Barely Significant

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Different time points of vasculitis exhibit distinct cellular communication patterns, with CD14 monocytes playing a pivotal role in communication during the early stages of vasculitis Overall, as the duration of vasculitis extended, the number and intensity of cell-to-cell communications in the early stages of vasculitis showed a trend of increasing and then decreasing ( Figure 2a ).
The investigation of T-helper (Th) cell specific cytokine release in trauma patients revealed conflicting results: Patients presenting with hemorrhagic shock showed a trend toward higher cytokine concentrations for the Th2-specific cytokines IL-4 and IL-10 with lower concentrations for the Th1-specific cytokines Interferon γ (IFN-γ) and IL-2 ( 15 ).
In a phase III study, infusion with autologous tumor cell–bacillus Calmette-Guérin (BCG) vaccine after surgical resection in stage II and III colon cancer patients didn’t show statistically significant differences in clinical outcomes compared with the arm under surgical resection alone, though there was a slight trend in PFS and OS ( 72 ).
Cancer immunotherapies: advances and bottlenecks.
Front Immunol · 2023 · PMC10484345
highly significantqualifiedgold
In the pathway analyses, the 11 PCC-specific DEGs showed highly significant enrichment to “Bone Marrow-erythrocyte” in the Tabula Sapiens database and to “Heme metabolism” in the MSigDB database ( Figure 4E ). 3.5 Subset of male patients with PCC demonstrate a high fraction of erythroblasts and have abnormal heme metabolism and biosynthesis in blood transcriptome To identify the possible cellular differences between PCC, Recov, and Ctrl male subjects, we used a deconvolution method to identify transcriptional cell subtype fractions.
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This demonstrated a highly significant association of the gene-proximal BAP1 binding sites with the genes involved in proteosome-dependent protein degradation, DNA damage response, and protein trafficking, and the association of the gene-distal BAP1 binding sites with the genes involved in the regulation of transcription and RNA processing ( Figure 5B , Supplementary Tables S3B, C ).
We visualized the relationship between each of the 10 subclusters and TPS data through bar plots and dimension plots, which revealed a clear trend of increased number of specific clusters with increase in TPSs and a decreased number of clusters with low TPSs ( Figure 1C , Supplementary Figure 1C ).