-related genes for the hepatocellular carcinoma

Additional file 5. The gene set associated with the immune-related pathways

Additional file 2 of Diagnostic and prognostic values of pyroptosis-related genes for the hepatocellular carcinoma

Additional file 2. Table S2. The clinical information of HCC samples in the TCGA cohort and the ICGC cohort

pH-Mediated Clustering of Exosomes: Breaking Through the Size Limit of Exosome Analysis in Conventional Flow Cytometry

Exosomes have recently emerged as some of the most promising biomarkers for disease diagnosis. Due to their small sizes and composition heterogeneity, exosomes are difficult to detect by currently available platforms. Here, we report a pH-mediated assembly system that converts single nanosized exosomes into microsized clusters, which can be directly analyzed by conventional flow cytometry (FCM), breaking through the size limit of exosome analysis. We demonstrated the clinical utility of the pH-mediated clustering system by profiling the exosomal proteins from blood plasma samples of 33 cancer patients and 11 benign controls. The results indicated that the combination of MUC-1 and PD-L1 could serve as a new biomarker panel for the early diagnosis of liver cancer with high clinical accuracy. This pH-mediated assembly strategy allows rapid, sensitive, and high-throughput analysis of exosome biomarkers by conventional FCM, which can be easily refined for use in both basic and clinical settings