Construction of a risk prediction model using m6A RNA methylation regulators in prostate cancer: comprehensive bioinformatic analysis and histological validation

Table 6 Abundance of each infiltrating immune cell among the three m6Aclusters

Immune cell infiltration	Group A (median)	Group B (median)	Group C (median)	P value	P symbol^a
Activated.B.cellna	0.367609	0.35241	0.320044	0.035299	*
Activated.CD4.T.cellna	0.581698	0.553239	0.544626	2.04E-07	***
Activated.CD8.T.cellna	0.741994	0.729711	0.729734	0.119033	ns
Activated.dendritic.cellna	0.566906	0.55417	0.545927	0.014999	*
CD56bright.natural.killer.cellna	0.803422	0.796865	0.786135	0.000248	***
CD56dim.natural.killer.cellna	0.768694	0.770296	0.777682	0.468408	ns
Eosinophilna	0.452763	0.44455	0.421455	0.000297	***
Gamma.delta.T.cellna	0.672574	0.672239	0.675783	0.999306	ns
Immature..B.cellna	0.446315	0.41228	0.424357	0.01113	*
Immature.dendritic.cellna	0.812085	0.79882	0.779721	1.15E-10	***
MDSCna	0.734421	0.71748	0.710971	0.169041	ns
Macrophagena	0.493925	0.484737	0.485948	0.440833	ns
Mast.cellna	0.546259	0.546121	0.546628	0.844207	ns
Monocytena	0.880654	0.87941	0.879403	0.913355	ns
Natural.killer.T.cellna	0.466253	0.464513	0.456207	0.069941	ns
Natural.killer.cellna	0.74012	0.730841	0.715254	1.39E-05	***
Neutrophilna	0.233375	0.241803	0.236327	0.692117	ns
Plasmacytoid.dendritic.cellna	0.781692	0.779419	0.777867	0.247269	ns
Regulatory.T.cellna	0.586997	0.561565	0.544363	0.000173	***
T.follicular.helper.cellna	0.604853	0.598244	0.592525	0.029061	*
Type.1.T.helper.cellna	0.597887	0.585768	0.570837	0.000293	***
Type.17.T.helper.cellna	0.466109	0.466299	0.464527	0.584038	ns
Type.2.T.helper.cellna	0.61026	0.582465	0.582235	3.01E-09	***

ISSN: 1475-2867