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Fig. 3 | Journal of Translational Medicine

Fig. 3

From: Prediction of occult tumor progression via platelet RNAs in a mouse melanoma model: a potential new platform for early detection of cancer

Fig. 3

Bioinformatics analyses of differentially expressed genes from suboptimal inoculation group. a Schematics of screening strategy for differentially expressed genes for screening early cancer biomarkers (eDEGs). Eligible genes differentially expressed between S (suboptimal inoculation group, mice inoculated with 2 × 103 cells) and C group (negative control group, mice injected with HBSS), and also between S and O group (optimal inoculation group, mice inoculated with 1 × 105 cells), shown in red columns (eligible eDEGs criteria see details in “Methods”). b Top GO terms of pathway enrichment analysis of eligible eDEGs with reference from KEGG pathways. Adjusted P value < 0.05, Benjamini and Hochberg method. ce Top 3 PPI networks modules of eligible eDEGs. Color of a node in the PPI network: log2 (Fold change, FC) value of normalized read counts of genes from S group compared with C group; Size of a node: number of interacting proteins with the designated protein (c–e). f Panel of 36 genes screened from mRNA sequencing data besides 5 reference genes

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