Table 2. MicroRNA-associated functional pathways in p53/exo.

#	KEGG pathway	# of genes	# of microRNAs	P-value
1	PI3K–Akt signaling pathway (hsa04151)	203	27	<1e-16
2	Focal adhesion (hsa04510)	124	25	<1e-16
3	Ubiquitin-mediated proteolysis (hsa04120)	91	24	<1e-16
4	Pathways in cancer (hsa05200)	192	24	<1e-16
5	MAPK signaling pathway (hsa04010)	141	23	<1e-16
6	ErbB signaling pathway (hsa04012)	59	22	<1e-16
7	TGF-beta signaling pathway (hsa04350)	60	21	<1e-16
8	p53 signaling pathway (hsa04115)	48	21	<1e-16
9	Wnt signaling pathway (hsa04310)	97	20	<1e-16
10	Small cell lung cancer (hsa05222)	49	20	<1e-16
11	Transcriptional misregulation in cancer (hsa05202)	90	18	<1e-16
12	Chronic myeloid leukemia (hsa05220)	43	17	5.52E-13
13	Phosphatidylinositol signaling system (hsa04070)	40	17	1.02E-09
14	HTLV-I infection (hsa05166)	121	17	1.48E-07
15	Endocytosis (hsa04144)	99	16	8.47E-09
16	Melanoma (hsa05218)	47	16	6.33E-13
17	Regulation of actin cytoskeleton (hsa04810)	100	13	7.73E-09
18	Non-small-cell lung cancer (hsa05223)	30	11	1.12E-08
19	HIF-1 signaling pathway (hsa04066)	52	10	0.002182597
20	ECM–receptor interaction (hsa04512)	28	7	<1e-16

We collected the exosomes secreted from SK-LU-1 cells transfected with HA nanoparticles encapsulated with wt-p53 plasmid. miRNA expression was undertaken using Nanostring. Using microT-CDs target predicting data set along with mirPATH software, we characterized the top KEGG pathways predicted for interaction enrichments for miRNAs in p53/exo. Ln(P-value) is a natural logarithmic scale of the P-value obtained from a χ² test comparing expected number of genes with interaction and the actual number composing the pathways (DIANA algorithm). The third column indicates the number of genes identified as targets of the differentially expressed miRNAs in the specific groups enlisted in the fourth column. Abbreviations: ECM, extracellular matrix; HIF-1, hypoxia-inducible factor-1; HTLV-1, human T-lymphotrophic virus-1

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